Department of Neurology, University Hospital Basel, Switzerland.
Mult Scler. 2013 Sep;19(10):1290-6. doi: 10.1177/1352458513475490. Epub 2013 Mar 4.
Cortical lesions (CLs) have been reported to be a better predictor for cognitive impairment than white matter (WM) lesions in relapsing-remitting multiple sclerosis (RRMS).
The objectives of this article are to investigate the contribution of CLs and WM lesions to cognitive impairment in 91 patients with MS and clinically isolated syndrome, and to test potential associations of CLs and WM lesions with fatigue and depression.
Lesions were scored and segmented on 3D double inversion recovery sequences, according to their location (cortical, WM). Normalised grey matter volume was also determined. Cognitive performance was assessed with the SDMT and PASAT-3, fatigue with the FSMC and depression with the German version of the CES-D.
CL volume did not correlate with fatigue or depression, but correlated significantly with both neuropsychological outcome measures: PASAT-3 (r = -0.275, p = 0.009) and SDMT (r = -0.377, p < 0.001). Multiple regression analyses with age, WM lesions, CLs and GM volume as independent variables, however, did not reveal CL volume as a significant predictor of neuropsychological outcomes, whereas WM lesion volume significantly predicted SDMT and by trend PASAT performance.
These findings suggest a role of WM lesions in the development of cognitive deficits, especially information-processing speed, which may be higher than previously assumed.
ABBREVIATIONS CES-D: Center for Epidemiologic Studies Depression scale (ADS-L: Allgemeine Depressions Skala-L, German version of CES-D), CIS: clinically isolated syndrome, CL: cortical lesion, DIR: double inversion recovery, EDSS: Expanded Disability Status Scale, FSMC: fatigue scale for motor and cognitive functions, GM: grey matter, MRI: magnetic resonance imaging, MS: multiple sclerosis, PASAT-3: paced auditory serial addition test 3s, PPMS: primary progressive multiple sclerosis, RRMS: relapsing-remitting multiple sclerosis, SDMT: symbol digit modalities test, SPM: statistical parametric mapping, SPMS: secondary progressive multiple sclerosis, WM: white matter.
皮质病变(CLs)比复发缓解型多发性硬化症(RRMS)中的白质病变(WM)更能预测认知障碍。
本文旨在研究 91 例 MS 和临床孤立综合征患者的 CL 和 WM 病变对认知障碍的贡献,并检测 CL 和 WM 病变与疲劳和抑郁的潜在相关性。
根据病变位置(皮质、WM),在 3D 双反转恢复序列上对病变进行评分和分割,并确定正常化灰质体积。使用符号数字模态测试(SDMT)和 Paced Auditory Serial Addition Test-3s(PASAT-3)评估认知表现,使用疲劳严重度量表(FSMC)和德国版的 CES-D 评估疲劳和抑郁。
CL 体积与疲劳或抑郁无相关性,但与神经心理学测量结果显著相关:PASAT-3(r = -0.275,p = 0.009)和 SDMT(r = -0.377,p < 0.001)。然而,以年龄、WM 病变、CL 和 GM 体积为自变量的多元回归分析并未显示 CL 体积是神经心理学结果的显著预测因子,而 WM 病变体积显著预测了 SDMT,且 PASAT 表现呈趋势。
这些发现表明 WM 病变在认知功能障碍,尤其是信息处理速度的发展中起作用,其作用可能高于之前的假设。
CES-D:中心流行病学研究抑郁量表(ADS-L:德国版 CES-D 的 Allgemeine Depressions Skala-L),CIS:临床孤立综合征,CL:皮质病变,DIR:双反转恢复,EDSS:扩展残疾状况量表,FSMC:运动和认知功能疲劳量表,GM:灰质,MRI:磁共振成像,MS:多发性硬化症,PASAT-3:听觉连续加法测试 3 秒,PPMS:原发性进行性多发性硬化症,RRMS:复发缓解型多发性硬化症,SDMT:符号数字模态测试,SPM:统计参数映射,SPMS:继发性进行性多发性硬化症,WM:白质。