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Automated Hippocampal Subfield Measures as Predictors of Conversion from Mild Cognitive Impairment to Alzheimer's Disease in Two Independent Cohorts.
Brain Topogr 2015; 28(5):746-759BT

Abstract

Previous studies have shown that hippocampal subfields may be differentially affected by Alzheimer's disease (AD). This study used an automated analysis technique and two large cohorts to (1) investigate patterns of subfield volume loss in mild cognitive impairment (MCI) and AD, (2) determine the pattern of subfield volume loss due to age, gender, education, APOE ε4 genotype, and neuropsychological test scores, (3) compare combined subfield volumes to hippocampal volume alone at discriminating between AD and healthy controls (HC), and predicting future MCI conversion to AD at 12 months. 1,069 subjects were selected from the AddNeuroMed and Alzheimer's disease neuroimaging initiative (ADNI) cohorts. Freesurfer was used for automated segmentation of the hippocampus and hippocampal subfields. Orthogonal partial least squares to latent structures (OPLS) was used to train models on AD and HC subjects using one cohort for training and the other for testing and the combined cohort was used to predict MCI conversion. MANCOVA and linear regression analyses showed multiple subfield volumes including Cornu Ammonis 1 (CA1), subiculum and presubiculum were atrophied in AD and MCI and were related to age, gender, education, APOE ε4 genotype, and neuropsychological test scores. For classifying AD from HC, combined subfield volumes achieved comparable classification accuracy (81.7%) to total hippocampal (80.7%), subiculum (81.2%) and presubiculum (80.6%) volume. For predicting MCI conversion to AD combined subfield volumes and presubiculum volume were more accurate (81.1%) than total hippocampal volume. (76.7%).

Authors+Show Affiliations

Department of Neuroimaging, Institute of Psychiatry, King's College London, De Crespigny Park, London, SE5 8AF, UK.Department of Neuroimaging, Institute of Psychiatry, King's College London, De Crespigny Park, London, SE5 8AF, UK. Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.Department of Neuroimaging, Institute of Psychiatry, King's College London, De Crespigny Park, London, SE5 8AF, UK. NIHR Biomedical Research Centre for Mental Health, London, UK.Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.Institute of Gerontology and Geriatrics, University of Perugia, Perugia, Italy.INSERM U 558, University of Toulouse, Toulouse, France.Aristotle University of Thessaloniki, Thessaloniki, Greece.Medical University of Lodz, Lodz, Poland.Department of Neurology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland.Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.Department of Neuroimaging, Institute of Psychiatry, King's College London, De Crespigny Park, London, SE5 8AF, UK.Department of Neuroimaging, Institute of Psychiatry, King's College London, De Crespigny Park, London, SE5 8AF, UK. NIHR Biomedical Research Centre for Mental Health, London, UK.Department of Neuroimaging, Institute of Psychiatry, King's College London, De Crespigny Park, London, SE5 8AF, UK. andy.simmons@kcl.ac.uk. NIHR Biomedical Research Centre for Mental Health, London, UK. andy.simmons@kcl.ac.uk.No affiliation info available

Pub Type(s)

Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.

Language

eng

PubMed ID

25370484

Citation

Khan, Wasim, et al. "Automated Hippocampal Subfield Measures as Predictors of Conversion From Mild Cognitive Impairment to Alzheimer's Disease in Two Independent Cohorts." Brain Topography, vol. 28, no. 5, 2015, pp. 746-759.
Khan W, Westman E, Jones N, et al. Automated Hippocampal Subfield Measures as Predictors of Conversion from Mild Cognitive Impairment to Alzheimer's Disease in Two Independent Cohorts. Brain Topogr. 2015;28(5):746-759.
Khan, W., Westman, E., Jones, N., Wahlund, L. O., Mecocci, P., Vellas, B., ... Simmons, A. (2015). Automated Hippocampal Subfield Measures as Predictors of Conversion from Mild Cognitive Impairment to Alzheimer's Disease in Two Independent Cohorts. Brain Topography, 28(5), pp. 746-759. doi:10.1007/s10548-014-0415-1.
Khan W, et al. Automated Hippocampal Subfield Measures as Predictors of Conversion From Mild Cognitive Impairment to Alzheimer's Disease in Two Independent Cohorts. Brain Topogr. 2015;28(5):746-759. PubMed PMID: 25370484.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Automated Hippocampal Subfield Measures as Predictors of Conversion from Mild Cognitive Impairment to Alzheimer's Disease in Two Independent Cohorts. AU - Khan,Wasim, AU - Westman,Eric, AU - Jones,Nigel, AU - Wahlund,Lars-Olof, AU - Mecocci,Patrizia, AU - Vellas,Bruno, AU - Tsolaki,Magda, AU - Kłoszewska,Iwona, AU - Soininen,Hilkka, AU - Spenger,Christian, AU - Lovestone,Simon, AU - Muehlboeck,J-Sebastian, AU - Simmons,Andrew, AU - ,, Y1 - 2014/11/05/ PY - 2014/06/25/received PY - 2014/10/24/accepted PY - 2014/11/6/entrez PY - 2014/11/6/pubmed PY - 2016/5/24/medline SP - 746 EP - 759 JF - Brain topography JO - Brain Topogr VL - 28 IS - 5 N2 - Previous studies have shown that hippocampal subfields may be differentially affected by Alzheimer's disease (AD). This study used an automated analysis technique and two large cohorts to (1) investigate patterns of subfield volume loss in mild cognitive impairment (MCI) and AD, (2) determine the pattern of subfield volume loss due to age, gender, education, APOE ε4 genotype, and neuropsychological test scores, (3) compare combined subfield volumes to hippocampal volume alone at discriminating between AD and healthy controls (HC), and predicting future MCI conversion to AD at 12 months. 1,069 subjects were selected from the AddNeuroMed and Alzheimer's disease neuroimaging initiative (ADNI) cohorts. Freesurfer was used for automated segmentation of the hippocampus and hippocampal subfields. Orthogonal partial least squares to latent structures (OPLS) was used to train models on AD and HC subjects using one cohort for training and the other for testing and the combined cohort was used to predict MCI conversion. MANCOVA and linear regression analyses showed multiple subfield volumes including Cornu Ammonis 1 (CA1), subiculum and presubiculum were atrophied in AD and MCI and were related to age, gender, education, APOE ε4 genotype, and neuropsychological test scores. For classifying AD from HC, combined subfield volumes achieved comparable classification accuracy (81.7%) to total hippocampal (80.7%), subiculum (81.2%) and presubiculum (80.6%) volume. For predicting MCI conversion to AD combined subfield volumes and presubiculum volume were more accurate (81.1%) than total hippocampal volume. (76.7%). SN - 1573-6792 UR - https://www.unboundmedicine.com/medline/citation/25370484/Automated_Hippocampal_Subfield_Measures_as_Predictors_of_Conversion_from_Mild_Cognitive_Impairment_to_Alzheimer's_Disease_in_Two_Independent_Cohorts_ L2 - https://doi.org/10.1007/s10548-014-0415-1 DB - PRIME DP - Unbound Medicine ER -