Is depression a global brain disorder with topographic dynamic reorganization?

Major depressive disorder (MDD) is characterized by a multitude of psychopathological symptoms including affective, cognitive, perceptual, sensorimotor, and social. The neuronal mechanisms underlying such co-occurrence of psychopathological symptoms remain yet unclear. Rather than linking and locali...

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Hauptverfasser: Northoff, Georg (VerfasserIn) , Hirjak, Dusan (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 05 July 2024
In: Translational Psychiatry
Year: 2024, Jahrgang: 14, Pages: 1-12
ISSN:2158-3188
DOI:10.1038/s41398-024-02995-9
Online-Zugang:Verlag, kostenfrei, Volltext: https://doi.org/10.1038/s41398-024-02995-9
Verlag, kostenfrei, Volltext: https://www.nature.com/articles/s41398-024-02995-9
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Verfasserangaben:Georg Northoff and Dusan Hirjak

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520 |a Major depressive disorder (MDD) is characterized by a multitude of psychopathological symptoms including affective, cognitive, perceptual, sensorimotor, and social. The neuronal mechanisms underlying such co-occurrence of psychopathological symptoms remain yet unclear. Rather than linking and localizing single psychopathological symptoms to specific regions or networks, this perspective proposes a more global and dynamic topographic approach. We first review recent findings on global brain activity changes during both rest and task states in MDD showing topographic reorganization with a shift from unimodal to transmodal regions. Next, we single out two candidate mechanisms that may underlie and mediate such abnormal uni-/transmodal topography, namely dynamic shifts from shorter to longer timescales and abnormalities in the excitation-inhibition balance. Finally, we show how such topographic shift from unimodal to transmodal regions relates to the various psychopathological symptoms in MDD including their co-occurrence. This amounts to what we describe as ‘Topographic dynamic reorganization’ which extends our earlier ‘Resting state hypothesis of depression’ and complements other models of MDD. 
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