[HTML][HTML] Is autonomic nervous system function atypical in attention deficit hyperactivity disorder (ADHD)? A systematic review of the evidence

A Bellato, I Arora, C Hollis, MJ Groom - Neuroscience & Biobehavioral …, 2020 - Elsevier
Although arousal mechanisms have frequently been found to be atypical in ADHD, these
findings usually emerged from indirect behavioural measures which give only a limited …

Neurofeedback for cognitive enhancement and intervention and brain plasticity

C Loriette, C Ziane, SB Hamed - Revue Neurologique, 2021 - Elsevier
In recent years, neurofeedback has been used as a cognitive training tool to improve brain
functions for clinical or recreational purposes. It is based on providing participants with …

Toward a neurocircuit-based taxonomy to guide treatment of obsessive–compulsive disorder

E Shephard, ER Stern, OA van den Heuvel… - Molecular …, 2021 - nature.com
An important challenge in mental health research is to translate findings from cognitive
neuroscience and neuroimaging research into effective treatments that target the …

Multiple measurement analysis of resting-state fMRI for ADHD classification in adolescent brain from the ABCD study

Z Wang, X Zhou, Y Gui, M Liu, H Lu - Translational Psychiatry, 2023 - nature.com
Attention deficit hyperactivity disorder (ADHD) is one of the most common psychiatric
disorders in school-aged children. Its accurate diagnosis looks after patients' interests well …

Neurotherapeutics for attention deficit/hyperactivity disorder (ADHD): a review

K Rubia, S Westwood, PM Aggensteiner, D Brandeis - Cells, 2021 - mdpi.com
This review focuses on the evidence for neurotherapeutics for attention deficit/hyperactivity
disorder (ADHD). EEG-neurofeedback has been tested for about 45 years, with the latest …

Treatment biomarkers for ADHD: Taking stock and moving forward

G Michelini, LJ Norman, P Shaw, SK Loo - Translational psychiatry, 2022 - nature.com
The development of treatment biomarkers for psychiatric disorders has been challenging,
particularly for heterogeneous neurodevelopmental conditions such as attention …

Real-time functional MRI in the treatment of mental health disorders

V Taschereau-Dumouchel… - Annual review of …, 2022 - annualreviews.org
Multiple mental disorders have been associated with dysregulation of precise brain
processes. However, few therapeutic approaches can correct such specific patterns of brain …

A deep learning method for autism spectrum disorder identification based on interactions of hierarchical brain networks

N Qiang, J Gao, Q Dong, J Li, S Zhang, H Liang… - Behavioural Brain …, 2023 - Elsevier
Background It has been recently shown that deep learning models exhibited remarkable
performance of representing functional Magnetic Resonance Imaging (fMRI) data for the …

Deep spatio-temporal representation and ensemble classification for attention deficit/hyperactivity disorder

S Liu, L Zhao, X Wang, Q Xin, J Zhao… - … on Neural Systems …, 2020 - ieeexplore.ieee.org
Attention deficit/Hyperactivity disorder (ADHD) is a complex, universal and heterogeneous
neurodevelopmental disease. The traditional diagnosis of ADHD relies on the long-term …

[HTML][HTML] Multimodal neuroimaging-based prediction of adult outcomes in childhood-onset ADHD using ensemble learning techniques

Y Luo, TL Alvarez, JM Halperin, X Li - NeuroImage: Clinical, 2020 - Elsevier
Attention-deficit/hyperactivity disorder (ADHD) is a highly prevalent and heterogeneous
neurodevelopmental disorder, which is diagnosed using subjective symptom reports …