Neural mapping of guilt: a quantitative meta-analysis of functional imaging studies.
Guilt is a self-conscious emotion associated with the negative appraisal of one's behavior. In recent years, several neuroimaging studies have investigated the neural correlates of guilt, but no meta-analyses have yet identified the most robust activation patterns. A systematic review of literature...
| Publicado en: | Brain Imaging & Behavior Vol. 11; no. 4; pp. 1164 - 1179 |
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| Autores principales: | , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Aug2017
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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=124638238&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 124638238 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 19317557 3GSC jtl: Brain Imaging & Behavior issn: 19317557 maglogo: N pubinfo: dt: Aug2017 vid: 11 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 124638238 124638238 143927590 NLM27704409 124638238 10.1007/s11682-016-9606-6 NLM27704409 124638238 ppf: 1164 ppct: 15 formats: fmt: @attributes: type: P tig: atl: Neural mapping of guilt: a quantitative meta-analysis of functional imaging studies. aug: au: Gifuni, Anthony Kendal, Adam Jollant, Fabrice Gifuni, Anthony J affil: Department of Psychiatry & Douglas Mental Health University Institute, McGill Group for Suicide Studies , McGill University , Frank B. Common building, 6875 LaSalle Boulevard Montréal H4H1R3 Canada sug: subj: Guilt Brain Physiology Magnetic Resonance Imaging Diagnosis, Neurologic Brain Human Validation Studies Comparative Studies Evaluation Research Multicenter Studies Clinical Assessment Tools Scales ab: Guilt is a self-conscious emotion associated with the negative appraisal of one's behavior. In recent years, several neuroimaging studies have investigated the neural correlates of guilt, but no meta-analyses have yet identified the most robust activation patterns. A systematic review of literature found 16 functional magnetic resonance imaging studies with whole-brain analyses meeting the inclusion criteria, for a total of 325 participants and 135 foci of activation. A meta-analysis was then conducted using activation likelihood estimation. Additionally, Meta-Analytic Connectivity Modeling (MACM) analysis was conducted to investigate the functional connectivity of significant clusters. The analysis revealed 12 significant clusters of brain activation (voxel-based FDR-corrected p < 0.05) located in the prefrontal, temporal and parietal regions, mainly in the left hemisphere. Only the left dorsal cingulate cluster survived stringent FWE correction (voxel-based p < 0.05). Secondary analyses (voxel-based FDR-corrected p < 0.05) on the 7 studies contrasting guilt with another emotional condition showed an association with clusters in the left precuneus, the anterior cingulate, the left medial frontal gyrus, the right superior frontal gyrus and the left superior temporal gyrus. MACM demonstrated that regions associated with guilt are highly interconnected. Our analysis identified a distributed neural network of left-lateralized regions associated with guilt. While voxel-based FDR-corrected results should be considered exploratory, the dorsal cingulate was robustly associated with guilt. We speculate that this network integrates cognitive and emotional processes involved in the experience of guilt, including self-representation, theory of mind, conflict monitoring and moral values. Limitations of our meta-analyses comprise the small sample size and the heterogeneity of included studies, and concerns about naturalistic validity. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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