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Im Y, Kang SH, Park G, Yoo H, Chun MY, Kim CH, Park CJ, Kim JP, Jang H, Kim HJ, Oh K, Koh SB, Lee JM, Na DL, Seo SW, Kim H. Ethnic differences in the effects of apolipoprotein E ɛ4 and vascular risk factors on accelerated brain aging. Brain Commun 2024; 6:fcae213. [PMID: 39007039 PMCID: PMC11242459 DOI: 10.1093/braincomms/fcae213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 04/30/2024] [Accepted: 07/09/2024] [Indexed: 07/16/2024] Open
Abstract
The frequency of the apolipoprotein E ɛ4 allele and vascular risk factors differs among ethnic groups. We aimed to assess the combined effects of apolipoprotein E ɛ4 and vascular risk factors on brain age in Korean and UK cognitively unimpaired populations. We also aimed to determine the differences in the combined effects between the two populations. We enrolled 2314 cognitively unimpaired individuals aged ≥45 years from Korea and 6942 cognitively unimpaired individuals from the UK, who were matched using propensity scores. Brain age was defined using the brain age index. The apolipoprotein E genotype (ɛ4 carriers, ɛ2 carriers and ɛ3/ɛ3 homozygotes) and vascular risk factors (age, hypertension and diabetes) were considered predictors. Apolipoprotein E ɛ4 carriers in the Korean (β = 0.511, P = 0.012) and UK (β = 0.302, P = 0.006) groups had higher brain age index values. The adverse effects of the apolipoprotein E genotype on brain age index values increased with age in the Korean group alone (ɛ2 carriers × age, β = 0.085, P = 0.009; ɛ4 carriers × age, β = 0.100, P < 0.001). The apolipoprotein E genotype, age and ethnicity showed a three-way interaction with the brain age index (ɛ2 carriers × age × ethnicity, β = 0.091, P = 0.022; ɛ4 carriers × age × ethnicity, β = 0.093, P = 0.003). The effects of apolipoprotein E on the brain age index values were more pronounced in individuals with hypertension in the Korean group alone (ɛ4 carriers × hypertension, β = 0.777, P = 0.038). The apolipoprotein E genotype, age and ethnicity showed a three-way interaction with the brain age index (ɛ4 carriers × hypertension × ethnicity, β=1.091, P = 0.014). We highlight the ethnic differences in the combined effects of the apolipoprotein E ɛ4 genotype and vascular risk factors on accelerated brain age. These findings emphasize the need for ethnicity-specific strategies to mitigate apolipoprotein E ɛ4-related brain aging in cognitively unimpaired individuals.
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Affiliation(s)
- Yanghee Im
- USC Steven Neuroimaging and Informatics Institute, Keck School of Medicine of University of Southern California, Los Angeles, CA 90033, USA
- Department of Biomedical Engineering, Hanyang University, Seoul 04763, Korea
| | - Sung Hoon Kang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul 08308, Korea
| | - Gilsoon Park
- USC Steven Neuroimaging and Informatics Institute, Keck School of Medicine of University of Southern California, Los Angeles, CA 90033, USA
| | - Heejin Yoo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea
| | - Min Young Chun
- Department of Neurology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin 16995, Korea
| | - Chi-Hun Kim
- Department of Neurology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang 14068, Korea
| | - Chae Jung Park
- Research Institute, National Cancer Center, Goyang 10408, Korea
| | - Jun Pyo Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea
| | - Hyemin Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea
| | - Hee Jin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea
| | - Kyungmi Oh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul 08308, Korea
| | - Seong-Beom Koh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul 08308, Korea
| | - Jong-Min Lee
- Department of Biomedical Engineering, Hanyang University, Seoul 04763, Korea
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea
- Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul 06355, Korea
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul 06355, Korea
- Alzheimer’s Disease Convergence Research Center, Samsung Medical Center, Seoul 06351, Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon 16419, Korea
| | - Hosung Kim
- USC Steven Neuroimaging and Informatics Institute, Keck School of Medicine of University of Southern California, Los Angeles, CA 90033, USA
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Petersen M, Hoffstaedter F, Nägele FL, Mayer C, Schell M, Rimmele DL, Zyriax BC, Zeller T, Kühn S, Gallinat J, Fiehler J, Twerenbold R, Omidvarnia A, Patil KR, Eickhoff SB, Thomalla G, Cheng B. A latent clinical-anatomical dimension relating metabolic syndrome to brain structure and cognition. eLife 2024; 12:RP93246. [PMID: 38512127 PMCID: PMC10957178 DOI: 10.7554/elife.93246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/22/2024] Open
Abstract
The link between metabolic syndrome (MetS) and neurodegenerative as well as cerebrovascular conditions holds substantial implications for brain health in at-risk populations. This study elucidates the complex relationship between MetS and brain health by conducting a comprehensive examination of cardiometabolic risk factors, brain morphology, and cognitive function in 40,087 individuals. Multivariate, data-driven statistics identified a latent dimension linking more severe MetS to widespread brain morphological abnormalities, accounting for up to 71% of shared variance in the data. This dimension was replicable across sub-samples. In a mediation analysis, we could demonstrate that MetS-related brain morphological abnormalities mediated the link between MetS severity and cognitive performance in multiple domains. Employing imaging transcriptomics and connectomics, our results also suggest that MetS-related morphological abnormalities are linked to the regional cellular composition and macroscopic brain network organization. By leveraging extensive, multi-domain data combined with a dimensional stratification approach, our analysis provides profound insights into the association of MetS and brain health. These findings can inform effective therapeutic and risk mitigation strategies aimed at maintaining brain integrity.
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Affiliation(s)
- Marvin Petersen
- Department of Neurology, University Medical Center Hamburg-EppendorfHamburgGermany
| | - Felix Hoffstaedter
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University DüsseldorfDüsseldorfGermany
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center JülichJülichGermany
| | - Felix L Nägele
- Department of Neurology, University Medical Center Hamburg-EppendorfHamburgGermany
| | - Carola Mayer
- Department of Neurology, University Medical Center Hamburg-EppendorfHamburgGermany
| | - Maximilian Schell
- Department of Neurology, University Medical Center Hamburg-EppendorfHamburgGermany
| | - D Leander Rimmele
- Department of Neurology, University Medical Center Hamburg-EppendorfHamburgGermany
| | - Birgit-Christiane Zyriax
- Midwifery Science-Health Services Research and Prevention, Institute for Health Services Research in Dermatology and Nursing (IVDP), University Medical Center Hamburg-EppendorfHamburgGermany
| | - Tanja Zeller
- Department of Cardiology, University Heart and Vascular CenterHamburgGermany
- German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/LuebeckHamburgGermany
- University Center of Cardiovascular Science, University Heart and Vascular CenterHamburgGermany
| | - Simone Kühn
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-EppendorfHamburgGermany
| | - Jürgen Gallinat
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-EppendorfHamburgGermany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-EppendorfHamburgGermany
| | - Raphael Twerenbold
- Department of Cardiology, University Heart and Vascular CenterHamburgGermany
- German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/LuebeckHamburgGermany
- University Center of Cardiovascular Science, University Heart and Vascular CenterHamburgGermany
- Epidemiological Study Center, University Medical Center Hamburg-EppendorfHamburgGermany
| | - Amir Omidvarnia
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University DüsseldorfDüsseldorfGermany
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center JülichJülichGermany
| | - Kaustubh R Patil
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University DüsseldorfDüsseldorfGermany
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center JülichJülichGermany
| | - Simon B Eickhoff
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University DüsseldorfDüsseldorfGermany
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center JülichJülichGermany
| | - Goetz Thomalla
- Department of Neurology, University Medical Center Hamburg-EppendorfHamburgGermany
| | - Bastian Cheng
- Department of Neurology, University Medical Center Hamburg-EppendorfHamburgGermany
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Chen X, Bao Y, Zhao J, Wang Z, Gao Q, Ma M, Xie Z, He M, Deng X, Ran J. Associations of Triglycerides and Atherogenic Index of Plasma with Brain Structure in the Middle-Aged and Elderly Adults. Nutrients 2024; 16:672. [PMID: 38474800 DOI: 10.3390/nu16050672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Revised: 02/22/2024] [Accepted: 02/26/2024] [Indexed: 03/14/2024] Open
Abstract
Triglyceride (TG) and atherogenic index of plasma (AIP) have been acknowledged to be risk factors for vascular insults, but their impacts on the brain system remain elusive. To fill in some gaps, we investigated associations of TG and AIP with brain structure, leveraging the UK Biobank database. TG and high-density lipoprotein cholesterol (HDL-C) were examined at baseline and AIP was calculated as log (TG/HDL-C). We build several linear regression models to estimate associations of TG and AIP with volumes of brain grey matter phenotypes. Significant inverse associations of TG and AIP with volumes of specific subcortical traits were observed, among which TG and AIP were most significantly associated with caudate nucleus (TG: β [95% confidence interval CI] = -0.036 [-0.051, -0.022], AIP: -0.038 [-0.053, -0.023]), thalamus (-0.029 [-0.042, -0.017], -0.032 [-0.045, -0.019]). Higher TG and AIP were also considerably related with reduced cortical structure volumes, where two most significant associations of TG and AIP were with insula (TG: -0.035 [-0.048, -0.022], AIP: -0.038 [-0.052, -0.025]), superior temporal gyrus (-0.030 [-0.043, -0.017], -0.033 [-0.047, -0.020]). Modification effects of sex and regular physical activity on the associations were discovered as well. Our findings show adverse associations of TG and AIP with grey matter volumes, which has essential public health implications for early prevention in neurodegenerative diseases.
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Affiliation(s)
- Xixi Chen
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Yujia Bao
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Jiahao Zhao
- Department of Foundational Mathematics, Xi'an Jiaotong-Liverpool University, Suzhou 215000, China
| | - Ziyue Wang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Qijing Gao
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Mingyang Ma
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Ziwen Xie
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Mu He
- Department of Foundational Mathematics, Xi'an Jiaotong-Liverpool University, Suzhou 215000, China
| | - Xiaobei Deng
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Jinjun Ran
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
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4
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Youn C, Caillaud ML, Li Y, Gallagher IA, Strasser B, Fuchs D, Tanaka H, Haley AP. Association between Large Neutral Amino Acids and Brain Integrity in Middle-Aged Adults at Metabolic Risk. RESEARCH SQUARE 2024:rs.3.rs-3951968. [PMID: 38410466 PMCID: PMC10896396 DOI: 10.21203/rs.3.rs-3951968/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/28/2024]
Abstract
This investigation delves into the interplay between large neutral amino acids (LNAA) and metabolic syndrome (MetS) in midlife adults, examining their collective influence on brain structure and cognitive function. While LNAA, such as tryptophan and phenylalanine, are known to bolster cognition in youth, our study hypothesizes a reversal of these benefits in older adults with MetS, potentially signaling premature cognitive aging. Eighty participants between 40-61 years underwent MetS component quantification, LNAA measurement via high-performance liquid chromatography, and brain imaging to evaluate white matter hyperintensity (WMH) volume and medial temporal lobe (MTL) cortical thickness. Our linear regression analysis, adjusting for sex, age, and education, revealed that phenylalanine levels moderated the relationship between MetS and WMH volume (F(6, 69) = 3.134, p < 0.05, R2 = 0.214), suggesting that MetS's cognitive impact may be partly due to phenylalanine catabolism byproducts. However, LNAA metabolites did not significantly modulate the MetS-MTL cortical thickness relationship. The findings suggest that LNAA metabolic dysregulation, marked by elevated levels in the presence of MetS, could correlate with brain structural compromises, particularly in the form of MTL cortical thinning and increased WMH load, detectable in midlife. This nuanced understanding of LNAA's role in cognitive health amid cardiovascular risk factors is pivotal, proposing a potential biomarker for early intervention. Further research is crucial to elucidate the longitudinal influence of LNAA and MetS on brain health, thereby informing strategies to mitigate cognitive decline.
