Neurodevelopment of the association cortices: Patterns, mechanisms, and implications for psychopathology
The human brain undergoes a prolonged period of cortical development that spans multiple
decades. During childhood and adolescence, cortical development progresses from lower …
decades. During childhood and adolescence, cortical development progresses from lower …
Ten Years of BrainAGE as a Neuroimaging Biomarker of Brain Aging: What Insights Have We Gained?
With the aging population, prevalence of neurodegenerative diseases is increasing, thus
placing a growing burden on individuals and the whole society. However, individual rates of …
placing a growing burden on individuals and the whole society. However, individual rates of …
[HTML][HTML] Shared and unique brain network features predict cognitive, personality, and mental health scores in the ABCD study
How individual differences in brain network organization track behavioral variability is a
fundamental question in systems neuroscience. Recent work suggests that resting-state and …
fundamental question in systems neuroscience. Recent work suggests that resting-state and …
Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets
Recently, deep learning has unlocked unprecedented success in various domains,
especially using images, text, and speech. However, deep learning is only beneficial if the …
especially using images, text, and speech. However, deep learning is only beneficial if the …
[HTML][HTML] Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan
As medical imaging enters its information era and presents rapidly increasing needs for big
data analytics, robust pooling and harmonization of imaging data across diverse cohorts …
data analytics, robust pooling and harmonization of imaging data across diverse cohorts …
[HTML][HTML] Functional brain networks are dominated by stable group and individual factors, not cognitive or daily variation
The organization of human brain networks can be measured by capturing correlated brain
activity with fMRI. There is considerable interest in understanding how brain networks vary …
activity with fMRI. There is considerable interest in understanding how brain networks vary …
Deep learning for neuroimaging-based diagnosis and rehabilitation of autism spectrum disorder: a review
Abstract Accurate diagnosis of Autism Spectrum Disorder (ASD) followed by effective
rehabilitation is essential for the management of this disorder. Artificial intelligence (AI) …
rehabilitation is essential for the management of this disorder. Artificial intelligence (AI) …
Disrupted intrinsic functional brain topology in patients with major depressive disorder
Aberrant topological organization of whole-brain networks has been inconsistently reported
in studies of patients with major depressive disorder (MDD), reflecting limited sample sizes …
in studies of patients with major depressive disorder (MDD), reflecting limited sample sizes …
[HTML][HTML] Identification of autism spectrum disorder using deep learning and the ABIDE dataset
The goal of the present study was to apply deep learning algorithms to identify autism
spectrum disorder (ASD) patients from large brain imaging dataset, based solely on the …
spectrum disorder (ASD) patients from large brain imaging dataset, based solely on the …
Resting-state connectivity biomarkers define neurophysiological subtypes of depression
Biomarkers have transformed modern medicine but remain largely elusive in psychiatry,
partly because there is a weak correspondence between diagnostic labels and their …
partly because there is a weak correspondence between diagnostic labels and their …