101
|
Germann J, Gouveia FV, Brentani H, Bedford SA, Tullo S, Chakravarty MM, Devenyi GA. Involvement of the habenula in the pathophysiology of autism spectrum disorder. Sci Rep 2021; 11:21168. [PMID: 34707133 PMCID: PMC8551275 DOI: 10.1038/s41598-021-00603-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Accepted: 10/13/2021] [Indexed: 11/09/2022] Open
Abstract
The habenula is a small epithalamic structure with widespread connections to multiple cortical, subcortical and brainstem regions. It has been identified as the central structure modulating the reward value of social interactions, behavioral adaptation, sensory integration and circadian rhythm. Autism spectrum disorder (ASD) is characterized by social communication deficits, restricted interests, repetitive behaviors, and is frequently associated with altered sensory perception and mood and sleep disorders. The habenula is implicated in all these behaviors and results of preclinical studies suggest a possible involvement of the habenula in the pathophysiology of this disorder. Using anatomical magnetic resonance imaging and automated segmentation we show that the habenula is significantly enlarged in ASD subjects compared to controls across the entire age range studied (6-30 years). No differences were observed between sexes. Furthermore, support-vector machine modeling classified ASD with 85% accuracy (model using habenula volume, age and sex) and 64% accuracy in cross validation. The Social Responsiveness Scale (SRS) significantly differed between groups, however, it was not related to individual habenula volume. The present study is the first to provide evidence in human subjects of an involvement of the habenula in the pathophysiology of ASD.
Collapse
Affiliation(s)
- Jürgen Germann
- grid.231844.80000 0004 0474 0428University Health Network, 399 Bathurst Street, Toronto, ON Canada ,grid.14709.3b0000 0004 1936 8649Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, QC Canada
| | - Flavia Venetucci Gouveia
- grid.42327.300000 0004 0473 9646Neuroscience and Mental Health, Hospital for Sick Children Research Institute, Toronto, ON Canada
| | - Helena Brentani
- grid.11899.380000 0004 1937 0722Department of Psychiatry, University of Sao Paulo, Medical School, São Paulo, São Paulo Brazil ,grid.500696.cNational Institute of Developmental Psychiatry for Children and Adolescents, CNPq, São Paulo, São Paulo Brazil
| | - Saashi A. Bedford
- grid.14709.3b0000 0004 1936 8649Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, QC Canada ,grid.5335.00000000121885934Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Stephanie Tullo
- grid.14709.3b0000 0004 1936 8649Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, QC Canada ,grid.14709.3b0000 0004 1936 8649Integrated Program in Neuroscience, McGill University, Montreal, QC Canada
| | - M. Mallar Chakravarty
- grid.14709.3b0000 0004 1936 8649Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, QC Canada ,grid.14709.3b0000 0004 1936 8649Department of Biomedical Engineering, McGill University, Montreal, QC Canada ,grid.14709.3b0000 0004 1936 8649Department of Psychiatry, McGill University, Montreal, QC Canada
| | - Gabriel A. Devenyi
- grid.14709.3b0000 0004 1936 8649Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, QC Canada ,grid.14709.3b0000 0004 1936 8649Department of Psychiatry, McGill University, Montreal, QC Canada
| |
Collapse
|
102
|
Segura IA, Pompéia S. Feasibility of Remote Performance Assessment Using the Free Research Executive Evaluation Test Battery in Adolescents. Front Psychol 2021; 12:723063. [PMID: 34721181 PMCID: PMC8551358 DOI: 10.3389/fpsyg.2021.723063] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 09/20/2021] [Indexed: 01/17/2023] Open
Abstract
Lockdowns and other preventive measures taken to curb the spread of diseases such as COVID-19 have restricted the use of face-to-face cognitive assessment. Remote testing may be an alternative, but it should first be shown to be comparable to in-person assessment before being used more widely, during and after the pandemic. Our aim was to evaluate the suitability of online, examiner-mediated administration of an open-access battery of executive function tests (the Free Research Executive Evaluation battery, or FREE) that can be adapted considering various characteristics of diverse populations and therefore used worldwide. A total of 96 9-15-year olds (42 girls) were tested, half of whom online through video calls mediated by an examiner. Their performance was compared to that of the other 48 individuals tested face-to-face, who were matched against the online-tested participants for age, pubertal status, sex, and parental schooling. The battery consists of two tests of the following executive domains: Updating (2-Back and Number Memory tests), Inhibition (Stroop Victoria and Stroop Happy-Sad), and Switching (Color Shape and Category Switch). Answers were vocal and self-paced, and the examiner recorded accuracy and time taken to complete in-person and online tasks. Only free software is needed for the assessment. Executive measures obtained from the tasks did not differ statistically between online and in-person tested participants and effects sizes of group effects were small, thus showing that the FREE test battery holds promise for online cognitive assessment, pending confirmation in different samples and further validation studies.
Collapse
|
103
|
Chaku N, Hoyt LT, Barry K. Executive functioning profiles in adolescence: Using person-centered approaches to understand heterogeneity. COGNITIVE DEVELOPMENT 2021. [DOI: 10.1016/j.cogdev.2021.101119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
|
104
|
Brumback T, Thompson W, Cummins K, Brown S, Tapert S. Psychosocial predictors of substance use in adolescents and young adults: Longitudinal risk and protective factors. Addict Behav 2021; 121:106985. [PMID: 34087768 PMCID: PMC8240028 DOI: 10.1016/j.addbeh.2021.106985] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 04/01/2021] [Accepted: 05/08/2021] [Indexed: 11/26/2022]
Abstract
Many psychosocial factors have been implicated in the onset and escalation of substance use in adolescence and young adulthood. Typically, each factor explains a small amount of the variance in substance use outcomes, and effects are typically applied across a broad range of ages or computed from cross-sectional data. The current study evaluated the association of factors including social influence (e.g., peer substance use), cognitive features (e.g., alcohol expectancies), and personality and emotional characteristics (e.g., impulsivity and typical responses to stress) in substance use throughout adolescence and emerging adulthood (ages 13-25; N = 798). Mixed-effects models tailored for the accelerated longitudinal design employed in this study were constructed with psychosocial and developmental factors predicting alcohol and cannabis use. As most participants in the sample exhibited little or no substance use at baseline by design, we excluded baseline assessments and examined data from follow-up years 1, 2, 3, and 4. Interactions between age cohort, change in age, and psychosocial predictors of substance use revealed differing associations over the developmental window for alcohol and cannabis use. For example, positive alcohol expectancies and sensation seeking were most strongly associated with greater drinking after age 18, whereas sensation seeking was associated with increased cannabis use as early as age 15. Higher emotion regulation skills led to less cannabis use in younger ages (i.e., shallower slopes below age 17), but this protective effect diminished after age 17. Results highlight developmentally important factors that differentially contribute to substance use in adolescence and young adulthood. We also demonstrate the importance of developmentally sensitive analyses that maximize the value of data from accelerated longitudinal designs.
Collapse
Affiliation(s)
- Ty Brumback
- Northern Kentucky University, United States.
| | | | | | - Sandra Brown
- University of California, San Diego, United States
| | - Susan Tapert
- University of California, San Diego, United States
| |
Collapse
|
105
|
Rakesh D, Cropley V, Zalesky A, Vijayakumar N, Allen NB, Whittle S. Neighborhood disadvantage and longitudinal brain-predicted-age trajectory during adolescence. Dev Cogn Neurosci 2021; 51:101002. [PMID: 34411954 PMCID: PMC8377545 DOI: 10.1016/j.dcn.2021.101002] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 07/25/2021] [Accepted: 08/08/2021] [Indexed: 01/16/2023] Open
Abstract
Neighborhood disadvantage has consistently been linked to alterations in brain structure; however, positive environmental (e.g., positive parenting) and psychological factors (e.g., temperament) may buffer these effects. We aimed to investigate associations between neighborhood disadvantage and deviations from typical neurodevelopmental trajectories during adolescence, and examine the moderating role of positive parenting and temperamental effortful control (EC). Using a large dataset (n = 1313), a normative model of brain morphology was established, which was then used to predict the age of youth from a longitudinal dataset (n = 166, three time-points at age 12, 16, and 19). Using linear mixed models, we investigated whether trajectories of the difference between brain-predicted-age and chronological age (brainAGE) were associated with neighborhood disadvantage, and whether positive parenting (positive behavior during a problem-solving task) and EC moderated these associations. We found that neighborhood disadvantage was associated with positive brainAGE during early adolescence and a deceleration (decreasing brainAGE) thereafter. EC moderated this association such that in disadvantaged adolescents, low EC was associated with delayed development (negative brainAGE) during late adolescence. Findings provide evidence for complex associations between environmental and psychological factors, and brain maturation. They suggest that neighborhood disadvantage may have long-term effects on neurodevelopment during adolescence, but high EC could buffer these effects.
Collapse
Affiliation(s)
- Divyangana Rakesh
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Victoria, Australia.
| | - Vanessa Cropley
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Victoria, Australia
| | - Andrew Zalesky
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Victoria, Australia; Melbourne School of Engineering, University of Melbourne, Melbourne, Australia
| | | | | | - Sarah Whittle
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Victoria, Australia.
| |
Collapse
|
106
|
Ferschmann L, Bos MGN, Herting MM, Mills KL, Tamnes CK. Contextualizing adolescent structural brain development: Environmental determinants and mental health outcomes. Curr Opin Psychol 2021; 44:170-176. [PMID: 34688028 DOI: 10.1016/j.copsyc.2021.09.014] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 09/15/2021] [Accepted: 09/20/2021] [Indexed: 01/04/2023]
Abstract
The spatiotemporal group-level patterns of brain macrostructural development are relatively well-documented. Current research emphasizes individual variability in brain development, including its causes and consequences. Although genetic factors and prenatal and perinatal events play critical roles, calls are now made to also study brain development in transactional interplay with the different aspects of an individual's physical and social environment. Such focus is highly relevant for research on adolescence, a period involving a multitude of contextual changes paralleled by continued refinement of complex cognitive and affective neural systems. Here, we discuss associations between selected aspects of an individual's physical and social environment and adolescent brain structural development and possible links to mental health. We also touch on methodological considerations for future research.
Collapse
Affiliation(s)
- Lia Ferschmann
- PROMENTA Research Center, Department of Psychology, University of Oslo, Norway.
| | - Marieke G N Bos
- Institute of Psychology, Leiden University, the Netherlands; Leiden Institute for Brain and Cognition, Leiden University, the Netherlands
| | - Megan M Herting
- Department of Population and Public Health Sciences, University of Southern California, USA
| | - Kathryn L Mills
- PROMENTA Research Center, Department of Psychology, University of Oslo, Norway; Department of Psychology, University of Oregon, USA
| | - Christian K Tamnes
- PROMENTA Research Center, Department of Psychology, University of Oslo, Norway; NORMENT, Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| |
Collapse
|
107
|
Brief, Performance-Based Cognitive Screening in Youth Aged 12-25: A Systematic Review. J Int Neuropsychol Soc 2021; 27:835-854. [PMID: 33461647 DOI: 10.1017/s1355617720001241] [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
OBJECTIVE Cognitive screening is an efficient method of detecting cognitive impairment in adults and may signal need for comprehensive assessment. Cognitive screening is not, however, routinely used in youth aged 12-25, limiting clinical recommendations. The aims of this review were to describe performance-based cognitive screening tools used in people aged 12-25 and the contexts of use, review screening accuracy in detecting cognitive impairment relative to an objective reference standard, and evaluate the risk of bias of included studies. METHOD Electronic databases (Scopus, Medline, PsychINFO, and ERIC) were searched for relevant studies according to pre-determined criteria. Risk of bias was rated using the Quality Assessment of Diagnostic Accuracy Studies-2. Dual screening, extraction, and quality ratings occurred at each review phase. RESULTS Twenty studies met the review inclusion criteria. A diverse range of screening tools (length, format) were used in youth aged 12-25 with or without health conditions. Six studies investigating cognitive screening were conducted as primary accuracy studies and reported some relevant psychometric parameters (e.g., sensitivity and specificity). Fourteen studies presented correlational data to investigate the cognitive measure utility. Studies generally presented limited data on classification accuracy, which impacted full screening tool appraisal. Risk of bias was high (or unclear) in most studies with poor adherence to the Standards for Reporting Diagnostic Accuracy Studies (STARD) criteria. CONCLUSIONS Few, high quality studies have investigated the utility of cognitive screening in youth aged 12-25, with no screening measure emerging as superior at detecting cognitive impairment in this age group.
Collapse
|
108
|
Willoughby T, Heffer T, van Noordt S, Desjardins J, Segalowitz S, Schmidt L. An ERP investigation of children and adolescents' sensitivity to wins and losses during a peer observation manipulation. Dev Cogn Neurosci 2021; 51:100995. [PMID: 34364173 PMCID: PMC8353349 DOI: 10.1016/j.dcn.2021.100995] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Revised: 06/23/2021] [Accepted: 07/22/2021] [Indexed: 12/03/2022] Open
Abstract
The purpose of this ERP P3 study was to test a peer observation manipulation (being observed by a peer versus being alone) on neural markers of attention to reward (win-feedback) and punishment (loss-feedback) during the Balloon Analogue Risk Task. Participants (126 children, 53 % male, 8–10 years; 196 early adolescents, 50 % male, 11–13 years; and 121 mid-adolescents, 52 % male, 14–16 years) were assessed by age group and pubertal status. Individual differences in how participants felt about being observed by a peer, and self-report personality factors, also were examined. Findings indicated that early and mid-adolescents (and individuals in mid-puberty and late-puberty) were sensitive to peer observation as both groups showed larger neural responses to loss-feedback in the peer condition than in the alone condition. Conversely, children (and individuals in pre- and early-puberty) were unaffected by peer observation. In addition, there clearly were individual differences in how rewarding versus anxiety-provoking participants found the peer experience. Early adolescents and mid-adolescents (and individuals in mid- and late-puberty) who reported feeling more anxious about the peer observation elicited larger neural responses to loss-feedback, and individuals in mid- and late-puberty in particular reported higher worry and lower sensation-seeking scores than those who reported a positive experience.
