Depression and Cognitive Control across the Lifespan: a Systematic Review and Meta-Analysis

Dotson, Vonetta M.; McClintock, Shawn M.; Verhaeghen, Paul; Kim, Joseph U.; Draheim, Amanda A.; Syzmkowicz, Sarah M.; Gradone, Andrew M.; Bogoian, Hannah R; Wit, Liselotte De

doi:10.1007/s11065-020-09436-6

Cited by 104 publications

(76 citation statements)

References 56 publications

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“…They further concluded that such measures may represent informative indicators of individuals' psychological function. In the same vein, the review by Dotson et al [115] also found evidence for such associations among 16,806 participants that took in 76 studies.…”

Section: Appendix A1 Determination Of Participants' Stress-susceptimentioning

confidence: 89%

Stress Changes the Resting-State Cortical Flow of Information from Distributed to Frontally Directed Patterns

Keshmiri

2020

Biology

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Despite converging evidence on the involvement of large-scale distributed brain networks in response to stress, the effect of stress on the components of these networks is less clear. Although some studies identify higher regional activities in response to stress, others observe an opposite effect in the similar regions. Studies based on synchronized activities and coactivation of these components also yield similar differing results. However, these differences are not necessarily contradictory once we observe the effect of stress on these functional networks in terms of the change in information processing capacity of their components. In the present study, we investigate the utility of such a shift in the analysis of the effect of stress on distributed cortical regions through quantification of the flow of information among them. For this purpose, we use the self-assessed responses of 216 individuals to stress-related questionnaires and systematically select 20 of them whose responses showed significantly higher and lower susceptibility to stress. We then use these 20 individuals’ resting-state multi-channel electroencephalography (EEG) recordings (both Eyes-Closed (EC) and Eyes-Open (EO) settings) and compute the distributed flow of information among their cortical regions using transfer entropy (TE). The contribution of the present study is three-fold. First, it identifies that the stress-susceptibility is characterized by the change in flow of information in fronto-parietal brain network. Second, it shows that these regions are distributed bi-hemispherically and are sufficient to significantly differentiate between the individuals with high versus low stress-susceptibility. Third, it verifies that the high stress-susceptibility is markedly associated with a higher parietal-to-frontal flow of information. These results provide further evidence for the viewpoint in which the brain’s modulation of information is not necessarily accompanied by the change in its regional activity. They further construe the effect of stress in terms of a disturbance that disrupts the flow of information among the brain’s distributed cortical regions. These observations, in turn, suggest that some of the differences in the previous findings perhaps reflect different aspects of impaired distributed brain information processing in response to stress. From a broader perspective, these results posit the use of TE as a potential diagnostic/prognostic tool in identification of the effect of stress on distributed brain networks that are involved in stress-response.

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Section: Appendix A1 Determination Of Participants' Stress-susceptimentioning

confidence: 89%

Stress Changes the Resting-State Cortical Flow of Information from Distributed to Frontally Directed Patterns

Keshmiri

2020

Biology

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“…In contrast, the location-scale generalization allows variance components and the residual variance to vary as a function of any type of covariates, including interactions. 1 Consequently, the multilevel location-scale model is an excellent tool for examining whether psychopathology groups and psychiatric symptoms are related to ERN score averages (location) and within-person variability (scale).…”

Section: Discussionmentioning

confidence: 99%

“…The ability to accurately monitor and adapt performance is critical for healthy functioning. Impairment in performance monitoring is observed across various forms of psychopathology and contributes to poor functional outcome (1,2). Basic and applied researchers have focused on differences in mean/average scores between conditions, persons (i.e., interindividual variability), and groups and have typically treated response variability within persons as "error" or noise.…”

Section: Introductionmentioning

confidence: 99%

Understanding the Error in Psychopathology: Notable Intraindividual Differences in Neural Variability of Performance Monitoring

