Functional MRI in Depression—Multivariate Analysis of Emotional Task

Kandilarova, Sevdalina; Stoyanov, Drozdstoy; Stoeva, Magdalena; Latypova, Adeliya; Kherif, Ferath

doi:10.1007/s40846-020-00547-2

Cited by 9 publications

(6 citation statements)

References 56 publications

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“…Our previous research has delivered evidence that different clinical psychological diagnostic tests have specific functional neural correlates [52][53][54].…”

Section: Discussionmentioning

confidence: 99%

Functional MRI Correlates of Stroop N-Back Test Underpin the Diagnosis of Major Depression

Simeonova¹,

Paunova²,

Stoyanova³

et al. 2022

J. Integr. Neurosci.

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Introduction:In the current study, we used the Stroop Color and Word Test (SCWT) combined with an n-back component in functional magnetic resonance imaging (fMRI) in order to activate the working memory and cognitive interference in patients with Major Depressive Disorder (MDD) as compared to healthy controls. Our hypothesis was that there would be significant alterations in the selective visual attention processing regions of the brain which may identify mechanisms underlying major depression. Materials and Methods: Fifty participants, of which 24 were patients with depression and 26 healthy controls were recruited. Results: The first major finding of the current study was hypoactivation in the lingual gyrus during the condition with instructions to track the sequence of the words (word>color) of the Stroop n-back task and hyperactivation of the same structure in the opposite (color>word) condition where subjects had to focus on the order of the word color in depressed patients as compared to healthy controls. Conclusions: Changes in these regions have been consistently reported across studies with different fMRI techniques in both adolescent and adult patients with MDD reinforcing the role of the region in the pathophysiology of depression. Further studies are needed to examine possible longitudinal changes in the region and its activity in remission.

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“…Our previous research has delivered evidence that different clinical psychological diagnostic tests have specific functional neural correlates [52][53][54].…”

Section: Discussionmentioning

confidence: 99%

Functional MRI Correlates of Stroop N-Back Test Underpin the Diagnosis of Major Depression

Simeonova¹,

Paunova²,

Stoyanova³

et al. 2022

J. Integr. Neurosci.

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“…Depression leads to a high suicide rate and a high death rate. But the disease can be cured if recognized in time [5][6][7][8][9]. Therefore, it is especially important to build an objective and effective depression recognition system.…”

Section: Introductionmentioning

confidence: 99%

Elderly Depression Recognition Based on Facial Micro-Expression Extraction

Huang¹

2021

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Depression leads to a high suicide rate and a high death rate. But the disease can be cured if recognized in time. At present, there are only a few low-precision methods for recognizing mental health or mental disorder. Therefore, this paper attempts to recognize elderly depression by extracting facial micro-expressions. Firstly, a micro-expression recognition model was constructed for elderly depression recognition. Then, a jump connection structure and a feature fusion module were introduced to VGG-16 model, realizing the extraction and classification of micro-expression features. After that, a quantitative evaluation approach was proposed for micro-expressions based on the features of action units, which improves the recognition accuracy of elderly depression expressions. Finally, the advanced features related to the dynamic change rate of depression micro-expressions were constructed, and subjected to empirical modal decomposition (EMD) and Hilbert analysis. The effectiveness of our algorithm was proved through experiments.

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“…At present, a series of paradigm studies, including risk gambling and probabilistic reinforcement learning, have recorded the value-based decision-making defects of patients with the VMPFC disease ( 49 – 51 ). A study reported less activation of VMPFC in depressed patients under negative conditions ( 52 ). Animal studies have also proved the important role of the OFC in coding reward values ( 53 – 55 ).…”

Section: Discussionmentioning

confidence: 99%

Alterations of Static and Dynamic Functional Connectivity of the Nucleus Accumbens in Patients With Major Depressive Disorder

et al. 2022

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BackgroundMajor depressive disorder (MDD) is associated with dysfunction of the reward system. As an important node in the reward system, the resting-state functional connectivity of the nucleus accumbens (NAc) is related to the etiology of MDD. However, an increasing number of recent studies propose that brain activity is dynamic over time, no study to date has examined whether the NAc dynamic functional connectivity (DFC) is changed in patients with MDD. Moreover, few studies have examined the impact of the clinical characteristics of patients with MDD.MethodsA total of 220 MDD patients and 159 healthy controls (HCs), group-matched for age, sex, and education level, underwent resting-state functional magnetic resonance imagining (rs-fMRI) scans. Seed-based resting-state functional connectivity (RSFC) and DFC of the NAc were conducted. Two sample t-tests were performed to alter RSFC/DFC of NAc. In addition, we examined the association between altered RSFC/DFC and depressive severity using Pearson correlation. Finally, we divided patients with MDD into different subgroups according to clinical characteristics and tested whether there were differences between the subgroups.ResultsCompared with the HCs, MDD patients show reduced the NAc-based RSFC with the dorsolateral prefrontal cortex (DLPFC), hippocampus, middle temporal gyrus (MTG), inferior temporal gyrus (ITG), precuneus, and insula, and patients with MDD show reduced the NAc-based DFC with the DLPFC, ventromedial prefrontal cortex (VMPFC), ventrolateral prefrontal cortex (VLPFC), MTG, ITG, and insula. MDD severity was associated with RSFC between the NAc and precentral gyrus (r = 0.288, p = 0.002, uncorrected) and insula (r = 0.272, p = 0.003, uncorrected).ConclusionThis study demonstrates abnormal RSFC and DFC between the NAc and distributed cerebral regions in MDD patients, characterized by decreased RSFC and DFC of the NAc connecting with the reward, executive, default-mode, and salience network. Our results expand previous descriptions of the NAc RSFC abnormalities in MDD, and the altered RSFC/DFC may reflect the disrupted function of the NAc.

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Functional MRI in Depression—Multivariate Analysis of Emotional Task

Cited by 9 publications

References 56 publications

Functional MRI Correlates of Stroop N-Back Test Underpin the Diagnosis of Major Depression

Functional MRI Correlates of Stroop N-Back Test Underpin the Diagnosis of Major Depression

Elderly Depression Recognition Based on Facial Micro-Expression Extraction

Alterations of Static and Dynamic Functional Connectivity of the Nucleus Accumbens in Patients With Major Depressive Disorder

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