iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: http://pubmed.ncbi.nlm.nih.gov/39562474/
Worry and rumination elicit similar neural representations: neuroimaging evidence for repetitive negative thinking - PubMed Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Nov 19.
doi: 10.3758/s13415-024-01239-z. Online ahead of print.

Worry and rumination elicit similar neural representations: neuroimaging evidence for repetitive negative thinking

Affiliations

Worry and rumination elicit similar neural representations: neuroimaging evidence for repetitive negative thinking

Nikki A Puccetti et al. Cogn Affect Behav Neurosci. .

Abstract

Repetitive negative thinking (RNT) captures shared cognitive and emotional features of content-specific cognition, including future-focused worry and past-focused rumination. The degree to which these distinct but related processes recruit overlapping neural structures is undetermined, because most neuroscientific studies only examine worry or rumination in isolation. To address this, we developed a paradigm to elicit idiographic worries and ruminations during an fMRI scan in 39 young adults with a range of trait RNT scores. We measured concurrent emotion ratings and heart rate as a physiological metric of arousal. Multivariate representational similarity analysis revealed that regions distributed across default mode, salience, and frontoparietal control networks encode worry and rumination similarly. Moreover, heart rate did not differ between worry and rumination. Capturing the shared neural features between worry and rumination throughout networks supporting self-referential processing, memory, salience detection, and cognitive control provides novel empirical evidence to bolster cognitive and clinical models of RNT.

Keywords: Peseverative cognition; Representational similarity analysis; Transdiagnostic vulnerability; fMRI.

PubMed Disclaimer

Conflict of interest statement

Declarations Ethics Approval This study was approved by the University of Miami IRB (#20150687). Consent to Participant Written informed consent was obtained from all individuals that participated in this study. Consent to Publish All individuals gave informed consent to the publication of their deidentified data. Conflicts of interest CAS has received salary and equity support from Akili Interactive Labs and Google. The other authors declared that they had no conflicts of interest with respect to their authorship or the publication of this article.

References

    1. Aldao, A., Mennin, D. S., & McLaughlin, K. A. (2013). Differentiating worry and rumination: Evidence from heart rate variability during spontaneous regulation. Cognitive Therapy and Research, 37(3), 613–619. - PubMed - DOI
    1. Andreescu, C., Gross, J. J., Lenze, E., Edelman, K. D., Snyder, S., Tanase, C., & Aizenstein, H. (2011). Altered cerebral blood flow patterns associated with pathologic worry in the elderly. Depression and Anxiety, 28(3), 202–209. - PubMed - PMC - DOI
    1. Andrews-Hanna, J. R., Smallwood, J., & Spreng, R. N. (2014). The default network and self-generated thought: Component processes, dynamic control, and clinical relevance. Annals of the New York Academy of Sciences, 1316(1), 29–52. - PubMed - PMC - DOI
    1. Arditte, K. A., Shaw, A. M., & Timpano, K. R. (2016). Repetitive negative thinking: A transdiagnostic correlate of affective disorders. Journal of Social and Clinical Psychology, 35(3), 181–201. - DOI
    1. Averbeck, B. B., Latham, P. E., & Pouget, A. (2006). Neural correlations, population coding and computation. Nature Reviews Neuroscience, 7(5), Article 5.

LinkOut - more resources