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A tablet-based comprehensive evaluation of drawing complex graphics performance of patients with mild cognitive impairment
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Xiao-Nan Zhang1, Liang-Liang Lv2, Yang Li3, *, Lei Yu4, Ya-Rong Zhao3, Guo-Wen Min3, Qiu-Yan Wang3, Jia-Ni Shen2, Jin-Yu Chen2
Medical Journal of Chinese People’s Liberation Army | 2023, 48(5) : 587 - 595
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Medical Journal of Chinese People’s Liberation Army | 2023, 48(5): 587-595
Clinical Research
A tablet-based comprehensive evaluation of drawing complex graphics performance of patients with mild cognitive impairment
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Xiao-Nan Zhang1, Liang-Liang Lv2, Yang Li3, *, Lei Yu4, Ya-Rong Zhao3, Guo-Wen Min3, Qiu-Yan Wang3, Jia-Ni Shen2, Jin-Yu Chen2
Affiliations
  • 1Department of Medical Imaging, Shanxi Medical University, Taiyuan, Shanxi 030001, China
  • 2the First Clinical Medical College, Shanxi Medical University, Taiyuan, Shanxi 030001, China
  • 3Department of Neurology, the First Affiliated Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China
  • 4Shanxi Provincial Key Laboratory of Mathematical Technology and Big Data Analysis for Disease Control and Prevention, Shanxi University, Taiyuan, Shanxi 030006, China
Published: 2023-05-28 doi: 10.11855/j.issn.0577-7402.2023.05.0587
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Objective To evaluate the usability of tablet-based digital complex figure test (dCFT) software on assessment of drawing strategies of patients with amnestic mild cognitive impairment (aMCI). Methods A total of 64 patients treated in a hospital from Nov. 2020 to Nov. 2021 were selected, including 26 cognitively normal people (control group) and 38 aMCI patients(aMCI group). All subjects underwent standardized neuropsychological assessments, including the mini-mental state examination(MMSE), the montreal cognitive assessment (MoCA), the Rey–Osterrieth Complex Figure (ROCF) test, and other cognitive domain scales. And then use the dCFT (including copying and recall) developed by our team to collect drawing parameters, such as stroke length, time, speed and number. The Pearson correlation coefficient was used to evaluate the correlation between the original and simplified ROCF test scores, and partial correlation used to analyze the correlation between the dCFT parameters and the comprehensive scores of each cognitive domain. Results (1) In the copying test, all dCFT parameters had no statistically significant between the two groups (P>0.05). In the immediate recall test, the total thinking time and element delay time in aMCI group were significantly longer than those in the control group [27.15(21.49, 33.94) vs. 21.85(18.26, 24.81), 1.99(1.36, 3.62) vs.1.32(1.03, 1.99), P<0.05]. In the delayed recall test, the transition time of short and long stroke sequence, total thinking time, total completion time, first thinking time and element delay time of the aMCI group were significantly higher than those of control group [1.89(1.12, 3.93) vs. 1.19(0.42, 2.41), 23.94(18.86, 36.87) vs. 19.93(16.59, 23.00), 40.30(34.83, 56.21) vs. 34.52(29.96, 42.15), 7.92(6.20, 9.83) vs. 5.92(5.16, 8.04), 1.63(1.25, 2.47) vs. 1.08(0.83, 1.55), P<0.05]. The first 5 stroke ratios (%), speed of the longest stroke (cm/s) and strokes per minute of aMCI group were significantly lower than those of control group [60(40, 80) vs. 80(60, 100), 4.65(3.53, 6.07) vs. 6.00(4.54, 7.13), 21(18, 25) vs. 26(21, 27), P<0.05]. Other dCFT parameters had no statistically significance between the two groups (P>0.05). (2) Correlation analysis showed that the transition time was negatively correlated with attention and executive function (r=–0.292, r=–0.275, P<0.05); the speed of the longest stroke was positively correlated with the executive function (r=0.302, P<0.05); the total thinking time was negatively correlated with memory, attention, executive function and visuospatial ability (r=–0.26, r=–0.408, r=–0.448, r=–0.264, P<0.05); the total completion time was negatively correlated with attention, executive function and visuospatial ability (r=–0.342, r=–0.429, r=–0.273, P<0.05); the first stroke latency was negatively correlated with memory and visuospatial ability (r=–0.365, r=–0.407, P<0.01); the average element latency was negatively correlated with memory and attention (r=–0.377, r=–0.33, P<0.01); the strokes per minute was positively correlated with memory, attention, executive function and visuospatial ability (r=0.326, r=0.311, r=0.376, r=0.263, P<0.05). Conclusions Visuospatial memory impairment of aMCI patients was presented in 3-minute recall test of the complex figure test, and their drawing strategy was acceptable. But after 20 minutes, the memory and the organization strategy of drawing were significantly affected. Visual perception is not significantly impaired in the process. The dCFT software is a convenient, objective assessment tool for aMCI.

mild cognitive impairment  /  complex figure test  /  neuropsychological test  /  digital evaluation  /  Alzheimer's disease
Xiao-Nan Zhang, Liang-Liang Lv, Yang Li, Lei Yu, Ya-Rong Zhao, Guo-Wen Min, Qiu-Yan Wang, Jia-Ni Shen, Jin-Yu Chen. A tablet-based comprehensive evaluation of drawing complex graphics performance of patients with mild cognitive impairment[J]. Medical Journal of Chinese People’s Liberation Army, 2023 , 48 (5) : 587 -595 . DOI: 10.11855/j.issn.0577-7402.2023.05.0587
  • Central Guide Local Science and Technology Development Special Fund(YDZX20191400002563)
  • Shanxi Provincial Medical Key Project(2020XM22)
Year 2023 volume 48 Issue 5
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Article Info
doi: 10.11855/j.issn.0577-7402.2023.05.0587
  • Receive Date:2022-03-11
  • Online Date:2025-12-03
  • Published:2023-05-28
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History
  • Received:2022-03-11
  • Accepted:2022-04-10
Funding
Central Guide Local Science and Technology Development Special Fund(YDZX20191400002563)
Shanxi Provincial Medical Key Project(2020XM22)
Affiliations
    1Department of Medical Imaging, Shanxi Medical University, Taiyuan, Shanxi 030001, China
    2the First Clinical Medical College, Shanxi Medical University, Taiyuan, Shanxi 030001, China
    3Department of Neurology, the First Affiliated Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China
    4Shanxi Provincial Key Laboratory of Mathematical Technology and Big Data Analysis for Disease Control and Prevention, Shanxi University, Taiyuan, Shanxi 030006, China

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表12种不同金属材料的力学参数

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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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