TY - JOUR
T1 - Reproducible coactivation patterns of functional brain networks reveal the aberrant dynamic state transition in schizophrenia
AU - Yang, Hang
AU - Zhang, Hong
AU - Di, Xin
AU - Wang, Shuai
AU - Meng, Chun
AU - Tian, Lin
AU - Biswal, Bharat
N1 - Funding Information:
We thank Robert Bilder, Russell Poldrack and their colleagues for sharing the data (OpenNEURO). We are grateful to all the patients and volunteers of this study as well as the staffs at the Wuxi Mental Health Center for their help with participant recruitment and data collection. This work was supported by the National Natural Science Foundation of China (NSFC) grant (No. 62071109 to C.M., No. 81871081 and 81301148 to L.T., No. 61871420 to H.Y and B.B.).
Funding Information:
All participants provided informed written consent. This research was approved by the respective Universities/Hospitals depending on the origin of the dataset (Medical Ethics Committee of Wuxi Mental Health Center, Nanjing Medical University for the WuXi cohort, Institutional Review Boards at UCLA and the Los Angeles County for the UCLA cohort, and institutional review board protocols of the University of New Mexico for the COBRE cohort). This study was conducted in accordance with the Declaration of Helsinki guidelines. The two open cohorts were obtained from UCLA Consortium for Neuropsychiatric Phenomics LA5c Study (https://openneuro.org/datasets/ds000030/versions/1.0.0) and The Center for Biomedical Research Excellence (COBRE) (http://fcon_1000.projects.nitrc.org/indi/retro/cobre.html). The WuXi cohort is not publicly available due to privacy or ethical restrictions. The code that supports the findings of this study will be available from the corresponding author upon request. We thank Robert Bilder, Russell Poldrack and their colleagues for sharing the data (OpenNEURO). We are grateful to all the patients and volunteers of this study as well as the staffs at the Wuxi Mental Health Center for their help with participant recruitment and data collection. This work was supported by the National Natural Science Foundation of China (NSFC) grant (No. 62071109 to C.M. No. 81871081 and 81301148 to L.T. No. 61871420 to H.Y and B.B.). Hang Yang: Conceptualization, Methodology, Software, Data Analysis, Writing Original Draft, and Editing. Hong Zhang: Data Analysis, and Reviewing. Xin Di: Reviewing and Editing. Shuai Wang: Reviewing and Editing. Chun Meng: Reviewing, Methodology and Editing. Lin Tian: Reviewing and Editing. Bharat B Biswal: Conceptualization, Methodology, Software, and Editing.
Publisher Copyright:
© 2021
PY - 2021/8/15
Y1 - 2021/8/15
N2 - It is well documented that massive dynamic information is contained in the resting-state fMRI. Recent studies have identified recurring states dominated by similar coactivation patterns (CAPs) and revealed their temporal dynamics. However, the reproducibility and generalizability of the CAP analysis are unclear. To address this question, the effects of methodological pipelines on CAP are comprehensively evaluated in this study, including the preprocessing, network construction, cluster number and three independent cohorts. The CAP state dynamics are characterized by the fraction of time, persistence, counts, and transition probability. Results demonstrate six reliable CAP states and their dynamic characteristics are also reproducible. The state transition probability is found to be positively associated with the spatial similarity. Furthermore, the aberrant CAP states in schizophrenia have been investigated by using the reproducible method on three cohorts. Schizophrenia patients spend less time in CAP states that involve the fronto-parietal network, but more time in CAP states that involve the default mode and salience network. The aberrant dynamic characteristics of CAP states are correlated with the symptom severity. These results reveal the reproducibility and generalizability of the CAP analysis, which can provide novel insights into the neuropathological mechanism associated with aberrant brain network dynamics of schizophrenia.
AB - It is well documented that massive dynamic information is contained in the resting-state fMRI. Recent studies have identified recurring states dominated by similar coactivation patterns (CAPs) and revealed their temporal dynamics. However, the reproducibility and generalizability of the CAP analysis are unclear. To address this question, the effects of methodological pipelines on CAP are comprehensively evaluated in this study, including the preprocessing, network construction, cluster number and three independent cohorts. The CAP state dynamics are characterized by the fraction of time, persistence, counts, and transition probability. Results demonstrate six reliable CAP states and their dynamic characteristics are also reproducible. The state transition probability is found to be positively associated with the spatial similarity. Furthermore, the aberrant CAP states in schizophrenia have been investigated by using the reproducible method on three cohorts. Schizophrenia patients spend less time in CAP states that involve the fronto-parietal network, but more time in CAP states that involve the default mode and salience network. The aberrant dynamic characteristics of CAP states are correlated with the symptom severity. These results reveal the reproducibility and generalizability of the CAP analysis, which can provide novel insights into the neuropathological mechanism associated with aberrant brain network dynamics of schizophrenia.
KW - Coactivation patterns
KW - Dynamics
KW - Reproducibility
KW - Schizophrenia
KW - Triple-network
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UR - http://www.scopus.com/inward/citedby.url?scp=85106650140&partnerID=8YFLogxK
U2 - 10.1016/j.neuroimage.2021.118193
DO - 10.1016/j.neuroimage.2021.118193
M3 - Article
C2 - 34048900
AN - SCOPUS:85106650140
SN - 1053-8119
VL - 237
JO - NeuroImage
JF - NeuroImage
M1 - 118193
ER -