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Affiliation(s)
- Cherry Youn
- Department of Psychology, The University of Texas at Austin, Austin, Texas, USA
| | - Marie L. Caillaud
- Department of Psychology, The University of Texas at Austin, Austin, Texas, USA
| | - Yanrong Li
- Department of Psychology, The University of Texas at Austin, Austin, Texas, USA
| | | | - Barbara Strasser
- Medical Faculty, Sigmund Freud Private University Vienna, Vienna, Austria
| | - Dietmar Fuchs
- Institute of Biological Chemistry, Biocentre, Medical University of Innsbruck, Innsbruck, Austria
| | - Hirofumi Tanaka
- Department of Kinesiology and Health Education, The University of Texas at Austin, Austin, Texas, USA
| | - Andreana P. Haley
- Department of Psychology, The University of Texas at Austin, Austin, Texas, USA
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5
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Petersen M, Hoffstaedter F, Nägele FL, Mayer C, Schell M, Rimmele DL, Zyriax BC, Zeller T, Kühn S, Gallinat J, Fiehler J, Twerenbold R, Omidvarnia A, Patil KR, Eickhoff SB, Thomalla G, Cheng B. A latent clinical-anatomical dimension relating metabolic syndrome to brain structure and cognition. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.22.529531. [PMID: 36865285 PMCID: PMC9980040 DOI: 10.1101/2023.02.22.529531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Abstract
The link between metabolic syndrome (MetS) and neurodegenerative as well cerebrovascular conditions holds substantial implications for brain health in at-risk populations. This study elucidates the complex relationship between MetS and brain health by conducting a comprehensive examination of cardiometabolic risk factors, cortical morphology, and cognitive function in 40,087 individuals. Multivariate, data-driven statistics identified a latent dimension linking more severe MetS to widespread brain morphological abnormalities, accounting for up to 71% of shared variance in the data. This dimension was replicable across sub-samples. In a mediation analysis we could demonstrate that MetS-related brain morphological abnormalities mediated the link between MetS severity and cognitive performance in multiple domains. Employing imaging transcriptomics and connectomics, our results also suggest that MetS-related morphological abnormalities are linked to the regional cellular composition and macroscopic brain network organization. By leveraging extensive, multi-domain data combined with a dimensional stratification approach, our analysis provides profound insights into the association of MetS and brain health. These findings can inform effective therapeutic and risk mitigation strategies aimed at maintaining brain integrity.
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Affiliation(s)
- Marvin Petersen
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - Felix Hoffstaedter
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Moorenstraße 5, 40225 Düsseldorf, Germany
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center Ju lich, Wilhelm-Johnen-Straße, 52425 Ju lich, Germany
| | - Felix L. Nägele
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - Carola Mayer
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - Maximilian Schell
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - D. Leander Rimmele
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - Birgit-Christiane Zyriax
- Midwifery Science-Health Services Research and Prevention, Institute for Health Services Research in Dermatology and Nursing (IVDP), University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - Tanja Zeller
- Department of Cardiology, University Heart and Vascular Center, Martinistraße 52, 20251 Hamburg, Germany
- German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Luebeck, Martinistraße 52, 20251 Hamburg, Germany
- University Center of Cardiovascular Science, University Heart and Vascular Center, Martinistraße 52, 20251 Hamburg, Germany
| | - Simone Kühn
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - Jürgen Gallinat
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - Raphael Twerenbold
- Department of Cardiology, University Heart and Vascular Center, Martinistraße 52, 20251 Hamburg, Germany
- German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Luebeck, Martinistraße 52, 20251 Hamburg, Germany
- University Center of Cardiovascular Science, University Heart and Vascular Center, Martinistraße 52, 20251 Hamburg, Germany
- Epidemiological Study Center, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - Amir Omidvarnia
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Moorenstraße 5, 40225 Düsseldorf, Germany
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center Ju lich, Wilhelm-Johnen-Straße, 52425 Ju lich, Germany
| | - Kaustubh R. Patil
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Moorenstraße 5, 40225 Düsseldorf, Germany
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center Ju lich, Wilhelm-Johnen-Straße, 52425 Ju lich, Germany
| | - Simon B. Eickhoff
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Moorenstraße 5, 40225 Düsseldorf, Germany
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center Ju lich, Wilhelm-Johnen-Straße, 52425 Ju lich, Germany
| | - Götz Thomalla
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - Bastian Cheng
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
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Luckhoff HK, du Plessis S, Leigh van den H, Emsley R, Seedat S. Independent effects of posttraumatic stress disorder diagnosis and metabolic syndrome status on prefrontal cortical thickness and subcortical gray matter volumes. DIALOGUES IN CLINICAL NEUROSCIENCE 2023; 25:64-74. [PMID: 37497602 PMCID: PMC10375918 DOI: 10.1080/19585969.2023.2237525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 06/05/2023] [Accepted: 07/11/2023] [Indexed: 07/28/2023]
Abstract
INTRODUCTION Posttraumatic stress disorder (PTSD) and metabolic syndrome (MetS) are associated with overlapping brain structural differences. These often involve brain structures involved in the regulation of appetite, food intake, satiety, and reward processing. We examined the individual and interactive effects of PTSD diagnosis and MetS on cortical thickness and subcortical gray matter volumes in patients with PTSD (n = 104) compared to trauma-exposed controls (n = 97). METHODS Multivariate models were constructed for FreeSurfer-generated prefrontal cortical thickness and subcortical gray matter regions-of-interest (ROIs) to explore the effects of PTSD diagnosis and MetS as predictors, adjusting for relevant socio-demographic and clinical covariates. Individual prefrontal cortical and subcortical limbic ROIs were also selected based on a priori evidence of their involvement in both PTSD and MetS. RESULTS The mean age of the sample (n = 201; 78% female) was 41.6 (SD, 13.1) years. PTSD and MetS status showed independent associations with prefrontal cortical thickness and subcortical gray matter volumes across multiple ROIs, adjusting for age, sex, scanner sequence, alcohol, and tobacco use. CONCLUSIONS PTSD and MetS are independently associated with brain structural differences, including thinner prefrontal cortical thickness and smaller subcortical gray matter volumes, across multiple ROIs implicated in the hedonic and homeostatic regulation of food intake.
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Affiliation(s)
- Hilmar Klaus Luckhoff
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Stefan du Plessis
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Heuvel Leigh van den
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- SAMRC Genomics and Brain Disorders Unit, Department of Psychiatry. Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Robin Emsley
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Soraya Seedat
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
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7
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Yetim E, Jacoby J, Damestani NL, Lovely AE, Salat DH, Juttukonda MR. Mean Arterial Pressure and Cerebral Hemodynamics Across The Lifespan: A Cross-Sectional Study From Human Connectome Project-Aging. J Magn Reson Imaging 2023; 58:1892-1900. [PMID: 37040498 PMCID: PMC10564963 DOI: 10.1002/jmri.28722] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 03/23/2023] [Accepted: 03/23/2023] [Indexed: 04/13/2023] Open
Abstract
BACKGROUND Cerebral perfusion is directly affected by systemic blood pressure, which has been shown to be negatively correlated with cerebral blood flow (CBF). The impact of aging on these effects is not fully understood. PURPOSE To determine whether the relationship between mean arterial pressure (MAP) and cerebral hemodynamics persists throughout the lifespan. STUDY TYPE Retrospective, cross-sectional study. POPULATION Six hundred and sixty-nine participants from the Human Connectome Project-Aging ranging between 36 and 100+ years and without a major neurological disorder. FIELD STRENGTH/SEQUENCE Imaging data was acquired at 3.0 Tesla using a 32-channel head coil. CBF and arterial transit time (ATT) were measured by multi-delay pseudo-continuous arterial spin labeling. ASSESSMENT The relationships between cerebral hemodynamic parameters and MAP were evaluated globally in gray and white matter and regionally using surface-based analysis in the whole group, separately within different age groups (young: <60 years; younger-old: 60-79 years; oldest-old: ≥80 years). STATISTICAL TESTS Chi-squared, Kruskal-Wallis, ANOVA, Spearman rank correlation and linear regression models. The general linear model setup in FreeSurfer was used for surface-based analyses. P < 0.05 was considered significant. RESULTS Globally, there was a significant negative correlation between MAP and CBF in both gray (ρ = -0.275) and white matter (ρ = -0.117). This association was most prominent in the younger-old [gray matter CBF (β = -0.271); white matter CBF (β = -0.241)]. In surface-based analyses, CBF exhibited a widespread significant negative association with MAP throughout the brain, whereas a limited number of regions showed significant prolongation in ATT with higher MAP. The associations between regional CBF and MAP in the younger-old showed a different topographic pattern in comparison to young subjects. DATA CONCLUSION These observations further emphasize the importance of cardiovascular health in mid-to-late adulthood for healthy brain aging. The differences in the topographic pattern with aging indicate a spatially heterogeneous relationship between high blood pressure and CBF. LEVEL OF EVIDENCE 3 TECHNICAL EFFICACY STAGE: 3.
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Affiliation(s)
- Ezgi Yetim
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown MA
| | - John Jacoby
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown MA
| | - Nikou L. Damestani
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown MA
- Department of Radiology, Harvard Medical School, Boston MA
| | - Allison E. Lovely
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown MA
| | - David H. Salat
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown MA
- Department of Radiology, Harvard Medical School, Boston MA
- Neuroimaging for Veterans Center, VA Boston Healthcare System, Boston MA
| | - Meher R. Juttukonda
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown MA
- Department of Radiology, Harvard Medical School, Boston MA
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8
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Rashid B, Glasser MF, Nichols T, Van Essen D, Juttukonda MR, Schwab NA, Greve DN, Yacoub E, Lovely A, Terpstra M, Harms MP, Bookheimer SY, Ances BM, Salat DH, Arnold SE. Cardiovascular and metabolic health is associated with functional brain connectivity in middle-aged and older adults: Results from the Human Connectome Project-Aging study. Neuroimage 2023; 276:120192. [PMID: 37247763 PMCID: PMC10330931 DOI: 10.1016/j.neuroimage.2023.120192] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 05/15/2023] [Accepted: 05/24/2023] [Indexed: 05/31/2023] Open
Abstract
Several cardiovascular and metabolic indicators, such as cholesterol and blood pressure have been associated with altered neural and cognitive health as well as increased risk of dementia and Alzheimer's disease in later life. In this cross-sectional study, we examined how an aggregate index of cardiovascular and metabolic risk factor measures was associated with correlation-based estimates of resting-state functional connectivity (FC) across a broad adult age-span (36-90+ years) from 930 volunteers in the Human Connectome Project Aging (HCP-A). Increased (i.e., worse) aggregate cardiometabolic scores were associated with reduced FC globally, with especially strong effects in insular, medial frontal, medial parietal, and superior temporal regions. Additionally, at the network-level, FC between core brain networks, such as default-mode and cingulo-opercular, as well as dorsal attention networks, showed strong effects of cardiometabolic risk. These findings highlight the lifespan impact of cardiovascular and metabolic health on whole-brain functional integrity and how these conditions may disrupt higher-order network integrity.
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Affiliation(s)
- Barnaly Rashid
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th St., Charlestown, MA 02129, United States; Harvard Medical School, Boston, MA, United States.
| | - Matthew F Glasser
- Washington University School of Medicine, St. Louis, MO, United States
| | | | - David Van Essen
- Washington University School of Medicine, St. Louis, MO, United States
| | - Meher R Juttukonda
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th St., Charlestown, MA 02129, United States; Harvard Medical School, Boston, MA, United States
| | - Nadine A Schwab
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th St., Charlestown, MA 02129, United States; Harvard Medical School, Boston, MA, United States
| | - Douglas N Greve
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th St., Charlestown, MA 02129, United States; Harvard Medical School, Boston, MA, United States
| | - Essa Yacoub
- Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States
| | - Allison Lovely
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th St., Charlestown, MA 02129, United States; Harvard Medical School, Boston, MA, United States
| | | | - Michael P Harms
- Washington University in St. Louis, St. Louis, MO, United States
| | | | - Beau M Ances
- Washington University School of Medicine, St. Louis, MO, United States; Washington University in St. Louis, St. Louis, MO, United States
| | - David H Salat
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th St., Charlestown, MA 02129, United States; Harvard Medical School, Boston, MA, United States.
| | - Steven E Arnold
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th St., Charlestown, MA 02129, United States; Harvard Medical School, Boston, MA, United States.
