A review of machine learning and deep learning approaches on mental health diagnosis

NK Iyortsuun, SH Kim, M Jhon, HJ Yang, S Pant - Healthcare, 2023 - mdpi.com
Combating mental illnesses such as depression and anxiety has become a global concern.
As a result of the necessity for finding effective ways to battle these problems, machine …

Ensemble model for diagnostic classification of Alzheimer's disease based on brain anatomical magnetic resonance imaging

YF Khan, B Kaushik, CL Chowdhary, G Srivastava - Diagnostics, 2022 - mdpi.com
Alzheimer's is one of the fast-growing diseases among people worldwide leading to brain
atrophy. Neuroimaging reveals extensive information about the brain's anatomy and …

Automatic identification of children with ADHD from EEG brain waves

A Alim, MH Imtiaz - Signals, 2023 - mdpi.com
EEG (electroencephalogram) signals could be used reliably to extract critical information
regarding ADHD (attention deficit hyperactivity disorder), a childhood neurodevelopmental …

Distinct frontoparietal brain dynamics underlying the co-occurrence of autism and ADHD

D Watanabe, T Watanabe - eneuro, 2023 - eneuro.org
Previous diagnostic systems precluded the co-existence of autism spectrum disorder (ASD)
and attention-deficit/hyperactivity disorder (ADHD) in one person; but, after many clinical …

[HTML][HTML] The contributions of neonatal inhalation of copper to air pollution-induced neurodevelopmental outcomes in mice

J Cubello, E Marvin, K Conrad, AK Merrill, JV George… - Neurotoxicology, 2024 - Elsevier
Exposures to ambient ultrafine particle (UFP) air pollution (AP) during the early postnatal
period in mice (equivalent to human third trimester brain development) produce male-biased …

Altered neurovascular coupling in the children with attention-deficit/hyperactivity disorder: a comprehensive fMRI analysis

S Su, J Zhao, Y Dai, L Lin, Q Zhou, Z Yan… - European Child & …, 2024 - Springer
The coupling between resting-state cerebral blood flow (CBF) and blood oxygenation level-
dependent (BOLD) signals reflects the mechanism of neurovascular coupling (NVC), which …

How brain networks tic: Predicting tic severity through rs‐fMRI dynamics in Tourette syndrome

S Ramkiran, T Veselinović, J Dammers… - Human brain …, 2023 - Wiley Online Library
Tourette syndrome (TS) is a neuropsychiatric disorder characterized by motor and phonic
tics, which several different theories, such as basal ganglia‐thalamo‐cortical loop …

Machine Learning for Mental Health: A Systematic Study of Seven Approaches for Detecting Mental Disorders

M Nadeem, J Rashid, H Moon… - … Technical Conference on …, 2023 - ieeexplore.ieee.org
Mental disorders are a prevalent issue among teenagers. The widespread use of
smartphones and social media has revolutionized the way individuals communicate and …

Different brain functional network abnormalities between attention-deficit/hyperactivity disorder youth with and without familial risk for bipolar disorder

K Qin, D Lei, Z Zhu, W Li, MJ Tallman… - European Child & …, 2024 - Springer
Attention-deficit/hyperactivity disorder (ADHD) commonly precedes the initial onset of mania
in youth with familial risk for bipolar disorder (BD). Although ADHD youth with and without …

Aberrant Functional Connectivity in Core–Periphery Structure Based on WSBM in ADHD

D Li, D Hou, Y Zhang, Y Zhao, X Cui… - Journal of Attention …, 2024 - journals.sagepub.com
Objective: Brain network studies have revealed that the community structure of ADHD is
altered. However, these studies have only focused on modular community structure …