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. 2021 May 4;3(2):fcab097. doi: 10.1093/braincomms/fcab097

Table 3.

Influence of AIPS-M1 FC on motor recovery after stroke

AIPS-M1


Outcome
Predictor Model summary
Coef. P R²
NIHSS T2/3 AIPS-M1 24.00 0.016* 0.59*
NIHSS T1 0.45 0.208
UEFM T2/3 AIPS-M1 −21.55 0.670 0.54*
UEFM T1 1.06 0.011*
MRS T2/3 AIPS-M1 3.31 0.021* 0.59*
MRS T1 1.48 0.009*
BI T2/3 AIPS-M1 37.03 0.561 0.46*
BI T1 1.59 0.036*
Age −2.16 0.078

Coefficients are given incl. their P-values (within regression model) for individual models for the four outcome variables (dependent variable) and AIPS-M1 FC at T1 as the main predictor of interest.

*

Significant predictors or overall model fit. R2 shows multiple R2.

For completeness, model results are given including AIPS-M1 predictor although stepwise backward model simplification resulted in a simple model with UEFM at T1 as the only relevant variable.