Collapse
Affiliation(s)
| | | | | | - James Desjardins
- Montreal Neurological Institute, McGill University, Compute Ontario, Canada
| | | | | |
Collapse
|
109
|
Becht AI, Wierenga LM, Mills KL, Meuwese R, van Duijvenvoorde A, Blakemore SJ, Güroğlu B, Crone EA. Beyond the average brain: individual differences in social brain development are associated with friendship quality. Soc Cogn Affect Neurosci 2021; 16:292-301. [PMID: 33277895 PMCID: PMC7943358 DOI: 10.1093/scan/nsaa166] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 11/18/2020] [Accepted: 12/03/2020] [Indexed: 11/16/2022] Open
Abstract
We tested whether adolescents differ from each other in the structural development of the social brain and whether individual differences in social brain development predicted variability in friendship quality development. Adolescents (N = 299, Mage T1 = 13.98 years) were followed across three biannual waves. We analysed self-reported friendship quality with the best friend at T1 and T3, and bilateral measures of surface area and cortical thickness of the medial prefrontal cortex (mPFC), posterior superior temporal sulcus (pSTS), temporoparietal junction (TPJ) and precuneus across all waves. At the group level, growth curve models confirmed non-linear decreases of surface area and cortical thickness in social brain regions. We identified substantial individual differences in levels and change rates of social brain regions, especially for surface area of the mPFC, pSTS and TPJ. Change rates of cortical thickness varied less between persons. Higher levels of mPFC surface area and cortical thickness predicted stronger increases in friendship quality over time. Moreover, faster cortical thinning of mPFC surface area predicted a stronger increase in friendship quality. Higher levels of TPJ cortical thickness predicted lower friendship quality. Together, our results indicate heterogeneity in social brain development and how this variability uniquely predicts friendship quality development.
Collapse
Affiliation(s)
- Andrik I Becht
- Erasmus School of Social and Behavioural Sciences, Erasmus University Rotterdam, Rotterdam 3062PA, The Netherlands.,Research Center Adolescent Development, Utrecht University, Utrecht 3584CS, The Netherlands.,Brain and Development Research Center, Leiden University, Leiden 2333AK, The Netherlands
| | - Lara M Wierenga
- Brain and Development Research Center, Leiden University, Leiden 2333AK, The Netherlands
| | - Kathryn L Mills
- Department of Psychology, University of Oregon, Eugene, OR 97403, USA
| | - Rosa Meuwese
- Brain and Development Research Center, Leiden University, Leiden 2333AK, The Netherlands
| | - Anna van Duijvenvoorde
- Brain and Development Research Center, Leiden University, Leiden 2333AK, The Netherlands
| | | | - Berna Güroğlu
- Brain and Development Research Center, Leiden University, Leiden 2333AK, The Netherlands
| | - Eveline A Crone
- Erasmus School of Social and Behavioural Sciences, Erasmus University Rotterdam, Rotterdam 3062PA, The Netherlands.,Brain and Development Research Center, Leiden University, Leiden 2333AK, The Netherlands
| |
Collapse
|
110
|
Pozuelo JR, Kilford EJ. Adolescent health series: Adolescent neurocognitive development in Western and Sub-Saharan African contexts. Trop Med Int Health 2021; 26:1333-1344. [PMID: 34270856 DOI: 10.1111/tmi.13656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
The transitional period of adolescence has long been associated with physical, social and behavioural change. During this time, adolescents start to develop their own self-identity, make important life decisions and acquire the necessary skills to successfully transition to adulthood. More recently, advances in brain imaging technology have enabled increased understanding of structural and functional changes in the human brain during this developmental period, and how they relate to social, emotional, motivational and cognitive development. The ability to integrate these developing cognitive processes in increasingly complex social contexts is a key aspect of mature decision-making, which has implications for adolescent health, educational, economic and social outcomes. Insights from the field of developmental cognitive neuroscience could increase our understanding of this influential stage of life and thus inform potential interventions to promote adolescent health, a critical goal for global health research. Many social changes occur during adolescence and the social environment shapes both brain and cognitive development and the decisions adolescents make. Thus, it is important to study adolescent neurocognitive development in socio-cultural context. Yet, despite evidence from Western studies that socio-cultural and economic factors impact on adolescent neurocognitive development, existing studies of adolescent neurocognitive development in sub-Saharan Africa are relatively scarce. We summarise research findings from Western and sub-Saharan African contexts and highlight areas where research is lacking. Longitudinal studies from more diverse global samples will be needed to build a comprehensive model of adolescent development, that characterises both commonalities in developmental trajectories, as well as the way these can meaningfully differ between both individuals and contexts.
Collapse
Affiliation(s)
- Julia R Pozuelo
- Department of Psychiatry, University of Oxford, Oxford, UK.,Centre for the Study of African Economies, Blavatnik School of Government and Economics Department, University of Oxford, Oxford, UK
| | - Emma J Kilford
- Institute of Cognitive Neuroscience, University College London, London, UK.,Department of Clinical, Educational & Health Psychology, University College London, London, UK
| |
Collapse
|
111
|
Luna A, Bernanke J, Kim K, Aw N, Dworkin JD, Cha J, Posner J. Maturity of gray matter structures and white matter connectomes, and their relationship with psychiatric symptoms in youth. Hum Brain Mapp 2021; 42:4568-4579. [PMID: 34240783 PMCID: PMC8410534 DOI: 10.1002/hbm.25565] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 05/03/2021] [Accepted: 06/08/2021] [Indexed: 01/10/2023] Open
Abstract
Brain predicted age difference, or BrainPAD, compares chronological age to an age estimate derived by applying machine learning (ML) to MRI brain data. BrainPAD studies in youth have been relatively limited, often using only a single MRI modality or a single ML algorithm. Here, we use multimodal MRI with a stacked ensemble ML approach that iteratively applies several ML algorithms (AutoML). Eligible participants in the Healthy Brain Network (N = 489) were split into training and test sets. Morphometry estimates, white matter connectomes, or both were entered into AutoML to develop BrainPAD models. The best model was then applied to a held‐out evaluation dataset, and associations with psychometrics were estimated. Models using morphometry and connectomes together had a mean absolute error of 1.18 years, outperforming models using a single MRI modality. Lower BrainPAD values were associated with more symptoms on the CBCL (pcorr = .012) and lower functioning on the Children's Global Assessment Scale (pcorr = .012). Higher BrainPAD values were associated with better performance on the Flanker task (pcorr = .008). Brain age prediction was more accurate using ComBat‐harmonized brain data (MAE = 0.26). Associations with psychometric measures remained consistent after ComBat harmonization, though only the association with CGAS reached statistical significance in the reduced sample. Our findings suggest that BrainPAD scores derived from unharmonized multimodal MRI data using an ensemble ML approach may offer a clinically relevant indicator of psychiatric and cognitive functioning in youth.
Collapse
Affiliation(s)
- Alex Luna
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, New York, USA.,New York State Psychiatric Institute, New York, New York, USA
| | - Joel Bernanke
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, New York, USA.,New York State Psychiatric Institute, New York, New York, USA
| | - Kakyeong Kim
- Department of Brain and Cognitive Sciences, Seoul National University, Seoul, South Korea
| | - Natalie Aw
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, New York, USA.,New York State Psychiatric Institute, New York, New York, USA
| | - Jordan D Dworkin
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, New York, USA.,New York State Psychiatric Institute, New York, New York, USA
| | - Jiook Cha
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, New York, USA.,Department of Brain and Cognitive Sciences, Seoul National University, Seoul, South Korea.,Data Science Institute, Columbia University, New York, New York, USA.,Department of Psychology, Seoul National University, Seoul, South Korea
| | - Jonathan Posner
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, New York, USA.,New York State Psychiatric Institute, New York, New York, USA
| |
Collapse
|
112
|
Raufelder D, Neumann N, Domin M, Lorenz RC, Gleich T, Golde S, Romund L, Beck A, Hoferichter F. Do Belonging and Social Exclusion at School Affect Structural Brain Development During Adolescence? Child Dev 2021; 92:2213-2223. [PMID: 34156088 DOI: 10.1111/cdev.13613] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Students' sense of belonging presents an essential resource for academic and health outcomes, whereas social exclusion at school negatively impacts students' well-being and academic performance. Aiming to understand how feelings of school-related belonging and exclusion shape the structural brain development, this study applied longitudinal questionnaire-based data and MRI data from 71 adolescent students (37 females, Mage at t1 = 15.0; t2 = 16.1 years). All were white participants from Germany. Voxel-based morphometry revealed only an association of social exclusion (and not of belonging) and gray matter volume in the left anterior insula: From t1 to t2, there was less gray matter decrease, the more social exclusion students perceived. School-related social exclusion and disturbed neurodevelopment are thus significantly associated.
Collapse
Affiliation(s)
| | - Nicola Neumann
- University Medicine Greifswald - Diagnostic Radiology and Neuroradiology
| | - Martin Domin
- University Medicine Greifswald - Diagnostic Radiology and Neuroradiology
| | | | | | | | | | - Anne Beck
- Charité-University Medicine.,HMU Health and Medical University Potsdam
| | | |
Collapse
|
113
|
Norbom LB, Ferschmann L, Parker N, Agartz I, Andreassen OA, Paus T, Westlye LT, Tamnes CK. New insights into the dynamic development of the cerebral cortex in childhood and adolescence: Integrating macro- and microstructural MRI findings. Prog Neurobiol 2021; 204:102109. [PMID: 34147583 DOI: 10.1016/j.pneurobio.2021.102109] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 04/26/2021] [Accepted: 06/15/2021] [Indexed: 12/11/2022]
Abstract
Through dynamic transactional processes between genetic and environmental factors, childhood and adolescence involve reorganization and optimization of the cerebral cortex. The cortex and its development plays a crucial role for prototypical human cognitive abilities. At the same time, many common mental disorders appear during these critical phases of neurodevelopment. Magnetic resonance imaging (MRI) can indirectly capture several multifaceted changes of cortical macro- and microstructure, of high relevance to further our understanding of the neural foundation of cognition and mental health. Great progress has been made recently in mapping the typical development of cortical morphology. Moreover, newer less explored MRI signal intensity and specialized quantitative T2 measures have been applied to assess microstructural cortical development. We review recent findings of typical postnatal macro- and microstructural development of the cerebral cortex from early childhood to young adulthood. We cover studies of cortical volume, thickness, area, gyrification, T1-weighted (T1w) tissue contrasts such a grey/white matter contrast, T1w/T2w ratio, magnetization transfer and myelin water fraction. Finally, we integrate imaging studies with cortical gene expression findings to further our understanding of the underlying neurobiology of the developmental changes, bridging the gap between ex vivo histological- and in vivo MRI studies.
Collapse
Affiliation(s)
- Linn B Norbom
- NORMENT, Institute of Clinical Medicine, University of Oslo, Norway; PROMENTA Research Center, Department of Psychology, University of Oslo, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway.
| | - Lia Ferschmann
- PROMENTA Research Center, Department of Psychology, University of Oslo, Norway
| | - Nadine Parker
- Institute of Medical Science, University of Toronto, Ontario, Canada
| | - Ingrid Agartz
- NORMENT, Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway; K.G Jebsen Center for Neurodevelopmental Disorders, University of Oslo, Norway
| | - Ole A Andreassen
- K.G Jebsen Center for Neurodevelopmental Disorders, University of Oslo, Norway; NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway
| | - Tomáš Paus
- ECOGENE-21, Chicoutimi, Quebec, Canada; Department of Psychology and Psychiatry, University of Toronto, Ontario, Canada; Department of Psychiatry and Centre hospitalier universitaire Sainte-Justine, University of Montreal, Canada
| | - Lars T Westlye
- K.G Jebsen Center for Neurodevelopmental Disorders, University of Oslo, Norway; NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Norway
| | - Christian K Tamnes
- NORMENT, Institute of Clinical Medicine, University of Oslo, Norway; PROMENTA Research Center, Department of Psychology, University of Oslo, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway.
| |
Collapse
|
114
|
Wang X, Li Q, Zhao Y, He Y, Ma B, Fu Z, Li S. Decomposition of individual-specific and individual-shared components from resting-state functional connectivity using a multi-task machine learning method. Neuroimage 2021; 238:118252. [PMID: 34116155 DOI: 10.1016/j.neuroimage.2021.118252] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Revised: 05/31/2021] [Accepted: 06/07/2021] [Indexed: 10/21/2022] Open
Abstract
Resting-state functional connectivity (RSFC) can be used for mapping large-scale human brain networks during rest. There is considerable interest in distinguishing the individual-shared and individual-specific components in RSFC for the better identification of individuals and prediction of behavior. Therefore, we propose a multi-task learning based sparse convex alternating structure optimization (MTL-sCASO) method to decompose RSFC into individual-specific connectivity and individual-shared connectivity. We used synthetic data to validate the efficacy of the MTL-sCASO method. In addition, we verified that individual-specific connectivity achieves higher identification rates than the Pearson correlation (PC) method, and the individual-specific components observed in 886 individuals from the Human Connectome Project (HCP) examined in two sessions over two consecutive days might serve as individual fingerprints. Individual-specific connectivity has low inter-subject similarity (-0.005±0.023), while individual-shared connectivity has high inter-subject similarity (0.822±0.061). We also determined the anatomical locations (region or subsystem) related to individual attributes and common features. We find that individual-specific connectivity exhibits low degree centrality in the sensorimotor processing system but high degree centrality in the control system. Importantly, the individual-specific connectivity estimated by the MTL-sCASO method accurately predicts behavioral scores (improved by 9.4% compared to the PC method) in the cognitive dimension. The decomposition of individual-specific and individual-shared components from RSFC provides a new approach for tracing individual traits and group analysis using functional brain networks.
