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Brakel SJ, Tucker DE. Capital sentencing and neuropsychiatry. BEHAVIORAL SCIENCES & THE LAW 2024; 42:56-64. [PMID: 38163822 DOI: 10.1002/bsl.2643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 11/28/2023] [Indexed: 01/03/2024]
Abstract
The neuropsychiatric contribution to capital sentencing proceedings has grown substantially in recent decades as the consideration of neurological and psychiatric factors in criminal behavior has been increasingly accepted as relevant to the quest for justice. This review article will focus on the legal theories underlying neuropsychiatric input into capital sentencing decisions, as well as some of the investigative techniques and resulting data which may be offered by forensic neuropsychiatrists in this context. The death penalty is unique in its severity and irreversibility, as the courts, including the U.S. Supreme Court, have noted repeatedly. "Death is different," and the recognition of this has generated a set of court decisions and statutes pertinent specifically to capital proceedings, both procedural and substantive.
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Affiliation(s)
- Samuel Jan Brakel
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Douglas E Tucker
- Department of Psychiatry, University of California, San Francisco School of Medicine, Moraga, California, USA
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2
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Werhahn JE, Smigielski L, Sacu S, Mohl S, Willinger D, Naaijen J, Mulder LM, Glennon JC, Hoekstra PJ, Dietrich A, Deters RK, Aggensteiner PM, Holz NE, Baumeister S, Banaschewski T, Saam MC, Schulze UME, Lythgoe DJ, Sethi A, Craig M, Mastroianni M, Sagar-Ouriaghli I, Santosh PJ, Rosa M, Bargallo N, Castro-Fornieles J, Arango C, Penzol MJ, Zwiers MP, Franke B, Buitelaar JK, Walitza S, Brandeis D. Different whole-brain functional connectivity correlates of reactive-proactive aggression and callous-unemotional traits in children and adolescents with disruptive behaviors. Neuroimage Clin 2023; 40:103542. [PMID: 37988996 PMCID: PMC10701077 DOI: 10.1016/j.nicl.2023.103542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 10/20/2023] [Accepted: 11/12/2023] [Indexed: 11/23/2023]
Abstract
BACKGROUND Disruptive behavior in children and adolescents can manifest as reactive aggression and proactive aggression and is modulated by callous-unemotional traits and other comorbidities. Neural correlates of these aggression dimensions or subtypes and comorbid symptoms remain largely unknown. This multi-center study investigated the relationship between resting state functional connectivity (rsFC) and aggression subtypes considering comorbidities. METHODS The large sample of children and adolescents aged 8-18 years (n = 207; mean age = 13.30±2.60 years, 150 males) included 118 cases with disruptive behavior (80 with Oppositional Defiant Disorder and/or Conduct Disorder) and 89 controls. Attention-deficit/hyperactivity disorder (ADHD) and anxiety symptom scores were analyzed as covariates when assessing group differences and dimensional aggression effects on hypothesis-free global and local voxel-to-voxel whole-brain rsFC based on functional magnetic resonance imaging at 3 Tesla. RESULTS Compared to controls, the cases demonstrated altered rsFC in frontal areas, when anxiety but not ADHD symptoms were controlled for. For cases, reactive and proactive aggression scores were related to global and local rsFC in the central gyrus and precuneus, regions linked to aggression-related impairments. Callous-unemotional trait severity was correlated with ICC in the inferior and middle temporal regions implicated in empathy, emotion, and reward processing. Most observed aggression subtype-specific patterns could only be identified when ADHD and anxiety were controlled for. CONCLUSIONS This study clarifies that hypothesis-free brain connectivity measures can disentangle distinct though overlapping dimensions of aggression in youths. Moreover, our results highlight the importance of considering comorbid symptoms to detect aggression-related rsFC alterations in youths.
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Affiliation(s)
- Julia E Werhahn
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry Zurich, University of Zurich, Zurich, Switzerland
| | - Lukasz Smigielski
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry Zurich, University of Zurich, Zurich, Switzerland
| | - Seda Sacu
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Susanna Mohl
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry Zurich, University of Zurich, Zurich, Switzerland
| | - David Willinger
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry Zurich, University of Zurich, Zurich, Switzerland
| | - Jilly Naaijen
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Radboud University, Nijmegen, The Netherlands; Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
| | - Leandra M Mulder
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Radboud University, Nijmegen, The Netherlands; Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
| | - Jeffrey C Glennon
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Radboud University, Nijmegen, The Netherlands; Conway Institute of Biomedical and Biomolecular Research, School of Medicine, University College Dublin, Dublin, Ireland
| | - Pieter J Hoekstra
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Andrea Dietrich
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Renee Kleine Deters
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Pascal M Aggensteiner
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Nathalie E Holz
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Sarah Baumeister
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Melanie C Saam
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital, University of Ulm, Ulm, Germany
| | - Ulrike M E Schulze
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital, University of Ulm, Ulm, Germany
| | - David J Lythgoe
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Arjun Sethi
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Michael Craig
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Mathilde Mastroianni
- Department of Child Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Ilyas Sagar-Ouriaghli
- Department of Child Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Paramala J Santosh
- Department of Child Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Mireia Rosa
- Child and Adolescent Psychiatry Department, Hospital Clinic of Barcelona, IDIBAPS, Barcelona, Spain
| | - Nuria Bargallo
- Clinic Image Diagnostic Center (CDIC), Hospital Clinic of Barcelona, Magnetic Resonance Image Core Facility, IDIBAPS, Barcelona, Spain
| | - Josefina Castro-Fornieles
- Child and Adolescent Psychiatry and Psychology Department, Institute Clinic of Neurosciences, Hospital Clinic of Barcelona, CIBERSAM, IDIBAPS, Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Celso Arango
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain
| | - Maria J Penzol
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain
| | - Marcel P Zwiers
- Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
| | - Barbara Franke
- Departments of Human Genetics and Psychiatry, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center. Radboud University, Nijmegen, The Netherlands
| | - Jan K Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Radboud University, Nijmegen, The Netherlands; Karakter Child and Adolescent Psychiatry University Center, Radboud University Medical Center, Radboud University, Nijmegen, The Netherlands
| | - Susanne Walitza
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry Zurich, University of Zurich, Zurich, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Daniel Brandeis
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry Zurich, University of Zurich, Zurich, Switzerland; Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland.
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Ding J, Shen C, Wang Z, Yang Y, El Fakhri G, Lu J, Liang D, Zheng H, Zhou Y, Sun T. Tau-PET abnormality as a biomarker for Alzheimer's disease staging and early detection: a topological perspective. Cereb Cortex 2023; 33:10649-10659. [PMID: 37653600 DOI: 10.1093/cercor/bhad312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 08/10/2023] [Accepted: 08/10/2023] [Indexed: 09/02/2023] Open
Abstract
Alzheimer's disease can be detected early through biomarkers such as tau positron emission tomography (PET) imaging, which shows abnormal protein accumulations in the brain. The standardized uptake value ratio (SUVR) is often used to quantify tau-PET imaging, but topological information from multiple brain regions is also linked to tau pathology. Here a new method was developed to investigate the correlations between brain regions using subject-level tau networks. Participants with cognitive normal (74), early mild cognitive impairment (35), late mild cognitive impairment (32), and Alzheimer's disease (40) were included. The abnormality network from each scan was constructed to extract topological features, and 7 functional clusters were further analyzed for connectivity strengths. Results showed that the proposed method performed better than conventional SUVR measures for disease staging and prodromal sign detection. For example, when to differ healthy subjects with and without amyloid deposition, topological biomarker is significant with P < 0.01, SUVR is not with P > 0.05. Functionally significant clusters, i.e. medial temporal lobe, default mode network, and visual-related regions, were identified as critical hubs vulnerable to early disease conversion before mild cognitive impairment. These findings were replicated in an independent data cohort, demonstrating the potential to monitor the early sign and progression of Alzheimer's disease from a topological perspective for individual.
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Affiliation(s)
- Jie Ding
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 100864, People's Republic of China
| | - Chushu Shen
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 100864, People's Republic of China
| | - Zhenguo Wang
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 100864, People's Republic of China
| | - Yongfeng Yang
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 100864, People's Republic of China
| | - Georges El Fakhri
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, United States
| | - Jie Lu
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing 100053, People's Republic of China
| | - Dong Liang
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 100864, People's Republic of China
| | - Hairong Zheng
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 100864, People's Republic of China
| | - Yun Zhou
- Central Research Institute, United Imaging Healthcare Group Co., Ltd, Shanghai 201807, People's Republic of China
- School of Biomedical Engineering, Shanghai Tech University, Shanghai 201210, People's Republic of China
| | - Tao Sun
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 100864, People's Republic of China
- United Imaging Research Institute of Innovative Medical Equipment, Shenzhen 518055, People's Republic of China
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Deming P, Cook CJ, Meyerand ME, Kiehl KA, Kosson DS, Koenigs M. Impaired salience network switching in psychopathy. Behav Brain Res 2023; 452:114570. [PMID: 37421987 PMCID: PMC10527938 DOI: 10.1016/j.bbr.2023.114570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 06/22/2023] [Accepted: 07/05/2023] [Indexed: 07/10/2023]
Abstract
Growing evidence suggests that psychopathy is related to altered connectivity within and between three large-scale brain networks that support core cognitive functions, including allocation of attention. In healthy individuals, default mode network (DMN) is involved in internally-focused attention and cognition such as self-reference. Frontoparietal network (FPN) is anticorrelated with DMN and is involved in externally-focused attention to cognitively demanding tasks. A third network, salience network (SN), is involved in detecting salient cues and, crucially, appears to play a role in switching between the two anticorrelated networks, DMN and FPN, to efficiently allocate attentional resources. Psychopathy has been related to reduced anticorrelation between DMN and FPN, suggesting SN's role in switching between these two networks may be diminished in the disorder. To test this hypothesis, we used independent component analysis to derive DMN, FPN, and SN activity in resting-state fMRI data in a sample of incarcerated men (N = 148). We entered the activity of the three networks into dynamic causal modeling to test SN's switching role. The previously established switching effect of SN among young, healthy adults was replicated in a group of low psychopathy participants (posterior model probability = 0.38). As predicted, SN's switching role was significantly diminished in high psychopathy participants (t(145) = 26.39, p < .001). These findings corroborate a novel theory of brain function in psychopathy. Future studies may use this model to test whether disrupted SN switching is related to high psychopathy individuals' abnormal allocation of attention.
