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Abstract #3341

Older Brain Age Prediction Using Functional Brain Network Efficiency Linked to Early Disorder Onset among Depression and Epilepsy Patients

Yael Jacob1, Gaurav Verma1, Laurel S Morris1, Lara Marcuse1, Madeline Fields1, James W Murrough W Murrough1, and Priti Balchandani1
1Icahn School of Medicine at Mount Sinai, New York, NY, United States

Synopsis

Keywords: Brain Connectivity, AgingBrain network organization, and specifically its efficiency, is known to be associated with age, implying older brain exhibit reduced network efficiency. Using resting-state functional magnetic resonance imaging, we investigate if estimated brain age according to functional network efficiency is deviant from chronological age in major depressive disorder (MDD) and Epilepsy patients (EP). Global network efficiency significantly predicted chronological age among HC. Importantly, we found the differences between predicted and true brain age among MDD and EP patients were significantly associated with age at onset, indicating that the prediction of an older age brain is associated with early age disorder onset.

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Keywords