Wróbel Paweł P, Guder Stephanie, Feldheim Jan F, Graterol Pérez Jose A, Frey Benedikt M, Choe Chi-Un, Bönstrup Marlene, Cheng Bastian, Rathi Yogesh, Pasternak Ofer, Thomalla Götz, Gerloff Christian, Shenton Martha E, Schulz Robert
Department of Neurology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany.
Department of Neurology, University Medical Center, 04103 Leipzig, Germany.
Brain Commun. 2024 May 28;6(3):fcae115. doi: 10.1093/braincomms/fcae115. eCollection 2024.
Cortical thickness analyses have provided valuable insights into changes in cortical brain structure after stroke and their association with recovery. Across studies though, relationships between cortical structure and function show inconsistent results. Recent developments in diffusion-weighted imaging of the cortex have paved the way to uncover hidden aspects of stroke-related alterations in cortical microstructure, going beyond cortical thickness as a surrogate for cortical macrostructure. Animal data obtained in rats and monkeys have evidenced that contralesional motor areas undergo degenerative alterations in their microstructure which are accompanied by compensatory changes as well. We hypothesized that cortical diffusion imaging can detect similar changes in human stroke survivors. We re-analysed clinical and imaging data of 42 well-recovered chronic stroke patients from two independent cohorts (mean age 64 years, 4 left-handed, 71% male, 16 right-sided strokes) and 33 healthy controls of similar age and gender. Cortical fractional anisotropy, axial diffusivity, radial diffusivity and cortical thickness values were obtained for six key sensorimotor areas of the contralesional hemisphere. The regions included the primary motor cortex, dorsal and ventral premotor cortex, supplementary and pre-supplementary motor areas and primary somatosensory cortex. Linear models were estimated for group comparisons between patients and controls and for correlations between cortical fractional anisotropy, axial diffusivity, radial diffusivity and cortical thickness and clinical scores. Against our hypothesis, we did not find any significant alterations in contralesional cortical microstructure after stroke. Likewise, we did not detect any correlations between cortical microstructure and behavioural scores. Future analyses are warranted to investigate whether such alterations might occur in different populations, e.g. in later stages of recovery, in more severely impaired patients, or only in the ipsilesional hemisphere in patients with specific lesion patterns.
皮质厚度分析为了解中风后脑皮质结构的变化及其与恢复的关系提供了有价值的见解。然而,在各项研究中,皮质结构与功能之间的关系结果并不一致。皮质扩散加权成像的最新进展为揭示中风相关皮质微结构改变的隐藏方面铺平了道路,超越了将皮质厚度作为皮质宏观结构的替代指标。在大鼠和猴子身上获得的动物数据表明,对侧运动区的微结构会发生退行性改变,同时也伴有代偿性变化。我们假设皮质扩散成像可以检测人类中风幸存者的类似变化。我们重新分析了来自两个独立队列的42名恢复良好的慢性中风患者(平均年龄64岁,4名左利手,71%为男性,16例右侧中风)以及33名年龄和性别相似的健康对照者的临床和影像数据。获取了对侧半球六个关键感觉运动区的皮质分数各向异性、轴向扩散率、径向扩散率和皮质厚度值。这些区域包括初级运动皮质、背侧和腹侧运动前皮质、辅助运动区和前辅助运动区以及初级体感皮质。估计了患者与对照之间的组间比较以及皮质分数各向异性、轴向扩散率、径向扩散率和皮质厚度与临床评分之间的相关性。与我们的假设相反,我们未发现中风后对侧皮质微结构有任何显著改变。同样,我们也未检测到皮质微结构与行为评分之间的任何相关性。未来有必要进行分析,以研究这些改变是否可能在不同人群中出现,例如在恢复后期、在受损更严重的患者中,或者仅在具有特定病变模式的患者的同侧半球中出现。