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Affiliation(s)
- Philip Deming
- Department of Psychology, Northeastern University, 360 Huntington Ave., Boston, MA 02115, USA.
| | - Cole J Cook
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Ave., Rm 1005, Madison, WI 53705, USA
| | - Mary E Meyerand
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Ave., Rm 1005, Madison, WI 53705, USA; Department of Biomedical Engineering, University of Wisconsin-Madison, 1415 Engineering Drive, Madison, WI 53706, USA
| | - Kent A Kiehl
- The Mind Research Network and Lovelace Biomedical, 1101 Yale Blvd. NE, Albuquerque, NM 87106, USA
| | - David S Kosson
- Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, IL 60064, USA
| | - Michael Koenigs
- Department of Psychiatry, University of Wisconsin-Madison, 6001 Research Park Blvd., Madison, WI 53719, USA
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5
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Allen CH, Maurer JM, Gullapalli AR, Edwards BG, Aharoni E, Harenski CL, Anderson NE, Harenski KA, Calhoun VD, Kiehl KA. Psychopathic traits and altered resting-state functional connectivity in incarcerated adolescent girls. FRONTIERS IN NEUROIMAGING 2023; 2:1216494. [PMID: 37554634 PMCID: PMC10406221 DOI: 10.3389/fnimg.2023.1216494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 07/19/2023] [Indexed: 08/10/2023]
Abstract
Previous work in incarcerated boys and adult men and women suggest that individuals scoring high on psychopathic traits show altered resting-state limbic/paralimbic, and default mode functional network properties. However, it is unclear whether similar results extend to high-risk adolescent girls with elevated psychopathic traits. This study examined whether psychopathic traits [assessed via the Hare Psychopathy Checklist: Youth Version (PCL:YV)] were associated with altered inter-network connectivity, intra-network connectivity (i.e., functional coherence within a network), and amplitude of low-frequency fluctuations (ALFFs) across resting-state networks among high-risk incarcerated adolescent girls (n = 40). Resting-state networks were identified by applying group independent component analysis (ICA) to resting-state fMRI scans, and a priori regions of interest included limbic, paralimbic, and default mode network components. We tested the association of psychopathic traits (PCL:YV Factor 1 measuring affective/interpersonal traits and PCL:YV Factor 2 assessing antisocial/lifestyle traits) to these three resting-state measures. PCL:YV Factor 1 scores were associated with increased low-frequency and decreased high-frequency fluctuations in components corresponding to the default mode network, as well as increased intra-network FNC in components corresponding to cognitive control networks. PCL:YV Factor 2 scores were associated with increased low-frequency fluctuations in sensorimotor networks and decreased high-frequency fluctuations in default mode, sensorimotor, and visual networks. Consistent with previous analyses in incarcerated adult women, our results suggest that psychopathic traits among incarcerated adolescent girls are associated with altered intra-network ALFFs-primarily that of increased low-frequency and decreased high-frequency fluctuations-and connectivity across multiple networks including paralimbic regions. These results suggest stable neurobiological correlates of psychopathic traits among women across development.
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Affiliation(s)
- Corey H. Allen
- The Mind Research Network, Albuquerque, NM, United States
| | | | | | | | - Eyal Aharoni
- Department of Psychology, Georgia State University, Atlanta, GA, United States
| | | | | | | | - Vince D. Calhoun
- Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, United States
- Department of Computer Science, Georgia State University, Atlanta, GA, United States
| | - Kent A. Kiehl
- The Mind Research Network, Albuquerque, NM, United States
- Department of Psychology, University of New Mexico, Albuquerque, NM, United States
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Tonnaer F, van Zutphen L, Raine A, Cima M. Amygdala connectivity and aggression. HANDBOOK OF CLINICAL NEUROLOGY 2023; 197:87-106. [PMID: 37633721 DOI: 10.1016/b978-0-12-821375-9.00002-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/28/2023]
Abstract
Neurobiological models propose that reactive aggression is predicated on impairments in amygdala-prefrontal connectivity that subserves moral decision-making and emotion regulation. The amygdala is a key component within this neural network that modulates reactive aggression. We provide a review of amygdala dysfunctional brain networks leading to reactive aggressive behavior. We elaborate on key concepts, focusing on moral decision-making and emotion regulation in a developmental context, and brain network connectivity factors relating to amygdala (dys)function-factors which we suggest predispose to reactive aggression. We additionally discuss insights into the latest treatment interventions, providing the utilization of the scientific findings for practice.
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Affiliation(s)
- Franca Tonnaer
- Department of Research, Ventio Crime Prevention Science Institute, Rijckholt, The Netherlands
| | - Linda van Zutphen
- Department of Conditions for LifeLong Learning, Educational Sciences, Open University, Heerlen, The Netherlands
| | - Adrian Raine
- Department of Criminology, Richard Perry University, Berkeley, CA, United States; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States
| | - Maaike Cima
- Department of Research, Ventio Crime Prevention Science Institute, Rijckholt, The Netherlands; Department of Developmental Psychopathology, Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands; Department of Research, VIGO Groep, Nijmegen, The Netherlands.
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Allen CH, Shold J, Michael Maurer J, Reynolds BL, Anderson NE, Harenski CL, Harenski KA, Calhoun VD, Kiehl KA. Aberrant resting-state functional connectivity associated with childhood trauma among juvenile offenders. Neuroimage Clin 2023; 37:103343. [PMID: 36764058 PMCID: PMC9929859 DOI: 10.1016/j.nicl.2023.103343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 01/20/2023] [Accepted: 02/03/2023] [Indexed: 02/10/2023]
Abstract
Individuals with history of childhood trauma are characterized by aberrant resting-state limbic and paralimbic functional network connectivity. However, it is unclear whether specific subtypes of trauma (i.e., experienced vs observed or community) showcase differential effects. This study examined whether subtypes of childhood trauma (assessed via the Trauma Checklist [TCL] 2.0) were associated with aberrant intra-network amplitude of fluctuations and connectivity (i.e., functional coherence within a network), and inter-network connectivity across resting-state networks among incarcerated juvenile males (n = 179). Subtypes of trauma were established via principal component analysis of the TCL 2.0 and resting-state networks were identified by applying group independent component analysis to resting-state fMRI scans. We tested the association of subtypes of childhood trauma (i.e., TCL Factor 1 measuring experienced trauma and TCL Factor 2 assessing community trauma), and TCL Total scores to the aforementioned functional connectivity measures. TCL Factor 2 scores were associated with increased high-frequency fluctuations and increased intra-network connectivity in cognitive control, auditory, and sensorimotor networks, occurring primarily in paralimbic regions. TCL Total scores exhibited similar neurobiological patterns to TCL Factor 2 scores (with the addition of aberrant intra-network connectivity in visual networks), and no significant associations were found for TCL Factor 1. Consistent with previous analyses of community samples, our results suggest that childhood trauma among incarcerated juvenile males is associated with aberrant intra-network amplitude of fluctuations and connectivity across multiple networks including predominately paralimbic regions. Our results highlight the importance of accounting for traumatic loss, observed trauma, and community trauma in assessing neurobiological aberrances associated with adverse experiences in childhood, as well as the value of trained-rater trauma assessments compared to self-report.
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Affiliation(s)
- Corey H Allen
- The Mind Research Network, 1101 Yale Blvd NE, Albuquerque, NM 87106-4188, USA.
| | - Jenna Shold
- The Mind Research Network, 1101 Yale Blvd NE, Albuquerque, NM 87106-4188, USA
| | - J Michael Maurer
- The Mind Research Network, 1101 Yale Blvd NE, Albuquerque, NM 87106-4188, USA
| | - Brooke L Reynolds
- The Mind Research Network, 1101 Yale Blvd NE, Albuquerque, NM 87106-4188, USA; School of Graduate Psychology, Pacific University, Hillsboro, OR, USA
| | | | - Carla L Harenski
- The Mind Research Network, 1101 Yale Blvd NE, Albuquerque, NM 87106-4188, USA
| | - Keith A Harenski
- The Mind Research Network, 1101 Yale Blvd NE, Albuquerque, NM 87106-4188, USA
| | - Vince D Calhoun
- Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, 55 Park Place NE, 18th Floor, Atlanta, GA 30303, USA; Department of Computer Science, Georgia State University, Atlanta, USA
| | - Kent A Kiehl
- The Mind Research Network, 1101 Yale Blvd NE, Albuquerque, NM 87106-4188, USA; Department of Psychology, University of New Mexico, Albuquerque, NM 87131, USA
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Allen CH, Maurer JM, Edwards BG, Gullapalli AR, Harenski CL, Harenski KA, Calhoun VD, Kiehl KA. Aberrant resting-state functional connectivity in incarcerated women with elevated psychopathic traits. FRONTIERS IN NEUROIMAGING 2022; 1:971201. [PMID: 37555166 PMCID: PMC10406317 DOI: 10.3389/fnimg.2022.971201] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 09/20/2022] [Indexed: 08/10/2023]
Abstract
Previous work in incarcerated men suggests that individuals scoring high on psychopathy exhibit aberrant resting-state paralimbic functional network connectivity (FNC). However, it is unclear whether similar results extend to women scoring high on psychopathy. This study examined whether psychopathic traits [assessed via the Hare Psychopathy Checklist - Revised (PCL-R)] were associated with aberrant inter-network connectivity, intra-network connectivity (i.e., functional coherence within a network), and amplitude of fluctuations across limbic and surrounding paralimbic regions among incarcerated women (n = 297). Resting-state networks were identified by applying group Independent Component Analysis to resting-state fMRI scans. We tested the association of psychopathic traits (PCL-R Factor 1 measuring interpersonal/affective psychopathic traits and PCL-R Factor 2 assessing lifestyle/antisocial psychopathic traits) to the three FNC measures. PCL-R Factor 1 scores were associated with increased low-frequency fluctuations in executive control and attentional networks, decreased high-frequency fluctuations in executive control and visual networks, and decreased intra-network FNC in default mode network. PCL-R Factor 2 scores were associated with decreased high-frequency fluctuations and default mode networks, and both increased and decreased intra-network functional connectivity in visual networks. Similar to previous analyses in incarcerated men, our results suggest that psychopathic traits among incarcerated women are associated with aberrant intra-network amplitude fluctuations and connectivity across multiple networks including limbic and surrounding paralimbic regions.