Collapse
Affiliation(s)
- Xuetong Wang
- School of Biological Science & Medical Engineering, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, 100083, China
| | - Qiongling Li
- School of Biological Science & Medical Engineering, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, 100083, China
| | - Yan Zhao
- School of Biological Science & Medical Engineering, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, 100083, China
| | - Yirong He
- School of Biological Science & Medical Engineering, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, 100083, China
| | - Baoqiang Ma
- School of Biological Science & Medical Engineering, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, 100083, China
| | - Zhenrong Fu
- School of Biological Science & Medical Engineering, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, 100083, China
| | - Shuyu Li
- School of Biological Science & Medical Engineering, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, 100083, China
| |
Collapse
|
115
|
Children's shyness and neural responses to social exclusion: Patterns of midfrontal theta power usually not observed until adolescence. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2021; 21:1262-1275. [PMID: 34089488 DOI: 10.3758/s13415-021-00916-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 05/10/2021] [Indexed: 11/08/2022]
Abstract
Adverse peer experiences, such as social exclusion, are known risks for socioemotional problems among shy youth. Yet, little is known about how shy children and adolescents process social exclusion in the brain and whether these responses are amplified in adolescence. Using the Cyberball task, we examined mediofrontal theta (4-7 Hz) event-related EEG spectral power during conditions of fair play and social exclusion in 122 participants (58 children, ages 10-12 years, and 64 adolescents, ages 14-17 years). Age effects of the task showed that adolescents displayed heightened theta power to both outright rejection and baseline "not my turn" events, whereas children showed higher theta power to rejection compared with "not my turn" events. Further results on individual differences showed that children with relatively higher levels of shyness displayed enhanced theta power to both rejection and "not my turn" events-a pattern that also was observed in adolescents. These findings suggest that a pattern of heightened neural sensitivity to both outright social exclusion and threats of exclusion, which is the norm by adolescence, also is observed in children with higher levels of shyness. The similar neural response pattern might be driven by salient social motivations that similarly modify the social cognition and behaviors of these groups and might reflect neural antecedents of rejection sensitivity.
Collapse
|
116
|
De Coninck D, Matthijs K, de Winter P, Toelen J. Late adolescents' own and assumed parental preferences towards health-care related confidentiality and consent in Belgium. PLoS One 2021; 16:e0252618. [PMID: 34077468 PMCID: PMC8171959 DOI: 10.1371/journal.pone.0252618] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Accepted: 05/18/2021] [Indexed: 12/05/2022] Open
Abstract
Objectives Health care professionals regularly struggle with issues relating to confidentiality and consent for physical and/or mental health issues among adolescents. We investigate late adolescents’ own and assumed parental preferences towards health-care related confidentiality and consent. Methods We analyzed online survey data of four vignettes from 463 first-year university students at KU Leuven (Flanders, Belgium). We used paired samples t-tests to assess the (in)consistency between attitudes of late adolescents and their assumed parental attitudes, independent samples t-tests to estimate gender differences, and binomial logistic regressions to analyze the association of assumed parental preferences with late adolescents’ own preferences. Results Attitudinal inconsistencies were present in all vignettes. Late adolescents were significantly more in favor of confidentiality and adolescent consent than what they believed their parents were. Gender differences were limited. Binomial logistic regressions indicated that assumed parental preferences were strongly associated with late adolescents’ own preferences. Conclusions Findings suggest a clear difference between late adolescents’ preferences and assumed parental preferences: they believe that their parents are less inclined to favor confidentiality and adolescent consent. We also find that this difference depends on the case, indicating that there is no such thing as general ‘confidentiality preferences’. Rather, a decision- and/or context-specific perspective should be adopted.
Collapse
Affiliation(s)
- David De Coninck
- Centre for Sociological Research, KU Leuven, Leuven, Belgium
- * E-mail:
| | - Koen Matthijs
- Centre for Sociological Research, KU Leuven, Leuven, Belgium
| | - Peter de Winter
- Department of Pediatrics, Spaarne Gasthuis, Hoofddorp, The Netherlands
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Jaan Toelen
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
- Division of Woman and Child, Department of Pediatrics, UZ Leuven, Leuven, Belgium
| |
Collapse
|
117
|
Bigler ED. Charting Brain Development in Graphs, Diagrams, and Figures from Childhood, Adolescence, to Early Adulthood: Neuroimaging Implications for Neuropsychology. JOURNAL OF PEDIATRIC NEUROPSYCHOLOGY 2021. [DOI: 10.1007/s40817-021-00099-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
|
118
|
Sawyer JL, Mishna F, Bouffet E, Saini M, Zlotnik-Shaul R. Bridging the Gap: Exploring the Impact of Hospital Isolation on Peer Relationships Among Children and Adolescents with a Malignant Brain Tumor. CHILD & ADOLESCENT SOCIAL WORK JOURNAL : C & A 2021; 40:91-105. [PMID: 34025015 PMCID: PMC8130807 DOI: 10.1007/s10560-021-00764-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 04/24/2021] [Indexed: 06/12/2023]
Abstract
Children and adolescents with complex medical conditions are often uprooted from their environments and isolated in hospital while undergoing treatment. Little is known about how they perceive this isolation and its subsequent impact on their relationships with peers, both during and after isolation for treatment. This study describes the experience of hospital isolation from the perspectives of children and adolescents with a malignant brain tumor. The use and impact of information and communication technologies (ICT) as a possible bridge for contact is also explored. Following a qualitative approach utilizing interpretive phenomenological analysis, in-depth interviews were conducted with eight youth participants who had undergone treatment for medulloblastoma. Data analysis generated three main themes: (1) transforming children and relationships, (2) hospitalization in a digital world, and (3) ICTs as a promising bridge back to school. Study findings provide insight into the experience of hospital isolation for children and adolescents, while highlighting the positive social as well as academic outcomes of frequent, open ended ICT use throughout hospital isolation. This is timely, given the context of the COVID-19 pandemic and its resulting isolation. Considerations for hospital social workers to promote relationships and connection, while facilitating a smooth transition as these children return to school are included.
Collapse
Affiliation(s)
- Jami-Leigh Sawyer
- Factor-Inwentash Faculty of Social Work, University of Toronto, 246 Bloor Street West, Toronto, ON M5S1V4 Canada
| | - Faye Mishna
- Factor-Inwentash Faculty of Social Work, University of Toronto, 246 Bloor Street West, Toronto, ON M5S1V4 Canada
| | - Eric Bouffet
- The Hospital for Sick Children, Toronto, ON Canada
- Department of Paediatrics, University of Toronto, Toronto, ON Canada
| | - Michael Saini
- Factor-Inwentash Faculty of Social Work, University of Toronto, 246 Bloor Street West, Toronto, ON M5S1V4 Canada
| | | |
Collapse
|
119
|
Serrano-Gonzalez M, Herting MM, Lim SL, Sullivan NJ, Kim R, Espinoza J, Koppin CM, Javier JR, Kim MS, Luo S. Developmental Changes in Food Perception and Preference. Front Psychol 2021; 12:654200. [PMID: 34084148 PMCID: PMC8168465 DOI: 10.3389/fpsyg.2021.654200] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Accepted: 04/06/2021] [Indexed: 12/05/2022] Open
Abstract
Food choices are a key determinant of dietary intake, with brain regions, such as the mesolimbic and prefrontal cortex maturing at differential rates into adulthood. More needs to be understood about developmental changes in healthy and unhealthy food perceptions and preference. We investigated how food perceptions and preference vary as a function of age and how food attributes (taste and health) impact age-related changes. One hundred thirty-nine participants (8–23 years, 60 females) completed computerized tasks to rate high-calorie and low-calorie food cues for taste, health, and liking (preference), followed by 100 binary food choices based on each participant’s ratings. Dietary self-control was considered successful when the healthier (vs. tastier) food was chosen. Self-control success ratio was the proportion of success trials over total number of choices. Beta-weights for health (β-health) and taste (β-taste) were calculated as each attribute’s influence on food preference. Adiposity measurements included BMI z-score and waist-to-height ratio (WHtR). High-calorie foods were rated more tasty and less healthy with increasing age. Older participants liked high-calorie foods more (vs. younger participants), and β-taste was associated with age. Significant age-by-WHtR interactions were observed for health and taste ratings of high-calorie foods, β-taste, and marginally for preference of high-calorie foods. Stratifying by WHtR (high, low), we found age-related increases in taste and preference ratings of high-calorie foods in the high WHtR group alone. In contrast, age-related decreases in health ratings of high-calorie foods were significant in the low WHtR group alone. Age and β-taste were significantly associated in the high WHtR group and only marginally significant with low WHtR. Although participants rated low-calorie foods as less tasty and less healthy with increasing age, there was no association between age and preference for low-calorie foods. Participants made faster food choices with increasing age regardless of WHtR, with a significant age-by-WHtR interaction on reaction time (RT). There were no age-related effects in self-control success ratio and β-health. These results suggest that individual differences in age and central adiposity play an important role in preference for high-calorie foods, and a higher importance of food tastiness in food choice may contribute to greater preference for high-calorie foods with increasing age.
Collapse
Affiliation(s)
- Monica Serrano-Gonzalez
- Warren Alpert Medical School of Brown University, Providence, RI, United States.,Department of Pediatric Endocrinology, Hasbro Children's Hospital, Providence, RI, United States
| | - Megan M Herting
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, Los Angeles, CA, United States.,Department of Pediatrics, Keck School of Medicine of University of Southern California, Los Angeles, CA, United States
| | - Seung-Lark Lim
- Department of Psychology, University of Missouri-Kansas City, Kansas City, MO, United States
| | | | - Robert Kim
- Center for Endocrinology, Diabetes and Metabolism, Children's Hospital Los Angeles, Los Angeles, CA, United States
| | - Juan Espinoza
- Department of Pediatrics, Keck School of Medicine of University of Southern California, Los Angeles, CA, United States.,Division of General Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA, United States.,The Saban Research Institute of Children's Hospital Los Angeles, Los Angeles, CA, United States
| | - Christina M Koppin
- Center for Endocrinology, Diabetes and Metabolism, Children's Hospital Los Angeles, Los Angeles, CA, United States
| | - Joyce R Javier
- Department of Pediatrics, Keck School of Medicine of University of Southern California, Los Angeles, CA, United States.,Division of General Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA, United States.,The Saban Research Institute of Children's Hospital Los Angeles, Los Angeles, CA, United States
| | - Mimi S Kim
- Department of Pediatrics, Keck School of Medicine of University of Southern California, Los Angeles, CA, United States.,Center for Endocrinology, Diabetes and Metabolism, Children's Hospital Los Angeles, Los Angeles, CA, United States.,The Saban Research Institute of Children's Hospital Los Angeles, Los Angeles, CA, United States
| | - Shan Luo
- Department of Psychology, University of Southern California, Los Angeles, CA, United States.,Division of Endocrinology, Keck School of Medicine of University of Southern California, Los Angeles, CA, United States
| |
Collapse
|
120
|
Baranger DAA, Lindenmuth M, Nance M, Guyer AE, Keenan K, Hipwell AE, Shaw DS, Forbes EE. The longitudinal stability of fMRI activation during reward processing in adolescents and young adults. Neuroimage 2021; 232:117872. [PMID: 33609668 PMCID: PMC8238413 DOI: 10.1016/j.neuroimage.2021.117872] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 02/12/2021] [Accepted: 02/13/2021] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND The use of functional neuroimaging has been an extremely fruitful avenue for investigating the neural basis of human reward function. This approach has included identification of potential neurobiological mechanisms of psychiatric disease and examination of environmental, experiential, and biological factors that may contribute to disease risk via effects on the reward system. However, a central and largely unexamined assumption of much of this research is that neural reward function is an individual difference characteristic that is relatively stable and trait-like over time. METHODS In two independent samples of adolescents and young adults studied longitudinally (Ns = 145 & 139, 100% female and 100% male, ages 15-21 and 20-22, 2-4 scans and 2 scans respectively), we tested within-person stability of reward-task BOLD activation, with a median of 1 and 2 years between scans. We examined multiple commonly used contrasts of active states and baseline in both the anticipation and feedback phases of a card-guessing reward task. We examined the effects of cortical parcellation resolution, contrast, network (reward regions and resting-state networks), region-size, and activation strength and variability on the stability of reward-related activation. RESULTS In both samples, contrasts of an active state relative to a baseline were more stable (ICC: intra-class correlation; e.g., Win>Baseline; mean ICC = 0.13 - 0.33) than contrasts of two active states (e.g., Win>Loss; mean ICC = 0.048 - 0.05). Additionally, activation in reward regions was less stable than in many non-task networks (e.g., dorsal attention), and activation in regions with greater between-subject variability showed higher stability in both samples. CONCLUSIONS These results show that some contrasts from functional neuroimaging activation during a card guessing reward task have partially trait-like properties in adolescent and young adult samples over 1-2 years. Notably, results suggest that contrasts intended to map cognitive function and show robust group-level effects (i.e. Win > Loss) may be less effective in studies of individual differences and disease risk. The robustness of group-level activation should be weighed against other factors when selecting regions of interest in individual difference fMRI studies.
