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A French Version of a Voice Recognition Symbol Digit Modalities Test Analog
被引:2
|作者:
Feinstein, Anthony
[1
,2
,8
]
Shen, Lingkai
[3
]
Rose, Jonathan
[3
]
Cayer, Caroline
[4
,5
]
Bockus, Caitlyn
[4
,5
]
Meza, Cecilia
[1
,2
]
Puopolo, Juliana
[1
,2
]
Lapointe, Emmanuelle
[6
,7
]
机构:
[1] Univ Toronto, Dept Psychiat, Toronto, ON, Canada
[2] Sunnybrook Hlth Sci Ctr, Toronto, ON, Canada
[3] Univ Toronto, Edward S Rogers Sr Dept Elect & Comp Engn, Toronto, ON, Canada
[4] CHUS, Ctr integre Univ Sante, Ctr Rech, Sherbrooke, PQ, Canada
[5] Serv Sociaux Estrie, Sherbrooke, PQ, Canada
[6] Hop Fleurimont, Ctr integre Univ Sante, Dept Neurol, Sherbrooke, PQ, Canada
[7] Hop Fleurimont, Serv Sociaux Estrie, Sherbrooke, PQ, Canada
[8] Sunnybrook Res Inst, Dept Psychiat, 2075 Bayview Ave,FG 16, Toronto, ON M4N 3M5, Canada
关键词:
Multiple sclerosis;
SDMT;
Information processing speed;
French voice recognition cognitive testing;
COGNITION;
D O I:
10.1017/cjn.2022.343
中图分类号:
R74 [神经病学与精神病学];
学科分类号:
摘要:
We previously showed that a fully automated voice recognition analog of the Symbol Digit Modalities Test (VR-SDMT) is sensitive in detecting processing speed deficits in people with multiple sclerosis (pwMS). We subsequently developed a French language version and administered it to 49 French-Canadian pwMS and 29 matched healthy control (HC) subjects. Significant correlations between the VR-SDMT and traditional oral SDMT were found in the MS (r = -0.716, p < 0.001) and HC (r = -0.623, p < 0.001) groups. These findings in French replicate our previous findings and confirm the utility of voice recognition software in assessing cognition in pwMS.
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页码:925 / 928
页数:4
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