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Affiliation(s)
- Corey H. Allen
- The Mind Research Network, Albuquerque, NM, United States
| | | | - Bethany G. Edwards
- The Mind Research Network, Albuquerque, NM, United States
- Department of Psychology, University of New Mexico, Albuquerque, NM, United States
| | | | | | | | - Vince D. Calhoun
- Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Georgia State University, Emory University, Atlanta, GA, United States
- Department of Computer Science, Georgia State University, Atlanta, GA, United States
| | - Kent A. Kiehl
- The Mind Research Network, Albuquerque, NM, United States
- Department of Psychology, University of New Mexico, Albuquerque, NM, United States
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Deming P, Heilicher M, Koenigs M. How reliable are amygdala findings in psychopathy? A systematic review of MRI studies. Neurosci Biobehav Rev 2022; 142:104875. [PMID: 36116578 DOI: 10.1016/j.neubiorev.2022.104875] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 08/31/2022] [Accepted: 09/13/2022] [Indexed: 10/31/2022]
Abstract
The amygdala is a key component in predominant neural circuitry models of psychopathy. Yet, after two decades of neuroimaging research on psychopathy, the reproducibility of amygdala findings is questionable. We systematically reviewed MRI studies (81 of adults, 53 of juveniles) to determine the consistency of amygdala findings across studies, as well as within specific types of experimental tasks, community versus forensic populations, and the lowest- versus highest-powered studies. Three primary findings emerged. First, the majority of studies found null relationships between psychopathy and amygdala structure and function, even in the context of theoretically relevant tasks. Second, findings of reduced amygdala activity were more common in studies with low compared to high statistical power. Third, the majority of peak coordinates of reduced amygdala activity did not fall primarily within the anatomical bounds of the amygdala. Collectively, these findings demonstrate significant gaps in the empirical support for the theorized role of the amygdala in psychopathy and indicate the need for novel research perspectives and approaches in this field.
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Affiliation(s)
- Philip Deming
- Department of Psychology, Northeastern University, 360 Huntington Ave., Boston, MA 02115, USA.
| | - Mickela Heilicher
- Department of Psychiatry, University of Wisconsin-Madison, 6001 Research Park Blvd., Madison, WI 53719, USA
| | - Michael Koenigs
- Department of Psychiatry, University of Wisconsin-Madison, 6001 Research Park Blvd., Madison, WI 53719, USA
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Yoder KJ, Harenski CL, Kiehl KA, Decety J. Psychopathic traits modulate functional connectivity during pain perception and perspective-taking in female inmates. Neuroimage Clin 2022; 34:102984. [PMID: 35276604 PMCID: PMC8907686 DOI: 10.1016/j.nicl.2022.102984] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 03/03/2022] [Accepted: 03/04/2022] [Indexed: 11/25/2022]
Abstract
PCL-R scores are associated with altered functional connectivity in female inmates. PCL-R Factor 1 and Factor 2 subscores predicted opposite shifts in connectivity. Functional connectivity in the salience network is altered during pain perception. Connectivity in the social cognition network is altered during perspective-taking.
The ability to share and understand the distress of others is critical for successful social interactions and is a fundamental building block of morality. Psychopathy is a personality disorder that includes lack of empathy and concern for others. In the present study, functional MRI was used to examine neural responses and functional connectivity associated with empathy and affective perspective-taking in female inmates (N = 109) with various levels of psychopathic traits, as measured with Psychopathy Checklist-Revised (PCL-R). Participants viewed hands and feet in painful or non-painful situations while adopting a first person or third person perspective. All participants demonstrated robust neural responses in anterior insula (aINS), anterior cingulate (ACC), temporoparietal junction (TPJ) and supplementary motor area (SMA) when viewing pain, both during imagine-self and imagine-other blocks. Psychopathy shifted the functional connectivity seeded in core nodes of the salience and social cognition networks. Perceiving stimuli depicting somatic pain led to decreased functional coupling from right temporoparietal junction to superior temporal sulcus, which correlated with scores on PCL-R Factor 1 (Affective/Interpersonal). In contrast, connectivity from right insula to precuneus increased with Factor 2 (Lifestyle/Antisocial) scores. When adopting a third-person perspective, psychopathic traits modulated connectivity from the social cognition network, but not the salience network, with Factor 1 scores associated with increased connectivity to sensorimotor cortex and temporal pole, while Factor 2 scores were associated with decreased connectivity with ACC/SMA and inferior frontal gyrus. Overall, these results demonstrate that psychopathic traits in incarcerated females are associated with atypical functional connectivity within the salience network during pain-empathy processing and within the social cognition network during affective perspective-taking.
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Affiliation(s)
- Keith J Yoder
- Department of Psychology, University of Chicago, Chicago, IL, United States.
| | - Carla L Harenski
- The Mind Research Network and Lovelace Biomedical, Albuquerque, NM, United States; Department of Psychology, University of New Mexico, Albuquerque, NM, United States
| | - Kent A Kiehl
- The Mind Research Network and Lovelace Biomedical, Albuquerque, NM, United States; Department of Psychology, University of New Mexico, Albuquerque, NM, United States
| | - Jean Decety
- Department of Psychology, University of Chicago, Chicago, IL, United States; Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, United States
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11
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Huang Q, Qiao C, Jing K, Zhu X, Ren K. Biomarkers identification for Schizophrenia via VAE and GSDAE-based data augmentation. Comput Biol Med 2022; 146:105603. [PMID: 35588680 DOI: 10.1016/j.compbiomed.2022.105603] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 04/13/2022] [Accepted: 05/07/2022] [Indexed: 11/24/2022]
Abstract
Deep learning has made great progress in analyzing MRI data, while the MRI data with high dimensional but small sample size (HDSSS) brings many limitations to biomarkers identification. Few-shot learning has been proposed to solve such problems and data augmentation is a typical method of it. The variational auto-encoder (VAE) is a generative method based on variational Bayesian inference that is used for data augmentation. Graph regularized sparse deep autoencoder (GSDAE) can reconstruct sparse samples and keep the manifold structure of data which will facilitate biomarkers selection greatly. To generate better HDSSS data for biomarkers identification, a data augmentation method based on VAE and GSDAE is proposed in this paper, termed GS-VDAE. Instead of utilizing the final products of GSDAE, our proposed model embeds the generation procedure into GSDAE for augmentation. In this way, the augmented samples will be rooted in the significant features extracted from the original samples, which can ensure the newly formed samples contain the most significant characteristics of the original samples. The classification accuracy of the samples generated directly from VAE is 0.74, while the classification accuracy of the samples generated from GS-VDAE is 0.84, which proves the validity of our model. Additionally, a regression feature selection method with truncated nuclear norm regularization is chosen for biomarkers selection. The biomarkers selection results of schizophrenia data reveal that the augmented samples obtained by our proposed method can get higher classification accuracy with less ranked features compared with original samples, which proves the validation of our model.
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Affiliation(s)
- Qi Huang
- School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, 710049, China.
| | - Chen Qiao
- School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, 710049, China.
| | - Kaili Jing
- School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, 710049, China; Department of Mathematics and Statistics, University of Ottawa, Ottawa, K7L 3P7, Canada.
| | - Xu Zhu
- School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, 710049, China.
| | - Kai Ren
- Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
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12
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Mendez MF. THE IMPLICATIONS OF FRONTOTEMPORAL DEMENTIA FOR BRAIN DYSFUNCTION IN PSYCHOPATHY. Biol Psychol 2022; 171:108342. [PMID: 35487297 DOI: 10.1016/j.biopsycho.2022.108342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 03/15/2022] [Accepted: 04/21/2022] [Indexed: 11/17/2022]
Abstract
Understanding how psychopathy compares with brain disease can help clarify its underlying mechanisms. This literature review is a broad overview of the neurobiology of psychopathic traits in comparison to behavioral variant frontotemporal dementia (bvFTD), a disorder uniquely associated with criminal behavior. In addition to violation of social norms, both psychopathy and bvFTD result in impaired socioemotional perception and empathy, impulsivity, and altered moral judgment. Despite wide areas of decreased function in psychopathy, structural changes are primarily evident in amygdala and, to a lesser extent, anterior insula, whereas in bvFTD neuropathology involves a wider paralimbic region. In psychopathy, relatively intact medial prefrontal and anterior cingulate cortices facilitate theory of mind and psychopathic traits such as deceitfulness and manipulation, bold fearlessness, and risk-taking behavior. In conclusion, many frontotemporal areas are hypoactive in psychopathy and bvFTD, but differences in dysfunctional connectivity in psychopathy vs. direct involvement in bvFTD potentially explain similarities and differences between these two conditions.
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Affiliation(s)
- Mario F Mendez
- Department of Neurology and Department of Psychiatry and Behavioral Sciences, David Geffen School of Medicine, University of California Los Angeles (UCLA); Neurology Service, Neurobehavior Unit, V.A. Greater Los Angeles Healthcare System.
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13
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Marshall NA, Kaplan J, Stoycos SA, Goldenberg D, Khoddam H, Cárdenas SI, Sellery P, Saxbe D. Stronger Mentalizing Network Connectivity in Expectant Fathers Predicts Postpartum Father-Infant Bonding and Parenting Behavior. Soc Neurosci 2022; 17:21-36. [PMID: 35034575 DOI: 10.1080/17470919.2022.2029559] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Fathers play a critical role in parenting and in shaping child outcomes. However, the neurobiological underpinnings of successful adjustment to fatherhood have not been well-specified. Empathy and mentalizing abilities may characterize more effective fathering. These abilities may be supported by the functional connectivity (FC) of brain regions associated with social cognition and executive control. We used a seed-region-based approach to assess resting-state FC (rsFC) of the medial prefrontal cortex (mPFC) in 40 expectant fathers. We tested associations between mPFC whole-brain rsFC and fathers' self-report measures of empathy during pregnancy, as well as their ratings of father-infant bonding and fathering behaviors at six months postpartum. Stronger prenatal rsFC between the mPFC and precuneus, frontal pole, planum polare, and orbitofrontal cortex (OFC) was negatively associated with self-reported empathic concern and perspective-taking, whereas mPFC rsFC with the lateral occipital cortex (LOC) was positively associated with self-reported perspective-taking. Additionally, stronger prenatal connectivity between the mPFC rsFC and the superior parietal lobule and LOC regions predicted father reports of postpartum bonding with infants, and stronger prenatal mPFC rsFC with the LOC predicted more effective postpartum parenting. This study is the first to measure rsFC in expectant fathers as a predictor of subsequent adjustment to fathering.
