Predicting optimal deep brain stimulation parameters for Parkinson’s disease using functional MRI and machine learning

by Alexandre Boutet, Radhika Madhavan, Gavin J. B. Elias, Suresh E. Joel, Robert Gramer, Manish Ranjan, Vijayashankar Paramanandam, David Xu, Jurgen Germann, Aaron Loh, Suneil K. Kalia, Mojgan Hodaie, Bryan Li, Sreeram Prasad, Ailish Coblentz, Renato P. Munhoz, Jeffrey Ashe, Walter Kucharczyk, Alfonso Fasano, Andres M. Lozano
Published 2021-05-01

Genetic Architecture of Parkinson's Disease in the Indian Population: Harnessing Genetic Diversity to Address Critical Gaps in Parkinson's Disease Research

by Roopa Rajan, K. P. Divya, Rukmini Mridula Kandadai, Ravi Yadav, Venkata P. Satagopam, Venkata P. Satagopam, U. K. Madhusoodanan, Pankaj Agarwal, Niraj Kumar, Teresa Ferreira, Hrishikesh Kumar, A. V. Sreeram Prasad, Kuldeep Shetty, Sahil Mehta, Soaham Desai, Suresh Kumar, L. K. Prashanth, Mohit Bhatt, Pettarusp Wadia, Sudha Ramalingam, G. M. Wali, Sanjay Pandey, Felix Bartusch, Maximilian Hannussek, Jens Krüger, Ashwin Kumar-Sreelatha, Sandeep Grover, Peter Lichtner, Marc Sturm, Jochen Roeper, Volker Busskamp, Giriraj R. Chandak, Jens Schwamborn, Pankaj Seth, Thomas Gasser, Olaf Riess, Vinay Goyal, Vinay Goyal, Pramod Kumar Pal, Rupam Borgohain, Rejko Krüger, Rejko Krüger, Asha Kishore, Manu Sharma, The Lux-GIANT Consortium
Published 2020-06-01