Images and text files for the above publication

This is a 7-zip (https://www.7-zip.org/) containing the files described in the README file. These files include the atlas-space location of all active contacts, the changes in UPDRS, cognitive and visual analog scale measures with stimulation at each contact, and the statistical images described in the manuscript, in NIFTI format

Table S2 from Mapping movement, mood, motivation and mentation in the subthalamic nucleus

Statistical summary of 3D analyses excluding participants who received < 2.5V STN DBS

Table S3 from Mapping movement, mood, motivation and mentation in the subthalamic nucleus

Instructions and anchor points for visual analogue scale ratings

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

The global burden of disease attributable to externalising disorders such as alcohol misuse calls urgently for effective prevention and intervention. As our current knowledge is mainly derived from high-income countries such in Europe and North-America, it is difficult to address the wider socio-cultural, psychosocial context, and genetic factors in which risk and resilience are embedded in low- and medium-income countries. c-VEDA was established as the first and largest India-based multi-site cohort investigating the vulnerabilities for the development of externalising disorders, addictions, and other mental health problems. Using a harmonised data collection plan coordinated with multiple cohorts in China, USA, and Europe, baseline data were collected from 7 study sites between November 2016 and May 2019. 9010 participants between the ages of 6 and 23 were assessed during this time, amongst which 1278 participants underwent more intensive assessments including MRI scans. Both waves of follow-ups have started according to the accelerated cohort structure with planned missingness design. Here we present descriptive statistics on several key domains of assessments, and the full baseline dataset will be made accessible for researchers outside the consortium in September 2019. More details can be found on our website [cveda.org]