1
|
Bo K, Kraynak TE, Kwon M, Sun M, Gianaros PJ, Wager TD. A systems identification approach using Bayes factors to deconstruct the brain bases of emotion regulation. Nat Neurosci 2024; 27:975-987. [PMID: 38519748 DOI: 10.1038/s41593-024-01605-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 02/15/2024] [Indexed: 03/25/2024]
Abstract
Cognitive reappraisal is fundamental to cognitive therapies and everyday emotion regulation. Analyses using Bayes factors and an axiomatic systems identification approach identified four reappraisal-related components encompassing distributed neural activity patterns across two independent functional magnetic resonance imaging (fMRI) studies (n = 182 and n = 176): (1) an anterior prefrontal system selectively involved in cognitive reappraisal; (2) a fronto-parietal-insular system engaged by both reappraisal and emotion generation, demonstrating a general role in appraisal; (3) a largely subcortical system activated during negative emotion generation but unaffected by reappraisal, including amygdala, hypothalamus and periaqueductal gray; and (4) a posterior cortical system of negative emotion-related regions downregulated by reappraisal. These systems covaried with individual differences in reappraisal success and were differentially related to neurotransmitter binding maps, implicating cannabinoid and serotonin systems in reappraisal. These findings challenge 'limbic'-centric models of reappraisal and provide new systems-level targets for assessing and enhancing emotion regulation.
Collapse
Affiliation(s)
- Ke Bo
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA
| | - Thomas E Kraynak
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mijin Kwon
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA
| | - Michael Sun
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA
| | - Peter J Gianaros
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA.
| | - Tor D Wager
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA.
| |
Collapse
|
2
|
Persson E, Tinghög G, Västfjäll D. Intertemporal prosocial behavior: a review and research agenda. Front Psychol 2024; 15:1359447. [PMID: 38650901 PMCID: PMC11033307 DOI: 10.3389/fpsyg.2024.1359447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 03/25/2024] [Indexed: 04/25/2024] Open
Abstract
Research on intertemporal and prosocial decisions has largely developed in separate strands of literature. However, many of the decisions we make occur at the intersection of these two dimensions (intertemporal and prosocial). Trust is an example, where a decision today is made with the expectation that another person will reciprocate (or betray) later. A new literature is emerging to explore the role of time in these types of situations, where time and social considerations are intertwined. In many cases, time introduces (or magnifies) an element of uncertainty about future outcomes and utility that people need to deal with - what will happen, how good will it be, how will it feel. We review this emerging literature on intertemporal prosocial decision-making and discuss how new research can fill existing knowledge gaps.
Collapse
Affiliation(s)
- Emil Persson
- Department of Management and Engineering, Division of Economics, Linköping University, Linköping, Sweden
| | - Gustav Tinghög
- Department of Management and Engineering, Division of Economics, Linköping University, Linköping, Sweden
- Department of Health, Medicine and Caring Sciences (HMV), The National Center for Priority Setting in Health Care, Linköping University, Linköping, Sweden
| | - Daniel Västfjäll
- Department of Behavioural Sciences and Learning, Linköping University, Linköping, Sweden
- Decision Research, Eugene, OR, United States
| |
Collapse
|
3
|
Kim J, Andrews-Hanna JR, Eisenbarth H, Lux BK, Kim HJ, Lee E, Lindquist MA, Losin EAR, Wager TD, Woo CW. A dorsomedial prefrontal cortex-based dynamic functional connectivity model of rumination. Nat Commun 2023; 14:3540. [PMID: 37321986 PMCID: PMC10272121 DOI: 10.1038/s41467-023-39142-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 06/01/2023] [Indexed: 06/17/2023] Open
Abstract
Rumination is a cognitive style characterized by repetitive thoughts about one's negative internal states and is a common symptom of depression. Previous studies have linked trait rumination to alterations in the default mode network, but predictive brain markers of rumination are lacking. Here, we adopt a predictive modeling approach to develop a neuroimaging marker of rumination based on the variance of dynamic resting-state functional connectivity and test it across 5 diverse subclinical and clinical samples (total n = 288). A whole-brain marker based on dynamic connectivity with the dorsomedial prefrontal cortex (dmPFC) emerges as generalizable across the subclinical datasets. A refined marker consisting of the most important features from a virtual lesion analysis further predicts depression scores of adults with major depressive disorder (n = 35). This study highlights the role of the dmPFC in trait rumination and provides a dynamic functional connectivity marker for rumination.
