Functional brain connectivity changes associated with day-to-day fluctuations in affective states.
Affective neuroscience has traditionally relied on cross-sectional studies to uncover the brain correlates of affects, emotions, and moods. Such findings obfuscate intraindividual variability that may reveal meaningful changing affect states. The few functional magnetic resonance imaging longitudina...
| Publicado en: | Cognitive, Affective & Behavioral Neuroscience Vol. 24; no. 6; pp. 1141 - 1155 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Dec2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=180589606&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 180589606 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15307026 NA4 jtl: Cognitive, Affective & Behavioral Neuroscience issn: 15307026 maglogo: N pubinfo: dt: Dec2024 vid: 24 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 180589606 179868310 10.3758/s13415-024-01216-6 180589606 ppf: 1141 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Functional brain connectivity changes associated with day-to-day fluctuations in affective states. aug: au: Racicot, Jeanne Smine, Salima Afzali, Kamran Orban, Pierre affil: Centre de Recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montréal, Canada sug: ab: Affective neuroscience has traditionally relied on cross-sectional studies to uncover the brain correlates of affects, emotions, and moods. Such findings obfuscate intraindividual variability that may reveal meaningful changing affect states. The few functional magnetic resonance imaging longitudinal studies that have linked changes in brain function to the ebbs and flows of affective states over time have mostly investigated a single individual. In this study, we explored how the functional connectivity of brain areas associated with affective processes can explain within-person fluctuations in self-reported positive and negative affects across several subjects. To do so, we leveraged the Day2day dataset that includes 40 to 50 resting-state functional magnetic resonance imaging scans along self-reported positive and negative affectivity from a sample of six healthy participants. Sparse multivariate mixed-effect linear models could explain 15% and 11% of the within-person variation in positive and negative affective states, respectively. Evaluation of these models' generalizability to new data demonstrated the ability to predict approximately 5% and 2% of positive and negative affect variation. The functional connectivity of limbic areas, such as the amygdala, hippocampus, and insula, appeared most important to explain the temporal dynamics of affects over days, weeks, and months. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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