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Affiliation(s)
| | - Jonas Kaplan
- University of Southern California, Department of Psychology
| | | | | | - Hannah Khoddam
- University of Southern California, Department of Psychology
| | | | - Pia Sellery
- University of Southern California, Department of Psychology
| | - Darby Saxbe
- University of Southern California, Department of Psychology
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14
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Miglin R, Rodriguez S, Bounoua N, Sadeh N. A Multidimensional Examination of Psychopathy Traits and Gray Matter Volume in Adults. Soc Cogn Affect Neurosci 2021; 17:662-672. [PMID: 34878140 PMCID: PMC9250300 DOI: 10.1093/scan/nsab131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 11/20/2021] [Accepted: 12/06/2021] [Indexed: 11/24/2022] Open
Abstract
Uncovering the neurobiological abnormalities that may contribute to the manifestation of psychopathic traits is an important step toward understanding the etiology of this disorder. Although many studies have examined gray matter volume (GMV) in relation to psychopathy, few have examined how dimensions of psychopathic traits interactively relate to GMV, an approach that holds promise for parsing heterogeneity in neurobiological risk factors for this disorder. The aim of this study was to investigate the affective-interpersonal (Factor 1) and impulsive-antisocial (Factor 2) dimensions of psychopathy in relation to cortical surface and subcortical GMV in a mixed-gender, high-risk community sample with significant justice-system involvement (N = 156, 50.0% men). Cortex-wide analysis indicated that (i) the Factor 1 traits correlated negatively with GMV in two cortical clusters, one in the right rostral middle frontal region and one in the occipital lobe, and (ii) the interaction of the affective-interpersonal and impulsive-antisocial traits was negatively associated with GMV bilaterally in the parietal lobe, such that individuals high on both trait dimensions evidenced reduced GMV relative to individuals high on only one psychopathy factor. An interactive effect also emerged for bilateral amygdalar and hippocampal GMV, such that Factor 1 psychopathic traits were significantly negatively associated with GMV only at high (but not low) levels of Factor 2 traits. Results extend prior research by demonstrating the neurobiological correlates of psychopathy differ based on the presentation of Factor 1 and 2 traits.
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Affiliation(s)
- Rickie Miglin
- University of Delaware, Department of Psychological & Brain Sciences, Newark, DE 19716, USA
| | - Samantha Rodriguez
- University of Delaware, Department of Psychological & Brain Sciences, Newark, DE 19716, USA
| | - Nadia Bounoua
- University of Delaware, Department of Psychological & Brain Sciences, Newark, DE 19716, USA
| | - Naomi Sadeh
- University of Delaware, Department of Psychological & Brain Sciences, Newark, DE 19716, USA
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15
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Ye S, Zhu B, Zhao L, Tian X, Yang Q, Krueger F. Connectome-based model predicts individual psychopathic traits in college students. Neurosci Lett 2021; 769:136387. [PMID: 34883220 DOI: 10.1016/j.neulet.2021.136387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 11/26/2021] [Accepted: 12/02/2021] [Indexed: 10/19/2022]
Abstract
BACKGROUND Psychopathic traits have been suggested to increase the risk of violations of socio-moral norms. Previous studies revealed that abnormal neural signatures are associated with elevated psychopathic traits; however, whether the intrinsic network architecture can predict psychopathic traits at the individual level remains unclear. METHODS The present study utilized connectome-based predictive modeling (CPM) to investigate whether whole-brain resting-state functional connectivity (RSFC) can predict psychopathic traits in the general population. Resting-state fMRI data were collected from 84 college students with varying psychopathic traits measured by the Levenson Self-Report Psychopathy Scale (LSRP). RESULTS Functional connections that were negatively correlated with psychopathic traits predicted individual differences in total LSRP and secondary psychopathy score but not primary score. Particularly, nodes with the most connections in the predictive connectome anchored in the prefrontal cortex (e.g., anterior prefrontal cortex and orbitofrontal cortex) and limbic system (e.g., anterior cingulate cortex and insula). In addition, the connections between the occipital network (OCCN) and cingulo-opercular network (CON) served as a significant predictive connectome for total LSRP and secondary psychopathy score. CONCLUSION CPM constituted by whole-brain RSFC significantly predicted psychopathic traits individually in the general population. The brain areas including the prefrontal cortex and limbic system and large-scale networks including the CON and OCCN play special roles in the predictive model-possibly reflecting atypical cognitive control and affective processing for individuals with elevated psychopathic traits. These findings may facilitate detection and potential intervention of individuals with maladaptive psychopathic tendency.
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Affiliation(s)
- Shuer Ye
- Department of Psychology, Jing Hengyi School of Education, Hangzhou Normal University, Hangzhou, China
| | - Bing Zhu
- School of Marxism, Zhejiang Yuexiu University, Shaoxing, China
| | - Lei Zhao
- Department of Psychology, Jing Hengyi School of Education, Hangzhou Normal University, Hangzhou, China; Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, China
| | - Xuehong Tian
- Department of Psychology, Jing Hengyi School of Education, Hangzhou Normal University, Hangzhou, China
| | - Qun Yang
- Department of Psychology, Jing Hengyi School of Education, Hangzhou Normal University, Hangzhou, China.
| | - Frank Krueger
- School of Systems Biology, George Mason University, Fairfax, VA, USA; Department of Psychology, University of Mannheim, Mannheim, Germany
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16
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Winters DE, Sakai JT, Carter RM. Resting-state network topology characterizing callous-unemotional traits in adolescence. Neuroimage Clin 2021; 32:102878. [PMID: 34911187 PMCID: PMC8604808 DOI: 10.1016/j.nicl.2021.102878] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 10/13/2021] [Accepted: 11/05/2021] [Indexed: 12/02/2022]
Abstract
BACKGROUND Callous-unemotional (CU) traits, a youth antisocial phenotype, are hypothesized to associate with aberrant connectivity (dis-integration) across the salience (SAL), default mode (DMN), and frontoparietal (FPN) networks. However, CU traits have a heterogeneous presentation and previous research has not modeled individual heterogeneity in resting-state connectivity amongst adolescents with CU traits. The present study models individual-specific network maps and examines topological features of individual and subgroup maps in relation to CU traits. METHODS Participants aged 13-17 (n = 84, male = 55%, female = 45%) completed resting-state functional connectivity and the inventory of callous-unemotional traits as part of the Nathan Klein Rockland study. A sparse network approach (GIMME) was used to derive individual-level and subgroup maps of all participants. We then examined heterogeneous network features, including positive and negative connection density, associated with CU traits. RESULTS Higher rates of CU traits increased probability of inclusion in one subgroup, which had the highest mean level of CU traits. Analysis of network features reveals less density (positive and negative) within the FPN and greater density between DMN-FPN associated with CU traits. DISCUSSION Findings indicate heterogeneous person-specific connections and some subgroup connections amongst adolescents associate with CU traits. Higher CU traits associate with lower density in the FPN, which has been associated with attention and inhibition, and higher density between the DMN-FPN, which have been linked with cognitive control, social working memory, and empathy. Our findings suggest less efficiency in FPN function which, when considered mechanistically, could result in difficulty suppressing DMN when task positive networks are engaged. This is an area for further exploration but could explain cognitive and socio-affective impairments in CU traits.
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Affiliation(s)
- Drew E Winters
- Department of Psychiatry, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA.
| | - Joseph T Sakai
- Department of Psychiatry, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA
| | - R McKell Carter
- Institute of Cognitive Science, University of Colorado Boulder, Boulder, CO, USA; Department of Electrical, Computer and Energy Engineering, University of Colorado Boulder, Boulder, CO, USA; Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
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17
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Klöckner MS, Jordan K, Kiehl KA, Nyalakanti PK, Harenski CL, Müller JL. Widespread and interrelated gray matter reductions in child sexual offenders with and without pedophilia: Evidence from a multivariate structural MRI study. Psychiatry Clin Neurosci 2021; 75:331-340. [PMID: 34346537 DOI: 10.1111/pcn.13292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Revised: 06/30/2021] [Accepted: 07/19/2021] [Indexed: 11/27/2022]
Abstract
AIM To further investigate the neuroanatomical correlates of child sexual offending and disentangle them from the neural correlates of pedophilia, using a multivariate analytical approach in order to minimize loss of statistical power. METHODS This study presents structural MRI data on gray matter in an incarcerated, male population of 22 pedophilic and 21 non-pedophilic child sexual offenders, and 20 violent non-sexual offender controls, based on a multivariate whole-brain approach using source-based morphometry. RESULTS We identify a network of several neuroanatomical regions exhibiting interrelated reduced gray matter in both child sexual offender groups relative to controls, comprising extensive clusters in the bilateral cerebellum and frontal lobe, as well as smaller clusters in the bilateral parietal, temporal, and occipital lobes, the bilateral basal ganglia, the medial cingulate and the hippocampus. CONCLUSION Our results speak to the interpretation that there are inter- and possibly connectivity-related brain structural abnormalities in child sexual offenders that are not (only) pertaining to pedophilia per se. Interpretations and limitations of the present data are discussed and recommendations for future works are given.
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Affiliation(s)
- Mona S Klöckner
- Forensic Psychiatry and Psychotherapy, Clinic of Psychiatry and Psychotherapy, University Medical Center, University of Göttingen, Göttingen, Germany.,Research Department Transnational Politics, Peace Research Institute Frankfurt, Frankfurt, Germany
| | - Kirsten Jordan
- Forensic Psychiatry and Psychotherapy, Clinic of Psychiatry and Psychotherapy, University Medical Center, University of Göttingen, Göttingen, Germany
| | - Kent A Kiehl
- The Mind Research Network & Lovelace Biomedical and Environmental Research Institute, Albuquerque, New Mexico, USA.,Department of Psychology, University of New Mexico, Albuquerque, New Mexico, USA
| | - Prashanth K Nyalakanti
- The Mind Research Network & Lovelace Biomedical and Environmental Research Institute, Albuquerque, New Mexico, USA
| | - Carla L Harenski
- The Mind Research Network & Lovelace Biomedical and Environmental Research Institute, Albuquerque, New Mexico, USA
| | - Jürgen L Müller
- Forensic Psychiatry and Psychotherapy, Clinic of Psychiatry and Psychotherapy, University Medical Center, University of Göttingen, Göttingen, Germany
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18
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Calzada-Reyes A, Alvarez-Amador A, Galán-Garcia L, Valdés-Sosa M. Electroencephalographic and morphometric abnormalities in psychopath offenders. BEHAVIORAL SCIENCES & THE LAW 2021; 39:597-610. [PMID: 34800344 DOI: 10.1002/bsl.2548] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 10/21/2021] [Accepted: 11/02/2021] [Indexed: 06/13/2023]
Abstract
The main goals of the present study were to replicate and extend current knowledge related to paralimbic dysfunctions associated with psychopathy. The research evaluated the quantitative electroencephalography, current density (CD) source and synchronization likelihood analysis during the rest condition and structural magnetic resonance imaging images to compare volumetric and cortical thickness, in inmates recruited from two prisons located in Havana City. The Psychopathy Checklist-Revised (PCL-R) was used as a quantitative measure of psychopathy. This study showed most beta energy and less alpha activity in male psychopath offenders. Low-resolution electromagnetic tomography signified an increase of beta activity in psychopath offender groups within paralimbic regions. The superior temporal gyrus volume was associated with the F1 factor while the fusiform, anterior cingulate and associative occipital areas were primarily associated with the F2 factor of PCL-R scale. Cortical thickness in the left dorsal anterior cingulate cortex and the temporal pole was negatively associated with PCL-R total score.
