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Mediterranean diet, micronutrients and macronutrients, and MRI measures of cortical thickness
Open accessAbstract
INTRODUCTION: The Mediterranean diet (MeDi) is associated with reduced risk of cognitive impairment, but it is unclear whether it is associated with better brain imaging biomarkers. METHODS: Among 672 cognitively normal participants (mean age, 79.8 years, 52.5% men), we investigated associations of MeDi score and MeDi components with magnetic resonance imaging measures of cortical thickness for the four lobes separately and averaged (average lobar). RESULTS: Higher MeDi score was associated with larger frontal, parietal, occipital, and average lobar cortical thickness. Higher legume and fish intakes were associated with larger cortical thickness: legumes with larger superior parietal, inferior parietal, precuneus, parietal, occipital, lingual, and fish with larger precuneus, superior parietal, posterior cingulate, parietal, and inferior parietal. Higher carbohydrate and sugar intakes were associated with lower entorhinal cortical thickness. DISCUSSION: In this sample of elderly persons, higher adherence to MeDi was associated with larger cortical thickness. These cross-sectional findings require validation in prospective studies.
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“Also, cross-sectional studies have found positive associations between higher adherence to the MedDiet and larger brain volumes [96,97,98], cerebral connectivity [99], or fewer white matter lesions [100] at older ages, whereas hypercaloric diets, high in meat, carbohydrate and sugars intake and low in fish and vegetables contents, are associated with brain atrophy [94] and cortical thickness [101]”
From Mediterranean diet nutrients to turn the tide against insulin resistance and related diseases (2020) · cites this paper as [101]
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Cites
The Clinical Dementia Rating (CDR): Current version and scoring rules
Morris, J. C. (1993) · Neurology · doi:10.1212/wnl.43.11.2412-a · Cited by 9,882
Mild cognitive impairment as a diagnostic entity
Petersen, R. C. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01388.x · Cited by 7,864
Self-citationNo adjustments are needed for multiple comparisons.
Rothman, K. J. (1990) · Epidemiology · doi:10.1097/00001648-199001000-00010 · Cited by 5,965
Adherence to a Mediterranean diet and survival in a Greek population
Trichopoulou, A., Costacou, T., Bamia, C., & Trichopoulos, D. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa025039 · Cited by 4,397
Measurement of Functional Activities in Older Adults in the Community
PFEFFER, R. I., Kurosaki, T., Harrah, C. H., Chance, J. M., & Filos, S. (1982) · Journal of Gerontology · doi:10.1093/geronj/37.3.323 · Cited by 2,978
Total energy intake: implications for epidemiologic analyses.
WILLETT, W., & STAMPFER, M. J. (1986) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a114366 · Cited by 2,751
RE: “TOTAL ENERGY INTAKE: IMPLICATIONS FOR EPIDEMIOLOGIC ANALYSES”
Palmgren, J., & Kushi, L. H. (1991) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a115841 · Cited by 2,712
MIND diet associated with reduced incidence of Alzheimer's disease
Morris, M. C., Tangney, C. C., Wang, Y., Sacks, F. M., Bennett, D. A., & Aggarwal, N. T. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.11.009 · Cited by 1,162
Mediterranean diet and risk for Alzheimer's disease
Scarmeas, N., Stern, Y., Tang, M., Mayeux, R., & Luchsinger, J. A. (2006) · Annals of Neurology · doi:10.1002/ana.20854 · Cited by 1,103
Dietary Intake of Antioxidants and Risk of Alzheimer Disease
Engelhart, M. J. (2002) · JAMA · doi:10.1001/jama.287.24.3223 · Cited by 1,080
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Items 101–147 of 147
van Rooij, D., Schweren, L., Shi, H., Hartman, C. A., & Buitelaar, J. K. (2021) · Nutrients · doi:10.3390/nu13103542 · Cited by 5
Nutrition senolytics - illusion or reality for cognitive ageing?
