Alterations of Functional Connectivity Dynamics in Affective and Psychotic Disorders.
Journal
Biological psychiatry. Cognitive neuroscience and neuroimaging
ISSN: 2451-9030
Titre abrégé: Biol Psychiatry Cogn Neurosci Neuroimaging
Pays: United States
ID NLM: 101671285
Informations de publication
Date de publication:
08 Mar 2024
08 Mar 2024
Historique:
received:
30
11
2023
revised:
23
01
2024
accepted:
15
02
2024
medline:
11
3
2024
pubmed:
11
3
2024
entrez:
10
3
2024
Statut:
aheadofprint
Résumé
Psychosis and depression patients exhibit widespread neurobiological abnormalities. The analysis of dynamic functional connectivity (dFC), allows for the detection of changes in complex brain activity patterns, providing insights into common and unique processes underlying these disorders. In the present study, we report the analysis of dFC in a large patient sample including 127 clinical high-risk patients (CHR), 142 recent-onset psychosis (ROP) patients, 134 recent-onset depression (ROD) patients, and 256 healthy controls (HC). A sliding window-based technique was used to calculate the time-dependent FC in resting-state MRI data, followed by clustering to reveal recurrent FC states in each diagnostic group. We identified five unique FC states, which could be identified in all groups with high consistency (r Our findings indicate diagnosis-specific alterations of dFC and underline the potential of dynamic analysis to characterize disorders such as depression, psychosis and clinical risk states.
Sections du résumé
BACKGROUND
BACKGROUND
Psychosis and depression patients exhibit widespread neurobiological abnormalities. The analysis of dynamic functional connectivity (dFC), allows for the detection of changes in complex brain activity patterns, providing insights into common and unique processes underlying these disorders.
METHODS
METHODS
In the present study, we report the analysis of dFC in a large patient sample including 127 clinical high-risk patients (CHR), 142 recent-onset psychosis (ROP) patients, 134 recent-onset depression (ROD) patients, and 256 healthy controls (HC). A sliding window-based technique was used to calculate the time-dependent FC in resting-state MRI data, followed by clustering to reveal recurrent FC states in each diagnostic group.
RESULTS
RESULTS
We identified five unique FC states, which could be identified in all groups with high consistency (r
CONCLUSIONS
CONCLUSIONS
Our findings indicate diagnosis-specific alterations of dFC and underline the potential of dynamic analysis to characterize disorders such as depression, psychosis and clinical risk states.
Identifiants
pubmed: 38461964
pii: S2451-9022(24)00065-X
doi: 10.1016/j.bpsc.2024.02.013
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Investigateurs
Linda Betz
(L)
Anne Erkens
(A)
Eva Gussmann
(E)
Shalaila Haas
(S)
Alkomiet Hasan
(A)
Claudius Hoff
(C)
Ifrah Khanyaree
(I)
Aylin Melo
(A)
Susanna Muckenhuber-Sternbauer
(S)
Janis Köhler
(J)
Ömer Öztürk
(Ö)
Nora Penzel
(N)
David Popovic
(D)
Adrian Rangnick
(A)
Sebastian von Saldern
(S)
Rachele Sanfelici
(R)
Moritz Spangemacher
(M)
Ana Tupac
(A)
Maria Fernanda Urquijo
(MF)
Johanna Weiske
(J)
Antonia Wosgien
(A)
Karsten Blume
(K)
Dominika Gebhardt
(D)
Nathalie Kaiser
(N)
Ruth Milz
(R)
Alexandra Nikolaides
(A)
Mauro Seves
(M)
Silke Vent
(S)
Martina Wassen
(M)
Christina Andreou
(C)
Laura Egloff
(L)
Fabienne Harrisberger
(F)
Claudia Lenz
(C)
Letizia Leanza
(L)
Amatya Mackintosh
(A)
Renata Smieskova
(R)
Erich Studerus
(E)
Anna Walter
(A)
Sonja Widmayer
(S)
Chris Day
(C)
Mariam Iqbal
(M)
Mirabel Pelton
(M)
Pavan Mallikarjun
(P)
Alexandra Stainton
(A)
Ashleigh Lin
(A)
Alexander Denissoff
(A)
Anu Ellilä
(A)
Tiina From
(T)
Markus Heinimaa
(M)
Tuula Ilonen
(T)
Päivi Jalo
(P)
Heikki Laurikainen
(H)
Antti Luutonen
(A)
Akseli Mäkela
(A)
Janina Paju
(J)
Henri Pesonen
(H)
Reetta-Liina Säilä
(RL)
Anna Toivonen
(A)
Otto Turtonen
(O)
Ana Beatriz Solana
(AB)
Manuela Abraham
(M)
Nicolas Hehn
(N)
Timo Schirmer
(T)
Carlo Altamura
(C)
Marika Belleri
(M)
Francesca Bottinelli
(F)
Adele Ferro
(A)
Marta Re
(M)
Emiliano Monzani
(E)
Maurizio Sberna
(M)
Armando D'Agostino
(A)
Lorenzo Del Fabro
(L)
Giampaolo Perna
(G)
Maria Nobile
(M)
Alessandra Alciati
(A)
Matteo Balestrieri
(M)
Carolina Bonivento
(C)
Giuseppe Cabras
(G)
Franco Fabbro
(F)
Marco Garzitto
(M)
Sara Piccin
(S)
Informations de copyright
Copyright © 2024. Published by Elsevier Inc.