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Affiliation(s)
- Ana Calzada-Reyes
- Department of Clinical Neurophysiology, Cuban Center for Neuroscience, Havana, Cuba
| | | | | | - Mitchell Valdés-Sosa
- Department of Cognitive Neurosciences, Cuban Center for Neuroscience, Havana, Cuba
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19
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Blair RJ, Zhang RU, Bashford-Largo J, Bajaj S, Mathur A, Ringle J, Schwartz A, Elowsky J, Dobbertin M, Blair KS, Tyler PM. Reduced neural responsiveness to looming stimuli is associated with increased aggression. Soc Cogn Affect Neurosci 2021; 16:1091-1099. [PMID: 33960389 PMCID: PMC8483278 DOI: 10.1093/scan/nsab058] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 03/22/2021] [Accepted: 05/06/2021] [Indexed: 12/13/2022] Open
Abstract
While neuro-cognitive work examining aggression has examined patients with conditions at increased risk for aggression or individuals self-reporting past aggression, little work has attempted to identify neuro-cognitive markers associated with observed/recorded aggression. The goal of the current study was to determine the extent to which aggression by youth in the first three months of residential care was associated with atypical responsiveness to threat stimuli. This functional MRI study involved 98 (68 male; mean age = 15.96 [sd = 1.52]) adolescents in residential care performing a looming threat task involving images of threatening and neutral human faces or animals that appeared to be either loom or recede. Level of aggression was negatively associated with responding to looming stimuli (irrespective of whether these were threatening or neutral) within regions including bilateral inferior frontal gyrus, right inferior parietal lobule, right superior/middle temporal gyrus and a region of right uncus proximal to the amygdala. These data indicate that aggression level is associated with a decrease in responsiveness to a basic threat cue-looming stimuli. Reduced threat responsiveness likely results in the individual being less able to represent the negative consequences that may result from engaging in aggression, thereby increasing the risk for aggressive episodes.
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Affiliation(s)
- R James Blair
- Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE 68154, USA
| | - R u Zhang
- Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE 68154, USA
| | - Johannah Bashford-Largo
- Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE 68154, USA
| | - Sahil Bajaj
- Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE 68154, USA
| | - Avantika Mathur
- Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE 68154, USA
| | - Jay Ringle
- Translational Research Center, Boys Town, NE 68154, USA
| | - Amanda Schwartz
- Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE 68154, USA
| | - Jaimie Elowsky
- Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE 68154, USA
| | - Matthew Dobbertin
- Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE 68154, USA
| | - Karina S Blair
- Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE 68154, USA
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20
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Werhahn JE, Mohl S, Willinger D, Smigielski L, Roth A, Hofstetter C, Stämpfli P, Naaijen J, Mulder LM, Glennon JC, Hoekstra PJ, Dietrich A, Kleine Deters R, Aggensteiner PM, Holz NE, Baumeister S, Banaschewski T, Saam MC, Schulze UME, Lythgoe DJ, Sethi A, Craig MC, Mastroianni M, Sagar-Ouriaghli I, Santosh PJ, Rosa M, Bargallo N, Castro-Fornieles J, Arango C, Penzol MJ, Zwiers MP, Franke B, Buitelaar JK, Walitza S, Brandeis D. Aggression subtypes relate to distinct resting state functional connectivity in children and adolescents with disruptive behavior. Eur Child Adolesc Psychiatry 2021; 30:1237-1249. [PMID: 32789793 PMCID: PMC8310860 DOI: 10.1007/s00787-020-01601-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2019] [Accepted: 07/08/2020] [Indexed: 12/11/2022]
Abstract
There is increasing evidence for altered brain resting state functional connectivity in adolescents with disruptive behavior. While a considerable body of behavioral research points to differences between reactive and proactive aggression, it remains unknown whether these two subtypes have dissociable effects on connectivity. Additionally, callous-unemotional traits are important specifiers in subtyping aggressive behavior along the affective dimension. Accordingly, we examined associations between two aggression subtypes along with callous-unemotional traits using a seed-to-voxel approach. Six functionally relevant seeds were selected to probe the salience and the default mode network, based on their presumed role in aggression. The resting state sequence was acquired from 207 children and adolescents of both sexes [mean age (standard deviation) = 13.30 (2.60); range = 8.02-18.35] as part of a Europe-based multi-center study. One hundred eighteen individuals exhibiting disruptive behavior (conduct disorder/oppositional defiant disorder) with varying comorbid attention-deficit/hyperactivity disorder (ADHD) symptoms were studied, together with 89 healthy controls. Proactive aggression was associated with increased left amygdala-precuneus coupling, while reactive aggression related to hyper-connectivities of the posterior cingulate cortex (PCC) to the parahippocampus, the left amygdala to the precuneus and to hypo-connectivity between the right anterior insula and the nucleus caudate. Callous-unemotional traits were linked to distinct hyper-connectivities to frontal, parietal, and cingulate areas. Additionally, compared to controls, cases demonstrated reduced connectivity of the PCC and left anterior insula to left frontal areas, the latter only when controlling for ADHD scores. Taken together, this study revealed aggression-subtype-specific patterns involving areas associated with emotion, empathy, morality, and cognitive control.
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Affiliation(s)
- Julia E Werhahn
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry, University of Zurich, Neumünsterallee 9, 8032, Zurich, Switzerland.
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland.
| | - Susanna Mohl
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry, University of Zurich, Neumünsterallee 9, 8032, Zurich, Switzerland
| | - David Willinger
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry, University of Zurich, Neumünsterallee 9, 8032, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Lukasz Smigielski
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry, University of Zurich, Neumünsterallee 9, 8032, Zurich, Switzerland
| | - Alexander Roth
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry, University of Zurich, Neumünsterallee 9, 8032, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Christoph Hofstetter
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry, University of Zurich, Neumünsterallee 9, 8032, Zurich, Switzerland
| | - Philipp Stämpfli
- Department of Psychiatry, Psychotherapy and Psychosomatics and Department of Child and Adolescent Psychiatry, Psychiatric Hospital, MR-Center, University of Zurich, Zurich, Switzerland
| | - Jilly Naaijen
- Donders Institute for Brain, Cognition and Behaviour, Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, The Netherlands
| | - Leandra M Mulder
- Donders Institute for Brain, Cognition and Behaviour, Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, The Netherlands
| | - Jeffrey C Glennon
- Donders Institute for Brain, Cognition and Behaviour, Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Pieter J Hoekstra
- Department of Child and Adolescent Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Andrea Dietrich
- Department of Child and Adolescent Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Renee Kleine Deters
- Department of Child and Adolescent Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Pascal M Aggensteiner
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/ Heidelberg University, Mannheim, Germany
| | - Nathalie E Holz
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/ Heidelberg University, Mannheim, Germany
| | - Sarah Baumeister
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/ Heidelberg University, Mannheim, Germany
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/ Heidelberg University, Mannheim, Germany
| | - Melanie C Saam
- Department of Child and Adolescent Psychiatry/Psychotherapy, University Hospital, University of Ulm, Ulm, Germany
| | - Ulrike M E Schulze
- Department of Child and Adolescent Psychiatry/Psychotherapy, University Hospital, University of Ulm, Ulm, Germany
| | - David J Lythgoe
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Arjun Sethi
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Michael C Craig
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Mathilde Mastroianni
- Department of Child Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Ilyas Sagar-Ouriaghli
- Department of Child Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Paramala J Santosh
- Department of Child Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Mireia Rosa
- Child and Adolescent Psychiatry Department, Hospital Clinic of Barcelona, IDIBAPS, Barcelona, Spain
| | - Nuria Bargallo
- Clinic Image Diagnostic Center (CDIC), Hospital Clinic of Barcelona, Magnetic Resonance Image Core Facility, IDIBAPS, Barcelona, Spain
| | - Josefina Castro-Fornieles
- Child and Adolescent Psychiatry and Psychology Department, Institute Clinic of Neurosciences, Hospital Clinic of Barcelona, CIBERSAM, IDIBAPS, Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Celso Arango
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón School of Medicine, IiSGM, CIBERSAM, Universidad Complutense, Madrid, Spain
| | - Maria J Penzol
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón School of Medicine, IiSGM, CIBERSAM, Universidad Complutense, Madrid, Spain
| | - Marcel P Zwiers
- Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, The Netherlands
| | - Barbara Franke
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jan K Buitelaar
- Donders Institute for Brain, Cognition and Behaviour, Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
- Karakter Child and Adolescent Psychiatry University Center, Nijmegen, The Netherlands
| | - Susanne Walitza
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry, University of Zurich, Neumünsterallee 9, 8032, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Daniel Brandeis
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry, University of Zurich, Neumünsterallee 9, 8032, Zurich, Switzerland.
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland.
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/ Heidelberg University, Mannheim, Germany.
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21
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Construction and analysis of cortical–muscular functional network based on EEG-EMG coherence using wavelet coherence. Neurocomputing 2021. [DOI: 10.1016/j.neucom.2021.01.102] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
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22
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Yoder KJ, Harenski C, Kiehl KA, Decety J. Neural responses to morally laden interactions in female inmates with psychopathy. Neuroimage Clin 2021; 30:102645. [PMID: 33838544 PMCID: PMC8045040 DOI: 10.1016/j.nicl.2021.102645] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 02/24/2021] [Accepted: 03/22/2021] [Indexed: 12/30/2022]
Abstract
Much of social cognition requires making inferences about the mental and emotional states of others. Moreover, understanding the emotions of others is an important foundation for moral decision-making. Psychopathy is associated with both aberrant emotional understanding and atypical hemodynamic responses when viewing and evaluating morally laden social interactions. In the present functional MRI study, female inmates (N = 107) were asked to evaluate the likely emotional state of either the recipient or the initiator of harmful or helpful interactions. Psychopathy was assessed with the Psychopathy Checklist-Revised (PCL-R). PCL-R scores were not associated with differences in confidence or accuracy ratings. However, psychopathy scores were significantly related to increased hemodynamic response in right dorsolateral prefrontal cortex when viewing harmful interactions and decreased functional connectivity from right amygdala to inferior parietal cortex and insula, and from temporal parietal junction to dorsomedial prefrontal cortex. Overall, this work indicates that in females, psychopathy is associated with normal behavioral accuracy and confidence but alterations in neural network activity during moral decision-making.
