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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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Tervo-Clemmens B, Quach A, Calabro FJ, Foran W, Luna B. Meta-analysis and review of functional neuroimaging differences underlying adolescent vulnerability to substance use. Neuroimage 2020; 209:116476. [PMID: 31875520 PMCID: PMC7992390 DOI: 10.1016/j.neuroimage.2019.116476] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Revised: 11/25/2019] [Accepted: 12/18/2019] [Indexed: 11/22/2022] Open
Abstract
Adolescence is increasingly viewed as a sensitive period in the development of substance use disorders (SUDs). Neurodevelopmental 'dual-risk' theories suggest adolescent vulnerability to problematic substance use is driven by an overactive reward drive mediated by the striatum, and poor cognitive control mediated by the prefrontal cortex. To this end, there has been a growing number of neuroimaging studies examining cognitive and affective neural systems during adolescence for markers of vulnerability to problematic substance use. Here, we perform a coordinate-based meta-analysis on this emerging literature. Twenty-two task-based voxelwise fMRI studies with activation differences associated with substance use vulnerability, representative of approximately 1092 subjects, were identified through a systematic literature search (PubMed, Scopus) and coordinates of activation differences (N = 190) were extracted. Adolescents were defined as 'at-risk' for problematic substance use based on a family history of SUD or through prospective prediction of substance use initiation or escalation. Multilevel kernel density analysis was used to identify the most consistent brain regions associated with adolescent substance use vulnerability. Across the included studies, substance use vulnerability was most reliably associated with activation differences in the striatum, where at-risk adolescents had hyper-activation in the dorsal subdivision (putamen). Follow-up analyses suggested striatal differences were driven by tasks sharing a motivational and/or reward component (e.g., monetary incentive) and common across subgroups of substance use risk (family history and prospective prediction studies). Analyses examining the role of psychiatric comorbidity revealed striatal activation differences were significantly more common in samples whose definition of substance use risk included cooccurring externalizing psychopathology. Furthermore, substance use risk meta-analytic results were no longer significant when excluding these studies, although this may reflect limitations in statistical power. No significant activation differences were observed in prefrontal cortex in any analysis. These results suggest striatal dysfunction, rather than prefrontal, may be a more primary neural feature of adolescent vulnerability to problematic substance use, possibly through a dimension of individual variability shared with externalizing psychopathology. However, our systematic literature search confirms this is still an emerging field. More studies, increased data sharing, and further quantitative integration are necessary for a comprehensive understanding of the neuroimaging markers of adolescent substance use risk.
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Affiliation(s)
- Brenden Tervo-Clemmens
- Department of Psychology, University of Pittsburgh, United States; Center for Neural Basis of Cognition, University of Pittsburgh, United States.
| | - Alina Quach
- Department of Psychology, University of Pittsburgh, United States
| | - Finnegan J Calabro
- Center for Neural Basis of Cognition, University of Pittsburgh, United States; Department of Psychiatry, University of Pittsburgh, United States; Bioengineering, University of Pittsburgh, United States
| | - William Foran
- Department of Psychiatry, University of Pittsburgh, United States
| | - Beatriz Luna
- Department of Psychology, University of Pittsburgh, United States; Center for Neural Basis of Cognition, University of Pittsburgh, United States; Department of Psychiatry, University of Pittsburgh, United States
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Brislin SJ, Hardee JE, Martz ME, Cope LM, Weigard A, Zucker RA, Heitzeg MM. Alcohol expectancies mediate the association between the neural response to emotional words and alcohol consumption. Drug Alcohol Depend 2020; 209:107882. [PMID: 32058243 PMCID: PMC7357240 DOI: 10.1016/j.drugalcdep.2020.107882] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Revised: 01/16/2020] [Accepted: 01/21/2020] [Indexed: 12/16/2022]
Abstract
BACKGROUND Both positive expectancies regarding the effects of alcohol and internalizing problems, including negative emotionality and deficits in emotion regulation, are known risk factors for alcohol use disorder (AUD). The current study is the first to investigate how neural response to emotional stimuli may impact alcohol expectancies and risk for AUD. METHODS Functional neuroimaging data was collected during an emotional word task from 168 emerging adults (M age = 19.65; 66% male). Activation to negative versus neutral words and positive versus neutral words was extracted for analyses. Participants also reported on their alcohol expectancies and information regarding alcohol use and problems was collected prospectively throughout adolescence and into adulthood (up to age 30). RESULTS Decreased activation in the inferior frontal gyrus (IFG) to negative versus neutral words was associated with increased post-scan alcohol consumption, measured as average drinks per year. There was a significant indirect effect of positive alcohol expectancies on the association between IFG activation and post-scan alcohol consumption, even when controlling for quantity of alcohol consumption prior to the scan. CONCLUSIONS These results are the first to provide evidence that positive alcohol expectancies account for variance shared between brain regions associated with emotion processing and increased drinking behaviors. Alcohol expectancies may provide a modifiable target for treatments to decrease the link between deficits in emotion regulation and increased alcohol use.
