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Aberrant cortical morphological networks in first-episode schizophrenia

Poster No:

365

Submission Type:

Abstract Submission

Authors:

Fengmei Fan¹, Suhui Jin², Yating Lv³, Shuping Tan⁴, Zhiren Wang⁴, Qihong Zou⁵, Fude Yang⁴, Yunlong Tan⁴, Jinhui Wang⁶

Institutions:

¹Beijing Huilongguan Hospital, Beijing, Beijing, ²Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou 510631, Ch, Guangzhou, Guangdong, ³Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University,, Hangzhou, Zhejiang, ⁴Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing, Beijing, ⁵Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, Beijing, ⁶Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, Guangdong

First Author:

Fengmei Fan
Beijing Huilongguan Hospital
Beijing, Beijing

Co-Author(s):

Suhui Jin
Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou 510631, Ch
Guangzhou, Guangdong

Yating Lv
Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University,
Hangzhou, Zhejiang

Shuping Tan
Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School
Beijing, Beijing

Zhiren Wang
Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School
Beijing, Beijing

Qihong Zou
Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University
Beijing, Beijing

Fude Yang
Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School
Beijing, Beijing

Yunlong Tan
Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School
Beijing, Beijing

Jinhui Wang
Institute for Brain Research and Rehabilitation, South China Normal University
Guangzhou, Guangdong

Introduction:

Population-based morphological covariance networks are widely reported to be altered in schizophrenia. Individualized morphological brain network approaches have emerged recently. We hypothesize that individualized morphological brain networks are disrupted in schizophrenia.

Methods:

We constructed single-subject morphological brain networks for 203 patients with first-episode schizophrenia (FES) and 131 healthy controls separately based on regional cortical thickness (CT), fractal dimension (FD), gyrification index, and sulcal depth (SD) by dividing the cerebral cortex into 360 regions in terms of the Human Connectome Project-MultiModal Parcellation (HCP-MMP) atlas.

Results:

Compared with the controls, the patients exhibited morphological similarity reductions in all types of networks while increases in FD- and SD-based networks. The altered morphological similarities were commonly involved in cingulo-opercular and default mode networks. Interestingly, the altered morphological similarities accounted for clinical symptoms and cognitive dysfunction in the patients and distinguished the patients from controls, with better performance than altered local morphology. In addition, graph-based analysis revealed that global organization was intact while nodal centrality was altered in the patients as characterized by decreased degree and efficiency in the left inferior parietal cortex and increased efficiency in left area superior temporal gyrus for the CT-based networks, decreased degree and efficiency in the left Posterior Insular Area 2 for the FD-based networks, and decreased betweenness in the left Area 52 for the SD-based networks.

Conclusions:

The current study demonstrated characteristic disruptions in morphological similarity and topological organization of single-subject morphological brain networks in FES. Specifically, decreased morphological similarities were found in all types of morphological brain networks, while increased morphological similarities were observed only in the FDNs and SDNs in the FES patients. Of the alterations, reduced morphological similarities in the CTNs exhibited the best performance in accounting for clinical symptoms of the patients and in distinguishing the patients from controls. These findings provide novel insights into neurobiological mechanisms underlying schizophrenia and offer potential new biomarkers for the early diagnosis of the disease.

Disorders of the Nervous System:

Psychiatric (eg. Depression, Anxiety, Schizophrenia) ¹

Novel Imaging Acquisition Methods:

Anatomical MRI ²

Keywords:

Other - brain network; cortical surface; morphology; structural MRI; first-episode schizophrenia

^1|2Indicates the priority used for review

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Please indicate below if your study was a "resting state" or "task-activation” study.

Other

Healthy subjects only or patients (note that patient studies may also involve healthy subjects):

Patients

Was this research conducted in the United States?

Were any human subjects research approved by the relevant Institutional Review Board or ethics panel? NOTE: Any human subjects studies without IRB approval will be automatically rejected.

Yes

Were any animal research approved by the relevant IACUC or other animal research panel? NOTE: Any animal studies without IACUC approval will be automatically rejected.

Yes

Please indicate which methods were used in your research:

Structural MRI

For human MRI, what field strength scanner do you use?

3.0T

Which processing packages did you use for your study?

SPM

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Provide references using APA citation style.

Bleuler E. Dementia praecox or the group of schizophrenias. Vertex. 2010;21(93):394-400.

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