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9
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Kang SH, Liu M, Park G, Kim SY, Lee H, Matloff W, Zhao L, Yoo H, Kim JP, Jang H, Kim HJ, Jahanshad N, Oh K, Koh SB, Na DL, Gallacher J, Gottesman RF, Seo SW, Kim H. Different effects of cardiometabolic syndrome on brain age in relation to gender and ethnicity. Alzheimers Res Ther 2023; 15:68. [PMID: 36998058 PMCID: PMC10061789 DOI: 10.1186/s13195-023-01215-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Accepted: 03/20/2023] [Indexed: 04/01/2023]
Abstract
BACKGROUND A growing body of evidence shows differences in the prevalence of cardiometabolic syndrome (CMS) and dementia based on gender and ethnicity. However, there is a paucity of information about ethnic- and gender-specific CMS effects on brain age. We investigated the different effects of CMS on brain age by gender in Korean and British cognitively unimpaired (CU) populations. We also determined whether the gender-specific difference in the effects of CMS on brain age changes depending on ethnicity. METHODS These analyses used de-identified, cross-sectional data on CU populations from Korea and United Kingdom (UK) that underwent brain MRI. After propensity score matching to balance the age and gender between the Korean and UK populations, 5759 Korean individuals (3042 males and 2717 females) and 9903 individuals from the UK (4736 males and 5167 females) were included in this study. Brain age index (BAI), calculated by the difference between the predicted brain age by the algorithm and the chronological age, was considered as main outcome and presence of CMS, including type 2 diabetes mellitus (T2DM), hypertension, obesity, and underweight was considered as a predictor. Gender (males and females) and ethnicity (Korean and UK) were considered as effect modifiers. RESULTS The presence of T2DM and hypertension was associated with a higher BAI regardless of gender and ethnicity (p < 0.001), except for hypertension in Korean males (p = 0.309). Among Koreans, there were interaction effects of gender and the presence of T2DM (p for T2DM*gender = 0.035) and hypertension (p for hypertension*gender = 0.046) on BAI in Koreans, suggesting that T2DM and hypertension are each associated with a higher BAI in females than in males. In contrast, among individuals from the UK, there were no differences in the effects of T2DM (p for T2DM*gender = 0.098) and hypertension (p for hypertension*gender = 0.203) on BAI between males and females. CONCLUSIONS Our results highlight gender and ethnic differences as important factors in mediating the effects of CMS on brain age. Furthermore, these results suggest that ethnic- and gender-specific prevention strategies may be needed to protect against accelerated brain aging.
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Affiliation(s)
- Sung Hoon Kang
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea
| | - Mengting Liu
- School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen, China
- Keck School of Medicine of University of Southern California, USC Steven Neuroimaging and Informatics Institute, Los Angeles, CA, 90033, USA
| | - Gilsoon Park
- Keck School of Medicine of University of Southern California, USC Steven Neuroimaging and Informatics Institute, Los Angeles, CA, 90033, USA
| | - Sharon Y Kim
- Keck School of Medicine of University of Southern California, USC Steven Neuroimaging and Informatics Institute, Los Angeles, CA, 90033, USA
| | - Hyejoo Lee
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - William Matloff
- Keck School of Medicine of University of Southern California, USC Steven Neuroimaging and Informatics Institute, Los Angeles, CA, 90033, USA
| | - Lu Zhao
- Keck School of Medicine of University of Southern California, USC Steven Neuroimaging and Informatics Institute, Los Angeles, CA, 90033, USA
| | - Heejin Yoo
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Jun Pyo Kim
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Hyemin Jang
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Hee Jin Kim
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Neda Jahanshad
- Keck School of Medicine of University of Southern California, USC Steven Neuroimaging and Informatics Institute, Los Angeles, CA, 90033, USA
| | - Kyumgmi Oh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea
| | - Seong-Beom Koh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea
| | - Duk L Na
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - John Gallacher
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Rebecca F Gottesman
- National Institute of Neurological Disorders and Stroke Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Sang Won Seo
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
- Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, South Korea.
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, South Korea.
- Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, South Korea.
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, South Korea.
| | - Hosung Kim
- Keck School of Medicine of University of Southern California, USC Steven Neuroimaging and Informatics Institute, Los Angeles, CA, 90033, USA
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10
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Marshall RS, Liebeskind DS, III JH, Edwards LJ, Howard G, Meschia JF, Brott TG, Lal BK, Heck D, Lanzino G, Sangha N, Kashyap VS, Morales CD, Cotton-Samuel D, Rivera AM, Brickman AM, Lazar RM. Cortical Thinning in High-Grade Asymptomatic Carotid Stenosis. J Stroke 2023; 25:92-100. [PMID: 36592969 PMCID: PMC9911846 DOI: 10.5853/jos.2022.02285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 10/17/2022] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND AND PURPOSE High-grade carotid artery stenosis may alter hemodynamics in the ipsilateral hemisphere, but consequences of this effect are poorly understood. Cortical thinning is associated with cognitive impairment in dementia, head trauma, demyelination, and stroke. We hypothesized that hemodynamic impairment, as represented by a relative time-to-peak (TTP) delay on MRI in the hemisphere ipsilateral to the stenosis, would be associated with relative cortical thinning in that hemisphere. METHODS We used baseline MRI data from the NINDS-funded Carotid Revascularization and Medical Management for Asymptomatic Carotid Stenosis-Hemodynamics (CREST-H) study. Dynamic contrast susceptibility MR perfusion-weighted images were post-processed with quantitative perfusion maps using deconvolution of tissue and arterial signals. The protocol derived a hemispheric TTP delay, calculated by subtraction of voxel values in the hemisphere ipsilateral minus those contralateral to the stenosis. RESULTS Among 110 consecutive patients enrolled in CREST-H to date, 45 (41%) had TTP delay of at least 0.5 seconds and 9 (8.3%) subjects had TTP delay of at least 2.0 seconds, the maximum delay measured. For every 0.25-second increase in TTP delay above 0.5 seconds, there was a 0.006-mm (6 micron) increase in cortical thickness asymmetry. Across the range of hemodynamic impairment, TTP delay independently predicted relative cortical thinning on the side of stenosis, adjusting for age, sex, hypertension, hemisphere, smoking history, low-density lipoprotein cholesterol, and preexisting infarction (P=0.032). CONCLUSIONS Our findings suggest that hemodynamic impairment from high-grade asymptomatic carotid stenosis may structurally alter the cortex supplied by the stenotic carotid artery.
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Affiliation(s)
- Randolph S. Marshall
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA,Correspondence: Randolph S. Marshall Department of Neurology, Columbia University Irving Medical Center, 710 W 168th St, New York, NY 10032, USA Tel: +1-212-305-8389 Fax: +1-212-305-3741 E-mail:
| | - David S. Liebeskind
- Department of Neurology, University of California Los Angeles, Los Angeles, CA, USA
| | | | - Lloyd J. Edwards
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - George Howard
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | | | - Brajesh K. Lal
- Department of Surgery, University of Maryland, Baltimore, MD, USA
| | - Donald Heck
- Department of Radiology, Novant Health Clinical Research, Winston-Salem, NC, USA
| | - Giuseppe Lanzino
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA
| | - Navdeep Sangha
- Department of Neurology, Kaiser Permanente Los Angeles Medical Center, Los Angeles, CA, USA
| | - Vikram S. Kashyap
- Department of Surgery, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, OH, USA
| | - Clarissa D. Morales
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Dejania Cotton-Samuel
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Andres M. Rivera
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Adam M. Brickman
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Ronald M. Lazar
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA
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11
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Cui Y, Huang H, Gao J, Jiang T, Zhang C, Yu S. Mapping blood traits to structural organization of the brain in rhesus monkeys. Cereb Cortex 2022; 33:247-257. [PMID: 35253862 DOI: 10.1093/cercor/bhac065] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Revised: 01/29/2022] [Accepted: 01/31/2022] [Indexed: 01/17/2023] Open
Abstract
Hematological and biochemical blood traits have been linked to brain structural characteristics in humans. However, the relationship between these two domains has not been systematically explored in nonhuman primates, which are crucial animal models for understanding the mechanisms of brain function and developing therapeutics for various disorders. Here we investigated the associations between hematological/biochemical parameters and the brain's gray matter volume and white matter integrity derived from T1-weighted and diffusion magnetic resonance imaging in 36 healthy macaques. We found that intersubject variations in basophil count and hemoglobin levels correlated with gray matter volumes in the anterior cingulum, prefrontal cortex, and putamen. Through interactions between these key elements, the blood parameters' covariation network was linked with that of the brain structures, forming overarching networks connecting blood traits with structural brain features. These networks exhibited hierarchical small-world architecture, indicating highly effective interactions between their constituent elements. In addition, different subnetworks of the brain areas or fiber tracts tended to correlate with unique groups of blood indices, revealing previously unknown brain structural organization. These results provide a quantitative characterization of the interactions between blood parameters and brain structures in macaques and may increase the understanding of the body-brain relationship and the pathogenesis of relevant disorders.
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Affiliation(s)
- Yue Cui
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Haibin Huang
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jinquan Gao
- Model R&D Center, Life Biosciences Company Limited, Beijing 100176, China.,Technology Management Center, SAFE Pharmaceutical Technology Company Limited, Beijing 100176, China
| | - Tianzi Jiang
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China.,Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Chen Zhang
- Department of Neurobiology, School of Basic Medical Sciences, Beijing Key Laboratory of Neural Regeneration and Repair, Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Shan Yu
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
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12
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Tripathi S, Verghese J, Callisaya M, Mahoney JR, Srikanth V, Blumen HM. Brain patterns of pace - but not rhythm - are associated with vascular disease in older adults. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2022; 3:100154. [PMID: 36389342 PMCID: PMC9646823 DOI: 10.1016/j.cccb.2022.100154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 11/01/2022] [Accepted: 11/01/2022] [Indexed: 11/06/2022]
Abstract
Background Distinct domains of gait such as pace and rhythm are linked to an increased risk for cognitive decline, falls, and dementia in aging. The brain substrates supporting these domains and underlying diseases, however, remain relatively unknown. The current study aimed to identify patterns of gray matter volume (GMV) associated with pace and rhythm, and whether these patterns vary as a function of vascular and non-vascular comorbidities. Methods A cross-sectional sample of 297 older adults (M Age = 72.5 years ± 7.2 years, 43% women) without dementia was drawn from the Tasmanian Study of Cognition and Gait (TASCOG). Factor analyses were used to reduce eight quantitative gait variables into two domains. The "pace" domain was primarily composed of gait speed, stride length, and double support time. The "rhythm" domain was composed of swing time, stance time, and cadence. Multivariate covariance-based analyses adjusted for age, sex, education, total intracranial volume, and presence of mild cognitive impairment identified gray matter volume (GMV) patterns associated with pace and rhythm, as well as participant-specific expression (or factor) scores for each pattern. Results Pace was positively associated with GMV in the right superior temporal sulcus, bilateral supplementary motor areas (SMA), and bilateral cerebellar regions. Rhythm was positively associated with GMV in bilateral SMA, prefrontal, cingulate, and paracingulate cortices. The GMV pattern associated with pace was less expressed in participants with any vascular disease; this association was also found independently with hypertension, diabetes, and myocardial infarction. Conclusion Both pace and rhythm domains of gait were associated with the volume of brain structures that have been linked to controlled and automatic aspects of gait control, as well as with structures involved in multisensory integration. Only the brain structures associated with pace, however, were associated with vascular disease.
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Affiliation(s)
- Susmit Tripathi
- Department of Neurology, Weill Cornell Medicine, New York, NY 10065, USA
| | - Joe Verghese
- Department of Medicine, Albert Einstein College of Medicine, Bronx, NY 10461, USA,Department of Neurology, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Michele Callisaya
- Peninsula Clinical School, Central Clinical School, Monash University, Victoria, Australia,Menzies Institute for Medical Research, University of Tasmania, Tasmania, Australia
| | - Jeannette R. Mahoney
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Velandai Srikanth
- Peninsula Clinical School, Central Clinical School, Monash University, Victoria, Australia,Menzies Institute for Medical Research, University of Tasmania, Tasmania, Australia
| | - Helena M. Blumen
- Department of Medicine, Albert Einstein College of Medicine, Bronx, NY 10461, USA,Department of Neurology, Albert Einstein College of Medicine, Bronx, NY 10461, USA,Corresponding author at: Department of Medicine (Geriatrics), Department of Neurology (Cognitive & Motor Aging), Albert Einstein College of Medicine, 1225 Morris Park Avenue, Van Etten Building, Room 319 Bronx, NY 10461, USA.
