Frontiers Neural activity in adults with major depressive disorder differs from that in healthy individuals: A resting-state functional magnetic resonance imaging study
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Last updated 10 abril 2025


Frontiers Neural activity in adults with major depressive disorder differs from that in healthy individuals: A resting-state functional magnetic resonance imaging study

Default mode network - Wikipedia

Frontiers Aberrant resting-state regional activity in patients with postpartum depression

Altered electroencephalography resting state network coherence in remitted MDD - ScienceDirect

Frontiers Altered resting-state functional connectivity patterns in late middle-aged and older adults with obstructive sleep apnea

Neural correlates of co-occurring pain and depression: an activation-likelihood estimation (ALE) meta-analysis and systematic review

Frontiers Alteration of whole-brain amplitude of low-frequency fluctuation and degree centrality in patients with mild to moderate depression: A resting-state functional magnetic resonance imaging study

Clinical Correlates of White Matter Findings on Cranial Magnetic Resonance Imaging of 3301 Elderly People

Frontiers A Treatment-Response Comparison Study of Resting-State Functional Magnetic Resonance Imaging Between Standard Treatment of SSRI and Standard Treatment of SSRI Plus Non-dominant Hand-Writing Task in Patients With Major Depressive Disorder

Frontiers Abnormal amplitude of low-frequency fluctuation values as a neuroimaging biomarker for major depressive disorder with suicidal attempts in adolescents: A resting-state fMRI and support vector machine analysis

PDF) Abnormal resting-state cerebral-limbic functional connectivity in bipolar depression and unipolar depression

Frontiers Neural mechanism of the relationship between sleep efficiency and clinical improvement in major depressive disorder: A longitudinal functional magnetic resonance imaging study

Frontiers Resting-State fMRI in Predicting Response to Treatment With SSRIs in First-Episode, Drug-Naive Patients With Major Depressive Disorder

Large Machine-Learning Study Searches for Diagnostic Biomarkers in Major Depressive Disorder
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