Clinical Neurophysiology: Electroencephalography and Evoked Potentials

Published on 12/04/2015 by admin

Filed under Neurology

Last modified 22/04/2025

Print this page

rate 1 star rate 2 star rate 3 star rate 4 star rate 5 star
Your rating: none, Average: 0 (0 votes)

This article have been viewed 4637 times

Chapter 32A Clinical Neurophysiology

Electroencephalography and Evoked Potentials

The techniques of applied electrophysiology are of practical importance in diagnosing and managing certain categories of neurological disease. Modern instrumentation permits selective investigation of various functional aspects of the central and peripheral nervous systems. The electroencephalogram (EEG) and evoked potentials are measures of electrical activity generated by the central nervous system (CNS). Despite the introduction of positron emission tomography (PET), functional magnetic resonance imaging (MRI), and magnetoencephalography (MEG), electroencephalography and evoked potential studies currently are the only readily available laboratory tests of brain physiology. As such, they generally are complementary to anatomical imaging techniques such as computed tomography (CT) or MRI, especially when it is desirable to document abnormalities that are not associated with detectable structural alterations in brain tissue. Furthermore, electroencephalography provides the only continuous measure of cerebral function over time.

This chapter is not intended as a comprehensive account of all aspects of electroencephalography and evoked potentials. Rather, the intent is to provide clinicians with an appreciation of the scope and limitations of these investigations as currently used.

Electroencephalography

Physiological Principles of Electroencephalography

The cerebral cortex generates EEG signals. Spontaneous EEG activity reflects the flow of extracellular space currents generated by the summation of excitatory and inhibitory synaptic potentials occurring on thousands or even millions of cortical neurons. Individual action potentials do not contribute directly to EEG activity. A conventional EEG recording is a continuous graph, over time, of the spatial distribution of changing voltage fields at the scalp surface that result from ongoing synaptic activity in the underlying cortex.

EEG rhythms appear to be part of a complex hierarchy of cortical oscillations that are fundamental to the brain’s information processing mechanisms, including input selection and transient “binding” of distributed neuronal assemblies (Buzsaki and Draguhn, 2004). In addition to reflecting the spontaneous intrinsic activities of cortical neurons, the EEG depends on important afferent inputs from subcortical structures including the thalamus and brainstem reticular formation. Thalamic afferents, for example, probably are responsible for entraining cortical neurons to produce the rhythmic oscillations that characterize normal patterns like alpha rhythm and sleep spindles. An EEG abnormality may occur directly from disruption of cortical neural networks or indirectly from modification of subcortical inputs onto cortical neurons.

A scalp-recorded EEG represents only a limited, low-resolution view of the electrical activity of the brain. This is due in part to the pronounced voltage attenuation and “blurring” that occurs from overlying cerebrospinal fluid (CSF) and tissue layers. Relatively large areas of cortex have to be involved in similar synchronized activity for a discharge to appear on the EEG. For example, recordings obtained from arrays of microelectrodes penetrating into the cerebral cortex reveal a complex architecture of seizure initiation and propagation invisible to recordings from the scalp or even the cortical surface, with seizure-like discharges occurring in areas as small as a single cortical column (Schevon et al., 2008). Furthermore, potentials involving surfaces of gyri are more readily recorded than potentials arising in the walls and depths of sulci. Activity generated over the lateral convexities of the hemispheres records more accurately than does activity coming from interhemispherical, mesial, or basal areas. In the case of epileptiform activity, estimates are that 20% to 70% of cortical spikes do not appear on the EEG, depending on the region of cortex involved. Additionally, although the scalp-recorded EEG consists almost entirely of signals slower than approximately 40 Hz, intracranial oscillations of several hundred hertz may be recorded and, of clinical importance, have been associated with both normal physiological processes and seizure initiation (Schevon et al., 2009).

Such considerations limit the usefulness of electroencephalography. First, surface recordings are not useful to unambiguously determine the nature of synaptic events contributing to a particular EEG wave. Second, the EEG is rarely specific as to cause because different diseases and conditions produce similar EEG changes. In this regard, the EEG is analogous to findings on the neurological examination—hemiplegia caused by a stroke cannot be distinguished from that caused by a brain tumor. Third, many potentials occurring at the brain surface involve such a small area or are of such low voltage that they cannot be detected at the scalp. The EEG results then may be normal despite clear indications from other data of focal brain dysfunction. Finally, abnormalities in brain areas inaccessible to EEG recording electrodes (some cortical areas and virtually all subcortical and brainstem regions) do not affect the EEG directly but may exert remote effects on patterns of cortical activity.

Normal Electroencephalographic Activities

Spontaneous fluctuations of voltage potential at the cortical surface are in the range of 100 to 1000 mV, but at the scalp are only 10 to 100 mV. Different parts of the cortex generate relatively distinct potential fluctuations, which also differ in the waking and sleep states.

In most normal adults, the waking pattern of EEG activity consists mainly of sinusoidal oscillations occurring at 8 to 12 Hz, which are most prominent over the occipital area—the alpha rhythm (Fig. 32A.1, A). Eye opening, mental activity, and drowsiness attenuate (block) the alpha rhythm. Activity faster than 12 Hz beta activity normally is present over the frontal areas and may be especially prominent in patients receiving barbiturate or benzodiazepine drugs. Activity slower than 8 Hz is divisible into delta activity (1 to 3 Hz) and theta activity (4 to 7 Hz). Adults normally may show a small amount of theta activity over the temporal regions; the percentage of intermixed theta frequencies increases after the age of 60 years. Delta activity is not present normally in adults when they are awake but appears when they fall asleep (see Fig. 32A.1, B). The amount and amplitude of slow activity (theta and delta) correlate closely with the depth of sleep. Slow frequencies are abundant in the EEGs of newborns and young children, but these disappear progressively with maturation.

Common Types of Electroencephalographic Abnormalities

Recording Techniques

The EEG recording methods in common use are summarized in the following discussion. Details can be found in the American Clinical Neurophysiology Society’s Guidelines (2006).

A series of small gold, silver, or silver–silver chloride disks are symmetrically positioned over the scalp on both sides of the head in standard locations (the International Ten-Twenty system). In practice, 20 or more channels of EEG activity are recorded simultaneously, each channel displaying the potential difference between two electrodes. Electrode pairs are interconnected in different arrangements called montages to permit a comprehensive survey of the brain’s electrical activity. Typically, the design of montages is to compare symmetrical areas of the two hemispheres, anterior versus posterior regions, or parasagittal versus temporal areas in the same hemisphere.

A typical study is about 30 to 45 minutes in duration and includes two types of “activating procedures”: hyperventilation and photic stimulation. In some patients, these techniques provoke abnormal focal or generalized alterations in activity that are of diagnostic importance and would otherwise go undetected (Fig. 32A.2). Recording during sleep and after sleep deprivation, and placement of additional electrodes at other recording sites are useful in detecting specific kinds of epileptiform potentials. The use of other maneuvers depends on the clinical question posed. For example, epileptiform activity may occasionally activate only by movement or specific sensory stimuli. Vasovagal stimulation may be important in some types of syncope.

