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Batten SR, Bang D, Kopell BH, Davis AN, Heflin M, Fu Q, Perl O, Ziafat K, Hashemi A, Saez I, Barbosa LS, Twomey T, Lohrenz T, White JP, Dayan P, Charney AW, Figee M, Mayberg HS, Kishida KT, Gu X, Montague PR. Dopamine and serotonin in human substantia nigra track social context and value signals during economic exchange. Nat Hum Behav 2024; 8:718-728. [PMID: 38409356 PMCID: PMC11045309 DOI: 10.1038/s41562-024-01831-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 01/16/2024] [Indexed: 02/28/2024]
Abstract
Dopamine and serotonin are hypothesized to guide social behaviours. In humans, however, we have not yet been able to study neuromodulator dynamics as social interaction unfolds. Here, we obtained subsecond estimates of dopamine and serotonin from human substantia nigra pars reticulata during the ultimatum game. Participants, who were patients with Parkinson's disease undergoing awake brain surgery, had to accept or reject monetary offers of varying fairness from human and computer players. They rejected more offers in the human than the computer condition, an effect of social context associated with higher overall levels of dopamine but not serotonin. Regardless of the social context, relative changes in dopamine tracked trial-by-trial changes in offer value-akin to reward prediction errors-whereas serotonin tracked the current offer value. These results show that dopamine and serotonin fluctuations in one of the basal ganglia's main output structures reflect distinct social context and value signals.
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Affiliation(s)
- Seth R Batten
- Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, VA, USA.
| | - Dan Bang
- Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, VA, USA.
- Center of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark.
- Wellcome Centre for Human Neuroimaging, University College London, London, UK.
- Department of Experimental Psychology, University of Oxford, Oxford, UK.
| | - Brian H Kopell
- Nash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Neuromodulation, Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Arianna N Davis
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Computational Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Matthew Heflin
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Computational Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Qixiu Fu
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Computational Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ofer Perl
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Computational Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kimia Ziafat
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alice Hashemi
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ignacio Saez
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Leonardo S Barbosa
- Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, VA, USA
| | - Thomas Twomey
- Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, VA, USA
| | - Terry Lohrenz
- Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, VA, USA
| | - Jason P White
- Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, VA, USA
| | - Peter Dayan
- Max Planck Institute for Biological Cybernetics, Tübingen, Germany
- University of Tübingen, Tübingen, Germany
| | - Alexander W Charney
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Martijn Figee
- Nash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Neuromodulation, Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Helen S Mayberg
- Nash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Neuromodulation, Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kenneth T Kishida
- Department of Translational Neuroscience, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Xiaosi Gu
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Center for Computational Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - P Read Montague
- Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, VA, USA.
- Wellcome Centre for Human Neuroimaging, University College London, London, UK.
- Department of Physics, Virginia Tech, Blacksburg, VA, USA.
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2
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Luo Y, Pluta D, Brodrick BB, Palka JM, McCoy J, Lohrenz T, Gu X, Vannucci M, Montague PR, McAdams CJ. Diminished Adaptation, Satisfaction, and Neural Responses to Advantageous Social Signals in Anorexia Nervosa and Bulimia Nervosa. Biol Psychiatry Cogn Neurosci Neuroimaging 2024; 9:305-313. [PMID: 37951540 PMCID: PMC10939989 DOI: 10.1016/j.bpsc.2023.10.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 09/22/2023] [Accepted: 10/23/2023] [Indexed: 11/14/2023]
Abstract
BACKGROUND Development and recurrence of 2 eating disorders (EDs), anorexia nervosa and bulimia nervosa, are frequently associated with environmental stressors. Neurobehavioral responses to social learning signals were evaluated in both EDs. METHODS Women with anorexia nervosa (n = 25), women with bulimia nervosa (n = 30), or healthy comparison women (n = 38) played a neuroeconomic game in which the norm shifted, generating social learning signals (norm prediction errors [NPEs]) during a functional magnetic resonance imaging scan. A Bayesian logistic regression model examined how the probability of offer acceptance depended on cohort, block, and NPEs. Rejection rates, emotion ratings, and neural responses to NPEs were compared across groups. RESULTS Relative to the comparison group, both ED cohorts showed less adaptation (p = .028, ηp2 = 0.060), and advantageous signals (positive NPEs) led to higher rejection rates (p = .014, ηp2 = 0.077) and less positive emotion ratings (p = .004, ηp2 = 0.111). Advantageous signals increased neural activations in the orbitofrontal cortex for the comparison group but not for women with anorexia nervosa (p = .018, d = 0.655) or bulimia nervosa (p = .043, d = 0.527). More severe ED symptoms were associated with decreased activation of dorsomedial prefrontal cortex for advantageous signals. CONCLUSIONS Diminished neural processing of advantageous social signals and impaired norm adaptation were observed in both anorexia nervosa and bulimia nervosa, while no differences were found for disadvantageous social signals. Development of neurocognitive interventions to increase responsivity to advantageous social signals could augment current treatments, potentially leading to improved clinical outcomes for EDs.
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Affiliation(s)
- Yi Luo
- Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, School of Psychology and Cognitive Science, East China Normal University, Shanghai, China; Fralin Biomedical Research Institute, Virginia Tech, Roanoke, Virginia
| | - Dustin Pluta
- Department of Statistics, Rice University, Houston, Texas
| | - Brooks B Brodrick
- Department of Psychiatry, University of Texas at Southwestern Medical School, Dallas, Texas
| | - Jayme M Palka
- Department of Psychiatry, University of Texas at Southwestern Medical School, Dallas, Texas
| | - Jordan McCoy
- Department of Psychiatry, University of Texas at Southwestern Medical School, Dallas, Texas
| | - Terry Lohrenz
- Fralin Biomedical Research Institute, Virginia Tech, Roanoke, Virginia
| | - Xiaosi Gu
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York; Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York; Center for Computational Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | | | - P Read Montague
- Fralin Biomedical Research Institute, Virginia Tech, Roanoke, Virginia; Department of Physics, Virginia Tech, Blacksburg, Virginia; Virginia Tech-Wake Forest School of Biomedical Engineering and Mechanics, Blacksburg, Virginia
| | - Carrie J McAdams
- Department of Psychiatry, University of Texas at Southwestern Medical School, Dallas, Texas.
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Manavalan M, Song X, Nolte T, Fonagy P, Montague PR, Vilares I. Bayesian Decision-Making Under Uncertainty in Borderline Personality Disorder. J Pers Disord 2024; 38:53-74. [PMID: 38324252 DOI: 10.1521/pedi.2024.38.1.53] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2024]
Abstract
Bayesian decision theory suggests that optimal decision-making should use and weigh prior beliefs with current information, according to their relative uncertainties. However, some characteristics of borderline personality disorder (BPD) patients, such as fast, drastic changes in the overall perception of themselves and others, suggest they may be underrelying on priors. Here, we investigated if BPD patients have a general deficit in relying on or combining prior with current information. We analyzed this by having BPD patients (n = 23) and healthy controls (n = 18) perform a coin-catching sensorimotor task with varying levels of prior and current information uncertainty. Our results indicate that BPD patients learned and used prior information and combined it with current information in a qualitatively Bayesian-like way. Our results show that, at least in a lower-level, nonsocial sensorimotor task, BPD patients can appropriately use both prior and current information, illustrating that potential deficits using priors may not be widespread or domain-general.
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Affiliation(s)
- Mathi Manavalan
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota
| | - Xin Song
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota
| | - Tobias Nolte
- Wellcome Centre for Human Neuroimaging, University College London, London, U.K
- Anna Freud National Centre for Children and Families, London, U.K
| | - Peter Fonagy
- Wellcome Centre for Human Neuroimaging, University College London, London, U.K
- Anna Freud National Centre for Children and Families, London, U.K
| | - P Read Montague
- Wellcome Centre for Human Neuroimaging, University College London, London, U.K
- Fralin Biomedical Research Institute at VTC, Virginia Polytechnic Institute and State University, Roanoke, Virginia
- Department of Physics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia
| | - Iris Vilares
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota
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4
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Zerban M, Puhlmann LMC, Lassri D, Fonagy P, Montague PR, Kiselnikova N, Lorenzini N, Desatnik A, Kalisch R, Nolte T. What helps the helpers? Resilience and risk factors for general and profession-specific mental health problems in psychotherapists during the COVID-19 pandemic. Front Psychol 2023; 14:1272199. [PMID: 38164261 PMCID: PMC10757941 DOI: 10.3389/fpsyg.2023.1272199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 11/30/2023] [Indexed: 01/03/2024] Open
Abstract
Introduction Although the COVID-19 pandemic has severely affected wellbeing of at-risk groups, most research on resilience employed convenience samples. We investigated psychosocial resilience and risk factors (RFs) for the wellbeing of psychotherapists and other mental health practitioners, an under-researched population that provides essential support for other at-risk groups and was uniquely burdened by the pandemic. Method We examined 18 psychosocial factors for their association with resilience, of which four were chosen due to their likely relevance specifically for therapists, in a cross-sectional multi-national sample (N = 569) surveyed between June and September 2020. Resilience was operationalized dimensionally and outcome-based as lower stressor reactivity (SR), meaning fewer mental health problems than predicted given a participant's levels of stressor exposure. General SR (SRG) scores expressed reactivity in terms of general internalizing problems, while profession-specific SR (SRS) scores expressed reactivity in terms of burnout and secondary trauma, typical problems of mental health practitioners. Results Factors previously identified as RFs in other populations, including perceived social support, optimism and self-compassion, were almost all significant in the study population (SRG: 18/18 RFs, absolute βs = 0.16-0.40; SRS: 15/18 RFs, absolute βs = 0.19-0.39 all Ps < 0.001). Compassion satisfaction emerged as uniquely relevant for mental health practitioners in regularized regression. Discussion Our work identifies psychosocial RFs for mental health practitioners' wellbeing during crisis. Most identified factors are general, in that they are associated with resilience to a wider range of mental health problems, and global, in that they have also been observed in other populations and stressor constellations.
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Affiliation(s)
- Matthias Zerban
- Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), Johannes Gutenberg University Medical Center, Mainz, Germany
| | - Lara Marie Christine Puhlmann
- Leibniz Institute for Resilience Research (LIR), Mainz, Germany
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Dana Lassri
- Research Department of Clinical, Educational and Health Psychology, University College London, London, United Kingdom
- The Paul Baerwald School of Social Work and Social Welfare, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Peter Fonagy
- Research Department of Clinical, Educational and Health Psychology, University College London, London, United Kingdom
- Anna Freud National Centre for Children and Families, London, United Kingdom
| | - P. Read Montague
- Virginia Tech Carilion Fralin Biomedical Research Institute, Virginia Polytechnic Institute and State University, Roanoke, VA, United States
| | - Natalia Kiselnikova
- Department of Psychosocial Studies, Birkbeck College, University of London, London, United Kingdom
| | - Nicolas Lorenzini
- Research Department of Clinical, Educational and Health Psychology, University College London, London, United Kingdom
| | - Alex Desatnik
- Research Department of Clinical, Educational and Health Psychology, University College London, London, United Kingdom
- Open Door Young People’s Service, London, United Kingdom
| | - Raffael Kalisch
- Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), Johannes Gutenberg University Medical Center, Mainz, Germany
- Leibniz Institute for Resilience Research (LIR), Mainz, Germany
| | - Tobias Nolte
- Research Department of Clinical, Educational and Health Psychology, University College London, London, United Kingdom
- Anna Freud National Centre for Children and Families, London, United Kingdom
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5
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Sands LP, Jiang A, Liebenow B, DiMarco E, Laxton AW, Tatter SB, Montague PR, Kishida KT. Subsecond fluctuations in extracellular dopamine encode reward and punishment prediction errors in humans. Sci Adv 2023; 9:eadi4927. [PMID: 38039368 PMCID: PMC10691773 DOI: 10.1126/sciadv.adi4927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 11/03/2023] [Indexed: 12/03/2023]
Abstract
In the mammalian brain, midbrain dopamine neuron activity is hypothesized to encode reward prediction errors that promote learning and guide behavior by causing rapid changes in dopamine levels in target brain regions. This hypothesis (and alternatives regarding dopamine's role in punishment-learning) has limited direct evidence in humans. We report intracranial, subsecond measurements of dopamine release in human striatum measured, while volunteers (i.e., patients undergoing deep brain stimulation surgery) performed a probabilistic reward and punishment learning choice task designed to test whether dopamine release encodes only reward prediction errors or whether dopamine release may also encode adaptive punishment learning signals. Results demonstrate that extracellular dopamine levels can encode both reward and punishment prediction errors within distinct time intervals via independent valence-specific pathways in the human brain.
