Estimation of the Composition of the Resting State fMRI Networks in Subjects with Mild Depression and Healthy Volunteers

Abstract

Depressive disorders can be associated with changes in not only interaction between neural networks, but also in their composition. Resting state fMRI scanning was performed for 4 min twice for each subject and the results of patients with mild depression (N=15) and healthy subjects (N=19) were analyzed. The fMRI signal was reduced into the independent components and the contrasts between the groups and between the first and second records were constructed for each component. During the first scanning, the auditory network of individuals with depression involved greater volume in the left insular region and lower volume in the right hemisphere. In record 2, depression patients were characterized by expansion of the executive network in the left hemisphere in the region of the middle and inferior frontal cortex. In healthy people, from record 1 to record 2, representation of the dorsal default mode network (DMN) increased in the left medial prefrontal area, the precuneus network expanded in the left hemisphere, and presentation of the ventral DMN in the right precuneus decreased. In the depression group, the auditory network lost some part of the left temporo-insular cortex; the sensorimotor network expanded in the left hemisphere to the cerebellum or to the central parietal region depending on the evaluation method, and the visuospatial network included or excluded a cluster in the left parietal lobe (in different points). Our findings indicate that connection of the auditory network with the left insular cortex could be a possible depression marker and also demonstrate a possibility of evaluating the composition of cerebral networks in intergroup comparisons and in dynamics without interventions.

Altered effective connectivity in sensorimotor cortices is a signature of severity and clinical course in depression

“…At the same significance level, the χ 2 analyses failed to show significant differences between two groups in terms of sex ratio and mild/moderate depression ratio. It is noteworthy that here data from a subset of participants from the present study have been published (46,109,110). However, those works mainly employed a data-driven approach based on independent component analysis decomposition of the whole-brain data and correlation-based (undirected) functional connectivity analysis unlike the current study that tests a specific hypothesis by investigating (directed) effective connectivity in functionally characterized brain regions.…”

Objective biomarkers of depression: A study of Granger causality and wavelet coherence in resting‐state fMRI

“…The dataset, containing a total of 72 subjects, was obtained from OpenNeuro.org. 24 The participant selection as well as the image acquisition were performed by Bezmaternykh et ZSRDS, Zung Self-Rating Depression Scale. 30. presented in detail in their study.…”

The Top 100 Cited Articles on Acupuncture in the Last 20 Years: A Bibliometric Analysis

“…Later, some researchers studied the effects of traditional Chinese acupuncture on human cerebellar circuits and demonstrated the ability of acupuncture to elicit an integrated brain-cerebellar and related limbic system response [51,81]. Furthermore, scientists have studied the fMRI effects of different frequencies of electroacupuncture versus manual acupuncture [53,85,86], the effects of shallow versus deep acupuncture on brain imaging [87], whether "de qi" has similarities and differences in brain function signals [88][89][90], brain imaging signals at different acupuncture points [91][92][93][94], changes in data from real acupuncture versus placebo acupuncture [54,95,96], differences between patients to healthy people [97,98], and differences between different diseases [56,96,99,100]. It is well known that acupuncture analgesia is uniquely temporal in nature, and analgesic onset may be delayed long after active stimulation [101].…”