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Table 7 Affective subsyndrome analyses

From: White matter hyperintensities and smaller cortical thickness are associated with neuropsychiatric symptoms in neurodegenerative and cerebrovascular diseases

 

1000 (89/500)

0.0525

(44/500)

0.0479

(24/500)

0.0631

(34/500)

0.0661

(31/500)

0.0603

(34/500)

0.0575

(48/500)

0.0549

(42/500)

(Intercept)

0.800

3.419

3.553

3.124

3.046

3.200

3.275

3.348

AGE

0.000

 − 0.008

 − 0.009

 − 0.006

 − 0.006

 − 0.007

 − 0.007

 − 0.008

Sex(female)

0.000

 − 0.121

 − 0.134

 − 0.090

 − 0.082

 − 0.098

 − 0.106

 − 0.113

Sex(Male)

0.000

0.009

0.011

 − 0.004

0.003

0.006

0.007

0.008

MoCA TOTAL

0.000

 − 0.033

 − 0.034

 − 0.029

 − 0.027

 − 0.030

 − 0.031

 − 0.032

LH LATERAL OCCIPITAL THICKNESS

0.000

0.614

0.657

0.519

0.492

0.544

0.566

0.591

LH LATERAL ORBITOFRONTAL THICKNESS

0.000

0.345

0.420

0.173

0.127

0.217

0.261

0.305

LH LINGUAL THICKNESS

0.000

0.424

0.442

0.384

0.375

0.393

0.405

0.414

LH PERICALCARINE THICKNESS

0.000

0.111

0.140

0.040

0.019

0.059

0.078

0.095

LH POSTERIOR CINGULATE THICKNESS

0.000

 − 0.118

 − 0.146

 − 0.048

 − 0.027

 − 0.067

 − 0.086

 − 0.103

LH SUPERIOR TEMPORAL THICKNESS

0.000

0.000

 − 0.002

0.000

0.000

0.000

0.000

0.000

RH CAUDAL ANTERIOR CINGULATE THICKNESS

0.000

 − 0.279

 − 0.299

 − 0.233

 − 0.218

 − 0.246

 − 0.258

 − 0.269

RH MIDDLE TEMPORAL THICKNESS

0.000

 − 0.019

 − 0.035

0.000

0.000

0.000

0.000

 − 0.009

RH PARS-TRIANGULARIS THICKNESS

0.000

 − 0.726

 − 0.761

 − 0.633

 − 0.602

 − 0.622

 − 0.687

 − 0.707

RH TEMPORAL POLE THICKNESS

0.000

 − 0.107

 − 0.122

 − 0.072

 − 0.059

 − 0.083

 − 0.091

 − 0.100

RH INSULA THICKNESS

0.000

 − 0.040

 − 0.060

0.000

0.000

 − 0.004

 − 0.018

 − 0.028

RP WMH

0.000

 − 0.002

 − 0.005

0.000

0.000

0.000

0.000

0.000

LO WMH

0.000

 − 0.050

 − 0.055

 − 0.036

 − 0.032

 − 0.040

 − 0.044

 − 0.048

RBGT WMH

0.000

0.197

0.211

0.169

0.161

0.176

0.183

0.190

  1. Row names indicate variables selected, column names indicate the lambda parameter and how many times out of 500 repeats that the lambda parameter had the lowest mean square error for our repeated cross-validation. Values in the cells are coefficients from the full data sample for the corresponding selected variables (rows) under the penalisation parameter (columns)
  2. MoCA Montreal Cognitive Assessment, LH Left hemisphere, LO WMH Left occipital white matter hyperintensities, RBGT WMH Right basal ganglia/thalamus white matter hyperintensities, RH Right hemisphere