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Cerebral autoregulation in AD and MCI Table 4 Significant Pearson (for sBP, dBP and mBP = systolic, diastolic and mean blood pressure) and Spearman (for GCA = general cortical atrophy, MTA = medial temporal lobe atrophy and MTA right) correlation coefficients between autoregula- tion parameters and general subject characteristics sBP dBP mBP GCA MTA MTA right n=54 n=54 n=54 n=30 n=30 n=30 GainLF %/% GainTotal %/% PhaseVLF rad 0.28 * PhaseLF rad 0.37 ** 0.31 * 0.35 ** PhaseTotal rad 0.41 ** 0.29 * 0.36 ** ARI 0.29 * 0.28 * CVRi mmHgs/cm 0.28 * 0.36 ** 0.38 * 0.43 * 0.49 ** Ra mmHgs/ml 0.41 * 0.46 * 0.49 ** Rp mmHgs/ml 0.30 * 0.37 ** 0.36 ** Cp ml/mmHg 0.38 * * p<0.05, ** p <0.001 Correlations Significant correlations between autoregulation parameters and subject charac- teristics are shown in table 4. To see if covariates exist for autoregulation pa- rameters and to investigate dependencies between parameters bivariate correla- tions were calculated between general subject characteristics and autoregulation parameters. For continuous parameters (e.g .blood pressures) Pearson’s correla- tion coefficient was calculated and for MRI parameters with only a few levels Spearman’s correlation coefficient was calculated. In 4 MCI cases no MRI data was present. Comparing groups incorporating significant covariates did not show additional significant differences between groups nor did it abolish pre- existing significant differences. Conversion of MCI into AD Since the beginning of the study five of the MCI patients have converted into AD. Post hoc we analysed if certain parameters could predict this conversion. We tested all parameters using a Mann-Whitney test for the converted (n=5) and non-converted (n=14) MCI patients. Only mCBFV (35 ± 5 vs. 51 ± 11 cm/s, p<0.01) and CVRi were significantly different (2.8 ± 0.6 vs. mean 2.1 ± 0.5 mmHgs/cm, p<0.05) for converted versus non-converted MCI patients. 71


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