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Affiliation(s)
- L. Paul Sands
- Neuroscience Graduate Program, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
- Department of Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Angela Jiang
- Department of Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Brittany Liebenow
- Neuroscience Graduate Program, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
- Department of Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Emily DiMarco
- Neuroscience Graduate Program, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
- Department of Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Adrian W. Laxton
- Department of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Stephen B. Tatter
- Department of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - P. Read Montague
- Wellcome Centre for Human Neuroimaging, University College London, WC1N 3BG London, UK
- Fralin Biomedical Research Institute, Virginia Tech, Roanoke, VA 24016, USA
- Department of Physics, Virginia Tech, Blacksburg, VA 24061, USA
| | - Kenneth T. Kishida
- Neuroscience Graduate Program, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
- Department of Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
- Department of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
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6
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Bang D, Luo Y, Barbosa LS, Batten SR, Hadj-Amar B, Twomey T, Melville N, White JP, Torres A, Celaya X, Ramaiah P, McClure SM, Brewer GA, Bina RW, Lohrenz T, Casas B, Chiu PH, Vannucci M, Kishida KT, Witcher MR, Montague PR. Noradrenaline tracks emotional modulation of attention in human amygdala. Curr Biol 2023; 33:5003-5010.e6. [PMID: 37875110 PMCID: PMC10957395 DOI: 10.1016/j.cub.2023.09.074] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 09/01/2023] [Accepted: 09/29/2023] [Indexed: 10/26/2023]
Abstract
The noradrenaline (NA) system is one of the brain's major neuromodulatory systems; it originates in a small midbrain nucleus, the locus coeruleus (LC), and projects widely throughout the brain.1,2 The LC-NA system is believed to regulate arousal and attention3,4 and is a pharmacological target in multiple clinical conditions.5,6,7 Yet our understanding of its role in health and disease has been impeded by a lack of direct recordings in humans. Here, we address this problem by showing that electrochemical estimates of sub-second NA dynamics can be obtained using clinical depth electrodes implanted for epilepsy monitoring. We made these recordings in the amygdala, an evolutionarily ancient structure that supports emotional processing8,9 and receives dense LC-NA projections,10 while patients (n = 3) performed a visual affective oddball task. The task was designed to induce different cognitive states, with the oddball stimuli involving emotionally evocative images,11 which varied in terms of arousal (low versus high) and valence (negative versus positive). Consistent with theory, the NA estimates tracked the emotional modulation of attention, with a stronger oddball response in a high-arousal state. Parallel estimates of pupil dilation, a common behavioral proxy for LC-NA activity,12 supported a hypothesis that pupil-NA coupling changes with cognitive state,13,14 with the pupil and NA estimates being positively correlated for oddball stimuli in a high-arousal but not a low-arousal state. Our study provides proof of concept that neuromodulator monitoring is now possible using depth electrodes in standard clinical use.
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Affiliation(s)
- Dan Bang
- Center of Functionally Integrative Neuroscience, Aarhus University, 8000 Aarhus, Denmark; Wellcome Centre for Human Neuroimaging, University College London, London WC1N 3BG, UK; Department of Experimental Psychology, University of Oxford, Oxford OX2 6GG, UK; Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, VA 24016, USA.
| | - Yi Luo
- Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, VA 24016, USA; Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, East China Normal University, Shanghai 200050, China
| | - Leonardo S Barbosa
- Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, VA 24016, USA; Department of Psychiatry, University of Wisconsin-Madison, Madison, WI 53719, USA
| | - Seth R Batten
- Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, VA 24016, USA
| | | | - Thomas Twomey
- Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, VA 24016, USA
| | - Natalie Melville
- Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, VA 24016, USA
| | - Jason P White
- Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, VA 24016, USA
| | - Alexis Torres
- Department of Psychology, Arizona State University, Tempe, AZ 85281, USA
| | - Xavier Celaya
- Department of Psychology, Arizona State University, Tempe, AZ 85281, USA
| | - Priya Ramaiah
- Department of Neurosurgery, Banner University Medical Center, Phoenix, AZ 85006, USA
| | - Samuel M McClure
- Department of Psychology, Arizona State University, Tempe, AZ 85281, USA
| | - Gene A Brewer
- Department of Psychology, Arizona State University, Tempe, AZ 85281, USA
| | - Robert W Bina
- Department of Neurosurgery, Banner University Medical Center, Phoenix, AZ 85006, USA
| | - Terry Lohrenz
- Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, VA 24016, USA
| | - Brooks Casas
- Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, VA 24016, USA; Department of Psychology, Virginia Tech, Blacksburg, VA 24060, USA
| | - Pearl H Chiu
- Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, VA 24016, USA; Department of Psychology, Virginia Tech, Blacksburg, VA 24060, USA
| | - Marina Vannucci
- Department of Statistics, Rice University, Houston, TX 77005, USA
| | - Kenneth T Kishida
- Department of Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA; Department of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Mark R Witcher
- Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, VA 24016, USA; Division of Neurosurgery, Virginia Tech Carilion School of Medicine, Roanoke, VA 24014, USA
| | - P Read Montague
- Wellcome Centre for Human Neuroimaging, University College London, London WC1N 3BG, UK; Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, VA 24016, USA; Department of Physics, Virginia Tech, Blacksburg, VA 24061, USA.
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7
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Liebenow B, Wilson T, Maas B, Aladnani E, Moran RJ, White J, Lohrenz T, Haq IU, Siddiqui MS, Laxton AW, Tatter SB, Montague PR, Kishida KT. Sub-second Dopamine Signals during Risky Decision-Making in Patients with Impulse Control Disorder. bioRxiv 2023:2023.09.11.557178. [PMID: 37745618 PMCID: PMC10515865 DOI: 10.1101/2023.09.11.557178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
Background Impulse Control Disorder (ICD) in Parkinson's disease is a behavioral addiction arising secondary to dopaminergic therapies, most often dopamine receptor agonists. Prior research implicates changes in striatal function and heightened dopaminergic activity in the dorsal striatum of patients with ICD. However, this prior work does not possess the temporal resolution required to investigate dopaminergic signaling during real-time progression through various stages of decision-making involving anticipation and feedback. Methods We recorded high-frequency (10Hz) measurements of extracellular dopamine in the striatum of patients with (N=3) and without (N=3) a history of ICD secondary to dopamine receptor agonist therapy for Parkinson's disease symptoms. These measurements were made using carbon fiber microelectrodes during awake DBS neurosurgery and while participants performed a sequential decision-making task involving risky investment decisions and real monetary gains and losses. Per clinical standard-of-care, participants withheld all dopaminergic medications prior to the procedure. Results Patients with ICD invested significantly more money than patients without ICD. On each trial, patients with ICD made smaller adjustments to their investment levels compared to patients without ICD. In patients with ICD, dopamine levels rose or fell on sub-second timescales in anticipation of investment outcomes consistent with increased or decreased confidence in a positive outcome, respectively; dopamine levels in patients without ICD were significantly more stable during this phase. After outcome revelation, dopamine levels in patients with ICD rose significantly more than in inpatients without ICD for better-than-expected gains. For worse-than-expected losses, dopamine levels in patients with ICD remained level whereas dopamine levels in patients without ICD fell. Conclusion We report significantly increased risky behavior and exacerbated phasic dopamine signaling, on sub-second timescales, anticipating and following the revelation of the outcomes of risky decisions in patients with ICD. Notably, these results were obtained when patients who had demonstrated ICD in the past but were, at the time of surgery, in an off-medication state. Thus, it is unclear whether observed signals reflect an inherent predisposition for ICD that was revealed when dopamine receptor agonists were introduced or whether these observations were caused by the introduction of dopamine receptor agonists and the patients having experienced ICD symptoms in the past. Regardless, future work investigating dopamine's role in human cognition, behavior, and disease should consider the signals this system generates on sub-second timescales.
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8
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Holmes N, Rea M, Hill RM, Boto E, Leggett J, Edwards LJ, Rhodes N, Shah V, Osborne J, Fromhold TM, Glover P, Montague PR, Brookes MJ, Bowtell R. Naturalistic Hyperscanning with Wearable Magnetoencephalography. Sensors (Basel) 2023; 23:5454. [PMID: 37420622 DOI: 10.3390/s23125454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 05/31/2023] [Accepted: 06/06/2023] [Indexed: 07/09/2023]
Abstract
The evolution of human cognitive function is reliant on complex social interactions which form the behavioural foundation of who we are. These social capacities are subject to dramatic change in disease and injury; yet their supporting neural substrates remain poorly understood. Hyperscanning employs functional neuroimaging to simultaneously assess brain activity in two individuals and offers the best means to understand the neural basis of social interaction. However, present technologies are limited, either by poor performance (low spatial/temporal precision) or an unnatural scanning environment (claustrophobic scanners, with interactions via video). Here, we describe hyperscanning using wearable magnetoencephalography (MEG) based on optically pumped magnetometers (OPMs). We demonstrate our approach by simultaneously measuring brain activity in two subjects undertaking two separate tasks-an interactive touching task and a ball game. Despite large and unpredictable subject motion, sensorimotor brain activity was delineated clearly, and the correlation of the envelope of neuronal oscillations between the two subjects was demonstrated. Our results show that unlike existing modalities, OPM-MEG combines high-fidelity data acquisition and a naturalistic setting and thus presents significant potential to investigate neural correlates of social interaction.
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Affiliation(s)
- Niall Holmes
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham NG7 2RD, UK
- Cerca Magnetics Limited, Unit 2 Castlebridge Office Village, Kirtley Drive, Nottingham NG7 1LD, UK
| | - Molly Rea
- Cerca Magnetics Limited, Unit 2 Castlebridge Office Village, Kirtley Drive, Nottingham NG7 1LD, UK
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham NG7 2RD, UK
| | - Ryan M Hill
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham NG7 2RD, UK
- Cerca Magnetics Limited, Unit 2 Castlebridge Office Village, Kirtley Drive, Nottingham NG7 1LD, UK
| | - Elena Boto
- Cerca Magnetics Limited, Unit 2 Castlebridge Office Village, Kirtley Drive, Nottingham NG7 1LD, UK
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham NG7 2RD, UK
| | - James Leggett
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham NG7 2RD, UK
| | - Lucy J Edwards
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham NG7 2RD, UK
| | - Natalie Rhodes
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham NG7 2RD, UK
| | - Vishal Shah
- QuSpin Inc., 331 South 104th Street, Suite 130, Louisville, CO 80027, USA
| | - James Osborne
- QuSpin Inc., 331 South 104th Street, Suite 130, Louisville, CO 80027, USA
| | - T Mark Fromhold
- School of Physics and Astronomy, University of Nottingham, University Park, Nottingham NG7 2RD, UK
| | - Paul Glover
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham NG7 2RD, UK
| | - P Read Montague
- Fralin Biomedical Research Institute, Department of Physics, Virginia Tech, Roanoke, VA 24016, USA
| | - Matthew J Brookes
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham NG7 2RD, UK
- Cerca Magnetics Limited, Unit 2 Castlebridge Office Village, Kirtley Drive, Nottingham NG7 1LD, UK
| | - Richard Bowtell
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham NG7 2RD, UK
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9
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Wendt LP, Jankowsky K, Schroeders U, Nolte T, Fonagy P, Montague PR, Zimmermann J, Olaru G. Mapping established psychopathology scales onto the Hierarchical Taxonomy of Psychopathology (HiTOP). Personal Ment Health 2022; 17:117-134. [PMID: 36162810 DOI: 10.1002/pmh.1566] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 08/18/2022] [Accepted: 08/23/2022] [Indexed: 11/05/2022]
Abstract
The Hierarchical Taxonomy of Psychopathology (HiTOP) organizes phenotypes of mental disorder based on empirical covariation, offering a comprehensive organizational framework from narrow symptoms to broader patterns of psychopathology. We argue that established self-report measures of psychopathology from the pre-HiTOP era should be systematically integrated into HiTOP to foster cumulative research and further the understanding of psychopathology structure. Hence, in this study, we mapped 92 established psychopathology (sub)scales onto the current HiTOP working model using data from an extensive battery of self-report assessments that was completed by community participants and outpatients (N = 909). Content validity ratings of the item pool were used to select indicators for a bifactor-(S-1) model of the p factor and five HiTOP spectra (i.e., internalizing, thought disorder, detachment, disinhibited externalizing, and antagonistic externalizing). The content-based HiTOP scales were validated against personality disorder diagnoses as assessed by standardized interviews. We then located established scales within the taxonomy by estimating the extent to which scales reflected higher-level HiTOP dimensions. The analyses shed light on the location of established psychopathology scales in HiTOP, identifying pure markers and blends of HiTOP spectra, as well as pure markers of the p factor (i.e., scales assessing mentalizing impairment and suspiciousness/epistemic mistrust).
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Affiliation(s)
- Leon P Wendt
- Department of Psychology, University of Kassel, Kassel, Germany
| | | | | | | | - Tobias Nolte
- Wellcome Trust Centre for Neuroimaging, University College London, London, UK.,Anna Freud National Centre for Children and Families, London, UK
| | - Peter Fonagy
- Anna Freud National Centre for Children and Families, London, UK.,Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - P Read Montague
- Wellcome Trust Centre for Neuroimaging, University College London, London, UK.,Fralin Biomedical Research Institute, Department of Psychology, Virginia Tech, Roanoke, Virginia, USA
| | | | - Gabriel Olaru
- Department of Developmental Psychology, Tilburg University, Tilburg, Netherlands
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10
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Luo Y, Mendoza C, Pelfrey S, Lohrenz T, Gu X, Montague PR, McAdams CJ. Elevated Neurobehavioral Responses to Negative Social Interactions in Women With Bulimia Nervosa. Biol Psychiatry Cogn Neurosci Neuroimaging 2022; 7:696-705. [PMID: 33561543 PMCID: PMC8342632 DOI: 10.1016/j.bpsc.2021.01.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 01/27/2021] [Accepted: 01/27/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND Bulimia nervosa (BN) is a complex psychiatric illness that includes binge-purge behaviors and a belief that one's value as a person depends on body shape and weight. Social pressure strongly influences the development and maintenance of BN, but how this manifests neurobiologically within an individual remains unknown. We used a computational psychiatry approach to evaluate neural mechanisms underlying social interactions in BN. METHODS Behavioral and functional magnetic resonance imaging data were collected from 24 women with BN and 26 healthy comparison women using an iterated social exchange game. Data were sorted round by round based on whether the mathematically computed social signals indicated an improving (positive reciprocity) or deteriorating (negative reciprocity) relationship for each participant. RESULTS Social interactions with negative reciprocity resulted in more negative behavioral responses and stronger neural activations in both cortical and subcortical regions in women with BN than healthy comparison women. No behavioral or neural differences were observed for interactions demonstrating positive reciprocity, suggesting a very specific form of psychopathology in BN: amplification of negative self-relevant social interactions. Cortical activations (e.g., temporoparietal junction and dorsolateral prefrontal cortex) did not covary with mood symptoms, while subcortical activations (e.g., amygdala and dorsal striatum) were associated with acute psychopathology. CONCLUSIONS These data provide a first step toward a mechanistic neuropsychological model of aberrant social processing in BN, demonstrating how a computational psychiatric approach can elucidate neural mechanisms for complex psychiatric illnesses. Future treatments for BN may include targeting neural regions that support these negative biases in social perceptions.
