Brain Networks Connectivity in Mild to Moderate Depression: Resting State fMRI Study with Implications to Nonpharmacological Treatment
Network mechanisms of depression development and especially of improvement from nonpharmacological treatment remain understudied. The current study is aimed at examining brain networks functional connectivity in depressed patients and its dynamics in nonpharmacological treatment. Resting state fMRI...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Neural Plasticity |
| Online Access: | http://dx.doi.org/10.1155/2021/8846097 |
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| author | Dmitry D. Bezmaternykh Mikhail Ye. Melnikov Andrey A. Savelov Lyudmila I. Kozlova Evgeniy D. Petrovskiy Kira A. Natarova Mark B. Shtark |
| author_facet | Dmitry D. Bezmaternykh Mikhail Ye. Melnikov Andrey A. Savelov Lyudmila I. Kozlova Evgeniy D. Petrovskiy Kira A. Natarova Mark B. Shtark |
| author_sort | Dmitry D. Bezmaternykh |
| collection | DOAJ |
| description | Network mechanisms of depression development and especially of improvement from nonpharmacological treatment remain understudied. The current study is aimed at examining brain networks functional connectivity in depressed patients and its dynamics in nonpharmacological treatment. Resting state fMRI data of 21 healthy adults and 51 patients with mild or moderate depression were analyzed with spatial independent component analysis; then, correlations between time series of the components were calculated and compared between-group (study 1). Baseline and repeated-measure data of 14 treated (psychotherapy or fMRI neurofeedback) and 15 untreated depressed participants were similarly analyzed and correlated with changes in depression scores (study 2). Aside from diverse findings, studies 1 and 2 both revealed changes in within-default mode network (DMN) and DMN to executive control network (ECN) connections. Connectivity in one pair, initially lower in depression, decreased in no treatment group and was inversely correlated with Montgomery-Asberg depression score change in treatment group. Weak baseline connectivity in this pair also predicted improvement on Montgomery-Asberg scale in both treatment and no treatment groups. Coupling of another pair, initially stronger in depression, increased in therapy though was unrelated to improvement. The results demonstrate possible role of within-DMN and DMN-ECN functional connectivity in depression treatment and suggest that neural mechanisms of nonpharmacological treatment action may be unrelated to normalization of initially disrupted connectivity. |
| format | Article |
| id | doaj-art-1771866416ab4c439ffca4c3eca04eb3 |
| institution | Kabale University |
| issn | 2090-5904 1687-5443 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Neural Plasticity |
| spelling | doaj-art-1771866416ab4c439ffca4c3eca04eb32025-02-03T01:24:38ZengWileyNeural Plasticity2090-59041687-54432021-01-01202110.1155/2021/88460978846097Brain Networks Connectivity in Mild to Moderate Depression: Resting State fMRI Study with Implications to Nonpharmacological TreatmentDmitry D. Bezmaternykh0Mikhail Ye. Melnikov1Andrey A. Savelov2Lyudmila I. Kozlova3Evgeniy D. Petrovskiy4Kira A. Natarova5Mark B. Shtark6Laboratory of Biofeedback Computer Systems, Institute of Molecular Biology and Biophysics, Federal Research Center of Fundamental and Translational Medicine, Novosibirsk 630060, RussiaLaboratory of Biofeedback Computer Systems, Institute of Molecular Biology and Biophysics, Federal Research Center of Fundamental and Translational Medicine, Novosibirsk 630060, RussiaInternational Tomography Center SB RAS, Novosibirsk 630090, RussiaLaboratory of Biofeedback Computer Systems, Institute of Molecular Biology and Biophysics, Federal Research Center of Fundamental and Translational Medicine, Novosibirsk 630060, RussiaInternational Tomography Center SB RAS, Novosibirsk 630090, RussiaInternational Institute of Psychology and Psychotherapy, Novosibirsk 630007, RussiaLaboratory of Biofeedback Computer Systems, Institute of Molecular Biology and Biophysics, Federal Research Center of Fundamental and Translational Medicine, Novosibirsk 630060, RussiaNetwork mechanisms of depression development and especially of improvement from nonpharmacological treatment remain understudied. The current study is aimed at examining brain networks functional connectivity in depressed patients and its dynamics in nonpharmacological treatment. Resting state fMRI data of 21 healthy adults and 51 patients with mild or moderate depression were analyzed with spatial independent component analysis; then, correlations between time series of the components were calculated and compared between-group (study 1). Baseline and repeated-measure data of 14 treated (psychotherapy or fMRI neurofeedback) and 15 untreated depressed participants were similarly analyzed and correlated with changes in depression scores (study 2). Aside from diverse findings, studies 1 and 2 both revealed changes in within-default mode network (DMN) and DMN to executive control network (ECN) connections. Connectivity in one pair, initially lower in depression, decreased in no treatment group and was inversely correlated with Montgomery-Asberg depression score change in treatment group. Weak baseline connectivity in this pair also predicted improvement on Montgomery-Asberg scale in both treatment and no treatment groups. Coupling of another pair, initially stronger in depression, increased in therapy though was unrelated to improvement. The results demonstrate possible role of within-DMN and DMN-ECN functional connectivity in depression treatment and suggest that neural mechanisms of nonpharmacological treatment action may be unrelated to normalization of initially disrupted connectivity.http://dx.doi.org/10.1155/2021/8846097 |
| spellingShingle | Dmitry D. Bezmaternykh Mikhail Ye. Melnikov Andrey A. Savelov Lyudmila I. Kozlova Evgeniy D. Petrovskiy Kira A. Natarova Mark B. Shtark Brain Networks Connectivity in Mild to Moderate Depression: Resting State fMRI Study with Implications to Nonpharmacological Treatment Neural Plasticity |
| title | Brain Networks Connectivity in Mild to Moderate Depression: Resting State fMRI Study with Implications to Nonpharmacological Treatment |
| title_full | Brain Networks Connectivity in Mild to Moderate Depression: Resting State fMRI Study with Implications to Nonpharmacological Treatment |
| title_fullStr | Brain Networks Connectivity in Mild to Moderate Depression: Resting State fMRI Study with Implications to Nonpharmacological Treatment |
| title_full_unstemmed | Brain Networks Connectivity in Mild to Moderate Depression: Resting State fMRI Study with Implications to Nonpharmacological Treatment |
| title_short | Brain Networks Connectivity in Mild to Moderate Depression: Resting State fMRI Study with Implications to Nonpharmacological Treatment |
| title_sort | brain networks connectivity in mild to moderate depression resting state fmri study with implications to nonpharmacological treatment |
| url | http://dx.doi.org/10.1155/2021/8846097 |
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