Chen, X., Brodaty, H., & O’Leary, F. (2021) · Current Opinion in Clinical Nutrition & Metabolic Care · doi:10.1097/mco.0000000000000796 · Cited by 4
Contribution of Mediterranean Diet in the Prevention of Alzheimer’s Disease
Panza, F., Lozupone, M., Solfrizzi, V., Custodero, C., Valiani, V., D’Introno, A., Stella, E., Stallone, R., Piccininni, M., Bellomo, A., et al. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-811959-4.00009-2 · Cited by 4
Rauchmann, B., Gross, P., Ersoezlue, E., Wagner, M., Ballarini, T., Kurz, C., Tatò, M., Utecht, J., Papazov, B., Guersel, S., et al. (2023) · Nutrition and Healthy Aging · doi:10.3233/nha-220190 · Cited by 4
Begdache, L. (2018) · Anthropology and Ethnology Open Access Journal · doi:10.23880/aeoaj-16000105 · Cited by 2
Dietary patterns, Alzheimer's disease and cognitive decline: recent insights
Koch, M., & Jensen, M. K. (2017) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000376 · Cited by 3
Gaynor, A. M., Varangis, E. M. L., Song, S., Gazes, Y., Habeck, C. G., Stern, Y., & Gu, Y. (2023) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.1043423 · Cited by 2
Dairy products and brain structure in French older adults
Pellay, H., Thomas, A., Baillet, M., Helmer, C., Catheline, G., Marmonier, C., Samieri, C., & Féart, C. (2023) · British Journal Of Nutrition · doi:10.1017/s0007114523001551 · Cited by 2
Nutrition and neurodegenerative diseases: Alzheimer's disease and others
Bianchi, V. E. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-91747-6.00013-5 · Cited by 2
Nakaki, A., Gomez, Y., Darecka, K., Borràs, R., Vellvé, K., Paulés, C., Boutet, M. L., Basso, A., Casu, G., Traversi, P., et al. (2024) · Fetal Diagnosis and Therapy · doi:10.1159/000540580 · Cited by 2
Role of microbiota-gut-brain axis in Alzheimer's disease and possible interventions
Pujari, R., Sharma, S., & Bhatt, S. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-21680-0.00002-x · Cited by 2
Meulenberg, C. J. W. (2019) · Annales Kinesiologiae · doi:10.35469/ak.2019.175 · Cited by 3
Environmental enrichment in cognitive and brain aging
Smith, A. E., Bower, I. S., Fabiani, M., & Karayanidis, F. (2023) · Elsevier eBooks · doi:10.1016/b978-0-12-820480-1.00050-4 · Cited by 2
Christidi, F., Drouka, A., Brikou, D., Mamalaki, E., Ntanasi, E., Karavasilis, E., Velonakis, G., Angelopoulou, G., Tsapanou, A., Gu, Y., et al. (2024) · Nutrients · doi:10.3390/nu16162766 · Cited by 1
Mayer, C., Ebinghaus, M., Petersen, M., Nägele, F. L., Schell, M., Cheng, B., Jensen, M., Schumacher, N., Singh, S., Rosand, J. M., et al. (2025) · Clinical Nutrition · doi:10.1016/j.clnu.2025.07.005 · Cited by 1
Miller, V., Smith, E. E., Schulze, K. M., Desai, D., Ho, V., Dummer, T., Tardif, J., Lear, S. A., Poirier, P., Mir, H. R., et al. (2025) · EClinicalMedicine · doi:10.1016/j.eclinm.2025.103333 · Cited by 3
O’Connor, M. K., Szemko, J. N., McLaren, J. E., Moo, L. R., Metcalf, E. E., Nguyen, A. H., Kraft, M. L., Frank, B. E., Salat, D. H., Randolph, J. J., et al. (2025) · BMC Geriatrics · doi:10.1186/s12877-025-06207-x · Cited by 1
Lee, E. B., Hwang, J., Kim, D. W., Choi, B. Y., Bae, H., Won, S., Park, Y. H., & Kim, S. (2025) · BMC Neurology · doi:10.1186/s12883-025-04583-w · Cited by 6
Key, M. N., Zwilling, C. E., Talukdar, T., Vidoni, E. D., & Barbey, A. K. (2026) · Global Perspectives on Nutrition · doi:10.1093/gpnutr/woag003 · Cited by 1
Therapeutic advances in Alzheimer’s disease: Current strategies and future possibilities
Varinthra, P., Ibiayo, A. G., Liu, C., Pakaprot, N., Paromi, I. N., Do, T. T. N., Raza, M., & Liu, I. Y. (2026) · Tzu Chi Medical Journal · doi:10.4103/tcmj.tcmj-d-25-00175 · Cited by 1
Food for Memory: A Review of the Effects of Diet on Alzheimer's Disease Progression
Krishnan, A., & Katchur, N. J. (2021) · Journal of Student Research · doi:10.47611/jsrhs.v10i4.2320 · Cited by 1
Al‐Darsani, Z., Jacobs, D. R., Bryan, R. N., Launer, L. J., Steffen, L. M., Yaffe, K. S., Shikany, J. M., & Odegaard, A. (2023) · Nutrition and Healthy Aging · doi:10.3233/nha-220192 · Cited by 1
THE MEDITERRANEAN DIET IMPACT ON PREVENTION AND TREATMENT OF COGNITIVE DECLINE
Grosu, C., Oprescu, A. C., & Niță, O. (2017) · The Medical-Surgical Journal · Cited by 1
Mazza, M., Marano, G., Traversi, G., Mazza, S., & Janiri, L. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-815238-6.00018-3 · Cited by 1
Natural Foods for Suppressing Dementia
Devi, N. N., & Viswanathan, C. (2022) · Nutritional neurosciences · doi:10.1007/978-981-16-8158-5_11 · Cited by 1
Asociaciones entre dieta y función cognitiva en el Proyecto SUN
Muñoz, M. I. (2022) · Deposito Adademico Digital Universidad De Navarra (University of Navarra) · doi:10.15581/10171/63292 · Cited by 1
A role for nutrition in healthy brain aging
Zamroziewicz, M. K. (2017) · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)
Mediterranean Diet and Dementia
Canevelli, M., Bruno, G., Vanacore, N., & Cesari, M. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-811959-4.00007-9
Panickar, K. S., Tavener, S. K., & Jewell, D. E. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-811959-4.00003-1
Food for thought – the Mediterranean diet (MeDi) is good for your brain!