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Affiliation(s)
- Sarah J. Brislin
- University of Michigan, Department of Psychiatry and Addiction Center, 4250 Plymouth Road, Ann Arbor, MI 48109, USA
| | - Jillian E. Hardee
- University of Michigan, Department of Psychiatry and Addiction Center, 4250 Plymouth Road, Ann Arbor, MI 48109, USA
| | - Meghan E. Martz
- University of Michigan, Department of Psychiatry and Addiction Center, 4250 Plymouth Road, Ann Arbor, MI 48109, USA
| | - Lora M. Cope
- University of Michigan, Department of Psychiatry and Addiction Center, 4250 Plymouth Road, Ann Arbor, MI 48109, USA
| | - Alexander Weigard
- University of Michigan, Department of Psychiatry and Addiction Center, 4250 Plymouth Road, Ann Arbor, MI 48109, USA
| | - Robert A. Zucker
- University of Michigan, Department of Psychiatry and Addiction Center, 4250 Plymouth Road, Ann Arbor, MI 48109, USA
| | - Mary M. Heitzeg
- University of Michigan, Department of Psychiatry and Addiction Center, 4250 Plymouth Road, Ann Arbor, MI 48109, USA,Corresponding Author: Mary M. Heitzeg, Ph.D., University of Michigan, Department of Psychiatry and Addiction Center, 4250 Plymouth Road Ann Arbor, MI 48109, USA
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4
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Courtney KE, Li I, Tapert SF. The effect of alcohol use on neuroimaging correlates of cognitive and emotional processing in human adolescence. Neuropsychology 2019; 33:781-794. [PMID: 31448946 DOI: 10.1037/neu0000555] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
OBJECTIVE This article provides an overview of the scientific literature pertaining to the effects of alcohol on neural correlates of cognitive and emotional functioning, including reward processing and cue-reactivity, in adolescence and young adulthood. METHOD Peer-reviewed, original research articles that included a neuroimaging assessment of alcohol effects on subsequent cognitive or emotional processing in adolescent or young adult samples were searched (through November 2018) and summarized in the review. RESULTS Cross-sectional studies provided early evidence of alcohol-related differences in neural processing across a number of cognitive domains. Longitudinal studies have identified neural abnormalities that predate drinking within most domains of cognitive functioning, while a few neural alterations have been observed within the domains of visual working memory, inhibitory control, reward processing, and cue-reactivity that appear to be related to the neurotoxic effect of alcohol use during adolescence. In contrast, neural correlates of emotion functioning appear to be relatively stable to the effects of alcohol. CONCLUSIONS Larger prospective studies are greatly needed to disentangle premorbid factors from neural consequences associated with drinking, and to detect subsets of youth who may be particularly vulnerable to alcohol's effects on cognitive and emotional functioning. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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5
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Leiker EK, Meffert H, Thornton LC, Taylor BK, Aloi J, Abdel-Rahim H, Shah N, Tyler PM, White SF, Blair KS, Filbey F, Pope K, Dobbertin M, Blair RJR. Alcohol use disorder and cannabis use disorder symptomatology in adolescents are differentially related to dysfunction in brain regions supporting face processing. Psychiatry Res Neuroimaging 2019; 292:62-71. [PMID: 31541926 PMCID: PMC6992382 DOI: 10.1016/j.pscychresns.2019.09.004] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2019] [Revised: 09/09/2019] [Accepted: 09/12/2019] [Indexed: 01/20/2023]
Abstract
Despite extensive behavioral evidence of impairments in face processing and expression recognition in adults with alcohol or cannabis use disorders (AUD/CUD), neuroimaging findings have been inconsistent. Moreover, relatively little work has examined the relationship of AUD or CUD symptoms with face or expression processing within adolescents. Given the high prevalence of alcohol and cannabis use during adolescence, understanding how these usage behaviors interact with neural mechanisms supporting face and expression processing could have important implications for youth social and emotional functioning. In this study, adolescents (N = 104) responded to morphed fearful and happy expressions during fMRI and their level of AUD and/or CUD symptoms were related to the BOLD response data. We found that AUD and CUD symptom severity were both negatively related to responses to faces generally. However, whereas this relationship was shown for AUD within ventromedial prefrontal cortex and lingual gyrus, it was shown for CUD within rostromedial prefrontal cortex including anterior cingulate cortex. Additionally, AUD symptom levels were associated with differential responses within medial temporal pole and inferior parietal lobule as a function of expression. These results have potential implications for understanding the social and emotional functioning of adolescents with AUD and CUD symptoms.