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13
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Sakakura K, Sonoda M, Mitsuhashi T, Kuroda N, Firestone E, O'Hara N, Iwaki H, Lee MH, Jeong JW, Rothermel R, Luat AF, Asano E. Developmental organization of neural dynamics supporting auditory perception. Neuroimage 2022; 258:119342. [PMID: 35654375 PMCID: PMC9354710 DOI: 10.1016/j.neuroimage.2022.119342] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 05/09/2022] [Accepted: 05/29/2022] [Indexed: 11/28/2022] Open
Abstract
Purpose: A prominent view of language acquisition involves learning to ignore irrelevant auditory signals through functional reorganization, enabling more efficient processing of relevant information. Yet, few studies have characterized the neural spatiotemporal dynamics supporting rapid detection and subsequent disregard of irrelevant auditory information, in the developing brain. To address this unknown, the present study modeled the developmental acquisition of cost-efficient neural dynamics for auditory processing, using intracranial electrocorticographic responses measured in individuals receiving standard-of-care treatment for drug-resistant, focal epilepsy. We also provided evidence demonstrating the maturation of an anterior-to-posterior functional division within the superior-temporal gyrus (STG), which is known to exist in the adult STG. Methods: We studied 32 patients undergoing extraoperative electrocorticography (age range: eight months to 28 years) and analyzed 2,039 intracranial electrode sites outside the seizure onset zone, interictal spike-generating areas, and MRI lesions. Patients were given forward (normal) speech sounds, backward-played speech sounds, and signal-correlated noises during a task-free condition. We then quantified sound processing-related neural costs at given time windows using high-gamma amplitude at 70–110 Hz and animated the group-level high-gamma dynamics on a spatially normalized three-dimensional brain surface. Finally, we determined if age independently contributed to high-gamma dynamics across brain regions and time windows. Results: Group-level analysis of noise-related neural costs in the STG revealed developmental enhancement of early high-gamma augmentation and diminution of delayed augmentation. Analysis of speech-related high-gamma activity demonstrated an anterior-to-posterior functional parcellation in the STG. The left anterior STG showed sustained augmentation throughout stimulus presentation, whereas the left posterior STG showed transient augmentation after stimulus onset. We found a double dissociation between the locations and developmental changes in speech sound-related high-gamma dynamics. Early left anterior STG high-gamma augmentation (i.e., within 200 ms post-stimulus onset) showed developmental enhancement, whereas delayed left posterior STG high-gamma augmentation declined with development. Conclusions: Our observations support the model that, with age, the human STG refines neural dynamics to rapidly detect and subsequently disregard uninformative acoustic noises. Our study also supports the notion that the anterior-to-posterior functional division within the left STG is gradually strengthened for efficient speech sound perception after birth.
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Affiliation(s)
- Kazuki Sakakura
- Department of Pediatrics, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, Michigan, 48201, USA.; Department of Neurosurgery, University of Tsukuba, Tsukuba, 3058575, Japan
| | - Masaki Sonoda
- Department of Pediatrics, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, Michigan, 48201, USA.; Department of Neurosurgery, Yokohama City University, Yokohama, Kanagawa, 2360004, Japan
| | - Takumi Mitsuhashi
- Department of Pediatrics, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, Michigan, 48201, USA.; Department of Neurosurgery, Juntendo University, School of Medicine, Tokyo, 1138421, Japan
| | - Naoto Kuroda
- Department of Pediatrics, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, Michigan, 48201, USA.; Department of Epileptology, Tohoku University Graduate School of Medicine, Sendai, 9808575, Japan
| | - Ethan Firestone
- Department of Pediatrics, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, Michigan, 48201, USA.; Department of Physiology, Wayne State University, Detroit, MI 48201, USA
| | - Nolan O'Hara
- Translational Neuroscience Program, Wayne State University, Detroit, Michigan, 48201, USA
| | - Hirotaka Iwaki
- Department of Pediatrics, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, Michigan, 48201, USA.; Department of Epileptology, Tohoku University Graduate School of Medicine, Sendai, 9808575, Japan
| | - Min-Hee Lee
- Department of Pediatrics, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, Michigan, 48201, USA
| | - Jeong-Won Jeong
- Department of Pediatrics, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, Michigan, 48201, USA.; Department of Neurology, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, Michigan, 48201, USA.; Translational Neuroscience Program, Wayne State University, Detroit, Michigan, 48201, USA
| | - Robert Rothermel
- Department of Psychiatry, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, Michigan, 48201, USA
| | - Aimee F Luat
- Department of Pediatrics, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, Michigan, 48201, USA.; Department of Neurology, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, Michigan, 48201, USA.; Department of Pediatrics, Central Michigan University, Mt. Pleasant, MI 48858, USA
| | - Eishi Asano
- Department of Pediatrics, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, Michigan, 48201, USA.; Department of Neurology, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, Michigan, 48201, USA.; Translational Neuroscience Program, Wayne State University, Detroit, Michigan, 48201, USA..
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14
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Kennedy KG, Grigorian A, Mitchell RHB, McCrindle BW, MacIntosh BJ, Goldstein BI. Association of blood pressure with brain structure in youth with and without bipolar disorder. J Affect Disord 2022; 299:666-674. [PMID: 34920038 DOI: 10.1016/j.jad.2021.12.028] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 11/25/2021] [Accepted: 12/12/2021] [Indexed: 01/29/2023]
Abstract
BACKGROUND We previously found that blood pressure (BP) is elevated, and associated with poorer neurocognition, in youth with bipolar disorder (BD). While higher BP is associated with smaller brain structure in adults, studies have not examined this topic in BD or youth. METHODS Participants were 154 youth, ages 13-20 (n = 81 BD, n = 73 HC). Structural magnetic resonance imaging and diastolic (DBP), and systolic (SBP) pressure were obtained. Region of interest (ROI; anterior cingulate cortex [ACC], insular cortex, hippocampus) and vertex-wise analyses controlling for age, sex, body-mass-index, and intracranial volume investigated BP-neurostructural associations; a group-by-BP interaction was also assessed. RESULTS In ROI analyses, higher DBP in the overall sample was associated with smaller insular cortex area (β=-0.18 p = 0.007) and was associated with smaller ACC area to a significantly greater extent in HC vs. BD (β=-0.14 p = 0.015). In vertex-wise analyses, higher DBP and SBP were associated with smaller area and volume in the insular cortex, frontal, parietal, and temporal regions in the overall sample. Additionally, higher SBP was associated with greater thickness in temporal and parietal regions. Finally, higher SBP was associated with smaller area and volume in frontal, parietal, and temporal regions to a significantly greater extent in BD vs. HC. LIMITATIONS Cross-sectional design, single assessment of BP. CONCLUSION BP is associated with brain structure in youth, with variability related to structural phenotype (volume vs. thickness) and psychiatric diagnosis (BD vs. HC). Future studies evaluating temporality of these findings, and the association of BP changes on brain structure in youth, are warranted.
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Affiliation(s)
- Kody G Kennedy
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Rm 4326, 100 stokes street Way, Toronto, ON M6J 1H4, Canada; Department of Pharmacology, University of Toronto, Toronto, Canada
| | - Anahit Grigorian
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Rm 4326, 100 stokes street Way, Toronto, ON M6J 1H4, Canada
| | - Rachel H B Mitchell
- Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Brian W McCrindle
- Division of Pediatric Cardiology, Hospital for Sick Children, Toronto, ON, Canada; Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Bradley J MacIntosh
- Brain Sciences, Sunnybrook Health Sciences Centre, Toronto, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - Benjamin I Goldstein
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Rm 4326, 100 stokes street Way, Toronto, ON M6J 1H4, Canada; Department of Pharmacology, University of Toronto, Toronto, Canada.
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15
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Alomri RM, Kennedy GA, Wali S, Ahejaili F, Zelko M, Robinson SR. Association between cognitive dysfunction and nocturnal peaks of blood pressure estimated from pulse transit time in obstructive sleep apnoea. Sleep Med 2022; 90:185-191. [DOI: 10.1016/j.sleep.2022.01.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Revised: 11/18/2021] [Accepted: 01/05/2022] [Indexed: 11/27/2022]
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16
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Jensen DEA, Leoni V, Klein-Flügge MC, Ebmeier KP, Suri S. Associations of dietary markers with brain volume and connectivity: A systematic review of MRI studies. Ageing Res Rev 2021; 70:101360. [PMID: 33991658 DOI: 10.1016/j.arr.2021.101360] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Revised: 04/22/2021] [Accepted: 05/08/2021] [Indexed: 11/20/2022]
Abstract
The high prevalence of unhealthy dietary patterns and related brain disorders, such as dementia, emphasizes the importance of research that examines the effect of dietary factors on brain health. Identifying markers of brain health, such as volume and connectivity, that relate to diet is an important first step towards understanding the lifestyle determinants of healthy brain ageing. We conducted a systematic review of 52 studies (total n = 21,221 healthy participants aged 26-80 years, 55 % female) that assessed with a range of MRI measurements, which brain areas, connections, and cerebrovascular factors were associated with dietary markers. We report associations between regional brain measures and dietary health. Collectively, lower diet quality was related to reduced brain volume and connectivity, especially in white and grey matter of the frontal, temporal and parietal lobe, cingulate, entorhinal cortex and the hippocampus. Associations were also observed in connecting fibre pathways and in particular the default-mode, sensorimotor and attention networks. However, there were also some inconsistencies in research methods and findings. We recommend that future research use more comprehensive and consistent dietary measures, more representative samples, and examine the role of key subcortical regions previously highlighted in relevant animal work.
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Affiliation(s)
- Daria E A Jensen
- Department of Psychiatry, University of Oxford, OX3 7JX, UK; Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, University of Oxford, OX37JX, UK.
| | - Virginia Leoni
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Italy
| | - Miriam C Klein-Flügge
- Department of Experimental Psychology, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Tinsley building, OX1 3SR, UK
| | | | - Sana Suri
- Department of Psychiatry, University of Oxford, OX3 7JX, UK; Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, University of Oxford, OX37JX, UK
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17
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Kennedy KG, Islam AH, Grigorian A, Fiksenbaum L, Mitchell RHB, McCrindle BW, MacIntosh BJ, Goldstein BI. Elevated lipids are associated with reduced regional brain structure in youth with bipolar disorder. Acta Psychiatr Scand 2021; 143:513-525. [PMID: 33492669 DOI: 10.1111/acps.13278] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 01/14/2021] [Accepted: 01/17/2021] [Indexed: 01/12/2023]
Abstract
OBJECTIVE Abnormal blood lipid levels are common in bipolar disorder (BD) and correlate with mood symptoms and neurocognition. However, studies have not examined the lipid-brain structure association in BD or youth. METHODS This study examined low-density lipoprotein (LDL-C), high-density lipoprotein (HDL-C), triglycerides, and total cholesterol (TC) levels in relation to brain structure utilizing T1-weighted images, among participants ages 13-20 with BD (n = 55) and healthy controls (HC; n = 47). General linear models investigated group differences in the association of lipids with anterior cingulate cortex (ACC), hippocampus, and inferior parietal lobe structure, controlling for age, sex, body mass index, and intracranial volume. For significant associations, post hoc within-group analyses were undertaken. Exploratory vertex-wise analyses further investigated group differences in the lipid-brain structure association. RESULTS There were significant group differences in the association of LDL-C (β = -0.29 p = 0.001), and TC (β = -0.21 p = 0.016), with hippocampal volume, and triglycerides with ACC volume (β = -0.25 p = 0.01) and area (β = -0.26 p = 0.004). Elevated lipids were associated with smaller brain structure to a significantly greater extent in BD vs HC. Post hoc analyses revealed that elevated LDL-C (β = -0.27 p = 0.007) and reduced HDL-C (β = 0.24 p = 0.01) were associated with smaller hippocampal volume in the BD group. Exclusion of BD second-generation antipsychotic users did not alter these results. Vertex-wise analyses further showed that elevated lipids were associated with smaller brain structure to a significantly greater extent in BD vs HC, across the cortex. CONCLUSION Elevated lipids are associated with smaller brain structure in BD. Research evaluating lipid-brain structure associations prospectively and whether lipid optimization has salutary effects on brain structure is necessary.
