The Consortium on Vulnerability to Externalizing Disorders and Addictions (c-VEDA): an accelerated longitudinal cohort of children and adolescents in India

Zhang, Yuning; Vaidya, Nilakshi; Iyengar, Udita; Sharma, Eesha; Holla, Bharath; Ahuja, Chirag; Barker, Gareth J.; Basu, Debasish; Bharath, Rose Dawn; Chakrabarti, Amit; Desrivières, Sylvane; Elliott, Paul; Fernandes, Gwen; Gourisankar, Amritha; Heron, Jon; Hickman, Matthew; Jacob, Preeti; Jain, Sanjeev; Jayarajan, Deepak; Kalyanram, Kartik; Kartik, Kamakshi; Krishna, Murali; Krishnaveni, Ghattu V; Kumar, Keshav; Kumaran, Kalyanaraman; Kuriyan, Rebecca; Murthy, Pratima; Orfanos, Dimitri Papadopoulos; Purushottam, Meera; Rangaswamy, Madhavi; Kupard, Sunita Simon; Singh, Lairenlakpam Deban; Singh, Roshan; Subodh, BN; Thennarasu, Kandavel; Toledano, Mireille B.; Varghese, Mathew; Benegal, Vivek; Schumann, Günter

doi:10.1038/s41380-020-0656-1

Cited by 23 publications

(18 citation statements)

References 42 publications

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“…We propose to evaluate these research questions by using data from the Consortium on Vulnerability to Externalising Disorders and Addictions study (cVEDA), the largest paediatric and young adult study of factors affecting neurodevelopment on the Indian subcontinent [ 15 , 21 ]. The study aims to: determine the prevalence of ACEs in India by age-band, sex and recruitment site, and determine the association between ACEs and hazardous and harmful substance misuse, specifically tobacco, alcohol and cannabis.…”

Section: Introductionmentioning

confidence: 99%

Adverse childhood experiences and substance misuse in young people in India: results from the multisite cVEDA cohort

et al. 2021

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Background Adverse childhood experiences (ACEs) increases vulnerability to externalising disorders such as substance misuse. The study aims to determine the prevalence of ACEs and its association with substance misuse. Methods Data from the Consortium on Vulnerability to Externalising Disorders and Addictions (cVEDA) in India was used (n = 9010). ACEs were evaluated using the World Health Organisation (WHO) Adverse Childhood Experiences International Questionnaire whilst substance misuse was assessed using the WHO Alcohol, Smoking and Substance Involvement Screening Test. A random-effects, two-stage individual patient data meta-analysis explained the associations between ACEs and substance misuse with adjustments for confounders such as sex and family structure. Results 1 in 2 participants reported child maltreatment ACEs and family level ACEs. Except for sexual abuse, males report more of every individual childhood adversity and are more likely to report misusing substances compared with females (87.3% vs. 12.7%). In adolescents, family level ACEs (adj OR 4.2, 95% CI 1.5–11.7) and collective level ACEs (adj OR 6.6, 95% CI 1.4–31.1) show associations with substance misuse whilst in young adults, child level ACEs such as maltreatment show similar strong associations (adj OR 2.0, 95% CI 1.1–3.5). Conclusion ACEs such as abuse and domestic violence are strongly associated with substance misuse, most commonly tobacco, in adolescent and young adult males in India. The results suggest enhancing current ACE resilience programmes and ‘trauma-informed’ approaches to tackling longer-term impact of ACEs in India. Funding Newton Bhabha Grant jointly funded by the Medical Research Council, UK (MR/N000390/1) and the Indian Council of Medical Research (ICMR/MRC-UK/3/M/2015-NCD-I).