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Affiliation(s)
- Keith J Yoder
- Department of Psychology, University of Chicago, Chicago, IL, USA.
| | - Carla Harenski
- The Mind Research Network and Lovelace Biomedical, Albuquerque, NM, USA; Department of Psychology, University of New Mexico, Albuquerque, NM, USA
| | - Kent A Kiehl
- The Mind Research Network and Lovelace Biomedical, Albuquerque, NM, USA; Department of Psychology, University of New Mexico, Albuquerque, NM, USA
| | - Jean Decety
- Department of Psychology, University of Chicago, Chicago, IL, USA; Department of Psychiatry, and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
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23
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Scarpazza C, Miolla A, Zampieri I, Melis G, Sartori G, Ferracuti S, Pietrini P. Translational Application of a Neuro-Scientific Multi-Modal Approach Into Forensic Psychiatric Evaluation: Why and How? Front Psychiatry 2021; 12:597918. [PMID: 33613339 PMCID: PMC7892615 DOI: 10.3389/fpsyt.2021.597918] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2020] [Accepted: 01/14/2021] [Indexed: 01/01/2023] Open
Abstract
A prominent body of literature indicates that insanity evaluations, which are intended to provide influential expert reports for judges to reach a decision "beyond any reasonable doubt," suffer from a low inter-rater reliability. This paper reviews the limitations of the classical approach to insanity evaluation and the criticisms to the introduction of neuro-scientific approach in court. Here, we explain why in our opinion these criticisms, that seriously hamper the translational implementation of neuroscience into the forensic setting, do not survive scientific scrutiny. Moreover, we discuss how the neuro-scientific multimodal approach may improve the inter-rater reliability in insanity evaluation. Critically, neuroscience does not aim to introduce a brain-based concept of insanity. Indeed, criteria for responsibility and insanity are and should remain clinical. Rather, following the falsificationist approach and the convergence of evidence principle, the neuro-scientific multimodal approach is being proposed as a way to improve reliability of insanity evaluation and to mitigate the influence of cognitive biases on the formulation of insanity opinions, with the final aim to reduce errors and controversies.
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Affiliation(s)
- Cristina Scarpazza
- Department of General Psychology, University of Padova, Padova, Italy
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Alessio Miolla
- Department of General Psychology, University of Padova, Padova, Italy
| | - Ilaria Zampieri
- Molecular Mind Laboratory, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Giulia Melis
- Department of General Psychology, University of Padova, Padova, Italy
| | - Giuseppe Sartori
- Department of General Psychology, University of Padova, Padova, Italy
| | - Stefano Ferracuti
- Department of Human Neurosciences, “Sapienza” University of Rome, Rome, Italy
| | - Pietro Pietrini
- Molecular Mind Laboratory, IMT School for Advanced Studies Lucca, Lucca, Italy
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24
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Response-locked component of error monitoring in psychopathy: A systematic review and meta-analysis of error-related negativity/positivity. Neurosci Biobehav Rev 2021; 123:104-119. [PMID: 33497788 DOI: 10.1016/j.neubiorev.2021.01.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 01/06/2021] [Accepted: 01/07/2021] [Indexed: 12/31/2022]
Abstract
Evidence suggests that psychopathic individuals display difficulties to adapt their behavior in accordance with the demands of the environment and show altered performance monitoring. Studies investigating the error-related negativity (ERN) and the error-positivity (Pe) as electrophysiological markers of error monitoring reported contradictory results for this population. To explain these discrepancies, we hypothesized that psychopathy dimensions influence electrophysiological outcomes. We predicted that individuals with impulsive-antisocial features would display abnormal ERN compared to individuals with interpersonal-affective features. A systematic review and meta-analysis of studies investigating ERN and Pe components were conducted. A factorial analysis was undertaken to investigate the role of psychopathy dimensions on ERN and Pe. Compared to controls, psychopathic individuals (n = 940) showed a reduced ERN and Pe amplitude. The factorial analysis indicates a dissociation regarding the construct of psychopathy. The models reported that psychopathic individuals related specifically to the interpersonal-affective dimension displayed normal ERN component and efficient error-monitoring, while psychopathic individuals with a marked impulsive-antisocial dimension display a decreased ERN component and altered performance monitoring.
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25
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Lam BYH, Huang Y, Gao Y. Gray matter asymmetry in the orbitofrontal cortex in relation to psychopathic traits in adolescents. J Psychiatr Res 2021; 132:84-96. [PMID: 33068818 PMCID: PMC7736323 DOI: 10.1016/j.jpsychires.2020.10.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 08/21/2020] [Accepted: 10/01/2020] [Indexed: 11/29/2022]
Abstract
BACKGROUND Structural abnormalities in the orbitofrontal cortex (OFC) of incarcerated psychopaths have been well documented. However, the neural correlates of psychopathic traits in younger and nonclinical samples remain poorly understood. AIM The present study aimed to examine the structural brain asymmetry in the OFC in relation to dimensions of psychopathic traits in adolescents from the community. METHOD In 29 youths from the community, childhood psychopathic traits including narcissism, impulsivity, and callous-unemotional traits were assessed when they were 7- to 10 years old (Time 1), and their gray matter (GM) volumes were measured using structural Magnetic Resonance Imaging when they were 10- to 14 years old (Time 2). RESULTS After controlling for age, sex, IQ, pubertal stage, and whole-brain volumes, callous-unemotional traits were associated with right-left asymmetry in the medial OFC (mOFC), that is, smaller right mOFC GM as compared to the left. Impulsivity was associated with left-right asymmetry in the mOFC, that is, smaller left mOFC than the right. Narcissism was not associated with any GM asymmetry measure. No significant association was found for the lateral OFC, amygdala, caudate and putamen. CONCLUSION The present findings provide further support that dimensions of psychopathic traits may have distinct neurobiological correlates.
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Affiliation(s)
- Bess Yin- Hung Lam
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University,Correspondence: Dr. Bess Yin-Hung Lam, address:
| | - Yonglin Huang
- Brooklyn College, The City University of New York,The Graduate Center, City University of New York
| | - Yu Gao
- Brooklyn College, The City University of New York,The Graduate Center, City University of New York
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26
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Connections that characterize callousness: Affective features of psychopathy are associated with personalized patterns of resting-state network connectivity. NEUROIMAGE-CLINICAL 2020; 28:102402. [PMID: 32891038 PMCID: PMC7479442 DOI: 10.1016/j.nicl.2020.102402] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 08/18/2020] [Accepted: 08/25/2020] [Indexed: 11/29/2022]
Abstract
There was significant heterogeneity in participants’ neural networks. Psychopathy associated with default mode-central executive network connectivity. Associations were specific to affective psychopathic traits.
Background Psychopathic traits are hypothesized to be associated with dysfunction across three resting-state networks: the default mode (DMN), salience (SN), and central executive (CEN). Past work has not considered heterogeneity in the neural networks of individuals who display psychopathic traits, which is likely critical in understanding the etiology of psychopathy and could underlie different symptom presentations. Thus, this study maps person-specific resting state networks and links connectivity patterns to features of psychopathy. Methods We examined resting-state functional connectivity among eight regions of interest in the DMN, SN, and CEN using a person-specific, sparse network mapping approach (Group Iterative Multiple Model Estimation) in a community sample of 22-year-old men from low-income, urban families (N = 123). Associations were examined between a dimensional measure of psychopathic traits and network density (i.e., number of connections within and between networks). Results There was significant heterogeneity in neural networks of participants, which were characterized by person-specific connections and no common connections across the sample. Psychopathic traits, particularly affective traits, were associated with connection density between the DMN and CEN, such that greater density was associated with elevated psychopathic traits. Discussion Findings emphasize that neural networks underlying psychopathy are highly individualized. However, individuals with high levels of psychopathic traits had increased density in connections between the DMN and CEN, networks that have been linked with self-referential thinking and executive functioning. Taken together, the results highlight the utility of person-specific approaches in modeling neural networks underlying psychopathic traits, which could ultimately inform personalized prevention and intervention strategies.
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27
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Decety J. [The contribution of forensic neuroscience to psychopathy]. L'ENCEPHALE 2020; 46:301-307. [PMID: 32312566 PMCID: PMC7398850 DOI: 10.1016/j.encep.2020.02.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 02/11/2020] [Accepted: 02/13/2020] [Indexed: 12/31/2022]
Abstract
Psychopathy is a construct characterized by symptoms of emotional detachment, a lack of empathy, guilt and remorse, irresponsibility and a propensity for impulsive behavior. This article critically evaluates the contribution of structural and functional neuroimaging to the understanding of this personality disorder in North American forensic populations with psychopathic traits. Neuroimaging results are highly variable. They report numerous structural and functional abnormalities that are not limited to the amygdala and the ventromedial prefrontal cortex but include the striatum, hippocampus, and uncinate fasciculus. These brain abnormalities underlie an attenuated emotion processing functioning (but not an absence) and aversion to negative and threats signals, reinforcement learning, representation of rewards and modulation of attention that have an impact in decision-making, caring for others, and moral judgment. It is important to note that the neuroanatomical, neurofunctional, and behavioral differences between individuals with high psychopathic traits and those with low traits are highly heterogeneous and of degree rather than of nature.
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Affiliation(s)
- J Decety
- Department of psychology and department of psychiatry and behavioral neuroscience, University of Chicago, 5848, South University avenue, 60637 Chicago, IL, États-Unis.
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28
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Callous-unemotional traits and reduced default mode network connectivity within a community sample of children. Dev Psychopathol 2020; 33:1170-1183. [PMID: 32654667 DOI: 10.1017/s0954579420000401] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Callous-unemotional (CU) traits characterize a subset of youth at risk for persistent and serious antisocial behavior. Differences in resting state connectivity in the default mode network (DMN) have been associated with CU traits in forensic and clinical samples of adolescents and with deficient interpersonal/affective traits (often operationalized as Factor 1 psychopathy traits) in adults. It is unclear whether these brain-behavior associations extend to community-based children. Using mixed model analyses, we tested the associations between CU traits and within-network resting-state connectivity of seven task-activated networks and the DMN using data from 9,636 9-11-year-olds in the Adolescent Brain Cognitive Development (ABCD) study. Even after accounting for comorbid externalizing problems, higher levels of CU traits were associated with reduced connectivity within the DMN. This finding is consistent with prior literature surrounding psychopathy and CU traits in clinically and forensically based populations, suggesting the correlation likely exists on a spectrum, can be detected in childhood, and is not restricted to children with significant antisocial behavior.