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Affiliation(s)
- Yi Luo
- Fralin Biomedical Research Institute at VTC, Virginia Polytechnic Institute and State University, Roanoke, Virginia
| | | | - Sarah Pelfrey
- Department of Psychiatry, UT Southwestern Medical School, Dallas, Texas
| | - Terry Lohrenz
- Fralin Biomedical Research Institute at VTC, Virginia Polytechnic Institute and State University, Roanoke, Virginia
| | - Xiaosi Gu
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York; Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York
| | - P Read Montague
- Fralin Biomedical Research Institute at VTC, Virginia Polytechnic Institute and State University, Roanoke, Virginia; Department of Physics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia; Virginia Tech-Wake Forest University School of Biomedical Engineering and Mechanics, Blacksburg, Virginia; Wellcome Centre for Human Neuroimaging, University College London, London, United Kingdom
| | - Carrie J McAdams
- Department of Psychiatry, UT Southwestern Medical School, Dallas, Texas.
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11
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Stagaki M, Nolte T, Feigenbaum J, King-Casas B, Lohrenz T, Fonagy P, Montague PR. The mediating role of attachment and mentalising in the relationship between childhood maltreatment, self-harm and suicidality. Child Abuse Negl 2022; 128:105576. [PMID: 35313127 PMCID: PMC10466023 DOI: 10.1016/j.chiabu.2022.105576] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Revised: 01/01/2022] [Accepted: 02/17/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Although the relationship between childhood maltreatment, self-harm and suicidality is well-established, less is known about the mediating mechanisms explaining it. Based on a developmental mentalisation-based theoretical framework, childhood adversity compromises mentalising ability and attachment security, which in turn increase vulnerability to later stressors in adulthood. OBJECTIVE This study aimed to investigate the role of attachment and mentalising as potential mechanisms in the relationship between childhood maltreatment, self-harm and suicidality. PARTICIPANTS AND SETTING We recruited 907 adults from clinical and community settings in Greater London. METHODS The study design was cross-sectional. Participants completed self-report questionnaires on retrospectively rated childhood trauma, and current attachment to the romantic partner, mentalising, self-harm, suicidal ideation and attempt. We used structural equation modelling to examine the data and conceptualized childhood maltreatment as a general factor in a confirmatory bifactor model. RESULTS The results showed that childhood maltreatment was both directly associated with self-harm and suicidality and indirectly via the pathways of attachment and mentalising. CONCLUSIONS These findings indicate that insecure attachment and impaired mentalising partially explain the association between childhood maltreatment, self-harm and suicidality. Clinically, they provide support for the potential of mentalisation-based therapy or other psychosocial interventions that aim to mitigate the risk of self-harm and suicidality among individuals who have experienced childhood maltreatment via increasing understanding of self and other mental states.
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Affiliation(s)
- Maria Stagaki
- Division of Psychiatry, University College London, London, United Kingdom.
| | - Tobias Nolte
- Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom; Anna Freud National Centre for Children and Families, London, United Kingdom
| | - Janet Feigenbaum
- Research Department of Clinical, Educational and Health Psychology, University College London, London, United Kingdom
| | - Brooks King-Casas
- Fralin Biomedical Research Institute, Department of Psychology, Virginia Tech, Roanoke, VA, United States of America
| | - Terry Lohrenz
- Fralin Biomedical Research Institute, Department of Psychology, Virginia Tech, Roanoke, VA, United States of America
| | - Peter Fonagy
- Anna Freud National Centre for Children and Families, London, United Kingdom; Research Department of Clinical, Educational and Health Psychology, University College London, London, United Kingdom
| | - P Read Montague
- Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom; Fralin Biomedical Research Institute, Department of Psychology, Virginia Tech, Roanoke, VA, United States of America; Department of Physics, Virginia Tech, Blacksburg, VA, United States of America; Department of Psychiatry and Behavioral Medicine, Virginia Tech Carilion School of Medicine, Virginia Tech, Roanoke, VA, United States of America
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12
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Hula A, Moutoussis M, Will GJ, Kokorikou D, Reiter AM, Ziegler G, Bullmore ED, Jones PB, Goodyer I, Fonagy P, Montague PR, Dolan RJ. Multi-Round Trust Game Quantifies Inter-Individual Differences in Social Exchange from Adolescence to Adulthood. Comput Psychiatr 2021; 5:102-118. [PMID: 35656356 PMCID: PMC7612797 DOI: 10.5334/cpsy.65] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Investing in strangers in a socio-economic exchange is risky, as we may be uncertain whether they will reciprocate. Nevertheless, the potential rewards for cooperating can be great. Here, we used a cross sectional sample (n = 784) to study how the challenges of cooperation versus defection are negotiated across an important period of the lifespan: from adolescence to young adulthood (ages 14 to 25). We quantified social behaviour using a multi round investor-trustee task, phenotyping individuals using a validated model whose parameters characterise patterns of real exchange and constitute latent social characteristics. We found highly significant differences in investment behaviour according to age, sex, socio-economic status and IQ. Consistent with the literature, we showed an overall trend towards higher trust from adolescence to young adulthood but, in a novel finding, we characterized key cognitive mechanisms explaining this, especially regarding socio-economic risk aversion. Males showed lower risk-aversion, associated with greater investments. We also found that inequality aversion was higher in females and, in a novel relation, that socio-economic deprivation was associated with more risk averse play.
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Affiliation(s)
- Andreas Hula
- Austrian Insitute of Technology, Vienna, Austria
| | - Michael Moutoussis
- Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom
| | - Geert-Jan Will
- Institute of Psychology, Leiden University, Leiden, the Netherlands
| | | | - Andrea M Reiter
- Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom; Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Germany; Department of Neurology, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Gabriel Ziegler
- Centre for Cognitive Neurology and Dementia Research, Magdeburg, Germany; German Center for Neurodegenerative Diseases, Magdeburg, Germany
| | - E D Bullmore
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom; Cambridgeshire and Peterborough National Health Service Foundation Trust, Cambridge, United Kingdom; Medical Research Council/Wellcome Trust Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, United Kingdom; Max Planck University College London Centre for Computational Psychiatry, London, United Kingdom
| | - Peter B Jones
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom; Cambridgeshire and Peterborough National Health Service Foundation Trust, Cambridge, United Kingdom
| | - Ian Goodyer
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom; Cambridgeshire and Peterborough National Health Service Foundation Trust, Cambridge, United Kingdom
| | - Peter Fonagy
- Anna Freud Centre, London, United Kingdom; Research Department of Clinical, Educational and Health Psychology, University College London, United Kingdom
| | - P Read Montague
- Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom; Human Neuroimaging Laboratory, Virginia Tech Carilion Research Institute, Roanoke, Virginia, United States of America; Department of Physics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, United States of America
| | - Raymond J Dolan
- Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom; Max Planck University College London Centre for Computational Psychiatry, London, United Kingdom
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13
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Euler S, Nolte T, Constantinou M, Griem J, Montague PR, Fonagy P. Interpersonal Problems in Borderline Personality Disorder: Associations With Mentalizing, Emotion Regulation, and Impulsiveness. J Pers Disord 2021; 35:177-193. [PMID: 30920937 DOI: 10.1521/pedi_2019_33_427] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Interpersonal problems are a core symptom of borderline personality disorder (BPD). This study investigated the relationship between emotion dysregulation, impulsiveness, and impaired mentalizing in the context of predicting interpersonal problems in BPD. A total of 210 patients with BPD completed the Difficulties in Emotion Regulation Scale (DERS), Barratt Impulsiveness Scale (BIS-11), Reflective Functioning Questionnaire (RFQ), and Inventory of Interpersonal Problems (IIP-32). The authors conducted three path models, with either mentalizing, emotion regulation, or impulsiveness as the exogenous variable. Emotion dysregulation and attentional impulsiveness predicted interpersonal problems directly, whereas hypomentalizing predicted interpersonal problems only indirectly throughout emotion dysregulation and attentional impulsiveness. The results suggest that these domains contribute significantly to interpersonal problems in BPD. Moreover, hypomentalizing might affect on interpersonal problems via its effect on impulsiveness and emotion regulation. The authors argue that focusing on emotion regulation and mentalizing in BPD treatments might have interlinked beneficial effects on interpersonal problems.
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Affiliation(s)
- Sebastian Euler
- Department of Psychiatry, University of Basel, Basel, Switzerland, Department of Consultation Psychiatry and Psychosomatics, University Hospital of Zürich, Zürich, Switzerland, and University College London, London, UK
| | - Tobias Nolte
- Research Department of Clinical, Educational and Health Psychology, University College London.,Wellcome Centre for Human Neuroimaging, University College London
| | - Matthew Constantinou
- Research Department of Clinical, Educational and Health Psychology, University College London
| | - Julia Griem
- Research Department of Clinical, Educational and Health Psychology, University College London
| | - P Read Montague
- Fralin Biomedical Research Institute and Department of Physics, Virginia Tech Carilion Research Institute, Roanoke, Virginia.,Wellcome Centre for Human Neuroimaging, University College London
| | - Peter Fonagy
- Research Department of Clinical, Educational and Health Psychology, University College London
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14
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Bang D, Kishida KT, Lohrenz T, White JP, Laxton AW, Tatter SB, Fleming SM, Montague PR. Sub-second Dopamine and Serotonin Signaling in Human Striatum during Perceptual Decision-Making. Neuron 2020; 108:999-1010.e6. [PMID: 33049201 PMCID: PMC7736619 DOI: 10.1016/j.neuron.2020.09.015] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 07/30/2020] [Accepted: 09/10/2020] [Indexed: 01/16/2023]
Abstract
Recent animal research indicates that dopamine and serotonin, neuromodulators traditionally linked to appetitive and aversive processes, are also involved in sensory inference and decisions based on such inference. We tested this hypothesis in humans by monitoring sub-second striatal dopamine and serotonin signaling during a visual motion discrimination task that separates sensory uncertainty from decision difficulty in a factorial design. Caudate nucleus recordings (n = 4) revealed multi-scale encoding: in three participants, serotonin tracked sensory uncertainty, and, in one participant, both dopamine and serotonin tracked deviations from expected trial transitions within our factorial design. Putamen recordings (n = 1) supported a cognition-action separation between caudate nucleus and putamen—a striatal sub-division unique to primates—with both dopamine and serotonin tracking decision times. These first-of-their-kind observations in the human brain reveal a role for sub-second dopamine and serotonin signaling in non-reward-based aspects of cognition and action. Dopamine and serotonin are measured in human striatum during awake decision-making Serotonin tracks sensory uncertainty in caudate nucleus Dopamine and serotonin track sensory statistics in caudate nucleus Dopamine and serotonin track decision times in putamen
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Affiliation(s)
- Dan Bang
- Wellcome Centre for Human Neuroimaging, University College London, London WC1N 3AR, UK; Department of Experimental Psychology, University of Oxford, Oxford OX2 6GG, UK.
| | - Kenneth T Kishida
- Department of Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA; Department of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA.
| | - Terry Lohrenz
- Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, VA 24016, USA
| | - Jason P White
- Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, VA 24016, USA
| | - Adrian W Laxton
- Department of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Stephen B Tatter
- Department of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Stephen M Fleming
- Wellcome Centre for Human Neuroimaging, University College London, London WC1N 3AR, UK; Department of Experimental Psychology, University College London, London WC1H 0AP, UK; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, WC1B 5EH, UK
| | - P Read Montague
- Wellcome Centre for Human Neuroimaging, University College London, London WC1N 3AR, UK; Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, VA 24016, USA; Department of Physics, Virginia Tech, Blacksburg, VA 24061, USA
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15
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Huang YL, Fonagy P, Feigenbaum J, Montague PR, Nolte T. Multidirectional Pathways between Attachment, Mentalizing, and Posttraumatic Stress Symptomatology in the Context of Childhood Trauma. Psychopathology 2020; 53:48-58. [PMID: 32294649 PMCID: PMC7265765 DOI: 10.1159/000506406] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Accepted: 02/08/2020] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Exposure to traumatic stressful events in childhood is an important risk factor for the development of posttraumatic symptomatology. From a mentalization-based developmental perspective, childhood adversity can affect attachment in children and may result in insecure attachment and impaired mentalizing abilities, which increase the lifetime risk for psychopathology. The present cross-sectional study examined the potential mediating role of attachment insecurity and impaired mentalizing on the relationship between childhood trauma and posttraumatic symptomatology. METHOD Adults who had experienced childhood neglect and abuse (n = 295, 184 patients with personality disorder and 111 community controls) completed self-report measures of posttraumatic stress disorder (PTSD) symptoms, dissociative experiences, adult attachment insecurity, and mentalizing. RESULTS Structural equation modelling results revealed that attachment insecurity together with lower mentalizing mediated the link between childhood trauma and PTSD symptoms, and lower mentalizing mediated the link between childhood trauma and dissociative experiences. CONCLUSION The findings show that attachment insecurity and lower mentalizing play significant mediating roles in the reporting of posttraumatic symptomatology among survivors of childhood abuse and neglect, with treatment implications for mentalization-based therapy as beneficial for individuals with a history of childhood trauma.
