A review of feature reduction techniques in neuroimaging
B Mwangi, TS Tian, JC Soares - Neuroinformatics, 2014 - Springer
Abstract Machine learning techniques are increasingly being used in making relevant
predictions and inferences on individual subjects neuroimaging scan data. Previous studies …
predictions and inferences on individual subjects neuroimaging scan data. Previous studies …
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 …
Benchmarking functional connectome-based predictive models for resting-state fMRI
Functional connectomes reveal biomarkers of individual psychological or clinical traits.
However, there is great variability in the analytic pipelines typically used to derive them from …
However, there is great variability in the analytic pipelines typically used to derive them from …
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 …
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 …
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 …
Intrinsic functional connectivity in attention-deficit/hyperactivity disorder: a science in development
Functional magnetic resonance imaging without an explicit task (ie, resting-state functional
magnetic resonance imaging) of individuals with attention-deficit/hyperactivity disorder …
magnetic resonance imaging) of individuals with attention-deficit/hyperactivity disorder …
Progress and roadblocks in the search for brain-based biomarkers of autism and attention-deficit/hyperactivity disorder
Children with neurodevelopmental disorders benefit most from early interventions and
treatments. The development and validation of brain-based biomarkers to aid in objective …
treatments. The development and validation of brain-based biomarkers to aid in objective …
Imaging the ADHD brain: disorder-specificity, medication effects and clinical translation
A plethora of magnetic resonance imaging studies have shown that ADHD is characterized
by multiple functional and structural neural network abnormalities beyond the classical …
by multiple functional and structural neural network abnormalities beyond the classical …
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 …