A technical review of canonical correlation analysis for neuroscience applications
Collecting comprehensive data sets of the same subject has become a standard in
neuroscience research and uncovering multivariate relationships among collected data sets …
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
Healthcare traditionally relies on single-modality approaches, which limit the information
available for medical decisions. However, advancements in technology and the availability …
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 …
developmental steps. These steps have evolved across species with the emergence of …
Neuroimaging and multiomics reveal cross-scale circuit abnormalities in schizophrenia
Schizophrenia (SCZ) is a highly heterogeneous disorder with diverse clinical manifestations
and macro-and microscale biological variations, usually observed at dissociable levels …
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
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 …
typically diagnosed using self-reported symptoms. This makes it difficult to pose a confident …
Identifying covariate-related subnetworks for whole-brain connectome analysis
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 …
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
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 …
fMRI. Recent studies have identified recurring states dominated by similar coactivation …
Multiple overlapping dynamic patterns of the visual sensory network in schizophrenia
Although visual processing impairments have been explored in schizophrenia (SZ), their
underlying neurobiology of the visual processing impairments has not been widely studied …
underlying neurobiology of the visual processing impairments has not been widely studied …
Deep multimodal predictome for studying mental disorders
Characterizing neuropsychiatric disorders is challenging due to heterogeneity in the
population. We propose combining structural and functional neuroimaging and genomic …
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 …
onset of the disease indicated a worse prognosis. The left superior frontal gyrus (SFG) is …