Visual Analysis of the EEG:

Chapter 2 Visual Analysis of the EEG:


Wakefulness, Drowsiness, and Sleep


An orderly approach to visual analysis of the EEG is important, especially for those who are beginning to hone their EEG reading skills. Although not all EEG records necessarily lend themselves to a single reading approach, it is useful to start the process of record interpretation with a preplanned analysis strategy that is based on the findings of a typical EEG, such as the EEG of a normal adult or child. The approach can be modified from this starting point when more atypical tracings are encountered.


There are two fundamental strategies for EEG analysis and a good approach to reading includes a combination of both strategies. The first strategy consists of making a mental list of the EEG elements that one would expect to see in the EEG given the patient’s age and sleep state and identifying and analyzing each of these elements in turn. The second strategy consists of examining the array of waveforms present on the page, identifying each, and classifying each as a normal element, an abnormal element, or an artifact. In summary, the first strategy consists of making a list of “what do I expect to see?” and attempting to find each element in the list of expected findings in the EEG record. The second step is to survey the landscape of the EEG and to attempt to identify each waveform that one sees. Of course, the two strategies are complementary and can be carried out in any order; combining the two strategies ensures that the reader will consider everything that does appear on the EEG page but will also notice what is absent from the EEG record but should be there.


The purpose of this chapter is to give a brief overview of a normal EEG tracing, including transitions from wakefulness to sleep and then back to wakefulness. Next, the elements involved in these transitions are examined more closely.



QUICK TOUR: Transition of the EEG from Wakefulness to Drowsiness, Sleep, and Arousal from Sleep



Wakefulness


Figure 2-1 shows the typical appearance of the EEG in a patient who is awake with eyes closed. The basic setup of the EEG page is summarized in the figure’s caption. The most prominent rhythm on the page is denoted by the solid black arrows and is called the posterior rhythm. Note that this waveform is highly rhythmic and sinusoidal (i.e., shaped like a sine wave). It is of highest voltage in the posterior or occipital channels (black arrows) and becomes much less prominent in the anterior channels. The posterior rhythm is best seen when the patient is awake with eyes closed.


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Figure 2-1 In this normal, awake electroencephalogram, the posterior rhythm is the most prominent waveform on the page. Each horizontal wave is generated by recording from the pair of electrodes denoted in the left margin. Each vertical division represents one second. Odd-numbered electrodes are placed on the left side of the scalp and even-numbered electrodes are on the right; those with z-subscripts (for “zero”) are in the midline. The initial letters of the electrode names represent different brain regions: (Fp) frontopolar, (F) frontal, (T) temporal, (P) parietal, (C) central, and (O) occipital.


Each of the four major chains of electrodes can be examined from the anterior to posterior direction, as indicated by the four vertical arrows on the left side of the page. The posterior rhythm, a well-formed sinusoidal rhythm, becomes more prominent as each chain is scanned from front to back and is best defined in the channels that include the occipital electrodes, O1 and O2 (solid arrows). In this patient, as in most, the posterior rhythm is of slightly higher voltage over the right occipital area (bottom two solid arrows) compared with the left (top two solid arrows).


The normal awake EEG tracing often manifests two types of voltage and frequency transitions seen between anterior and posterior head regions, termed the anteroposterior gradient of the EEG: going from front to back, the amplitude of waves generally increases and the frequency of waves decreases, paralleling the shading of the arrows. Note that anteriorly in the brain (the top channels of each set of four), voltages are low, and more fast activity is seen. Posteriorly (bottom channels of each set of four, indicated by solid arrows), voltages are higher and waves are slower. In this example, posterior waves are higher because of the presence of the posterior rhythm, approximately 10 Hz in this sample.


Table 2-1 Summary of Transition from Wakefulness to Sleep in the Routine EEG


















Awake Eyes closed: posterior rhythm present
Eyes open: low-voltage, nondescript pattern seen posteriorly, posterior rhythm absent
Drowsy Mild slowing of the posterior rhythm
Slow roving lateral eye movements appear
Disappearance of posterior rhythm in the occipital areas, replaced by low-voltage theta activity
Diffuse increase in theta range activity, particularly at the vertex
Stage I Sleep Vertex waves of sleep
Stage II Sleep Sleep spindles
K-complexes
Arousal High-voltage hypersynchronous (rhythmic) slowing in some
Return of posterior rhythm and typical waking patterns

Another typical feature of wakefulness is the presence of an anteroposterior gradient of voltage and frequency. Anteriorly, waves are generally of lower voltage and higher frequency. Posteriorly, waves are of higher voltage and lower frequency. Comparing the first line and the fourth line of this figure bears out these relationships. The top channel is relatively flat and has a lower voltage, higher frequency (faster) waveform. The fourth line has a higher voltage, lower frequency (slower) waveform. This is what is meant by the anteroposterior gradient: lower voltage, faster activity anteriorly and higher voltage, slower activity posteriorly. Additional examples of the anteroposterior gradient are given later in this chapter.


As seen in Figure 2-2, the posterior rhythm suppresses and often disappears completely with eye opening and fixation of gaze. When the eyes are closed, the rhythm returns. In summary, the posterior rhythm is a rhythm of wakefulness that is present when the eyes are closed. During wakefulness with the eyes open, the EEG shows a lower voltage, nondescript pattern in the occipital region, as is seen in Figure 2-2, between eye opening and closure.


