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Carlisi CO, Moffitt TE, Knodt AR, Harrington H, Langevin S, Ireland D, Melzer TR, Poulton R, Ramrakha S, Caspi A, Hariri AR, Viding E. Association of subcortical gray-matter volumes with life-course-persistent antisocial behavior in a population-representative longitudinal birth cohort. Dev Psychopathol 2021; 34:1-11. [PMID: 34657646 PMCID: PMC7613992 DOI: 10.1017/s0954579421000377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Neuropsychological evidence supports the developmental taxonomy theory of antisocial behavior, suggesting that abnormal brain development distinguishes life-course-persistent from adolescence-limited antisocial behavior. Recent neuroimaging work confirmed that prospectively-measured life-course-persistent antisocial behavior is associated with differences in cortical brain structure. Whether this extends to subcortical brain structures remains uninvestigated. This study compared subcortical gray-matter volumes between 672 members of the Dunedin Study previously defined as exhibiting life-course-persistent, adolescence-limited or low-level antisocial behavior based on repeated assessments at ages 7-26 years. Gray-matter volumes of 10 subcortical structures were compared across groups. The life-course-persistent group had lower volumes of amygdala, brain stem, cerebellum, hippocampus, pallidum, thalamus, and ventral diencephalon compared to the low-antisocial group. Differences between life-course-persistent and adolescence-limited individuals were comparable in effect size to differences between life-course-persistent and low-antisocial individuals, but were not statistically significant due to less statistical power. Gray-matter volumes in adolescence-limited individuals were near the norm in this population-representative cohort and similar to volumes in low-antisocial individuals. Although this study could not establish causal links between brain volume and antisocial behavior, it constitutes new biological evidence that all people with antisocial behavior are not the same, supporting a need for greater developmental and diagnostic precision in clinical, forensic, and policy-based interventions.
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Affiliation(s)
- Christina O Carlisi
- Division of Psychology and Language Sciences, University College London, London, UK
| | - Terrie E Moffitt
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- PROMENTA, Department of Psychology, University of Oslo, Oslo, Norway
| | - Annchen R Knodt
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - HonaLee Harrington
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Stephanie Langevin
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
- School of Criminology, University of Montreal, Quebec, Canada
| | - David Ireland
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Tracy R Melzer
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
- Brain Research New Zealand - Rangahau Roro Aotearo Centre of Research Excellence, Dunedin, New Zealand
| | - Richie Poulton
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Sandhya Ramrakha
- Dunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Avshalom Caspi
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- PROMENTA, Department of Psychology, University of Oslo, Oslo, Norway
| | - Ahmad R Hariri
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Essi Viding
- Division of Psychology and Language Sciences, University College London, London, UK
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2
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Roubertoux PL, Tordjman S, Caubit X, di Cristopharo J, Ghata A, Fasano L, Kerkerian-Le Goff L, Gubellini P, Carlier M. Construct Validity and Cross Validity of a Test Battery Modeling Autism Spectrum Disorder (ASD) in Mice. Behav Genet 2019; 50:26-40. [PMID: 31542842 DOI: 10.1007/s10519-019-09970-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Revised: 08/25/2019] [Accepted: 09/05/2019] [Indexed: 12/11/2022]
Abstract
Modeling in other organism species is one of the crucial stages in ascertaining the association between gene and psychiatric disorder. Testing Autism Spectrum Disorder (ASD) in mice is very popular but construct validity of the batteries is not available. We presented here the first factor analysis of a behavioral model of ASD-like in mice coupled with empirical validation. We defined fourteen measures aligning mouse-behavior measures with the criteria defined by DSM-5 for the diagnostic of ASD. Sixty-five mice belonging to a heterogeneous pool of genotypes were tested. Reliability coefficients vary from .68 to .81. The factor analysis resulted in a three- factor solution in line with DSM criteria: social behavior, stereotypy and narrowness of the field of interest. The empirical validation with mice sharing a haplo-insufficiency of the zinc-finger transcription factor TSHZ3/Tshz3 associated with ASD shows the discriminant power of the highly loaded items.