In the past, EEG recording instruments were simple analog devices with banks of amplifiers and pen-writers. In contrast, modern EEG machines make use of digital processing and storage, and the electroencephalographer interprets the EEG from a computer display rather than from paper. Technological advances have not fundamentally changed the principles of EEG interpretation, but they have facilitated EEG reading. Early paper-based EEG systems required that all recording parameters—display gain, filter settings, and the manner in which scalp-recorded signals were combined and displayed (montages)—be fixed by the technologist at the time of recording. In contrast, digital EEG systems permit the electroencephalographer to adjust these settings at the time of interpretation. A given EEG waveform or pattern can be examined using a number of different instrument settings, including sophisticated montages (e.g., Laplacian montages), that were unavailable using traditional analog recording systems. Topographic maps can be useful to depict spatial relationships, displaying features of the EEG in a graphical manner similar to that for functional MRI (fMRI) or PET. For example, topographical maps can illustrate EEG voltage distributions over the scalp at a particular point in time (Fig. 32A.3) as well as the distributions of particular frequencies contained within the EEG. Although this flexibility does not change the interpretive strategies used to read an EEG, it does allow the electroencephalographer to apply them more effectively.

In addition to facilitating the standard interpretation of EEGs, mathematical techniques can also be used to reveal features that may not be apparent to visual inspection of raw EEG waveforms. For example, averaging techniques, useful in improving the signal-to-noise ratios of spikes and sharp waves, can reveal field distributions and timing relationships that are not otherwise appreciable. Dipole source localization methods have been used to characterize both interictal spikes and ictal discharges in patients with epilepsy and may contribute to localization of the seizure focus (Ebersole, 2000). Such methods are based on a number of critical assumptions that, if applied without recognition of their limitations, can result in anatomically and physiologically erroneous conclusions (Emerson et al., 1995), so caution is warranted in their use.

For patients undergoing long-term EEG recordings as part of the diagnosis or management of epilepsy, a time-locked digitally recorded video image of the patient is recorded simultaneously with the EEG. EEG data are often processed by software that can automatically detect most seizure activity. Similar systems are finding increased use in intensive care units (ICU), where EEG monitoring has become increasingly important in the management of patients with nonconvulsive seizure activity, threatened or impending cerebral ischemia, severe head trauma, and metabolic coma (Drislane et al., 2008; Friedman et al., 2009). In this setting, compressed spectrograms, which graphically summarize the frequencies present in several hours of EEG on a single screen, can help the electroencephalographer to rapidly pinpoint important changes in the EEG and sometimes spot patterns or trends that otherwise might go unnoticed (Fig. 32A.4) (Scheuer, 2002). It is important to emphasize that fully automated robust systems analogous to those employed for cardiac monitoring are not now available for EEG, and while various automated methods can be very useful, their proper use in clinical practice should be as adjuncts to standard EEG recording and interpretation. False positives and negatives are commonplace; indeed, the very data reduction that makes such methods useful also makes them unsuitable for stand-alone application.

Clinical Uses of Electroencephalography

The EEG assesses physiological alterations in brain activity. Many changes are nonspecific, but some are highly suggestive of specific entities (epilepsy, herpes encephalitis, metabolic encephalopathy). The EEG also is useful in following the course of patients with altered states of consciousness and may, in certain circumstances, provide prognostic information. It can be important in the determination of brain death.

Electroencephalography is not a screening test. It serves to answer a particular problem posed by the patient’s condition, so providing sufficient clinical information helps design an appropriate test with meaningful electrographical clinical correlation. The request for this study should specifically state the question addressed by the EEG.

EEG interpretation should be rational and based on a systematic analysis that uses consistent parameters that permit comparisons with findings expected from the patient’s age and circumstances of recording. Accurate interpretation requires high-quality recording. This depends on trained technologists who understand the importance of meticulous electrode application, proper use of instrument controls, recognition and (where possible) elimination of artifacts, and appropriate selection of recording montages to allow optimal display of cerebral electrical activity.

Epilepsy

The EEG usually is the most helpful laboratory test when a diagnosis of epilepsy is considered. Because the onset of seizures is unpredictable, and their occurrence is relatively infrequent in most patients, EEG recordings usually are obtained when the patient is not having a seizure. Fortunately, electrical abnormalities in the EEG occur in most patients with epilepsy even between attacks.

The only EEG finding that has a strong correlation with epilepsy is epileptiform activity, a term used to describe spikes and sharp waves that are clearly distinct from ongoing background activity. Clinical and experimental evidence supports a specific association between epileptiform discharges and seizure susceptibility. Only about 2% of nonepileptic patients have epileptiform EEGs, whereas as many as 90% of patients with epilepsy show epileptiform activity, depending on the circumstances of the recording and the number of studies obtained.

Nonetheless, interpretation of interictal findings always requires caution. Correlating most epileptiform discharges with the frequency and likelihood of recurrence of epileptic seizures is poor (Selvitelli et al., 2010). Furthermore, a substantial number of patients with unquestionable epilepsy have consistently normal interictal EEGs. The most convincing proof that a patient’s episodic symptoms are epileptic is obtained by recording an electrographical seizure discharge during a typical behavioral attack. Although ictal EEG tracings greatly increase the sensitivity of the study in assessing the pathophysiology of specific behavioral episodes, the clinician must still be aware of limitations inherent in such recordings. (imageVideos showing actual EEG recordings obtained during seizures [Videos 32A.1 to 32A.3] are available at www.expertconsult.com.)

In addition to epileptiform patterns, EEGs in patients with epilepsy often show excessive focal or generalized slow-wave activity. Less often, asymmetries of frequency or voltage may be noted. These findings are not unique to epilepsy and are featured in other conditions such as static encephalopathies, brain tumors, migraine, and trauma. In patients with unusual spells, nonspecific changes on EEG should be weighed cautiously and are not to be considered direct evidence for a diagnosis of epilepsy. On the other hand, when clinical data are unequivocal, or when epileptiform discharges occur as well, the degree and extent of background EEG changes may provide information important for judging the likelihood of an underlying focal cerebral lesion, a more diffuse encephalopathy, or a progressive neurological syndrome. Additionally, EEG findings may help determine prognosis and aid in the decision to discontinue antiepileptic medication.

The type of epileptiform activity on EEG is helpful in classifying a patient’s seizure type correctly and sometimes in identifying a specific epileptic syndrome (see Chapter 67). Clinically, generalized tonic-clonic seizures may be generalized from the outset or may be secondary to spread from a focus. Lapses of awareness with automatisms may be a manifestation either of a generalized nonconvulsive form of epilepsy (absence seizures) or of focal epileptogenic dysfunction (temporal lobe epilepsy). The initial clinical features of a seizure may be uncertain because of postictal amnesia or nocturnal occurrence. In these and similar situations, the EEG can provide information crucial to the correct diagnosis and appropriate therapy.

In generalized seizures of nonfocal origin, the EEG typically shows bilaterally synchronous diffuse bursts of spikes and spike-and-wave discharges (Fig. 32A.5). All generalized EEG epileptiform patterns share certain common features, although the exact expression of the spike-wave activity varies depending on whether the patient has pure absence, tonic-clonic, myoclonic, or atonic-astatic seizures. The EEG also may distinguish between primary and secondary generalized epilepsy. In the former instance, no cerebral disease is demonstrable, whereas in the latter, evidence can be found for diffuse brain damage. Typically, primary (idiopathic) generalized epilepsy is associated with normal or near-normal EEG background rhythms, whereas secondary (symptomatic) epilepsy is associated with some degree of generalized slow-wave activity.

