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Tao Li

Researcher at Sichuan University

Publications -  4
Citations -  381

Tao Li is an academic researcher from Sichuan University. The author has contributed to research in topics: Default mode network & Medicine. The author has an hindex of 2, co-authored 4 publications receiving 155 citations.

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Reduced default mode network functional connectivity in patients with recurrent major depressive disorder.

TL;DR: It is found that default mode network functional connectivity remains a prime target for understanding the pathophysiology of depression, with particular relevance to revealing mechanisms of effective treatments, and reduced rather than increased FC within the DMN is found.
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Reduced Default Mode Network Functional Connectivity in Recurrent Patients with Major Depressive Disorder: Evidence from 25 Cohorts

TL;DR: The REST-meta-MDD Project of resting-state fMRI (R-fMRI) as mentioned in this paper investigated the functional connectivity (FC) within the default mode network (DMN), frequently reported to show increased FC in Major Depressive Disorder (MDD).
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Reduced Default Mode Network Functional Connectivity in Patients with Recurrent Major Depressive Disorder

TL;DR: Wang et al. as mentioned in this paper found decreased default mode network functional connectivity in depressed patients, driven by patients with recurrent depression, and associated with current medication treatment but not with disease duration.
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Reduced but not Enhanced Default Mode Network Functional Connectivity in Major Depressive Disorder: Evidence from 25 Cohorts in the REST-meta-MDD Project

TL;DR: The pooled R-fMRI metrics of the REST-meta-MDD Project provide an unprecedented opportunity to investigate the key neural underpinnings of MDD and call for longitudinal brain imaging studies to understand the effects of medications, illness duration and severity.