AIMC Topic: Connectome

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Supervised dictionary learning for inferring concurrent brain networks.

IEEE transactions on medical imaging
Task-based fMRI (tfMRI) has been widely used to explore functional brain networks via predefined stimulus paradigm in the fMRI scan. Traditionally, the general linear model (GLM) has been a dominant approach to detect task-evoked networks. However, G...

Predictive Models Based on Support Vector Machines: Whole-Brain versus Regional Analysis of Structural MRI in the Alzheimer's Disease.

Journal of neuroimaging : official journal of the American Society of Neuroimaging
Decision-making systems trained on structural magnetic resonance imaging data of subjects affected by the Alzheimer's disease (AD) and healthy controls (CTRL) are becoming widespread prognostic tools for subjects with mild cognitive impairment (MCI)....

Mapping trait justice sensitivity in the Brain: Whole-brain resting-state functional connectivity as a predictor of other-oriented not self-oriented justice sensitivity.

Cognitive, affective & behavioral neuroscience
Justice sensitivity (JS) reflects personal concern and commitment to the principle of justice, showing considerable heterogeneity among the general population. Despite a growing interest in the behavioral characteristics of JS over the past decades, ...

Functional connectome-based predictive modeling of suicidal ideation.

Journal of affective disorders
Suicide represents an egregious threat to society despite major advancements in medicine, in part due to limited knowledge of the biological mechanisms of suicidal behavior. We apply a connectome predictive modeling machine learning approach to ident...

Efficacy of rTMS on SCZ symptoms: Insights from connectome mapping.

Psychiatry research
Repetitive transcranial magnetic stimulation (rTMS) is a potential treatment for schizophrenia (SCZ), yet its efficacy and underlying mechanisms remain uncertain. This study evaluates the impact of rTMS targeting the right orbitofrontal cortex (OFC) ...

An Explainable Connectome Convolutional Transformer for Multimodal Autism Spectrum Disorder Classification.

International journal of neural systems
The diagnosis of autism spectrum disorder (ASD) is often hampered by its heterogeneity and reliance on time-consuming behavioral assessments. Automated neuroimaging-based diagnostic tools offer a promising alternative, but multi-site data integration...

From resting-state functional hippocampal centrality to functional outcome: An extended neurocognitive model of psychosis.

Psychiatry research
BACKGROUND: We previously proposed a neurocognitive model of psychosis in which reduced morphometric hippocampal-cortical connectivity precedes impaired episodic memory, social cognition, negative symptoms, and functional outcome. We provided support...

Distinct Disconnection Patterns Explain Task-Specific Motor Impairment and Outcome After Stroke.

Stroke
BACKGROUND: Stroke is increasingly understood as a network disorder with symptoms often arising from disruption of white matter connectivity. Previous connectome-based lesion-symptom mapping studies revealed that poststroke motor deficits are not onl...

Global, mesoscale and local investigation into resting state fMRI brain network attributes of sleep quality.

International journal of psychophysiology : official journal of the International Organization of Psychophysiology
Poor sleep quality has been found to be associated with functional abnormalities in a few regions of the human brain. However, the brain is a dynamic network cooperation system, and it is necessary to study the relationship between sleep quality and ...

Robust computation of subcortical functional connectivity guided by quantitative susceptibility mapping: An application in Parkinson's disease diagnosis.

NeuroImage
Previous resting state functional MRI (rs-fMRI) analyses of the basal ganglia in Parkinson's disease heavily relied on T1-weighted imaging (T1WI) atlases. However, subcortical structures are characterized by subtle contrast differences, making their ...