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Affiliation(s)
- Kody G Kennedy
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Pharmacology, University of Toronto, Toronto, ON, Canada
| | - Alvi H Islam
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Anahit Grigorian
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Lisa Fiksenbaum
- Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Rachel H B Mitchell
- Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Brian W McCrindle
- Division of Pediatric Cardiology, Hospital for Sick Children, Toronto, ON, Canada.,Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Bradley J MacIntosh
- Brain Sciences, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Benjamin I Goldstein
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Pharmacology, University of Toronto, Toronto, ON, Canada
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18
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Cortical thinning is associated with brain pulsatility in older adults: An MRI and NIRS study. Neurobiol Aging 2021; 106:103-118. [PMID: 34274697 DOI: 10.1016/j.neurobiolaging.2021.05.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 03/29/2021] [Accepted: 05/03/2021] [Indexed: 11/21/2022]
Abstract
Aging is accompanied by global brain atrophy occurring unequally across the brain. Cortical thinning is seen with aging with a larger loss in the frontal and temporal subregions. We explored the link between regional cortical thickness and regional cerebral pulsatility. Sixty healthy individuals were divided into two age groups, young (aged 19-31) and older (aged 65-75) adults. Each participant underwent a near-infrared spectroscopy (NIRS) scan to index regional brain pulsatility from cerebral pulse-transit-time-to-the peak-of-the-pulse (PTTp), an anatomical magnetic resonance imaging (MRI) and a phase-contrast MRI (PC-MRI) scan to measure arterial and cerebrospinal fluid (CSF) pulsatility. In older adults, the greatest association between cerebral pulsatility and cortical thickness was found in superior and middle temporal and superior, middle and inferior frontal areas, which are the regions perfused first by the internal carotid arteries. This association dropped in the postcentral and superior parietal regions. These findings suggest higher brain pulsatility as a potential risk factor contributing to cortical thinning for some brain regions more than others.
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19
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Moazzami K, Power MC, Gottesman R, Mosley T, Lutsey PL, Jack CR, Hoogeveen RC, West N, Knopman DS, Alonso A. Association of mid-life serum lipid levels with late-life brain volumes: The atherosclerosis risk in communities neurocognitive study (ARICNCS). Neuroimage 2020; 223:117324. [PMID: 32882383 PMCID: PMC9006082 DOI: 10.1016/j.neuroimage.2020.117324] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 08/20/2020] [Accepted: 08/26/2020] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Limited information exists regarding the association between midlife lipid levels and late-life total and regional brain volumes. METHODS We studied 1872 participants in the longitudinal community-based Atherosclerosis Risk in Communities Neurocognitive Study. Serum lipid levels were measured in 1987-1989 (mean age, 53 ± 5 years). Participants underwent 3T brain MRI scans in 2011-2013. Brain volumes were measured using FreeSurfer image analysis software. Linear regression models were used to assess the associations between serum lipids and brain volumes modeled in standard deviation (SD) units, adjusting for potential confounders. RESULTS In adjusted analyses, one SD higher low-density lipoprotein cholesterol (LDL) levels were associated with larger total brain volumes (β 0.033, 95% CI 0.006-0.060) as well as larger volumes of the temporal (β 0.038, 95% CI 0.003-0.074) and parietal lobes (β 0.044, 95% CI 0.009-0.07) and Alzheimer disease-related region (β 0.048, 95% CI 0.048-0.085). Higher triglyceride levels were associated with smaller total brain volumes (β -0.033, 95% CI -0.060, -0.007). The associations between LDL levels and brain volumes were modified by age (P for interaction <0.001), with higher LDL levels associated with larger total and regional brain volumes only among adults >53 years at baseline, and were attenuated after application of weights to account for informative attrition, although associations with the parietal and Alzheimer's disease-related region remained significant. High-density lipoprotein cholesterol was not associated with brain volumes. CONCLUSION Higher LDL levels in late midlife were associated with larger brain volumes later in life, while higher triglyceride levels were associated with smaller brain volumes. These associations were driven by adults >53 years at baseline.
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Affiliation(s)
- Kasra Moazzami
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States; Emory Clinical Cardiovascular Research Institute, Department of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, GA, United States.
| | - Melinda C Power
- Department of Epidemiology, George Washington University Milken Institute School of Public Health, Washington, DC, United States
| | - Rebecca Gottesman
- Department of Neurology, Johns Hopkins University, Baltimore, MD, United States
| | - Thomas Mosley
- Department of Neurology, University of Mississippi Medical Center, Jackson, MS, United States
| | - Pamela L Lutsey
- Division of Epidemiology & Community Health, University of Minnesota, Minneapolis, MN, United States
| | - Clifford R Jack
- Department of Radiology, Mayo Clinic, Rochester, MN, United States
| | - Ron C Hoogeveen
- Department of Medicine, Baylor College of Medicine, Houston, TX, United States
| | - Nancy West
- Department of Preventive Medicine, University of Mississippi Medical Center, Jackson, United States
| | - David S Knopman
- Department of Neurology, Mayo Clinic, Rochester, MN, United States
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States
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20
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Common Brain Structural Alterations Associated with Cardiovascular Disease Risk Factors and Alzheimer's Dementia: Future Directions and Implications. Neuropsychol Rev 2020; 30:546-557. [PMID: 33011894 DOI: 10.1007/s11065-020-09460-6] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Accepted: 09/24/2020] [Indexed: 01/18/2023]
Abstract
Recent reports suggest declines in the age-specific risk of Alzheimer's dementia in higher income Western countries. At the same time, investigators believe that worldwide trends of increasing mid-life modifiable risk factors [e.g., cardiovascular disease (CVD) risk factors] coupled with the growth of the world's oldest age groups may nonetheless lead to an increase in Alzheimer's dementia. Thus, understanding the overlap in neuroanatomical profiles associated with CVD risk factors and AD may offer more relevant targets for investigating ways to reduce the growing dementia epidemic than current targets specific to isolated AD-related neuropathology. We hypothesized that a core group of common brain structural alterations exist between CVD risk factors and Alzheimer's dementia. Two co-authors conducted independent literature reviews in PubMed using search terms for CVD risk factor burden (separate searches for 'cardiovascular disease risk factors', 'hypertension', and 'Type 2 diabetes') and 'aging' or 'Alzheimer's dementia' with either 'grey matter volumes' or 'white matter'. Of studies that reported regionally localized results, we found support for our hypothesis, determining 23 regions commonly associated with both CVD risk factors and Alzheimer's dementia. Within this context, we outline future directions for research as well as larger cerebrovascular implications for these commonalities. Overall, this review supports previous as well as more recent calls for the consideration that both vascular and neurodegenerative factors contribute to the pathogenesis of dementia.
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21
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Von Schulze AT, Deng F, Morris JK, Geiger PC. Heat therapy: possible benefits for cognitive function and the aging brain. J Appl Physiol (1985) 2020; 129:1468-1476. [PMID: 32969779 DOI: 10.1152/japplphysiol.00168.2020] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Alzheimer's disease (AD) is the most common neurodegenerative disease, yet there are no disease-modifying treatments available and there is no cure. It is becoming apparent that metabolic and vascular conditions such as type 2 diabetes (T2D) and hypertension promote the development and accumulation of Alzheimer's disease-related dementia pathologies. To this end, aerobic exercise, which is a common lifestyle intervention for both metabolic disease and hypertension, is shown to improve brain health during both healthy aging and dementia. However, noncompliance or other barriers to exercise response are common in exercise treatment paradigms. In addition, reduced intracellular proteostasis and mitochondrial function could contribute to the etiology of AD. Specifically, compromised chaperone systems [i.e., heat shock protein (HSP) systems] can contribute to protein aggregates (i.e., β-amyloid plaques and neurofibrillary tangles) and reduced mitochondrial quality control (i.e., mitophagy). Therefore, novel therapies that target whole body metabolism, the vasculature, and chaperone systems (like HSPs) are needed to effectively treat AD. This review focuses on the role of heat therapy in the treatment and prevention of AD. Heat therapy has been independently shown to reduce whole body insulin resistance, improve vascular function, activate interorgan cross talk via endocytic vesicles, and activate HSPs to improve mitochondrial function and proteostasis in a variety of tissues. Thus, heat therapy could offer immense clinical benefit to patients suffering from AD. Importantly, future studies in patients are needed to determine the safety and efficacy of heat therapy in preventing AD.
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Affiliation(s)
- Alex T Von Schulze
- Department of Molecular and Integrative Physiology, The University of Kansas Medical Center, Kansas City, Kansas
| | - Fengyan Deng
- Department of Molecular and Integrative Physiology, The University of Kansas Medical Center, Kansas City, Kansas
| | - Jill K Morris
- Department of Neurology, The University of Kansas Medical Center, Kansas City, Kansas
| | - Paige C Geiger
- Department of Molecular and Integrative Physiology, The University of Kansas Medical Center, Kansas City, Kansas
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22
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Elliott ML. MRI-based biomarkers of accelerated aging and dementia risk in midlife: how close are we? Ageing Res Rev 2020; 61:101075. [PMID: 32325150 DOI: 10.1016/j.arr.2020.101075] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Revised: 03/10/2020] [Accepted: 04/15/2020] [Indexed: 01/18/2023]
Abstract
The global population is aging, leading to an increasing burden of age-related neurodegenerative disease. Efforts to intervene against age-related dementias in older adults have generally proven ineffective. These failures suggest that a lifetime of brain aging may be difficult to reverse once widespread deterioration has occurred. To test interventions in younger populations, biomarkers of brain aging are needed that index subtle signs of accelerated brain deterioration that are part of the putative pathway to dementia. Here I review potential MRI-based biomarkers that could connect midlife brain aging to later life dementia. I survey the literature with three questions in mind, 1) Does the biomarker index age-related changes across the lifespan? 2) Does the biomarker index cognitive ability and cognitive decline? 3) Is the biomarker sensitive to known risk factors for dementia? I find that while there is preliminary support for some midlife MRI-based biomarkers for accelerated aging, the longitudinal research that would best answer these questions is still in its infancy and needs to be further developed. I conclude with suggestions for future research.
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Affiliation(s)
- Maxwell L Elliott
- Department of Psychology and Neuroscience, Duke University, 2020 West Main Street, Suite 030, Durham, NC, 27701, USA.
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23
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Cardiometabolic determinants of early and advanced brain alterations: Insights from conventional and novel MRI techniques. Neurosci Biobehav Rev 2020; 115:308-320. [DOI: 10.1016/j.neubiorev.2020.04.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Revised: 02/21/2020] [Accepted: 04/02/2020] [Indexed: 12/11/2022]
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24
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Keage HAD, Feuerriegel D, Greaves D, Tregoweth E, Coussens S, Smith AE. Increasing Objective Cardiometabolic Burden Associated With Attenuations in the P3b Event-Related Potential Component in Older Adults. Front Neurol 2020; 11:643. [PMID: 32903798 PMCID: PMC7438865 DOI: 10.3389/fneur.2020.00643] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2019] [Accepted: 05/29/2020] [Indexed: 11/13/2022] Open
Abstract
Cardiometabolic diseases and risk factors increase the risk of late-life cognitive impairment and dementia and have also been associated with detrimental gray and white matter changes. However, the functional brain changes associated with cardiometabolic health in late-life are unclear. We sought to characterize these functional changes by recording event-related potentials (ERPs) during an n-back working memory task (0, 1, and 2 back) in 85 adults (60% female) between 50 and 80 years of age. Due to a stratified recruitment approach, participants varied widely in relation to cognitive function and cardiometabolic health. Standard and objective cut-offs for high blood glucose, waist to hip ratio (i.e., obesity), high blood cholesterol, and hypertension were employed to generate a summative score for cardiometabolic burden (none, one, or two or more above cut-off). Mixed effects modeling (covarying for age and gender) revealed no statistically significant associations between cardiometabolic burden and visual P1 and N1 component amplitudes. There was a significant effect for the P3b component: as cardiometabolic burden increased, P3b amplitude decreased. We show that cardiometabolic factors related to the development of cognitive impairment and dementia in late-life associate with brain activity, as recorded via ERPs. Findings have relevance for the monitoring of lifestyle interventions (typically targeting cardiometabolic factors) in aging, as ERPs may provide a more sensitive measure of change than cognitive performance. Further, our results raise questions related to the findings of a broad range of ERP studies where the groups compared may differ in their cardiometabolic health status (not only in psychological symptomatology).
