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Frontiers in Aging Neuroscience logoLink to Frontiers in Aging Neuroscience
. 2020 Oct 22;12:596070. doi: 10.3389/fnagi.2020.596070

Corrigendum: Assessment of Alzheimer's Disease Based on Texture Analysis of the Entorhinal Cortex

Stephanos Leandrou 1,2,*, Demetris Lamnisos 1, Ioannis Mamais 1, Panicos A Kyriacou 2, Constantinos S Pattichis 3,4, Alzheimer's Disease and Neuroimaging Initiative
PMCID: PMC7642872  PMID: 33192491

In the original article, there was a mistake in Table 6 as published. The first column title was “NC vs. MCI” and it should be “MCI vs. MCIc.” The corrected Table 6 appears below.

TABLE 6.

Entorhinal cortex texture and volume in classifying MCI vs. MCIc.

MCI vs. MCIc ROC analysis AUC 95% CI P-value
Entorhinal cortex
Texture features
ASM 0.565 0.494–0.637 0.85
Contrast 0.583 0.510–0.657 0.028
Corelation 0.580 0.505–0.654 0.038
Variance 0.531 0.458–0.604 0.037
Sum average 0.591 0.520–0.662 0.036
Sum variance 0.527 0.451–0.603 0.475
Entropy 0.593 0.522–0.662 0.014
Cluster shade 0.696 0.632–0.759 0.032
Volume and thickness
Erc. volume 0.642 0.573–0.711 <0.001
Erc. thickness 0.670 0.603–0.737 <0.001
Features combination
Texture (ASM, correlation, variance, sum average, and cluster shade) 0.730 0.665–0.795 <0.001
Texture & Erc. volume 0.756 0.692–0.820 <0.001
Hippocampus
Hippocampal volume 0.685 0.617–0.753 <0.001

MCIc, mild cognitive impairment converter; ROC, receiver operating characteristic; AUC, area under curve; CI, confidence interval; ASM, angular second moment; Erc, entorhinal cortex.

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.


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