2026-10-13T17:22:18Z https://www.scidb.cn/oai

10.57760/sciencedb.26302 2025-12-19T16:21:44Z

2025-12-19 Precision imaging of individual human brains during deep brain stimulation (open-DBS) doi:10.57760/sciencedb.26302 en Deep brain stimulation (DBS) is an effective treatment for Parkinson’s disease (PD) but its neural mechanisms remain poorly understood. A mechanistic understanding requires precise characterization of functional responses to various stimulation conditions within the same individual. Here, we leveraged recent advancements in 3T MRI-compatible DBS and precision imaging to collect extensive data from 14 PD patients who received DBS. Across five timepoints spanning one year, each patient underwent 11.7-hour fMRI under seven stimulation conditions (30-172 minutes/session), 2.2-hour structural MRI (26 min/session), 1.3-hour diffusion-weighted MRI (16 min/session), and neurological assessments. This densely-sampled dataset provides reliable, individual-specific functional measures.Dataset description:Fourteen patients with PD underwent assessment one month before and 1, 3, 6, and 12 months after STN-DBS surgery. In the presurgical visit, five modalities of sMRI (T1w imaging, T2w FLAIR, T2w imaging with both coronal and transversal views, QSM, and blood vessel enhanced MRA), dMRI (diffusion-weighted NODDI), 30 min (6 min × 5 runs) of resting-state fMRI, and UPDRS-III assessments from two independent neurologists were completed. Following surgery, patients underwent sMRI and dMRI scans using identical protocols as presurgery. Twenty-four min (6 min × 4 runs) of fMRI scanning were acquired under each of the 7 stimulation conditions (DBS OFF as well as continuous/block-design HFS, LFS, and VFS). Postsurgical UPDRS-III assessments were conducted for each of the 4 stimulation conditions (DBS OFF, continuous HFS, LFS, and VFS), by two neurologists, independently. Parkinson's Disease; PD; Deep brain stimulation; DBS; STN; structural MRI; fMRI; diffusion MRI; CT Jianxun Ren Changqing Jiang Wei Zhang Louisa Dahmani Lunhao Shen Feng Zhang Shenshen Li Changgeng He Yilin Yin Xiaoxuan Fu Jianting Huang Yang Long Dantong Liu Yi Guo Yiming Liu Shujun Xu Fangang Meng Jianguo Zhang Danhong Wang Luming Li Hesheng Liu PUBLIC https://creativecommons.org/publicdomain/zero/1.0/ dataset http://www.doi.org/10.1002/ana.25906 Science Data Bank