Consistently focal epileptiform activity is the signature of partial (focal) epilepsy (Fig. 32A.6). With the exception of the benign focal epilepsies of childhood, focal epileptiform activity results from neuronal dysfunction caused by demonstrable brain disease. The waveform of focal epileptiform discharges is largely independent of localization, but a reasonable correlation exists between spike location and the type of ictal behavior. Anterior temporal spikes usually are associated with complex partial seizures, rolandic spikes with simple motor or sensory seizures, and occipital spikes with primitive visual hallucinations or diminished visual function as an initial feature.

In addition to distinguishing epileptiform from nonepileptiform abnormalities, EEG analysis sometimes identifies specific electroclinical syndromes. Such syndromes include hypsarrhythmia associated with infantile spasms (West syndrome) (Fig. 32A.7); 3-Hz spike-and-wave activity associated with typical absence attacks (petit mal epilepsy) (Fig. 32A.8); generalized multiple spikes and waves (polyspike-wave pattern) associated with myoclonic epilepsy, including so-called juvenile myoclonic epilepsy of Janz (see Fig. 32A.5, B); generalized sharp and slow waves (slow spike-and-wave pattern) associated with Lennox-Gastaut syndrome (Fig. 32A.9); central-midtemporal spikes associated with benign rolandic epilepsy (Fig. 32A.10); and periodic lateralized epileptiform discharges (PLEDs) associated with acute destructive cerebral lesions such as hemorrhagic cerebral infarction, a rapidly growing malignancy, or herpes simplex encephalitis (Fig. 32A.11) (Pohlmann-Eden et al., 1996). PLEDs may also reappear in patients with chronic structural lesions in the context of new metabolic derangements.

The increased availability of special monitoring facilities for simultaneous video and EEG recording and of ambulatory EEG recorders has improved diagnostic accuracy and the reliability of seizure classification. Prolonged continuous recordings through one or more complete sleep/wake cycles constitute the best way to document ictal episodes and should be considered in patients whose interictal EEGs are normal or nondiagnostic and in clinical dilemmas that are resolvable only by recording actual behavioral events. Although EEG documentation of an ictal discharge establishes the epileptic nature of a corresponding behavioral change, the converse is not necessarily true. Sometimes muscle or movement artifacts so obscure the EEG recording that it is impossible to know whether any EEG change has occurred. In these circumstances, postictal slowing usually is indicative of an epileptic event if similar slow waves are not present elsewhere in the recording and if the EEG recording subsequently returns to baseline. In addition, focal seizures not accompanied by alteration in consciousness occasionally have no detectable scalp correlate. On the other hand, persistence of alpha activity and absence of slowing during and after an apparent convulsive episode are inconsistent with an epileptic generalized tonic-clonic seizure.

Focal Cerebral Lesions

The use of electroencephalography to detect focal cerebral disturbances has declined because of the development and widespread availability of computerized anatomical imaging techniques. Nonetheless, the EEG has a role in documenting focal physiological dysfunction in the absence of discernible structural pathology and in evaluating the functional disturbance produced by known lesions.

Focal delta activity is the usual EEG sign of a local disturbance. A structural lesion is likely if the delta activity is (1) present continuously; (2) shows variability in waveform, amplitude, duration, and morphology (so-called arrhythmic or polymorphic activity); and (3) persists during changes in wake/sleep states (Fig. 32A.12). The localizing value of focal delta activity increases when it is topographically discrete or associated with depression or loss of superimposed faster background frequencies. Superficial lesions tend to produce restricted EEG changes, whereas deep cerebral lesions produce hemispherical or even bilateral delta activity.

Bilateral paroxysmal bursts of rhythmic delta waves (Fig. 32A.13) with frontal predominance—once attributed to subfrontal, deep midline, or posterior fossa lesions—are actually nonspecific and seen more often with diffuse encephalopathies. Focal or lateralized intermittent bursts of rhythmic delta waves as the prominent EEG abnormality suggest a deep supratentorial (periventricular or diencephalic) lesion.

The character and distribution of the EEG changes caused by a focal lesion depend on its size, its distance from the cortical surface, the specific structures involved, and its acuity. A small stroke critically located in the thalamus may produce widespread hemispherical slowing and alteration in sleep spindles and alpha rhythm regulation. A lesion of the same size located at the cortical surface produces few if any EEG findings.

Single lacunae usually produce little or no change in the EEG. Similarly, transient ischemic attacks not associated with chronic cerebral hypoperfusion or imminent occlusion of a major vessel do not significantly affect the EEG outside the symptomatic period. Superficial cortical or large, deep hemispherical infarctions are usually associated with localized EEG abnormalities.

Focal EEG changes (and other nonepileptiform abnormalities) are common in migraine. The likelihood of an abnormal EEG and the severity of the abnormality relate to the timing and character of the migraine attack. EEGs are more likely to be focally abnormal, with complicated rather than common migraine and during rather than between headaches. EEG changes seen with brain tumors are caused by disturbances in bordering brain parenchyma; tumor tissue is electrically silent. Focal EEG changes are caused by interference with patterns of normal neuronal synaptic activity, by destruction or alteration of the cortical neurons, and by metabolic effects caused by changes in blood flow, cellular metabolism, or the neuronal environment. Diffuse EEG changes are the consequence of increased intracranial pressure, shift of midline structures, or hydrocephalus. Electroencephalography is especially helpful in following the extent of cerebral dysfunction over time, in distinguishing between direct effects of the neoplasm and superimposed metabolic or toxic encephalopathies, and in differentiating among epileptic, ischemic, and noncerebral causes for episodic symptoms.

The role of electroencephalography in the management of patients with head injuries is limited. Transient generalized slowing is common after concussion. A persistent area of continuous localized slow-wave activity suggests cerebral contusion even in the absence of a focal clinical or CT abnormality, and unilateral voltage depression suggests subdural hematoma. Electroencephalography performed in the first 3 months after injury does not predict posttraumatic epilepsy.

Metabolic Encephalopathies

Metabolic derangements affecting the brain diffusely constitute one of the most common causes of altered mental function in a general hospital. Generalized slow-wave activity is the main indication of decreased consciousness. The degree of EEG slowing closely parallels the patient’s mental status and ranges from only minor slowing of alpha-rhythm frequency (slight inattentiveness and decreased alertness) to continuous delta activity (coma). Slow-wave activity sometimes becomes bisynchronous and assumes a high-voltage, sharply contoured triphasic morphology, especially over the frontal head regions (Fig. 32A.14). These triphasic waves, originally considered diagnostic of hepatic failure, occur with equal frequency in other metabolic disorders such as uremia, hyponatremia, hyperthyroidism, anoxia, and hyperosmolarity. The value of triphasic waves is that they suggest a metabolic cause in an unresponsive patient.