Collapse
Affiliation(s)
- David A A Baranger
- University of Pittsburgh School of Medicine, Department of Psychiatry, 121 Meyran Avenue, Pittsburgh, PA 15213, United States.
| | - Morgan Lindenmuth
- University of Pittsburgh School of Medicine, Department of Psychiatry, 121 Meyran Avenue, Pittsburgh, PA 15213, United States
| | - Melissa Nance
- University of Pittsburgh School of Medicine, Department of Psychiatry, 121 Meyran Avenue, Pittsburgh, PA 15213, United States
| | - Amanda E Guyer
- Center for Mind and Brain, University of California Davis, Davis, CA, United States; Department of Human Ecology, University of California Davis, Davis, CA, United States
| | - Kate Keenan
- University of Chicago, Department of Psychiatry and Behavioral Neuroscience, Chicago, IL, United States
| | - Alison E Hipwell
- University of Pittsburgh School of Medicine, Department of Psychiatry, 121 Meyran Avenue, Pittsburgh, PA 15213, United States
| | - Daniel S Shaw
- University of Pittsburgh, Department of Psychology, Pittsburgh, PA, United States
| | - Erika E Forbes
- University of Pittsburgh School of Medicine, Department of Psychiatry, 121 Meyran Avenue, Pittsburgh, PA 15213, United States; University of Pittsburgh, Department of Psychology, Pittsburgh, PA, United States
| |
Collapse
|
121
|
Subtypes of inhibitory and reward activation associated with substance use variation in adolescence: A latent profile analysis of brain imaging data. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2021; 21:1101-1114. [PMID: 33973159 DOI: 10.3758/s13415-021-00907-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 04/19/2021] [Indexed: 11/08/2022]
Abstract
The present study identified subgroups based on inhibitory and reward activation, two key neural functions involved in risk-taking behavior, and then tested the extent to which subgroup differences varied by age, sex, behavioral and familial risk, and substance use. Participants were 145 young adults (18-21 years old; 40.0% female) from the Michigan Longitudinal Study. Latent profile analysis (LPA) was used to establish subgroups using task-based brain activations. Demographic and substance use differences between subgroups were then examined in logistic regression analyses. Whole-brain task activations during a functional magnetic resonance imaging go/no-go task and monetary incentive delay task were used to identify beta weights as input for LPA modeling. A four-class model showed the best fit with the data. Subgroups were categorized as: (1) low inhibitory activation/moderate reward activation (39.7%), (2) moderate inhibitory activation/low reward activation (22.7%), (3) moderate inhibitory activation/high reward activation (25.2%), and (4) high inhibitory activation/high reward activation (12.4%). Compared with the other subgroups, Class 2 was older, less likely to have parental alcohol use disorder, and had less alcohol use. Class 4 was the youngest and had greater marijuana use. Classes 1 and 3 did not differ significantly from the other subgroups. These findings demonstrate that LPA applied to brain activations can be used to identify distinct neural profiles that may explain heterogeneity in substance use outcomes and may inform more targeted substance use prevention and intervention efforts.
Collapse
|
122
|
Lei J, Russell A. I Have a Fear of Negative Evaluation, Get Me Out of Here! Examining Latent Constructs of Social Anxiety and Autistic Traits in Neurotypical and Autistic Young People. J Autism Dev Disord 2021; 51:1729-1747. [PMID: 32808152 PMCID: PMC8084828 DOI: 10.1007/s10803-020-04657-3] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Understanding shared and unique constructs underlying social communication difficulties in autism spectrum disorder (ASD) and social anxiety disorder (SAD) can address potential diagnostic overshadowing when evaluating SAD in the context of autism. Using self-report measures, factor analyses examined constructs underlying autistic traits, social anxiety, internalising symptoms and wellbeing amongst 267 neurotypical (17-19 years) and 145 autistic (15-22 years) students in the UK. Shared constructs across measures assessed general social communication competency (e.g., social distress in new situations and peer relationships). Fear of Negative Evaluation (FNE) was identified in both samples as a stable construct unique to social anxiety. Adapting interventions targeting SAD in autism should target FNE during adolescence which marks a period of heightened peer interaction and social vulnerability.
Collapse
Affiliation(s)
- Jiedi Lei
- Department of Psychology, Centre for Applied Autism Research, University of Bath, Bath, BA2 7AY, UK.
| | - Ailsa Russell
- Department of Psychology, Centre for Applied Autism Research, University of Bath, Bath, BA2 7AY, UK
| |
Collapse
|
123
|
Parkes L, Moore TM, Calkins ME, Cook PA, Cieslak M, Roalf DR, Wolf DH, Gur RC, Gur RE, Satterthwaite TD, Bassett DS. Transdiagnostic dimensions of psychopathology explain individuals' unique deviations from normative neurodevelopment in brain structure. Transl Psychiatry 2021; 11:232. [PMID: 33879764 PMCID: PMC8058055 DOI: 10.1038/s41398-021-01342-6] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 02/24/2021] [Accepted: 03/05/2021] [Indexed: 12/14/2022] Open
Abstract
Psychopathology is rooted in neurodevelopment. However, clinical and biological heterogeneity, together with a focus on case-control approaches, have made it difficult to link dimensions of psychopathology to abnormalities of neurodevelopment. Here, using the Philadelphia Neurodevelopmental Cohort, we built normative models of cortical volume and tested whether deviations from these models better predicted psychiatric symptoms compared to raw cortical volume. Specifically, drawing on the p-factor hypothesis, we distilled 117 clinical symptom measures into six orthogonal psychopathology dimensions: overall psychopathology, anxious-misery, externalizing disorders, fear, positive psychosis symptoms, and negative psychosis symptoms. We found that multivariate patterns of deviations yielded improved out-of-sample prediction of psychopathology dimensions compared to multivariate patterns of raw cortical volume. We also found that correlations between overall psychopathology and deviations in ventromedial prefrontal, inferior temporal, and dorsal anterior cingulate cortices were stronger than those observed for specific dimensions of psychopathology (e.g., anxious-misery). Notably, these same regions are consistently implicated in a range of putatively distinct disorders. Finally, we performed conventional case-control comparisons of deviations in a group of individuals with depression and a group with attention-deficit hyperactivity disorder (ADHD). We observed spatially overlapping effects between these groups that diminished when controlling for overall psychopathology. Together, our results suggest that modeling cortical brain features as deviations from normative neurodevelopment improves prediction of psychiatric symptoms in out-of-sample testing, and that p-factor models of psychopathology may assist in separating biomarkers that are disorder-general from those that are disorder-specific.
Collapse
Affiliation(s)
- Linden Parkes
- Department of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Tyler M Moore
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Lifespan Brain Institute, University of Pennsylvania & Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Monica E Calkins
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Lifespan Brain Institute, University of Pennsylvania & Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Philip A Cook
- Department of Radiology, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Matthew Cieslak
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Lifespan Brain Institute, University of Pennsylvania & Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - David R Roalf
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Lifespan Brain Institute, University of Pennsylvania & Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Daniel H Wolf
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Lifespan Brain Institute, University of Pennsylvania & Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Ruben C Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Lifespan Brain Institute, University of Pennsylvania & Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- Department of Radiology, Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Department of Neurology, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Raquel E Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Lifespan Brain Institute, University of Pennsylvania & Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- Department of Radiology, Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Department of Neurology, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Theodore D Satterthwaite
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Lifespan Brain Institute, University of Pennsylvania & Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Danielle S Bassett
- Department of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Neurology, Perelman School of Medicine, Philadelphia, PA, 19104, USA.
- Department of Electrical & Systems Engineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Physics & Astronomy, College of Arts & Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Santa Fe Institute, Santa Fe, NM, 87501, USA.
| |
Collapse
|
124
|
Subjective Well-being, Bullying, and School Climate Among Chilean Adolescents Over Time. SCHOOL MENTAL HEALTH 2021. [DOI: 10.1007/s12310-021-09442-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
|
125
|
Takahashi Y, Pease CR, Pingault J, Viding E. Genetic and environmental influences on the developmental trajectory of callous-unemotional traits from childhood to adolescence. J Child Psychol Psychiatry 2021; 62:414-423. [PMID: 32418200 PMCID: PMC8432158 DOI: 10.1111/jcpp.13259] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/09/2020] [Indexed: 12/27/2022]
Abstract
BACKGROUND This study examined the genetic and environmental influences underlying baseline level and developmental course of callous-unemotional (CU) traits across childhood and adolescence. METHODS The data on 8,958 twin pairs (3,108 MZ twin pairs and 5,850 DZ twin pairs) from the Twins Early Development Study were analysed. CU traits were assessed at ages 7, 9, 12 and 16 by mothers and analysed using a biometric latent growth model. RESULTS Individual differences in the baseline level of CU traits were highly heritable (76.5%), while the heritability of the developmental course of CU traits was moderate (43.6%). The genetic influences on baseline level and developmental course of CU traits were mostly nonoverlapping. Nonshared environment made a modest contribution to the baseline level of CU traits (21.7%). Nonshared environmental influences on the developmental course of CU traits were moderate (43.2%), with nearly half of them being the same as those influencing the baseline level and just over half being specific. Shared environmental effects did not contribute to systematic change across childhood and adolescence but were rather age-specific. CONCLUSIONS Our findings demonstrate that rather than only being conceptualized as factors of stability, genes also play a dynamic role in explaining systematic change in CU traits. Genetic effects for the initial risk and subsequent development of CU traits are not the same. In addition to genetic factors, nonshared environmental influences play an important role in explaining why some children will increase or maintain their CU traits over time, whereas other will desist. New genetic and environmental influences with age suggest that repeated, age-tailored interventions may be required throughout development to make a lasting difference in the presentation of CU traits and associated outcomes.
Collapse
Affiliation(s)
- Yusuke Takahashi
- The Hakubi Center for Advanced Research, and Division of Cognitive Psychology in EducationGraduate School of EducationKyoto UniversityKyotoJapan,Department of Clinical, Educational and Health PsychologyDivision of Psychology and Language SciencesUniversity College LondonLondonUK
| | - Christopher R. Pease
- Department of Clinical, Educational and Health PsychologyDivision of Psychology and Language SciencesUniversity College LondonLondonUK
| | - Jean‐Baptiste Pingault
- Department of Clinical, Educational and Health PsychologyDivision of Psychology and Language SciencesUniversity College LondonLondonUK,Social, Genetic and Developmental Psychiatry CentreKing's College LondonLondonUK
| | - Essi Viding
- Department of Clinical, Educational and Health PsychologyDivision of Psychology and Language SciencesUniversity College LondonLondonUK,Social, Genetic and Developmental Psychiatry CentreKing's College LondonLondonUK
| |
Collapse
|
126
|
Zanini GAV, Miranda MC, Cogo-Moreira H, Nouri A, Fernández AL, Pompéia S. An Adaptable, Open-Access Test Battery to Study the Fractionation of Executive-Functions in Diverse Populations. Front Psychol 2021; 12:627219. [PMID: 33859592 PMCID: PMC8042159 DOI: 10.3389/fpsyg.2021.627219] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Accepted: 02/02/2021] [Indexed: 12/21/2022] Open
Abstract
The umbrella-term 'executive functions' (EF) includes various domain-general, goal-directed cognitive abilities responsible for behavioral self-regulation. The influential unity and diversity model of EF posits the existence of three correlated yet separable executive domains: inhibition, shifting and updating. These domains may be influenced by factors such as socioeconomic status (SES) and culture, possibly due to the way EF tasks are devised and to biased choice of stimuli, focusing on first-world testees. Here, we propose a FREE (Free Research Executive Function Evaluation) test battery that includes two open-access tasks for each of the three abovementioned executive domains to allow latent variables to be obtained. The tasks were selected from those that have been shown to be representative of each domain, that are not copyrighted and do not require special hardware/software to be administered. These tasks were adapted for use in populations with varying SES/schooling levels by simplifying tasks/instructions and using easily recognized stimuli such as pictures. Items are answered verbally and tasks are self-paced to minimize interference from individual differences in psychomotor and perceptual speed, to better isolate executive from other cognitive abilities. We tested these tasks on 146 early adolescents (aged 9-15 years) of both sexes and varying SES, because this is the age group in which the executive domains of interest become distinguishable and in order to confirm that SES effects were minimized. Performance was determined by Rate Correct Scores (correct answers divided by total time taken to complete blocks/trial), which consider speed-accuracy trade-offs. Scores were sensitive to the expected improvement in performance with age and rarely/inconsistently affected by sex and SES, as expected, with no floor or ceiling effects, or skewed distribution, thus suggesting their adequacy for diverse populations in these respects. Using structural equation modeling, evidence based on internal structure was obtained by replicating the three correlated-factor solution proposed by the authors of the model. We conclude that the FREE test battery, which is open access and described in detail, holds promise as a tool for research that can be adapted for a wide range of populations, as well as altered and/or complemented in coming studies.
Collapse
Affiliation(s)
| | - Monica C. Miranda
- Programa de Pós Graduação em Psicologia-Psicossomática, Universidade Ibirapuera, São Paulo, Brazil
| | - Hugo Cogo-Moreira
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, China
- Programa de Pós Graduação em Psiquiatria, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Ali Nouri
- Department of Education Studies, Faculty of Humanities, Malayer University, Malayer, Iran
| | - Alberto L. Fernández
- Universidad Católica de Córdoba, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - Sabine Pompéia
- Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, Brazil
| |
Collapse
|
127
|
Hao L, Li L, Chen M, Xu J, Jiang M, Wang Y, Jiang L, Chen X, Qiu J, Tan S, Gao JH, He Y, Tao S, Dong Q, Qin S. Mapping Domain- and Age-Specific Functional Brain Activity for Children's Cognitive and Affective Development. Neurosci Bull 2021; 37:763-776. [PMID: 33743125 DOI: 10.1007/s12264-021-00650-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Accepted: 09/25/2020] [Indexed: 12/28/2022] Open
Abstract
The human brain undergoes rapid development during childhood, with significant improvement in a wide spectrum of cognitive and affective functions. Mapping domain- and age-specific brain activity patterns has important implications for characterizing the development of children's cognitive and affective functions. The current mainstay of brain templates is primarily derived from structural magnetic resonance imaging (MRI), and thus is not ideal for mapping children's cognitive and affective brain development. By integrating task-dependent functional MRI data from a large sample of 250 children (aged 7 to 12) across multiple domains and the latest easy-to-use and transparent preprocessing workflow, we here created a set of age-specific brain functional activity maps across four domains: attention, executive function, emotion, and risky decision-making. Moreover, we developed a toolbox named Developmental Brain Functional Activity maps across multiple domains that enables researchers to visualize and download domain- and age-specific brain activity maps for various needs. This toolbox and maps have been released on the Neuroimaging Informatics Tools and Resources Clearinghouse website ( http://www.nitrc.org/projects/dbfa ). Our study provides domain- and age-specific brain activity maps for future developmental neuroimaging studies in both healthy and clinical populations.
