Seizure (Ictal)—EEG Characteristics in Subgroups of Depressive Disorder in Patients Receiving Electroconvulsive Therapy (ECT)—A Preliminary Study and Multivariate Approach

Objectives. Examine frequency distributions of ictal EEG after ECT stimulation in diagnostic subgroups of depression. Methods. EEG registration was consecutively monitored in 33 patients after ECT stimulation. Patients were diagnosed according to DSM IV and subdivided into: (1) major depressive diso...

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Main Authors: Björn Wahlund, Paolo Piazza, Dietrich von Rosen, Benny Liberg, Hans Liljenström
Format: Article
Language:English
Published: Hindawi Limited 2009-01-01
Series:Computational Intelligence and Neuroscience
Online Access:http://dx.doi.org/10.1155/2009/965209
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spelling doaj-f98f7576aec34dfb806f2533158c05e42020-11-24T21:06:08ZengHindawi LimitedComputational Intelligence and Neuroscience1687-52651687-52732009-01-01200910.1155/2009/965209965209Seizure (Ictal)—EEG Characteristics in Subgroups of Depressive Disorder in Patients Receiving Electroconvulsive Therapy (ECT)—A Preliminary Study and Multivariate ApproachBjörn Wahlund0Paolo Piazza1Dietrich von Rosen2Benny Liberg3Hans Liljenström4Department of Clinical Neuroscience, Division of Psychiatry, Karolinska Institutet, Karolinska University Hospital, Huddinge, 141 86 Stockholm, SwedenDepartment of Energy and Engineering, Swedish University of Agricultural Sciences, 750 07 Uppsala, SwedenDepartment of Energy and Engineering, Swedish University of Agricultural Sciences, 750 07 Uppsala, SwedenDepartment of Clinical Neuroscience, Division of Psychiatry, Karolinska Institutet, Karolinska University Hospital, Huddinge, 141 86 Stockholm, SwedenDepartment of Energy and Engineering, Swedish University of Agricultural Sciences, 750 07 Uppsala, SwedenObjectives. Examine frequency distributions of ictal EEG after ECT stimulation in diagnostic subgroups of depression. Methods. EEG registration was consecutively monitored in 33 patients after ECT stimulation. Patients were diagnosed according to DSM IV and subdivided into: (1) major depressive disorder with psychotic features (n=7), (2) unipolar depression (n=20), and (3) bipolar depression (n=6). Results. Results indicate that the diagnostically subgroups differ in their ictal EEG frequency spectrumml: (1) psychotic depression has a high occurrence of delta and theta waves, (2) unipolar depression has high occurrence of delta, theta and gamma waves, and (3) bipolar depression has a high occurrence of gamma waves. A linear discriminant function separated the three clinical groups with an accuracy of 94%. Conclusion. Psychotic depressed patients differ from bipolar depression in their frequency based on probability distribution of ictal EEG. Psychotic depressed patients show more prominent slowing of EEG than nonpsychotic depressed patients. Thus the EEG results may be supportive in classifying subgroups of depression already at the start of the ECT treatment.http://dx.doi.org/10.1155/2009/965209
collection DOAJ
language English
format Article
sources DOAJ
author Björn Wahlund
Paolo Piazza
Dietrich von Rosen
Benny Liberg
Hans Liljenström
spellingShingle Björn Wahlund
Paolo Piazza
Dietrich von Rosen
Benny Liberg
Hans Liljenström
Seizure (Ictal)—EEG Characteristics in Subgroups of Depressive Disorder in Patients Receiving Electroconvulsive Therapy (ECT)—A Preliminary Study and Multivariate Approach
Computational Intelligence and Neuroscience
author_facet Björn Wahlund
Paolo Piazza
Dietrich von Rosen
Benny Liberg
Hans Liljenström
author_sort Björn Wahlund
title Seizure (Ictal)—EEG Characteristics in Subgroups of Depressive Disorder in Patients Receiving Electroconvulsive Therapy (ECT)—A Preliminary Study and Multivariate Approach
title_short Seizure (Ictal)—EEG Characteristics in Subgroups of Depressive Disorder in Patients Receiving Electroconvulsive Therapy (ECT)—A Preliminary Study and Multivariate Approach
title_full Seizure (Ictal)—EEG Characteristics in Subgroups of Depressive Disorder in Patients Receiving Electroconvulsive Therapy (ECT)—A Preliminary Study and Multivariate Approach
title_fullStr Seizure (Ictal)—EEG Characteristics in Subgroups of Depressive Disorder in Patients Receiving Electroconvulsive Therapy (ECT)—A Preliminary Study and Multivariate Approach
title_full_unstemmed Seizure (Ictal)—EEG Characteristics in Subgroups of Depressive Disorder in Patients Receiving Electroconvulsive Therapy (ECT)—A Preliminary Study and Multivariate Approach
title_sort seizure (ictal)—eeg characteristics in subgroups of depressive disorder in patients receiving electroconvulsive therapy (ect)—a preliminary study and multivariate approach
publisher Hindawi Limited
series Computational Intelligence and Neuroscience
issn 1687-5265
1687-5273
publishDate 2009-01-01
description Objectives. Examine frequency distributions of ictal EEG after ECT stimulation in diagnostic subgroups of depression. Methods. EEG registration was consecutively monitored in 33 patients after ECT stimulation. Patients were diagnosed according to DSM IV and subdivided into: (1) major depressive disorder with psychotic features (n=7), (2) unipolar depression (n=20), and (3) bipolar depression (n=6). Results. Results indicate that the diagnostically subgroups differ in their ictal EEG frequency spectrumml: (1) psychotic depression has a high occurrence of delta and theta waves, (2) unipolar depression has high occurrence of delta, theta and gamma waves, and (3) bipolar depression has a high occurrence of gamma waves. A linear discriminant function separated the three clinical groups with an accuracy of 94%. Conclusion. Psychotic depressed patients differ from bipolar depression in their frequency based on probability distribution of ictal EEG. Psychotic depressed patients show more prominent slowing of EEG than nonpsychotic depressed patients. Thus the EEG results may be supportive in classifying subgroups of depression already at the start of the ECT treatment.
url http://dx.doi.org/10.1155/2009/965209
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