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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 …
Amyloid-β prediction machine learning model using source-based morphometry across neurocognitive disorders
Y Momota, S Bun, J Hirano, K Kamiya, R Ueda… - Scientific reports, 2024 - nature.com
Previous studies have developed and explored magnetic resonance imaging (MRI)-based
machine learning models for predicting Alzheimer's disease (AD). However, limited research …
machine learning models for predicting Alzheimer's disease (AD). However, limited research …
Predicting disability progression and cognitive worsening in multiple sclerosis using patterns of grey matter volumes
Objective In multiple sclerosis (MS), MRI measures at the whole brain or regional level are
only modestly associated with disability, while network-based measures are emerging as …
only modestly associated with disability, while network-based measures are emerging as …
Brain structural abnormalities in adult major depressive disorder revealed by voxel-and source-based morphometry: evidence from the REST-meta-MDD Consortium
Background Neuroimaging studies on major depressive disorder (MDD) have identified an
extensive range of brain structural abnormalities, but the exact neural mechanisms …
extensive range of brain structural abnormalities, but the exact neural mechanisms …
Structural and functional brain networks of individual differences in trait anger and anger control: An unsupervised machine learning study
The ability to experience, use and eventually control anger is crucial to maintain well‐being
and build healthy relationships. Despite its relevance, the neural mechanisms behind …
and build healthy relationships. Despite its relevance, the neural mechanisms behind …
Common and different gray and white matter alterations in bipolar and borderline personality disorder: A source-based morphometry study
According to the nosological classification, Bipolar Disorder (BD) and Borderline Personality
Disorder (BPD) are different syndromes. However, these pathological conditions share a …
Disorder (BPD) are different syndromes. However, these pathological conditions share a …
Neuroimaging and natural language processing-based classification of suicidal thoughts in major depressive disorder
Suicide is a growing public health problem around the world. The most important risk factor
for suicide is underlying psychiatric illness, especially depression. Detailed classification of …
for suicide is underlying psychiatric illness, especially depression. Detailed classification of …
Dissecting neural correlates of theory of mind and executive functions in behavioral variant frontotemporal dementia
Behavioral variant frontotemporal dementia (bvFTD) is characterized by profound and early
deficits in social cognition (SC) and executive functions (EF). To date it remains unclear …
deficits in social cognition (SC) and executive functions (EF). To date it remains unclear …
Neuromorphological changes following selection for tameness and aggression in the Russian farm-fox experiment
The Russian farm-fox experiment is an unusually long-running and well-controlled study
designed to replicate wolf-to-dog domestication. As such, it offers an unprecedented window …
designed to replicate wolf-to-dog domestication. As such, it offers an unprecedented window …
Trust toward humans and trust toward artificial intelligence are not associated: Initial insights from self-report and neurostructural brain imaging
The present study examines whether self-reported trust in humans and self-reported trust in
[(different) products with built-in] artificial intelligence (AI) are associated with one another …
[(different) products with built-in] artificial intelligence (AI) are associated with one another …