Clayson¹,

Rocha²,

Baldwin³

et al. 2021

Preprint

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Background: Abnormal performance monitoring is a possible transdiagnostic marker common across psychopathology. Most research on neural indices of performance monitoring, including the error-related negativity (ERN), has examined group and interindividual (between-person) differences in mean/average scores. Intraindividual (within-person) variability in neural activity captures the capacity to dynamically adjust from moment to moment, and excessive neural variability appears maladaptive. Intraindividual variability in ERN represents a unique and largely unexplored dimension that might impact functioning. We tested whether psychopathology group differences (major depressive disorder [MDD], generalized anxiety disorder [GAD], obsessive-compulsive disorder [OCD]) or corresponding psychiatric symptoms account for intraindividual variability in single-trial ERN scores. Methods: ERN was recorded in 51 participants with MDD, 44 participants with GAD, 31 participants with OCD, and 56 psychiatrically-healthy control participants. Multilevel location-scale models were used to simultaneously examine interindividual and intraindividual differences in ERN amplitude. Results: Analyses indicated considerable intraindividual variability in ERN that was common across all groups. However, we did not find strong evidence to support clinical differences in ERN when examining traditional diagnostic categories or relationships with transdiagnostic symptoms. Conclusions: These findings point to important methodological implications for studies of performance monitoring in healthy and clinical populations—the common assumption of fixed intraindividual variability (i.e., residual variance) is inappropriate for ERN studies in clinical or healthy populations. Implementation of multilevel location-scale models in future research can leverage between-person differences in intraindividual variability in performance monitoring to gain a rich understanding of the trial-to-trial dynamics of performance monitoring.

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“…Caudate is a critical node associated with cognitive function, and links to the dorsolateral prefrontal cortex via the network (41,42). It is widely recognized that mood can affect cognition (43), and negative emotional symptoms are highly prevalent in asthmatic patients. However, we did not collect the cognitive information.…”

Section: Relationship Between Variability and Clinical Symptomsmentioning

confidence: 99%

Asthma-Specific Temporal Variability Reveals the Effect of Group Cognitive Behavior Therapy in Asthmatic Patients

et al. 2021

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Background: Group cognitive behavior therapy (GCBT) is a successful therapy for asthma. However, the neural biomarker of GCBT which could be used in clinic remains unclear. The temporal variability is a novel concept to characterize the dynamic functional connectivity (FC), which has many advantages as biomarker. Therefore, the aim of this study is to explore the potential difference of temporal variability between asthmatic patients and healthy controls, then determine the different patterns of temporal variability between pre- and post-treatment group and reveal the relationship between the variability and the symptoms improvement reduced by GCBT.Methods: At baseline, 40 asthmatic patients and 40 matched controls received resting-state functional magnetic resonance imaging (fMRI) scans and clinical assessments. After 8 weeks of GCBT treatment, 17 patients received fMRI scans, and assessments again. Temporal variability at baseline and post-treatment were calculated for further analysis.Results: Compared with controls, asthmatic patients showed widespread decreases in temporal variability. Moreover, the variability in both right caudate and left putamen were positively correlated with asthma control level. After GCBT, asthma control level and depression of patients were improved. Meanwhile, compared with pre-GCBT, patients after treatment showed lower variability in left opercular of Rolandic, right parahippocampal gyrus and right lingual gyrus, as well as higher variability in left temporal pole. Variability in regions which were found abnormal at baseline did not exhibit significant differences between post-GCBT and controls.Conclusions: Asthma-specific changes of dynamic functional connectivity may serve as promising underpinnings of GCBT for asthma.Clinical Trial Registration:http://www.chictr.org.cn/index.aspx, identifier: Chi-CTR-15007442.

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Depression and Cognitive Control across the Lifespan: a Systematic Review and Meta-Analysis

Cited by 104 publications

References 56 publications

Stress Changes the Resting-State Cortical Flow of Information from Distributed to Frontally Directed Patterns

Stress Changes the Resting-State Cortical Flow of Information from Distributed to Frontally Directed Patterns

Understanding the Error in Psychopathology: Notable Intraindividual Differences in Neural Variability of Performance Monitoring

Asthma-Specific Temporal Variability Reveals the Effect of Group Cognitive Behavior Therapy in Asthmatic Patients

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