Collapse
Affiliation(s)
- Lei Hao
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.,College of Teacher Education, Southwest University, Chongqing, 400715, China.,Key Laboratory of Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, 100875, China
| | - Lei Li
- School of Information Engineering, Huzhou University, Huzhou, 313000, China
| | - Menglu Chen
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.,Key Laboratory of Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, 100875, China
| | - Jiahua Xu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.,Key Laboratory of Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, 100875, China
| | - Min Jiang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.,Key Laboratory of Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, 100875, China
| | - Yanpei Wang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.,Key Laboratory of Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, 100875, China
| | - Linhua Jiang
- School of Information Engineering, Huzhou University, Huzhou, 313000, China
| | - Xu Chen
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, 400715, China.,Faculty of Psychology, Southwest University, Chongqing, 400715, China
| | - Jiang Qiu
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, 400715, China.,Faculty of Psychology, Southwest University, Chongqing, 400715, China
| | - Shuping Tan
- Beijing HuiLongGuan Hospital, Peking University, Beijing, 100096, China
| | - Jia-Hong Gao
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China
| | - Yong He
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.,Key Laboratory of Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, 100875, China
| | - Sha Tao
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.
| | - Qi Dong
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Shaozheng Qin
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China. .,Key Laboratory of Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, 100875, China.
| |
Collapse
|
128
|
Leisman G, Waksman I. Commentary: The Incidence of Road Traffic Crashes Among Young People Aged 15-20 Years: Differences in Behavior, Lifestyle and Sociodemographic Indices in the Galilee and the Golan. Front Public Health 2021; 9:651376. [PMID: 33748072 PMCID: PMC7969495 DOI: 10.3389/fpubh.2021.651376] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Accepted: 02/10/2021] [Indexed: 11/25/2022] Open
Affiliation(s)
- Gerry Leisman
- Faculty Social Welfare and Health Sciences, University of Haifa, Haifa, Israel.,Neurofisiología Cliníca, Instituto de Neurología y Neurocirugía, Universidad de Ciencias Médicas, Havana, Cuba
| | - Igor Waksman
- Laboratory for Global Health, Department of Surgery B, Galilee Medical Center, Nahariya, Israel
| |
Collapse
|
129
|
de Figueiredo CS, Sandre PC, Portugal LCL, Mázala-de-Oliveira T, da Silva Chagas L, Raony Í, Ferreira ES, Giestal-de-Araujo E, Dos Santos AA, Bomfim POS. COVID-19 pandemic impact on children and adolescents' mental health: Biological, environmental, and social factors. Prog Neuropsychopharmacol Biol Psychiatry 2021; 106:110171. [PMID: 33186638 PMCID: PMC7657035 DOI: 10.1016/j.pnpbp.2020.110171] [Citation(s) in RCA: 270] [Impact Index Per Article: 90.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 11/02/2020] [Accepted: 11/06/2020] [Indexed: 12/11/2022]
Abstract
Since the Coronavirus disease 2019 (COVID-19) pandemic, caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) was announced, we had an unprecedented change in the way we organize ourselves socially and in our daily routine. Children and adolescents were also greatly impacted by the abrupt withdrawal from school, social life and outdoor activities. Some of them also experienced domestic violence growing. The stress they are subjected to directly impacts their mental health on account of increased anxiety, changes in their diets and in school dynamics, fear or even failing to scale the problem. Our aim is to bring up a discussion under different aspects and to alert public health and government agents about the need for surveillance and care of these individuals. We hope that the damage to their mental health as a result of the side effect of this pandemic can be mitigated by adequate and timely intervention.
Collapse
Affiliation(s)
- Camila Saggioro de Figueiredo
- Department of Neurobiology and Program of Neurosciences, Institute of Biology, Federal Fluminense University, Niterói, 24020-141, Brazil
| | - Poliana Capucho Sandre
- NuPEDEN, Nucleus for Research, Education, Dissemination and Neurosciences Popularization, Department of Neurobiology and Program of Neurosciences, Institute of Biology, Federal Fluminense University, Niterói 24020-141, Brazil; Thymus Research Laboratory, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro 21040-360, Brazil
| | - Liana Catarina Lima Portugal
- NuPEDEN, Nucleus for Research, Education, Dissemination and Neurosciences Popularization, Department of Neurobiology and Program of Neurosciences, Institute of Biology, Federal Fluminense University, Niterói 24020-141, Brazil; Department of Physiology and Pharmacology, Laboratory of Neurophysiology of Behavior, Biomedical Institute, Federal Fluminense University, Brazil
| | - Thalita Mázala-de-Oliveira
- NuPEDEN, Nucleus for Research, Education, Dissemination and Neurosciences Popularization, Department of Neurobiology and Program of Neurosciences, Institute of Biology, Federal Fluminense University, Niterói 24020-141, Brazil
| | - Luana da Silva Chagas
- NuPEDEN, Nucleus for Research, Education, Dissemination and Neurosciences Popularization, Department of Neurobiology and Program of Neurosciences, Institute of Biology, Federal Fluminense University, Niterói 24020-141, Brazil; Department of Neurobiology and Program of Neurosciences, Institute of Biology, Federal Fluminense University, Niterói, 24020-141, Brazil
| | - Ícaro Raony
- Department of Neurobiology and Program of Neurosciences, Institute of Biology, Federal Fluminense University, Niterói, 24020-141, Brazil; School of Medicine, Federal Fluminense University, Niterói 24033-900, Brazil
| | - Elenn Soares Ferreira
- NuPEDEN, Nucleus for Research, Education, Dissemination and Neurosciences Popularization, Department of Neurobiology and Program of Neurosciences, Institute of Biology, Federal Fluminense University, Niterói 24020-141, Brazil
| | - Elizabeth Giestal-de-Araujo
- Department of Neurobiology and Program of Neurosciences, Institute of Biology, Federal Fluminense University, Niterói, 24020-141, Brazil; National Institute of Science and Technology on Neuroimmunomodulation - INCT-NIM, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro 21040-360, Brazil
| | - Aline Araujo Dos Santos
- Department of Physiology and Pharmacology, Laboratory of Neurochemical Interactions, Biomedical Institute, Federal Fluminense University, Brazil
| | - Priscilla Oliveira-Silva Bomfim
- NuPEDEN, Nucleus for Research, Education, Dissemination and Neurosciences Popularization, Department of Neurobiology and Program of Neurosciences, Institute of Biology, Federal Fluminense University, Niterói 24020-141, Brazil; Department of Neurobiology and Program of Neurosciences, Institute of Biology, Federal Fluminense University, Niterói, 24020-141, Brazil; National Institute of Science and Technology on Neuroimmunomodulation - INCT-NIM, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro 21040-360, Brazil; Rio de Janeiro Neuroinflammation Research Network, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro 21040-360, Brazil.
| |
Collapse
|
130
|
van Harmelen AL, Blakemore S, Goodyer IM, Kievit R. The interplay between adolescent friendship quality and resilient functioning following childhood and adolescent adversity. ADVERSITY AND RESILIENCE SCIENCE 2021; 2:37-50. [PMID: 37915317 PMCID: PMC7615274 DOI: 10.1007/s42844-020-00027-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 10/27/2020] [Indexed: 11/03/2023]
Abstract
Background Child and adolescent adversity ('CA') is a major predictor of mental health problems in adolescence and early adulthood. However, not all young people who have experienced CA develop psychopathology; their mental health functioning can be described as resilient. We previously found that resilient functioning in adolescence following CA is facilitated by adolescent friendships.However, during adolescence, friendships undergo significant change. It is unknown whether resilient functioning after CA fluctuates with these normative changes in friendship quality. Methods We used Latent Change Score Modelling in a large sample of adolescents (i.e. the ROOTS cohort; N=1238) to examine whether and how emergent friendship quality and resilient functioning at ages 14 and 17 inter-relate and change together. Results We found that friendships quality and resilient functioning had strong associations at age 14, although friendships at 14 did not predict higher resilient functioning at 17. Higher resilient functioning in 14-year-olds with a history of CA was associated with a positive change in friendships from age 14 to 17. Finally, improvements in friendship quality and resilient functioning went hand in hand, even when taking into account baseline levels of both, the change within friendship quality or resilient functioning over time, and the association between resilient functioning and change in friendship quality over time. Conclusions We show that friendship quality and resilient functioning after CA inter-relate and change together between ages 14 and 17. Our results suggest that improving friendship quality or resilient functioning within this timeframe may benefit this vulnerable adolescent group, and this should be tested in future research.
Collapse
Affiliation(s)
- A.-L. van Harmelen
- Education and Child Studies, Leiden University, The Netherlands
- Department of Psychiatry, University of Cambridge, UK
| | - S.J. Blakemore
- Department of Psychology, University of Cambridge, UK
- UCL Institute of Cognitive Neuroscience, London, UK
| | - IM Goodyer
- Department of Psychiatry, University of Cambridge, UK
| | - R.A. Kievit
- Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour
- MRC Cognition and Brain Sciences Unit, University of Cambridge, UK
| |
Collapse
|
131
|
Mind the brain gap: The worldwide distribution of neuroimaging research on adolescent depression. Neuroimage 2021; 231:117865. [PMID: 33592242 PMCID: PMC8328473 DOI: 10.1016/j.neuroimage.2021.117865] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 11/25/2020] [Accepted: 02/09/2021] [Indexed: 12/26/2022] Open
Abstract
Adolescents comprise one fourth of the world’s population, with about 90% of them living in low- and middle-income countries (LMICs). The incidence of depression markedly increases during adolescence, making the disorder a leading cause of disease-related disability in this age group. However, most research on adolescent depression has been performed in high-income countries (HICs). To ascertain the extent to which this disparity operates in neuroimaging research, a systematic review of the literature was performed. A total of 148 studies were identified, with neuroimaging data available for 4,729 adolescents with depression. When stratified by income group, 122 (82%) studies originated from HICs, while 26 (18%) were conducted in LMICs, for a total of 3,705 and 1,024 adolescents with depression respectively. A positive Spearman rank correlation was observed between country per capita income and sample size (rs =0.673, p = 0.023). Our results support the previous reports showing a large disparity between the number of studies and the adolescent population per world region. Future research comparing neuroimaging findings across populations from HICs and LMICs may provide unique insights to enhance our understanding of the neurobiological processes underlying the development of depression.
Collapse
|
132
|
Leong JK, Ho TC, Colich NL, Sisk L, Knutson B, Gotlib IH. White-matter tract connecting anterior insula to nucleus accumbens predicts greater future motivation in adolescents. Dev Cogn Neurosci 2021; 47:100881. [PMID: 33373886 PMCID: PMC7776926 DOI: 10.1016/j.dcn.2020.100881] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 09/22/2020] [Accepted: 11/03/2020] [Indexed: 11/30/2022] Open
Abstract
The motivation to approach or avoid incentives can change during adolescence. Advances in neuroimaging allow researchers to characterize specific brain circuits that underlie these developmental changes. Whereas activity in the nucleus accumbens (NAcc) can predict approach toward incentive gain, activity in anterior insula (AIns) is associated with avoidance of incentive loss. Recent research characterized the structural white-matter tract connecting the two brain regions, but the tract has neither been characterized in adolescence nor linked to functional activity during incentive anticipation. In this study, we collected diffusion MRI and characterized the tract connecting the AIns to the NAcc for the first time in early adolescents. We then measured NAcc functional activity during a monetary incentive delay task and found that structural coherence of the AIns-NAcc tract is correlated with decreased functional activity at the NAcc terminal of the tract during anticipation of no incentives. In adolescents who completed an assessment 2 years later, we found that AIns-NAcc tract coherence could predict greater future self-reported motivation, and that NAcc functional activity could statistically mediate this association. Together, the findings establish links from brain structure to function to future motivation and provide targets to study the reciprocal development of brain structure and function.
Collapse
Affiliation(s)
- Josiah K Leong
- University of Arkansas, Department of Psychological Science, Fayetteville, AR, United States; Indiana University, Department of Psychological and Brain Sciences, Bloomington, IN, United States.
| | - Tiffany C Ho
- Stanford University, Department of Psychology, Stanford, CA, United States; University of California, San Francisco, Department of Psychology & Weill Institute for Neurosciences, San Francisco, CA, United States
| | - Natalie L Colich
- University of Washington, Department of Psychology, Seattle, WA, United States
| | - Lucinda Sisk
- Yale University, Department of Psychology, New Haven, CT, United States
| | - Brian Knutson
- Stanford University, Department of Psychology, Stanford, CA, United States; Stanford University, Wu Tsai Neurosciences Institute, Stanford, CA, United States
| | - Ian H Gotlib
- Stanford University, Department of Psychology, Stanford, CA, United States; Stanford University, Wu Tsai Neurosciences Institute, Stanford, CA, United States
| |
Collapse
|
133
|
Cisler JM, Herringa RJ. Posttraumatic Stress Disorder and the Developing Adolescent Brain. Biol Psychiatry 2021; 89:144-151. [PMID: 32709416 PMCID: PMC7725977 DOI: 10.1016/j.biopsych.2020.06.001] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 05/30/2020] [Accepted: 06/01/2020] [Indexed: 02/07/2023]
Abstract
Posttraumatic stress disorder (PTSD) in adolescents is common and debilitating. In contrast to adult PTSD, relatively little is known about the neurobiology of adolescent PTSD, nor about how current treatments may alter adolescent neurodevelopment to allow recovery from PTSD. Improving our understanding of biological mechanisms of adolescent PTSD, taken in the context of neurodevelopment, is crucial for developing novel and personalized treatment approaches. In this review, we highlight prevailing constructs of PTSD and current findings on these domains in adolescent PTSD. Notably, little data exist in adolescent PTSD for prominent adult PTSD constructs, including threat learning and attentional threat bias. Most work to date has examined general threat processing, emotion regulation, and their neural substrates. These studies suggest that adolescent PTSD, while phenomenologically similar to adult PTSD, shows unique neurodevelopmental substrates that may impair recovery but could also be targeted in the context of adolescent neuroplasticity to improve outcomes. Both cross-sectional and longitudinal data suggest abnormal frontolimbic development compared with typically developing youths, a pattern that may differ from resilient youths. Whether current treatments such as trauma-focused psychotherapy engage these targets and restore healthy neurodevelopment remains an open question. We end our review by highlighting emerging areas and knowledge gaps that could be addressed to better characterize the biology underlying adolescent PTSD. Emerging studies in computational modeling of decision making, caregiver-related transmission of traumatic stress, and other areas may offer new targets that could harness adolescent neurobehavioral plasticity to improve resilience and recovery for some of our most vulnerable youths.
