scholarly journals Author Correction: Functional connectome differences in individuals with hallucinations across the psychosis continuum

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Maya J. L. Schutte ◽  
Marc M. Bohlken ◽  
Guusje Collin ◽  
Lucija Abramovic ◽  
Marco P. M. Boks ◽  
...  

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Maya J. L. Schutte ◽  
Marc M. Bohlken ◽  
Guusje Collin ◽  
Lucija Abramovic ◽  
Marco P. M. Boks ◽  
...  

AbstractHallucinations may arise from an imbalance between sensory and higher cognitive brain regions, reflected by alterations in functional connectivity. It is unknown whether hallucinations across the psychosis continuum exhibit similar alterations in functional connectivity, suggesting a common neural mechanism, or whether different mechanisms link to hallucinations across phenotypes. We acquired resting-state functional MRI scans of 483 participants, including 40 non-clinical individuals with hallucinations, 99 schizophrenia patients with hallucinations, 74 bipolar-I disorder patients with hallucinations, 42 bipolar-I disorder patients without hallucinations, and 228 healthy controls. The weighted connectivity matrices were compared using network-based statistics. Non-clinical individuals with hallucinations and schizophrenia patients with hallucinations exhibited increased connectivity, mainly among fronto-temporal and fronto-insula/cingulate areas compared to controls (P < 0.001 adjusted). Differential effects were observed for bipolar-I disorder patients with hallucinations versus controls, mainly characterized by decreased connectivity between fronto-temporal and fronto-striatal areas (P = 0.012 adjusted). No connectivity alterations were found between bipolar-I disorder patients without hallucinations and controls. Our results support the notion that hallucinations in non-clinical individuals and schizophrenia patients are related to altered interactions between sensory and higher-order cognitive brain regions. However, a different dysconnectivity pattern was observed for bipolar-I disorder patients with hallucinations, which implies a different neural mechanism across the psychosis continuum.


2019 ◽  
Author(s):  
A Weller ◽  
GN Bischof ◽  
P Schlüter ◽  
N Richter ◽  
J Kukolja ◽  
...  

NeuroImage ◽  
2021 ◽  
Vol 229 ◽  
pp. 117769
Author(s):  
Zeus Gracia-Tabuenca ◽  
Martha Beatriz Moreno ◽  
Fernando A. Barrios ◽  
Sarael Alcauter

2021 ◽  
Author(s):  
Qiushi Wang ◽  
Yuehua Xu ◽  
Tengda Zhao ◽  
Zhilei Xu ◽  
Yong He ◽  
...  

Abstract The functional connectome is highly distinctive in adults and adolescents, underlying individual differences in cognition and behavior. However, it remains unknown whether the individual uniqueness of the functional connectome is present in neonates, who are far from mature. Here, we utilized the multiband resting-state functional magnetic resonance imaging data of 40 healthy neonates from the Developing Human Connectome Project and a split-half analysis approach to characterize the uniqueness of the functional connectome in the neonatal brain. Through functional connectome-based individual identification analysis, we found that all the neonates were correctly identified, with the most discriminative regions predominantly confined to the higher-order cortices (e.g., prefrontal and parietal regions). The connectivities with the highest contributions to individual uniqueness were primarily located between different functional systems, and the short- (0–30 mm) and middle-range (30–60 mm) connectivities were more distinctive than the long-range (&gt;60 mm) connectivities. Interestingly, we found that functional data with a scanning length longer than 3.5 min were able to capture the individual uniqueness in the functional connectome. Our results highlight that individual uniqueness is present in the functional connectome of neonates and provide insights into the brain mechanisms underlying individual differences in cognition and behavior later in life.


2021 ◽  
Vol 14 ◽  
pp. 100285
Author(s):  
Peiduo Liu ◽  
Wenjing Yang ◽  
Kaixiang Zhuang ◽  
Dongtao Wei ◽  
Rongjun Yu ◽  
...  

Author(s):  
Zeyi Wang ◽  
Haris I. Sair ◽  
Ciprian Crainiceanu ◽  
Martin Lindquist ◽  
Bennett A. Landman ◽  
...  

2014 ◽  
Vol 130 (4) ◽  
pp. 311-317 ◽  
Author(s):  
M. Tesli ◽  
T. Espeseth ◽  
F. Bettella ◽  
M. Mattingsdal ◽  
M. Aas ◽  
...  

NeuroImage ◽  
2021 ◽  
pp. 118115
Author(s):  
Yin Wang ◽  
Athanasia Metoki ◽  
Yunman Xia ◽  
Yinyin Zang ◽  
Yong He ◽  
...  

Author(s):  
Juan Wang ◽  
Reza Khosrowabadi ◽  
Kwun Kei Ng ◽  
Zhaoping Hong ◽  
Joanna Su Xian Chong ◽  
...  

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