Some EEG features increase the likelihood of a specific metabolic disorder. Prominent generalized rhythmic beta activity raises the suspicion of drug intoxication in a comatose patient. Severe generalized voltage depression indicates impaired energy metabolism and suggests hypothyroidism if anoxia and hypothermia can be excluded. A photoconvulsive response is seen more often with uremia than with other causes of metabolic encephalopathy. Focal seizure activity is common in patients with hyperosmolar coma.

Hypoxia

Hypoxia, with or without circulatory arrest, produces a wide range of EEG abnormalities depending on the severity and reversibility of the brain damage. EEGs obtained 6 hours or more after the hypoxic insult may show patterns that have prognostic value. Sequential EEGs strengthen the validity of such findings. EEG abnormalities associated with poor neurological outcome are alpha coma, burst suppression, and periodic patterns.

The term alpha coma refers to the apparent paradoxical appearance of monorhythmic alpha frequency activity in the EEG of a comatose patient; the EEG recording may appear normal to the inexperienced observer (Fig. 32A.15). In contrast with normal alpha activity, that seen with alpha coma is generalized, often maximal frontally, and unreactive to external stimuli.

The burst suppression pattern consists of occasional generalized bursts of medium- to high-voltage, mixed-frequency, slow-wave activity, sometimes with intermixed spikes, with intervening periods of severe voltage depression or cerebral inactivity (Fig. 32A.16). Massive myoclonic body jerks may accompany the bursts.

The periodic pattern consists of generalized spikes or sharp waves that recur with a relatively fixed interval, typically 1 or 2 per second (Fig. 32A.17). Sometimes the periodic sharp waves occur independently over each hemisphere. Myoclonic jerks of the limbs or whole body usually accompany a postanoxic periodic pattern.

The prognostic value of these patterns relates exclusively to the cause. Similar features are recognized with potentially reversible causes of coma including deep anesthesia, drug overdose, and severe liver or kidney failure.

Infectious Diseases

Of all infectious diseases affecting the brain, herpes simplex encephalitis is the one for which electroencephalography is most useful in initial assessment. Early and accurate diagnosis is important because the response to acyclovir is best when treatment is started early. Although establishing a definitive diagnosis requires brain biopsy, characteristic EEG changes in the clinical setting of encephalitis are helpful in selecting patients for early treatment and biopsy. The EEG result usually is abnormal and suggestive of herpes infection before CT lesions are recognized.

Viral encephalitis is expected to cause diffuse polymorphic slow-wave activity, and a normal EEG result raises doubt about the diagnosis. With herpes simplex encephalitis, a majority of patients show focal temporal or frontotemporal slowing that may be unilateral or, if bilateral, asymmetrical. Periodic sharp-wave complexes over one or both frontotemporal regions (occasionally in other locations and sometimes generalized) add additional specificity to the EEG findings (see Fig. 32A.11, B). These diagnostic features usually appear between days 2 and 15 of illness and sometimes are detectable only with serial tracings.

Bacterial meningitis causes severe and widespread EEG abnormalities, typically profound slowing and voltage depression, but viral meningitis produces little in the way of significant changes. Although CT has replaced electroencephalography in evaluating patients with suspected brain abscess, focal EEG changes may occur in the early stage of cerebritis before an encapsulated lesion is demonstrable on CT images.

EEG abnormalities usually resolve as the patient recovers, but the rate of resolution of clinical deficits and that of the electrographical findings may be different. It is not possible to predict either residual neurological morbidity or postencephalitic seizures by EEG criteria. An early return of normal EEG activity does not exclude the possibility of persistent neurological impairment.

Aging and Dementia

Because the EEG is a measure of cortical function, theoretically it should be useful in the diagnosis and classification of dementia. The utility of single EEG examinations in evaluating patients with known or suspected dementing illnesses, however, is often disappointing. Two important reasons for this limitation are (1) problems in distinguishing the effects on cerebral electrical activity of normal aging from those caused by disease processes and (2) the absence of generally accepted quantifiable methods of analysis and statistically valid comparison measures.

With increasing age beyond 65 years, a slight reduction in alpha rhythm frequency and in the total amount of alpha activity is normal. Normal elderly persons also show slightly increased amounts of theta and delta activity, especially over the temporal and frontotemporal regions, as well as changes in sleep patterns. Early in the course of some dementing illnesses, no EEG abnormality may be apparent (this is the rule with Alzheimer disease), or the normal age-related changes may become exaggerated, differing more in degree than in kind.

In practice, the EEG can assist in the evaluation of suspected dementia by confirming abnormal cerebral function in patients with a possible psychogenic disorder and by delineating whether the process is focal or diffuse. Sequential EEGs usually are more helpful than a single tracing, and a test early in the course of the illness may provide more specific information than can be obtained later on. Overall, the degree of EEG abnormality shows good correlation with the degree of dementia.

EEG findings in Alzheimer disease are highly dependent on timing. The EEG initially is normal or shows an alpha rhythm at or just below the lower limits of normal. Generalized slowing ensues as the disease progresses. In patients with focal cognitive deficits, accentuation of slow frequency activity over the corresponding brain area may be a feature. Continuous focal slowing is sufficiently unusual to suggest the possibility of another diagnosis. Prominent focal or bilateral independent slow-wave activity, especially if seen in company with a normal alpha rhythm, favors multifocal disease such as multiple cerebral infarcts. Sometimes a specific cause may be suggested. For example, an EEG showing generalized typical periodic sharp-wave complexes in a patient with dementia is virtually diagnostic of Creutzfeldt-Jakob disease (Fig. 32A.18).

Event-related evoked potentials have application in the study of dementia. These long-latency events (i.e., potentials occurring more than 150 msec after the stimulus) are heavily dependent on psychic and cognitive factors. Ideally, they measure the brain’s intrinsic mechanisms for processing certain types of information and are potentially valuable in the electrophysiological assessment of dementia. The best known of the event-related potentials is the P300, or P3, wave. The place of these long-latency evoked potentials in the evaluation of dementia is still under investigation, but the pattern of electrophysiological abnormality may be helpful in distinguishing among types of dementia (Comi and Leocani, 2000).

Magnetoencephalography

Magnetoencephalography is a measure of brain function equivalent to electroencephalography in that the same neuronal sources that generate electrical activity also give rise to magnetic fields. However, MEG differs from EEG in several ways that have theoretical usefulness. The overlying CSF, dura, and skull substantially attenuate EEG potentials; these structures affect magnetic fields less. In addition, electroencephalography measures cortical current sources oriented in all directions but emphasizes radially oriented dipoles. Magnetoencephalography more accurately measures tangential dipoles that are parallel to the cortical surface.

Despite these differences, MEG recordings appear substantially similar to EEG recordings, and when interpreted by visual inspection, appear to have sensitivities for epileptiform activity similar to those of sleep-deprived EEGs (Colon et al., 2009). Although MEG may be potentially more “patient-friendly” than EEG, because it does not require placement of electrodes on the scalp, its substantially greater cost has largely precluded its routine use. The main application of MEG has been to localize sources of evoked potentials and focal epileptiform activity, usually in consideration of epilepsy surgery. The limitations that apply to dipole source localization of EEG signals, however, apply similarly to MEG signals. For this reason, interpretation of MEG findings requires caution, and the technique is best viewed as an adjunct to established methods of localization such as intracranial electroencephalography (Cappell et al., 2006).

