Brain connectivity networks underlying resting heart rate variability in acute ischemic stroke.

"appendix a supplementary data the following are the supplementary data to this article: supplementary data 1 data availability data will be made available on request."

"7 Disclosure statement Dr. Welte-Jzyk reports no disclosures. Dr. Dimova reports no disclosures. Dr. Kronfeld reports no disclosures. Dr. Korczynski reports no disclosures. Dr. Koirala reports no disclosures. Dr. Steenken reports no disclosures. Dr. Kollmann reports no disclosures. Dr. Tüscher reports no disclosures. Dr. Brockman has received speakers’ fees and consulting honoraria from Stryker, Germany, all unrelated to the present work. Dr. Birklein has received speakers’ fees and consulting honoraria from Pfizer, Germany, and Alnylam, Europe, all unrelated to the present work. Dr. Muthuraman reports no disclosures. Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper."

"Funding The work was supported by the Deutsche Forschungsgemeinschaft (DFG, grant numbers Bi579/11–1 to FB, BA4097/3–1 to BB and MU4354/1–1 to MM). The funders had no role in method design, data selection and analysis, decision to publish, or preparation of the manuscript."

"The 50 rs-fMRIs were pre-processed by the program Data Processing Assistant for Resting-State fMRI (DPARSFA () implemented in MATLAB (MATLAB, 2016). After the removal of the first six images, we applied a series of steps including slice timing correction and realignment to eliminate the influence of head motion. All scans were checked for excessive head motion; participants did not show head motion more than 3 mm. The realigned images were segmented into gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF), spatially normalized to MNI space using Diffeomorphic Anatomical Registration Through Exponentiated Lie Algebra (DARTEL (), and resampled to 3 × 3 × 3 mm voxels. To reduce the influence of noise, we regressed out linear trend, 12 motion parameters, WM, CSF, and global signal as nuisance regressors. Later, the functional images were filtered with a bandpass filter between 0.1 and 0.01 Hz and smoothed with a 6-mm Gaussian kernel."