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Table 2 Cortical investigation

From: Intracortical diffusion tensor imaging signature of microstructural changes in frontotemporal lobar degeneration

Training cohort

AngleR

PerpPD

ParlPD

MD

Cortical thickness

GM_fr

HS vs SV

η2p=0.159*

η2p =0.374*

η2p =0.166*

η2p =0.168*

η2p =0.279*

η2p =0.146*

HS vs BV

η2p =0.116*

η2p =0.537*

η2p =0.426*

η2p =0.353*

η2p =0.327*

η2p =0334*

HS vs PNFA

η2p =0.064

η2p =0.314*

η2p =0.173*

η2p =0115*

η2p =0.055

η2p =0.040

HS vs CBS

η2p =0.021

η2p =0.338*

η2p =0.220*

η2p =0.116*

η2p =0.061

η2p =0.049

HS vs PSP-RS

η2p =0.004

η2p =0.126*

η2p =0.123*

η2p =0.060

η2p =0078

η2p =0.087

SV vs BV

η2p =0.010

η2p =0.020

η2p =0.064

η2p =0.027

η2p =0.000

η2p =0.030

SV vs PNFA

η2p =0.021

η2p =0.009

η2p =0.000

η2p =0.006

η2p =0.088

η2p =0.028

SV vs CBS

η2p =0.065

η2p =0.019

η2p =0.000

η2p =0.014

η2p =0.107*

η2p =0.033

SV vs PSP-RS

η2p =0.108*

η2p =0.158*

η2p =0.019

η2p =0.050

η2p =0.114*

η2p =0.022

BV vs PNFA

η2p =0.003

η2p =0.059

η2p =0.067

η2p =0.062

η2p=0.094*

η2p =0.116*

BV vs CBS

η2p =0.031

η2p =0.098*

η2p =0.073

η2p =0.090

η2p =0.119*

η2p =0.116

BV vs PSP-RS

η2p =0.065

η2p =0.291*

η2p =0.173*

η2p =0.165*

η2p =0.125*

η2p =0.120

PNFA vs CBS

η2p =0.013

η2p =0.001

η2p =0.000

η2p =0.001

η2p =0.000

η2p =0.000

PNFA vs PSP-RS

η2p =0.037

η2p =0.109*

η2p =0.021

η2p =0.021

η2p =0.000

η2p =0.002

CBS vs PSP-RS

η2p =0.006

η2p =0.100*

η2p =0.028

η2p =0.014

η2p =0.000

η2p =0.002

Test cohort

AngleR

PerpPD

ParlPD

MD

Cortical thickness

GM_fr

HS vs SV

η2p =0.293*

η2p =0.340*

η2p =0.100*

η2p =0.188*

η2p =0.228*

η2p =0.141*

HS vs BV

η2p =0.229*

η2p =0.362*

η2p =0.170*

η2p =0.264*

η2p =0.257*

η2p =0.205*

HS vs PNFA

η2p =0.072

η2p =0.247*

η2p =0.108*

η2p =0.168*

η2p =0.045

η2p =0.043

HS vs CBS

η2p =0.118*

η2p =0.248*

η2p =0.102*

η2p =0.215*

η2p =0.058

η2p =0.086

HS vs PSP-RS

η2p =0.101*

η2p =0.109*

η2p =0.007

η2p =0.033

η2p =0.000

η2p =0.039

SV vs BV

η2p =0.002

η2p =0.010

η2p =0.023

η2p =0.027

η2p =0.009

η2p =0.020

SV vs PNFA

η2p =0.046

η2p =0.001

η2p =0.006

η2p =0.004

η2p =0.039

η2p =0.010

SV vs CBS

η2p =0.067

η2p =0.019

η2p =0.000

η2p =0.002

η2p =0.066

η2p =0.004

SV vs PSP-RS

η2p =0.042

η2p =0.180*

η2p =0.113*

η2p =0.046

η2p =0.151*

η2p =0.019

BV vs PNFA

η2p =0.030

η2p =0.005

η2p =0.002

η2p =0.004

η2p =0.065

η2p =0.040

BV vs CBS

η2p =0.041

η2p =0.048

η2p =0.029

η2p =0.013

η2p =0.102*

η2p =0.037

BV vs PSP-RS

η2p =0.024

η2p =0.210*

η2p =0.171*

η2p =0.102*

η2p =0.179*

η2p =0.057

PNFA vs CBS

η2p =0.001

η2p =0.012

η2p =0.011

η2p =0.000

η2p =0.000

η2p =0.002

PNFA vs PSP-RS

η2p =0.001

η2p =0.146*

η2p =0.131*

η2p =0.061

η2p =0.030

η2p =0.000

CBS vs PSP-RS

η2p =0.000

η2p =0.114*

η2p =0.102*

η2p =0.065

η2p =0.033

η2p =0.006

  1. General Linear Model (GLM) post hoc. η2p = partial eta-squared. All values reported remained statistically significant after false discovery rate correction (FDR < 0.05)