Temporal dynamics of spontaneous default-mode network activity mediate the association between reappraisal and depression

Gao, Wei; Chen, Sheng Dong; Biswal, Bharat B.; Lei, Xu; Jia, Yuan

doi:10.1093/scan/nsy092

Cited by 17 publications

(18 citation statements)

References 126 publications

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“…from studies with small sample sizes, which increase the likelihood of false positives (Gao et al, 2018). Moreover, emotion regulation research typically involves instructing participants to employ an explicit strategy (Cutuli, 2014;Dennis & Hajcak, 2009;Gross & John, 2003;Kalisch et al, 2006;Kanske et al, 2012;Urry et al, 2006).…”

Section: F I G U R E 2 (A)mentioning

confidence: 99%

“…Specifically, despite prior research implicating the default mode network in the reappraisal of negative emotion, we found no such signature. However, these findings typically come F I G U R E 3 Correlation between actual and predicted Emotion Regulation Questionnaire-Suppression subscale scores from the connectome-based predictive model (r male = .17, p < .001; r female = .062, p = .09) from studies with small sample sizes, which increase the likelihood of false positives (Gao et al, 2018). Moreover, emotion regulation research typically involves instructing participants to employ an explicit strategy (Cutuli, 2014;Dennis & Hajcak, 2009;Gross & John, 2003;Kalisch et al, 2006;Kanske et al, 2012;Urry et al, 2006).…”

Section: F I G U R E 2 (A)mentioning

confidence: 99%

“…Globally, intrinsic activity within the default mode network, which supports self-referential processes, has been associated with suppression (Pan et al, 2018) and reappraisal (Gao, Chen, Biswal, Lei, & Yuan, 2018;Martins & Mather, 2016;Sripada et al, 2013;Xie et al, 2016).…”

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confidence: 99%

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Functional connectivity predicts the dispositional use of expressive suppression but not cognitive reappraisal

et al. 2020

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Introduction Previous research has identified specific brain regions associated with regulating emotion using common strategies such as expressive suppression and cognitive reappraisal. However, most research focuses on a priori regions and directs participants how to regulate, which may not reflect how people naturally regulate outside the laboratory. Method Here, we used a data‐driven approach to investigate how individual differences in distributed intrinsic functional brain connectivity predict emotion regulation tendency outside the laboratory. Specifically, we used connectome‐based predictive modeling to extract functional connections in the brain significantly related to the dispositional use of suppression and reappraisal. These edges were then used in a predictive model and cross‐validated in novel participants to identify a neural signature that reflects individual differences in the tendency to suppress and reappraise emotion. Results We found a significant neural signature for the dispositional use of suppression, but not reappraisal. Within this whole‐brain signature, the intrinsic connectivity of the default mode network was most informative of suppression tendency. In addition, the predictive performance of this model was significant in males, but not females. Conclusion These findings help inform how whole‐brain networks of functional connectivity characterize how people tend to regulate emotion outside the laboratory.

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Section: F I G U R E 2 (A)mentioning

confidence: 99%

Section: F I G U R E 2 (A)mentioning

confidence: 99%

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Functional connectivity predicts the dispositional use of expressive suppression but not cognitive reappraisal

et al. 2020

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“…However, these findings typically come from studies with small sample sizes, which increase the likelihood of false positives (Chen, Biswal, Lei, & Yuan, 2018;Gao et al, 2018). Moreover, emotion regulation research typically involves instructing participants to employ an explicit strategy (Cutuli, 2014;Dennis & Hajcak, 2009;Gross & John, 2003;Kalisch, Wiech, Herrmann, & Dolan, 2006;Kanske, Heissler, Schönfelder, & Wessa, 2012;Urry et al, 2006).…”

Section: Functional Connectivity Predicts Suppressionmentioning

confidence: 99%

“…Globally, intrinsic activity within the default mode network, which supports self-referential processes, has been associated with suppression (Pan et al, 2018) and reappraisal (Gao et al, 2018;Gao, Chen, Biswal, Lei, & Yuan, 2018;Martins & Mather, 2016;Sripada et al, 2013;Xie et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Functional connectivity predicts the dispositional use of expressive suppression but not cognitive reappraisal

Burr¹,

d’Arbeloff²,

Elliott³

et al. 2019

Preprint

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Previous research has identified specific brain regions associated with regulating emotion using common strategies such as expressive suppression and cognitive reappraisal. However, most research focuses on a priori regions and directs participants how to regulate, which may not reflect how people naturally regulate outside the laboratory. Here, we used a data-driven approach to investigate how individual differences in distributed intrinsic functional brain connectivity predict emotion regulation tendency. Specifically, we used connectome-based predictive modeling to extract functional connections in the brain significantly related to the dispositional use of suppression and reappraisal. These edges were then used in a predictive model and cross-validated in novel participants to identify a neural signature that reflects individual differences in the tendency to suppress and reappraise emotion. We found a significant neural signature for the dispositional use of suppression, but not reappraisal. Within this whole-brain signature, the intrinsic connectivity of the default mode network was most informative of suppression tendency. In addition, the predictive performance of this model was significant in males, but not females. These findings help inform how whole-brain networks of functional connectivity characterize how people tend to regulate emotion outside the laboratory.

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The update of self‐identity: Importance of assessing autobiographical memory in major depressive disorder

Bulteau

Malo

Holland³

et al. 2023

WIRES Cognitive Science

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Major depressive disorder is a leading global cause of disability. There is a growing interest for memory in mood disorders since it might constitute an original tool for prevention, diagnosis, and treatment. MDD is associated with impaired autobiographical memory characterized by a tendency to overgeneral memory, rather than vivid episodic self-defining memory, which is mandatory for problem-solving and projection in the future. This memory bias is maintained by three mechanisms: ruminations, avoidance, and impaired executive control. If we adopt a broader and comprehensive perspective, we can hypothesize that all those alterations have the potential to impair self-identity updating. We posit that this update requires a double referencing process: (1) to internalized self-representation and (2) to an externalized framework dealing with the representation of the consequence of actions. Diagnostic and therapeutic implications are discussed in the light of this model and the importance of assessing autobiographical memory in MDD is highlighted.

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Temporal dynamics of spontaneous default-mode network activity mediate the association between reappraisal and depression

Cited by 17 publications

References 126 publications

Functional connectivity predicts the dispositional use of expressive suppression but not cognitive reappraisal

Functional connectivity predicts the dispositional use of expressive suppression but not cognitive reappraisal

Functional connectivity predicts the dispositional use of expressive suppression but not cognitive reappraisal

The update of self‐identity: Importance of assessing autobiographical memory in major depressive disorder

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