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Figure 2-2 EEG of the same patient shown in Figure 2-1, awake, demonstrating the effect of spontaneous eye opening and closure on the posterior rhythm. The posterior rhythm suppresses dramatically with eye opening. Note also that the posterior rhythm actually begins to return 1.5 seconds before the eyes close, suggesting a period of relative visual inattention. The exact moment of eye closure is marked by the eye-closure artifact seen in the frontal leads (hollow arrow).



Drowsiness


One of the first EEG changes seen in drowsiness is a subtle slowing of the posterior rhythm. In Figure 2-3, the posterior rhythm is seen to slow over the course of the page from 10 Hz in the first second of the page to 8 Hz in the seventh second, an early indication of drowsiness in this patient. (This brief period of posterior rhythm slowing is not always identifiable; sometimes the posterior rhythm simply “drops out” without an observable period of slowing.) Another, more subtle finding is that of slow roving lateral eye movements of drowsiness, which are indicated by the shaded rectangles (see figure caption for further explanation). Such slow roving eye movements are commonly detected by the EEG but are not actually visible on casual observation of the patient because they are hidden by the patient’s eyelids. Although the appearance of slow roving eye movements in the EEG technically represents an artifact (because they are not actual brain waves), they still provide useful information to the reader regarding onset of drowsiness. The EEG appearance of slow roving eye movements is discussed in more detail in Chapter 6.



The next EEG page (Figure 2-4) in this example shows two additional important changes that mark advancing drowsiness: first, the posterior rhythm has dropped out nearly completely. Second, there is an increase in theta-range (slow) activity throughout the tracing. Most characteristically, theta activity has appeared at the vertex, particularly in the midline central (Cz) electrode, although it may be seen in other locations as well.



On the following EEG page (Figure 2-5), the first true vertex waves of sleep are seen. These midline sharp waves mark the onset of Stage Ia sleep and may occur in dramatic bursts. After they are established, assuming no subsequent arousals, vertex-wave bursts continue in a repetitive fashion through Stage II sleep.




Stage II Sleep


The onset of Stage II sleep is defined by the appearance of sleep spindles. The sleep spindles that occur early in Stage II sleep are usually of maximum voltage in the central electrodes (C3 and C4) and at the central vertex (Cz), as is seen in this example. They consist of lower voltage, regular 14-Hz waves lasting from 1 to a few seconds. In deeper Stage II sleep, the field of sleep spindles may include both the frontal and central areas. Figure 2-6 shows the appearance of the first, bicentral sleep spindles in this patient, intermixed with vertex waves. By the next page, the sleep spindles become more sharply defined (see Figure 2-7) and continue to be intermixed with repetitive vertex waves. The combination of repetitive vertex waves and spindles marks well-established Stage II sleep. An example of the fields of spindles and vertex waves is shown in Figures 2-8 and 2-9 and schematically in Figures 2-10 and 2-11.







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Figure 2-11 Classically, spindles are centered over the central areas, particularly the C3 and C4 electrodes. In many examples such as the EEG traces shown in Figures 2-8 and 2-9, spindles are also seen to spread frontally (F3 and F4 electrodes). The field of spindles only occasionally spreads laterally to the midtemporal electrodes where they should be of lower voltage compared with the central electrodes or not seen at all.


Bursts of high voltage waves occurring across nearly all channels may be seen sporadically in sleep. These discharges, called K-complexes, can be dramatic and are sometimes mistaken for spike-wave discharges, an epileptiform abnormality. K-complexes may be set off by stimuli (such as a noise) in the environment of the sleeping patient that cause a mild subarousal (an increase in the level of arousal or a lightening of the sleep state that is not strong enough to awaken the patient fully). In fact, EEG technologists often demonstrate K-complexes in the EEG by tapping a pencil on the EEG instrument while the patient is in light sleep. The tapping sound may elicit a subarovsal and an associated K-complex. Most K-complexes, however, appear to occur spontaneously without an obvious trigger. The field of a K-complex differs from that of sleep spindles or sleep vertex waves and is shown in Figure 2-12. K-complexes may or may not be intermixed with a sleep spindle, as occurs in the example shown in Figure 2-13.


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Figure 2-12 The field of a K-complex is diffuse and may include all brain areas. This helps differentiate it from simple spindles, which are maximum frontocentrally and concentrated in the midline and parasagittal areas as described in Figure 2-11. A sleep waveform of an intensity just as strong in the temporal areas as in the midline is not likely to represent a sleep spindle or vertex wave but may represent a K-complex.




Arousal from Sleep


Arousal from sleep may occur uneventfully with a simple return of the posterior rhythm and other patterns of wakefulness described earlier. At other times, arousal from sleep may be marked by a dramatic run of diffuse, high-voltage rhythmic waves called an arousal hypersynchrony. Figure 2-14 shows a fairly simple arousal with a brief increase in rhythmic slowing followed by high-voltage motion artifact generated from the patient stirring in bed. This is followed by a return of the posterior rhythm.



The sequence of wakefulness to drowsiness to sleep is shown in a second patient in Figures 2-15 through 2-20, with fewer figure markings to help the render practice identification of normal sleep waveforms.




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Mar 12, 2017 | Posted by in NEUROLOGY | Comments Off on Visual Analysis of the EEG:

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