eprintid: 536 rev_number: 6 eprint_status: archive userid: 2 dir: disk0/00/00/05/36 datestamp: 2022-03-14 23:55:04 lastmod: 2022-03-14 23:55:05 status_changed: 2022-03-14 23:55:04 type: article metadata_visibility: show creators_name: Pistollato, Francesca creators_name: Sumalla Cano, Sandra creators_name: Elío Pascual, Iñaki creators_name: Masías Vergara, Manuel creators_name: Giampieri, Francesca creators_name: Battino, Maurizio creators_id: francesca.pistollato@uneatlantico.es creators_id: sandra.sumalla@uneatlantico.es creators_id: inaki.elio@uneatlantico.es creators_id: manuel.masias@uneatlantico.es creators_id: francesca.giampieri@uneatlantico.es creators_id: maurizio.battino@uneatlantico.es title: The Use of Neuroimaging to Assess Associations Among Diet, Nutrients, Metabolic Syndrome, and Alzheimer’s Disease ispublished: pub subjects: uneat_bm subjects: uneat_sn divisions: uneatlantico_produccion_cientifica divisions: uninimx_produccion_cientifica divisions: uninipr_produccion_cientifica full_text_status: none keywords: Alzheimer’s disease; brain anatomy; imaging; magnetic resonance imaging; metabolic syndrome; mild cognitive impairment; nutrient supplementations; nutritional patterns; positron emission tomography; type 2 diabetes abstract: In the last decade, specific dietary patterns, mainly characterized by high consumption of vegetables and fruits, have been proven beneficial for the prevention of both metabolic syndrome (MetS)-related dysfunctions and neurodegenerative disorders, such as Alzheimer’s disease (AD). Nowadays, neuroimaging readouts can be used to diagnose AD, investigate MetS effects on brain functionality and anatomy, and assess the effects of dietary supplementations and nutritional patterns in relation to neurodegeneration and AD-related features. Here we review scientific literature describing the use of the most recent neuroimaging techniques to detect AD- and MetS-related brain features, and also to investigate associations between consolidated dietary patterns or nutritional interventions and AD, specifically focusing on observational and intervention studies in humans. date: 2015 date_type: published publication: Journal of Alzheimer's Disease volume: 48 number: 2 pagerange: 303-318 id_number: doi:10.3233/JAD-150301 refereed: TRUE issn: 13872877 official_url: http://doi.org/10.3233/JAD-150301 access: close language: en citation: Artículo Materias > Biomedicina Materias > Alimentación Universidad Europea del Atlántico > Investigación > Producción Científica Universidad Internacional Iberoamericana México > Investigación > Producción Científica Universidad Internacional Iberoamericana Puerto Rico > Investigación > Producción Científica Cerrado Inglés In the last decade, specific dietary patterns, mainly characterized by high consumption of vegetables and fruits, have been proven beneficial for the prevention of both metabolic syndrome (MetS)-related dysfunctions and neurodegenerative disorders, such as Alzheimer’s disease (AD). Nowadays, neuroimaging readouts can be used to diagnose AD, investigate MetS effects on brain functionality and anatomy, and assess the effects of dietary supplementations and nutritional patterns in relation to neurodegeneration and AD-related features. Here we review scientific literature describing the use of the most recent neuroimaging techniques to detect AD- and MetS-related brain features, and also to investigate associations between consolidated dietary patterns or nutritional interventions and AD, specifically focusing on observational and intervention studies in humans. metadata Pistollato, Francesca; Sumalla Cano, Sandra; Elío Pascual, Iñaki; Masías Vergara, Manuel; Giampieri, Francesca y Battino, Maurizio mail francesca.pistollato@uneatlantico.es, sandra.sumalla@uneatlantico.es, inaki.elio@uneatlantico.es, manuel.masias@uneatlantico.es, francesca.giampieri@uneatlantico.es, maurizio.battino@uneatlantico.es (2015) The Use of Neuroimaging to Assess Associations Among Diet, Nutrients, Metabolic Syndrome, and Alzheimer’s Disease. Journal of Alzheimer's Disease, 48 (2). pp. 303-318. ISSN 13872877