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Abstract #4304

Revisiting the role of structural connectivity in thalamic nuclei segmentation

Daniel H Nguyen1, Vinod Jangir Kumar2, Dianne Patterson3, and Manojkumar Saranathan1
1Radiology, UMass Chan Medical School, Worcester, MA, United States, 2Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 3University of Arizona, Tucson, AZ, United States

Synopsis

Keywords: Segmentation, Segmentation, thalamic parcellation connectivity-based parcellation

Motivation: Comparing, contrasting and, combining structural and connectivity based parcellation for thalamic nuclei

Goal(s): To parcellate the thalamus using thalamo-cortical connectivity from high-resolution DTI data and state-of-the-art reconstruction and to subdivide pulvinar and mediodorsal thalamus.

Approach: Structural T1 and DTI data from 63 HCP young adult subjects were analyzed. Probabilistic tractography followed by a winner-take-all strategy was employed to segment the thalamus based on cortical connections.

Results: In addition to global parcellation into 8 or 23 regions, distinct subdivisions within the MD and pulvinar nuclei were also identified. However, connectivity-based methods showed limitations in anatomical accuracy compared to anatomical multi-atlas approaches (THOMAS).

Impact: These results advance our understanding of thalamic connectivity, potentially guiding targeted clinical interventions and personalized therapies for neurological conditions. This study enables future research on connectivity-driven parcellation techniques, raising questions about refining segmentation for enhanced anatomical accuracy.

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Keywords