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Affiliation(s)
- Yu Lien Huang
- Department of Psychology, Fo Guang University, Yilan, Taiwan
| | - Peter Fonagy
- Research Department of Clinical, Educational and Health Psychology, UCL, London, United Kingdom
| | - Janet Feigenbaum
- Research Department of Clinical, Educational and Health Psychology, UCL, London, United Kingdom
| | - P Read Montague
- Wellcome Trust Centre for Neuroimaging, Institute of Neurology, UCL, London, United Kingdom.,Computational Psychiatry Unit, Virginia Tech Carilion Research Institute, Roanoke, Virginia, USA
| | - Tobias Nolte
- Wellcome Trust Centre for Neuroimaging, Institute of Neurology, UCL, London, United Kingdom, .,Anna Freud National Centre for Children and Families, London, United Kingdom,
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16
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Kappes A, Harvey AH, Lohrenz T, Montague PR, Sharot T. Confirmation bias in the utilization of others' opinion strength. Nat Neurosci 2019; 23:130-137. [PMID: 31844311 DOI: 10.1038/s41593-019-0549-2] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Accepted: 10/25/2019] [Indexed: 11/09/2022]
Abstract
Humans tend to discount information that undermines past choices and judgments. This confirmation bias has significant impact on domains ranging from politics to science and education. Little is known about the mechanisms underlying this fundamental characteristic of belief formation. Here we report a mechanism underlying the confirmation bias. Specifically, we provide evidence for a failure to use the strength of others' disconfirming opinions to alter confidence in judgments, but adequate use when opinions are confirmatory. This bias is related to reduced neural sensitivity to the strength of others' opinions in the posterior medial prefrontal cortex when opinions are disconfirming. Our results demonstrate that existing judgments alter the neural representation of information strength, leaving the individual less likely to alter opinions in the face of disagreement.
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Affiliation(s)
- Andreas Kappes
- Department of Psychology, City, University of London, London, UK.
| | - Ann H Harvey
- Museum of Science and Industry, Chicago, IL, USA
| | - Terry Lohrenz
- Fralin Biomedical Research Institute, Virginia Tech Carilion, Ronake, VA, USA
| | - P Read Montague
- Fralin Biomedical Research Institute, Virginia Tech Carilion, Ronake, VA, USA.,Wellcome Centre for Human Neuroimaging, University College London, London, UK
| | - Tali Sharot
- Affective Brain Lab, Department of Experimental Psychology, University College London, London, UK.
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17
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Wendt LP, Wright AGC, Pilkonis PA, Nolte T, Fonagy P, Montague PR, Benecke C, Krieger T, Zimmermann J. The latent structure of interpersonal problems: Validity of dimensional, categorical, and hybrid models. J Abnorm Psychol 2019; 128:823-839. [PMID: 31556632 PMCID: PMC6816327 DOI: 10.1037/abn0000460] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Interpersonal problems are key transdiagnostic constructs in psychopathology. In the past, investigators have neglected the importance of operationalizing interpersonal problems according to their latent structure by using divergent representations of the construct: (a) computing scores for severity, agency, and communion (“dimensional approach”), (b) classifying persons into subgroups with respect to their interpersonal profile (“categorical approach”). This hinders cumulative research on interpersonal problems, because findings cannot be integrated both from a conceptual and a statistical point of view. We provide a comprehensive evaluation of interpersonal problems by enlisting several large samples (Ns = 5,400, 491, 656, and 712) to estimate a set of latent variable candidate models, covering the spectrum of purely dimensional (i.e., confirmatory factor analysis using Gaussian and nonnormal latent t-distributions), hybrid (i.e., semiparametric factor analysis), and purely categorical approaches (latent class analysis). Statistical models were compared with regard to their structural validity, as evaluated by model fit (corrected Akaike’s information criterion and the Bayesian information criterion), and their concurrent validity, as defined by the models’ ability to predict relevant external variables. Across samples, the fully dimensional model performed best in terms of model fit, prediction, robustness, and parsimony. We found scant evidence that categorical and hybrid models provide incremental value for understanding interpersonal problems. Our results indicate that the latent structure of interpersonal problems is best represented by continuous dimensions, especially when one allows for nonnormal latent distributions. This study suggests that interpersonal problems are best characterized by continuous differences in severity and interpersonal style (i.e., agency and communion), and not by “types” of people.
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Affiliation(s)
| | | | - Paul A Pilkonis
- Department of Psychiatry, University of Pittsburgh School of Medicine
| | - Tobias Nolte
- Anna Freud National Centre for Children and Families
| | - Peter Fonagy
- Anna Freud National Centre for Children and Families
| | - P Read Montague
- Research Department of Clinical, Educational, and Health Psychology, University College London
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18
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Solway A, Lohrenz T, Montague PR. Loss Aversion Correlates With the Propensity to Deploy Model-Based Control. Front Neurosci 2019; 13:915. [PMID: 31555082 PMCID: PMC6743018 DOI: 10.3389/fnins.2019.00915] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Accepted: 08/16/2019] [Indexed: 11/13/2022] Open
Abstract
Reward-based decision making is thought to be driven by at least two different types of decision systems: a simple stimulus–response cache-based system which embodies the common-sense notion of “habit,” for which model-free reinforcement learning serves as a computational substrate, and a more deliberate, prospective, model-based planning system. Previous work has shown that loss aversion, a well-studied measure of how much more on average individuals weigh losses relative to gains during decision making, is reduced when participants take all possible decisions and outcomes into account including future ones, relative to when they myopically focus on the current decision. Model-based control offers a putative mechanism for implementing such foresight. Using a well-powered data set (N = 117) in which participants completed two different tasks designed to measure each of the two quantities of interest, and four models of choice data for these tasks, we found consistent evidence of a relationship between loss aversion and model-based control but in the direction opposite to that expected based on previous work: loss aversion had a positive relationship with model-based control. We did not find evidence for a relationship between either decision system and risk aversion, a related aspect of subjective utility.
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Affiliation(s)
- Alec Solway
- Virginia Tech Carilion Research Institute, Roanoke, VA, United States
| | - Terry Lohrenz
- Virginia Tech Carilion Research Institute, Roanoke, VA, United States
| | - P Read Montague
- Virginia Tech Carilion Research Institute, Roanoke, VA, United States.,Department of Physics, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States.,Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom
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19
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Kishida KT, De Asis-Cruz J, Treadwell-Deering D, Liebenow B, Beauchamp MS, Montague PR. Diminished single-stimulus response in vmPFC to favorite people in children diagnosed with Autism Spectrum Disorder. Biol Psychol 2019; 145:174-184. [PMID: 31051206 DOI: 10.1016/j.biopsycho.2019.04.009] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Revised: 04/22/2019] [Accepted: 04/24/2019] [Indexed: 11/26/2022]
Abstract
From an early age, individuals with autism spectrum disorder (ASD) spend less time engaged in social interaction compared to typically developing peers (TD). One reason behind this behavior may be that the brains of children diagnosed with ASD do not attribute enough value to potential social exchanges as compared to the brains of typically developing children; thus, potential social exchanges are avoided because other environmental stimuli are more highly valued by default. Neurobiological investigations into the mechanisms underlying value-based decision-making has shown that the ventral medial prefrontal cortex (vmPFC) is critical for encoding the expected outcome value of different actions corresponding to distinct environmental cues. Here, we tested the hypothesis that the responsiveness of the vmPFC in children diagnosed with ASD (compared to TD controls) is diminished for visual cues that represent highly valued social interaction. Using a passive picture viewing task and functional magnetic resonance imaging (fMRI) we measured the response of an a priori defined region of interest in the vmPFC in children diagnosed with ASD and an age-matched TD cohort. We show that the average response of the vmPFC is significantly diminished in the ASD group. Further, we demonstrate that a single-stimulus and less than 30 s of fMRI data are sufficient to differentiate the ASD and TD cohorts. These findings are consistent with the hypothesis that the brains of children with ASD do not encode the value of social exchange in the same manner as TD children. The latter finding suggests the possibility of utilizing single-stimulus fMRI as a potential biologically based diagnostic tool to augment traditional clinical approaches.
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Affiliation(s)
- Kenneth T Kishida
- Department of Physiology and Pharmacology, Department of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, NC, 27101, USA; Department of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, NC, 27101, USA; Neuroscience Graduate Program, Wake Forest University, Winston-Salem, NC, 27101, USA.
| | - Josepheen De Asis-Cruz
- Developing Brain Research Laboratory, Children's National Health System, Washington, D.C., 20010, USA.
| | - Diane Treadwell-Deering
- Swank Autism Center, Nemours Alfred I. duPont Hospital for Children, Wilmington, DE, 19803, USA.
| | - Brittany Liebenow
- Neuroscience Graduate Program, Wake Forest University, Winston-Salem, NC, 27101, USA.
| | - Michael S Beauchamp
- Departments of Neurosurgery and Neuroscience, Baylor College of Medicine, Houston, TX, 77030, USA.
| | - P Read Montague
- Fralin Biomedical Research Institute, Roanoke, VA, 24018, USA; Department of Physics, Virginia Tech, Blacksburg, VA, 24061, USA; The Wellcome Centre for Human Neuroimaging, University College London, London, UK.
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20
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Abstract
We summarize a new approach to neuromodulator detection that provides colocalized detection of dopamine, serotonin, and norepinephrine at subsecond timescales and promises to provide submillisecond estimates of the same. The methodology, elastic net electrochemistry, is used to estimate dopamine and serotonin in the striatum of conscious human subjects during active decision-making. We show a proof-of-principle example of the same method working on commercially available depth electrodes in common use for epilepsy monitoring and neurosurgical planning in humans, which further promises to make such electrodes sources of fast neuromodulator information never before available in human subjects. We discuss the implications of this methodology for making direct tests in humans of the computations carried by these three important neuromodulatory systems. The methods also promise great utility in model organisms, but this chapter focuses on the possibilities for human use.
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Affiliation(s)
- P Read Montague
- Department of Physics, Virginia Tech, Blacksburg, Virginia 24061, USA.,Wellcome Centre for Human Neuroimaging, University College London, London WC1N 3AR, United Kingdom.,Fralin Biomedical Research Institute, Virginia Tech, Roanoke, Virginia 24018, USA
| | - Kenneth T Kishida
- Department of Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, North Carolina 27101, USA.,Department of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, North Carolina 27101, USA
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21
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Luo Y, Hétu S, Lohrenz T, Hula A, Dayan P, Ramey SL, Sonnier-Netto L, Lisinski J, LaConte S, Nolte T, Fonagy P, Rahmani E, Montague PR, Ramey C. Early childhood investment impacts social decision-making four decades later. Nat Commun 2018; 9:4705. [PMID: 30459305 PMCID: PMC6246600 DOI: 10.1038/s41467-018-07138-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2018] [Accepted: 10/11/2018] [Indexed: 11/09/2022] Open
Abstract
Early childhood educational investment produces positive effects on cognitive and non-cognitive skills, health, and socio-economic success. However, the effects of such interventions on social decision-making later in life are unknown. We recalled participants from one of the oldest randomized controlled studies of early childhood investment-the Abecedarian Project (ABC)-to participate in well-validated interactive economic games that probe social norm enforcement and planning. We show that in a repeated-play ultimatum game, ABC participants who received high-quality early interventions strongly reject unequal division of money across players (disadvantageous or advantageous) even at significant cost to themselves. Using a multi-round trust game and computational modeling of social exchange, we show that the same intervention participants also plan further into the future. These findings suggest that high quality early childhood investment can result in long-term changes in social decision-making and promote social norm enforcement in order to reap future benefits.
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Affiliation(s)
- Yi Luo
- Virginia Tech Carilion Research Institute, Roanoke, VA, 24016, USA
| | - Sébastien Hétu
- Virginia Tech Carilion Research Institute, Roanoke, VA, 24016, USA.,Université de Montréal, Montreal, QC, H3C 3J7, Canada
| | - Terry Lohrenz
- Virginia Tech Carilion Research Institute, Roanoke, VA, 24016, USA
| | - Andreas Hula
- Austrian Institute of Technology, 1210, Vienna, Austria
| | - Peter Dayan
- Wellcome Trust Centre for Neuroimaging, University College London, 12 Queen Square, London, WC1E 6BT, UK.,Gatsby Computational Neuroscience Unit, University College London, London, WC1E 6BT, UK
| | | | | | | | - Stephen LaConte
- Virginia Tech Carilion Research Institute, Roanoke, VA, 24016, USA
| | - Tobias Nolte
- Wellcome Trust Centre for Neuroimaging, University College London, 12 Queen Square, London, WC1E 6BT, UK.,Anna Freud National Centre for Children and Families, 21 Maresfield Gardens, London, NW3 5SD, UK
| | - Peter Fonagy
- Anna Freud National Centre for Children and Families, 21 Maresfield Gardens, London, NW3 5SD, UK.,Research Department of Clinical, Educational and Health Psychology, University College London, Gower Street, London, WC1E 6BT, UK
| | - Elham Rahmani
- Psychiatry Department, Virginia Tech Carilion School of Medicine, Roanoke, VA, 24016, USA
| | - P Read Montague
- Virginia Tech Carilion Research Institute, Roanoke, VA, 24016, USA. .,Wellcome Trust Centre for Neuroimaging, University College London, 12 Queen Square, London, WC1E 6BT, UK.
| | - Craig Ramey
- Virginia Tech Carilion Research Institute, Roanoke, VA, 24016, USA
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22
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Hétu S, Luo Y, D'Ardenne K, Lohrenz T, Montague PR. Human substantia nigra and ventral tegmental area involvement in computing social error signals during the ultimatum game. Soc Cogn Affect Neurosci 2018; 12:1972-1982. [PMID: 28981876 PMCID: PMC5716153 DOI: 10.1093/scan/nsx097] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2016] [Accepted: 08/07/2017] [Indexed: 12/04/2022] Open
Abstract
As models of shared expectations, social norms play an essential role in our societies. Since our social environment is changing constantly, our internal models of it also need to change. In humans, there is mounting evidence that neural structures such as the insula and the ventral striatum are involved in detecting norm violation and updating internal models. However, because of methodological challenges, little is known about the possible involvement of midbrain structures in detecting norm violation and updating internal models of our norms. Here, we used high-resolution cardiac-gated functional magnetic resonance imaging and a norm adaptation paradigm in healthy adults to investigate the role of the substantia nigra/ventral tegmental area (SN/VTA) complex in tracking signals related to norm violation that can be used to update internal norms. We show that the SN/VTA codes for the norm’s variance prediction error (PE) and norm PE with spatially distinct regions coding for negative and positive norm PE. These results point to a common role played by the SN/VTA complex in supporting both simple reward-based and social decision making.
