A review of resting-state fMRI and its use to examine psychiatric disorders

E Canario, D Chen, B Biswal - Psychoradiology, 2021 - academic.oup.com
Resting-state fMRI (rs-fMRI) has emerged as an alternative method to study brain function in
human and animal models. In humans, it has been widely used to study psychiatric …

Machine learning methods for diagnosing autism spectrum disorder and attention-deficit/hyperactivity disorder using functional and structural MRI: a survey

T Eslami, F Almuqhim, JS Raiker… - Frontiers in …, 2021 - frontiersin.org
Here we summarize recent progress in machine learning model for diagnosis of Autism
Spectrum Disorder (ASD) and Attention-deficit/Hyperactivity Disorder (ADHD). We outline …

Patterns of brain dynamic functional connectivity are linked with attention-deficit/hyperactivity disorder-related behavioral and cognitive dimensions

L Luo, L Chen, Y Wang, Q Li, N He, Y Li… - Psychological …, 2023 - cambridge.org
BackgroundAttention-deficit/hyperactivity disorder (ADHD) is a clinically heterogeneous
neurodevelopmental disorder defined by characteristic behavioral and cognitive features …

[HTML][HTML] Children with attention-deficit/hyperactivity disorder spend more time in hyperconnected network states and less time in segregated network states as …

HM Shappell, KA Duffy, KS Rosch, JJ Pekar… - Neuroimage, 2021 - Elsevier
Previous studies in children with attention-deficit/hyperactivity disorder (ADHD) have
observed functional brain network disruption on a whole-brain level, as well as on a sub …

Latent brain state dynamics distinguish behavioral variability, impaired decision-making, and inattention

W Cai, SL Warren, K Duberg, B Pennington… - Molecular …, 2021 - nature.com
Abstract Children with Attention Deficit Hyperactivity Disorder (ADHD) have prominent
deficits in sustained attention that manifest as elevated intra-individual response variability …

Multi-spatial-scale dynamic interactions between functional sources reveal sex-specific changes in schizophrenia

A Iraji, A Faghiri, Z Fu, S Rachakonda… - Network …, 2022 - direct.mit.edu
We introduce an extension of independent component analysis (ICA), called multiscale ICA,
and design an approach to capture dynamic functional source interactions within and …

[HTML][HTML] Inter-regional BOLD signal variability is an organizational feature of functional brain networks

G Baracchini, B Mišić, R Setton, L Mwilambwe-Tshilobo… - NeuroImage, 2021 - Elsevier
Neuronal variability patterns promote the formation and organization of neural circuits.
Macroscale similarities in regional variability patterns may therefore be linked to the strength …

Altered periodic dynamics in the default mode network in autism and attention-deficit/hyperactivity disorder

P Curtin, J Neufeld, A Curtin, M Arora, S Bölte - Biological psychiatry, 2022 - Elsevier
Background Altered resting-state functional connectivity in the default mode network (DMN)
is characteristic of both autism spectrum disorder (ASD) and attention-deficit/hyperactivity …

[HTML][HTML] Increased integration between default mode and task-relevant networks in children with ADHD is associated with impaired response control

KA Duffy, KS Rosch, MB Nebel, KE Seymour… - Developmental cognitive …, 2021 - Elsevier
Default mode network (DMN) dysfunction is theorized to play a role in attention lapses and
task errors in children with attention-deficit/hyperactivity disorder (ADHD). In ADHD, the …

Dynamic functional connectivity changes of resting-state brain network in attention-deficit/hyperactivity disorder

Z Zhu, H Wang, H Bi, J Lv, X Zhang, S Wang… - Behavioural Brain …, 2023 - Elsevier
Patients with attention-deficit/hyperactivity disorder (ADHD) have shown abnormal functional
connectivity and network disruptions at the whole-brain static level. However, the changes in …