Affective Brain Patterns As Multivariate Neural Correlates of Cardiovascular Disease Risk

Overview

Journal Soc Cogn Affect Neurosci

Specialties Neurology
Social Sciences

Date 2020 Apr 18

PMID 32301993

Citations 12

Authors

Peter J Gianaros

Thomas E Kraynak

Dora C-H Kuan

James J Gross

Kateri McRae

Ahmad R Hariri

Stephen B Manuck

Javier Rasero

Timothy D Verstynen

Affiliations

Soon will be listed here.

Abstract

This study tested whether brain activity patterns evoked by affective stimuli relate to individual differences in an indicator of pre-clinical atherosclerosis: carotid artery intima-media thickness (CA-IMT). Adults (aged 30-54 years) completed functional magnetic resonance imaging (fMRI) tasks that involved viewing three sets of affective stimuli. Two sets included facial expressions of emotion, and one set included neutral and unpleasant images from the International Affective Picture System (IAPS). Cross-validated, multivariate and machine learning models showed that individual differences in CA-IMT were partially predicted by brain activity patterns evoked by unpleasant IAPS images, even after accounting for age, sex and known cardiovascular disease risk factors. CA-IMT was also predicted by brain activity patterns evoked by angry and fearful faces from one of the two stimulus sets of facial expressions, but this predictive association did not persist after accounting for known cardiovascular risk factors. The reliability (internal consistency) of brain activity patterns evoked by affective stimuli may have constrained their prediction of CA-IMT. Distributed brain activity patterns could comprise affective neural correlates of pre-clinical atherosclerosis; however, the interpretation of such correlates may depend on their psychometric properties, as well as the influence of other cardiovascular risk factors and specific affective cues.

Citing Articles

Rasero J, Betzel R, Sentis A, Kraynak T, Gianaros P, Verstynen T Netw Neurosci. 2024; 8(1):335-354.

PMID: 38711543 PMC: 11073549. DOI: 10.1162/netn_a_00354.

A systems identification approach using Bayes factors to deconstruct the brain bases of emotion regulation.

Bo K, Kraynak T, Kwon M, Sun M, Gianaros P, Wager T Nat Neurosci. 2024; 27(5):975-987.

PMID: 38519748 DOI: 10.1038/s41593-024-01605-7.

Reliability of task-based fMRI in the dorsal horn of the human spinal cord.

Dabbagh A, Horn U, Kaptan M, Mildner T, Muller R, Lepsien J bioRxiv. 2024; .

PMID: 38187724 PMC: 10769329. DOI: 10.1101/2023.12.22.572825.

Psychological stress and the longitudinal progression of subclinical atherosclerosis.

Spencer C, Reed R, Votruba-Drzal E, Gianaros P Health Psychol. 2023; 43(1):58-66.

PMID: 37917469 PMC: 10842302. DOI: 10.1037/hea0001333.

Multivariate Brain Activity while Viewing and Reappraising Affective Scenes Does Not Predict the Multiyear Progression of Preclinical Atherosclerosis in Otherwise Healthy Midlife Adults.

Gianaros P, Rasero J, DuPont C, Kraynak T, Gross J, McRae K Affect Sci. 2022; 3(2):406-424.

PMID: 36046001 PMC: 9382946. DOI: 10.1007/s42761-021-00098-y.

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