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Affiliation(s)
| | - Sylvie Tordjman
- Paris Descartes Univ, CNRS, LPP, Paris, France
- Rennes 1 Univ, PHUPEA, Rennes, France
| | | | | | | | | | | | | | - Michèle Carlier
- Aix Marseille Univ, CNRS, LPC, Marseille, France.
- Aix-Marseille Université CNRS UMR 7290 Psychologie Cognitive, Fédération de Recherche 3C - Comportement Cerveau Cognition, Case D, Bât 9 - St Charles, 3 Place Victor Hugo, 13003, Marseille, France.
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Manchia M, Comai S, Pinna M, Pinna F, Fanos V, Denovan-Wright E, Carpiniello B. Biomarkers in aggression. Adv Clin Chem 2019; 93:169-237. [PMID: 31655730 DOI: 10.1016/bs.acc.2019.07.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Aggressive behavior exerts an enormous impact on society remaining among the main causes of worldwide premature death. Effective primary interventions, relying on predictive models of aggression that show adequate sensitivity and specificity are currently lacking. One strategy to increase the accuracy and precision of prediction would be to include biological data in the predictive models. Clearly, to be included in such models, biological markers should be reliably associated with the specific trait under study (i.e., diagnostic biomarkers). Aggression, however, is phenotypically highly heterogeneous, an element that has hindered the identification of reliable biomarkers. However, current research is trying to overcome these challenges by focusing on more homogenous aggression subtypes and/or by studying large sample size of aggressive individuals. Further advance is coming by bioinformatics approaches that are allowing the integration of inter-species biological data as well as the development of predictive algorithms able to discriminate subjects on the basis of the propensity toward aggressive behavior. In this review we first present a brief summary of the available evidence on neuroimaging of aggression. We will then treat extensively the data on genetic determinants, including those from hypothesis-free genome-wide association studies (GWAS) and candidate gene studies. Transcriptomic and neurochemical biomarkers will then be reviewed, and we will dedicate a section on the role of metabolomics in aggression. Finally, we will discuss how biomarkers can inform the development of new pharmacological tools as well as increase the efficacy of preventive strategies.
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Affiliation(s)
- Mirko Manchia
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy; Department of Pharmacology, Dalhousie University, Halifax, NS, Canada.
| | - Stefano Comai
- San Raffaele Scientific Institute and Vita Salute University, Milano, Italy; Department of Psychiatry, McGill University, Montreal, QC, Canada.
| | - Martina Pinna
- Forensic Psychiatry Unit, Sardinia Health Agency, Cagliari, Italy
| | - Federica Pinna
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Vassilios Fanos
- Department of Surgical Sciences, University of Cagliari, Cagliari, Italy; Puericulture Institute and Neonatal Section, University Hospital Agency of Cagliari, Cagliari, Italy
| | | | - Bernardo Carpiniello
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
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Romero-Martínez Á, González M, Lila M, Gracia E, Martí-Bonmatí L, Alberich-Bayarri Á, Maldonado-Puig R, Ten-Esteve A, Moya-Albiol L. The Brain Resting-State Functional Connectivity Underlying Violence Proneness: Is It a Reliable Marker for Neurocriminology? A Systematic Review. Behav Sci (Basel) 2019; 9:bs9010011. [PMID: 30650635 PMCID: PMC6359496 DOI: 10.3390/bs9010011] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2018] [Revised: 12/22/2018] [Accepted: 01/10/2019] [Indexed: 12/26/2022] Open
Abstract
Introduction: There is growing scientific interest in understanding the biological mechanisms affecting and/or underlying violent behaviors in order to develop effective treatment and prevention programs. In recent years, neuroscientific research has tried to demonstrate whether the intrinsic activity within the brain at rest in the absence of any external stimulation (resting-state functional connectivity; RSFC) could be employed as a reliable marker for several cognitive abilities and personality traits that are important in behavior regulation, particularly, proneness to violence. Aims: This review aims to highlight the association between the RSFC among specific brain structures and the predisposition to experiencing anger and/or responding to stressful and distressing situations with anger in several populations. Methods: The scientific literature was reviewed following the PRISMA quality criteria for reviews, using the following digital databases: PubMed, PsycINFO, Psicodoc, and Dialnet. Results: The identification of 181 abstracts