Submission Type

Poster

Abstract

The Topographical Individualized Neuromarkers (TIN) project uses an innovative approach to analyze topographical patterns of brain function to discover biomarkers for mental health. In previous studies, neurotypically developing children show a distinct nonlinear connectivity pattern from the Anterior Cingulate Cortex (ACC) to the insula, with a maximum at the mid-dorsal ACC, compared to those at risk for anxiety who show a decreased, more linear pattern within these regions (Taber-Thomas et al., 2016). In the current study, we focus on the topographical functional connectivity patterns in children with attention-deficit/ hyperactivity disorder (ADHD) across the limbic system, a composition of different neural networks working together to process and control emotions, memory, and behavior (Catani et al., 2013). We analyzed a large, publicly available fMRI dataset (ADHD-200 Preprocessed; Bellec et al., 2017), with a total of 677 participants: 241 ADHD (gender: 189M/ 52F) and 436 typically developing (TD; gender: 232M / 204F). We also examined the topographical pattern in typically developing adults sourced from Neurosynth. We expect that the fMRI functional connectivity in participants with ADHD will show higher connectivity in the dorsal anterior cingulate, a network that regulates emotions, compared to typically developing participants. This approach is still very new and is an exploratory analysis that could help us further discover connectivity patterns along specific brain regions among other neurodivergent disorders. Our findings aim to enhance understanding of ADHD’s neural mechanisms and encourage further biomarker research.

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Sponsored by Bradley Taber-Thomas

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200 - Topographical Individualized Neuromarkers in Children With and Without Attention-Deficit/ Hyperactivity Disorder

The Topographical Individualized Neuromarkers (TIN) project uses an innovative approach to analyze topographical patterns of brain function to discover biomarkers for mental health. In previous studies, neurotypically developing children show a distinct nonlinear connectivity pattern from the Anterior Cingulate Cortex (ACC) to the insula, with a maximum at the mid-dorsal ACC, compared to those at risk for anxiety who show a decreased, more linear pattern within these regions (Taber-Thomas et al., 2016). In the current study, we focus on the topographical functional connectivity patterns in children with attention-deficit/ hyperactivity disorder (ADHD) across the limbic system, a composition of different neural networks working together to process and control emotions, memory, and behavior (Catani et al., 2013). We analyzed a large, publicly available fMRI dataset (ADHD-200 Preprocessed; Bellec et al., 2017), with a total of 677 participants: 241 ADHD (gender: 189M/ 52F) and 436 typically developing (TD; gender: 232M / 204F). We also examined the topographical pattern in typically developing adults sourced from Neurosynth. We expect that the fMRI functional connectivity in participants with ADHD will show higher connectivity in the dorsal anterior cingulate, a network that regulates emotions, compared to typically developing participants. This approach is still very new and is an exploratory analysis that could help us further discover connectivity patterns along specific brain regions among other neurodivergent disorders. Our findings aim to enhance understanding of ADHD’s neural mechanisms and encourage further biomarker research.

 

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