A Network Theory Investigation into the Altered Resting State Functional Connectivity in Attention-Deficit Hyperactivity Disorder
Sadi Md. Redwan, Md Palash Uddin, Muhammad Imran Sharif, and Anwaar, Ulhaq

TL;DR
This study uses network theory and fMRI data to analyze altered resting-state brain connectivity in adults with ADHD, revealing specific regional differences and abnormal network organization compared to healthy controls.
Contribution
It applies graph-based network analysis to identify specific connectivity abnormalities and network organization differences in ADHD patients' resting brains.
Findings
Lower connectivity in Supramarginal Gyrus and Superior Parietal Lobule in ADHD
Higher connectivity in Lateral Occipital Cortex and Inferior Temporal Gyrus in ADHD
Abnormal network organization of default mode and dorsal attention regions in ADHD
Abstract
In the last two decades, functional magnetic resonance imaging (fMRI) has emerged as one of the most effective technologies in clinical research of the human brain. fMRI allows researchers to study healthy and pathological brains while they perform various neuropsychological functions. Beyond task-related activations, the human brain has some intrinsic activity at a task-negative (resting) state that surprisingly consumes a lot of energy to support communication among neurons. Recent neuroimaging research has also seen an increase in modeling and analyzing brain activity in terms of a graph or network. Since graph models facilitate a systems-theoretic explanation of the brain, they have become increasingly relevant with advances in network science and the popularization of complex systems theory. The purpose of this study is to look into the abnormalities in resting brain functions in…
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Taxonomy
TopicsFunctional Brain Connectivity Studies · EEG and Brain-Computer Interfaces · Mental Health Research Topics
