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. 2020 Nov 30;13(1):1314–1331. doi: 10.18632/aging.202313

Table 1. Demographic characteristics, clinical measures, and head rotation parameters of SCD subjects and CN.

Items CN SCD
n=55 n=38
Age (years) 62.91(5.94) 65.84(7.73)
Gender (male/female) 23/32 8/30
Education level (years) 12.51(2.51) 12.22(2.72)
MMSE 28.58(1.43) 28.32(2.63)
MoCA 25.05(2.42) 24.92(1.79)
MDRS 141.46(2.33) 140.37(3.05)
HAMD 1.82(2.26) 3.92(3.17) a
SCD-Q 3.55(1.50) 6.51(0.90) a
ITV 1130.24(114.65) 1083.55(109.21) a
Episodic memory tests
AVLT-IR range 10~31 11~28
raw score 19.15(4.36) 18.66(4.22)
Z score 0.35(0.94) 0.25(0.91)
AVLT-5min-DR range 0~11 3~10
raw score 6.35(2.20) 6.26(1.90)
Z score 0.34(0.93) 0.31(0.80)
AVLT-20min-DR range 2~10 3~11
raw score 6.30(1.94) 6.32(2.12)
Z score 0.40(0.73) 0.41(0.80)
AVLT-total range 17~51 19~48
raw score 31.79(7.61) 31.24(7.39)
Composite Z scores of each cognitive domain
Episodic memory 0.27(0.53) 0.34(0.59)
Information processing speed 0.27(0.67) 0.18(0.71)
Executive function 0.27(0.48) 0.30(0.57)
Visuospatial function 0.17(0.66) 0.26(0.50)
Head rotation parameters
FD_VanDijk 0.05(0.03) 0.04(0.03)
FD_Power 0.18(0.08) 0.16(0.09)
FD_Jenkinson 0.09(0.04) 0.09(0.05)

Data are presented as the mean (standard deviation, SD). Abbreviations: CN, healthy controls; SCD, subjective cognitive decline; MMSE, Mini Mental State Examination; MoCA, Montreal Cognitive Assessment; MDRS, Mattis Dementia Rating Scale; HAMD, Hamilton Depression Scale; SCD-Q, Subjective Cognitive Decline-Questionnaire; ITV, intracranial volume;AVLT-IR, Auditory Verbal Learning Test – immediate recall; AVLT-5min-DR, Auditory Verbal Learning Test – 5-minute delayed recall; AVLT-20min-DR, Auditory Verbal Learning Test – 20-minute delayed recall; FD, framewise displacement. a Significant differences were found between CN and SCD subjects. MMSE, MoCA, and MDRS are displayed as raw scores. This study used the composite Z scores to indicate the level of each cognitive domain. Note: this study used a re-sampling method of stationary bootstrap (10,000 bootstrap samplings) to improve the statistical power.