Automated detection of ADHD: Current trends and future perspective

HW Loh, CP Ooi, PD Barua, EE Palmer… - Computers in Biology …, 2022 - Elsevier
Attention deficit hyperactivity disorder (ADHD) is a heterogenous disorder that has a
detrimental impact on the neurodevelopment of the brain. ADHD patients exhibit …

Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls

MR Arbabshirani, S Plis, J Sui, VD Calhoun - Neuroimage, 2017 - Elsevier
Neuroimaging-based single subject prediction of brain disorders has gained increasing
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

Y Du, Z Fu, VD Calhoun - Frontiers in neuroscience, 2018 - frontiersin.org
Brain functional imaging data, especially functional magnetic resonance imaging (fMRI)
data, have been employed to reflect functional integration of the brain. Alteration in brain …

Graph analysis of the human connectome: promise, progress, and pitfalls

A Fornito, A Zalesky, M Breakspear - Neuroimage, 2013 - Elsevier
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 …

Towards a brain‐based predictome of mental illness

B Rashid, V Calhoun - Human brain map**, 2020 - Wiley Online Library
Neuroimaging‐based approaches have been extensively applied to study mental illness in
recent years and have deepened our understanding of both cognitively healthy and …

The neuro bureau ADHD-200 preprocessed repository

P Bellec, C Chu, F Chouinard-Decorte, Y Benhajali… - Neuroimage, 2017 - Elsevier
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 …

Machine learning in attention-deficit/hyperactivity disorder: new approaches toward understanding the neural mechanisms

M Cao, E Martin, X Li - Translational Psychiatry, 2023 - nature.com
Attention-deficit/hyperactivity disorder (ADHD) is a highly prevalent and heterogeneous
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

A Riaz, M Asad, E Alonso, G Slabaugh - Journal of neuroscience methods, 2020 - Elsevier
Background Resting state fMRI has emerged as a popular neuroimaging method for
automated recognition and classification of brain disorders. Attention Deficit Hyperactivity …

Clinical applications of the functional connectome

FX Castellanos, A Di Martino, RC Craddock, AD Mehta… - Neuroimage, 2013 - Elsevier
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 …

Toward precision medicine in ADHD

J Buitelaar, S Bölte, D Brandeis, A Caye… - Frontiers in behavioral …, 2022 - frontiersin.org
Attention-Deficit Hyperactivity Disorder (ADHD) is a complex and heterogeneous
neurodevelopmental condition for which curative treatments are lacking. Whilst …