Alzheimer's Research & Therapy

Table 4 The prediction results of the development and reversion of MCI based on key brain regions

From: Hippocampus-centred grey matter covariance networks predict the development and reversion of mild cognitive impairment

Normal-to-MCI progression				MCI-to-normal reversion
Predictor variable	AUC	SEN	SPE	Predictor variable	AUC	SEN	SPE
BABRI sample
Frontal_Mid	0.660 (± 0.111)	0.513	0.798	Hippocampus	0.759 (± 0.160)	0.440	0.990
Temproal_Sup	0.607 (± 0.102)	0.256	0.990	Parahippocampus	0.731 (± 0.182)	0.520	0.990
Hippocampus	0.717 (± 0.129)	0.843	0.566
ADNI sample
Frontal_Mid	0.655 (± 0.080)	0.465	0.848	Hippocampus	0.780 (± 0.117)	0.530	0.939
Temproal_Sup	0.730 (± 0.128)	0.533	0.848	Parahippocampus	0.769 (± 0.143)	0.676	0.808
Hippocampus	0.803 (± 0.113)	0.587	0.889

Abbreviations: AUC area under the curve, SEN sensitivity, SPE specificity, scDN structural covariance of the default network, scFN structural covariance of the frontoparietal network, scHN structural covariance of the hippocampal network

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ISSN: 1758-9193

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