TY - JOUR
T1 - Effective Connectivity of the Hippocampus Can Differentiate Patients with Schizophrenia from Healthy Controls
T2 - A Spectral DCM Approach
AU - Uscătescu, Lavinia Carmen
AU - Kronbichler, Lisa
AU - Stelzig-Schöler, Renate
AU - Pearce, Brandy-Gale
AU - Said-Yürekli, Sarah
AU - Reich, Luise Antonia
AU - Weber, Stefanie
AU - Aichhorn, Wolfgang
AU - Kronbichler, Martin
N1 - Publisher Copyright:
© 2021, The Author(s).
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/11
Y1 - 2021/11
N2 - We applied spectral dynamic causal modelling (Friston et al. in Neuroimage 94:396–407. https://doi.org/10.1016/j.neuroimage.2013.12.009, 2014) to analyze the effective connectivity differences between the nodes of three resting state networks (i.e. default mode network, salience network and dorsal attention network) in a dataset of 31 male healthy controls (HC) and 25 male patients with a diagnosis of schizophrenia (SZ). Patients showed increased directed connectivity from the left hippocampus (LHC) to the: dorsal anterior cingulate cortex (DACC), right anterior insula (RAI), left frontal eye fields and the bilateral inferior parietal sulcus (LIPS & RIPS), as well as increased connectivity from the right hippocampus (RHC) to the: bilateral anterior insula (LAI & RAI), right frontal eye fields and RIPS. In SZ, negative symptoms predicted the connectivity strengths from the LHC to: the DACC, the left inferior parietal sulcus (LIPAR) and the RHC, while positive symptoms predicted the connectivity strengths from the LHC to the LIPAR and from the RHC to the LHC. These results reinforce the crucial role of hippocampus dysconnectivity in SZ pathology and its potential as a biomarker of disease severity.
AB - We applied spectral dynamic causal modelling (Friston et al. in Neuroimage 94:396–407. https://doi.org/10.1016/j.neuroimage.2013.12.009, 2014) to analyze the effective connectivity differences between the nodes of three resting state networks (i.e. default mode network, salience network and dorsal attention network) in a dataset of 31 male healthy controls (HC) and 25 male patients with a diagnosis of schizophrenia (SZ). Patients showed increased directed connectivity from the left hippocampus (LHC) to the: dorsal anterior cingulate cortex (DACC), right anterior insula (RAI), left frontal eye fields and the bilateral inferior parietal sulcus (LIPS & RIPS), as well as increased connectivity from the right hippocampus (RHC) to the: bilateral anterior insula (LAI & RAI), right frontal eye fields and RIPS. In SZ, negative symptoms predicted the connectivity strengths from the LHC to: the DACC, the left inferior parietal sulcus (LIPAR) and the RHC, while positive symptoms predicted the connectivity strengths from the LHC to the LIPAR and from the RHC to the LHC. These results reinforce the crucial role of hippocampus dysconnectivity in SZ pathology and its potential as a biomarker of disease severity.
KW - Schizophrenia
KW - Hippocampus
KW - Effective connectivity
KW - Spectral dynamic causal modelling
UR - http://www.scopus.com/inward/record.url?scp=85114181284&partnerID=8YFLogxK
UR - https://pubmed.ncbi.nlm.nih.gov/34482503/
UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8556208/
UR - https://europepmc.org/article/MED/34482503
UR - https://www.mendeley.com/catalogue/b978b5c4-4925-3c04-b86f-e6661f7aae4d/
U2 - 10.1007/s10548-021-00868-8
DO - 10.1007/s10548-021-00868-8
M3 - Article
C2 - 34482503
SN - 0896-0267
VL - 34
SP - 762
EP - 778
JO - Brain Topography
JF - Brain Topography
IS - 6
ER -