Evoked Potentials

Evoked potentials are electrical signals generated by the nervous system in response to sensory stimuli. The sensory system involved and the sequence of activation of different neural structures determine the timing and location of these signals. The choice of stimulus paradigms used in clinical practice is such that the responses the paradigms evoke are sufficiently stereotypical to allow the limits of normal to be clearly defined. Violation of these limits indicates dysfunction of the sensory pathways under study. The American Clinical Neurophysiology Society’s Guidelines 9A to 9D provide an overview of recording methodology, criteria for abnormality, and limitations of use.

Because of their low voltage, evoked potentials generally are not discernible without computer averaging to differentiate them from ongoing EEG activity and other sources of electrical noise. Exceptions are the visual responses evoked by transient flash stimuli, which the routine EEG displays as photic driving. Typically, however, it is necessary to present the stimulus repeatedly, averaging the time-locked brain or spinal cord responses to a series of identical stimuli while allowing unrelated noise to average out.

In the clinical setting, evoked potential studies are properly an extension of the neurological examination. As with any neurological sign, they help reveal the existence and often suggest the location of neurological lesions. Evoked potentials, therefore, are most useful when they detect clinically silent abnormalities that might otherwise go unrecognized, or when they assist in resolving vague or equivocal symptoms and findings. Like electroencephalography, evoked potential studies are tests of function; the findings usually are not etiologically specific.

Visual Evoked Potentials

Cerebral visual evoked potentials (VEPs) are responses of the visual cortex to appropriate stimuli. Recording of the composite retinal response to visual stimuli, electroretinography, may be performed separately. Obtaining the cerebral VEP is accomplished by averaging the responses from occipital scalp electrodes generated by 100 or more sequential stimuli. Stimulus characteristics are critically important in determining the portion of the visual system to test by the VEP and the sensitivity of the test needed. Initial clinical applications of VEPs used a stroboscopic flash stimulus, but severely limiting the utility of the flash-evoked VEP are the great variability of responses among normal persons and its relative insensitivity to clinical lesions (Fig. 32A.19). Occasionally, flash VEPs may provide limited information about the integrity of visual pathways when the preferred pattern-reversal stimulus is not usable, as in infants or older patients unable to cooperate for more sensitive testing methods.

image

Fig. 32A.19 Distributions of latencies of the major occipital positivity to flash (A) and pattern-shift (B) stimulation in healthy control subjects and in the affected and unaffected eyes of patients with optic neuritis. The superior sensitivity of pattern-shift visual evoked potentials to demyelinating lesions is clearly demonstrated.

(Reprinted with permission from Halliday, A.M., 1982. The visual evoked potential in the investigation of diseases of the optic nerve, in: Halliday, A.M. (Ed.), Evoked Potentials in Clinical Testing. Churchill Livingstone, New York.)

Normal Visual Evoked Potential

More sensitive and reliable responses are obtained using a pattern-reversal stimulus. The subject focuses on a high-contrast checkerboard of black and white squares displayed on a video or optical projection screen. The stimulus is the change of black squares to white and of white squares to black (pattern reversal). When appropriate check sizes are used (15 to 40 minutes of arc at the subject’s eye), the VEP is generated primarily by foveal and parafoveal elements. Monocular full-field stimulation almost always is used, so the test is most sensitive to lesions of the optic nerve anterior to the chiasm. It is possible, however, to modify the stimulus presentation so that only selected portions of the visual field are stimulated, thereby permitting detection of postchiasmatic abnormalities as well. VEPs elicited by pattern-reversal stimuli show less intersubject variability than flash VEPs and are much more sensitive to lesions affecting the visual pathways.

A few investigators have further refined the pattern-shift stimulus by using a black-and-white sinusoidal grating rather than a checkerboard pattern. This adaptation appears to enhance test sensitivity by permitting selective stimulation of retinal elements responsive to specific spatial frequencies and of cortical elements sensitive to both spatial frequency and orientation.

A normal pattern-reversal VEP to full-field monocular stimulation is illustrated in Fig. 32A.20. The VEP waveform is deceptively simple. It is the sum of many waveforms generated simultaneously by various areas of the retinotopically organized occipital cortex. By selectively stimulating portions of the visual field, it is possible to dissect the full-field VEP wave into its component waveforms. For example, Fig. 32A.21, recorded from the same patient as in Fig. 32A.20, illustrates VEPs to right and left hemifield stimulation. It is apparent that the full-field VEP is the sum of the two hemifield responses. In principle, it is possible to divide the visual fields into progressively smaller and smaller components and to record the VEP to each independently.

image

Fig. 32A.21 Normal pattern-shift visual evoked potentials to right and left hemifield stimulation of one eye. Same subject as in Fig. 35A.20. Partial-field responses are asymmetrical about the midline, with the largest positivities ipsilateral to the stimulated field.

The primary basis for interpretation of the VEP is measurement of the latency of the P100 component (the major positive wave having a nominal latency of approximately 100 msec in normal persons) after stimulation of each eye separately. After the absolute P100 latency for each eye is measured, the intereye P100 latency difference is determined. Comparison of these values with normative laboratory data will indicate the normal or abnormal nature of the response. Whenever possible, the clinical significance of the findings is interpreted in the context of other relevant clinical data.

Because optic nerve fibers from the temporal retina decussate at the chiasm, unilateral prolongation of P100 latency after full-field monocular stimulation implies an abnormality anterior to the optic chiasm on that side. Bilateral lesions either anterior or posterior to the optic chiasm or a chiasmal lesion will cause bilateral delay of the P100, demonstrated by separate stimulation of each eye. Unilateral hemispherical lesions do not alter the latency of the full-field P100 (because of the contribution from the intact hemifield) but do alter the scalp topography of the response.

Visual Evoked Potentials in Neurological Disease

Acute optic neuritis is accompanied by marked attenuation or loss of P100 wave amplitude following pattern-reversal stimulation of the affected eye. After the acute attack, the VEP shows some recovery, but P100 latency usually remains prolonged, even with restoration of functionally normal vision. In patients with a history of optic neuritis, P100 latency typically is prolonged, but waveform amplitude and morphology often are relatively well preserved (Fig. 32A.22). Factors contributing to changes in P100 probably include the combined effects of patchy conduction block, areas of variably slowed conduction, temporal dispersion of the afferent volley in the optic nerve, loss of some components of the normal VEP, and the appearance of previously masked components.

Pattern-shift VEPs are abnormal in nearly all patients with a definite history of optic neuritis. More important, the pattern-shift VEP is a sufficiently sensitive indicator of optic nerve demyelination that it can reveal asymptomatic and clinically undetectable lesions. Thus, 70% to 80% of patients with definite multiple sclerosis (MS) but no history of optic neuritis or visual symptoms have abnormal VEPs. Many patients with abnormal VEPs have normal neuro-ophthalmological examination results.