(2016) · BJPsych International · doi:10.1192/s205647400000146x
(2016) · PubMed Central
穆, 珍. (2022) · Advances in Clinical Medicine · doi:10.12677/acm.2022.12111509
Effect of Diet Patterns in the Prevention of Alzheimer’s Disease
Cosio, D. S., Rodriguez, S., Jayakumar, A. R., & Paidas, M. J. (2023) · Nutritional neurosciences · doi:10.1007/978-981-99-0677-2_13
Vasileiadou, A. C., Loukeri, A., & Driga, A. M. (2024) · World Journal of Biology Pharmacy and Health Sciences · doi:10.30574/wjbphs.2024.17.1.0529
Wall, J. T., Xie, H., & Wang, X. (2024) · Journal of Personalized Medicine · doi:10.3390/jpm14020127
Investigation and description of the New Brain and New Mind hypotheses
Klinedinst, B. S. (2021) · doi:10.31274/td-20240329-457
Nakamoto, M., Nishita, Y., Tange, C., Zhang, S., Shimokata, H., Sakai, T., & Otsuka, R. (2025) · European Journal of Nutrition · doi:10.1007/s00394-025-03664-3
Togni, F., Casotti, F., & Recupido, D. (2025) · Studies on adult learning and education/Studies on Adult Learning and Education · doi:10.36253/979-12-215-0744-7.53
Zhang, S., Sala, G., Nakamura, A., Kato, T., Furuya, K., Shimokata, H., Gao, X., Nishita, Y., & Otsuka, R. (2024) · Figshare · doi:10.6084/m9.figshare.26692069
McGrattan, A. M., McEvoy, C. T., Vijayakumar, A., Moore, S. E., Neville, C. E., McGuinness, B., McKinley, M. C., & Woodside, J. V. (2021) · Figshare · doi:10.6084/m9.figshare.13515598
Hetherington, M. M. (2025) · IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) · doi:10.1109/cyberscitech68397.2025.00125
Zhang, B., Hu, S., & Li, H. (2026) · Frontiers in Nutrition · doi:10.3389/fnut.2026.1796774
Falsitta, L. V., & Pikula, A. (2026) · American Journal of Lifestyle Medicine · doi:10.1177/15598276261434176
Fish consumption and brain structure: a comprehensive systematic review of observational studies
Godos, J., Caruso, G., Micek, A., Dolci, A., Ungvari, Z. I., Lehoczki, A., Brizuela, L. L., Frias-Toral, E., Mauro, A. D., Siervo, M., et al. (2026) · Aging Clinical and Experimental Research · doi:10.1007/s40520-026-03363-x
Nakaki, A., Gomez, Y., Marra, M. C., Youssef, L., Castro‐Barquero, S., Casas, R. M., Vieta, E., Estruch, R., Eixarch, E., Gratacós, E., et al. (2026) · Ultrasound in Obstetrics and Gynecology · doi:10.1002/uog.70214
Metadata
- Authors
- Staubo, S. C., Aakre, J. A., Vemuri, P., Syrjanen, J. A., Mielke, M. M., Geda, Y. E., Kremers, W. K., Machulda, M. M., Knopman, D. S., Petersen, R. C., Jack, C. R., & Roberts, R. O.
- Affiliations
- Mayo Clinic (US)
- Corresponding author
- Roberts, Rosebud O.
- ORCID
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2016-07-23
- Volume
- 13
- Issue
- 2
- Pages
- 168-177
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- PMC
- PMC5259552
- OpenAlex
- W2505127413
- Cited by
- 147
- References
- 49
- Citations by year
- 2026: 8 · 2025: 12 · 2024: 13 · 2023: 25 · 2022: 11 · 2021: 20 · 2020: 12 · 2019: 13 · 2018: 23 · 2017: 8 · 2016: 2
- FWCI
- 15.20
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Alzheimer s & Dementia (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (U01 AG006786, P50 AG016574, R01 AG011378, R01 AG041851)
- U.S. Department of Defense
- National Institute on Deafness and Other Communication Disorders
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Nursing › Nutrition and Dietetics › Fatty Acid Research and Health
- Keywords
- Mediterranean diet, cortical thickness
- MeSH terms
- Aged, Aged, 80 and over, Cerebral Cortex, Cross-Sectional Studies, Female, Humans, Magnetic Resonance Imaging, Male, Organ Size, Micronutrients, Diet, Mediterranean
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