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Automated detection of ADHD: Current trends and future perspective
Attention deficit hyperactivity disorder (ADHD) is a heterogenous disorder that has a
detrimental impact on the neurodevelopment of the brain. ADHD patients exhibit …
detrimental impact on the neurodevelopment of the brain. ADHD patients exhibit …
Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls
Neuroimaging-based single subject prediction of brain disorders has gained increasing
attention in recent years. Using a variety of neuroimaging modalities such as structural …
attention in recent years. Using a variety of neuroimaging modalities such as structural …
Classification and prediction of brain disorders using functional connectivity: promising but challenging
Brain functional imaging data, especially functional magnetic resonance imaging (fMRI)
data, have been employed to reflect functional integration of the brain. Alteration in brain …
data, have been employed to reflect functional integration of the brain. Alteration in brain …
Graph analysis of the human connectome: promise, progress, and pitfalls
The human brain is a complex, interconnected network par excellence. Accurate and
informative map** of this human connectome has become a central goal of neuroscience …
informative map** of this human connectome has become a central goal of neuroscience …
Towards a brain‐based predictome of mental illness
Neuroimaging‐based approaches have been extensively applied to study mental illness in
recent years and have deepened our understanding of both cognitively healthy and …
recent years and have deepened our understanding of both cognitively healthy and …
The neuro bureau ADHD-200 preprocessed repository
Abstract In 2011, the “ADHD-200 Global Competition” was held with the aim of identifying
biomarkers of attention-deficit/hyperactivity disorder from resting-state functional magnetic …
biomarkers of attention-deficit/hyperactivity disorder from resting-state functional magnetic …
Machine learning in attention-deficit/hyperactivity disorder: new approaches toward understanding the neural mechanisms
Attention-deficit/hyperactivity disorder (ADHD) is a highly prevalent and heterogeneous
neurodevelopmental disorder in children and has a high chance of persisting in adulthood …
neurodevelopmental disorder in children and has a high chance of persisting in adulthood …
DeepFMRI: End-to-end deep learning for functional connectivity and classification of ADHD using fMRI
Background Resting state fMRI has emerged as a popular neuroimaging method for
automated recognition and classification of brain disorders. Attention Deficit Hyperactivity …
automated recognition and classification of brain disorders. Attention Deficit Hyperactivity …
Clinical applications of the functional connectome
Central to the development of clinical applications of functional connectomics for neurology
and psychiatry is the discovery and validation of biomarkers. Resting state fMRI (R-fMRI) is …
and psychiatry is the discovery and validation of biomarkers. Resting state fMRI (R-fMRI) is …
Toward precision medicine in ADHD
Attention-Deficit Hyperactivity Disorder (ADHD) is a complex and heterogeneous
neurodevelopmental condition for which curative treatments are lacking. Whilst …
neurodevelopmental condition for which curative treatments are lacking. Whilst …