Pattern-reversal VEPs are highly sensitive to demyelinating lesions but are not specific for MS. Box 32A.1 provides a partial list of other causes of abnormal VEPs. VEPs may be helpful in distinguishing hysteria or malingering from blindness. A normal pattern-reversal VEP is strong evidence in favor of psychogenic illness. Rare cases have been reported, however, in which essentially normal VEPs were present in cortical blindness because of bilateral destruction of Brodmann area 17, with preservation of areas 18 and 19, or bilateral occipital infarcts with preservation of area 17 (Epstein, 2000).

Brainstem Auditory Evoked Potentials

Brainstem auditory evoked potentials (BAEPs) are signals generated in the auditory nerve and brainstem after an acoustic stimulus. A brief stimulus, usually a sharp click, is given to one ear through an earphone while hearing in the opposite ear is masked with white noise to prevent its stimulation by transcranially conducted sound. The normal BAEP waveform consists of a series of waves that occur within the first 10 msec after the stimulus. The BAEP is extremely low-voltage (only ≈ 0.5 mV), and approximately 1000 to 2000 recordings typically have to be averaged to resolve the BAEP waveform.

Normal Brainstem Auditory Evoked Potentials

Unlike VEPs, which are cortical responses, BAEPs are generated in or caudal to the mesencephalon. BAEPs are characteristically quite resistant to the effects of metabolic disturbances and pharmacological agents. Indeed, in the absence of anatomical lesions, BAEPs persist essentially unchanged into deep coma or in the presence of general anesthesia.

Fig. 32A.23 illustrates a normal BAEP recording. Summated neuronal activities in anatomical structures activated sequentially by the afferent sensory volley produce the components designated by roman numerals. Uncertainty exists regarding the relative contributions to the scalp-recorded BAEP of synaptic potentials occurring in nuclear structures and compound action potentials in fiber tracts. Although the following electroanatomical relationships may be somewhat oversimplified, they are useful for purposes of clinical localization. Wave I, corresponding to N1 of the electrocochleogram, represents the auditory nerve compound action potential, which arises in the distalmost portion of the nerve. The potential represented by wave II is generated mainly in the proximal eighth nerve but probably also includes a contribution from the intraaxial portion of the nerve and perhaps the cochlear nucleus as well. The wave III potential is generated in the lower pons in the region of the superior olive and trapezoid body. The generators of waves IV and V lie in the upper pons and the midbrain, as high as the inferior colliculus. Waves II and IV are inconsistently identified in some normal persons, so clinical interpretation of BAEPs is based primarily on latency measurements of waves I, III, and V. Despite decussation of brainstem auditory pathways at multiple levels, clinical experience indicates that unilateral BAEP abnormalities usually reflect lesions ipsilateral to the stimulated ear.

Brainstem Auditory Evoked Potentials in Neurological Disease

Auditory nerve pathology has several effects on the BAEP, related in part to the nature and size of the lesion. Findings range from prolongation of the I-III interpeak interval, to preservation of wave I with distortion or loss of later components, to loss of all BAEP components. Any of these abnormalities occur with acoustic neurinomas and other cerebellopontine angle tumors (Fig. 32A.24). In fact, the BAEP is perhaps the most sensitive screening test for acoustic neurinoma, detecting abnormalities in greater than 90% of the patients. The sensitivity of the test can be extended further by using a range of stimulus intensities and evaluating the effect on components of the BAEP (the latency intensity) (Fig. 32A.25).

In patients with focal brainstem lesions that impinge on the auditory pathways, the BAEP is abnormal and the type of abnormality reflects the lesion’s location and extent. For example, Fig. 32A.26 illustrates a BAEP recorded in a patient with a brainstem hemorrhage that involved the rostral two-thirds of the pons but spared the caudal third. Waves IV and V are absent, but waves I, II, and III are relatively normal. BAEPs are normal when brainstem lesions do not involve auditory pathways, as is often the case in the locked-in syndrome produced by ventral pontine infarction, or with Wallenberg lateral medullary syndrome. By contrast, pontine gliomas nearly always produce abnormal BAEPs.

Nearly 50% of patients with definite MS have abnormal BAEP results. Of greater clinical importance, approximately 20% of patients with possible or probable MS have abnormal BAEPs even in the absence of clinical signs or symptoms referable to the brainstem. In such cases, abnormalities usually consist of absence or decreased amplitude of BAEP component waves, most often of waves IV and V, or increased III-V interpeak latency. Occasionally, prolongation of the I-III interpeak interval occurs, probably reflecting involvement of the central myelin that covers the proximal and immediately intraaxial portion of the auditory nerve.

BAEPs may document brainstem involvement in patients with nonfocal neurological disease, especially those affecting myelin, such as metachromatic leukodystrophy and adrenoleukodystrophy. In such diseases, BAEP testing also may show electrophysiological abnormalities in clinically asymptomatic heterozygotes.

BAEPs are useful to assess hearing in young children and in patients otherwise unable to cooperate with standard audiological testing. A latency intensity study, discussed previously, permits characterization of the response threshold for wave V as well as the relationship between wave V latency and stimulus intensity. Such testing allows estimation of hearing threshold and may distinguish between conductive and sensorineural types of hearing impairment. Brainstem audiometry, however, is not really a hearing test per se but rather a measure of the brainstem’s sensitivity to auditory input. The BAEP is normal in the rare patient with deafness due to bilateral cortical lesions. On the other hand, patients with MS or a pontine glioma often have abnormal BAEP results but normal hearing (although their ability to localize sound accurately in space may diminish). One limitation to use of BAEPs to test hearing is that the brainstem must be intact, so that BAEP alterations reflect dysfunction in the peripheral hearing apparatus (Lueders and Terada, 2000).

Somatosensory Evoked Potentials

On electrical stimulation of a peripheral nerve, recordings from electrodes placed over the spine and scalp reveal a series of waves that reflect sequential activation of neural structures along the afferent somatosensory pathways. The dorsal column–lemniscal system is the major substrate of the somatosensory evoked potential (SEP), although other nonlemniscal systems such as the dorsal spinocerebellar tract have been shown to contribute to SEP generation. In clinical practice, SEPs usually are elicited by stimulation of the median nerve at the wrist, the common peroneal nerve at the knee, or the posterior tibial nerve at the ankle.

Normal Median Nerve Somatosensory Evoked Potentials

Fig. 32A.27 shows a normal SEP elicited by median nerve stimulation. The accompanying diagram indicates presumed generator sources for the various components of the SEP. An electrode at the Erb point ipsilateral to the stimulated arm registers the afferent volley as it passes through the brachial plexus. The Erb point potential serves as a reference point against which the latencies of subsequent components are measured. Electrodes over the midcervical dorsal spine record two potentials with independent but partially overlapping waveforms that reflect local activity in the spinal cord. The first of these, designated DCV (for dorsal column volley), is the afferent volley in the cuneate tract. The second, N13, reflects postsynaptic activity in the central gray matter of the cervical cord, generated by input from axon collaterals off the primary large-fiber afferents. A simultaneous potential of opposite polarity (P13) over the anterior neck accompanies the N13. Lesions that disrupt the central gray matter, such as syringomyelia, may selectively affect the N13/P13.