Collapse
|
134
|
Andrews JL, Ahmed SP, Blakemore SJ. Navigating the Social Environment in Adolescence: The Role of Social Brain Development. Biol Psychiatry 2021; 89:109-118. [PMID: 33190844 DOI: 10.1016/j.biopsych.2020.09.012] [Citation(s) in RCA: 95] [Impact Index Per Article: 31.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 09/04/2020] [Accepted: 09/14/2020] [Indexed: 12/29/2022]
Abstract
Successful navigation of the social environment is dependent on a number of social cognitive processes, including mentalizing and resistance to peer influence. These processes continue to develop during adolescence, a time of significant social change, and are underpinned by regions of the social brain that continue to mature structurally and functionally into adulthood. In this review, we describe how mentalizing, peer influence, and emotion regulation capacities develop to aid the navigation of the social environment during adolescence. Heightened susceptibility to peer influence and hypersensitivity to social rejection in adolescence increase the likelihood of both risky and prosocial behavior in the presence of peers. Developmental differences in mentalizing and emotion regulation, and the corticosubcortical circuits that underpin these processes, might put adolescents at risk for developing mental health problems. We suggest how interventions aimed at improving prosocial behavior and emotion regulation abilities hold promise in reducing the risk of poor mental health as adolescents navigate the changes in their social environment.
Collapse
Affiliation(s)
- Jack L Andrews
- Institute of Cognitive Neuroscience, University College London, London, United Kingdom
| | - Saz P Ahmed
- Institute of Cognitive Neuroscience, University College London, London, United Kingdom
| | - Sarah-Jayne Blakemore
- Institute of Cognitive Neuroscience, University College London, London, United Kingdom; Department of Psychology, University of Cambridge, Cambridge, United Kingdom.
| |
Collapse
|
135
|
Levine SM, Schwarzbach JV. Individualizing Representational Similarity Analysis. Front Psychiatry 2021; 12:729457. [PMID: 34707520 PMCID: PMC8542717 DOI: 10.3389/fpsyt.2021.729457] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 09/10/2021] [Indexed: 11/13/2022] Open
Abstract
Representational similarity analysis (RSA) is a popular multivariate analysis technique in cognitive neuroscience that uses functional neuroimaging to investigate the informational content encoded in brain activity. As RSA is increasingly being used to investigate more clinically-geared questions, the focus of such translational studies turns toward the importance of individual differences and their optimization within the experimental design. In this perspective, we focus on two design aspects: applying individual vs. averaged behavioral dissimilarity matrices to multiple participants' neuroimaging data and ensuring the congruency between tasks when measuring behavioral and neural representational spaces. Incorporating these methods permits the detection of individual differences in representational spaces and yields a better-defined transfer of information from representational spaces onto multivoxel patterns. Such design adaptations are prerequisites for optimal translation of RSA to the field of precision psychiatry.
Collapse
Affiliation(s)
- Seth M Levine
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Jens V Schwarzbach
- Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany
| |
Collapse
|
136
|
Lv Q, Yan M, Shen X, Wu J, Yu W, Yan S, Yang F, Zeljic K, Shi Y, Zhou Z, Lv L, Hu X, Menon R, Wang Z. Normative Analysis of Individual Brain Differences Based on a Population MRI-Based Atlas of Cynomolgus Macaques. Cereb Cortex 2021; 31:341-355. [PMID: 32844170 PMCID: PMC7727342 DOI: 10.1093/cercor/bhaa229] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 07/05/2020] [Accepted: 07/27/2020] [Indexed: 01/09/2023] Open
Abstract
The developmental trajectory of the primate brain varies substantially with aging across subjects. However, this ubiquitous variability between individuals in brain structure is difficult to quantify and has thus essentially been ignored. Based on a large-scale structural magnetic resonance imaging dataset acquired from 162 cynomolgus macaques, we create a species-specific 3D template atlas of the macaque brain, and deploy normative modeling to characterize individual variations of cortical thickness (CT) and regional gray matter volume (GMV). We observed an overall decrease in total GMV and mean CT, and an increase in white matter volume from juvenile to early adult. Specifically, CT and regional GMV were greater in prefrontal and temporal cortices relative to early unimodal areas. Age-dependent trajectories of thickness and volume for each cortical region revealed an increase in the medial temporal lobe, and decreases in all other regions. A low percentage of highly individualized deviations of CT and GMV were identified (0.0021%, 0.0043%, respectively, P < 0.05, false discovery rate [FDR]-corrected). Our approach provides a natural framework to parse individual neuroanatomical differences for use as a reference standard in macaque brain research, potentially enabling inferences regarding the degree to which behavioral or symptomatic variables map onto brain structure in future disease studies.
Collapse
Affiliation(s)
- Qiming Lv
- National Resource Center for Non-human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- University of Chinese Academy of Sciences, Beijing, China
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, CAS Key Laboratory of Primate Neurobiology, Chinese Academy of Sciences, Shanghai, China
| | - Mingchao Yan
- University of Chinese Academy of Sciences, Beijing, China
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, CAS Key Laboratory of Primate Neurobiology, Chinese Academy of Sciences, Shanghai, China
| | - Xiangyu Shen
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, CAS Key Laboratory of Primate Neurobiology, Chinese Academy of Sciences, Shanghai, China
| | - Jing Wu
- National Resource Center for Non-human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Wenwen Yu
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, CAS Key Laboratory of Primate Neurobiology, Chinese Academy of Sciences, Shanghai, China
| | - Shengyao Yan
- University of Chinese Academy of Sciences, Beijing, China
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, CAS Key Laboratory of Primate Neurobiology, Chinese Academy of Sciences, Shanghai, China
| | - Feng Yang
- University of Chinese Academy of Sciences, Beijing, China
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, CAS Key Laboratory of Primate Neurobiology, Chinese Academy of Sciences, Shanghai, China
| | - Kristina Zeljic
- University of Chinese Academy of Sciences, Beijing, China
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, CAS Key Laboratory of Primate Neurobiology, Chinese Academy of Sciences, Shanghai, China
| | - Yuequan Shi
- Department of Radiology, Fujian Provincial Maternity and Children’s Hospital of Fujian Medical University, Fuzhou, Fujian, China
| | - Zuofu Zhou
- Department of Radiology, Fujian Provincial Maternity and Children’s Hospital of Fujian Medical University, Fuzhou, Fujian, China
| | - Longbao Lv
- National Resource Center for Non-human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Xintian Hu
- National Resource Center for Non-human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Ravi Menon
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, Western University, London, Ontario, Canada
- Department of Medical Biophysics, Western University, London, Ontario, Canada
| | - Zheng Wang
- National Resource Center for Non-human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- University of Chinese Academy of Sciences, Beijing, China
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, CAS Key Laboratory of Primate Neurobiology, Chinese Academy of Sciences, Shanghai, China
- Shanghai Center for Brain Science and Brain-inspired Intelligence Technology, Shanghai, China
| |
Collapse
|
137
|
Gillespie SM, Kongerslev MT, Bo S, Abu-Akel AM. Schizotypy and psychopathic tendencies interactively improve misattribution of affect in boys with conduct problems. Eur Child Adolesc Psychiatry 2021; 30:885-897. [PMID: 32476073 PMCID: PMC8140966 DOI: 10.1007/s00787-020-01567-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Accepted: 05/25/2020] [Indexed: 11/26/2022]
Abstract
Psychopathic tendencies are associated with difficulties in affective theory of mind (ToM), that is, in recognizing others affective mental states. In clinical and non-clinical adult samples, it has been shown that where psychopathic tendencies co-occur with schizophrenia spectrum disorders, the impairing effects of psychopathic tendencies on ToM are attenuated. These effects are yet to be examined in adolescents. We examined if the impairing effect of psychopathic tendencies on affective ToM was attenuated with increasing severity of schizotypal personality disorder (PD) in a sample of 80 incarcerated adolescent boys. We showed that the impairing effect of psychopathic tendencies on the recognition of neutral mental states, but not positive or negative mental states, was evident when the relative severity of schizotypal PD was low. However, with higher scores on both measures, we observed better performance in judging neutral mental states. The preservation of affective ToM in adolescents who show elevations in psychopathic tendencies and schizotypal PD may enable them to manipulate and extort their victims for personal gain. Our results emphasize the need to consider comorbidity in clinical case formulation when working with adolescents with conduct problems and psychopathic tendencies. More broadly, our results also suggest that the pattern of social cognitive abilities associated with co-occurring psychopathology does not always conform to an often-theorized double-dose of deficit hypothesis.
Collapse
Affiliation(s)
- Steven M Gillespie
- Department of Psychological Sciences, University of Liverpool, Liverpool, L69 3GB, UK.
| | - Mickey T Kongerslev
- Department of Psychology, University of Southern Denmark, Odense, Denmark
- Psychiatric Research Unit, Region Zealand, Slagelse, Denmark
| | - Sune Bo
- Psychiatric Research Unit, Region Zealand, Slagelse, Denmark
- Department of Child and Adolescent Psychiatry, Region Zealand, Roskilde, Denmark
| | - Ahmad M Abu-Akel
- Institute of Psychology, University of Lausanne, Lausanne, Switzerland
- Department of Psychology, University of Haifa, Haifa, Israel
| |
Collapse
|
138
|
Wang H, Fan L, Song M, Liu B, Wu D, Jiang R, Li J, Li A, Banaschewski T, Bokde ALW, Quinlan EB, Desrivières S, Flor H, Grigis A, Garavan H, Chaarani B, Gowland P, Heinz A, Ittermann B, Martinot JL, Martinot MLP, Artiges E, Nees F, Orfanos DP, Poustka L, Millenet S, Fröhner JH, Smolka MN, Walter H, Whelan R, Schumann G, Jiang T. Functional Connectivity Predicts Individual Development of Inhibitory Control during Adolescence. Cereb Cortex 2020; 31:2686-2700. [PMID: 33386409 DOI: 10.1093/cercor/bhaa383] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Derailment of inhibitory control (IC) underlies numerous psychiatric and behavioral disorders, many of which emerge during adolescence. Identifying reliable predictive biomarkers that place the adolescents at elevated risk for future IC deficits can help guide early interventions, yet the scarcity of longitudinal research has hindered the progress. Here, using a large-scale longitudinal dataset in which the same subjects performed a stop signal task during functional magnetic resonance imaging at ages 14 and 19, we tracked their IC development individually and tried to find the brain features predicting their development by constructing prediction models using 14-year-olds' functional connections within a network or between a pair of networks. The participants had distinct between-subject trajectories in their IC development. Of the candidate connections used for prediction, ventral attention-subcortical network interconnections could predict the individual development of IC and formed a prediction model that generalized to previously unseen individuals. Furthermore, we found that connectivity between these two networks was related to substance abuse problems, an IC-deficit related problematic behavior, within 5 years. Our study reveals individual differences in IC development from mid- to late-adolescence and highlights the importance of ventral attention-subcortical network interconnections in predicting future IC development and substance abuse in adolescents.
