Neuropsychobiology

Biological Psychiatry. Editor: J. Mendlewicz (Brussels) / Original Paper

Self-Organizing Neural Network Analyses of Cardiac Data in Depression

Gaetz M.a · Iverson G.L.a,b · Rzempoluck E.J.c · Remick R.d · McLean P.e · Linden W.e

Author affiliations

aHeartLink Canada, bDepartment of Psychiatry, University of British Columbia, cSimon Fraser University, dSt. Paul’s Hospital and eDepartment of Psychology, University of British Columbia, Vancouver, Canada

Keywords: Neural network, self-organizing mapDepression, cardiac data

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Neuropsychobiology 2004;49:30–37
https://doi.org/10.1159/000075336

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Article / Publication Details

First-Page Preview
Abstract of Biological Psychiatry. Editor: J. Mendlewicz (Brussels) / Original Paper

Published online: January 22, 2004
Issue release date: January 2004

Number of Print Pages: 8
Number of Figures: 3
Number of Tables: 1

ISSN: 0302-282X (Print)
eISSN: 1423-0224 (Online)

For additional information: https://www.karger.com/NPS

Abstract

Objective: To determine if an unsupervised self-organizing neural network could create a clinically meaningful distinction of ‘depression’ versus ‘no depression’ based on cardiac time-series data. Design: A self-organizing map (SOM) was used to separate the time-series of 84 subjects into groups based on characteristics of the data alone. Materials and Methods: Analyses included natural log transformations and two types of filtering to enhance characteristics of the data as well as classifications of unprocessed data. A Pearson χ2 analysis was performed to determine if the SOM groups bore any relation to the binary clinical groups. Results: Overall correct SOM classifications ranged from 54 to 70.2% with two classifications being clinically meaningful. Conclusions: SOM classifications of cardiac time-series data with enhanced ultradian variations and cardiac data recorded around the interval when a person was in bed were useful in differentiating clinically meaningful subgroups with and without depression.

© 2004 S. Karger AG, Basel



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Article / Publication Details

First-Page Preview
Abstract of Biological Psychiatry. Editor: J. Mendlewicz (Brussels) / Original Paper

Published online: January 22, 2004
Issue release date: January 2004

Number of Print Pages: 8
Number of Figures: 3
Number of Tables: 1

ISSN: 0302-282X (Print)
eISSN: 1423-0224 (Online)

For additional information: https://www.karger.com/NPS

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2004, Vol.49, No. 1

January 2004

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