An electrode placed on the scalp away from the primary sensory area best records the SEP components generated in the brainstem. This electrode “sees” subcortical activity that is volume-conducted to the scalp surface. Generation of the P14 is in the cervicomedullary region, probably by the caudal medial lemniscus. Following the P14 is the N18, seen as a long-duration negative wave whose origin is uncertain but probably includes postsynaptic activity from multiple generators in the brainstem. Fig. 32A.28 illustrates preservation of the P14 but loss of the N18 and all later waves in a patient with an arteriovenous malformation of the right pons. This pattern probably is the electrophysiological equivalent of functional transection of the medial lemniscus at a pontine level.

The initial cortical response to the afferent sensory volley is designated N20 and is best recorded by a scalp electrode placed directly over the primary sensory cortex contralateral to the stimulated side. The N20 waveform is a composite made up of signals from multiple generators within or close to the primary cortical receiving area. This can be demonstrated by selective stimulation of cutaneous and muscle-spindle afferent fibers in the median nerve, which are known to project to adjacent but distinct cortical regions, or by observation of state-dependent changes in the N20 (Fig. 32A.29). Sleep, for example, attenuates small inflections that are often present on the waking N20 wave, a phenomenon probably caused by downward modulation of some generators contributing to N20 and to alterations in thalamic input to cortex during sleep.

Normal Posterior Tibial Nerve Somatosensory Evoked Potentials

Somatosensory evoked potentials to posterior tibial nerve stimulation are in many ways analogous to median nerve SEPs. When the posterior tibial nerve is stimulated, recordings from electrodes over the lumbar spine show two distinct potentials (Fig. 32A.30). One of these, PV, is produced by the afferent volley in the lumbar nerve roots and gracile tract, and the other, N22, is a summated synaptic potential generated in the gray matter of the lumbar cord. Because of its stability, fixed latency, and relatively high voltage, the clinical use of the N22 lumbar potential is as a reference point against which latencies of subsequent components are measured. Additionally, determination of the spinal level where N22 voltage is maximal provides an approximate indication of the position of the lumbar cord enlargement. This capability sometimes is clinically useful with suspected spinal cord tethering (Fig. 32A.31).

Subcortical activity from posterior tibial nerve stimulation consists of P31, seen on the EEG as a positive wave, followed by N34, seen as a long-duration negative wave (Fig. 32A.32). These components are analogous to the P14 and N18 occurring after median nerve stimulation and probably are generated by the afferent volley in the caudal medial lemniscus and by postsynaptic activity in the rostral brainstem, respectively.

The initial cortical response to posterior tibial nerve stimulation is a prominent positivity (P38) that is recorded from scalp electrodes placed at the vertex and central parasagittal regions, close to the cortical areas representing the leg (see Fig. 32A.32). This positive potential usually is maximal just lateral to the vertex, ipsilateral to the stimulated nerve. This apparently paradoxical localization of the P38 reflects the mesial location of the primary sensory area for the leg and foot within the interhemispherical fissure.

Somatosensory Evoked Potentials in Neurological Disease

Several different conditions that disturb conduction within the somatosensory system produce SEP abnormalities. These include focal lesions (tumors, strokes, cervical spondylosis) and diseases that affect the nervous system more diffusely (hereditary ataxias, subacute combined degeneration, vitamin E deficiency). Up to 90% of patients with definite MS have either upper- or lower-limb SEP abnormalities. Furthermore, an abnormal SEP occurs in 50% to 60% of patients with MS even in the absence of symptoms or signs referable to the large-fiber sensory system. Other diseases that affect myelin (e.g., Pelizaeus-Merzbacher disease, metachromatic leukodystrophy, adrenoleukodystrophy, adrenomyeloneuropathy) also produce SEP abnormalities. With adrenoleukodystrophy and adrenomyeloneuropathy, SEP abnormalities are demonstrable in heterozygotes.

Many lesions alter the SEP by producing a conduction delay or block. This results in prolonged interpeak latencies or in attenuation or even loss of one or more SEP components. Abnormally large SEPs involving exaggeration of cortical components occurring after N20 (from the median nerve) are characteristic of patients with progressive myoclonus epilepsy, some patients with photosensitive epilepsy, and children with late infantile ceroid lipofuscinosis (Fig. 32A.33) (Emerson and Pedley, 2003).

An important application of SEP is as an aid to prognosis in patients resuscitated following cardiopulmonary arrest. In that setting, bilateral absence of the N20 is accurately predictive of a poor neurological outcome (Wijdicks et al., 2006) (Fig. 32A.34).

Motor Evoked Potentials and Magnetic Coil Stimulation

It is possible to assess the functional integrity of the descending motor pathways using motor evoked potentials (MEPs). MEP studies generally entail stimulating the motor cortex and recording the evoked compound motor action potential over appropriate target muscles. The motor cortex may be stimulated either by directly passing a brief high-voltage electrical pulse through the scalp or by using a time-varying magnetic field to induce an electric current within the brain.

Whereas transcranial electrical stimulation is painful, magnetic coil stimulation is essentially painless. Therefore, use of transcranial electrical stimulation typically is restricted to intraoperative motor system monitoring in anesthetized patients, whereas magnetic stimulation generally is useful in studies of awake subjects and patients.

Direct electrical stimulation of the motor cortex produces a series of signals that are recordable from the pyramidal tract. The earliest wave, the D (direct) wave, results from direct activation of the pyramidal axons. Subsequent signals, the I (indirect) waves, probably reflect indirect transsynaptic activation of pyramidal cells. Transcranial electrical stimulation is capable of eliciting both D and I waves, but transcranial magnetic stimulation (TMS) generally elicits only I waves. For this reason, MEPs evoked by TMS occur at slightly greater latency and are less stable than those evoked by transcranial electrical stimulation.

It is possible to measure the central motor conduction time by subtracting the latency of the MEP elicited by cervical or lumbar stimulation from that obtained by TMS. For MEPs elicited by TMS, this interval actually encompasses the time required for activation of cortical interneurons, transsynaptic activation of pyramidal neurons, and conduction of the efferent volley through the pyramidal tract and depolarization of the spinal motor neuron.

MEPs can provide information about motor pathways that complements data about sensory pathways obtained from SEPs. MEPs frequently are abnormal in patients with myelopathies caused by cervical spondylosis (Fig. 32A.35), in whom they appear to be sensitive to early preclinical spinal cord compression. Often, delay occurs in patients with MS, and MEPs may be more sensitive to demyelinating lesions than VEPs or SEPs. In motor neuron disease, pyramidal tract conduction delays are demonstrable in patients without upper motor neuron signs.

MEPs also offer insights into the pathophysiology and evolution of disorders affecting the motor system. Patients with cerebral palsy may demonstrate enhanced MEPs in some muscle groups because of aberrant corticospinal projections. In Parkinson disease, MEP latencies are normal but may show increased amplitude, possibly because of spinal disinhibition or corticomotoneuronal hyperexcitability. MEPs have been used to study brain plasticity and to document cortical reorganization after spinal cord injury and amputation.

Transcranial magnetic coil stimulation provides a means of studying normal cortical physiology by transiently interrupting the regional function. Disruption of cortical processing produced by single or repetitive magnetic stimuli has been useful to study not only the function of the motor system but also cortical somatosensory, visual, and language processing function. Finally, proposed therapeutic uses for TMS include stroke, epilepsy, parkinsonism, dystonia, and depression (Rossini et al., 2010).

