Table 2 Results of linear regression models predicting standardized neuropsychological scores by HIP scores.

WCST total errors

\(F_{{\left( {1, 53} \right)}} =\) 1.510

.028

.901

[− .570, 2.373]

.168

.225

WCST nonperseverative errors

\(F_{{\left( {1, 53} \right)}} =\).113

.002

.249

[− 1.238, 1.737]

.047

.738

WCST perseverative errors

\(F_{{\left( {1, 53} \right)}} =\) 5.028

.088

2.010

[.211, 3.808]

.297

.029

WCST perseverative responses

\(F_{{\left( {1, 53} \right)}} =\) 5.277

.092

2.092

[.264, 3.919]

.304

.026

WCST number of trials

\(F_{{\left( {1, 53} \right)}} =\).192

.004

.376

[− 1.348, 2.100]

.060

.663

TMT 1 Visual Scanning

\(F_{{\left( {1, 68} \right)}} =\) 2.380

.034

− .126

[− .288, .037]

− .184

.128

TMT 2 number sequencing

\(F_{{\left( {1, 68} \right)}} =\) 7.390

.098

− .223

[− .386, − .059]

− .313

.008

TMT 3 letter sequencing

\(F_{{\left( {1, 68} \right)}} =\) 1.530

.022

− .116

[− .302, .071]

− .148

.220

TMT 4 letter-number sequencing

\(F_{{\left( {1, 68} \right)}} =\) 3.120

.044

− .177

[− .376, .023]

− .209

.082

TMT 5 motor speed

\(F_{{\left( {1, 68} \right)}} =\) 2.239

.032

− .120

[− .280, .040]

− .179

.139

TMT Delta 4 versus 1

\(F_{{\left( {1, 68} \right)}} =\).218

.003

− .051

[− .269, .167]

− .056

.642

TMT Delta 4 versus 2

\(F_{{\left( {1, 68} \right)}} =\).242

.004

.046

[− .140, .232]

.060

.624

TMT Delta 4 versus 3

\(F_{{\left( {1, 68} \right)}} =\).388

.006

− .061

[− .257, .135]

− .075

.535