Neuronal response to high negative affective stimuli in major depressive disorder: An fMRI study

Trettin, Marco; Dvořák, J.; Hilke, Marietheres; Wenzler, Sofia; Hagen, Marleen; Ghirmai, Naddy; Stäblein, Michael; Matura, Silke; Huthmacher, Ann-Caitlin; Kraft, Dominik; Balaban, Ceylan; Ciaramidaro, Angela; Prvulovic, David; Knöchel, Christian; Reif, Andreas; Oertel, Viola

doi:10.1016/j.jad.2021.10.123

Cited by 11 publications

(7 citation statements)

References 31 publications

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“…PMC abnormality in MDD might be induced by anhedonia and reward processing 39,40 . Moreover, PMC presented lower activation during emotional stimuli in MDD, prompting disturbed emotion processing underlying MDD further 41 . Interestingly, interactive effects in the parietal lobe were found.…”

Section: Discussionmentioning

confidence: 92%

“…39,40 Moreover, PMC presented lower activation during emotional stimuli in MDD, prompting disturbed emotion processing underlying MDD further. 41 Interestingly, interactive effects in the parietal lobe were found. CBF in the parietal lobe, including S1 and PCC, was negatively associated with the severity of depression and childhood maltreatment in MDD.…”

Section: Discussionmentioning

confidence: 99%

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Resting‐state cerebral blood flow and functional connectivity abnormalities in depressed patients with childhood maltreatment: Potential biomarkers of vulnerability?

Liu,

Fan,

et al. 2023

Psychiatry Clin Neurosci

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AimChildhood maltreatment (CM) is an important risk factor for major depressive disorder (MDD). This study aimed to explore the specific effect of CM on cerebral blood flow (CBF) and brain functional connectivity (FC) in MDD patients.MethodsA total of 150 subjects were collected including 55 MDD patients with CM, 34 MDD patients without CM, 19 healthy controls (HC) with CM, and 42 HC without CM. All subjects completed MRI scans and neuropsychological tests. Two‐way analysis of covariance was employed to detect the main and interactive effects of disease and CM on CBF and FC across subjects. Then, partial correlation analyses were conducted to explore the behavioral significance of altered CBF and FC in MDD patients. Finally, a support vector classifier model was applied to differentiate MDD patients.ResultsMDD patients represented increased CBF in bilateral temporal lobe and decreased CBF in right visual cortex. Importantly, significant depression‐by‐CM interactive effects on CBF were primarily located in the frontoparietal regions, including orbitofrontal cortex (OFC), lateral prefrontal cortex (PFC), and parietal cortex. Moreover, significant FC abnormalities were seen in OFC‐PFC and frontoparietal‐visual cortex. Notably, the abnormal CBF and FC were significantly associated with behavioral performance. Finally, a combination of altered CBF and FC behaved with a satisfactory classific ability to differentiate MDD patients.ConclusionsThese results highlight the importance of frontoparietal and visual cortices for MDD with CM experience, proposing a potential neuroimaging biomarker for MDD identification.This article is protected by copyright. All rights reserved.

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Section: Discussionmentioning

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Resting‐state cerebral blood flow and functional connectivity abnormalities in depressed patients with childhood maltreatment: Potential biomarkers of vulnerability?

Liu,

Fan,

et al. 2023

Psychiatry Clin Neurosci

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“…We further pseudo-randomize the picture presentation orders across participants so that no one can predict the picture type before viewing it. According to existing experiments on IAPS, [69][70][71] each stimulus was allowed to display for 3 s for invoking emotional changes. The screen transforms into a blank page for participants to finish five questions within 15 s between two stimuli.…”

Section: Methodsmentioning

confidence: 99%

EmoSense: Revealing True Emotions Through Microgestures

Fang¹,

Xing

Long

et al. 2023

Advanced Intelligent Systems

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Stress is a universally ubiquitous emotional state that takes place everywhere and microgestures (MGs) have been verified to indicate more accurate hidden emotions. However, only limited studies attempted to explore how MGs could reflect stress levels. Herein, EmoSense, an emerging technology for wearable systems containing a three‐layer stress detection mechanism, is proposed: 1) converting the MGs into digital signals; 2) training a machine learning‐based MG detection model; and 3) configuring the stress level based on the MG frequency. To detect the MGs, the swept frequency capacitive sensing technology to is adopted capture the MG signals and the random forest model to detect the MGs effectively is applied. 16 participants are recruited in the pilot study to verify the correlation between stress level and MG frequency. The experimental results further verify that stress level is highly related to other negative emotions that should be studied while handling high stress levels.

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“…Over the past 30 years, functional magnetic resonance imaging (fMRI) studies have significantly increased our understanding of the neural mechanisms underlying MDD by measuring functional brain activity in MDD patients (Keren et al, 2018; Wang et al, 2015). However, the main problem across experiments of task-fMRI studies in MDD is that the results cannot be replicated to a large extent (Lemke et al, 2022; Li et al, 2022; Trettin et al, 2022). To date, heterogeneity, small sample sizes and differences in analytical methods (e.g., region-of-interest (ROI) or whole-brain analyses) have resulted in inconsistency in data collection and analysis.…”

Section: Introductionmentioning

confidence: 99%

Common And Distinct Patterns Of Task-Related Neural Activation Abnormalities In Patients With Remitted And Current Major Depressive Disorder: A Systematic Review And Coordinate-Based Meta-Analysis

Wang

et al. 2023

Preprint

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Whether remitted major depressive disorder (rMDD) and MDD present common or distinct neuropathological mechanisms remains unclear. We performed a meta-analysis of task-related whole-brain functional magnetic resonance imaging (fMRI) using anisotropic effect-size signed differential mapping software to compare brain activation between rMDD/MDD patients and healthy controls (HCs). We included 18 rMDD studies (458 patients and 476 HCs) and 120 MDD studies (3746 patients and 3863 HCs). The results showed that MDD and rMDD patients shared increased neural activation in the right temporal pole and right superior temporal gyrus. Several brain regions, including the right middle temporal gyrus, left inferior parietal, prefrontal cortex, left superior frontal gyrus and striatum, differed significantly between MDD and rMDD. Meta-regression analyses revealed that the percentage of females with MDD was positively associated with brain activity in the right lenticular nucleus/putamen. Our meta-analysis provides useful insights for understanding the potential neuropathology of brain dysfunction in MDD, developing more targeted and efficacious treatment and intervention strategies, and more importantly, providing potential neuroimaging targets for early screening of MDD.

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Neuronal response to high negative affective stimuli in major depressive disorder: An fMRI study

Cited by 11 publications

References 31 publications

Resting‐state cerebral blood flow and functional connectivity abnormalities in depressed patients with childhood maltreatment: Potential biomarkers of vulnerability?

Resting‐state cerebral blood flow and functional connectivity abnormalities in depressed patients with childhood maltreatment: Potential biomarkers of vulnerability?

EmoSense: Revealing True Emotions Through Microgestures

Common And Distinct Patterns Of Task-Related Neural Activation Abnormalities In Patients With Remitted And Current Major Depressive Disorder: A Systematic Review And Coordinate-Based Meta-Analysis

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