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1.
Nature ; 633(8030): 624-633, 2024 Sep.
Article in English | MEDLINE | ID: mdl-39232159

ABSTRACT

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 onset1. 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 individuals2-4, 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.


Subject(s)
Brain Mapping , Corpus Striatum , Depression , Frontal Lobe , Nerve Net , Neural Pathways , Adult , Female , Humans , Male , Middle Aged , Young Adult , Affect/physiology , Anhedonia/physiology , Brain Mapping/methods , Brain Mapping/standards , Corpus Striatum/diagnostic imaging , Corpus Striatum/pathology , Corpus Striatum/physiopathology , Depression/diagnostic imaging , Depression/pathology , Depression/physiopathology , Frontal Lobe/diagnostic imaging , Frontal Lobe/pathology , Frontal Lobe/physiopathology , Longitudinal Studies , Magnetic Resonance Imaging , Nerve Net/diagnostic imaging , Nerve Net/pathology , Nerve Net/physiopathology , Neural Pathways/diagnostic imaging , Neural Pathways/pathology , Neural Pathways/physiopathology , Reproducibility of Results
2.
Neuron ; 112(3): 473-487.e4, 2024 Feb 07.
Article in English | MEDLINE | ID: mdl-37963470

ABSTRACT

Effort valuation-a process for selecting actions based on the anticipated value of rewarding outcomes and expectations about the work required to obtain them-plays a fundamental role in decision-making. Effort valuation is disrupted in chronic stress states and is supported by the anterior cingulate cortex (ACC), but the circuit-level mechanisms by which the ACC regulates effort-based decision-making are unclear. Here, we show that ACC neurons projecting to the nucleus accumbens (ACC-NAc) play a critical role in effort valuation behavior in mice. Activity in ACC-NAc cells integrates both reward- and effort-related information, encoding a reward-related signal that scales with effort requirements and is necessary for supporting future effortful decisions. Chronic corticosterone exposure reduces motivation, suppresses effortful reward-seeking, and disrupts ACC-NAc signals. Together, our results delineate a stress-sensitive ACC-NAc circuit that supports effortful reward-seeking behavior by integrating reward and effort signals and reinforcing effort allocation in the service of maximizing reward.


Subject(s)
Motivation , Nucleus Accumbens , Mice , Animals , Nucleus Accumbens/physiology , Reward , Neurons/physiology , Gyrus Cinguli/physiology , Decision Making/physiology
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