Collapse
Affiliation(s)
- Jungwoo Kim
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon, South Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, South Korea
| | - Jessica R Andrews-Hanna
- Department of Psychology, University of Arizona, Tucson, AZ, USA
- Cognitive Science, University of Arizona, Tucson, AZ, USA
| | - Hedwig Eisenbarth
- School of Psychology, Victoria University of Wellington, Wellington, New Zealand
| | - Byeol Kim Lux
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon, South Korea
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA
| | - Hong Ji Kim
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon, South Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, South Korea
| | - Eunjin Lee
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon, South Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, South Korea
| | - Martin A Lindquist
- Department of Biostatistics, Johns Hopkins University, Baltimore, MD, USA
| | - Elizabeth A Reynolds Losin
- Department of Psychology, University of Miami, Miami, FL, USA
- Department of Biobehavioral Health, Penn State University, State College, PA, USA
| | - Tor D Wager
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA.
| | - Choong-Wan Woo
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea.
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon, South Korea.
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, South Korea.
- Life-inspired Neural Network for Prediction and Optimization Research Group, Suwon, South Korea.
| |
Collapse
|
4
|
García-Molina A, Gonzalo-Fonrodona I. [Rediscovering patient M: Justo Gonzalo Rodriguez-Leal and his theory of the dynamic mind]. Rev Neurol 2023; 76:235-241. [PMID: 36973887 PMCID: PMC10478113 DOI: 10.33588/rn.7607.2023062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Indexed: 03/29/2023]
Abstract
INTRODUCTION During the Spanish Civil War, Justo Gonzalo Rodriguez-Leal visited patient M at the Military Healthcare Hospital in Godella (Valencia). This meeting marked the beginning of a long relationship between the two, which gave Justo Gonzalo the opportunity to study the functional organisation of the brain and to develop an original conception of neurophysiology based on the laws of nervous excitability. The aim of this work is to rediscover patient M and the physiological interpretation of Gonzalo's brain dynamics. DEVELOPMENT Taking patient M as the cornerstone, Gonzalo postulated that the effect of a cortical lesion depends on its magnitude and position: the magnitude conditions the intensity of the disorder, whereas the position determines the type of disorder. Between 1945 and 1950 he developed these and other hypotheses in depth, based on clinical observations, in his work Dinamica cerebral. La actividad cerebral en funcion de las condiciones dinamicas de la excitabilidad nerviosa (Vol. 1, 1945; Vol. 2, 1950). From 1952 onwards he provided an expanded version of his theory of brain dynamics, basing it not only on physiological concepts, but also on the idea of brain gradients, and introducing the concepts of similarity and allometry of dynamic systems. CONCLUSIONS For centuries, knowledge about the functional organisation of the brain has been based on single case studies. Patient M is a further example of this tradition that helps to establish the basis of the theory of brain dynamics developed by Justo Gonzalo.
