A technical review of canonical correlation analysis for neuroscience applications

X Zhuang, Z Yang, D Cordes - Human brain mapping, 2020 - Wiley Online Library
Collecting comprehensive data sets of the same subject has become a standard in
neuroscience research and uncovering multivariate relationships among collected data sets …

[HTML][HTML] Multi-modality approaches for medical support systems: A systematic review of the last decade

M Salvi, HW Loh, S Seoni, PD Barua, S García… - Information …, 2023 - Elsevier
Healthcare traditionally relies on single-modality approaches, which limit the information
available for medical decisions. However, advancements in technology and the availability …

[HTML][HTML] Cortical malformations: lessons in human brain development

L Subramanian, ME Calcagnotto… - Frontiers in cellular …, 2020 - frontiersin.org
Creating a functional cerebral cortex requires a series of complex and well-coordinated
developmental steps. These steps have evolved across species with the emergence of …

Neuroimaging and multiomics reveal cross-scale circuit abnormalities in schizophrenia

M Wang, H Yan, X Tian, W Yue, Y Liu, L Fan… - Nature Mental …, 2023 - nature.com
Schizophrenia (SCZ) is a highly heterogeneous disorder with diverse clinical manifestations
and macro-and microscale biological variations, usually observed at dissociable levels …

Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness

MA Rahaman, J Chen, Z Fu, N Lewis… - 2021 43rd Annual …, 2021 - ieeexplore.ieee.org
Neuropsychiatric disorders such as schizophrenia are very heterogeneous in nature and
typically diagnosed using self-reported symptoms. This makes it difficult to pose a confident …

Identifying covariate-related subnetworks for whole-brain connectome analysis

S Chen, Y Zhang, Q Wu, C Bi, P Kochunov… - Biostatistics, 2024 - academic.oup.com
Whole-brain connectome data characterize the connections among distributed neural
populations as a set of edges in a large network, and neuroscience research aims to …

[HTML][HTML] Reproducible coactivation patterns of functional brain networks reveal the aberrant dynamic state transition in schizophrenia

H Yang, H Zhang, X Di, S Wang, C Meng, L Tian… - Neuroimage, 2021 - Elsevier
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 …

Multiple overlapping dynamic patterns of the visual sensory network in schizophrenia

MSE Sendi, GD Pearlson, DH Mathalon, JM Ford… - Schizophrenia …, 2021 - Elsevier
Although visual processing impairments have been explored in schizophrenia (SZ), their
underlying neurobiology of the visual processing impairments has not been widely studied …

Deep multimodal predictome for studying mental disorders

MA Rahaman, J Chen, Z Fu, N Lewis… - Human brain …, 2023 - Wiley Online Library
Characterizing neuropsychiatric disorders is challenging due to heterogeneity in the
population. We propose combining structural and functional neuroimaging and genomic …

[HTML][HTML] The relationship between abnormal resting-state functional connectivity of the left superior frontal gyrus and cognitive impairments in youth-onset drug-naive …

X Qiu, S Lu, M Zhou, W Yan, J Du, A Zhang… - Frontiers in …, 2021 - frontiersin.org
Objective: Age of onset is one of the heterogeneous factors in schizophrenia, and an earlier
onset of the disease indicated a worse prognosis. The left superior frontal gyrus (SFG) is …