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Affiliation(s)
- Sébastien Hétu
- Virginia Tech Carilion Research Institute, 2 Riverside Circle, Roanoke, VA 24016, USA
| | - Yi Luo
- Virginia Tech Carilion Research Institute, 2 Riverside Circle, Roanoke, VA 24016, USA
| | - Kimberlee D'Ardenne
- Virginia Tech Carilion Research Institute, 2 Riverside Circle, Roanoke, VA 24016, USA
| | - Terry Lohrenz
- Virginia Tech Carilion Research Institute, 2 Riverside Circle, Roanoke, VA 24016, USA
| | - P Read Montague
- Virginia Tech Carilion Research Institute, 2 Riverside Circle, Roanoke, VA 24016, USA.,Welcome Trust Centre for Neuroimaging, University College London, 12 Queen Square, London WC1N 3BG, UK
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23
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Moran RJ, Kishida KT, Lohrenz T, Saez I, Laxton AW, Witcher MR, Tatter SB, Ellis TL, Phillips PEM, Dayan P, Montague PR. The Protective Action Encoding of Serotonin Transients in the Human Brain. Neuropsychopharmacology 2018; 43:1425-1435. [PMID: 29297512 PMCID: PMC5916372 DOI: 10.1038/npp.2017.304] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2017] [Revised: 10/01/2017] [Accepted: 11/28/2017] [Indexed: 01/14/2023]
Abstract
The role of serotonin in human brain function remains elusive due, at least in part, to our inability to measure rapidly the local concentration of this neurotransmitter. We used fast-scan cyclic voltammetry to infer serotonergic signaling from the striatum of 14 brains of human patients with Parkinson's disease. Here we report these novel measurements and show that they correlate with outcomes and decisions in a sequential investment game. We find that serotonergic concentrations transiently increase as a whole following negative reward prediction errors, while reversing when counterfactual losses predominate. This provides initial evidence that the serotonergic system acts as an opponent to dopamine signaling, as anticipated by theoretical models. Serotonin transients on one trial were also associated with actions on the next trial in a manner that correlated with decreased exposure to poor outcomes. Thus, the fluctuations observed for serotonin appear to correlate with the inhibition of over-reactions and promote persistence of ongoing strategies in the face of short-term environmental changes. Together these findings elucidate a role for serotonin in the striatum, suggesting it encodes a protective action strategy that mitigates risk and modulates choice selection particularly following negative environmental events.
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Affiliation(s)
- Rosalyn J Moran
- Department of Engineering Mathematics, School of Computer Science, Electrical and Electronic Engineering, and Engineering Mathematics, University of Bristol, Bristol, UK
| | - Kenneth T Kishida
- Department of Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, NC, USA,Department of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Terry Lohrenz
- Virginia Tech Carilion Research Institute, Virginia Tech, Roanoke, VA, USA
| | - Ignacio Saez
- Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA
| | - Adrian W Laxton
- Department of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Mark R Witcher
- Department of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Stephen B Tatter
- Department of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Thomas L Ellis
- Department of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Paul EM Phillips
- Department of Psychiatry & Behavioral Sciences, University of Washington, Seattle, WA, USA,Department of Pharmacology, University of Washington, Seattle, WA, USA
| | - Peter Dayan
- The Gatsby Computational Neuroscience Unit, University College London, London, UK
| | - P Read Montague
- Virginia Tech Carilion Research Institute, Virginia Tech, Roanoke, VA, USA,Department of Physics, Virginia Tech, Blacksburg, VA, USA,Wellcome Trust Centre for Neuroimaging, University College London, London, UK,Virginia Tech Carilion, Research Institute, 2 Riverside Circle, Roanoke, VA 24016, USA, Tel: +1 540 526 2006, Fax: +1 540 982 3805, E-mail:
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24
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Hula A, Vilares I, Lohrenz T, Dayan P, Montague PR. A model of risk and mental state shifts during social interaction. PLoS Comput Biol 2018; 14:e1005935. [PMID: 29447153 PMCID: PMC5831643 DOI: 10.1371/journal.pcbi.1005935] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2017] [Revised: 02/28/2018] [Accepted: 12/19/2017] [Indexed: 11/18/2022] Open
Abstract
Cooperation and competition between human players in repeated microeconomic games offer a window onto social phenomena such as the establishment, breakdown and repair of trust. However, although a suitable starting point for the quantitative analysis of such games exists, namely the Interactive Partially Observable Markov Decision Process (I-POMDP), computational considerations and structural limitations have limited its application, and left unmodelled critical features of behavior in a canonical trust task. Here, we provide the first analysis of two central phenomena: a form of social risk-aversion exhibited by the player who is in control of the interaction in the game; and irritation or anger, potentially exhibited by both players. Irritation arises when partners apparently defect, and it potentially causes a precipitate breakdown in cooperation. Failing to model one’s partner’s propensity for it leads to substantial economic inefficiency. We illustrate these behaviours using evidence drawn from the play of large cohorts of healthy volunteers and patients. We show that for both cohorts, a particular subtype of player is largely responsible for the breakdown of trust, a finding which sheds new light on borderline personality disorder. In multi-round games in which players can benefit by trusting each other, swift and catastrophic breakdowns can arise amidst otherwise efficient cooperation. We present a model that quantifies this as a form of anger, and we exploit novel algorithmic improvements in inference based on the model to examine exchanges involving healthy volunteers and people suffering from personality disorders. This provides a new view on the problems that can underlie social interactions.
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Affiliation(s)
- Andreas Hula
- Austrian Institute of Technology, Vienna, Austria
- * E-mail:
| | - Iris Vilares
- Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom
- Human Neuroimaging Laboratory, Virginia Tech Carilion Research Institute, Roanoke, Virginia, United States of America
| | - Terry Lohrenz
- Human Neuroimaging Laboratory, Virginia Tech Carilion Research Institute, Roanoke, Virginia, United States of America
| | - Peter Dayan
- Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom
- Gatsby Computational Unit, University College London, London, United Kingdom
| | - P. Read Montague
- Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom
- Human Neuroimaging Laboratory, Virginia Tech Carilion Research Institute, Roanoke, Virginia, United States of America
- Department of Physics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, United States of America
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25
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Adams RA, Albrecht MA, Anticevic A, Barch DM, Compte A, Culbreth A, Deco G, Demirtaş M, Dumont G, Frank MJ, Gold JM, Gutkin B, Heinzle J, Huys QJ, Krystal JH, Maex R, Murray JD, Ramirez-Mahaluf JP, Read Montague P, Redish A, Sheffield J, Stephan KE, Walters CJ, Waltz JA, Wang XJ. Contributors. Computational Psychiatry 2018. [DOI: 10.1016/b978-0-12-809825-7.01002-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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26
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Solway A, Gu X, Montague PR. Forgetting to Be Addicted: Reconsolidation and the Disconnection of Things Past. Biol Psychiatry 2017; 82:774-775. [PMID: 29110816 DOI: 10.1016/j.biopsych.2017.09.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2017] [Accepted: 09/20/2017] [Indexed: 11/15/2022]
Affiliation(s)
- Alec Solway
- Virginia Tech Carilion Research Institute, Virginia Tech, Blacksburg, Virginia.
| | - Xiaosi Gu
- Center for Brain Health, University of Texas at Dallas, Richardson, Texas
| | - P Read Montague
- Virginia Tech Carilion Research Institute, Virginia Tech, Blacksburg, Virginia; Department of Physics, Virginia Tech, Blacksburg, Virginia; Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom
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27
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Lohrenz T, Kishida KT, Montague PR. BOLD and its connection to dopamine release in human striatum: a cross-cohort comparison. Philos Trans R Soc Lond B Biol Sci 2017; 371:rstb.2015.0352. [PMID: 27574306 PMCID: PMC5003854 DOI: 10.1098/rstb.2015.0352] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/14/2016] [Indexed: 11/20/2022] Open
Abstract
Activity in midbrain dopamine neurons modulates the release of dopamine in terminal structures including the striatum, and controls reward-dependent valuation and choice. This fluctuating release of dopamine is thought to encode reward prediction error (RPE) signals and other value-related information crucial to decision-making, and such models have been used to track prediction error signals in the striatum as encoded by BOLD signals. However, until recently there have been no comparisons of BOLD responses and dopamine responses except for one clear correlation of these two signals in rodents. No such comparisons have been made in humans. Here, we report on the connection between the RPE-related BOLD signal recorded in one group of subjects carrying out an investment task, and the corresponding dopamine signal recorded directly using fast-scan cyclic voltammetry in a separate group of Parkinson's disease patients undergoing DBS surgery while performing the same task. The data display some correspondence between the signal types; however, there is not a one-to-one relationship. Further work is necessary to quantify the relationship between dopamine release, the BOLD signal and the computational models that have guided our understanding of both at the level of the striatum. This article is part of the themed issue ‘Interpreting BOLD: a dialogue between cognitive and cellular neuroscience’.
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Affiliation(s)
- Terry Lohrenz
- Virginia Tech Carilion Research Institute, Virginia Tech, Roanoke, VA, USA
| | - Kenneth T Kishida
- Virginia Tech Carilion Research Institute, Virginia Tech, Roanoke, VA, USA
| | - P Read Montague
- Virginia Tech Carilion Research Institute, Virginia Tech, Roanoke, VA, USA Department of Physics, Virginia Tech, Blacksburg, VA, USA Wellcome Trust Centre for Neuroimaging, London, UK
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28
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Luo Q, Ma Y, Bhatt MA, Montague PR, Feng J. The Functional Architecture of the Brain Underlies Strategic Deception in Impression Management. Front Hum Neurosci 2017; 11:513. [PMID: 29163095 PMCID: PMC5674276 DOI: 10.3389/fnhum.2017.00513] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2017] [Accepted: 10/09/2017] [Indexed: 12/22/2022] Open
Abstract
Impression management, as one of the most essential skills of social function, impacts one's survival and success in human societies. However, the neural architecture underpinning this social skill remains poorly understood. By employing a two-person bargaining game, we exposed three strategies involving distinct cognitive processes for social impression management with different levels of strategic deception. We utilized a novel adaptation of Granger causality accounting for signal-dependent noise (SDN), which captured the directional connectivity underlying the impression management during the bargaining game. We found that the sophisticated strategists engaged stronger directional connectivity from both dorsal anterior cingulate cortex and retrosplenial cortex to rostral prefrontal cortex, and the strengths of these directional influences were associated with higher level of deception during the game. Using the directional connectivity as a neural signature, we identified the strategic deception with 80% accuracy by a machine-learning classifier. These results suggest that different social strategies are supported by distinct patterns of directional connectivity among key brain regions for social cognition.
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Affiliation(s)
- Qiang Luo
- School of Life Sciences, Fudan University, Shanghai, China.,Institute of Science and Technology of Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Yina Ma
- State Key Laboratory of Cognitive Neuroscience and Learning, International Data Group, McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.,Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
| | - Meghana A Bhatt
- Virginia Tech Carilion Research Institute, Roanoke, VA, United States.,Department of Neuroscience, Baylor College of Medicine, Houston, TX, United States
| | - P Read Montague
- Virginia Tech Carilion Research Institute, Roanoke, VA, United States.,Department of Neuroscience, Baylor College of Medicine, Houston, TX, United States.,Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom
| | - Jianfeng Feng
- School of Life Sciences, Fudan University, Shanghai, China.,Institute of Science and Technology of Brain-Inspired Intelligence, Fudan University, Shanghai, China.,Shanghai Center for Mathematical Sciences, Shanghai, China.,Department of Computer Science, University of Warwick, Coventry, United Kingdom.,Collaborative Innovation Center for Brain Science, Fudan University, Shanghai, China
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29
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Abstract
The laboratory study of how humans and other animals trade-off value and time has a long and storied history, and is the subject of a vast literature. However, despite a long history of study, there is no agreed upon mechanistic explanation of how intertemporal choice preferences arise. Several theorists have recently proposed model-based reinforcement learning as a candidate framework. This framework describes a suite of algorithms by which a model of the environment, in the form of a state transition function and reward function, can be converted on-line into a decision. The state transition function allows the model-based system to make decisions based on projected future states, while the reward function assigns value to each state, together capturing the necessary components for successful intertemporal choice. Empirical work has also pointed to a possible relationship between increased prospection and reduced discounting. In the current paper, we look for direct evidence of a relationship between temporal discounting and model-based control in a large new data set (n = 168). However, testing the relationship under several different modeling formulations revealed no indication that the two quantities are related.