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29
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Maffei A, Polver S, Spironelli C, Angrilli A. EEG gamma activity to emotional movies in individuals with high traits of primary "successful" psychopathy. Brain Cogn 2020; 143:105599. [PMID: 32652444 DOI: 10.1016/j.bandc.2020.105599] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2020] [Revised: 06/26/2020] [Accepted: 06/28/2020] [Indexed: 12/22/2022]
Abstract
This study aimed to investigate emotional alterations in a community sample with primary psychopathic traits. Sixty males selected from a larger sample and divided in two groups, High (HP) and Low (LP) primary Psychopathy, watched 15 validated emotional movies divided in five categories (Erotic, Neutral, Fear, and the new Scenery and Compassion). Subjective responses and cortical activity in the EEG Gamma band (30-49 Hz) were recorded. Concerning self-reports, HP participants felt less anxious and anguished in response to Fear clips and less sad, touched and anguished by Compassion excerpts. Negative clips induced larger EEG Gamma activity in both groups compared to neutral and erotic movies, but Gamma activity to Fear movies was reduced in HP. This group showed also a small cortical response to positive Scenery movies, at the level of the Neutral ones. Source analysis showed in HP participants a reduced cortical activation to Fear in a large brain network, comprising the right prefrontal and temporal cortices and bilateral inferior parietal cortex. Results showed that primary psychopathy, in addition to the impaired response to Fear, was associated with a reduced response also to other specific categories of emotional stimuli, suggesting an altered affect on a broader scale.
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Affiliation(s)
- Antonio Maffei
- Department of General Psychology, University of Padova, Via Venezia 8, 35131 Padova, Italy
| | - Silvia Polver
- Department of General Psychology, University of Padova, Via Venezia 8, 35131 Padova, Italy
| | - Chiara Spironelli
- Department of General Psychology, University of Padova, Via Venezia 8, 35131 Padova, Italy; PNC - Padova Neuroscience Center, University of Padova, Via Orus 2, 35131 Padova, Italy
| | - Alessandro Angrilli
- Department of General Psychology, University of Padova, Via Venezia 8, 35131 Padova, Italy; IN CNR Institute of Neuroscience, Padova Section, Viale Colombo 3, 35131 Padova, Italy; PNC - Padova Neuroscience Center, University of Padova, Via Orus 2, 35131 Padova, Italy.
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30
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Deming P, Koenigs M. Functional neural correlates of psychopathy: a meta-analysis of MRI data. Transl Psychiatry 2020; 10:133. [PMID: 32376864 PMCID: PMC7203015 DOI: 10.1038/s41398-020-0816-8] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 04/15/2020] [Accepted: 04/22/2020] [Indexed: 11/08/2022] Open
Abstract
Neuroimaging studies over the last two decades have begun to specify the neurobiological correlates of psychopathy, a personality disorder that is strongly related to criminal offending and recidivism. Despite the accumulation of neuroimaging studies of psychopathy, a clear and comprehensive picture of the disorder's neural correlates has yet to emerge. The current study is a meta-analysis of functional MRI studies of psychopathy. Multilevel kernel density analysis was used to identify consistent findings across 25 studies (460 foci) of task-related brain activity. Psychopathy was associated with increased task-related activity predominantly in midline cortical regions overlapping with the default mode network (dorsomedial prefrontal cortex, posterior cingulate, and precuneus) as well as medial temporal lobe (including amygdala). Psychopathy was related to decreased task-related activity in a region of the dorsal anterior cingulate cortex overlapping with the salience network. These findings challenge predominant theories of amygdala hypoactivity and highlight the potential role of hyperactivity in medial default mode network regions and hypoactivity in a key node of the salience network during task performance in psychopathy.
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Affiliation(s)
- Philip Deming
- Department of Psychology, University of Wisconsin-Madison, 1202 West Johnson St., Madison, Wisconsin, 53706, USA.
- Department of Psychiatry, University of Wisconsin-Madison, 6001 Research Park Blvd., Madison, Wisconsin, 53719, USA.
| | - Michael Koenigs
- Department of Psychiatry, University of Wisconsin-Madison, 6001 Research Park Blvd., Madison, Wisconsin, 53719, USA
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31
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Psychopathy is associated with shifts in the organization of neural networks in a large incarcerated male sample. NEUROIMAGE-CLINICAL 2019; 24:102083. [PMID: 31795050 PMCID: PMC6861623 DOI: 10.1016/j.nicl.2019.102083] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Revised: 11/01/2019] [Accepted: 11/06/2019] [Indexed: 02/05/2023]
Abstract
Psychopathy is linked to disruptions in neural information processing. Graph analysis revealed that psychopathy impacts neural network organization. Psychopathy is linked to a hyper-efficiently organized dorsal attention network. Subcortical structures are less central to neural communication in psychopathy. No psychopathy differences were found in default or salience network graph metrics.
Psychopathy is a personality disorder defined by antisocial behavior paired with callousness, low empathy, and low interpersonal emotions. Psychopathic individuals reliably display complex atypicalities in emotion and attention processing that are evident when examining task performance, activation within specific neural regions, and connections between regions. Recent advances in neuroimaging methods, namely graph analysis, attempt to unpack this type of processing complexity by evaluating the overall organization of neural networks. Graph analysis has been used to better understand neural functioning in several clinical disorders but has not yet been used in the study of psychopathy. The present study applies a minimum spanning tree graph analysis to resting-state fMRI data collected from male inmates assessed for psychopathy with the Hare Psychopathy Checklist-Revised (n = 847). Minimum spanning tree analysis provides several metrics of neural organization optimality (i.e., the effectiveness, efficiency, and robustness of neural network organization). Results show that inmates higher in psychopathy exhibit a more efficiently organized dorsal attention network (β = =0.101, pcorrected = =0.018). Additionally, subcortical structures (e.g., amygdala, caudate, and hippocampus) act as less of a central hub in the global flow of information in inmates higher in psychopathy (β = =−0.104, pcorrected = =0.048). There were no significant effects of psychopathy on neural network organization in the default or salience networks. Together, these shifts in neural organization suggest that the brains of inmates higher in psychopathy are organized in a fundamentally different way than other individuals.
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32
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Espinoza FA, Anderson NE, Vergara VM, Harenski CL, Decety J, Rachakonda S, Damaraju E, Koenigs M, Kosson DS, Harenski K, Calhoun VD, Kiehl KA. Resting-state fMRI dynamic functional network connectivity and associations with psychopathy traits. NEUROIMAGE-CLINICAL 2019; 24:101970. [PMID: 31473543 PMCID: PMC6728837 DOI: 10.1016/j.nicl.2019.101970] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/14/2019] [Revised: 07/25/2019] [Accepted: 08/03/2019] [Indexed: 11/03/2022]
Abstract
Studies have used resting-state functional magnetic resonance imaging (rs-fMRI) to examine associations between psychopathy and brain connectivity in selected regions of interest as well as networks covering the whole-brain. One of the limitations of these approaches is that brain connectivity is modeled as a constant state through the scan duration. To address this limitation, we apply group independent component analysis (GICA) and dynamic functional network connectivity (dFNC) analysis to uncover whole-brain, time-varying functional network connectivity (FNC) states in a large forensic sample. We then examined relationships between psychopathic traits (PCL-R total scores, Factor 1 and Factor 2 scores) and FNC states obtained from dFNC analysis. FNC over the scan duration was better represented by five states rather than one state previously shown in static FNC analysis. Consistent with prior findings, psychopathy was associated with networks from paralimbic regions (amygdala and insula). In addition, whole-brain FNC identified 15 networks from nine functional domains (subcortical, auditory, sensorimotor, cerebellar, visual, salience, default mode network, executive control and attentional) related to psychopathy traits (Factor 1 and PCL-R scores). Results also showed that individuals with higher Factor 1 scores (affective and interpersonal traits) spend more time in a state with weaker connectivity overall, and changed states less frequently compared to those with lower Factor 1 scores. On the other hand, individuals with higher Factor 2 scores (impulsive and antisocial behaviors) showed more dynamism (changes to and from different states) than those with lower scores.
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Affiliation(s)
- Flor A Espinoza
- The Mind Research Network, Albuquerque, NM, USA; Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA.
| | | | - Victor M Vergara
- The Mind Research Network, Albuquerque, NM, USA; Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA
| | | | - Jean Decety
- Department of Psychology, University of Chicago, Chicago, IL, USA; Departments of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - Srinivas Rachakonda
- The Mind Research Network, Albuquerque, NM, USA; Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA
| | - Eswar Damaraju
- The Mind Research Network, Albuquerque, NM, USA; Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA
| | - Michael Koenigs
- Department of Psychiatry, University of Wisconsin Madison, Madison, WI, USA
| | - David S Kosson
- Department of Psychology, Rosalind Franklin University of Medicine and Science, Chicago, IL, USA
| | | | - Vince D Calhoun
- The Mind Research Network, Albuquerque, NM, USA; Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA; Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA
| | - Kent A Kiehl
- The Mind Research Network, Albuquerque, NM, USA; Department of Psychology, University of New Mexico, Albuquerque, NM, USA
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Anderson NE, Maurer JM, Nyalakanti P, Harenski KA, Harenski CL, Koenigs MR, Decety J, Kiehl KA. Affective and interpersonal psychopathic traits associated with reduced corpus callosum volume among male inmates - RETRACTED. Psychol Med 2019; 49:1401-1408. [PMID: 30311599 DOI: 10.1017/s0033291718002921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Psychopathy is a personality disorder associated with severe emotional and interpersonal consequences and persistent antisocial behavior. Neurobiological models of psychopathy emphasize impairments in emotional processing, attention, and integration of information across large-scale neural networks in the brain. One of the largest integrative hubs in the brain is the corpus callosum (CC) - a large white matter structure that connects the two cerebral hemispheres. METHOD The current study examines CC volume, measured via Freesurfer parcellation, in a large sample (n = 495) of incarcerated men who were assessed for psychopathic traits using the Hare Psychopathy Checklist-Revised (PCL-R). RESULTS Psychopathy was associated with reduced volume across all five sub-regions of the CC. These relationships were primarily driven by the affective/interpersonal elements of psychopathy (PCL-R Factor 1), as no significant associations were found between the CC and the lifestyle/antisocial traits of psychopathy. The observed effects were not attributable to differences in substance use severity, age, IQ, or total brain volume. CONCLUSIONS These findings align with suggestions that core psychopathic traits may be fostered by reduced integrative capacity across large-scale networks in the brain.
