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Abstract #3967

Alteration resting state networks functional connectivity associated with Hypothyroidism using Graph theory

Mukesh Kumar1, Poonam Rana1, Tarun Sekhri2, Subash Khushu1, Rajanikant Panda3, Ratnesh Kanwar2, Shilpi Modi1, and Maria Dsouza1
1NMR Research Center, INMAS, Delhi, India, 2Thyroid research Center, INMAS, Delhi, India, 3Cognitive Neuroscience Center, NIMHANS, Bangalore, India

The aim of this study is to explore the alteration RSNs connectivity and its association with underlying neurobehavioral symptoms in hypothyroid as compared to controls and consequences of therapeutic intervention using graph theory-based network analysis. Our finding revealed significantly reduced clustering coefficient, small world connectivity and local network efficiency in hypothyroid as compared to controls in sub-regions FPN, DMN, cingulo-opercular network, SMN and got reversed back in euthyroid patients in the network sub-regions of frontoparietal network, cingulo-opercular network, SMN after thyroxin therapy. These findings of reduced clustering coefficient suggest abated activities of motor, attention, working memory and cognition in hypothyroid.

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