On the complexity of brain disorders : a symptom-based approach

Ahmed A. Moustafa, Joseph Phillips, Szabolcs Keri, Blazej Misiak, Dorota Frydecka

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

Mounting evidence shows that brain disorders involve multiple and different neural dysfunctions, including regional brain damage, change to cell structure, chemical imbalance, and/or connectivity loss among different brain regions. Understanding the complexity of brain disorders can help us map these neural dysfunctions to different symptom clusters as well as understand subcategories of different brain disorders. Here, we discuss data on the mapping of symptom clusters to different neural dysfunctions using examples from brain disorders such as major depressive disorder, Parkinson’s disease, schizophrenia, PTSD and Alzheimer’s disease. In addition, we discuss data on the similarities of symptoms in different disorders. Importantly, computational modeling work may be able to shed light on plausible links between various symptoms and neural damage in brain disorders.
Original languageEnglish
Article number16
Number of pages11
JournalFrontiers in Computational Neuroscience
Volume10
DOIs
Publication statusPublished - 2016

Open Access - Access Right Statement

Copyright © 2016 Moustafa, Phillips, Kéri, Misiak and Frydecka. This is an open- access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) (CC BY). The use, distribution and reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Keywords

  • Parkinson's disease
  • brain
  • neurotransmitters
  • post, traumatic stress disorder
  • schizophrenia

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