Collapse
Affiliation(s)
- Haiyan Wang
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Lingzhong Fan
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ming Song
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Bing Liu
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Dongya Wu
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Rongtao Jiang
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jin Li
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Ang Li
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin 2, Ireland
| | - Erin Burke Quinlan
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King's College London, London SE5 8AF, United Kingdom
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King's College London, London SE5 8AF, United Kingdom
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany.,Department of Psychology, School of Social Sciences, University of Mannheim, 68131 Mannheim, Germany
| | - Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, 05405 Burlington, VT, USA
| | - Bader Chaarani
- Departments of Psychiatry and Psychology, University of Vermont, 05405 Burlington, VT, USA
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Bernd Ittermann
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, 10587 Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging & Psychiatry", University Paris Sud-University Paris Saclay, DIGITEO Labs, Rue Noetzlin, 91190 Gif sur Yvette, France
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging & Psychiatry", University Paris Sud, University Paris Descartes; and AP-HP.Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, 75013, Paris, France
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging & Psychiatry", University Paris Sud-University Paris Saclay, DIGITEO Labs, Gif sur Yvette; and Psychiatry Department 91G16, Orsay Hospital, Orsay, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany.,Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany
| | | | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, 37075 Göttingen, Germany
| | - Sabina Millenet
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany
| | - Juliane H Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Chemnitzer Str. 46a01187, Dresden, Germany
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Chemnitzer Str. 46a01187, Dresden, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin 2, Ireland
| | - Gunter Schumann
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King's College London, London SE5 8AF, United Kingdom.,PONS Research Group, Department of Psychiatry and Psychotherapy, Campus Charite Mitte, Humboldt University, 10117 Berlin, Germany.,Leibniz Institute for Neurobiology, 39118 Magdeburg, Germany.,Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai 200433, China
| | - Tianzi Jiang
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 625014, China.,The Queensland Brain Institute, University of Queensland, Brisbane, Queensland 4072, Australia
| |
Collapse
|
139
|
Fan Y, Li L, Peng Y, Li H, Guo J, Li M, Yang S, Yao M, Zhao J, Liu H, Liao W, Guo X, Han S, Cui Q, Duan X, Xu Y, Zhang Y, Chen H. Individual-specific functional connectome biomarkers predict schizophrenia positive symptoms during adolescent brain maturation. Hum Brain Mapp 2020; 42:1475-1484. [PMID: 33289223 PMCID: PMC7927287 DOI: 10.1002/hbm.25307] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 11/09/2020] [Accepted: 11/23/2020] [Indexed: 11/06/2022] Open
Abstract
Even with an overarching functional dysconnectivity model of adolescent-onset schizophrenia (AOS), there have been no functional connectome (FC) biomarkers identified for predicting patients' specific symptom domains. Adolescence is a period of dramatic brain maturation, with substantial interindividual variability in brain anatomy. However, existing group-level hypotheses of AOS lack precision in terms of neuroanatomical boundaries. This study aimed to identify individual-specific FC biomarkers associated with schizophrenic symptom manifestation during adolescent brain maturation. We used a reliable individual-level cortical parcellation approach to map functional brain regions in each subject, that were then used to identify FC biomarkers for predicting dimension-specific psychotic symptoms in 30 antipsychotic-naïve first-episode AOS patients (recruited sample of 39). Age-related changes in biomarker expression were compared between these patients and 31 healthy controls. Moreover, 29 antipsychotic-naïve first-episode AOS patients (analyzed sample of 25) were recruited from another center to test the generalizability of the prediction model. Individual-specific FC biomarkers could significantly and better predict AOS positive-dimension symptoms with a relatively stronger generalizability than at the group level. Specifically, positive symptom domains were estimated based on connections between the frontoparietal control network (FPN) and salience network and within FPN. Consistent with the neurodevelopmental hypothesis of schizophrenia, the FPN-SN connection exhibited aberrant age-associated alteration in AOS. The individual-level findings reveal reproducible FPN-based FC biomarkers associated with AOS positive symptom domains, and highlight the importance of accounting for individual variation in the study of adolescent-onset disorders.
Collapse
Affiliation(s)
- Yun‐Shuang Fan
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of life Science and technologyUniversity of Electronic Science and Technology of ChinaChengduChina
| | - Liang Li
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of life Science and technologyUniversity of Electronic Science and Technology of ChinaChengduChina
| | - Yue Peng
- Department of PsychiatryThe Second Affiliated Hospital of Xinxiang Medical UniversityXinxiangChina
| | - Haoru Li
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of life Science and technologyUniversity of Electronic Science and Technology of ChinaChengduChina
| | - Jing Guo
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of life Science and technologyUniversity of Electronic Science and Technology of ChinaChengduChina
| | - Meiling Li
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of life Science and technologyUniversity of Electronic Science and Technology of ChinaChengduChina
- Athinoula A. Martinos Center for Biomedical Imaging, Department of RadiologyMassachusetts General Hospital, Harvard Medical SchoolCharlestownMassachusettsUSA
| | - Siqi Yang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of life Science and technologyUniversity of Electronic Science and Technology of ChinaChengduChina
| | - Meng Yao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of life Science and technologyUniversity of Electronic Science and Technology of ChinaChengduChina
| | - Jingping Zhao
- Institute of Mental HealthThe Second Xiangya Hospital, Central South UniversityChangshaChina
| | - Hesheng Liu
- Athinoula A. Martinos Center for Biomedical Imaging, Department of RadiologyMassachusetts General Hospital, Harvard Medical SchoolCharlestownMassachusettsUSA
| | - Wei Liao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of life Science and technologyUniversity of Electronic Science and Technology of ChinaChengduChina
| | - Xiaonan Guo
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of life Science and technologyUniversity of Electronic Science and Technology of ChinaChengduChina
| | - Shaoqiang Han
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of life Science and technologyUniversity of Electronic Science and Technology of ChinaChengduChina
| | - Qian Cui
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of life Science and technologyUniversity of Electronic Science and Technology of ChinaChengduChina
| | - Xujun Duan
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of life Science and technologyUniversity of Electronic Science and Technology of ChinaChengduChina
| | - Yong Xu
- Department of PsychiatryFirst Hospital/First Clinical Medical College of Shanxi Medical UniversityTaiyuanChina
| | - Yan Zhang
- Department of PsychiatryThe Second Affiliated Hospital of Xinxiang Medical UniversityXinxiangChina
| | - Huafu Chen
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of life Science and technologyUniversity of Electronic Science and Technology of ChinaChengduChina
| |
Collapse
|
140
|
Jamieson D, Schwenn P, Beaudequin DA, Shan Z, McLoughlin LT, Lagopoulos J, Hermens DF. Short strides to important findings: A short interval longitudinal study of sleep quality, psychological distress and microstructure changes to the uncinate fasciculus in early adolescents. Int J Dev Neurosci 2020; 81:82-90. [PMID: 33220070 DOI: 10.1002/jdn.10077] [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: 07/03/2020] [Revised: 08/20/2020] [Accepted: 11/17/2020] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND Developmental studies have shown adolescence is a period of ongoing white matter (WM) development, reduced sleep quality and the onset of many mental disorders. Findings indicate the WM development of the uncinate fasciculus (UF), a WM tract suggested to play a key role in mental disorders, continues throughout adolescence. While these studies provide valuable information, they are limited by long intervals between scans (1 to 4 years) leaving researchers and clinicians to infer what may be occurring between time-points. To allow inferences to be made regarding the impact that sleep quality may be having on WM development, longitudinal studies with much shorter between-scan intervals are required. METHODS The current study reports longitudinal data of self-reported sleep quality (PSQI), diffusion tensor imaging (DTI) measures of WM development and psychological distress (K10) for n = 64 early adolescents spanning the first twelve months (four time-points; Baseline, 4, 8, & 12 months) of the Longitudinal Adolescent Brain Study (LABS) study currently underway at the Thompson Institute. RESULTS Generalised Estimating Equation analysis showed a significant relationship between sleep quality and psychological distress over the four time-points. Reduced radial diffusivity and increased fractional anisotropy of the UF is also reported with increasing age suggesting that ongoing myelination is occurring. Adding sleep quality to the model, however, negatively impacted this myelination process. CONCLUSION These findings represent an important step towards elucidating how sleep, psychological distress and maturation of the UF may co-develop during early adolescence.
Collapse
Affiliation(s)
- Daniel Jamieson
- Thompson Institute, University of the Sunshine Coast, Birtinya, QLD, Australia
| | - Paul Schwenn
- Thompson Institute, University of the Sunshine Coast, Birtinya, QLD, Australia
| | - Denise A Beaudequin
- Thompson Institute, University of the Sunshine Coast, Birtinya, QLD, Australia
| | - Zack Shan
- Thompson Institute, University of the Sunshine Coast, Birtinya, QLD, Australia
| | - Larisa T McLoughlin
- Thompson Institute, University of the Sunshine Coast, Birtinya, QLD, Australia
| | - Jim Lagopoulos
- Thompson Institute, University of the Sunshine Coast, Birtinya, QLD, Australia
| | - Daniel F Hermens
- Thompson Institute, University of the Sunshine Coast, Birtinya, QLD, Australia
| |
Collapse
|
141
|
Becht AI, Klapwijk ET, Wierenga LM, van der Cruijsen R, Spaans J, van der Aar L, Peters S, Branje S, Meeus W, Crone EA. Longitudinal associations between structural prefrontal cortex and nucleus accumbens development and daily identity formation processes across adolescence. Dev Cogn Neurosci 2020; 46:100880. [PMID: 33202352 PMCID: PMC7677671 DOI: 10.1016/j.dcn.2020.100880] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 11/05/2020] [Accepted: 11/06/2020] [Indexed: 11/28/2022] Open
Abstract
We tested whether adolescents with daily high identity uncertainty showed differential structural brain development across adolescence and young adulthood. Participants (N = 150, MageT1 15.92 years) were followed across three waves, covering 4 years. Self-reported daily educational identity and structural brain data of lateral prefrontal cortex (lPFC)/anterior cingulate cortex (ACC), medial PFC, and nucleus accumbens (NAcc) was collected across three waves. All hypotheses were pre-registered. Latent class growth analyses confirmed 2 identity subgroups: an identity synthesis class (characterized by strong commitments, and low uncertainty), and an identity moratorium class (high daily identity uncertainty). Latent growth curve models revealed, on average, delayed maturation of the lateral PFC/ACC and medial PFC and stable NAcc. Yet, adolescents in identity moratorium showed lower levels and less decline in NAcc gray matter volume. Lateral PFC/ACC and medial PFC trajectories did not differ between identity subgroups. Exploratory analyses revealed that adolescents with higher baseline levels and delayed maturation of lateral PFC/ACC and medial PFC gray matter volume, surface area, and cortical thickness reported higher baseline levels and stronger increases of in-depth exploration. These results provide insight into how individual differences in brain development relate to fluctuations in educational identity development across adolescence and young adulthood.
Collapse
Affiliation(s)
- Andrik I Becht
- Erasmus School of Social and Behavioural Sciences, Erasmus University Rotterdam, The Netherlands; Research Center Adolescent Development, Utrecht University, The Netherlands; Brain and Development Research Center, Leiden University, The Netherlands.
| | - Eduard T Klapwijk
- Erasmus School of Social and Behavioural Sciences, Erasmus University Rotterdam, The Netherlands; Brain and Development Research Center, Leiden University, The Netherlands
| | - Lara M Wierenga
- Brain and Development Research Center, Leiden University, The Netherlands
| | - Renske van der Cruijsen
- Erasmus School of Social and Behavioural Sciences, Erasmus University Rotterdam, The Netherlands
| | - Jochem Spaans
- Erasmus School of Social and Behavioural Sciences, Erasmus University Rotterdam, The Netherlands
| | - Laura van der Aar
- Erasmus School of Social and Behavioural Sciences, Erasmus University Rotterdam, The Netherlands
| | - Sabine Peters
- Brain and Development Research Center, Leiden University, The Netherlands
| | - Susan Branje
- Research Center Adolescent Development, Utrecht University, The Netherlands
| | - Wim Meeus
- Research Center Adolescent Development, Utrecht University, The Netherlands
| | - Eveline A Crone
- Erasmus School of Social and Behavioural Sciences, Erasmus University Rotterdam, The Netherlands; Brain and Development Research Center, Leiden University, The Netherlands
| |
Collapse
|
142
|
Tisdall L, Frey R, Horn A, Ostwald D, Horvath L, Pedroni A, Rieskamp J, Blankenburg F, Hertwig R, Mata R. Brain-Behavior Associations for Risk Taking Depend on the Measures Used to Capture Individual Differences. Front Behav Neurosci 2020; 14:587152. [PMID: 33281576 PMCID: PMC7705248 DOI: 10.3389/fnbeh.2020.587152] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2020] [Accepted: 10/06/2020] [Indexed: 11/13/2022] Open
Abstract
Maladaptive risk taking can have severe individual and societal consequences; thus, individual differences are prominent targets for intervention and prevention. Although brain activation has been shown to be associated with individual differences in risk taking, the directionality of the reported brain-behavior associations is less clear. Here, we argue that one aspect contributing to the mixed results is the low convergence between risk-taking measures, especially between the behavioral tasks used to elicit neural functional markers. To address this question, we analyzed within-participant neuroimaging data for two widely used risk-taking tasks collected from the imaging subsample of the Basel-Berlin Risk Study (N = 116 young human adults). Focusing on core brain regions implicated in risk taking (nucleus accumbens, anterior insula, and anterior cingulate cortex), for the two tasks, we examined group-level activation for risky versus safe choices, as well as associations between local functional markers and various risk-related outcomes, including psychometrically derived risk preference factors. While we observed common group-level activation in the two tasks (notably increased nucleus accumbens activation), individual differences analyses support the idea that the presence and directionality of associations between brain activation and risk taking varies as a function of the risk-taking measures used to capture individual differences. Our results have methodological implications for the use of brain markers for intervention or prevention.
Collapse
Affiliation(s)
- Loreen Tisdall
- Center for Cognitive and Decision Sciences, Faculty of Psychology, University of Basel, Basel, Switzerland
- Faculty of Psychology, Stanford University, Stanford, CA, United States
| | - Renato Frey
- Center for Cognitive and Decision Sciences, Faculty of Psychology, University of Basel, Basel, Switzerland
- Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany
| | - Andreas Horn
- Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany
- Movement Disorders and Neuromodulation Section, Charité – University Medicine Berlin, Berlin, Germany
| | - Dirk Ostwald
- Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany
- Computational Cognitive Neuroscience, Free University of Berlin, Berlin, Germany
| | - Lilla Horvath
- Computational Cognitive Neuroscience, Free University of Berlin, Berlin, Germany
| | - Andreas Pedroni
- Methods of Plasticity Research, University of Zurich, Zurich, Switzerland
| | - Jörg Rieskamp
- Center for Economic Psychology, University of Basel, Basel, Switzerland
| | - Felix Blankenburg
- Neurocomputation and Neuroimaging, Free University Berlin, Berlin, Germany
| | - Ralph Hertwig
- Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany
| | - Rui Mata
- Center for Cognitive and Decision Sciences, Faculty of Psychology, University of Basel, Basel, Switzerland
- Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany
| |
Collapse
|
143
|
Mapping neural activity patterns to contextualized fearful facial expressions onto callous-unemotional (CU) traits: intersubject representational similarity analysis reveals less variation among high-CU adolescents. PERSONALITY NEUROSCIENCE 2020; 3:e12. [PMID: 33283146 PMCID: PMC7681174 DOI: 10.1017/pen.2020.13] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Revised: 07/20/2020] [Accepted: 08/10/2020] [Indexed: 12/15/2022]
Abstract
Callous-unemotional (CU) traits are early-emerging personality features characterized by deficits in empathy, concern for others, and remorse following social transgressions. One of the interpersonal deficits most consistently associated with CU traits is impaired behavioral and neurophysiological responsiveness to fearful facial expressions. However, the facial expression paradigms traditionally employed in neuroimaging are often ambiguous with respect to the nature of threat (i.e., is the perceiver the threat, or is something else in the environment?). In the present study, 30 adolescents with varying CU traits viewed fearful facial expressions cued to three different contexts ("afraid for you," "afraid of you," "afraid for self") while undergoing functional magnetic resonance imaging (fMRI). Univariate analyses found that mean right amygdala activity during the "afraid for self" context was negatively associated with CU traits. With the goal of disentangling idiosyncratic stimulus-driven neural responses, we employed intersubject representational similarity analysis to link intersubject similarities in multivoxel neural response patterns to contextualized fearful expressions with differential intersubject models of CU traits. Among low-CU adolescents, neural response patterns while viewing fearful faces were most consistently similar early in the visual processing stream and among regions implicated in affective responding, but were more idiosyncratic as emotional face information moved up the cortical processing hierarchy. By contrast, high-CU adolescents' neural response patterns consistently aligned along the entire cortical hierarchy (but diverged among low-CU youths). Observed patterns varied across contexts, suggesting that interpretations of fearful expressions depend to an extent on neural response patterns and are further shaped by levels of CU traits.
