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 …

Evaluation of risk of bias in neuroimaging-based artificial intelligence models for psychiatric diagnosis: a systematic review

Z Chen, X Liu, Q Yang, YJ Wang, K Miao… - JAMA network …, 2023 - jamanetwork.com
Importance Neuroimaging-based artificial intelligence (AI) diagnostic models have
proliferated in psychiatry. However, their clinical applicability and reporting quality (ie …

Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry

Z Chen, B Hu, X Liu, B Becker, SB Eickhoff, K Miao… - BMC medicine, 2023 - Springer
Background The development of machine learning models for aiding in the diagnosis of
mental disorder is recognized as a significant breakthrough in the field of psychiatry …

[HTML][HTML] Visual network alterations in brain functional connectivity in chronic low back pain: A resting state functional connectivity and machine learning study

W Shen, Y Tu, RL Gollub, A Ortiz, V Napadow, S Yu… - NeuroImage: Clinical, 2019 - Elsevier
Chronic low back pain (cLBP) is associated with widespread functional and structural
changes in the brain. This study aims to investigate the resting state functional connectivity …

[HTML][HTML] A review on functional near-infrared spectroscopy and application in stroke rehabilitation

C Huo, G Xu, W Li, H Xie, T Zhang, Y Liu, Z Li - Medicine in Novel …, 2021 - Elsevier
Functional near-infrared spectroscopy (fNIRS) has gained great interest as a noninvasive
modality to study the changes in cerebral hemodynamics related to brain activity. The …

Identifying ADHD for children with coexisting ASD from fNIRs signals using deep learning approach

J Shin, S Konnai, M Maniruzzaman, MAM Hasan… - IEEE …, 2023 - ieeexplore.ieee.org
Attention deficit hyperactivity disorder (ADHD) for children is one of the most common
neurodevelopmental disorders and its prevalence has increased globally. Children with …

[HTML][HTML] Identifying ADHD boys by very-low frequency prefrontal fNIRS fluctuations during a rhythmic mental arithmetic task

S Ortuño-Miró, S Molina-Rodríguez… - Journal of Neural …, 2023 - iopscience.iop.org
Objective. Computer-aided diagnosis of attention-deficit/hyperactivity disorder (ADHD) aims
to provide useful adjunctive indicators to support more accurate and cost-effective clinical …

Functional near-infrared spectroscopy in pediatric clinical research: Different pathophysiologies and promising clinical applications

A Gallagher, F Wallois, H Obrig - Neurophotonics, 2023 - spiedigitallibrary.org
Over its 30 years of existence, functional near-infrared spectroscopy (fNIRS) has matured
into a highly versatile tool to study brain function in infants and young children. Its …

Application of functional near-infrared spectroscopy in the healthcare industry: A review

KS Hong, MA Yaqub - Journal of Innovative Optical Health …, 2019 - World Scientific
Functional near-infrared spectroscopy (fNIRS), a growing neuroimaging modality, has been
utilized over the past few decades to understand the neuronal behavior in the brain. The …

Transcutaneous electrical acupoint stimulation for children with attention-deficit/hyperactivity disorder: a randomized clinical trial

L Zhuo, X Zhao, Y Zhai, B Zhao, L Tian, Y Zhang… - Translational …, 2022 - nature.com
Little is known about the effects of transcutaneous electrical acupoint stimulation (TEAS) for
children with attention-deficit/hyperactivity disorder (ADHD). Here, we carried out a 4 week …