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Affiliation(s)
- Hannah A. D. Keage
- Cognitive Ageing and Impairment Neurosciences Laboratory, Justice and Society, University of South Australia, Adelaide, SA, Australia
| | - Daniel Feuerriegel
- Melbourne School of Psychological Sciences, University of Melbourne, Parkville, VIC, Australia
| | - Danielle Greaves
- Cognitive Ageing and Impairment Neurosciences Laboratory, Justice and Society, University of South Australia, Adelaide, SA, Australia
| | - Emma Tregoweth
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, SA, Australia
| | - Scott Coussens
- Cognitive Ageing and Impairment Neurosciences Laboratory, Justice and Society, University of South Australia, Adelaide, SA, Australia
| | - Ashleigh E. Smith
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, SA, Australia
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25
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Cortical atrophy mediates the accumulating effects of vascular risk factors on cognitive decline in the Alzheimer's disease spectrum. Aging (Albany NY) 2020; 12:15058-15076. [PMID: 32726298 PMCID: PMC7425455 DOI: 10.18632/aging.103573] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Accepted: 06/13/2020] [Indexed: 12/17/2022]
Abstract
There are increasing concerns regarding the association of vascular risk factors (VRFs) and cognitive decline in the Alzheimer's disease (AD) spectrum. Currently, we investigated whether the accumulating effects of VRFs influenced gray matter volumes and subsequently led to cognitive decline in the AD spectrum. Mediation analysis was used to explore the association among VRFs, cortical atrophy, and cognition in the AD spectrum. 123 AD spectrum were recruited and VRF scores were constructed. Multivariate linear regression analysis revealed that higher VRF scores were correlated with lower Mini-Mental State Examination scores and higher Alzheimer's Disease Assessment Scale-Cognitive Subscale scores, indicating higher VRF scores lead to severer cognitive decline in the AD spectrum. In addition, subjects with higher VRF scores suffered severe cortical atrophy, especially in medial prefrontal cortex and medial temporal lobe. More importantly, common circuits of VRFs- and cognitive decline associated with gray matter atrophy were identified. Further, using mediation analysis, we demonstrated that cortical atrophy regions significantly mediated the relationship between VRF scores and cognitive decline in the AD spectrum. These findings highlight the importance of accumulating risk in the vascular contribution to AD spectrum, and targeting VRFs may provide new strategies for the therapeutic and prevention of AD.
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26
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Yang FN, Stanford M, Jiang X. Low Cholesterol Level Linked to Reduced Semantic Fluency Performance and Reduced Gray Matter Volume in the Medial Temporal Lobe. Front Aging Neurosci 2020; 12:57. [PMID: 32300296 PMCID: PMC7142997 DOI: 10.3389/fnagi.2020.00057] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Accepted: 02/19/2020] [Indexed: 11/29/2022] Open
Abstract
Hyperlipidemia has been proposed as a risk factor of dementia and cognitive decline. However, the findings of the relationship between cholesterol level and cognitive/brain function have been inconsistent. Here, using a well-controlled sample from the Parkinson's Progression Markers Initiative (PPMI), we investigated the probable non-linear relationship between plasma total cholesterol (TC) level, gray matter volume (GMv), and cognitive performance in 117 non-demented subjects (mean age, 61.5 ± 8.9 years), including 67 Parkinson's disease (PD) patients and 50 demographically matched controls. A quadratic relationship between semantic fluency (SF) performance and TC levels was identified. Within the subjects with a desirable TC level (TC < 200 mg/dl), low TC (lTC) levels were associated with reduced SF performance, as well as reduced GMv in three medial temporal regions [including bilateral anterior hippocampus (HIP)]. In contrast, no significant relationship between TC and cognition performance/GMv was found in individuals with a high cholesterol level (i.e., TC ≥ 200 mg/dl). Further region of interest (ROI)-based analysis showed that individuals with TC levels ranging from 100 to 160 mg/dl had the lowest GMv in the medial temporal regions. These findings suggest that low-normal TC level may be associated with reduced cognitive function and brain atrophy in regions implicated in neurodegenerative diseases, adding to a growing body of literature supporting a probable non-linear relationship between cholesterol level and brain health. However, this finding needs to be verified with other large public cohort data that do not include PD patients.
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Affiliation(s)
- Fan Nils Yang
- Department of Neuroscience, Georgetown University Medical Center, Washington, DC, United States
| | - Macdonell Stanford
- Department of Neuroscience, Georgetown University Medical Center, Washington, DC, United States
- School of Medicine, Georgetown University Medical Center, Washington, DC, United States
| | - Xiong Jiang
- Department of Neuroscience, Georgetown University Medical Center, Washington, DC, United States
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27
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Salminen LE, Wilcox RR, Zhu AH, Riedel BC, Ching CRK, Rashid F, Thomopoulos SI, Saremi A, Harrison MB, Ragothaman A, Knight V, Boyle CP, Medland SE, Thompson PM, Jahanshad N. Altered Cortical Brain Structure and Increased Risk for Disease Seen Decades After Perinatal Exposure to Maternal Smoking: A Study of 9000 Adults in the UK Biobank. Cereb Cortex 2019; 29:5217-5233. [PMID: 31271414 PMCID: PMC6918926 DOI: 10.1093/cercor/bhz060] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2018] [Revised: 02/20/2019] [Accepted: 02/28/2019] [Indexed: 01/08/2023] Open
Abstract
Secondhand smoke exposure is a major public health risk that is especially harmful to the developing brain, but it is unclear if early exposure affects brain structure during middle age and older adulthood. Here we analyzed brain MRI data from the UK Biobank in a population-based sample of individuals (ages 44-80) who were exposed (n = 2510) or unexposed (n = 6079) to smoking around birth. We used robust statistical models, including quantile regressions, to test the effect of perinatal smoke exposure (PSE) on cortical surface area (SA), thickness, and subcortical volumes. We hypothesized that PSE would be associated with cortical disruption in primary sensory areas compared to unexposed (PSE-) adults. After adjusting for multiple comparisons, SA was significantly lower in the pericalcarine (PCAL), inferior parietal (IPL), and regions of the temporal and frontal cortex of PSE+ adults; these abnormalities were associated with increased risk for several diseases, including circulatory and endocrine conditions. Sensitivity analyses conducted in a hold-out group of healthy participants (exposed, n = 109, unexposed, n = 315) replicated the effect of PSE on SA in the PCAL and IPL. Collectively our results show a negative, long term effect of PSE on sensory cortices that may increase risk for disease later in life.
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Affiliation(s)
- Lauren E Salminen
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA USA
| | - Rand R Wilcox
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Alyssa H Zhu
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA USA
| | - Brandalyn C Riedel
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA USA
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Christopher R K Ching
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA USA
| | - Faisal Rashid
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA USA
| | - Sophia I Thomopoulos
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA USA
| | - Arvin Saremi
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA USA
| | - Marc B Harrison
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA USA
| | - Anjanibhargavi Ragothaman
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA USA
| | - Victoria Knight
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA USA
| | - Christina P Boyle
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA USA
| | - Sarah E Medland
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Paul M Thompson
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA USA
| | - Neda Jahanshad
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA USA
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28
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Shi L, Cheng Y, Xu Y, Shen Z, Lu Y, Zhou C, Jiang L, Zhang Y, Zhu F, Xu X. Effects of hypertension on cerebral cortical thickness alterations in patients with type 2 diabetes. Diabetes Res Clin Pract 2019; 157:107872. [PMID: 31593745 DOI: 10.1016/j.diabres.2019.107872] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Revised: 08/31/2019] [Accepted: 09/30/2019] [Indexed: 01/09/2023]
Abstract
AIMS Although hypertension (HTN) is the high comorbidity of Type 2 diabetes mellitus (T2DM) and known to be a vascular risk factor for brain damage, the effects of HTN on brain function in T2DM patients are not well understood. Present study was performed to investigate whether HTN might accelerate the Cerebral cortical thickness (CT) alterations in patients with T2DM. METHODS We enrolled 35 participants with only T2DM, 25 T2DM patients with HTN (HT2DM) and 28 healthy controls (HCs). The cognitive function was assessed and brain image data was collected then the CT was calculated for each participant. Partial correlations between the CT of each brain region and standard laboratory testing data and neuropsychological scale scores were also analyzed. Multivariable regression analysis was performed to evaluated the vascular risk factors and brain regions with different CT in HT2DM patients. RESULTS Cognitive impairment is associated with thinning of the cerebral cortical thickness reduction in T2DM patients. CT thinning in the left inferior parietal lobe, left posterior cingulate and right precuneus were observed in HT2DM group relative to only T2DM group. Furthermore, the CT decreasing in the right precuneus was negatively correlated with duration of HTN. CONCLUSION The current study revealed that coexistent HTN may accelerate the CT reduction in T2DM patients.
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Affiliation(s)
- Li Shi
- Department of Endocrinology, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Yuqi Cheng
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Yushan Xu
- Department of Endocrinology, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Zonglin Shen
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Yi Lu
- Department of MRI, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Cong Zhou
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Linling Jiang
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Yan Zhang
- Department of Endocrinology, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Fangyu Zhu
- Department of MRI, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Xiufeng Xu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
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Nyberg CK, Fjell AM, Walhovd KB. Level of body fat relates to memory decline and interacts with age in its association with hippocampal and subcortical atrophy. Neurobiol Aging 2019; 91:112-124. [PMID: 32224068 DOI: 10.1016/j.neurobiolaging.2019.10.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Revised: 09/28/2019] [Accepted: 10/08/2019] [Indexed: 12/28/2022]
Abstract
Higher levels of body fat have shown adverse effects on multiple aspects of health, including cognitive and neuroanatomical changes. We tested the relationships of body fat levels and cholesterol to longitudinal age trajectories of subcortical gray matter volume (SCV), hippocampal volume (HCV), and episodic memory. Body fat was indexed by a concerted factor of BMI, visceral adipose tissue, percentage body fat, and total fat mass and was included in the analyses as a cross-sectional measure. We hypothesized that higher level of body fat would be related to steeper age trajectories of SCV, HCV, and memory. The sample consisted of 581 participants (20-83 years) with 942 magnetic resonance imaging and 945 memory examinations. Using generalized additive mixed models, a negative effect of body fat was found on SCV, HCV, and memory. Age and body fat interacted in their association with brain volume change. The results suggest that among cognitively healthy adults, there is a negative effect of higher body fat on SCV, HCV, and memory decline, an effect that increased with age for the neuroanatomical volumes.
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Affiliation(s)
- Claudia Kim Nyberg
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway; Research Department, Sunnaas Rehabilitation Hospital, Nesoddtangen, Norway.
| | - Anders M Fjell
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway; Department of radiology and nuclear medicine, Oslo University Hospital, Oslo, Norway
| | - Kristine B Walhovd
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway; Department of radiology and nuclear medicine, Oslo University Hospital, Oslo, Norway
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Kim SE, Lee JS, Woo S, Kim S, Kim HJ, Park S, Lee BI, Park J, Kim Y, Jang H, Kim SJ, Cho SH, Lee B, Lockhart SN, Na DL, Seo SW. Sex-specific relationship of cardiometabolic syndrome with lower cortical thickness. Neurology 2019; 93:e1045-e1057. [PMID: 31444241 DOI: 10.1212/wnl.0000000000008084] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Accepted: 04/10/2019] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To investigate whether cardiometabolic factors were associated with age-related differences in cortical thickness in relation to sex. METHODS In this cross-sectional study, we enrolled 1,322 cognitively normal elderly (≥65 years old) individuals (774 [58.5%] men, 548 [41.5%] women). We measured cortical thickness using a surface-based analysis. We analyzed the associations of cardiometabolic risk factors with cortical thickness using multivariate linear regression models after adjusting for possible confounders and interactions with age. RESULT Among women, hypertension (β = -1.119 to -0.024, p < 0.05) and diabetes mellitus (β = -0.920, p = 0.03) were independently associated with lower mean cortical thickness. In addition, there was an interaction effect between obesity (body mass index [BMI] ≥27.5 kg/m2) and age on cortical thickness in women (β = -0.324 to -0.010, p < 0.05), suggesting that age-related differences in cortical thickness were more prominent in obese women compared to women with normal weight. Moreover, low education level (<6 years) was correlated with lower mean cortical thickness (β = -0.053 to -0.046, p < 0.05). Conversely, among men, only being underweight (BMI ≤18.5 kg/m2, β = -2.656 to -0.073, p < 0.05) was associated with lower cortical thickness. CONCLUSIONS Our findings suggest that cortical thickness is more vulnerable to cardiometabolic risk factors in women than in men. Therefore, sex-specific prevention strategies may be needed to protect against accelerated brain aging.
