The VLPFC-Engaged Voluntary Emotion Regulation: Combined TMS-fMRI Evidence for the Neural Circuit of Cognitive Reappraisal.
In: Journal of Neuroscience, Jg. 43 (2023-08-23), Heft 34, S. 6046-6060
Online
academicJournal
Zugriff:
A clear understanding of the neural circuit underlying emotion regulation (ER) is important for both basic and translational research. However, a lack of evidence based on combined neuroimaging and neuromodulation techniques calls into question (1) whether the change of prefrontal-subcortical activity intrinsically and causally contributes to the ER effect; and (2) whether the prefrontal control system directly modulates the subcortical affective system. Accordingly, we combined fMRI recordings with transcranial magnetic stimulation (TMS) to map the causal connections between the PFC and subcortical affective structures (amygdala and insula). A total of 117 human adult participants (57 males and 60 females) were included in the study. The results revealed that TMS-induced ventrolateral PFC (VLPFC) facilitation led to enhanced activity in the VLPFC and ventromedial PFC (VMPFC) as well as attenuated activity in the amygdala and insula during reappraisal but not during nonreappraisal (i.e., baseline). Moreover, the activated VLPFC intensified the prefrontal-subcortical couplings via the VMPFC during reappraisal only. This study provides combined TMS-fMRI evidence that downregulating negative emotion involves the prefrontal control system suppressing the subcortical affective system, with the VMPFC serving as a crucial hub within the VLPFC-subcortical network, suggesting an indirect pathway model of the ER circuit. Our findings outline potential protocols for improving ER ability by intensifying the VLPFC-VMPFC coupling in patients with mood and anxiety disorders. [ABSTRACT FROM AUTHOR]
Titel: |
The VLPFC-Engaged Voluntary Emotion Regulation: Combined TMS-fMRI Evidence for the Neural Circuit of Cognitive Reappraisal.
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Autor/in / Beteiligte Person: | He, Zhenhong ; Li, Sijin ; Mo, Licheng ; Zheng, Zixin ; Li, Yiwei ; Li, Hong ; Zhang, Dandan |
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Zeitschrift: | Journal of Neuroscience, Jg. 43 (2023-08-23), Heft 34, S. 6046-6060 |
Veröffentlichung: | 2023 |
Medientyp: | academicJournal |
ISSN: | 0270-6474 (print) |
DOI: | 10.1523/JNEUROSCI.1337-22.2023 |
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