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基于术前自发性脑活动预测原发性震颤患者接受 MRgFUS 丘脑切开术后震颤改善的情况:一种机器学习方法。

Predicting tremor improvement after MRgFUS thalamotomy in essential tremor from preoperative spontaneous brain activity: A machine learning approach.

机构信息

Department of Radiology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China.

Department of Neurosurgery, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China.

出版信息

Sci Bull (Beijing). 2024 Oct 15;69(19):3098-3105. doi: 10.1016/j.scib.2024.05.049. Epub 2024 Aug 16.

Abstract

Magnetic resonance-guided focused ultrasound surgery (MRgFUS) thalamotomy is an emerging technique for medication-refractory essential tremor (ET), but with variable outcomes. This study used pattern regression analysis to identify brain signatures predictive of tremor improvements. Fifty-four ET patients (mean age = 63.06 years, standard deviation (SD) = 10.55 years, 38 males) underwent unilateral MRgFUS thalamotomy and were scanned for resting-state functional magnetic resonance imaging (rs-fMRI). Seventy-four healthy controls (mean age = 58.09 years, SD = 10.30 years, 38 males) were recruited for comparison. Tremor responses at 12 months posttreatment were evaluated by the Clinical Rating Scale for Tremor. The fractional amplitude of low-frequency fluctuations (fALFF) was calculated from rs-fMRI data. Two-sample t-test was used to generate a disease-specific mask, within which Multivariate Kernel Ridge Regression analyses were conducted. Predicted and actual clinical scores were compared using Pearson's correlation coefficient (r) and normalized mean squared error (Norm. MSE). Permutation test and leave-one-out strategy were applied for results validation. KRR identified fALFF patterns that significantly predicted the hand tremor improvement (r = 0.23, P = 0.025; Norm. MSE = 0.05, P = 0.026) and the postural tremor improvement (r = 0.28, P = 0.025; Norm. MSE = 0.06, P = 0.023), but not action tremor improvement. Lobule VI of right cerebellum (Cerebelum_6_R), right superior occipital gyrus (Occipital_Sup_R) and lobule X of vermis (Vermis_10) contributed most for hand tremor prediction (normalized weights (NW): 2.77%, 2.40%, 2.34%) while Vermis_10, left supplementary motor area (Supp_Motor_Area_L) and right hippocampus (Hippocampus_R) for postural tremor prediction (NW: 2.69%, 2.12%, 2.05%). The low contributing NW of the individual brain regions suggested that the fALFF pattern as a whole is an overall predicting feature. Preoperative fALFF pattern predicts tremor benefits induced by MRgFUS thalamotomy. ClinicalTrials.gov number: NCT04570046.

摘要

磁共振引导聚焦超声手术(MRgFUS)丘脑切开术是一种治疗药物难治性特发性震颤(ET)的新兴技术,但疗效不一。本研究采用模式回归分析来识别预测震颤改善的脑特征。54 名 ET 患者(平均年龄 63.06 岁,标准差(SD)为 10.55 岁,38 名男性)接受了单侧 MRgFUS 丘脑切开术,并接受了静息态功能磁共振成像(rs-fMRI)扫描。74 名健康对照者(平均年龄 58.09 岁,SD 为 10.30 岁,38 名男性)被招募作为比较。治疗后 12 个月通过临床震颤评分量表(Clinical Rating Scale for Tremor)评估震颤反应。从 rs-fMRI 数据中计算出低频振幅(fALFF)。采用两样本 t 检验生成疾病特异性掩模,在该掩模内进行多变量核岭回归分析。使用 Pearson 相关系数(r)和归一化均方误差(Norm. MSE)比较预测和实际临床评分。应用置换检验和留一法策略进行结果验证。KRR 确定了显著预测手部震颤改善的 fALFF 模式(r=0.23,P=0.025;Norm. MSE=0.05,P=0.026)和姿势震颤改善(r=0.28,P=0.025;Norm. MSE=0.06,P=0.023),但不能预测动作震颤改善。右侧小脑 VI 叶(Cerebelum_6_R)、右侧顶枕叶(Occipital_Sup_R)和蚓部 X 叶(Vermis_10)对手部震颤预测贡献最大(归一化权重(NW):2.77%、2.40%、2.34%),而 Vermis_10、左侧辅助运动区(Supp_Motor_Area_L)和右侧海马(Hippocampus_R)对姿势震颤预测贡献最大(NW:2.69%、2.12%、2.05%)。个体脑区的低贡献 NW 表明,fALFF 模式整体是一个整体预测特征。术前 fALFF 模式预测了 MRgFUS 丘脑切开术引起的震颤获益。ClinicalTrials.gov 编号:NCT04570046。

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