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Affiliation(s)
- Alec Solway
- Virginia Tech Carilion Research Institute, Roanoke, VA, USA
| | - Terry Lohrenz
- Virginia Tech Carilion Research Institute, Roanoke, VA, USA
| | - P Read Montague
- Virginia Tech Carilion Research Institute, Roanoke, VA, USA.,Department of Physics, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA.,Wellcome Trust Centre for Neuroimaging, University College London, London, UK
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30
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Abstract
Serotonin has been proposed as an opponent to dopamine. This review explores positive and negative value pathways for structuring this opponency. The positive and negative pathways co-mingle through transmitter cross-loading. Cross-loading is proposed as a way to tile ‘valence space.’
Recent experiments suggest that subsecond dopamine delivery to human striatum encodes a combination of reward prediction errors and counterfactual errors thus composing the actual with the possible into one neurochemical signal. Here, we present a model where the counterfactual part of these striatal dopamine fluctuations originates in another valuation system that shadows the dopamine system by acting as its near-antipode in terms of spike-rate encoding yet co-releases dopamine alongside its own native neurotransmitter. We show that such a hypothesis engenders important representational consequences where valence processing appears subject to the efficient encoding considerations common to the visual and auditory systems. This new perspective opens up important computational consequences for understanding how value-predicting information should integrate with sensory processing streams.
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Affiliation(s)
- P Read Montague
- Virginia Tech Carilion Research Institute & Dept Physics, Virginia Tech, USA; The Wellcome Trust Centre for Neuroimaging, University College London, WC1N 3BG, UK
| | - Kenneth T Kishida
- Virginia Tech Carilion Research Institute & Dept Physics, Virginia Tech, USA
| | - Rosalyn J Moran
- Department of Engineering Mathematics, University of Bristol, Bristol BS8 1UB, UK
| | - Terry M Lohrenz
- Virginia Tech Carilion Research Institute & Dept Physics, Virginia Tech, USA
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31
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Koffarnus MN, Johnson MW, Thompson-Lake DGY, Wesley MJ, Lohrenz T, Montague PR, Bickel WK. Cocaine-dependent adults and recreational cocaine users are more likely than controls to choose immediate unsafe sex over delayed safer sex. Exp Clin Psychopharmacol 2016; 24:297-304. [PMID: 27454677 PMCID: PMC5017011 DOI: 10.1037/pha0000080] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Cocaine users have a higher incidence of risky sexual behavior and HIV infection than nonusers. Our aim was to measure whether safer sex discount rates-a measure of the likelihood of having immediate unprotected sex versus waiting to have safer sex-differed between controls and cocaine users of varying severity. Of the 162 individuals included in the primary data analyses, 69 met the Diagnostic and Statistical Manual of Mental Disorders (4th ed., text rev.; DSM-IV-TR) criteria for cocaine dependence, 29 were recreational cocaine users who did not meet the dependence criteria, and 64 were controls. Participants completed the Sexual Discounting Task, which measures a person's likelihood of using a condom when one is immediately available and how that likelihood decreases as a function of delay to condom availability with regard to 4 images chosen by the participants of hypothetical sexual partners differing in perceived desirability and likelihood of having a sexually transmitted infection. When a condom was immediately available, the stated likelihood of condom use sometimes differed between cocaine users and controls, which depended on the image condition. Even after controlling for rates of condom use when one is immediately available, the cocaine-dependent and recreational users groups were more sensitive to delay to condom availability than controls. Safer sex discount rates were also related to intelligence scores. The Sexual Discounting Task identifies delay as a key variable that impacts the likelihood of using a condom among these groups and suggests that HIV prevention efforts may be differentially effective based on an individual's safer sex discount rate. (PsycINFO Database Record
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Affiliation(s)
- Mikhail N. Koffarnus
- Virginia Tech Carilion Research Institute, Virginia Tech, Roanoke, VA 24016, USA
| | - Matthew W. Johnson
- Behavioral Pharmacology Research Unit, Johns Hopkins University School of Medicine, Baltimore, MD 21224, USA
| | - Daisy G. Y. Thompson-Lake
- Menninger Department of Psychiatry and Behavioral Science, Baylor College of Medicine, Houston, TX 77030, USA
| | - Michael J. Wesley
- Virginia Tech Carilion Research Institute, Virginia Tech, Roanoke, VA 24016, USA
| | - Terry Lohrenz
- Virginia Tech Carilion Research Institute, Virginia Tech, Roanoke, VA 24016, USA
| | - P. Read Montague
- Virginia Tech Carilion Research Institute, Virginia Tech, Roanoke, VA 24016, USA
| | - Warren K. Bickel
- Virginia Tech Carilion Research Institute, Virginia Tech, Roanoke, VA 24016, USA
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32
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Gu X, Lohrenz T, Salas R, Baldwin PR, Soltani A, Kirk U, Cinciripini PM, Montague PR. Belief about Nicotine Modulates Subjective Craving and Insula Activity in Deprived Smokers. Front Psychiatry 2016; 7:126. [PMID: 27468271 PMCID: PMC4942468 DOI: 10.3389/fpsyt.2016.00126] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2016] [Accepted: 06/29/2016] [Indexed: 12/20/2022] Open
Abstract
Little is known about the specific neural mechanisms through which cognitive factors influence craving and associated brain responses, despite the initial success of cognitive therapies in treating drug addiction. In this study, we investigated how cognitive factors such as beliefs influence subjective craving and neural activities in nicotine-addicted individuals using model-based functional magnetic resonance imaging (fMRI) and neuropharmacology. Deprived smokers (N = 24) participated in a two-by-two balanced placebo design, which crossed beliefs about nicotine (told "nicotine" vs. told "no nicotine") with the nicotine content in a cigarette (nicotine vs. placebo) which participants smoked immediately before performing a fMRI task involving reward learning. Subjects' reported craving was measured both before smoking and after the fMRI session. We found that first, in the presence of nicotine, smokers demonstrated significantly reduced craving after smoking when told "nicotine in cigarette" but showed no change in craving when told "no nicotine." Second, neural activity in the insular cortex related to craving was only significant when smokers were told "nicotine" but not when told "no nicotine." Both effects were absent in the placebo condition. Third, insula activation related to computational learning signals was modulated by belief about nicotine regardless of nicotine's presence. These results suggest that belief about nicotine has a strong impact on subjective craving and insula responses related to both craving and learning in deprived smokers, providing insights into the complex nature of belief-drug interactions.
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Affiliation(s)
- Xiaosi Gu
- Wellcome Trust Centre for Neuroimaging, University College London, London, UK
- School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX, USA
| | - Terry Lohrenz
- Human Neuroimaging Laboratory, Virginia Tech Carilion Research Institute, Roanoke, VA, USA
| | - Ramiro Salas
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Philip R. Baldwin
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Alireza Soltani
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA
| | - Ulrich Kirk
- Institute of Psychology, University of Southern Denmark, Odense, Denmark
| | - Paul M. Cinciripini
- Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - P. Read Montague
- Wellcome Trust Centre for Neuroimaging, University College London, London, UK
- Human Neuroimaging Laboratory, Virginia Tech Carilion Research Institute, Roanoke, VA, USA
- Department of Physics, Virginia Polytechnic Institute, State University, Blacksburg, VA, USA
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McAdams CJ, Jeon-Slaughter H, Evans S, Lohrenz T, Montague PR, Krawczyk DC. Neural differences in self-perception during illness and after weight-recovery in anorexia nervosa. Soc Cogn Affect Neurosci 2016; 11:1823-1831. [PMID: 27354739 PMCID: PMC5091684 DOI: 10.1093/scan/nsw092] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2016] [Accepted: 06/22/2016] [Indexed: 02/06/2023] Open
Abstract
Anorexia nervosa (AN) is a severe mental illness characterized by problems with self-perception. Whole-brain neural activations in healthy women, women with AN and women in long-term weight recovery following AN were compared using two functional magnetic resonance imaging tasks probing different aspects of self-perception. The Social Identity-V2 task involved consideration about oneself and others using socially descriptive adjectives. Both the ill and weight-recovered women with AN engaged medial prefrontal cortex less than healthy women for self-relevant cognitions, a potential biological trait difference. Weight-recovered women also activated the inferior frontal gyri and dorsal anterior cingulate more for direct self-evaluations than for reflected self-evaluations, unlike both other groups, suggesting that recovery may include compensatory neural changes related to social perspectives. The Faces task compared viewing oneself to a stranger. Participants with AN showed elevated activity in the bilateral fusiform gyri for self-images, unlike the weight-recovered and healthy women, suggesting cognitive distortions about physical appearance are a state rather than trait problem in this disease. Because both ill and recovered women showed neural differences related to social self-perception, but only recovered women differed when considering social perspectives, these neurocognitive targets may be particularly important for treatment.
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Affiliation(s)
- Carrie J McAdams
- Department of Psychiatry, University of Texas at Southwestern Medical School, Dallas, TX 75390, USA .,Psychiatry, Texas Health Presbyterian Hospital of Dallas, Dallas, TX 75321, USA
| | - Haekyung Jeon-Slaughter
- Department of Psychiatry, University of Texas at Southwestern Medical School, Dallas, TX 75390, USA
| | - Siobahn Evans
- Department of Psychiatry, University of Texas at Southwestern Medical School, Dallas, TX 75390, USA
| | - Terry Lohrenz
- Virginia Tech Carilion Research Institute, Virginia Tech, Roanoke, VA 24016, USA
| | - P Read Montague
- Virginia Tech Carilion Research Institute, Virginia Tech, Roanoke, VA 24016, USA.,Computational Psychiatry Unit, Virginia Tech, Roanoke, VA 24016, USA.,Wellcome Trust Centre for Neuroimaging, University College London, 12 Queen Square, London, WCIN 3BG, UK.,Department of Physics, Virginia Tech, Blacksburg, VA 24061, USA
| | - Daniel C Krawczyk
- Department of Psychiatry, University of Texas at Southwestern Medical School, Dallas, TX 75390, USA.,Center for Brain Health, University of Texas at Dallas, Dallas, TX 75390, USA
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Kirk U, Gu X, Sharp C, Hula A, Fonagy P, Montague PR. Mindfulness training increases cooperative decision making in economic exchanges: Evidence from fMRI. Neuroimage 2016; 138:274-283. [PMID: 27266443 PMCID: PMC4954868 DOI: 10.1016/j.neuroimage.2016.05.075] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2016] [Revised: 05/25/2016] [Accepted: 05/26/2016] [Indexed: 12/04/2022] Open
Abstract
Emotions have been shown to exert influences on decision making during economic exchanges. Here we investigate the underlying neural mechanisms of a training regimen which is hypothesized to promote emotional awareness, specifically mindfulness training (MT). We test the hypothesis that MT increases cooperative economic decision making using fMRI in a randomized longitudinal design involving 8 weeks of either MT or active control training (CT). We find that MT results in an increased willingness to cooperate indexed by higher acceptance rates to unfair monetary offers in the Ultimatum Game. While controlling for acceptance rates of monetary offers between intervention groups, subjects in the MT and CT groups show differential brain activation patterns. Specifically, a subset of more cooperative MT subjects displays increased activation in the septal region, an area linked to social attachment, which may drive the increased willingness to express cooperative behavior in the MT cohort. Furthermore, MT resulted in attenuated activity in anterior insula compared with the CT group in response to unfair monetary offers post-training, which may suggest that MT enables greater ability to effectively regulate the anterior insula and thereby promotes social cooperation. Finally, functional connectivity analyses show a coupling between the septal region and posterior insula in the MT group, suggesting an integration of interoceptive inputs. Together, these results highlight that MT may be employed in contexts where emotional regulation is required to promote social cooperation.
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Affiliation(s)
- Ulrich Kirk
- Department of Psychology, University of Southern Denmark, 5230 Odense, Denmark
| | - Xiaosi Gu
- Center for Brain Health, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX 75235, USA
| | - Carla Sharp
- Department of Psychology, University of Houston, Houston, TX 77004, USA
| | - Andreas Hula
- Wellcome Trust Centre for Neuroimaging, University College London, London WC1N 3BG, UK
| | - Peter Fonagy
- Research Department of Clinical, Educational, and Health Psychology, University College London, London WC1E 6BT, UK; Anna Freud Centre, London NW3 5SD, UK
| | - P Read Montague
- Wellcome Trust Centre for Neuroimaging, University College London, London WC1N 3BG, UK; Human Neuroimaging Laboratory, Virginia Tech Carilion Research Institute, Roanoke, VA 24016, UK.
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Hétu S, Luo Y, Saez I, D'Ardenne K, Lohrenz T, Montague PR. Asymmetry in functional connectivity of the human habenula revealed by high-resolution cardiac-gated resting state imaging. Hum Brain Mapp 2016; 37:2602-15. [PMID: 27038008 PMCID: PMC4905773 DOI: 10.1002/hbm.23194] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2016] [Revised: 03/13/2016] [Accepted: 03/16/2016] [Indexed: 02/03/2023] Open
Abstract
The habenula is a hub for cognitive and emotional signals that are relayed to the aminergic centers in the midbrain and, thus, plays an important role in goal‐oriented behaviors. Although it is well described in rodents and non‐human primates, the habenula functional network remains relatively uncharacterized in humans, partly because of the methodological challenges associated with the functional magnetic resonance imaging of small structures in the brain. Using high‐resolution cardiac‐gated resting state imaging in healthy humans and precisely identifying each participants' habenula, we show that the habenula is functionally coupled with the insula, parahippocampus, thalamus, periaqueductal grey, pons, striatum and substantia nigra/ventral tegmental area complex. Furthermore, by separately examining and comparing the functional maps from the left and right habenula, we provide the first evidence of an asymmetry in the functional connectivity of the habenula in humans. Hum Brain Mapp 37:2602–2615, 2016. © 2016 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc.
