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Manifestation of Hippocampal Interictal Discharges on Clinical Scalp EEG Recordings
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Purpose:
Epileptiform activity limited to deep sources such as the hippocampus currently lacks reliable scalp correlates. Recent studies, however, have found that a subset of hippocampal interictal discharges may be associated with visible scalp signals, suggesting that some types of hippocampal activity may be monitored noninvasively. The purpose of this study is to characterize the relationship between these scalp waveforms and the underlying intracranial activity.
Methods:
Paired intracranial and scalp EEG recordings obtained from 16 patients were used to identify hippocampal interictal discharges. Discharges were grouped by waveform shape, and spike-triggered averages of the intracranial and scalp signals were calculated for each group. Cross-correlation of intracranial and scalp spike-triggered averages was used to determine their temporal relationship, and topographic maps of the scalp were generated for each group.
Results:
Cross-correlation of intracranial and scalp correlates resulted in two classes of scalp waveforms—those with and without time delays from the associated hippocampal discharges. Scalp signals with no delay showed topographies with a broad field with higher amplitudes on the side ipsilateral to the discharges and a left–right flip in polarity—observations consistent with the volume conduction of a single unilateral deep source. In contrast, scalp correlates with time lags showed rotational dynamics, suggesting synaptic propagation mechanisms.
Conclusions:
The temporal relationship between the intracranial and scalp signals suggests that both volume conduction and synaptic propagation contribute to these scalp manifestations. Furthermore, the topographic evolution of these scalp waveforms may be used to distinguish spikes that are limited to the hippocampus from those that travel to or engage other brain areas.
Ovid Technologies (Wolters Kluwer Health)
Title: Manifestation of Hippocampal Interictal Discharges on Clinical Scalp EEG Recordings
Description:
Purpose:
Epileptiform activity limited to deep sources such as the hippocampus currently lacks reliable scalp correlates.
Recent studies, however, have found that a subset of hippocampal interictal discharges may be associated with visible scalp signals, suggesting that some types of hippocampal activity may be monitored noninvasively.
The purpose of this study is to characterize the relationship between these scalp waveforms and the underlying intracranial activity.
Methods:
Paired intracranial and scalp EEG recordings obtained from 16 patients were used to identify hippocampal interictal discharges.
Discharges were grouped by waveform shape, and spike-triggered averages of the intracranial and scalp signals were calculated for each group.
Cross-correlation of intracranial and scalp spike-triggered averages was used to determine their temporal relationship, and topographic maps of the scalp were generated for each group.
Results:
Cross-correlation of intracranial and scalp correlates resulted in two classes of scalp waveforms—those with and without time delays from the associated hippocampal discharges.
Scalp signals with no delay showed topographies with a broad field with higher amplitudes on the side ipsilateral to the discharges and a left–right flip in polarity—observations consistent with the volume conduction of a single unilateral deep source.
In contrast, scalp correlates with time lags showed rotational dynamics, suggesting synaptic propagation mechanisms.
Conclusions:
The temporal relationship between the intracranial and scalp signals suggests that both volume conduction and synaptic propagation contribute to these scalp manifestations.
Furthermore, the topographic evolution of these scalp waveforms may be used to distinguish spikes that are limited to the hippocampus from those that travel to or engage other brain areas.
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