Collapse
|
144
|
Blanco C, Ali MM, Beswick A, Drexler K, Hoffman C, Jones CM, Wiley TRA, Coukell A. The American Opioid Epidemic in Special Populations: Five Examples. NAM Perspect 2020; 2020:202010b. [PMID: 35291746 PMCID: PMC8916817 DOI: 10.31478/202010b] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
| | - Mir M Ali
- Office of the Assistant Secretary of Planning and Evaluation
| | - Aaron Beswick
- Health Resources and Services Administration, Federal Office of Rural Health Policy
| | | | - Cheri Hoffman
- Office of the Assistant Secretary for Planning and Evaluation
| | | | | | | |
Collapse
|
145
|
Ghribi O, Li G, Lin W, Shen D, Rekik I. Multi-Regression based supervised sample selection for predicting baby connectome evolution trajectory from neonatal timepoint. Med Image Anal 2020; 68:101853. [PMID: 33264713 DOI: 10.1016/j.media.2020.101853] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Revised: 07/27/2020] [Accepted: 09/14/2020] [Indexed: 01/06/2023]
Abstract
The connectional map of the baby brain undergoes dramatic changes over the first year of postnatal development, which makes its mapping a challenging task, let alone learning how to predict its evolution. Currently, learning models for predicting brain connectomic developmental trajectories remain broadly absent despite their great potential in spotting atypical neurodevelopmental disorders early. This is most likely due to the scarcity and often incompleteness of longitudinal infant neuroimaging studies for training such models. In this paper, we propose the first approach for progressively predicting longitudinal development of brain networks during the postnatal period solely from a baseline connectome around birth. To this end, a supervised multi-regression sample selection strategy is designed to learn how to identify the best set of neighbors of a testing baseline connectome to eventually predict its evolution trajectory at follow-up timepoints. However, given that the training dataset may have missing samples (connectomes) at certain timepoints, this may affect the training of the predictive model. To overcome this problem, we perform a low-rank tensor completion based on a robust principal component analysis to impute the missing training connectomes by linearly approximating similar complete training networks. In the prediction step, our sample selection strategy aims to preserve spatiotemporal relationships between consecutive timepoints. Therefore, the proposed method learns how to identify the set of the local closest neighbors to a target network by training an ensemble of bidirectional regressors leveraging temporal dependency between consecutive timepoints with a recall to the baseline observations to progressively predict the evolution of a testing network over time. Our method achieves the best prediction results and better captures the dynamic changes of each brain connectome over time in comparison to its ablated versions using leave-one-out cross-validation strategy.
Collapse
Affiliation(s)
- Olfa Ghribi
- BASIRA lab, Faculty of Computer and Informatics, Istanbul Technical University, Istanbul, Turkey; National School of Engineers of Sfax, University of Sfax, Tunisia
| | - Gang Li
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, NC, USA
| | - Weili Lin
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, NC, USA
| | - Dinggang Shen
- Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China; Department of Brain and Cognitive Engineering, Korea University, Seoul 02841, Republic of Korea.
| | - Islem Rekik
- BASIRA lab, Faculty of Computer and Informatics, Istanbul Technical University, Istanbul, Turkey; School of Science and Engineering, Computing, University of Dundee, UK.
| |
Collapse
|
146
|
Cserbik D, Chen JC, McConnell R, Berhane K, Sowell ER, Schwartz J, Hackman DA, Kan E, Fan CC, Herting MM. Fine particulate matter exposure during childhood relates to hemispheric-specific differences in brain structure. ENVIRONMENT INTERNATIONAL 2020; 143:105933. [PMID: 32659528 PMCID: PMC7708513 DOI: 10.1016/j.envint.2020.105933] [Citation(s) in RCA: 65] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Revised: 06/23/2020] [Accepted: 06/26/2020] [Indexed: 05/21/2023]
Abstract
BACKGROUND Emerging findings have increased concern that exposure to fine particulate matter air pollution (aerodynamic diameter ≤ 2.5 μm; PM2.5) may be neurotoxic, even at lower levels of exposure. Yet, additional studies are needed to determine if exposure to current PM2.5 levels may be linked to hemispheric and regional patterns of brain development in children across the United States. OBJECTIVES We examined the cross-sectional associations between geocoded measures of concurrent annual average outdoor PM2.5 exposure, regional- and hemisphere-specific differences in brain morphometry and cognition in 10,343 9- and 10- year-old children. METHODS High-resolution structural T1-weighted brain magnetic resonance imaging (MRI) and NIH Toolbox measures of cognition were collected from children at ages 9-10 years. FreeSurfer was used to quantify cortical surface area, cortical thickness, as well as subcortical and cerebellum volumes in each hemisphere. PM2.5 concentrations were estimated using an ensemble-based model approach and assigned to each child's primary residential address collected at the study visit. We used mixed-effects models to examine regional- and hemispheric- effects of PM2.5 exposure on brain estimates and cognition after considering nesting of participants by familial relationships and study site, adjustment for socio-demographic factors and multiple comparisons. RESULTS Annual residential PM2.5 exposure (7.63 ± 1.57 µg/m3) was associated with hemispheric specific differences in gray matter across cortical regions of the frontal, parietal, temporal and occipital lobes as well as subcortical and cerebellum brain regions. There were hemispheric-specific associations between PM2.5 exposures and cortical surface area in 9/31 regions; cortical thickness in 22/27 regions; and volumes of the thalamus, pallidum, and nucleus accumbens. We found neither significant associations between PM2.5 and task performance on individual measures of neurocognition nor evidence that sex moderated the observed associations. DISCUSSION Even at relatively low-levels, current PM2.5 exposure across the U.S. may be an important environmental factor influencing patterns of structural brain development in childhood. Prospective follow-up of this cohort will help determine how current levels of PM2.5 exposure may affect brain development and subsequent risk for cognitive and emotional problems across adolescence.
Collapse
Affiliation(s)
- Dora Cserbik
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, Los Angeles, CA 90063, USA
| | - Jiu-Chiuan Chen
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, Los Angeles, CA 90063, USA; Department of Neurology, Keck School of Medicine of University of Southern California, Los Angeles, CA 90063, USA
| | - Rob McConnell
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, Los Angeles, CA 90063, USA
| | - Kiros Berhane
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY 10032, USA
| | - Elizabeth R Sowell
- Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Children's Hospital Los Angeles, Los Angeles, CA 90027, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Daniel A Hackman
- USC Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA 90089, USA
| | - Eric Kan
- Children's Hospital Los Angeles, Los Angeles, CA 90027, USA
| | - Chun C Fan
- Center for Human Development, University of California, San Diego, La Jolla, CA 92093, USA
| | - Megan M Herting
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, Los Angeles, CA 90063, USA; Children's Hospital Los Angeles, Los Angeles, CA 90027, USA.
| |
Collapse
|
147
|
Joshi D, Dyson J, Hudson M, Levitsky J, Heldman M, Samyn M. Paediatric to adult liver transition services: the state of play in the UK. Clin Med (Lond) 2020; 19:425-426. [PMID: 31530699 DOI: 10.7861/clinmed.2019-0172] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Deepak Joshi
- King's College Hospital NHS Foundation Trust, London, UK
| | | | | | - Josh Levitsky
- Northwestern University Feinberg School of Medicine, Chicago, USA
| | | | - Marianne Samyn
- King's College Hospital NHS Foundation Trust, London, UK
| |
Collapse
|
148
|
Uy JP, Galván A. Individual differences in accumbofrontal tract integrity relate to risky decisions under stress in adolescents and adults. Dev Cogn Neurosci 2020; 45:100859. [PMID: 32920280 PMCID: PMC7494464 DOI: 10.1016/j.dcn.2020.100859] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Revised: 07/03/2020] [Accepted: 08/26/2020] [Indexed: 11/20/2022] Open
Abstract
Psychosocial stress increases risky decision-making (DM). It is widely accepted that individual variation in neural phenotypes underlie variability in this behavioral tendency in adults, but is less examined in adolescents. Our goal was to test the hypothesis that the relation between neural phenotypes and stress-related risky DM is better characterized by individual variation than by age. Using diffusion tensor imaging (DTI) tractography to characterize the accumbofrontal tract, we determined if it uniquely moderated how stress affects risky DM, over and above age. A daily diary design monitored participants’ daily stress for two weeks. Participants completed a DTI scan and performed a task in which decisions varied by expected value, once each on a day when they endorsed feeling higher (and lower) than usual levels of stress. Multilevel logistic regression analyses revealed that all participants were more likely to take risks as expected reward value increased; this behavior was greater under high versus low stress for individuals with low accumbofrontal tract integrity, whereas DM was less influenced by stress for individuals with high accumbofrontal tract integrity, regardless of age. Results suggest that individual differences in brain structure may be more germane to characterizing risky decisions in adolescents, rather than ontogeny.
Collapse
Affiliation(s)
- Jessica P Uy
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Adriana Galván
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
| |
Collapse
|
149
|
Longitudinal Trajectories of Sustained Attention Development in Children and Adolescents with ADHD. JOURNAL OF ABNORMAL CHILD PSYCHOLOGY 2020; 48:1529-1542. [PMID: 32889562 DOI: 10.1007/s10802-020-00698-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
The present study characterizes changes in sustained attention ability over ages 9-14, and whether longitudinal trajectories of attention development differ between persistent ADHD, remitted ADHD and control groups. The Sustained Attention to Response Task (SART) was administered to 120 children with ADHD and 123 controls on three occasions between ages 9 and 14. Trajectories of sustained attention development, indicated by changes in SART performance (standard deviation of response time [SDRT], omission errors, and ex-Gaussian parameters sigma and tau), were examined using generalized additive mixed models. For all measures there was a significant main effect of age; response time variability and number of omission errors improved linearly as children aged. However, children with ADHD had significantly greater SDRT, tau and omission errors than controls across waves. There were no significant group differences in sigma, indicating that the greater overall response time variability (SDRT) observed in ADHD was likely driven by more intermittent long responses (larger tau). Trajectories of sustained attention performance did not differ between children with persistent ADHD or ADHD in remission. Longitudinal trajectories of sustained attention development are comparable between ADHD and controls, however children with ADHD (regardless of remission status) display a performance deficit equivalent to typical controls 1-3 years younger. Findings highlight the need for continued clinical support for children in remission from ADHD and provide support for tau as an endophenotype of ADHD.
Collapse
|
150
|
Thomsen EL, Hertz PG, Blix C, Boisen KA. A national guideline for youth-friendly health services developed by chronically ill young people and health care professionals - a Delphi study. Int J Adolesc Med Health 2020; 34:487-498. [PMID: 32877363 DOI: 10.1515/ijamh-2020-0185] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 08/02/2020] [Indexed: 11/15/2022]
Abstract
Objectives Significant variation in cultural and socio-economic factors across different countries means that modification of existing guidelines for youth-friendly health services are needed. Furthermore, including the views and perspectives of young people in developing health services add significant value. The aim of this study was to develop a national guideline for youth-friendly health services using the Delphi method. Methods We invited young people with chronic conditions, managers of paediatric, psychiatric and relevant adult departments and health care professionals with experience and interest in adolescent medicine to participate. The initial list of elements was constructed based on international guidelines and systematic reviews. The study consisted of three electronic questionnaire rounds assessing relevance, importance and whether the elements were essential/very important, respectively. We used 70% agreement as cut-off. Results More than 70% of participants agreed that only one element was essential: 'Young people should be actively involved in decisions about their treatment and encouraged and supported to ask questions about their illness and treatment'. Additionally, 18 elements reached more than 70% agreement, when the 'essential' was combined with the 'very important' category. We grouped these 19 elements into five themes: 1) staff competences and workflow, 2) developmentally appropriate communication, 3) focus on youth life, including mental health 4) youth participation and shared decisions, and 5) autonomy and transitional care. Conclusion This guideline for a youth-friendly health care system may serve as inspiration for concrete changes, both locally and internationally, as it was developed together by young people, staff, and management.
Collapse
Affiliation(s)
- Ena Lindhart Thomsen
- Department of Pediatric and Adolescent Medicine, Center of Adolescent Medicine, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Pernille Grarup Hertz
- Department of Pediatric and Adolescent Medicine, Center of Adolescent Medicine, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Charlotte Blix
- Department of Pediatric and Adolescent Medicine, Center of Adolescent Medicine, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Kirsten A Boisen
- Department of Pediatric and Adolescent Medicine, Center of Adolescent Medicine, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| |
Collapse
|