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Affiliation(s)
- Emily K Leiker
- Department of Psychiatry, Dell Medical School, University of Texas at Austin, Austin, TX, USA
| | - Harma Meffert
- Center for Neurobehavioral Research, Boys Town National Research Hospital, 14100 Crawford St, Boys Town, NE 68010, USA
| | - Laura C Thornton
- Center for Neurobehavioral Research, Boys Town National Research Hospital, 14100 Crawford St, Boys Town, NE 68010, USA
| | - Brittany K Taylor
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA
| | - Joseph Aloi
- Center for Neurobehavioral Research, Boys Town National Research Hospital, 14100 Crawford St, Boys Town, NE 68010, USA; Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE, USA
| | - Heba Abdel-Rahim
- Center for Neurobehavioral Research, Boys Town National Research Hospital, 14100 Crawford St, Boys Town, NE 68010, USA
| | - Niraj Shah
- Center for Neurobehavioral Research, Boys Town National Research Hospital, 14100 Crawford St, Boys Town, NE 68010, USA
| | - Patrick M Tyler
- Center for Neurobehavioral Research, Boys Town National Research Hospital, 14100 Crawford St, Boys Town, NE 68010, USA
| | - Stuart F White
- Center for Neurobehavioral Research, Boys Town National Research Hospital, 14100 Crawford St, Boys Town, NE 68010, USA
| | - Karina S Blair
- Center for Neurobehavioral Research, Boys Town National Research Hospital, 14100 Crawford St, Boys Town, NE 68010, USA
| | - Francesca Filbey
- Center for BrainHealth, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA
| | - Kayla Pope
- Center for Neurobehavioral Research, Boys Town National Research Hospital, 14100 Crawford St, Boys Town, NE 68010, USA; Department of Psychiatry, University of Nebraska Medical Center, Omaha, NE, USA; Department of Psychiatry, Creighton University, Omaha, NE, USA
| | - Matthew Dobbertin
- Center for Neurobehavioral Research, Boys Town National Research Hospital, 14100 Crawford St, Boys Town, NE 68010, USA
| | - R James R Blair
- Center for Neurobehavioral Research, Boys Town National Research Hospital, 14100 Crawford St, Boys Town, NE 68010, USA.
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Hill SY, Sharma VK. DRD2 methylation and regional grey matter volumes in young adult offspring from families at ultra-high risk for alcohol dependence. Psychiatry Res Neuroimaging 2019; 286:31-38. [PMID: 30877890 PMCID: PMC6453708 DOI: 10.1016/j.pscychresns.2019.03.006] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2018] [Revised: 03/07/2019] [Accepted: 03/07/2019] [Indexed: 12/20/2022]
Abstract
Dopaminergic alteration is a prominent feature in those with AD and may influence brain development in those with a family history of AD. MRI scans (3T) from 43 HR offspring (27.4 ± 3.6 years) and 45 controls (24.5 ± 4.1 years) provided whole brain (WB) and region of interest (ROI) analyses. The VBM8 toolbox was used for WB analysis (threshold p < 0.005; cluster = 100 voxels); the MarsBaR ROI toolbox provided region of interest data. Pyrosequencing of CpG sites within the DRD2 gene was performed. DRD2 methylation was significantly increased in association with familial high-risk status. Significant familial risk group differences were seen with HR individuals showing reduced volume of the Left Inferior Temporal, Left Fusiform and Left Insula regions relative to LR controls. These regions have previously been linked to social cognition. DRD2 methylation was negatively related to grey matter volumes in these regions. Because these regions, have been previously linked to facial affect perception and social cognition, lesser grey matter volumes in individuals at high-risk for developing AD suggests that neural underpinnings of social cognitive impairment may be a premorbid risk factors for AD.