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Affiliation(s)
- Nathaniel E Anderson
- The Mind Research Network & Lovelace Biomedical and Environmental Research Institute,Albuquerque, NM,USA
| | - J Michael Maurer
- The Mind Research Network & Lovelace Biomedical and Environmental Research Institute,Albuquerque, NM,USA
| | - Prashanth Nyalakanti
- The Mind Research Network & Lovelace Biomedical and Environmental Research Institute,Albuquerque, NM,USA
| | - Keith A Harenski
- The Mind Research Network & Lovelace Biomedical and Environmental Research Institute,Albuquerque, NM,USA
| | - Carla L Harenski
- The Mind Research Network & Lovelace Biomedical and Environmental Research Institute,Albuquerque, NM,USA
| | | | | | - Kent A Kiehl
- The Mind Research Network & Lovelace Biomedical and Environmental Research Institute,Albuquerque, NM,USA
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Uribe C, Puig-Davi A, Abos A, Baggio HC, Junque C, Segura B. Neuroanatomical and Functional Correlates of Cognitive and Affective Empathy in Young Healthy Adults. Front Behav Neurosci 2019; 13:85. [PMID: 31118891 PMCID: PMC6504763 DOI: 10.3389/fnbeh.2019.00085] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Accepted: 04/11/2019] [Indexed: 12/27/2022] Open
Abstract
Neural substrates of empathy are mainly investigated through task-related functional MRI. However, the functional neural mechanisms at rest underlying the empathic response have been poorly studied. We aimed to investigate neuroanatomical and functional substrates of cognitive and affective empathy. The self-reported empathy questionnaire Cognitive and Affective Empathy Test (TECA), T1 and T2∗-weighted 3-Tesla MRI were obtained from 22 healthy young females (mean age: 19.6 ± 2.4) and 20 males (mean age: 22.5 ± 4.4). Groups of low and high empathy were established for each scale. FreeSurfer v6.0 was used to estimate cortical thickness and to automatically segment the subcortical structures. FSL v5.0.10 was used to compare resting-state connectivity differences between empathy groups in six defined regions: the orbitofrontal, cingulate, and insular cortices, and the amygdala, hippocampus, and thalamus using a non-parametric permutation approach. The high empathy group in the Perspective Taking subscale (cognitive empathy) had greater thickness in the left orbitofrontal and ventrolateral frontal cortices, bilateral anterior cingulate, superior frontal, and occipital regions. Within the affective empathy scales, subjects with high Empathic Distress had higher thalamic volumes than the low-empathy group. Regarding resting-state connectivity analyses, low-empathy individuals in the Empathic Happiness scale had increased connectivity between the orbitofrontal cortex and the anterior cingulate when compared with the high-empathy group. In conclusion, from a structural point of view, there is a clear dissociation between the brain correlates of affective and cognitive factors of empathy. Neocortical correlates were found for the cognitive empathy dimension, whereas affective empathy is related to lower volumes in subcortical structures. Functionally, affective empathy is linked to connectivity between the orbital and cingulate cortices.
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Affiliation(s)
- Carme Uribe
- Medical Psychology Unit, Department of Medicine, Institute of Neuroscience, University of Barcelona, Barcelona, Spain
| | - Arnau Puig-Davi
- Medical Psychology Unit, Department of Medicine, Institute of Neuroscience, University of Barcelona, Barcelona, Spain
| | - Alexandra Abos
- Medical Psychology Unit, Department of Medicine, Institute of Neuroscience, University of Barcelona, Barcelona, Spain
| | - Hugo C Baggio
- Medical Psychology Unit, Department of Medicine, Institute of Neuroscience, University of Barcelona, Barcelona, Spain
| | - Carme Junque
- Medical Psychology Unit, Department of Medicine, Institute of Neuroscience, University of Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas, Hospital Clínic de Barcelona, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - Barbara Segura
- Medical Psychology Unit, Department of Medicine, Institute of Neuroscience, University of Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas, Hospital Clínic de Barcelona, Barcelona, Spain
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35
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Petanjek Z, Sedmak D, Džaja D, Hladnik A, Rašin MR, Jovanov-Milosevic N. The Protracted Maturation of Associative Layer IIIC Pyramidal Neurons in the Human Prefrontal Cortex During Childhood: A Major Role in Cognitive Development and Selective Alteration in Autism. Front Psychiatry 2019; 10:122. [PMID: 30923504 PMCID: PMC6426783 DOI: 10.3389/fpsyt.2019.00122] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2018] [Accepted: 02/18/2019] [Indexed: 12/12/2022] Open
Abstract
The human specific cognitive shift starts around the age of 2 years with the onset of self-awareness, and continues with extraordinary increase in cognitive capacities during early childhood. Diffuse changes in functional connectivity in children aged 2-6 years indicate an increase in the capacity of cortical network. Interestingly, structural network complexity does not increase during this time and, thus, it is likely to be induced by selective maturation of a specific neuronal subclass. Here, we provide an overview of a subclass of cortico-cortical neurons, the associative layer IIIC pyramids of the human prefrontal cortex. Their local axonal collaterals are in control of the prefrontal cortico-cortical output, while their long projections modulate inter-areal processing. In this way, layer IIIC pyramids are the major integrative element of cortical processing, and changes in their connectivity patterns will affect global cortical functioning. Layer IIIC neurons have a unique pattern of dendritic maturation. In contrast to other classes of principal neurons, they undergo an additional phase of extensive dendritic growth during early childhood, and show characteristic molecular changes. Taken together, circuits associated with layer IIIC neurons have the most protracted period of developmental plasticity. This unique feature is advanced but also provides a window of opportunity for pathological events to disrupt normal formation of cognitive circuits involving layer IIIC neurons. In this manuscript, we discuss how disrupted dendritic and axonal maturation of layer IIIC neurons may lead into global cortical disconnectivity, affecting development of complex communication and social abilities. We also propose a model that developmentally dictated incorporation of layer IIIC neurons into maturing cortico-cortical circuits between 2 to 6 years will reveal a previous (perinatal) lesion affecting other classes of principal neurons. This "disclosure" of pre-existing functionally silent lesions of other neuronal classes induced by development of layer IIIC associative neurons, or their direct alteration, could be found in different forms of autism spectrum disorders. Understanding the gene-environment interaction in shaping cognitive microcircuitries may be fundamental for developing rehabilitation and prevention strategies in autism spectrum and other cognitive disorders.
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Affiliation(s)
- Zdravko Petanjek
- Department of Anatomy and Clinical Anatomy, School of Medicine, University of Zagreb, Zagreb, Croatia
- Department of Neuroscience, Croatian Institute for Brain Research, School of Medicine, University of Zagreb, Zagreb, Croatia
- Center of Excellence for Basic, Clinical and Translational Neuroscience, School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Dora Sedmak
- Department of Anatomy and Clinical Anatomy, School of Medicine, University of Zagreb, Zagreb, Croatia
- Department of Neuroscience, Croatian Institute for Brain Research, School of Medicine, University of Zagreb, Zagreb, Croatia
- Center of Excellence for Basic, Clinical and Translational Neuroscience, School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Domagoj Džaja
- Department of Anatomy and Clinical Anatomy, School of Medicine, University of Zagreb, Zagreb, Croatia
- Department of Neuroscience, Croatian Institute for Brain Research, School of Medicine, University of Zagreb, Zagreb, Croatia
- Center of Excellence for Basic, Clinical and Translational Neuroscience, School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Ana Hladnik
- Department of Anatomy and Clinical Anatomy, School of Medicine, University of Zagreb, Zagreb, Croatia
- Department of Neuroscience, Croatian Institute for Brain Research, School of Medicine, University of Zagreb, Zagreb, Croatia
- Center of Excellence for Basic, Clinical and Translational Neuroscience, School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Mladen Roko Rašin
- Department of Neuroscience and Cell Biology, Rutgers University, Robert Wood Johnson Medical School, Piscataway, NJ, United States
| | - Nataša Jovanov-Milosevic
- Department of Neuroscience, Croatian Institute for Brain Research, School of Medicine, University of Zagreb, Zagreb, Croatia
- Center of Excellence for Basic, Clinical and Translational Neuroscience, School of Medicine, University of Zagreb, Zagreb, Croatia
- Department of Medical Biology, School of Medicine, University of Zagreb, Zagreb, Croatia
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36
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Espinoza FA, Vergara VM, Reyes D, Anderson NE, Harenski CL, Decety J, Rachakonda S, Damaraju E, Rashid B, Miller RL, Koenigs M, Kosson DS, Harenski K, Kiehl KA, Calhoun VD. Aberrant functional network connectivity in psychopathy from a large (N = 985) forensic sample. Hum Brain Mapp 2018; 39:2624-2634. [PMID: 29498761 PMCID: PMC5951759 DOI: 10.1002/hbm.24028] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2017] [Revised: 02/07/2018] [Accepted: 02/20/2018] [Indexed: 01/31/2023] Open
Abstract
Psychopathy is a personality disorder characterized by antisocial behavior, lack of remorse and empathy, and impaired decision making. The disproportionate amount of crime committed by psychopaths has severe emotional and economic impacts on society. Here we examine the neural correlates associated with psychopathy to improve early assessment and perhaps inform treatments for this condition. Previous resting-state functional magnetic resonance imaging (fMRI) studies in psychopathy have primarily focused on regions of interest. This study examines whole-brain functional connectivity and its association to psychopathic traits. Psychopathy was hypothesized to be characterized by aberrant functional network connectivity (FNC) in several limbic/paralimbic networks. Group-independent component and regression analyses were applied to a data set of resting-state fMRI from 985 incarcerated adult males. We identified resting-state networks (RSNs), estimated FNC between RSNs, and tested their association to psychopathy factors and total summary scores (Factor 1, interpersonal/affective; Factor 2, lifestyle/antisocial). Factor 1 scores showed both increased and reduced functional connectivity between RSNs from seven brain domains (sensorimotor, cerebellar, visual, salience, default mode, executive control, and attentional). Consistent with hypotheses, RSNs from the paralimbic system-insula, anterior and posterior cingulate cortex, amygdala, orbital frontal cortex, and superior temporal gyrus-were related to Factor 1 scores. No significant FNC associations were found with Factor 2 and total PCL-R scores. In summary, results suggest that the affective and interpersonal symptoms of psychopathy (Factor 1) are associated with aberrant connectivity in multiple brain networks, including paralimbic regions.
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Affiliation(s)
| | | | - Daisy Reyes
- The Mind Research NetworkAlbuquerqueNew Mexico87106
- Department of Mathematics and StatisticsUniversity of New MexicoAlbuquerqueNew Mexico87131
| | | | | | - Jean Decety
- Departments of Psychology and Psychiatry and Behavioral NeuroscienceUniversity of ChicagoChicagoIllinois
| | | | | | | | | | - Michael Koenigs
- Department of PsychiatryUniversity of Wisconsin – MadisonMadisonWisconsin
| | - David S. Kosson
- Department of PsychologyRosalind Franklin UniversityNorth ChicagoIllinois
| | | | - Kent A. Kiehl
- The Mind Research NetworkAlbuquerqueNew Mexico87106
- Department of PsychologyUniversity of New MexicoAlbuquerqueNew Mexico87131
| | - Vince D. Calhoun
- The Mind Research NetworkAlbuquerqueNew Mexico87106
- Department of Electrical and Computer EngineeringUniversity of New MexicoAlbuquerqueNew Mexico87131
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