Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Towards Biophysical Markers of Depression Vulnerability

View ORCID ProfileD.A. Pinotsis, S. Fitzgerald, C. See, A. Sementsova, View ORCID ProfileA. S. Widge
doi: https://doi.org/10.1101/2021.12.08.471836
D.A. Pinotsis
1Centre for Mathematical Neuroscience and Psychology and Department of Psychology, City —University of London, EC1V 0HB, UK
2The Picower Institute for Learning & Memory and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for D.A. Pinotsis
  • For correspondence: pinotsis@mit.edu
S. Fitzgerald
1Centre for Mathematical Neuroscience and Psychology and Department of Psychology, City —University of London, EC1V 0HB, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
C. See
3Data Science MSc, Department of Computer Science, City — University of London, EC1V 0HB, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
A. Sementsova
3Data Science MSc, Department of Computer Science, City — University of London, EC1V 0HB, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
A. S. Widge
4Department of Psychiatry and Behavioral Sciences, University of Minnesota, MN 55455, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for A. S. Widge
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

A major difficulty with treating psychiatric disorders is their heterogeneity: different neural causes can lead to the same phenotype. To address this, we propose describing the underlying pathophysiology in terms of interpretable, biophysical parameters of a neural model derived from the electroencephalogram. We analyzed data from a small patient cohort of patients with depression and controls. We constructed biophysical models that describe neural dynamics in a cortical network activated during a task that is used to assess depression state. We show that biophysical model parameters are biomarkers, that is, variables that allow subtyping of depression at a biological level. They yield a low dimensional, interpretable feature space that allowed description of differences between individual patients with depressive symptoms. They capture internal heterogeneity/variance of depression state and achieve significantly better classification than commonly used EEG features. Our work is a proof of concept that a combination of biophysical models and machine learning may outperform earlier approaches based on classical statistics and raw brain data.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted December 10, 2021.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Towards Biophysical Markers of Depression Vulnerability
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Towards Biophysical Markers of Depression Vulnerability
D.A. Pinotsis, S. Fitzgerald, C. See, A. Sementsova, A. S. Widge
bioRxiv 2021.12.08.471836; doi: https://doi.org/10.1101/2021.12.08.471836
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Towards Biophysical Markers of Depression Vulnerability
D.A. Pinotsis, S. Fitzgerald, C. See, A. Sementsova, A. S. Widge
bioRxiv 2021.12.08.471836; doi: https://doi.org/10.1101/2021.12.08.471836

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Neuroscience
Subject Areas
All Articles
  • Animal Behavior and Cognition (3514)
  • Biochemistry (7371)
  • Bioengineering (5347)
  • Bioinformatics (20329)
  • Biophysics (10048)
  • Cancer Biology (7782)
  • Cell Biology (11353)
  • Clinical Trials (138)
  • Developmental Biology (6454)
  • Ecology (9985)
  • Epidemiology (2065)
  • Evolutionary Biology (13361)
  • Genetics (9377)
  • Genomics (12616)
  • Immunology (7729)
  • Microbiology (19119)
  • Molecular Biology (7478)
  • Neuroscience (41163)
  • Paleontology (301)
  • Pathology (1235)
  • Pharmacology and Toxicology (2142)
  • Physiology (3183)
  • Plant Biology (6885)
  • Scientific Communication and Education (1276)
  • Synthetic Biology (1900)
  • Systems Biology (5329)
  • Zoology (1091)