Invasive neurophysiology and whole brain connectomics for neural decoding in patients with brain implants
Year: 2025
Type: article
Abstract: Brain-computer interface research can inspire closed-loop neuromodulation therapies, promising spatiotemporal precision for the treatment of brain disorders. Decoding dynamic patient states from brain signals with machine learning is required to leverage this precision, but a standardized framework for invasive brain signal decoding from neural implants does not exist. Here we develop a platform that integrates brain signal decoding with magnetic resonance imaging connectomics and demonstrate its use across 123 h of invasively recorded brain data from 73 neurosurgical patients treated with brain implants for movement disorders, depression and epilepsy. We introduce connectomics-informed movement decoders that generalize across cohorts with Parkinson's disease and epilepsy from the United States, Europe and China. We reveal network targets for emotion decoding in left prefrontal and cingulate circuits in deep brain stimulation patients with major depression. Finally, we showcase opportunities to improve seizure detection in responsive neurostimulation for epilepsy. Our study highlights the clinical use of brain signal decoding for deep brain stimulation and provides methods that allow for rapid, high-accuracy decoding for precision medicine approaches that can dynamically adapt neurotherapies in response to the individual needs of patients.
Source: Nature Biomedical Engineering
Authors: Timon Merk, Richard M. Köhler, Toni M. Brotons, Samed Rouven Vossberg, Victoria Peterson, Laura Freire Lyra, Jojo Vanhoecke, Meera Chikermane, Thomas S. Binns, Ningfei Li, Ashley Walton, Clemens Neudorfer, Alan Bush, Nathan Sisterson, Johannes Busch, Roxanne Lofredi, Jeroen Habets, Julius Huebl, Guanyu Zhu, Zixiao Yin, Baotian Zhao, Angela Merkl, Malek Bajbouj, Patricia Krause, Katharina Faust, Gerd-Helge Schneider, Andreas Horn, Jianguo Zhang, Andrea A. Kühn, R. Mark Richardson, Wolf-Julian Neumann
Institutions: Baylor College of Medicine, Stiftung Charité, Rice University, Charité - Universitätsmedizin Berlin, Harvard University, Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad Nacional del Litoral, Massachusetts General Hospital, Einstein Center for Neurosciences Berlin, Capital Medical University, Beijing Tian Tan Hospital, MSB Medical School Berlin, Brigham and Women's Hospital, University Hospital Cologne
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $12,690
Awards: G2638121700, G4750422559, TRR 295: Behandlung motorischer Netzwerkstörungen mittels Neuromodulation, CRCNS: Deep Neural Network Approaches for Closed-Loop Deep Brain Stimulation, G7964497686, G816297615, Using Brain Lesions and Deep Brain Stimulation to Identify an Epilepsy Circuit, BRAIN CONNECTS: The center for Large-scale Imaging of Neural Circuits (LINC)
OpenAlex ID: W4414479392