and retrieval of 34 full texts led to the inclusion of 17 papers. The results described in our study offer a better understanding of the brain networks that might explain the tendency to experience anger. The majority of the studies highlighted that diminished RSFC between the prefrontal cortex and the amygdala might make people prone to reactive violence, but that it is also necessary to contemplate additional cortical (i.e., insula, gyrus [angular, supramarginal, temporal, fusiform, superior, and middle frontal], anterior and posterior cingulated cortex) and subcortical brain structures (i.e., hippocampus, cerebellum, ventral striatum, and nucleus centralis superior) in order to explain a phenomenon as complex as violence. Moreover, we also described the neural pathways that might underlie proactive violence and feelings of revenge, highlighting the RSFC between the OFC, ventral striatal, angular gyrus, mid-occipital cortex, and cerebellum. Conclusions. The results from this synthesis and critical analysis of RSFC findings in several populations offer guidelines for future research and for developing a more accurate model of proneness to violence, in order to create effective treatment and prevention programs.
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Affiliation(s)
- Ángel Romero-Martínez
- Psychobiology Department, University of València, 46010 València, Spain; (M.G.); (L.M.-A.)
- Correspondence: ; Tel.: +3-496-386-4302; Fax: +3-496-386-4668
| | - Macarena González
- Psychobiology Department, University of València, 46010 València, Spain; (M.G.); (L.M.-A.)
| | - Marisol Lila
- Department of Social Psychology, University of Valencia, 46010 València, Spain; (M.L.); (E.G.)
| | - Enrique Gracia
- Department of Social Psychology, University of Valencia, 46010 València, Spain; (M.L.); (E.G.)
| | - Luis Martí-Bonmatí
- Biomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, 46026 Valencia, Spain; (L.M.-B.); (A.A.-B.); (R.M.-P.); (A.T.-E.)
| | - Ángel Alberich-Bayarri
- Biomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, 46026 Valencia, Spain; (L.M.-B.); (A.A.-B.); (R.M.-P.); (A.T.-E.)
| | - Rebeca Maldonado-Puig
- Biomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, 46026 Valencia, Spain; (L.M.-B.); (A.A.-B.); (R.M.-P.); (A.T.-E.)
| | - Amadeo Ten-Esteve
- Biomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, 46026 Valencia, Spain; (L.M.-B.); (A.A.-B.); (R.M.-P.); (A.T.-E.)
| | - Luis Moya-Albiol
- Psychobiology Department, University of València, 46010 València, Spain; (M.G.); (L.M.-A.)
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Dadalko OI, Travers BG. Evidence for Brainstem Contributions to Autism Spectrum Disorders. Front Integr Neurosci 2018; 12:47. [PMID: 30337860 PMCID: PMC6180283 DOI: 10.3389/fnint.2018.00047] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Accepted: 09/18/2018] [Indexed: 12/27/2022] Open
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental condition that affects one in 59 children in the United States. Although there is a mounting body of knowledge of cortical and cerebellar contributions to ASD, our knowledge about the early developing brainstem in ASD is only beginning to accumulate. Understanding how brainstem neurotransmission is implicated in ASD is important because many of this condition’s sensory and motor symptoms are consistent with brainstem pathology. Therefore, the purpose of this review was to integrate epidemiological, behavioral, histological, neuroimaging, and animal evidence of brainstem contributions to ASD. Because ASD is a neurodevelopmental condition, we examined the available data through a lens of hierarchical brain development. The review of the literature suggests that developmental alterations of the brainstem could have potential cascading effects on cortical and cerebellar formation, ultimately leading to ASD symptoms. This view is supported by human epidemiology findings and data from animal models of ASD, showing that perturbed development of the brainstem substructures, particularly during the peak formation of the brainstem’s monoaminergic centers, may relate to ASD or ASD-like behaviors. Furthermore, we review evidence from human histology, psychophysiology, and neuroimaging suggesting that brainstem development and maturation may be atypical in ASD and may be related to key ASD symptoms, such as atypical sensorimotor features and social responsiveness. From this review there emerges the need of future research to validate early detection of the brainstem-based somatosensory and psychophysiological behaviors that emerge in infancy, and to examine the brainstem across the life span, while accounting for age. In all, there is preliminary evidence for brainstem involvement in ASD, but a better understanding of the brainstem’s role would likely pave the way for earlier diagnosis and treatment of ASD.