Intraoperative Monitoring

Electrophysiological monitoring is routinely used to assess the functional integrity of the brain and spinal cord during certain neurosurgical and orthopedic procedures. Such monitoring reduces neurological morbidity by detecting adverse effects at a time when prompt correction of the cause can avoid permanent neurological injury. In addition, monitoring may provide information about the mechanisms of postoperative neurological abnormalities and occasionally lead to changes in surgical approach or technique.

Monitoring can be done using EEG, sensory evoked potentials (usually BAEPs or SEPs), and MEPs. Which monitoring modality or combination of modalities is used depends on the type of surgery and the neural structures judged to be most at risk. Because neurological injury can occur suddenly and may be irreversible, the ideal monitoring method is one that detects impending, not permanent, damage. A certain percentage of false-positive results is therefore highly desirable. Experienced monitoring teams learn that small changes in recorded signals are common during surgery as a result of clinical and technical factors that have negligible effects on outcome. Other variables that affect electrical signals are the type of anesthesia, temperature, blood pressure, and neuromuscular blockade. Determining what constitutes a significant and reproducible change that warrants alerting the surgeon or anesthesiologist is a critical aspect of monitoring.

Patients occasionally experience a new postoperative neurological abnormality despite uneventful monitoring. A major neurological complication occurs only rarely, if at all, in a part of the nervous system monitored directly and accurately judged normal throughout the operation. More often, complications arise from involvement of structures not monitored directly (e.g., infarction of the ventral spinal cord when only dorsal column function was monitored using SEPs) or when a significant preexisting abnormality masks even moderate changes from baseline. Minor and usually transient neurological symptoms and signs (e.g., sensory dysesthesias, mild weakness, temporary neurogenic bladder) occur occasionally with stable intraoperative electrophysiological measures.

EEG monitoring is commonly used during carotid endarterectomy, embolization of cerebral arteriovenous malformations, and clipping or removal of some aneurysms. Monitoring is especially helpful in selecting patients for shunting during occlusion of the carotid artery (Fig. 32A.36). With monitoring, the rate of overall intraoperative major morbidity for endarterectomy should be reducible to 1%.

Monitoring auditory nerve function using BAEPs, with or without electrocochleography, is useful in any neurosurgical or neuro-otological procedure that risks injury to the eighth cranial nerve. Risk of hearing loss is minimized in patients with small, especially intracanalicular, acoustic neurinomas and other cerebellopontine angle tumors, as well as in patients undergoing microvascular decompression for hemifacial spasm or trigeminal neuralgia. Monitoring facial nerve function by recording compound nerve or muscle action potentials on direct stimulation of the intracranial portion of the seventh nerve has greatly reduced the incidence of permanent facial palsy after cerebellopontine angle surgery.

SEPs are in routine use to monitor baseline and spinal cord function during neurosurgical and orthopedic procedures. They provide useful and sensitive feedback information about the integrity of the dorsal column somatosensory system. MEPs are particularly sensitive to the effects of spinal cord ischemia, compression, distraction, and blunt trauma and are useful to monitor spinal cord function during surgical procedures (Fig. 32A.37). They complement SEPs in that SEPs may not detect surgical injuries limited to the lateral and anterior spinal cord (Mendiratta and Emerson, 2009).

References

American Clinical Neurophysiology Society. Guideline 3: minimum technical standards for EEG recording in suspected cerebral death. J Clin Neurophysiol. 2006;23:97-104.

American Clinical Neurophysiology Society. Guideline 9A, 9B, 9C, 9D. J Clin Neurophysiol. 2006;23:125-179.

Buzsaki G., Draguhn A. Neuronal oscillations in cortical networks. Science. 2004;30:1926-1929.

Cappell J., Schevon C., Emerson R.G. Magnetoencephalography in epilepsy: tailoring interpretation and making inferences. Curr Neurol Neurosci Rep. 2006;6:327-331.

Colon A.J., Ossenblok P., Nieuwenhuis L., et al. Use of routine MEG in the primary diagnostic process of epilepsy. J Clin Neurophysiol. 2009;26:326-332.

Comi G., Leocani L. Electrophysiological correlates of dementia. Suppl Clin Neurophysiol. 2000;53:331-336.

Drislane F.W., Lopez M.R., Blum A.S., et al. Detection and treatment of refractory status epilepticus in the intensive care unit. J Clin Neurophysiol. 2008;25:181-186.

Ebersole J.S. Sublobar localization of temporal neocortical epileptogenic foci by source modeling. Adv Neurol. 2000;84:353-363.

Emerson R.G., Pedley T.A. Somatosensory evoked potentials. In: Ebersole J.S., Pedley T.A. Current Practice of Clinical Electroencephalography. third ed. New York: Lippincott Williams & Williams; 2003:892-922.

Emerson R.G., Turner C.A., Pedley T.A., et al. Propagation patterns of temporal spikes. Electroencephalogr Clin Neurophysiol. 1995;94:338-348.

Epstein C.E. Visual evoked potentials. In: Levin K.H., Lueders H.O. Comprehensive Clinical Neurophysiology. Philadelphia: W. B. Saunders; 2000:507-524.

Friedman D., Claassen J., Hirsch L.J. Continuous electroencephalogram monitoring in the intensive care unit. Anesth Analg. 2009;109:506-523.

Lueders H.O., Terada K. Auditory evoked potentials. In: Levin K.H., Lueders H.O. Comprehensive Clinical Neurophysiology. Philadelphia: W. B. Saunders; 2000:525-541.

Mendiratta A., Emerson R.G. Neurophysiologic intraoperative monitoring of scoliosis surgery. J Clin Neurophysiol. 2009;26(2):62-69.

Pohlmann-Eden B., Hoch D.B., Chiappa K.H. Periodic lateralized epileptiform discharges—a critical review. J Clin Neurophysiol. 1996;13:519-530.

Rossini P.M., Rossini L., Ferreri F. Brain-behavior relations: transcranial magnetic stimulation: a review. IEEE Eng Med Biol Mag. 2010 Jan-Feb;29(1):84-95.

Scheuer M.L. Continuous EEG monitoring in the intensive care unit. Epilepsia. 2002;43:114-127.

Schevon C.A., Ng S., Cappell J., et al. Microphysiology of epileptiform activity in human neocortex. J Clin Neurophysiol. 2008;25:321-330.

Schevon C.A., Trevelyan A.J., Schroeder C.E., et al. Spatial characterization of interictal high frequency oscillations in epileptic neocortex. Brain. 2009;132:3047-3059.

Selvitelli M.F., Walker L.M., Schomer D.L., et al. The relationship of interictal epileptiform discharges to clinical epilepsy severity: a study of routine electroencephalograms and review of the literature. J Clin Neurophysiol. 2010;27:87-92.

Wijdicks E.F.M., Hijdra A., Young G.B., et al. Practice parameter: prediction of outcome in comatose survivors after cardiopulmonary resuscitation (an evidence-based review): report of the Quality Standards Subcommittee of the American Academy of Neurology. Neurology. 2006;67:203-210.