Collapse
Affiliation(s)
- Alberto García-Molina
- Institut Guttmann. Institut Universitari de Neurorehabilitació-UABInstitut Universitari de Neurorehabilitació-UABInstitut Universitari de Neurorehabilitació-UABBadalonaSpain
- Fundació Institut d‘Investigació en Ciències de la Salut Germans Trias i Pujol. BadalonaFundació Institut d‘Investigació en Ciències de la Salut Germans Trias i PujolFundació Institut d‘Investigació en Ciències de la Salut Germans Trias i PujolBadalonaSpain
- Universitat Autònoma de Barcelona. Bellaterra, BarcelonaUniversitat Autònoma de BarcelonaUniversitat Autònoma de BarcelonaBellaterraBarcelona
| | - Isabel Gonzalo-Fonrodona
- Departamento de Óptica. Facultad de Ciencias Físicas. Universidad Complutense de Madrid. Madrid, EspañaUniversidad Complutense de MadridUniversidad Complutense de MadridMadridEspaña
| |
Collapse
|
5
|
Castrellon JJ, Hakimi S, Parelman JM, Yin L, Law JR, Skene JAG, Ball DA, Malekpour A, Beskind DH, Vidmar N, Pearson JM, Carter RM, Skene JHP. Neural Support for Contributions of Utility and Narrative Processing of Evidence in Juror Decision Making. J Neurosci 2022; 42:7624-7633. [PMID: 36658459 PMCID: PMC9546442 DOI: 10.1523/jneurosci.2434-21.2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 07/27/2022] [Accepted: 08/03/2022] [Indexed: 02/02/2023] Open
Abstract
Efforts to explain complex human decisions have focused on competing theories emphasizing utility and narrative mechanisms. These are difficult to distinguish using behavior alone. Both narrative and utility theories have been proposed to explain juror decisions, which are among the most consequential complex decisions made in a modern society. Here, we asked jury-eligible male and female subjects to rate the strength of a series of criminal cases while recording the resulting patterns of brain activation. We compared patterns of brain activation associated with evidence accumulation to patterns of brain activation derived from a large neuroimaging database to look for signatures of the cognitive processes associated with different models of juror decision-making. Evidence accumulation correlated with multiple narrative processes, including reading and recall. Of the cognitive processes traditionally viewed as components of utility, activation patterns associated with uncertainty, but not value, were more active with stronger evidence. Independent of utility and narrative, activations linked to reasoning and relational logic also correlated with increasing evidence. Hierarchical modeling of cognitive processes associated with evidence accumulation supported a more prominent role for narrative in weighing evidence in complex decisions. However, utility processes were also associated with evidence accumulation. These complementary findings support an emerging view that integrates utility and narrative processes in complex decisions.SIGNIFICANCE STATEMENT The last decade has seen a sharply increased interest in narrative as a central cognitive process in human decision-making and as an important factor in the evolution of human societies. However, the roles of narrative versus utility models of decision-making remain hotly debated. While available models frequently produce similar behavioral predictions, they rely on different cognitive processes and so their roles can be separated using the right neural tests. Here, we use brain imaging during mock juror decisions to show that cognitive processes associated with narrative, and to a lesser extent utility, were engaged while subjects evaluated evidence. These results are consistent with interactions between narrative and utility processes during complex decision-making.
Collapse
Affiliation(s)
- Jaime J Castrellon
- Department of Psychology and Neuroscience, Duke University, Durham, North Carolina 27708
- Center for Cognitive Neuroscience, Duke University, Durham, North Carolina 27708
| | - Shabnam Hakimi
- Center for Cognitive Neuroscience, Duke University, Durham, North Carolina 27708
- Institute of Cognitive Science, University of Colorado, Boulder, Colorado 80309
| | - Jacob M Parelman
- Institute of Cognitive Science, University of Colorado, Boulder, Colorado 80309
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Lun Yin
- Center for Cognitive Neuroscience, Duke University, Durham, North Carolina 27708
| | - Jonathan R Law
- Department of Psychology and Neuroscience, Duke University, Durham, North Carolina 27708
- Center for Cognitive Neuroscience, Duke University, Durham, North Carolina 27708
| | - Jesse A G Skene
- Department of Psychology and Neuroscience, Duke University, Durham, North Carolina 27708
- Center for Cognitive Neuroscience, Duke University, Durham, North Carolina 27708
| | - David A Ball
- Malekpour & Ball Consulting (JuryWatch, Inc.), Durham, North Carolina 27705
| | - Artemis Malekpour
- Malekpour & Ball Consulting (JuryWatch, Inc.), Durham, North Carolina 27705
| | | | - Neil Vidmar
- School of Law, Duke University, Durham, North Carolina 27708
| | - John M Pearson
- Department of Psychology and Neuroscience, Duke University, Durham, North Carolina 27708
- Center for Cognitive Neuroscience, Duke University, Durham, North Carolina 27708
- Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina 27708
- Department of Neurobiology, Duke University, Durham, North Carolina 27710
| | - R McKell Carter
- Institute of Cognitive Science, University of Colorado, Boulder, Colorado 80309
- Department of Psychology and Neuroscience, University of Colorado, Boulder, Colorado 80309
- Electrical, Computer, and Energy Engineering, University of Colorado, Boulder, Colorado 80309
| | - J H Pate Skene
- Institute of Cognitive Science, University of Colorado, Boulder, Colorado 80309
- Department of Neurobiology, Duke University, Durham, North Carolina 27710
| |
Collapse
|