Affective brain patterns as multivariate neural correlates of cardiovascular disease risk
Autor: | Stephen B. Manuck, James J. Gross, Timothy Verstynen, Javier Rasero, Dora C-H. Kuan, Kateri McRae, Ahmad R. Hariri, Peter J. Gianaros, Thomas E. Kraynak |
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Rok vydání: | 2019 |
Předmět: |
Adult
Male Multivariate statistics medicine.medical_specialty Brain activity and meditation Cognitive Neuroscience AcademicSubjects/SCI01880 Emotions Individuality emotion Experimental and Cognitive Psychology Original Manuscript 030204 cardiovascular system & hematology Stimulus (physiology) Audiology Affect (psychology) Carotid Intima-Media Thickness 03 medical and health sciences 0302 clinical medicine medicine Humans International Affective Picture System Facial expression Neural correlates of consciousness Brain Mapping medicine.diagnostic_test fMRI Brain Reproducibility of Results General Medicine Middle Aged Atherosclerosis Magnetic Resonance Imaging cardiovascular disease risk Facial Expression machine learning Cardiovascular Diseases affect Female Cues Functional magnetic resonance imaging Psychology 030217 neurology & neurosurgery |
Zdroj: | Social Cognitive and Affective Neuroscience |
ISSN: | 1749-5024 |
Popis: | 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. |
Databáze: | OpenAIRE |
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