University at Buffalo, Buffalo, NY, 14260, USA.
Indian Institute of Technology Gandhinagar, Ahmedabad, India.
Cerebellum. 2021 Dec;20(6):853-871. doi: 10.1007/s12311-021-01249-4. Epub 2021 Mar 6.
Feasibility of portable neuroimaging of cerebellar transcranial direct current stimulation (ctDCS) effects on the cerebral cortex has not been investigated vis-à-vis cerebellar lobular electric field strength. We studied functional near-infrared spectroscopy (fNIRS) in conjunction with electroencephalography (EEG) to measure changes in the brain activation at the prefrontal cortex (PFC) and the sensorimotor cortex (SMC) following ctDCS as well as virtual reality-based balance training (VBaT) before and after ctDCS treatment in 12 hemiparetic chronic stroke survivors. We performed general linear modeling (GLM) that putatively associated the lobular electric field strength with the changes in the fNIRS-EEG measures at the ipsilesional and contra-lesional PFC and SMC. Here, fNIRS-EEG measures were found in the latent space from canonical correlation analysis (CCA) between the changes in total hemoglobin (tHb) concentrations (0.01-0.07Hz and 0.07-0.13Hz bands) and log10-transformed EEG bandpower within 1-45 Hz where significant (Wilks' lambda>0.95) canonical correlations were found only for the 0.07-0.13-Hz band. Also, the first principal component (97.5% variance accounted for) of the mean lobular electric field strength was a good predictor of the latent variables of oxy-hemoglobin (O2Hb) concentrations and log10-transformed EEG bandpower. GLM also provided insights into non-responders to ctDCS who also performed poorly in the VBaT due to ideomotor apraxia. Future studies should investigate fNIRS-EEG joint-imaging in a larger cohort to identify non-responders based on GLM fitting to the fNIRS-EEG data.
便携式小脑经颅直流电刺激(ctDCS)对大脑皮层影响的神经影像学可行性尚未针对小脑小叶电场强度进行研究。我们结合功能近红外光谱(fNIRS)和脑电图(EEG)来测量 12 名偏侧慢性中风幸存者在 ctDCS 治疗前后的大脑前额叶皮层(PFC)和感觉运动皮层(SMC)的脑激活变化,以及基于虚拟现实的平衡训练(VBaT)。我们进行了广义线性建模(GLM),推测将小叶电场强度与同侧和对侧 PFC 和 SMC 的 fNIRS-EEG 测量变化相关联。在这里,fNIRS-EEG 测量值是通过总血红蛋白(tHb)浓度变化(0.01-0.07Hz 和 0.07-0.13Hz 波段)和 1-45Hz 内 log10 变换的 EEG 频带功率之间的典型相关分析(CCA)的潜在空间中找到的,只有在 0.07-0.13-Hz 波段才发现显著的(Wilks' lambda>0.95)典型相关性。此外,平均小叶电场强度的第一主成分(占 97.5%的方差)是氧合血红蛋白(O2Hb)浓度和 log10 变换的 EEG 频带功率的潜在变量的良好预测因子。GLM 还深入了解了对 ctDCS 无反应的患者,他们由于运动性想象障碍,在 VBaT 中的表现也很差。未来的研究应该在更大的队列中进行 fNIRS-EEG 联合成像,以根据 fNIRS-EEG 数据的 GLM 拟合来识别无反应者。