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Affiliation(s)
- Sébastien Hétu
- Virginia Tech Carilion Research Institute, Riverside Circle, Roanoke, Virginia, 24016
| | - Yi Luo
- Virginia Tech Carilion Research Institute, Riverside Circle, Roanoke, Virginia, 24016
| | - Ignacio Saez
- Virginia Tech Carilion Research Institute, Riverside Circle, Roanoke, Virginia, 24016
| | - Kimberlee D'Ardenne
- Virginia Tech Carilion Research Institute, Riverside Circle, Roanoke, Virginia, 24016
| | - Terry Lohrenz
- Virginia Tech Carilion Research Institute, Riverside Circle, Roanoke, Virginia, 24016
| | - P Read Montague
- Virginia Tech Carilion Research Institute, Riverside Circle, Roanoke, Virginia, 24016.,Wellcome Trust Centre for Neuroimaging, University College London, 12 Queen Square, London, WC1N, 3BG, United Kingdom
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Stephan KE, Bach DR, Fletcher PC, Flint J, Frank MJ, Friston KJ, Heinz A, Huys QJM, Owen MJ, Binder EB, Dayan P, Johnstone EC, Meyer-Lindenberg A, Montague PR, Schnyder U, Wang XJ, Breakspear M. Charting the landscape of priority problems in psychiatry, part 1: classification and diagnosis. Lancet Psychiatry 2016; 3:77-83. [PMID: 26573970 DOI: 10.1016/s2215-0366(15)00361-2] [Citation(s) in RCA: 102] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2015] [Revised: 07/20/2015] [Accepted: 07/20/2015] [Indexed: 02/09/2023]
Abstract
Contemporary psychiatry faces major challenges. Its syndrome-based disease classification is not based on mechanisms and does not guide treatment, which largely depends on trial and error. The development of therapies is hindered by ignorance of potential beneficiary patient subgroups. Neuroscientific and genetics research have yet to affect disease definitions or contribute to clinical decision making. In this challenging setting, what should psychiatric research focus on? In two companion papers, we present a list of problems nominated by clinicians and researchers from different disciplines as candidates for future scientific investigation of mental disorders. These problems are loosely grouped into challenges concerning nosology and diagnosis (this Personal View) and problems related to pathogenesis and aetiology (in the companion Personal View). Motivated by successful examples in other disciplines, particularly the list of Hilbert's problems in mathematics, this subjective and eclectic list of priority problems is intended for psychiatric researchers, helping to re-focus existing research and providing perspectives for future psychiatric science.
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Affiliation(s)
- Klaas E Stephan
- Translational Neuromodeling Unit, Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland; Wellcome Trust Centre for Neuroimaging, University College London, London, UK; Max Planck Institute for Metabolism Research, Cologne, Germany.
| | - Dominik R Bach
- Wellcome Trust Centre for Neuroimaging, University College London, London, UK; Department of Psychiatry, Psychotherapy and Psychosomatics, Hospital of Psychiatry, University of Zurich, Zurich, Switzerland
| | - Paul C Fletcher
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Jonathan Flint
- Wellcome Trust Centre for Human Genetics, Oxford University, Oxford, UK
| | - Michael J Frank
- Brown Institute for Brain Science, Brown University, Providence, RI, USA
| | - Karl J Friston
- Wellcome Trust Centre for Neuroimaging, University College London, London, UK
| | - Andreas Heinz
- Department of Psychiatry, Humboldt University, Berlin, Germany
| | - Quentin J M Huys
- Translational Neuromodeling Unit, Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland; Department of Psychiatry, Psychotherapy and Psychosomatics, Hospital of Psychiatry, University of Zurich, Zurich, Switzerland
| | - Michael J Owen
- MRC Centre for Neuropsychiatric Genetics and Genomics and Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Elisabeth B Binder
- Department of Translational Research in Psychiatry, Max Planck Institute for Psychiatry, Munich, Germany; Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Peter Dayan
- Gatsby Computational Neuroscience Unit, University College London, London, UK
| | - Eve C Johnstone
- Department of Psychiatry, University of Edinburgh, Edinburgh, UK
| | | | - P Read Montague
- Wellcome Trust Centre for Neuroimaging, University College London, London, UK; Computational Psychiatry Unit, Virginia Tech Carilion Research Institute, Roanoke, VA, USA
| | - Ulrich Schnyder
- Department of Psychiatry and Psychotherapy, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Xiao-Jing Wang
- Center for Neural Science, New York University, New York, NY, USA; Institute of Brain and Cognitive Science, NYU Shanghai, Shanghai, China
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Stephan KE, Binder EB, Breakspear M, Dayan P, Johnstone EC, Meyer-Lindenberg A, Schnyder U, Wang XJ, Bach DR, Fletcher PC, Flint J, Frank MJ, Heinz A, Huys QJM, Montague PR, Owen MJ, Friston KJ. Charting the landscape of priority problems in psychiatry, part 2: pathogenesis and aetiology. Lancet Psychiatry 2016; 3:84-90. [PMID: 26573969 DOI: 10.1016/s2215-0366(15)00360-0] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2015] [Revised: 07/20/2015] [Accepted: 07/20/2015] [Indexed: 12/11/2022]
Abstract
This is the second of two companion papers proposing priority problems for research on mental disorders. Whereas the first paper focuses on questions of nosology and diagnosis, this Personal View concerns pathogenesis and aetiology of psychiatric diseases. We hope that this (non-exhaustive and subjective) list of problems, nominated by scientists and clinicians from different fields and institutions, provides guidance and perspectives for choosing future directions in psychiatric science.
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Affiliation(s)
- Klaas E Stephan
- Translational Neuromodeling Unit, Institute for Biomedical Engineering, University of Zurich, Zurich, Switzerland; ETH Zurich, Zurich, Switzerland; The Wellcome Trust Centre for Neuroimaging, University College London, London, UK; Max Planck Institute for Metabolism Research, Cologne, Germany.
| | - Elisabeth B Binder
- Deptartment of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany; Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Michael Breakspear
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia; Metro North Mental Health Service, Brisbane, Australia
| | - Peter Dayan
- Gatsby Computational Neuroscience Unit, University College London, London, UK
| | - Eve C Johnstone
- Department of Psychiatry, University of Edinburgh, Edinburgh, UK
| | | | - Ulrich Schnyder
- Department of Psychiatry and Psychotherapy, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Xiao-Jing Wang
- Center for Neural Science, New York University, New York, NY, USA; Institute of Brain and Cognitive Science, NYU Shanghai, Shanghai, China
| | - Dominik R Bach
- Department of Psychiatry, Psychotherapy and Psychosomatics, Hospital of Psychiatry, University of Zurich, Zurich, Switzerland; The Wellcome Trust Centre for Neuroimaging, University College London, London, UK
| | - Paul C Fletcher
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Jonathan Flint
- The Wellcome Trust Centre for Human Genetics, Oxford University, Oxford, UK
| | - Michael J Frank
- Brown Institute for Brain Science, Brown University, Providence, RI, USA
| | - Andreas Heinz
- Department of Psychiatry, Humboldt University Berlin, Berlin, Germany
| | - Quentin J M Huys
- Translational Neuromodeling Unit, Institute for Biomedical Engineering, University of Zurich, Zurich, Switzerland; Department of Psychiatry, Psychotherapy and Psychosomatics, Hospital of Psychiatry, University of Zurich, Zurich, Switzerland; ETH Zurich, Zurich, Switzerland
| | - P Read Montague
- The Wellcome Trust Centre for Neuroimaging, University College London, London, UK; Computational Psychiatry Unit, Virginia Tech Carilion Research Institute, Roanoke, VA, USA
| | - Michael J Owen
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK; Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Karl J Friston
- The Wellcome Trust Centre for Neuroimaging, University College London, London, UK
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Dayan P, Dolan RJ, Friston KJ, Montague PR. Taming the shrewdness of neural function: methodological challenges in computational psychiatry. Curr Opin Behav Sci 2015. [DOI: 10.1016/j.cobeha.2015.09.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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McAdams CJ, Lohrenz T, Montague PR. Neural responses to kindness and malevolence differ in illness and recovery in women with anorexia nervosa. Hum Brain Mapp 2015; 36:5207-19. [PMID: 26416161 DOI: 10.1002/hbm.23005] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2015] [Revised: 08/26/2015] [Accepted: 09/16/2015] [Indexed: 11/12/2022] Open
Abstract
In anorexia nervosa, problems with social relationships contribute to illness, and improvements in social support are associated with recovery. Using the multiround trust game and 3T MRI, we compare neural responses in a social relationship in three groups of women: women with anorexia nervosa, women in long-term weight recovery from anorexia nervosa, and healthy comparison women. Surrogate markers related to social signals in the game were computed each round to assess whether the relationship was improving (benevolence) or deteriorating (malevolence) for each subject. Compared with healthy women, neural responses to benevolence were diminished in the precuneus and right angular gyrus in both currently-ill and weight-recovered subjects with anorexia, but neural responses to malevolence differed in the left fusiform only in currently-ill subjects. Next, using a whole-brain regression, we identified an office assessment, the positive personalizing bias, that was inversely correlated with neural activity in the occipital lobe, the precuneus and posterior cingulate, the bilateral temporoparietal junctions, and dorsal anterior cingulate, during benevolence for all groups of subjects. The positive personalizing bias is a self-report measure that assesses the degree with which a person attributes positive experiences to other people. These data suggest that problems in perceiving kindness may be a consistent trait related to the development of anorexia nervosa, whereas recognizing malevolence may be related to recovery. Future work on social brain function, in both healthy and psychiatric populations, should consider positive personalizing biases as a possible marker of neural differences related to kindness perception.
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Affiliation(s)
- Carrie J McAdams
- Department of Psychiatry, University of Texas at Southwestern Medical School, Dallas, Texas.,Psychiatry, Texas Health Presbyterian Hospital of Dallas, Dallas, Texas
| | - Terry Lohrenz
- Virginia Tech Carilion Research Institute, Virginia Tech, Roanoke, Virginia
| | - P Read Montague
- Virginia Tech Carilion Research Institute, Virginia Tech, Roanoke, Virginia.,Computational Psychiatry Unit, Virginia Tech, Roanoke, Virginia.,Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom.,Department of Physics, Virginia Tech, Blacksburg, Virginia
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Hula A, Montague PR, Dayan P. Monte Carlo Planning Method Estimates Planning Horizons during Interactive Social Exchange. PLoS Comput Biol 2015; 11:e1004254. [PMID: 26053429 PMCID: PMC4460182 DOI: 10.1371/journal.pcbi.1004254] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2014] [Accepted: 03/23/2015] [Indexed: 11/29/2022] Open
Abstract
Reciprocating interactions represent a central feature of all human exchanges. They have been the target of various recent experiments, with healthy participants and psychiatric populations engaging as dyads in multi-round exchanges such as a repeated trust task. Behaviour in such exchanges involves complexities related to each agent’s preference for equity with their partner, beliefs about the partner’s appetite for equity, beliefs about the partner’s model of their partner, and so on. Agents may also plan different numbers of steps into the future. Providing a computationally precise account of the behaviour is an essential step towards understanding what underlies choices. A natural framework for this is that of an interactive partially observable Markov decision process (IPOMDP). However, the various complexities make IPOMDPs inordinately computationally challenging. Here, we show how to approximate the solution for the multi-round trust task using a variant of the Monte-Carlo tree search algorithm. We demonstrate that the algorithm is efficient and effective, and therefore can be used to invert observations of behavioural choices. We use generated behaviour to elucidate the richness and sophistication of interactive inference. Agents interacting in games with multiple rounds must model their partner’s thought processes over extended time horizons. This poses a substantial computational challenge that has restricted previous behavioural analyses. By taking advantage of recent advances in algorithms for planning in the face of uncertainty, we demonstrate how these formal methods can be extended. We use a well studied social exchange game called the trust task to illustrate the power of our method, showing how agents with particular cognitive and social characteristics can be expected to interact, and how to infer the properties of individuals from observing their behaviour.
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Affiliation(s)
- Andreas Hula
- Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom
- * E-mail:
| | - P. Read Montague
- Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom
- Human Neuroimaging Laboratory, Virginia Tech Carilion Research Institute, Roanoke, Virginia, United States of America
- Department of Physics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, United States of America
| | - Peter Dayan
- Gatsby Computational Neuroscience Unit, University College London, London, United Kingdom
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Abstract
Reinforcement learning models have demonstrated that phasic activity of dopamine neurons during reward expectation encodes information about the predictability of reward and cues that predict reward. Self-control strategies such as those practiced in mindfulness-based approaches is claimed to reduce negative and positive reactions to stimuli suggesting the hypothesis that such training may influence basic reward processing. Using a passive conditioning task and fMRI in a group of experienced mindfulness meditators and age-matched controls, we tested the hypothesis that mindfulness meditation influence reward and reward prediction error (PE) signals. We found diminished positive and negative PE-related blood-oxygen level-dependent (BOLD) responses in the putamen in meditators compared with controls. In the meditator group this decrease in striatal BOLD responses to reward PE was paralleled by increased activity in posterior insula, a primary interoceptive region. Critically, responses in the putamen during early trials of the conditioning procedure (run 1) were elevated in both meditators and controls. Overall, these results provide evidence that experienced mindfulness meditators are able to attenuate reward prediction signals to valenced stimuli, which may be related to interoceptive processes encoded in the posterior insula.
