Sperber Christoph, Karnath Hans-Otto
Division of Neuropsychology, Centre of Neurology, Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.
Department of Psychology, University of South Carolina, South Carolina, Columbia.
Hum Brain Mapp. 2017 Mar;38(3):1692-1701. doi: 10.1002/hbm.23490. Epub 2017 Jan 3.
Statistical voxel-based lesion-behavior mapping (VLBM) in neurological patients with brain lesions is frequently used to examine the relationship between structure and function of the healthy human brain. Only recently, two simulation studies noted reduced anatomical validity of this method, observing the results of VLBM to be systematically misplaced by about 16 mm. However, both simulation studies differed from VLBM analyses of real data in that they lacked the proper use of two correction factors: lesion size and "sufficient lesion affection." In simulation experiments on a sample of 274 real stroke patients, we found that the use of these two correction factors reduced misplacement markedly compared to uncorrected VLBM. Apparently, the misplacement is due to physiological effects of brain lesion anatomy. Voxel-wise topographies of collateral damage in the real data were generated and used to compute a metric for the inter-voxel relation of brain damage. "Anatomical bias" vectors that were solely calculated from these inter-voxel relations in the patients' real anatomical data, successfully predicted the VLBM misplacement. The latter has the potential to help in the development of new VLBM methods that provide even higher anatomical validity than currently available by the proper use of correction factors. Hum Brain Mapp 38:1692-1701, 2017. © 2017 Wiley Periodicals, Inc.
基于体素的统计学病变-行为映射(VLBM)常用于研究患有脑损伤的神经科患者健康人脑结构与功能之间的关系。直到最近,两项模拟研究指出该方法的解剖学有效性降低,观察到VLBM的结果系统性地错位约16毫米。然而,这两项模拟研究与真实数据的VLBM分析不同之处在于,它们没有正确使用两个校正因子:病变大小和“足够的病变影响”。在对274名真实中风患者样本进行的模拟实验中,我们发现与未校正的VLBM相比,使用这两个校正因子可显著减少错位。显然,这种错位是由于脑损伤解剖结构的生理效应。在真实数据中生成了体素层面的侧支损伤地形图,并用于计算脑损伤体素间关系的度量。仅根据患者真实解剖数据中的这些体素间关系计算出的“解剖学偏差”向量,成功预测了VLBM的错位。后者有可能有助于开发新的VLBM方法,通过正确使用校正因子,提供比目前更高的解剖学有效性。《人类大脑图谱》38:1692 - 1701,2017年。©2017威利期刊公司。