Table 3 Resume of functional linear modeling from \({AI}_{{MP}_{trunk}}\) plus \({AI}_{L{P}_{trunk}}\) predictors combination.

AIMS

Assessment age

− 0.14

0.145

0.001**

0.99

0.83

8.39

Neuroimaging score

− 1.48

0.008**

Prematurity

− 2.11

0.004**

 \({AI}_{{MP}_{trunk}}\)

–

<0.001***

 \({AI}_{L{P}_{trunk}}\)

–

0.001**

IMP variability

Assessment age

− 1.10

0.166

0.034*

0.9

7.36

11.86

Neuroimaging score

− 7.03

0.039*

Prematurity

− 1.90

0.46

 \({AI}_{{MP}_{trunk}}\)

–

0.102

 \({AI}_{L{P}_{trunk}}\)

–

0.118

IMP symmetry

Assessment age

2.85

0.191

0.044*

0.88

23.9

30.17

Neuroimaging score

− 10.30

0.163

Prematurity

14.40

0.106

 \({AI}_{{MP}_{trunk}}\)

–

0.068

 \({AI}_{L{P}_{trunk}}\)

–

0.085

IMP fluency

Assessment age

2.63

0.427

0.784

− 0.5

42.97

63.09

Neuroimaging score

3.15

0.762

Prematurity

8.28

0.493

 \({AI}_{{MP}_{trunk}}\)

–

0.763

 \({AI}_{L{P}_{trunk}}\)

–

0.77

IMP performance

Assessment age

− 0.28

0.598

0.033*

0.9

7.2

16.82

Neuroimaging score

2.23

0.251

Prematurity

− 8.17

0.019*

 \({AI}_{{MP}_{trunk}}\)

–

0.015*

 \({AI}_{L{P}_{trunk}}\)

–

0.013*

IMP total

Assessment age

1.02

0.030*

0.004**

0.98

3.45

5.37

Neuroimaging score

− 2.99

0.041*

Prematurity

3.15

0.049*

 \({AI}_{{MP}_{trunk}}\)

–

0.004**

 \({AI}_{L{P}_{trunk}}\)

–

0.004**