CROSS-SECTIONAL SAMPLE

Exclusion criteria

ELETTRA: score < 85 on the WASI II (Wechsler 1999), and a T-score of ≤ 30 on the California Verbal Learning Test II—Alternative Version (CVLT II) (Delis et al. 2000) immediate delay and long delay  

LIISA: IQ < 85, Beck’s Depression Inventory > 20, Geriatric Depression Scale > 20, or Mini-Mental State Examination < 26  

IDs excluded: MMS = 1100639, 1100504 Note: none of the excluded participants have cognitive “deficits” reflected in measures other than their MMS scores. They have normal full IQ score, normal T-score on the CVLT.  

Should they be excluded?  

Depression, BDI & GDS = 0  

subject_id 110575 has normal IQ score, normal CVLT score, and normal MMS score before and after the MMS score that reached threshold for exclusion - will not be excluded  

Summary table

Overall (N=552)
Age
   Mean (SD) 38.840 (18.546)
   Range 6.319 - 81.500
Sex
   Female 371 (67.2%)
   Male 181 (32.8%)
CVLT
   N-Miss 63
   Mean (SD) 58.290 (9.687)
   Range 14.000 - 77.000
Stroop Reading
   N-Miss 83
   Mean (SD) 29.162 (5.606)
   Range 14.400 - 51.000
Stroop Color
   N-Miss 83
   Mean (SD) 21.433 (4.518)
   Range 10.200 - 61.000
Stroop Interference
   N-Miss 83
   Mean (SD) 49.317 (11.211)
   Range 29.000 - 112.000
Stroop Interference and Switching
   N-Miss 84
   Mean (SD) 55.941 (13.289)
   Range 28.000 - 136.000
Stroop Reaction Time Score
   N-Miss 83
   Mean (SD) 1.957 (0.304)
   Range 1.220 - 3.509
Matrix
   N-Miss 25
   Mean (SD) 27.848 (3.959)
   Range 6.000 - 34.000
Vocabulary
   N-Miss 25
   Mean (SD) 62.140 (9.150)
   Range 20.000 - 79.000

Linear models for neuropsychological tests

Correlation between Stroop RT conditions (1:4)  

Pearson’s product-moment correlation

data: RT_condition_3 and RT_condition_4 t = 18.535, df = 468, p-value < 2.2e-16 alternative hypothesis: true correlation is greater than 0 95 percent confidence interval: 0.6045505 1.0000000 sample estimates: cor 0.6506371

Pearson's product-moment correlation

data: RT_condition_1 and RT_condition_2 t = 17.167, df = 469, p-value < 2.2e-16 alternative hypothesis: true correlation is greater than 0 95 percent confidence interval: 0.5722992 1.0000000 sample estimates: cor 0.6212073

Pearson's product-moment correlation

data: RT_condition_1 and RT_condition_3 t = 22.202, df = 469, p-value < 2.2e-16 alternative hypothesis: true correlation is greater than 0 95 percent confidence interval: 0.676721 1.000000 sample estimates: cor 0.7158463

Pearson's product-moment correlation

data: RT_condition_1 and RT_condition_4 t = 14.166, df = 468, p-value < 2.2e-16 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.4812048 0.6081268 sample estimates: cor 0.5478102

Stroop & Age - linear model

CVLT & Age - linear model

Matrix Reasoning & Age - linear model

Vocabulary & age simple linear model

## 
## Call:
## lm(formula = IQ_Vocab_Raw ~ Test_Age, data = selectedBehavVar)
## 
## Coefficients:
## (Intercept)     Test_Age  
##     54.6820       0.1976

Head movement and Age - linear model

MRIQC CJV, structural  

“Coefficient of joint variation (CJV): The cjv of GM and WM was proposed as objective function by [Ganzetti2016] for the optimization of INU correction algorithms. Higher values are related to the presence of heavy head motion and large INU artifacts. Lower values are better.” https://mriqc.readthedocs.io/en/latest/iqms/t1w.html#iqms-t1w  

