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Abstract Attention Deficit Hyperactivity Disorder (ADHD) is a prominent neurodevelopmental disorder impacting children and adults. Routinely subjective observations and behavioral assessments used in ADHD diagnosis can lead to false diagnoses and lagged treatments. Mounting proof in neuroimaging, specially resting-state Functional resonance imaging (rs-fMRI), has allowed for a more comprehensive understanding of the functional brain network abnormalities associated with ADHD, posing significant targets for future treatments. Human Brain intrinsically consists of Resting-State Networks (RSNs), which have recently shown great promise as a strategy for locating ADHD biomarkers. The spatial components of these RSNs could be defined using several human brain functional atlases that pose Atlases consensus problem. This paper (1) introduces a novel framework for evaluating ADHD-specific experimental system validity, providing a comprehensive approach to assessing ADHD research reliability and applicability. This strategy could im-prove ADHD research by integrating predetermined brain atlases. (2) tackles a quantitative comparison of the six RSNs mostly stated in the literature (Auditory, Cognitive Control, Dorsal, Default Mode, Sensorimotor, and Ventral Attention) Networks) across a total of six elected independent functional brain atlases. (3) presents a new brain reference, “Hexa-Net”, based on the most trusted atlases to promote RSN reproducibility in future ADHD investigations. We will recruit a sample of ADHD and Typical development individuals from the ADHD-200 dataset. The results of this study will contribute to the development of more accurate and objective diagnostic tools for ADHD, which could improve treatment outcomes and quality of life for individuals with this disorder.

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