Depression is not only heterogenous and episodic but shows specific neurobiological mechanisms linked to symptom domains, yet these remain poorly understood at neural systems level.
Recent advancements in precision functional mapping highlight that individual brain network topology varies significantly from group averages, potentially illuminating variations in depressive symptoms and their treatment.
Current research focuses largely on cross-sectional data, making our grasp of how mood transitions occur over time and the neural substrates underlying them quite limited.
Precision mapping enables the exploration of individual differences in brain connectivity and topology, revealing connections to cognitive abilities and behaviors that necessitate further investigation in depressive populations.
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