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Affiliation(s)
- Shirley Y Hill
- Department of Psychiatry, University of Pittsburgh, 3811 O' Hara Street, Pittsburgh 15213, PA, USA; Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA; Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
| | - Vinod K Sharma
- Department of Psychiatry, University of Pittsburgh, 3811 O' Hara Street, Pittsburgh 15213, PA, USA
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7
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Hardee JE, Cope LM, Martz ME, Heitzeg MM. Review of Neurobiological Influences on Externalizing and Internalizing Pathways to Alcohol Use Disorder. Curr Behav Neurosci Rep 2018; 5:249-262. [PMID: 31768306 DOI: 10.1007/s40473-018-0166-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Purpose of review Two developmental courses through which alcohol use disorder (AUD) may emerge include externalizing and internalizing pathways. We review recent neuroimaging studies of potential neural risk factors for AUD and link findings to potential behavioral risk factors for AUD. Recent findings There is evidence that early-emerging weakness in prefrontal functioning and later-emerging differences in reward-system functioning contribute to an externalizing risk pathway. Stress may be an important contributor in the internalizing pathway through a blunting of reward-related activation, which may act alone or in combination with heightened emotion-related reactivity. Summary This review highlights areas for future work, including investigation of the relative balance between prefrontal and subcortical circuitry, attention to stages of AUD, and consideration of environmental factors such as stress and sleep. Particularly important is longitudinal work to understand the temporal ordering of associations among brain maturation, behavioral risk, and alcohol use.
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Affiliation(s)
- Jillian E Hardee
- University of Michigan, Department of Psychiatry and Addiction Center, 4250 Plymouth Road, Ann Arbor, MI
| | - Lora M Cope
- University of Michigan, Department of Psychiatry and Addiction Center, 4250 Plymouth Road, Ann Arbor, MI
| | - Meghan E Martz
- University of Michigan, Department of Psychiatry and Addiction Center, 4250 Plymouth Road, Ann Arbor, MI
| | - Mary M Heitzeg
- University of Michigan, Department of Psychiatry and Addiction Center, 4250 Plymouth Road, Ann Arbor, MI
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8
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Spear LP. Effects of adolescent alcohol consumption on the brain and behaviour. Nat Rev Neurosci 2018; 19:197-214. [PMID: 29467469 DOI: 10.1038/nrn.2018.10] [Citation(s) in RCA: 307] [Impact Index Per Article: 43.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Per occasion, alcohol consumption is higher in adolescents than in adults in both humans and laboratory animals, with changes in the adolescent brain probably contributing to this elevated drinking. This Review examines the contributors to and consequences of the use of alcohol in adolescents. Human adolescents with a history of alcohol use differ neurally and cognitively from other adolescents; some of these differences predate the commencement of alcohol consumption and serve as potential risk factors for later alcohol use, whereas others emerge from its use. The consequences of alcohol use in human adolescents include alterations in attention, verbal learning, visuospatial processing and memory, along with altered development of grey and white matter volumes and disrupted white matter integrity. The functional consequences of adolescent alcohol use emerging from studies of rodent models of adolescence include decreased cognitive flexibility, behavioural inefficiencies and elevations in anxiety, disinhibition, impulsivity and risk-taking. Rodent studies have also showed that adolescent alcohol use can impair neurogenesis, induce neuroinflammation and epigenetic alterations, and lead to the persistence of adolescent-like neurobehavioural phenotypes into adulthood. Although only a limited number of studies have examined comparable measures in humans and laboratory animals, the available data provide evidence for notable across-species similarities in the neural consequences of adolescent alcohol exposure, providing support for further translational efforts in this context.
