A comprehensive evaluation of multicentric reliability of single-subject cortical morphological networks on traveling subjects

Despite the prevalence of research on single-subject cerebral morphological networks in recent years, whether they can offer a reliable way for multicentric studies remains largely unknown. Using two multicentric datasets of traveling subjects, this work systematically examined the inter-site test-r...

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Published in:Cerebral cortex (New York, N.Y. 1991) Vol. 33; no. 14; p. 9003
Main Authors: Yin, Guole, Li, Ting, Jin, Suhui, Wang, Ningkai, Li, Junle, Wu, Changwen, He, Hongjian, Wang, Jinhui
Format: Journal Article
Language:English
Published: United States 05.07.2023
Subjects:
Brain - anatomy & histology
Connectome - methods
Humans
Magnetic Resonance Imaging - methods
Reproducibility of Results
multicentric study
structural MRI
test-retest reliability
morphological brain network
graph theory
ISSN:1460-2199, 1460-2199
Online Access:Get more information
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Summary:Despite the prevalence of research on single-subject cerebral morphological networks in recent years, whether they can offer a reliable way for multicentric studies remains largely unknown. Using two multicentric datasets of traveling subjects, this work systematically examined the inter-site test-retest (TRT) reliabilities of single-subject cerebral morphological networks, and further evaluated the effects of several key factors. We found that most graph-based network measures exhibited fair to excellent reliabilities regardless of different analytical pipelines. Nevertheless, the reliabilities were affected by choices of morphological index (fractal dimension > sulcal depth > gyrification index > cortical thickness), brain parcellation (high-resolution > low-resolution), thresholding method (proportional > absolute), and network type (binarized > weighted). For the factor of similarity measure, its effects depended on the thresholding method used (absolute: Kullback-Leibler divergence > Jensen-Shannon divergence; proportional: Jensen-Shannon divergence > Kullback-Leibler divergence). Furthermore, longer data acquisition intervals and different scanner software versions significantly reduced the reliabilities. Finally, we showed that inter-site reliabilities were significantly lower than intra-site reliabilities for single-subject cerebral morphological networks. Altogether, our findings propose single-subject cerebral morphological networks as a promising approach for multicentric human connectome studies, and offer recommendations on how to determine analytical pipelines and scanning protocols for obtaining reliable results.
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ISSN:1460-2199
1460-2199
DOI:10.1093/cercor/bhad178