Frontostriatal salience network expansion in individuals in depression

Frontostriatal salience network expansion in individuals in depression

4 September 2024 | Charles J. Lynch, Immanuel G. Elbau, Tommy Ng, Aliza Ayaz, Shasha Zhu, Danielle Wolk, Nicola Manfredi, Megan Johnson, Megan Chang, Jolin Chou, Indira Summerville, Claire Ho, Maximilian Lueckel, Hussain Bukhari, Derrick Buchanan, Lindsay W. Victoria, Nili Solomonov, Eric Goldwaser, Stefano Moia, Cesar Caballero-Gaudes, Jonathan Downar, Fidel Vila-Rodriguez, Zafirie J. Daskalakis, Daniel M. Blumberger, Kendrick Kay, Amy Aloyis, Evan M. Gordon, Mahendra T. Bhati, Nolan Williams, Jonathan D. Power, Benjamin Zebley, Logan Grosenick, Faith M. Gunning, Conor Liston
This study investigates the expansion of the frontostriatal salience network in individuals with depression using precision functional mapping. The authors found that the salience network is nearly twofold larger in the cortex of most individuals with depression, primarily due to network border shifts affecting three distinct modes of encroachment. This expansion is stable over time, unaffected by mood state, and detectable in children before the onset of depression symptoms. Longitudinal analyses revealed that changes in functional connectivity within the frontostriatal circuits track fluctuations in specific symptoms, such as anhedonia and anxiety, and predict future symptom emergence. The findings suggest that salience network expansion may be a trait-like marker of risk for depression and that changes in frontostriatal connectivity can predict the emergence and remission of depressive symptoms over time.This study investigates the expansion of the frontostriatal salience network in individuals with depression using precision functional mapping. The authors found that the salience network is nearly twofold larger in the cortex of most individuals with depression, primarily due to network border shifts affecting three distinct modes of encroachment. This expansion is stable over time, unaffected by mood state, and detectable in children before the onset of depression symptoms. Longitudinal analyses revealed that changes in functional connectivity within the frontostriatal circuits track fluctuations in specific symptoms, such as anhedonia and anxiety, and predict future symptom emergence. The findings suggest that salience network expansion may be a trait-like marker of risk for depression and that changes in frontostriatal connectivity can predict the emergence and remission of depressive symptoms over time.
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