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Section: Introductionmentioning

confidence: 99%

Adverse childhood experiences and substance misuse in young people in India: results from the multisite cVEDA cohort

et al. 2021

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“…Information Sharing Statement More specific details about accessing the datasets used in the study can be found at Zhang et al (2020) for cVEDA and Schumann et al (2010) for IMAGEN. The COINSTAC software can be accessed at https://github.com/trendscenter/coinstac.…”

Section: Resultsmentioning

confidence: 99%

“…The Consortium on Vulnerability to Externalising Disorders and Addiction (cVEDA) is a multisite, collaborative, cohort study in India with an accelerated longitudinal design and planned missingness approach that covers an age span of 5-24 years ( Table 1). The cohort was set up to examine neurobehavioral developmental trajectories and vulnerability to psychopathology, with a specific focus on externalizing spectrum disorders (Zhang et al 2020). The cVEDA MRI sample was scanned at six sites using 3T MRI scanners.…”

Section: Cvedamentioning

confidence: 99%

Decentralized Multisite VBM Analysis During Adolescence Shows Structural Changes Linked to Age, Body Mass Index, and Smoking: a COINSTAC Analysis

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There has been an upward trend in developing frameworks that enable neuroimaging researchers to address challenging questions by leveraging data across multiple sites all over the world. One such open-source framework is the Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation (COINSTAC) that works on Windows, macOS, and Linux operating systems and leverages containerized analysis pipelines to analyze neuroimaging data stored locally across multiple physical locations without the need for pooling the data at any point during the analysis. In this paper, the COINSTAC team partnered with a data collection consortium to implement the first-ever decentralized voxelwise analysis of brain imaging data performed outside the COINSTAC development group. Decentralized voxel-based morphometry analysis of over 2000 structural magnetic resonance imaging data sets collected at 14 different sites across two cohorts and co-located in different countries was performed to study the structural changes in brain gray matter which linked to age, body mass index (BMI), and smoking. Results produced by the decentralized analysis were consistent with and extended previous findings in the literature. In particular, a widespread cortical gray matter reduction (resembling a 'default mode network' pattern) and hippocampal increase with age, bilateral increases in the hypothalamus and basal ganglia with BMI, and cingulate and thalamic decreases with smoking. This work provides a critical real-world test of the COINSTAC framework in a "Large-N" study. It showcases the potential benefits of performing multivoxel and multivariate analyses of large-scale neuroimaging data located at multiple sites.

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“…The datasets used in the present study were selected retrospectively from healthy control subjects of several imaging studies, across multiple centers and different populations across India. They included imaging data from the ongoing Indian multisite developmental cohort study, the Consortium on Vulnerability to Externalising Disorders and Addictions (cVEDA) (Sharma et al, 2020; Zhang et al, 2020) and from stored datasets contributed by researchers at the National Institute of Mental Health and Neurosciences (NIMHANS, Bengaluru, India). All of these studies were approved by the ethics review boards at the corresponding participating sites and informed consent was obtained from each participant (or from their parent, in the case of subjects below 16 years, along with participant's written assent) with a specific request to collect, store and share anonymized data for research.…”

Section: Methodsmentioning

confidence: 99%

A series of five population‐specific Indian brain templates and atlases spanning ages 6–60 years

Holla

Taylor²,

Glen³

et al. 2020

Human Brain Mapping

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Anatomical brain templates are commonly used as references in neurological MRI studies, for bringing data into a common space for group-level statistics and coordinate reporting. Given the inherent variability in brain morphology across age and geography, it is important to have templates that are as representative as possible for both age and population. A representative-template increases the accuracy of alignment, decreases distortions as well as potential biases in final coordinate reports. In this study, we developed and validated a new set of T1w Indian brain templates (IBT) from a large number of brain scans (total n = 466) acquired across different locations and multiple 3T MRI scanners in India. A new tool in AFNI, make_template_dask.py, was created to efficiently make five age-specific IBTs (ages 6-60 years) as well as maximum probability map (MPM) atlases for each template; for each age-group's template-atlas pair, there is both a "population-average" and a "typical" version. Validation experiments on an independent Indian structural and functional-MRI Bharath Holla and Paul A. Taylor are the equally contributing authors.

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The Consortium on Vulnerability to Externalizing Disorders and Addictions (c-VEDA): an accelerated longitudinal cohort of children and adolescents in India

Cited by 23 publications

References 42 publications

Adverse childhood experiences and substance misuse in young people in India: results from the multisite cVEDA cohort

Adverse childhood experiences and substance misuse in young people in India: results from the multisite cVEDA cohort

Decentralized Multisite VBM Analysis During Adolescence Shows Structural Changes Linked to Age, Body Mass Index, and Smoking: a COINSTAC Analysis

A series of five population‐specific Indian brain templates and atlases spanning ages 6–60 years

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