Peculiarities in Interaction of Independent Components of Resting-State fMRI Signal in Patients with Mild Depressions

Мельников, М. Е.; Безматерных, Д. Д.; Петровский, Е. Д.; Kozlova, L I; Штарк, М. Б.; Савелов, А. А.; Шубина, О. С.; Natarova, K A

doi:10.1007/s10517-017-3837-4

Cited by 5 publications

(4 citation statements)

References 15 publications

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“…Four networks have been the focus of most of the published research in this area: the affective network (AN), reward network (RN), DMN, and CCN. Hyperconnectivity among the regions of AN ( 12 , 14 ) and DMN ( 6 , 10 , 13 , 16 , 46 ) has been consistently reported in depression. Enhanced resting state functional connectivity in AN and DMN has been postulated to be associated with negative affectivity and maladaptive rumination in depression patients.…”

Section: Discussionmentioning

confidence: 96%

“…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.…”

Section: Methodsmentioning

confidence: 99%

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

Ray

Безматерных

Мельников

et al. 2021

Proc. Natl. Acad. Sci. U.S.A.

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Functional neuroimaging research on depression has traditionally targeted neural networks associated with the psychological aspects of depression. In this study, instead, we focus on alterations of sensorimotor function in depression. We used resting-state functional MRI data and dynamic causal modeling (DCM) to assess the hypothesis that depression is associated with aberrant effective connectivity within and between key regions in the sensorimotor hierarchy. Using hierarchical modeling of between-subject effects in DCM with parametric empirical Bayes we first established the architecture of effective connectivity in sensorimotor cortices. We found that in (interoceptive and exteroceptive) sensory cortices across participants, the backward connections are predominantly inhibitory, whereas the forward connections are mainly excitatory in nature. In motor cortices these parities were reversed. With increasing depression severity, these patterns are depreciated in exteroceptive and motor cortices and augmented in the interoceptive cortex, an observation that speaks to depressive symptomatology. We established the robustness of these results in a leave-one-out cross-validation analysis and by reproducing the main results in a follow-up dataset. Interestingly, with (nonpharmacological) treatment, depression-associated changes in backward and forward effective connectivity partially reverted to group mean levels. Overall, altered effective connectivity in sensorimotor cortices emerges as a promising and quantifiable candidate marker of depression severity and treatment response.

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Section: Discussionmentioning

confidence: 96%

Section: Methodsmentioning

confidence: 99%

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

Ray

Безматерных

Мельников

et al. 2021

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

show abstract

“…Four networks have been the focus of most of the published research in this area: the affective network (AN), the reward network (RN), the default mode network (DMN), and the cognitive control network (CCN). Hyperconnectivity among the regions of AN [12, 14] and DMN [6, 10, 13, 15, 35] has been consistently reported in depression. Enhanced resting state functional connectivity in AN and DMN has been postulated to be associated with negative affectivity and maladaptive rumination in depression patients.…”

Section: Discussionmentioning

confidence: 99%

“…It is noteworthy here, data from a subset of participants from the present study has been published (46,108,109). However, those works mainly employed a data-driven approach based on independent component analysis (ICA) 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 characterised brain regions.…”

mentioning

confidence: 99%

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

Ray

Безматерных

Мельников

et al. 2021

Preprint

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Functional neuroimaging research on depression has traditionally targeted neural networks associated with the psychological aspects of depression. In this study, in stead, we focus on alterations of sensorimotor function in depression. We used resting-state functional MRI data and Dynamic Causal Modeling (DCM) to assess the hypothesis that depression is associated with aberrant effective connectivity within and between key regions in the sensorimotor hierarchy. Using hierarchical modeling of between-subject effects in DCM with Parametric Empirical Bayes we first established the architecture of effective connectivity in sensorimotor cortices. We found that in (interoceptive and exteroceptive) sensory cortices across participants, the backward connections are predominantly inhibitory whereas the forward connections are mainly excitatory in nature. In the motor cortices these parities were reversed. With increasing depression severity, these patterns are depreciated in exteroceptive and motor cortices and augmented in interoceptive cortex: an observation that speaks to depressive symptomatology. We established the robustness of these results in a leave-one-out cross validation analysis and by reproducing the main results in a follow-up dataset. Interestingly, with (non-pharmacological) treatment, depression associated changes in backward and forward effective connectivity partially reverted to group mean levels. Overall, altered effective connectivity in sensorimotor cortices emerges as a promising and quantifiable candidate marker of depression severity and treatment response.

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Spontaneous Changes in Functional Connectivity of Independent Components of fMRI Signal in Healthy Volunteers at Rest and in Subjects with Mild Depression

et al. 2018

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Depression is associated with changes in the pattern of interaction of cerebral networks, which can reflect both existing symptoms and compensatory processes. The study is based on analysis of resting state fMRI data from 15 patients with mild depression and 19 conventionally healthy individuals. From fMRI signal recorded at rest for 4 min, the independent components were reconstructed. The intergroup differences and dynamics of functional connectivity from the first to the second recording were analyzed. Initially, depressive patients demonstrated weaker connectivity between cerebellar declive network (CN) and left central executive network (CEN) and also sensorimotor network (SMN); left CEN and primary visual network (PVN). During the second recording, the patients demonstrated more intensive reciprocal connection of the dorsal domain of default mode network (DMN) and auditory network (AN). In healthy subjects, positive correlations of the dorsal DMN and left CEN, right CEN and CN, and negative correlation of dorsal DMN and visuospatial network weakened from the first to second record. In the depression group, the interaction of AN with PVN, the right CEN with the anterior salience network and with ventral DMN weakened. At the same time, the connectivity between SMN and CN were strengthened. The results can be interpreted as spontaneous normalization of brain activity, but no direct evidence for their relation to the improvement of depression symptoms was found.

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Peculiarities in Interaction of Independent Components of Resting-State fMRI Signal in Patients with Mild Depressions

Cited by 5 publications

References 15 publications

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

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

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

Spontaneous Changes in Functional Connectivity of Independent Components of fMRI Signal in Healthy Volunteers at Rest and in Subjects with Mild Depression

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