Discriminating Alzheimer's disease progression using a new hippocampal marker from T1-weighted MRI: the local surface roughness

Platero Dueñas, Carlos and López García, María Eugenia and Tobar Puente, M. del Carmen and Yus, Miguel and Maestú, Fernando (2019). Discriminating Alzheimer's disease progression using a new hippocampal marker from T1-weighted MRI: the local surface roughness. "Human Brain Mapping", v. 40 (n. 5); pp. 1666-1676. ISSN 1065-9471. https://doi.org/10.1002/hbm.24478.

Description

Title: Discriminating Alzheimer's disease progression using a new hippocampal marker from T1-weighted MRI: the local surface roughness
Author/s:
  • Platero Dueñas, Carlos
  • López García, María Eugenia
  • Tobar Puente, M. del Carmen
  • Yus, Miguel
  • Maestú, Fernando
Item Type: Article
Título de Revista/Publicación: Human Brain Mapping
Date: April 2019
ISSN: 1065-9471
Volume: 40
Subjects:
Freetext Keywords: Alzheimer’s disease continuum; Hippocampal biomarkers; Hippocampal segmentation; Local surface roughness; Progression to AD
Faculty: E.T.S.I. Diseño Industrial (UPM)
Department: Ingeniería Eléctrica, Electrónica Automática y Física Aplicada
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Hippocampal atrophy is one of the main hallmarks of Alzheimer's disease (AD). However, there is still controversy about whether this sign is a robust finding during the early stages of the disease, such as in mild cognitive impairment (MCI) and subjective cognitive decline (SCD). Considering this background, we proposed a new marker for assessing hippocampal atrophy: the local surface roughness (LSR). We tested this marker in a sample of 307 subjects (normal control (NC) = 70, SCD = 87, MCI = 137, AD = 13). In addition, 97 patients with MCI were followed-up over a 3-year period and classified as stable MCI (sMCI) (n = 61) or progressive MCI (pMCI) (n = 36). We did not find significant differences using traditional markers, such as normalized hippocampal volumes (NHV), between the NC and SCD groups or between the sMCI and pMCI groups. However, with LSR we found significant differences between the sMCI and pMCI groups and a better ability to discriminate between NC and SCD. The classification accuracy of the LSR for NC and SCD was 68.2%, while NHV had a 57.2% accuracy. In addition, the classification accuracy of the LSR for sMCI and pMCI was 74.3%, and NHV had a 68.3% accuracy. Cox proportional hazards models adjusted for age, sex, and education were used to estimate the relative hazard of progression from MCI to AD based on hippocampal markers and conversion times. The LSR marker showed better prediction of conversion to AD than NHV. These results suggest the relevance of considering the LSR as a new hipocampal marker for the AD continuum.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainPSI2009-14415-C03-01UnspecifiedFernando Maestú UnturbeExecutive functions impairment in MCI patients: multidisciplinary study for the early diagnosis of AD
Government of SpainPSI2012-38375-C03-01UnspecifiedUniversidad ComplutenseEntendiendo las quejas de memoria en el envejecimiento: una aproximación desde la genética, la neuropsicología y la conectividad anatomo-funcional
Government of SpainIJCI-2016-30662UnspecifiedMaría Eugenia López GarcíaPostdoctoral fellowship

More information

Item ID: 63172
DC Identifier: http://oa.upm.es/63172/
OAI Identifier: oai:oa.upm.es:63172
DOI: 10.1002/hbm.24478
Official URL: https://onlinelibrary.wiley.com/doi/full/10.1002/hbm.24478
Deposited by: Memoria Investigacion
Deposited on: 01 Sep 2020 11:44
Last Modified: 01 Sep 2020 11:44
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