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Affiliation(s)
- Si Eun Kim
- From the Departments of Neurology (S.E.K., H.J.K., S.P., H.J., S.J.K., S.H.C., D.L.N., S.W.S.), Clinical Research Design and Evaluation (S.W.S.), and Health Sciences and Technology (D.L.N.), SAIHST, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul; Department of Neurology (S.E.K., B.I.L., J.P.), Inje University College of Medicine, Haeundae Paik Hospital, Busan; Department of Neurology (J.S.L.), Kyung Hee University Hospital; Statistics and Data Center (S.W., S.K.), Center for Clinical Epidemiology (S.W.S.), and Samsung Alzheimer Research Center, Neuroscience Center (H.J.K., S.P., H.J., D.L.N., S.W.S.), Samsung Medical Center, Seoul; Department of Neurology (Y.K.), Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital; Department of Neurology (S.H.C.), Chonnam National University Hospital, Gwangju; Department of Neurology (B.L.), Yuseong Geriatric Rehabilitation Hospital, Pohang, Korea; and Department of Internal Medicine (S.N.L.), Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Jin San Lee
- From the Departments of Neurology (S.E.K., H.J.K., S.P., H.J., S.J.K., S.H.C., D.L.N., S.W.S.), Clinical Research Design and Evaluation (S.W.S.), and Health Sciences and Technology (D.L.N.), SAIHST, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul; Department of Neurology (S.E.K., B.I.L., J.P.), Inje University College of Medicine, Haeundae Paik Hospital, Busan; Department of Neurology (J.S.L.), Kyung Hee University Hospital; Statistics and Data Center (S.W., S.K.), Center for Clinical Epidemiology (S.W.S.), and Samsung Alzheimer Research Center, Neuroscience Center (H.J.K., S.P., H.J., D.L.N., S.W.S.), Samsung Medical Center, Seoul; Department of Neurology (Y.K.), Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital; Department of Neurology (S.H.C.), Chonnam National University Hospital, Gwangju; Department of Neurology (B.L.), Yuseong Geriatric Rehabilitation Hospital, Pohang, Korea; and Department of Internal Medicine (S.N.L.), Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Sookyoung Woo
- From the Departments of Neurology (S.E.K., H.J.K., S.P., H.J., S.J.K., S.H.C., D.L.N., S.W.S.), Clinical Research Design and Evaluation (S.W.S.), and Health Sciences and Technology (D.L.N.), SAIHST, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul; Department of Neurology (S.E.K., B.I.L., J.P.), Inje University College of Medicine, Haeundae Paik Hospital, Busan; Department of Neurology (J.S.L.), Kyung Hee University Hospital; Statistics and Data Center (S.W., S.K.), Center for Clinical Epidemiology (S.W.S.), and Samsung Alzheimer Research Center, Neuroscience Center (H.J.K., S.P., H.J., D.L.N., S.W.S.), Samsung Medical Center, Seoul; Department of Neurology (Y.K.), Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital; Department of Neurology (S.H.C.), Chonnam National University Hospital, Gwangju; Department of Neurology (B.L.), Yuseong Geriatric Rehabilitation Hospital, Pohang, Korea; and Department of Internal Medicine (S.N.L.), Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Seonwoo Kim
- From the Departments of Neurology (S.E.K., H.J.K., S.P., H.J., S.J.K., S.H.C., D.L.N., S.W.S.), Clinical Research Design and Evaluation (S.W.S.), and Health Sciences and Technology (D.L.N.), SAIHST, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul; Department of Neurology (S.E.K., B.I.L., J.P.), Inje University College of Medicine, Haeundae Paik Hospital, Busan; Department of Neurology (J.S.L.), Kyung Hee University Hospital; Statistics and Data Center (S.W., S.K.), Center for Clinical Epidemiology (S.W.S.), and Samsung Alzheimer Research Center, Neuroscience Center (H.J.K., S.P., H.J., D.L.N., S.W.S.), Samsung Medical Center, Seoul; Department of Neurology (Y.K.), Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital; Department of Neurology (S.H.C.), Chonnam National University Hospital, Gwangju; Department of Neurology (B.L.), Yuseong Geriatric Rehabilitation Hospital, Pohang, Korea; and Department of Internal Medicine (S.N.L.), Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Hee Jin Kim
- From the Departments of Neurology (S.E.K., H.J.K., S.P., H.J., S.J.K., S.H.C., D.L.N., S.W.S.), Clinical Research Design and Evaluation (S.W.S.), and Health Sciences and Technology (D.L.N.), SAIHST, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul; Department of Neurology (S.E.K., B.I.L., J.P.), Inje University College of Medicine, Haeundae Paik Hospital, Busan; Department of Neurology (J.S.L.), Kyung Hee University Hospital; Statistics and Data Center (S.W., S.K.), Center for Clinical Epidemiology (S.W.S.), and Samsung Alzheimer Research Center, Neuroscience Center (H.J.K., S.P., H.J., D.L.N., S.W.S.), Samsung Medical Center, Seoul; Department of Neurology (Y.K.), Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital; Department of Neurology (S.H.C.), Chonnam National University Hospital, Gwangju; Department of Neurology (B.L.), Yuseong Geriatric Rehabilitation Hospital, Pohang, Korea; and Department of Internal Medicine (S.N.L.), Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Seongbeom Park
- From the Departments of Neurology (S.E.K., H.J.K., S.P., H.J., S.J.K., S.H.C., D.L.N., S.W.S.), Clinical Research Design and Evaluation (S.W.S.), and Health Sciences and Technology (D.L.N.), SAIHST, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul; Department of Neurology (S.E.K., B.I.L., J.P.), Inje University College of Medicine, Haeundae Paik Hospital, Busan; Department of Neurology (J.S.L.), Kyung Hee University Hospital; Statistics and Data Center (S.W., S.K.), Center for Clinical Epidemiology (S.W.S.), and Samsung Alzheimer Research Center, Neuroscience Center (H.J.K., S.P., H.J., D.L.N., S.W.S.), Samsung Medical Center, Seoul; Department of Neurology (Y.K.), Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital; Department of Neurology (S.H.C.), Chonnam National University Hospital, Gwangju; Department of Neurology (B.L.), Yuseong Geriatric Rehabilitation Hospital, Pohang, Korea; and Department of Internal Medicine (S.N.L.), Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Byung In Lee
- From the Departments of Neurology (S.E.K., H.J.K., S.P., H.J., S.J.K., S.H.C., D.L.N., S.W.S.), Clinical Research Design and Evaluation (S.W.S.), and Health Sciences and Technology (D.L.N.), SAIHST, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul; Department of Neurology (S.E.K., B.I.L., J.P.), Inje University College of Medicine, Haeundae Paik Hospital, Busan; Department of Neurology (J.S.L.), Kyung Hee University Hospital; Statistics and Data Center (S.W., S.K.), Center for Clinical Epidemiology (S.W.S.), and Samsung Alzheimer Research Center, Neuroscience Center (H.J.K., S.P., H.J., D.L.N., S.W.S.), Samsung Medical Center, Seoul; Department of Neurology (Y.K.), Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital; Department of Neurology (S.H.C.), Chonnam National University Hospital, Gwangju; Department of Neurology (B.L.), Yuseong Geriatric Rehabilitation Hospital, Pohang, Korea; and Department of Internal Medicine (S.N.L.), Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Jinse Park
- From the Departments of Neurology (S.E.K., H.J.K., S.P., H.J., S.J.K., S.H.C., D.L.N., S.W.S.), Clinical Research Design and Evaluation (S.W.S.), and Health Sciences and Technology (D.L.N.), SAIHST, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul; Department of Neurology (S.E.K., B.I.L., J.P.), Inje University College of Medicine, Haeundae Paik Hospital, Busan; Department of Neurology (J.S.L.), Kyung Hee University Hospital; Statistics and Data Center (S.W., S.K.), Center for Clinical Epidemiology (S.W.S.), and Samsung Alzheimer Research Center, Neuroscience Center (H.J.K., S.P., H.J., D.L.N., S.W.S.), Samsung Medical Center, Seoul; Department of Neurology (Y.K.), Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital; Department of Neurology (S.H.C.), Chonnam National University Hospital, Gwangju; Department of Neurology (B.L.), Yuseong Geriatric Rehabilitation Hospital, Pohang, Korea; and Department of Internal Medicine (S.N.L.), Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Yeshin Kim
- From the Departments of Neurology (S.E.K., H.J.K., S.P., H.J., S.J.K., S.H.C., D.L.N., S.W.S.), Clinical Research Design and Evaluation (S.W.S.), and Health Sciences and Technology (D.L.N.), SAIHST, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul; Department of Neurology (S.E.K., B.I.L., J.P.), Inje University College of Medicine, Haeundae Paik Hospital, Busan; Department of Neurology (J.S.L.), Kyung Hee University Hospital; Statistics and Data Center (S.W., S.K.), Center for Clinical Epidemiology (S.W.S.), and Samsung Alzheimer Research Center, Neuroscience Center (H.J.K., S.P., H.J., D.L.N., S.W.S.), Samsung Medical Center, Seoul; Department of Neurology (Y.K.), Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital; Department of Neurology (S.H.C.), Chonnam National University Hospital, Gwangju; Department of Neurology (B.L.), Yuseong Geriatric Rehabilitation Hospital, Pohang, Korea; and Department of Internal Medicine (S.N.L.), Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Hyemin Jang
- From the Departments of Neurology (S.E.K., H.J.K., S.P., H.J., S.J.K., S.H.C., D.L.N., S.W.S.), Clinical Research Design and Evaluation (S.W.S.), and Health Sciences and Technology (D.L.N.), SAIHST, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul; Department of Neurology (S.E.K., B.I.L., J.P.), Inje University College of Medicine, Haeundae Paik Hospital, Busan; Department of Neurology (J.S.L.), Kyung Hee University Hospital; Statistics and Data Center (S.W., S.K.), Center for Clinical Epidemiology (S.W.S.), and Samsung Alzheimer Research Center, Neuroscience Center (H.J.K., S.P., H.J., D.L.N., S.W.S.), Samsung Medical Center, Seoul; Department of Neurology (Y.K.), Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital; Department of Neurology (S.H.C.), Chonnam National University Hospital, Gwangju; Department of Neurology (B.L.), Yuseong Geriatric Rehabilitation Hospital, Pohang, Korea; and Department of Internal Medicine (S.N.L.), Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Seung Joo Kim
- From the Departments of Neurology (S.E.K., H.J.K., S.P., H.J., S.J.K., S.H.C., D.L.N., S.W.S.), Clinical Research Design and Evaluation (S.W.S.), and Health Sciences and Technology (D.L.N.), SAIHST, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul; Department of Neurology (S.E.K., B.I.L., J.P.), Inje University College of Medicine, Haeundae Paik Hospital, Busan; Department of Neurology (J.S.L.), Kyung Hee University Hospital; Statistics and Data Center (S.W., S.K.), Center for Clinical Epidemiology (S.W.S.), and Samsung Alzheimer Research Center, Neuroscience Center (H.J.K., S.P., H.J., D.L.N., S.W.S.), Samsung Medical Center, Seoul; Department of Neurology (Y.K.), Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital; Department of Neurology (S.H.C.), Chonnam National University Hospital, Gwangju; Department of Neurology (B.L.), Yuseong Geriatric Rehabilitation Hospital, Pohang, Korea; and Department of Internal Medicine (S.N.L.), Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Soo Hyun Cho
- From the Departments of Neurology (S.E.K., H.J.K., S.P., H.J., S.J.K., S.H.C., D.L.N., S.W.S.), Clinical Research Design and Evaluation (S.W.S.), and Health Sciences and Technology (D.L.N.), SAIHST, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul; Department of Neurology (S.E.K., B.I.L., J.P.), Inje University College of Medicine, Haeundae Paik Hospital, Busan; Department of Neurology (J.S.L.), Kyung Hee University Hospital; Statistics and Data Center (S.W., S.K.), Center for Clinical Epidemiology (S.W.S.), and Samsung Alzheimer Research Center, Neuroscience Center (H.J.K., S.P., H.J., D.L.N., S.W.S.), Samsung Medical Center, Seoul; Department of Neurology (Y.K.), Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital; Department of Neurology (S.H.C.), Chonnam National University Hospital, Gwangju; Department of Neurology (B.L.), Yuseong Geriatric Rehabilitation Hospital, Pohang, Korea; and Department of Internal Medicine (S.N.L.), Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Byungju Lee
- From the Departments of Neurology (S.E.K., H.J.K., S.P., H.J., S.J.K., S.H.C., D.L.N., S.W.S.), Clinical Research Design and Evaluation (S.W.S.), and Health Sciences and Technology (D.L.N.), SAIHST, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul; Department of Neurology (S.E.K., B.I.L., J.P.), Inje University College of Medicine, Haeundae Paik Hospital, Busan; Department of Neurology (J.S.L.), Kyung Hee University Hospital; Statistics and Data Center (S.W., S.K.), Center for Clinical Epidemiology (S.W.S.), and Samsung Alzheimer Research Center, Neuroscience Center (H.J.K., S.P., H.J., D.L.N., S.W.S.), Samsung Medical Center, Seoul; Department of Neurology (Y.K.), Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital; Department of Neurology (S.H.C.), Chonnam National University Hospital, Gwangju; Department of Neurology (B.L.), Yuseong Geriatric Rehabilitation Hospital, Pohang, Korea; and Department of Internal Medicine (S.N.L.), Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Samuel N Lockhart
