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Abstract #0501

Revealing Dynamic Brain Networks in ADHD using Hyperband Resting-State fMRI

Ric John Laboa Ombid1, Paul Condron2, Gil Newburn2, Alan Wang1,3, Hesamoddin Jahanian4, Karen Waldie5,6, Samantha Holdsworth2,3,5, and Justin Fernandez1,2,7
1Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand, 2Mātai Medical Research Institute, Gisborne, New Zealand, 3Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand, 4University of Washington, Seattle, WA, United States, 5Centre for Brain Research, University of Auckland, Auckland, New Zealand, 6Faculty of Science, University of Auckland, Auckland, New Zealand, 7Department of Engineering Science and Biomedical Engineering, Faculty of Engineering, University of Auckland, Auckland, New Zealand

Synopsis

Keywords: fMRI Analysis, fMRI Analysis, ADHD, Hyperband fMRI, dynamic analysis

Motivation: Functional MRI (fMRI) typically employs long repetition times (TR), limiting its ability to capture rapid brain state transitions crucial for understanding dynamic functional connectivity (dFC).

Goal(s): This study aims to improve dFC analysis by using higher temporal resolution Hyperband fMRI.

Approach: We employed Hyperband fMRI (TR = 0.43s) to examine dynamic network engagement in neurotypical (NT) and Attention-Deficit Hyperactivity Disorder (ADHD) participants across two independent brain atlases: Power and Shaefer.

Results: Hyperband fMRI revealed significant dFC differences in ADHD participants with extended engagement in integrated brain states across two independent atlases, demonstrating consistent and robust results.

Impact: Hyperband fMRI with shorter TR demonstrated significant differences in dFC in ADHD. ADHD participants exhibited prolonged engagement, compared with NT, in integrated brain states across two brain atlases, demonstrating efficacy in detecting dynamic neural alterations.

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