Neuroimaging-based individualized prediction of cognition and behavior for mental disorders and health: methods and promises
The neuroimaging community has witnessed a paradigm shift in biomarker discovery from
using traditional univariate brain mapping approaches to multivariate predictive models …
using traditional univariate brain mapping approaches to multivariate predictive models …
Artificial intelligence in neurodegenerative diseases: A review of available tools with a focus on machine learning techniques
Neurodegenerative diseases have shown an increasing incidence in the older population in
recent years. A significant amount of research has been conducted to characterize these …
recent years. A significant amount of research has been conducted to characterize these …
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 …
[HTML][HTML] Distinct neural signatures detected for ADHD subtypes after controlling for micro-movements in resting state functional connectivity MRI data
In recent years, there has been growing enthusiasm that functional magnetic resonance
imaging (MRI) could achieve clinical utility for a broad range of neuropsychiatric disorders …
imaging (MRI) could achieve clinical utility for a broad range of neuropsychiatric disorders …
Distinct neuropsychological subgroups in typically developing youth inform heterogeneity in children with ADHD
Research and clinical investigations in psychiatry largely rely on the de facto assumption
that the diagnostic categories identified in the Diagnostic and Statistical Manual (DSM) …
that the diagnostic categories identified in the Diagnostic and Statistical Manual (DSM) …
Huntington disease: natural history, biomarkers and prospects for therapeutics
CA Ross, EH Aylward, EJ Wild, DR Langbehn… - Nature Reviews …, 2014 - nature.com
Huntington disease (HD) can be seen as a model neurodegenerative disorder, in that it is
caused by a single genetic mutation and is amenable to predictive genetic testing, with …
caused by a single genetic mutation and is amenable to predictive genetic testing, with …
A computational neurodegenerative disease progression score: method and results with the Alzheimer's disease neuroimaging initiative cohort
While neurodegenerative diseases are characterized by steady degeneration over relatively
long timelines, it is widely believed that the early stages are the most promising for …
long timelines, it is widely believed that the early stages are the most promising for …
Analyses of regional-average activation and multivoxel pattern information tell complementary stories
K Jimura, RA Poldrack - Neuropsychologia, 2012 - Elsevier
Multivariate pattern analysis (MVPA) has recently received increasing attention in functional
neuroimaging due to its ability to decode mental states from fMRI signals. However …
neuroimaging due to its ability to decode mental states from fMRI signals. However …
[HTML][HTML] Diagnosis support systems for rare diseases: a scoping review
Introduction Rare diseases affect approximately 350 million people worldwide. Delayed
diagnosis is frequent due to lack of knowledge of most clinicians and a small number of …
diagnosis is frequent due to lack of knowledge of most clinicians and a small number of …
Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data
Parkinson's disease (PD) is an overwhelming neurodegenerative disorder caused by
deterioration of a neurotransmitter, known as dopamine. Lack of this chemical messenger …
deterioration of a neurotransmitter, known as dopamine. Lack of this chemical messenger …