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Affiliation(s)
- Ulrich Kirk
- Department of Psychology, University of Southern Denmark Odense, Denmark
| | - P Read Montague
- Wellcome Trust Centre for Neuroimaging, University College London London, UK ; Human Neuroimaging Laboratory, Virginia Tech Carilion Research Institute, Virginia Polytechnic Institute and State University Roanoke, VA, USA ; Department of Physics, Virginia Polytechnic Institute and State University Blacksburg, VA, USA
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43
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Lu J, Kishida K, De Asis Cruz J, Lohrenz T, Deering DT, Beauchamp M, Montague PR. Single stimulus fMRI produces a neural individual difference measure for Autism Spectrum Disorder. Clin Psychol Sci 2015; 3:422-432. [PMID: 26722624 DOI: 10.1177/2167702614562042] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Functional magnetic resonance imaging typically makes inferences about neural substrates of cognitive phenomena at the group level. We report the use of a single-stimulus BOLD response in the cingulate cortex that differentiates individual children with autism spectrum disorder from matched typically developing control children with sensitivity and specificity of 63.6% and 73.7% respectively. The approach consists of passive viewing of 'self' and 'other' faces from which an individual difference measure is derived from the BOLD response to the first 'self' image only; the method, penalized logistic regression, requires no averaging over stimulus presentations or individuals. These findings show that single-stimulus fMRI responses can be extracted from individual subjects and used profitably as a neural individual difference measure. The result suggests that single-stimulus fMRI can be developed to produce quantitative neural biomarkers for other developmental disorders and may even be useful in the rapid typing of cognition in healthy individuals.
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Affiliation(s)
- James Lu
- The Wellcome Trust Centre for Neuroimaging, University College London, London, UK ; Human Genome Sequencing Center, Baylor College of Medicine, Baylor College of Medicine, Houston, TX ; Department of Structural and Computational Biology and Molecular Biophysics, Baylor College of Medicine, Houston, TX
| | - Ken Kishida
- Virginia Tech Carilion Research Institute, Virginia Tech, Blacksburg VA
| | | | - Terry Lohrenz
- Virginia Tech Carilion Research Institute, Virginia Tech, Blacksburg VA
| | - Diane Treadwell Deering
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX
| | - Michael Beauchamp
- Department of Neurobiology and Anatomy, University of Texas Health Science Center, Houston, TX
| | - P Read Montague
- Virginia Tech Carilion Research Institute, Virginia Tech, Blacksburg VA ; Department of Physics, Virginia Tech, Blacksburg VA ; The Wellcome Trust Centre for Neuroimaging, University College London, London, UK
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Kirk U, Gu X, Harvey AH, Fonagy P, Montague PR. Mindfulness training modulates value signals in ventromedial prefrontal cortex through input from insular cortex. Neuroimage 2014; 100:254-62. [PMID: 24956066 DOI: 10.1016/j.neuroimage.2014.06.035] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2014] [Revised: 06/11/2014] [Accepted: 06/13/2014] [Indexed: 10/25/2022] Open
Abstract
Neuroimaging research has demonstrated that ventromedial prefrontal cortex (vmPFC) encodes value signals that can be modulated by top-down cognitive input such as semantic knowledge, price incentives, and monetary favors suggesting that such biases may have an identified biological basis. It has been hypothesized that mindfulness training (MT) provides one path for gaining control over such top-down influences; yet, there have been no direct tests of this hypothesis. Here, we probe the behavioral and neural effects of MT on value signals in vmPFC in a randomized longitudinal design of 8 weeks of MT on an initially naïve subject cohort. The impact of this within-subject training was assessed using two paradigms: one that employed primary rewards (fruit juice) in a simple conditioning task and another that used a well-validated art-viewing paradigm to test bias of monetary favors on preference. We show that MT behaviorally censors the top-down bias of monetary favors through a measurable influence on value signals in vmPFC. MT also modulates value signals in vmPFC to primary reward delivery. Using a separate cohort of subjects we show that 8 weeks of active control training (ACT) generates the same behavioral impact also through an effect on signals in the vmPFC. Importantly, functional connectivity analyses show that value signals in vmPFC are coupled with bilateral posterior insula in the MT groups in both paradigms, but not in the ACT groups. These results suggest that MT integrates interoceptive input from insular cortex in the context of value computations of both primary and secondary rewards.
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Affiliation(s)
- Ulrich Kirk
- Institute of Psychology, University of Southern Denmark, 5230 Odense, Denmark
| | - Xiaosi Gu
- Wellcome Trust Centre for Neuroimaging, University College London, London WC1N 3BG, United Kingdom; Human Neuroimaging Laboratory, Virginia Tech Carilion Research Institute, Roanoke, VA 24016, United States
| | - Ann H Harvey
- Human Neuroimaging Laboratory, Virginia Tech Carilion Research Institute, Roanoke, VA 24016, United States
| | - Peter Fonagy
- Research Department of Clinical, Educational, and Health Psychology, University College London, London WC1E 6BT, United Kingdom; Anna Freud Centre, London NW3 5SD, United Kingdom
| | - P Read Montague
- Wellcome Trust Centre for Neuroimaging, University College London, London WC1N 3BG, United Kingdom; Human Neuroimaging Laboratory, Virginia Tech Carilion Research Institute, Roanoke, VA 24016, United States.
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Gu X, Kirk U, Lohrenz TM, Montague PR. Cognitive strategies regulate fictive, but not reward prediction error signals in a sequential investment task. Hum Brain Mapp 2013; 35:3738-49. [PMID: 24382784 PMCID: PMC4105325 DOI: 10.1002/hbm.22433] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2013] [Revised: 10/27/2013] [Accepted: 11/06/2013] [Indexed: 11/24/2022] Open
Abstract
Computational models of reward processing suggest that foregone or fictive outcomes serve as important information sources for learning and augment those generated by experienced rewards (e.g. reward prediction errors). An outstanding question is how these learning signals interact with top-down cognitive influences, such as cognitive reappraisal strategies. Using a sequential investment task and functional magnetic resonance imaging, we show that the reappraisal strategy selectively attenuates the influence of fictive, but not reward prediction error signals on investment behavior; such behavioral effect is accompanied by changes in neural activity and connectivity in the anterior insular cortex, a brain region thought to integrate subjective feelings with high-order cognition. Furthermore, individuals differ in the extent to which their behaviors are driven by fictive errors versus reward prediction errors, and the reappraisal strategy interacts with such individual differences; a finding also accompanied by distinct underlying neural mechanisms. These findings suggest that the variable interaction of cognitive strategies with two important classes of computational learning signals (fictive, reward prediction error) represent one contributing substrate for the variable capacity of individuals to control their behavior based on foregone rewards. These findings also expose important possibilities for understanding the lack of control in addiction based on possibly foregone rewarding outcomes. Hum Brain Mapp 35:3738–3749, 2014.
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Affiliation(s)
- Xiaosi Gu
- Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom; Human Neuroimaging Laboratory, Virginia Tech Carilion Research Institute, Roanoke, Virginia
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Lohrenz T, Bhatt M, Apple N, Montague PR. Keeping up with the Joneses: interpersonal prediction errors and the correlation of behavior in a tandem sequential choice task. PLoS Comput Biol 2013; 9:e1003275. [PMID: 24204226 PMCID: PMC3812045 DOI: 10.1371/journal.pcbi.1003275] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2012] [Accepted: 08/28/2013] [Indexed: 11/20/2022] Open
Abstract
In many settings, copying, learning from or assigning value to group behavior is rational because such behavior can often act as a proxy for valuable returns. However, such herd behavior can also be pathologically misleading by coaxing individuals into behaviors that are otherwise irrational and it may be one source of the irrational behaviors underlying market bubbles and crashes. Using a two-person tandem investment game, we sought to examine the neural and behavioral responses of herd instincts in situations stripped of the incentive to be influenced by the choices of one's partner. We show that the investments of the two subjects correlate over time if they are made aware of their partner's choices even though these choices have no impact on either player's earnings. We computed an “interpersonal prediction error”, the difference between the investment decisions of the two subjects after each choice. BOLD responses in the striatum, implicated in valuation and action selection, were highly correlated with this interpersonal prediction error. The revelation of the partner's investment occurred after all useful information about the market had already been revealed. This effect was confirmed in two separate experiments where the impact of the time of revelation of the partner's choice was tested at 2 seconds and 6 seconds after a subject's choice; however, the effect was absent in a control condition with a computer partner. These findings strongly support the existence of mechanisms that drive correlated behavior even in contexts where there is no explicit advantage to do so. In this study we examine the neural substrates of inter-personal error signals on behavior in an investment task using real historical markets. We show that behaviorally, subjects correlate their investments, despite the fact that another trader has no extra information about how the market may move. These behavioral results are supported by neural data showing large, parametric responses in brain areas related to reward and learning when information about another trader's behavior is revealed, even though this occurs after all useful information about the market has already been shown. These results promise to elucidate some of the subconscious processes that guide people to correlate their behavior in markets and other group environments.
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Affiliation(s)
- Terry Lohrenz
- Virginia Tech Carilion Research Institute, Roanoke, Virginia, United States of America
| | - Meghana Bhatt
- Virginia Tech Carilion Research Institute, Roanoke, Virginia, United States of America
| | - Nathan Apple
- Virginia Tech Carilion Research Institute, Roanoke, Virginia, United States of America
| | - P. Read Montague
- Virginia Tech Carilion Research Institute, Roanoke, Virginia, United States of America
- The Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom
- * E-mail:
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Kishida KT, Montague PR. Economic probes of mental function and the extraction of computational phenotypes. J Econ Behav Organ 2013; 94:234-241. [PMID: 24926112 PMCID: PMC4047610 DOI: 10.1016/j.jebo.2013.07.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/13/2012] [Revised: 07/22/2013] [Accepted: 07/23/2013] [Indexed: 06/03/2023]
Abstract
Economic games are now routinely used to characterize human cognition across multiple dimensions. These games allow for effective computational modeling of mental function because they typically come equipped with notions of optimal play, which provide quantitatively prescribed target functions that can be tracked throughout an experiment. The combination of these games, computational models, and neuroimaging tools open up the possibility for new ways to characterize normal cognition and associated brain function. We propose that these tools may also be used to characterize mental dysfunction, such as that found in a range of psychiatric illnesses. We describe early efforts using a multi-round trust game to probe brain responses associated with healthy social exchange and review how this game has provided a novel and useful characterization of autism spectrum disorder. Lastly, we use the multi-round trust game as an example to discuss how these kinds of games could produce novel bases for representing healthy behavior and brain function and thus provide objectively identifiable subtypes within a broad spectrum of mental function.
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Affiliation(s)
- Kenneth T. Kishida
- Human Neuroimaging Laboratory and Computational Psychiatry Unit, Virginia Tech Carilion Research Institute, Roanoke, VA 24016, USA
| | - P. Read Montague
- Human Neuroimaging Laboratory and Computational Psychiatry Unit, Virginia Tech Carilion Research Institute, Roanoke, VA 24016, USA
- Department of Physics, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
- The Wellcome Trust Centre for Neuroimaging, University College London, WCN1 3BG, UK
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Abstract
The role of dopamine neurons in value-guided behavior has been described in computationally explicit terms. These developments have motivated new model-based probes of reward processing in healthy humans, and in recent years these same models have also been used to design and understand neural responses during simple social exchange. These latter applications have opened up the possibility of identifying new endophenotypes characteristic of biological substrates underlying psychiatric disease. In this report, we review model-based approaches to functional magnetic resonance imaging in healthy individuals and the application of these paradigms to psychiatric disorders. We show early results from the application of model-based human interaction at three disparate levels: 1) interaction with a single human, 2) interaction within small groups, and 3) interaction with signals generated by large groups. In each case, we show how reward-prediction circuitry is engaged by abstract elements of each paradigm with blood oxygen level-dependent imaging as a read-out; and, in the last case (i.e., signals generated by large groups) we report on direct electrochemical dopamine measurements during decision making in humans. Lastly, we discuss how computational approaches can be used to objectively assess and quantify elements of complex and hidden social decision-making processes.
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Affiliation(s)
- Kenneth T Kishida
- Computational Psychiatry Unit and Human Neuroimaging Laboratory, Virginia Tech Carilion Research Institute, Roanoke, VA 24016, USA.
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Affiliation(s)
- P Read Montague
- Virginia Tech Carilion Research Institute, Department of Physics, Virginia Tech, Roanoke, VA 24016, USA.
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Kishida KT, Yang D, Quartz KH, Quartz SR, Montague PR. Implicit signals in small group settings and their impact on the expression of cognitive capacity and associated brain responses. Philos Trans R Soc Lond B Biol Sci 2012; 367:704-16. [PMID: 22271786 PMCID: PMC3260843 DOI: 10.1098/rstb.2011.0267] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Measures of intelligence, when broadcast, serve as salient signals of social status, which may be used to unjustly reinforce low-status stereotypes about out-groups' cultural norms. Herein, we investigate neurobehavioural signals manifest in small (n = 5) groups using functional magnetic resonance imaging and a ‘ranked group IQ task’ where implicit signals of social status are broadcast and differentiate individuals based on their expression of cognitive capacity. We report an initial overall decrease in the expression of cognitive capacity in the small group setting. However, the environment of the ‘ranked group IQ task’ eventually stratifies the population into two groups (‘high performers’, HP and ‘low performers’, LP) identifiable based on changes in estimated intelligence quotient and brain responses in the amygdala and dorsolateral prefrontal cortex. In addition, we demonstrate signals in the nucleus accumbens consistent with prediction errors in expected changes in status regardless of group membership. Our results suggest that individuals express diminished cognitive capacity in small groups, an effect that is exacerbated by perceived lower status within the group and correlated with specific neurobehavioural responses. The impact these reactions have on intergroup divisions and conflict resolution requires further investigation, but suggests that low-status groups may develop diminished capacity to mitigate conflict using non-violent means.
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Affiliation(s)
- Kenneth T Kishida
- Human Neuroimaging Laboratory, Computational Psychiatry Unit, Virginia Tech Carilion Research Institute, Roanoke, VA 24018, USA
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