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Affiliation(s)
- Olga I Dadalko
- Motor and Brain Development Lab, Waisman Center, University of Wisconsin-Madison, Madison, WI, United States
| | - Brittany G Travers
- Motor and Brain Development Lab, Occupational Therapy Program in the Department of Kinesiology, University of Wisconsin-Madison, Madison, WI, United States
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Bosco P, Giuliano A, Delafield-Butt J, Muratori F, Calderoni S, Retico A. Brainstem enlargement in preschool children with autism: Results from an intermethod agreement study of segmentation algorithms. Hum Brain Mapp 2018; 40:7-19. [PMID: 30184295 DOI: 10.1002/hbm.24351] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Revised: 08/01/2018] [Accepted: 08/01/2018] [Indexed: 12/25/2022] Open
Abstract
The intermethod agreement between automated algorithms for brainstem segmentation is investigated, focusing on the potential involvement of this structure in Autism Spectrum Disorders (ASD). Inconsistencies highlighted in previous studies on brainstem in the population with ASD may in part be a result of poor agreement in the extraction of structural features between different methods. A sample of 76 children with ASD and 76 age-, gender-, and intelligence-matched controls was considered. Volumetric analyses were performed using common tools for brain structures segmentation, namely FSL-FIRST, FreeSurfer (FS), and Advanced Normalization Tools (ANTs). For shape analysis SPHARM-MAT was employed. Intermethod agreement was quantified in terms of Pearson correlations between pairs of volumes obtained by the different methods. The degree of overlap between segmented masks was quantified in terms of the Dice index. Both Pearson correlations and Dice indices, showed poor agreement between FSL-FIRST and the other methods (ANTs and FS), which by contrast, yielded Pearson correlations greater than 0.93 and average Dice indices greater than 0.76 when compared with each other. As with volume, shape analyses exhibited discrepancies between segmentation methods, with particular differences noted between FSL-FIRST and the others (ANT and FS), with under- and over-segmentation in specific brainstem regions. These data suggest that research on brain structure alterations should cross-validate findings across multiple methods. We consistently detected an enlargement of brainstem volume in the whole sample and in the male cohort across multiple segmentation methods, a feature particularly driven by the subgroup of children with idiopathic intellectual disability associated with ASD.
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Affiliation(s)
- Paolo Bosco
- Pisa Division, INFN - National Institute for Nuclear Physics, Pisa, Italy
| | - Alessia Giuliano
- Pisa Division, INFN - National Institute for Nuclear Physics, Pisa, Italy
| | - Jonathan Delafield-Butt
- Faculty of Humanities and Social Science, University of Strathclyde, Glasgow, United Kingdom
| | - Filippo Muratori
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.,IRCCS Stella Maris Foundation, Pisa, Italy
| | - Sara Calderoni
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.,IRCCS Stella Maris Foundation, Pisa, Italy
| | - Alessandra Retico
- Pisa Division, INFN - National Institute for Nuclear Physics, Pisa, Italy
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7
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A systematic review of structural MRI biomarkers in autism spectrum disorder: A machine learning perspective. Int J Dev Neurosci 2018; 71:68-82. [DOI: 10.1016/j.ijdevneu.2018.08.010] [Citation(s) in RCA: 69] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2018] [Revised: 08/28/2018] [Accepted: 08/28/2018] [Indexed: 11/19/2022] Open
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