Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, Queen Square, London, WC1N 3BG, UK.
Department of Neuroradiology, King's College Hospital NHS Foundation Trust, London, Denmark Hill, SE5 9RS, UK.
Eur Radiol. 2023 Sep;33(9):6081-6093. doi: 10.1007/s00330-023-09838-z. Epub 2023 Jul 6.
Lateralisation of some language pathways has been reported in the literature using diffusion tractography, which is more feasible than functional magnetic resonance imaging (fMRI) in challenging patients. Our retrospective study investigates whether a correlation exists between threshold-independent fMRI language lateralisation and structural lateralisation using tractography in healthy controls and brain tumour patients.
Fifteen healthy subjects and 61 patients underwent language fMRI and diffusion-weighted MRI. A regional fMRI laterality index (LI) was calculated. Tracts dissected were the arcuate fasciculus (long direct and short indirect tracts), uncinate fasciculus, inferior longitudinal fasciculus, inferior fronto-occipital fasciculus and frontal aslant tract. An asymmetry index (AI) for each tract was calculated using tract volume analysed with single tensor (ST) and spherical deconvolution (SD) models, as well as hindrance modulated orientational anisotropy (HMOA) for SD tracts. Linear regression assessed the correlation between LI and AI.
In all subjects, there was no significant correlation between LI and AI for any of the dissected tracts. Significant correlations were only found when handedness for controls and tumour volume for patients were included as covariates. In handedness subgroups, the average AI of some tracts showed the same laterality as LI, and some the opposite. Discordant results were observed for ST- and SD-based AIs.
Our results do not support using tractography in the assessment of language lateralisation. The discordant results between ST and SD indicate that either the structural lateralisation of dissected tracts is less robust than functional lateralisation, or tractography is not sensitive methodology. Other diffusion analysis approaches should be developed.
Although diffusion tractography may be more feasible than fMRI in challenging tumour patients and where sedation or anaesthesia is required, our results do not currently recommend replacing fMRI with tractography using volume or HMOA in the assessment of language lateralisation.
• No correlation found between fMRI and tractography in language lateralisation. • Discordance between asymmetry indices of different tractography models and metrics. • Tractography not currently recommended in language lateralisation assessment.
已有文献报道,使用弥散张量成像(diffusion tractography,DTI)可以检测到一些语言通路的偏侧化,与功能磁共振成像(functional magnetic resonance imaging,fMRI)相比,DTI 在具有挑战性的患者中更为可行。本回顾性研究旨在调查健康对照者和脑肿瘤患者中,基于弥散张量成像的结构偏侧化与无阈值 fMRI 语言偏侧化之间是否存在相关性。
15 名健康受试者和 61 名患者接受了语言 fMRI 和弥散加权 MRI 检查。计算了区域性 fMRI 侧化指数(laterality index,LI)。分析了包括弓状束(long direct and short indirect tracts)、钩束、下纵束、下额枕束和额斜束在内的各向异性纤维束。使用单张量(single tensor,ST)和球谐分解(spherical deconvolution,SD)模型分析各向异性纤维束的体积,计算各向异性纤维束的不对称指数(asymmetry index,AI),并对 SD 各向异性纤维束进行受阻调制取向各向异性(hindrance modulated orientational anisotropy,HMOA)分析。采用线性回归评估 LI 与 AI 之间的相关性。
在所有受试者中,各向异性纤维束的 LI 与 AI 之间均无显著相关性。仅当将健康对照者的利手性和患者的肿瘤体积作为协变量时,才会发现显著相关性。在利手性亚组中,一些各向异性纤维束的平均 AI 显示出与 LI 相同的偏侧性,而另一些则相反。基于 ST 和 SD 的 AI 存在不一致的结果。
本研究结果不支持使用弥散张量成像评估语言偏侧化。ST 和 SD 之间不一致的结果表明,所分析的各向异性纤维束的结构偏侧化不如功能偏侧化可靠,或者弥散张量成像不是一种敏感的方法。应开发其他扩散分析方法。
尽管在具有挑战性的肿瘤患者中或需要镇静或麻醉的情况下,弥散张量成像可能比 fMRI 更可行,但本研究结果目前不建议在语言偏侧化评估中用各向异性纤维束体积或受阻调制取向各向异性代替 fMRI。