Literature DB >> 27060953

Searching for Primary Predictors of Conversion from Mild Cognitive Impairment to Alzheimer's Disease: A Multivariate Follow-Up Study.

María Eugenia López1,2,3, Agustín Turrero3,4, Pablo Cuesta2, David López-Sanz2,5, Ricardo Bruña2, Alberto Marcos3,6, Pedro Gil3,7, Miguel Yus3,8, Ana Barabash3,9, José Antonio Cabranes3,9, Fernando Maestú2,3,5, Alberto Fernández2,3,10.   

Abstract

Recent proposals of diagnostic criteria within the healthy aging-Alzheimer's disease (AD) continuum stressed the role of biomarker information. More importantly, such information might be critical to predict those mild cognitive impairment (MCI) patients at a higher risk of conversion to AD. Usually, follow-up studies utilize a reduced number of potential markers although the conversion phenomenon may be deemed as multifactorial in essence. In addition, not only biological but also cognitive markers may play an important role. Considering this background, we investigated the role of cognitive reserve, cognitive performance in neuropsychological testing, hippocampal volumes, APOE genotype, and magnetoencephalography power sources to predict the conversion to AD in a sample of 33 MCI patients. MCIs were followed up during a 2-year period and divided into two subgroups according to their outcome: The "stable" MCI group (sMCI, 21 subjects) and the "progressive" MCI group (pMCI, 12 subjects). Baseline multifactorial information was submitted to a hierarchical logistic regression analysis to build a predictive model of conversion to AD. Results indicated that the combination of left hippocampal volume, occipital cortex theta power, and clock drawing copy subtest scores predicted conversion to AD with a 100% of sensitivity and 94.7% of specificity. According to these results it might be suggested that anatomical, cognitive, and neurophysiological markers may be considered as "first order" predictors of progression to AD, while APOE or cognitive reserve proxies might play a more secondary role.

Entities:  

Keywords:  APOE; Alzheimer’s disease; cognitive reserve; hippocampal volume; magnetoencephalography; mild cognitive impairment; neuropsychological tests; predictive model

Mesh:

Substances:

Year:  2016        PMID: 27060953     DOI: 10.3233/JAD-151034

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  15 in total

1.  A multivariate model of time to conversion from mild cognitive impairment to Alzheimer's disease.

Authors:  María Eugenia López; Agustín Turrero; Pablo Cuesta; Inmaculada Concepción Rodríguez-Rojo; Ana Barabash; Alberto Marcos; Fernando Maestú; Alberto Fernández
Journal:  Geroscience       Date:  2020-09-04       Impact factor: 7.713

Review 2.  Revolution of Alzheimer Precision Neurology. Passageway of Systems Biology and Neurophysiology.

Authors:  Harald Hampel; Nicola Toschi; Claudio Babiloni; Filippo Baldacci; Keith L Black; Arun L W Bokde; René S Bun; Francesco Cacciola; Enrica Cavedo; Patrizia A Chiesa; Olivier Colliot; Cristina-Maria Coman; Bruno Dubois; Andrea Duggento; Stanley Durrleman; Maria-Teresa Ferretti; Nathalie George; Remy Genthon; Marie-Odile Habert; Karl Herholz; Yosef Koronyo; Maya Koronyo-Hamaoui; Foudil Lamari; Todd Langevin; Stéphane Lehéricy; Jean Lorenceau; Christian Neri; Robert Nisticò; Francis Nyasse-Messene; Craig Ritchie; Simone Rossi; Emiliano Santarnecchi; Olaf Sporns; Steven R Verdooner; Andrea Vergallo; Nicolas Villain; Erfan Younesi; Francesco Garaci; Simone Lista
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

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

Authors:  Carlos Platero; María Eugenia López; María Del Carmen Tobar; Miguel Yus; Fernando Maestu
Journal:  Hum Brain Mapp       Date:  2018-11-19       Impact factor: 5.038

4.  How to Build a Functional Connectomic Biomarker for Mild Cognitive Impairment From Source Reconstructed MEG Resting-State Activity: The Combination of ROI Representation and Connectivity Estimator Matters.

Authors:  Stavros I Dimitriadis; María E López; Ricardo Bruña; Pablo Cuesta; Alberto Marcos; Fernando Maestú; Ernesto Pereda
Journal:  Front Neurosci       Date:  2018-06-01       Impact factor: 5.152

5.  Electromagnetic signatures of the preclinical and prodromal stages of Alzheimer's disease.

Authors:  Akinori Nakamura; Pablo Cuesta; Alberto Fernández; Yutaka Arahata; Kaori Iwata; Izumi Kuratsubo; Masahiko Bundo; Hideyuki Hattori; Takashi Sakurai; Koji Fukuda; Yukihiko Washimi; Hidetoshi Endo; Akinori Takeda; Kersten Diers; Ricardo Bajo; Fernando Maestú; Kengo Ito; Takashi Kato
Journal:  Brain       Date:  2018-05-01       Impact factor: 13.501

Review 6.  The Role of Magnetoencephalography in the Early Stages of Alzheimer's Disease.

Authors:  David López-Sanz; Noelia Serrano; Fernando Maestú
Journal:  Front Neurosci       Date:  2018-08-15       Impact factor: 4.677

7.  Combining Cognitive, Genetic, and Structural Neuroimaging Markers to Identify Individuals with Increased Dementia Risk.

Authors:  Nicola M Payton; Grégoria Kalpouzos; Debora Rizzuto; Laura Fratiglioni; Miia Kivipelto; Lars Bäckman; Erika J Laukka
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

8.  Modeling the Switching Behavior of Functional Connectivity Microstates (FCμstates) as a Novel Biomarker for Mild Cognitive Impairment.

Authors:  Stavros I Dimitriadis; María Eugenia López; Fernando Maestu; Ernesto Pereda
Journal:  Front Neurosci       Date:  2019-06-11       Impact factor: 4.677

9.  Functional brain networks reveal the existence of cognitive reserve and the interplay between network topology and dynamics.

Authors:  Johann H Martínez; María Eugenia López; Pedro Ariza; Mario Chavez; José A Pineda-Pardo; David López-Sanz; Pedro Gil; Fernando Maestú; Javier M Buldú
Journal:  Sci Rep       Date:  2018-07-12       Impact factor: 4.379

10.  Biomagnetic biomarkers for dementia: A pilot multicentre study with a recommended methodological framework for magnetoencephalography.

Authors:  Laura E Hughes; Richard N Henson; Ernesto Pereda; Ricardo Bruña; David López-Sanz; Andrew J Quinn; Mark W Woolrich; Anna C Nobre; James B Rowe; Fernando Maestú
Journal:  Alzheimers Dement (Amst)       Date:  2019-06-14
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