Journal Article

Frontostriatal salience network expansion in individuals in depression

Vila-Rodriguez, Fidel, Ng, Tommy, Chang, Megan, Bhati, Mahendra T., Grosenick, Logan, Elbau, Immanuel G., Lueckel, Maximilian, Liston, Conor, Caballero-Gaudes, Cesar, Zebley, Benjamin, Goldwaser, Eric, Solomonov, Nili, Blumberger, Daniel M., Johnson, Megan, Summerville, Indira, Gordon, Evan M., Moia, Stefano, Power, Jonathan D., Lynch, Charles J., Downar, Jonathan, Buchanan, Derrick, Gunning, Faith M., Bukhari, Hussain, Williams, Nolan, Aloysi, Amy, Zhu, Shasha, Manfredi, Nicola, Daskalakis, Zafiris J., Chou, Jolin, Kay, Kendrick, Ayaz, Aliza, Ho, Claire, Victoria, Lindsay W., Wolk, Danielle

2024

Overview

Decades of neuroimaging studies have shown modest differences in brain structure and connectivity in depression, hindering mechanistic insights or the identification of risk factors for disease onset 1 . Furthermore, whereas depression is episodic, few longitudinal neuroimaging studies exist, limiting understanding of mechanisms that drive mood-state transitions. The emerging field of precision functional mapping has used densely sampled longitudinal neuroimaging data to show behaviourally meaningful differences in brain network topography and connectivity between and in healthy individuals 2 – 4 , but this approach has not been applied in depression. Here, using precision functional mapping and several samples of deeply sampled individuals, we found that the frontostriatal salience network is expanded nearly twofold in the cortex of most individuals with depression. This effect was replicable in several samples and caused primarily by network border shifts, with three distinct modes of encroachment occurring in different individuals. Salience network expansion was stable over time, unaffected by mood state and detectable in children before the onset of depression later in adolescence. Longitudinal analyses of individuals scanned up to 62 times over 1.5 years identified connectivity changes in frontostriatal circuits that tracked fluctuations in specific symptoms and predicted future anhedonia symptoms. Together, these findings identify a trait-like brain network topology that may confer risk for depression and mood-state-dependent connectivity changes in frontostriatal circuits that predict the emergence and remission of depressive symptoms over time. Precision functional mapping shows that the frontostriatal salience network occupies nearly twice as much of the cortex in people with depression, and this was unaffected by mood changes and detected in children before onset of symptoms.

• Publisher: Nature Publishing Group UK,Nature Publishing Group
• Subject: 59 / 59/36 / 631/378/1457 / 631/378/1689 / Adult / Affect - physiology / Anhedonia - physiology / Brain / Brain architecture / Brain mapping / Brain Mapping - methods / Brain Mapping - standards / Child development / Circuits / Cohen's d / Corpus Striatum - diagnostic imaging / Corpus Striatum - pathology / Corpus Striatum - physiopathology / Datasets / Depression - diagnostic imaging / Depression - pathology / Depression - physiopathology / Emotions / Encroachment / Female / Frontal Lobe - diagnostic imaging / Frontal Lobe - pathology / Frontal Lobe - physiopathology / Hedonic response / Humanities and Social Sciences / Humans / Longitudinal Studies / Magnetic Resonance Imaging / Male / Mapping / Medical imaging / Mental depression / Middle Aged / multidisciplinary / Nerve Net - diagnostic imaging / Nerve Net - pathology / Nerve Net - physiopathology / Network topologies / Neural networks / Neural Pathways - diagnostic imaging / Neural Pathways - pathology / Neural Pathways - physiopathology / Neurobiology / Neuroimaging / Remission / Remission (Medicine) / Reproducibility of Results / Risk factors / Salience / Science / Science (multidisciplinary) / Signs and symptoms / Time dependence / Topology / Young Adult