LONGITUDINAL DATA

Summary table longitudinal data

1 (N=222) 2 (N=188) 3 (N=30) 4 (N=12) 5 (N=7) 6 (N=3) Total (N=462) p value
Age < 0.001
   Mean (SD) 39.137 (22.608) 44.038 (22.637) 49.153 (26.325) 73.954 (3.618) 73.034 (2.793) 74.697 (2.420) 43.431 (23.495)
   Range 4.650 - 78.590 6.240 - 78.810 15.670 - 79.000 69.590 - 81.150 70.210 - 77.440 72.100 - 76.890 4.650 - 81.150
Sex 0.266
   Female 127 (57.2%) 108 (57.4%) 22 (73.3%) 9 (75.0%) 6 (85.7%) 2 (66.7%) 274 (59.3%)
   Male 95 (42.8%) 80 (42.6%) 8 (26.7%) 3 (25.0%) 1 (14.3%) 1 (33.3%) 188 (40.7%)
Interval Score < 0.001
   Mean (SD) -5.955 (2.950) -3.393 (1.781) -1.032 (1.297) -2.087 (1.041) -2.118 (1.150) -0.007 (0.004) -4.396 (2.876)
   Range -9.963 - 0.000 -6.108 - 0.000 -3.529 - 0.000 -3.318 - -0.005 -3.107 - -0.016 -0.011 - -0.003 -9.963 - 0.000
CVLT < 0.001
   N-Miss 41 0 1 0 0 0 42
   Mean (SD) 54.823 (10.445) 58.676 (10.601) 61.138 (10.067) 60.250 (15.064) 65.429 (6.828) 58.333 (14.048) 57.340 (10.828)
   Range 27.000 - 77.000 14.000 - 76.000 34.000 - 73.000 24.000 - 77.000 55.000 - 76.000 45.000 - 73.000 14.000 - 77.000
Stroop Reading < 0.001
   N-Miss 42 40 12 11 6 0 111
   Mean (SD) 31.856 (6.509) 28.665 (5.180) 26.889 (4.444) 34.000 (NA) 36.000 (NA) 33.667 (11.240) 30.289 (6.150)
   Range 20.000 - 53.300 17.000 - 49.500 19.000 - 35.000 34.000 - 34.000 36.000 - 36.000 24.000 - 46.000 17.000 - 53.300
Stroop Color 0.002
   N-Miss 42 40 12 11 6 0 111
   Mean (SD) 22.892 (4.658) 21.234 (3.580) 19.611 (2.852) 22.000 (NA) 24.000 (NA) 21.667 (2.887) 22.015 (4.229)
   Range 15.000 - 43.000 15.000 - 33.000 14.000 - 27.000 22.000 - 22.000 24.000 - 24.000 20.000 - 25.000 14.000 - 43.000
Stroop Interference < 0.001
   N-Miss 42 40 13 11 6 0 112
   Mean (SD) 57.469 (15.694) 49.977 (10.601) 44.294 (6.989) 58.000 (NA) 64.000 (NA) 67.333 (12.220) 53.766 (14.008)
   Range 32.000 - 112.400 31.000 - 85.000 29.000 - 59.000 58.000 - 58.000 64.000 - 64.000 54.000 - 78.000 29.000 - 112.400
Stroop Interference and Switching < 0.001
   N-Miss 43 40 12 11 6 0 112
   Mean (SD) 63.979 (17.705) 56.912 (12.884) 48.333 (15.328) 72.000 (NA) 86.000 (NA) 70.667 (7.024) 60.330 (16.246)
   Range 37.000 - 170.000 36.000 - 98.000 2.000 - 70.000 72.000 - 72.000 86.000 - 86.000 64.000 - 78.000 2.000 - 170.000
RT over reading 0.114
   N-Miss 42 40 13 11 6 0 112
   Mean (SD) 1.806 (0.317) 1.752 (0.256) 1.658 (0.236) 1.706 (NA) 1.778 (NA) 2.068 (0.322) 1.778 (0.291)
   Range 1.139 - 2.800 1.278 - 2.692 1.367 - 2.136 1.706 - 1.706 1.778 - 1.778 1.696 - 2.258 1.139 - 2.800
RT over reading and color 0.016
   N-Miss 42 40 13 11 6 0 112
   Mean (SD) 2.096 (0.379) 2.004 (0.271) 1.910 (0.259) 2.071 (NA) 2.133 (NA) 2.466 (0.274) 2.051 (0.335)
   Range 1.222 - 3.500 1.393 - 2.857 1.541 - 2.410 2.071 - 2.071 2.133 - 2.133 2.197 - 2.745 1.222 - 3.500
Matrix 0.130
   N-Miss 26 17 12 11 6 0 72
   Mean (SD) 26.893 (4.438) 27.825 (4.666) 29.167 (2.956) 22.000 (NA) 25.000 (NA) 27.333 (3.512) 27.392 (4.503)
   Range 7.000 - 35.000 7.000 - 35.000 23.000 - 34.000 22.000 - 22.000 25.000 - 25.000 24.000 - 31.000 7.000 - 35.000
Vocabulary 0.133
   N-Miss 26 16 12 11 6 0 71
   Mean (SD) 57.444 (13.553) 60.192 (10.868) 60.944 (8.228) 69.000 (NA) 68.000 (NA) 69.000 (7.937) 58.959 (12.253)
   Range 13.000 - 79.000 20.000 - 78.000 48.000 - 76.000 69.000 - 69.000 68.000 - 68.000 60.000 - 75.000 13.000 - 79.000

Visit number and wave code for stroop scores

Trajectory of cognitive variables before fMRI task

RT Score & Age before fMRI task  

RT Score = Stroop time Inhibition / mean(Stroop time Reading & Stroop time Color)

Trajectory of cognitive variables - including timepoints fMRI acquisition

All cognitive measures & age before and after fMRI task  

Subject IDs (NCP) with vertical lines between data points (CVLT): 1200009 1200013 1200032 1200103 1200110 1200123 1200150 1200171 1200199 1200235

## [1] "numeric"
## $`1200009`

## 
## $`1200013`

## 
## $`1200032`

## 
## $`1200103`

## 
## $`1200110`

## 
## $`1200123`

## 
## $`1200150`

## 
## $`1200171`

## 
## $`1200199`

## 
## $`1200201`

## 
## $`1200235`