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Affiliation(s)
- Linda P Spear
- Developmental Exposure Alcohol Research Center (DEARC) and Behavioural Neuroscience Program, Department of Psychology, Binghamton University, Binghamton, NY, USA
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9
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Squeglia LM, Cservenka A. Adolescence and Drug Use Vulnerability: Findings from Neuroimaging. Curr Opin Behav Sci 2017; 13:164-170. [PMID: 28111629 DOI: 10.1016/j.cobeha.2016.12.005] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Adolescence is a period of vulnerability for developing substance use disorder. Recent neuropsychological and neuroimaging studies have elucidated underlying neural vulnerabilities that contribute to initiation of substance use during adolescence. Findings suggest poorer performance on tasks of inhibition and working memory, smaller brain volumes in reward and cognitive control regions, less brain activation during executive functioning tasks, and heightened reward responsivity are predictive of youth initiating substance use during adolescence. In youth who are family history positive (FHP) for substance use disorder, poorer executive functioning, smaller volume of limbic brain regions (e.g., amygdala), sex-specific patterns of hippocampal volume, and a positive association between nucleus accumbens volume and family history density have been reported. Further, reduced white matter integrity, altered brain response during inhibitory control, including both greater and less frontal lobe response, blunted emotional processing, and weaker neural connectivity have also been found in FHP youth. Thus, there is significant overlap among the neural precursors shown to be predictive of alcohol and substance use initiation during adolescence and those that distinguish FHP from youth without a family history of substance use disorder, suggesting common targets for prevention and intervention. Understanding these predictive factors helps identify at-risk youth for prevention efforts, as well as create interventions targeting cognitive weaknesses or brain regions involved in substance use initiation.
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Affiliation(s)
- Lindsay M Squeglia
- Department of Psychiatry and Behavioral Sciences, Addiction Sciences Division, Medical University of South Carolina, 67 President Street, MSC 861, Charleston, SC, 29425, USA
| | - Anita Cservenka
- School of Psychological Science, Oregon State University, 2950 SW Jefferson Way, Corvallis, OR, 97331, USA
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Neurobiological phenotypes associated with a family history of alcoholism. Drug Alcohol Depend 2016; 158:8-21. [PMID: 26559000 PMCID: PMC4698007 DOI: 10.1016/j.drugalcdep.2015.10.021] [Citation(s) in RCA: 83] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2015] [Revised: 10/06/2015] [Accepted: 10/11/2015] [Indexed: 11/23/2022]
Abstract
BACKGROUND Individuals with a family history of alcoholism are at much greater risk for developing an alcohol use disorder (AUD) than youth or adults without such history. A large body of research suggests that there are premorbid differences in brain structure and function in family history positive (FHP) individuals relative to their family history negative (FHN) peers. METHODS This review summarizes the existing literature on neurobiological phenotypes present in FHP youth and adults by describing findings across neurophysiological and neuroimaging studies. RESULTS Neuroimaging studies have shown FHP individuals differ from their FHN peers in amygdalar, hippocampal, basal ganglia, and cerebellar volume. Both increased and decreased white matter integrity has been reported in FHP individuals compared with FHN controls. Functional magnetic resonance imaging studies have found altered inhibitory control and working memory-related brain response in FHP youth and adults, suggesting neural markers of executive functioning may be related to increased vulnerability for developing AUDs in this population. Additionally, brain activity differences in regions involved in bottom-up reward and emotional processing, such as the nucleus accumbens and amygdala, have been shown in FHP individuals relative to their FHN peers. CONCLUSIONS It is critical to understand premorbid neural characteristics that could be associated with cognitive, reward-related, or emotional risk factors that increase risk for AUDs in FHP individuals. This information may lead to the development of neurobiologically informed prevention and intervention studies focused on reducing the incidence of AUDs in high-risk youth and adults.
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Hill SY, O'Brien J. Psychological and Neurobiological Precursors of Alcohol Use Disorders in High Risk Youth. CURRENT ADDICTION REPORTS 2015; 2:104-113. [PMID: 26301172 DOI: 10.1007/s40429-015-0051-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
It has long been known that Alcohol Use Disorders (AUDs) run in families with substantial heritability. Determining the specific genetic underpinnings of these disorders has been challenging because of the clinical heterogeneity and variable expression across the lifespan. The search for endophenotypic biological variation associated with the AUD and related substance use disorder (SUD) phenotypes is based on the belief that an endophenotype is more proximal to the causative gene. Identification of genes conferring increased susceptibility has important implications for treatment through the potential development of medications that target specific genetic pathways. High risk family designs that contrast offspring with and without a familial/genetic background have provided valuable insights into the psychological characteristics (executive control, affective regulation, decision making and social cognition) that differentiate such individuals. The current chapter will review these with a focus on brain morphology of specific regions, the coordinated activity of neural networks, and developmental trajectories of electrophysiological activity.
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Affiliation(s)
- Shirley Y Hill
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213 ; Department of Psychology, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15260 ; Department of Human Genetics, Graduate School of Public Health, Pittsburgh, PA 15261
| | - Jessica O'Brien
- Department of Psychology, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15260
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