- From the Departments of Neurology (S.E.K., H.J.K., S.P., H.J., S.J.K., S.H.C., D.L.N., S.W.S.), Clinical Research Design and Evaluation (S.W.S.), and Health Sciences and Technology (D.L.N.), SAIHST, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul; Department of Neurology (S.E.K., B.I.L., J.P.), Inje University College of Medicine, Haeundae Paik Hospital, Busan; Department of Neurology (J.S.L.), Kyung Hee University Hospital; Statistics and Data Center (S.W., S.K.), Center for Clinical Epidemiology (S.W.S.), and Samsung Alzheimer Research Center, Neuroscience Center (H.J.K., S.P., H.J., D.L.N., S.W.S.), Samsung Medical Center, Seoul; Department of Neurology (Y.K.), Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital; Department of Neurology (S.H.C.), Chonnam National University Hospital, Gwangju; Department of Neurology (B.L.), Yuseong Geriatric Rehabilitation Hospital, Pohang, Korea; and Department of Internal Medicine (S.N.L.), Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Duk L Na
- From the Departments of Neurology (S.E.K., H.J.K., S.P., H.J., S.J.K., S.H.C., D.L.N., S.W.S.), Clinical Research Design and Evaluation (S.W.S.), and Health Sciences and Technology (D.L.N.), SAIHST, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul; Department of Neurology (S.E.K., B.I.L., J.P.), Inje University College of Medicine, Haeundae Paik Hospital, Busan; Department of Neurology (J.S.L.), Kyung Hee University Hospital; Statistics and Data Center (S.W., S.K.), Center for Clinical Epidemiology (S.W.S.), and Samsung Alzheimer Research Center, Neuroscience Center (H.J.K., S.P., H.J., D.L.N., S.W.S.), Samsung Medical Center, Seoul; Department of Neurology (Y.K.), Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital; Department of Neurology (S.H.C.), Chonnam National University Hospital, Gwangju; Department of Neurology (B.L.), Yuseong Geriatric Rehabilitation Hospital, Pohang, Korea; and Department of Internal Medicine (S.N.L.), Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Sang Won Seo
- From the Departments of Neurology (S.E.K., H.J.K., S.P., H.J., S.J.K., S.H.C., D.L.N., S.W.S.), Clinical Research Design and Evaluation (S.W.S.), and Health Sciences and Technology (D.L.N.), SAIHST, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul; Department of Neurology (S.E.K., B.I.L., J.P.), Inje University College of Medicine, Haeundae Paik Hospital, Busan; Department of Neurology (J.S.L.), Kyung Hee University Hospital; Statistics and Data Center (S.W., S.K.), Center for Clinical Epidemiology (S.W.S.), and Samsung Alzheimer Research Center, Neuroscience Center (H.J.K., S.P., H.J., D.L.N., S.W.S.), Samsung Medical Center, Seoul; Department of Neurology (Y.K.), Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital; Department of Neurology (S.H.C.), Chonnam National University Hospital, Gwangju; Department of Neurology (B.L.), Yuseong Geriatric Rehabilitation Hospital, Pohang, Korea; and Department of Internal Medicine (S.N.L.), Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC.
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Beyer F, Kharabian Masouleh S, Kratzsch J, Schroeter ML, Röhr S, Riedel-Heller SG, Villringer A, Witte AV. A Metabolic Obesity Profile Is Associated With Decreased Gray Matter Volume in Cognitively Healthy Older Adults. Front Aging Neurosci 2019; 11:202. [PMID: 31427957 PMCID: PMC6688742 DOI: 10.3389/fnagi.2019.00202] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Accepted: 07/17/2019] [Indexed: 12/22/2022] Open
Abstract
Obesity is a risk factor for cognitive decline and gray matter volume loss in aging. Studies have shown that different metabolic factors, e.g., dysregulated glucose metabolism and systemic inflammation, might mediate this association. Yet, even though these risk factors tend to co-occur, they have mostly been investigated separately, making it difficult to establish their joint contribution to gray matter volume structure in aging. Here, we therefore aimed to determine a metabolic profile of obesity that takes into account different anthropometric and metabolic measures to explain differences in gray matter volume in aging. We included 748 elderly, cognitively healthy participants (age range: 60 - 79 years, BMI range: 17 - 42 kg/m2) of the LIFE-Adult Study. All participants had complete information on body mass index, waist-to-hip ratio, glycated hemoglobin, total blood cholesterol, high-density lipoprotein, interleukin-6, C-reactive protein, adiponectin and leptin. Voxelwise gray matter volume was extracted from T1-weighted images acquired on a 3T Siemens MRI scanner. We used partial least squares correlation to extract latent variables with maximal covariance between anthropometric, metabolic and gray matter volume and applied permutation/bootstrapping and cross-validation to test significance and reliability of the result. We further explored the association of the latent variables with cognitive performance. Permutation tests and cross-validation indicated that the first pair of latent variables was significant and reliable. The metabolic profile was driven by negative contributions from body mass index, waist-to-hip ratio, glycated hemoglobin, C-reactive protein and leptin and a positive contribution from adiponectin. It positively covaried with gray matter volume in temporal, frontal and occipital lobe as well as subcortical regions and cerebellum. This result shows that a metabolic profile characterized by high body fat, visceral adiposity and systemic inflammation is associated with reduced gray matter volume and potentially reduced executive function in older adults. We observed the highest contributions for body weight and fat mass, which indicates that factors underlying sustained energy imbalance, like sedentary lifestyle or intake of energy-dense food, might be important determinants of gray matter structure in aging.
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Affiliation(s)
- Frauke Beyer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Subproject A1, CRC 1052 “Obesity Mechanisms”, University of Leipzig, Leipzig, Germany
| | - Shahrzad Kharabian Masouleh
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany
| | - Jürgen Kratzsch
- Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University of Leipzig, Leipzig, Germany
| | - Matthias L. Schroeter
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Clinic for Cognitive Neurology, University of Leipzig, Leipzig, Germany
| | - Susanne Röhr
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), University of Leipzig, Leipzig, Germany
| | - Steffi G. Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), University of Leipzig, Leipzig, Germany
| | - Arno Villringer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Subproject A1, CRC 1052 “Obesity Mechanisms”, University of Leipzig, Leipzig, Germany
- Clinic for Cognitive Neurology, University of Leipzig, Leipzig, Germany
| | - A. Veronica Witte
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Subproject A1, CRC 1052 “Obesity Mechanisms”, University of Leipzig, Leipzig, Germany
- Clinic for Cognitive Neurology, University of Leipzig, Leipzig, Germany
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Mansukhani MP, Kolla BP, Somers VK. Hypertension and Cognitive Decline: Implications of Obstructive Sleep Apnea. Front Cardiovasc Med 2019; 6:96. [PMID: 31355211 PMCID: PMC6636426 DOI: 10.3389/fcvm.2019.00096] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Accepted: 06/25/2019] [Indexed: 12/16/2022] Open
Abstract
Hypertension and dementia are highly prevalent in the general population. Hypertension has been shown to be a risk factor for Alzheimer's dementia and vascular dementia. Sleep apnea, another common disorder, is strongly associated with hypertension and recent evidence suggests that it may also be linked with cognitive decline and dementia. It is possible that sleep apnea is the final common pathway linking hypertension to the development of dementia. This hypothesis merits further exploration as sleep apnea is readily treatable and such therapy could foreseeably delay or prevent the onset of dementia. At present, there is a paucity of therapeutic modalities that can prevent or arrest cognitive decline. In this review, we describe the associations between hypertension, dementia and sleep apnea, the pathophysiologic mechanisms underlying these associations, and the literature examining the impact of treatment of hypertension and sleep apnea on cognition. Potential areas of future investigation that may help advance our understanding of the magnitude and direction of the interaction between these conditions and the effects of treatment of high blood pressure and sleep apnea on cognition are highlighted.
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Affiliation(s)
| | - Bhanu Prakash Kolla
- Center for Sleep Medicine, Mayo Clinic, Rochester, MN, United States.,Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States
| | - Virend K Somers
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, United States
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Boots EA, Zhan L, Dion C, Karstens AJ, Peven JC, Ajilore O, Lamar M. Cardiovascular disease risk factors, tract-based structural connectomics, and cognition in older adults. Neuroimage 2019; 196:152-160. [PMID: 30980900 DOI: 10.1016/j.neuroimage.2019.04.024] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Revised: 03/29/2019] [Accepted: 04/05/2019] [Indexed: 01/01/2023] Open
Abstract
Cardiovascular disease risk factors (CVD-RFs) are associated with decreased gray and white matter integrity and cognitive impairment in older adults. Less is known regarding the interplay between CVD-RFs, brain structural connectome integrity, and cognition. We examined whether CVD-RFs were associated with measures of tract-based structural connectivity in 94 non-demented/non-depressed older adults and if alterations in connectivity mediated associations between CVD-RFs and cognition. Participants (age = 68.2 years; 52.1% female; 46.8% Black) underwent CVD-RF assessment, MRI, and cognitive evaluation. Framingham 10-year stroke risk (FSRP-10) quantified CVD-RFs. Graph theory analysis integrated T1-derived gray matter regions of interest (ROIs; 23 a-priori ROIs associated with CVD-RFs and dementia), and diffusion MRI-derived white matter tractography into connectivity matrices analyzed for local efficiency and nodal strength. A principal component analysis resulted in three rotated factor scores reflecting executive function (EF; FAS, Trail Making Test (TMT) B-A, Letter-Number Sequencing, Matrix Reasoning); attention/information processing (AIP; TMT-A, TMT-Motor, Digit Symbol); and memory (CVLT-II Trials 1-5 Total, Delayed Free Recall, Recognition Discriminability). Linear regressions between FSRP-10 and connectome ROIs adjusting for word reading, intracranial volume, and white matter hyperintensities revealed negative associations with nodal strength in eight ROIs (p-values<.05) and negative associations with efficiency in two ROIs, and a positive association in one ROI (p-values<.05). There was mediation of bilateral hippocampal strength on FSRP-10 and AIP, and left rostral middle frontal gyrus strength on FSRP-10 and AIP and EF. Stroke risk plays differential roles in connectivity and cognition, suggesting the importance of multi-modal neuroimaging biomarkers in understanding age-related CVD-RF burden and brain-behavior.
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Affiliation(s)
- Elizabeth A Boots
- Department of Psychology, University of Illinois at Chicago, Chicago, IL, 60607, USA; Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Liang Zhan
- Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, 15260, USA
| | - Catherine Dion
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, 32603, USA
| | - Aimee J Karstens
- Department of Psychology, University of Illinois at Chicago, Chicago, IL, 60607, USA
| | - Jamie C Peven
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, 15260, USA
| | - Olusola Ajilore
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, 60612, USA
| | - Melissa Lamar
- Department of Psychology, University of Illinois at Chicago, Chicago, IL, 60607, USA; Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, 60612, USA; Department of Behavioral Sciences, Rush University Medical Center, Chicago, IL, 60612, USA.
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Knopman DS, Lundt ES, Therneau TM, Vemuri P, Lowe VJ, Kantarci K, Gunter JL, Senjem ML, Mielke MM, Machulda MM, Boeve BF, Jones DT, Graff-Radford J, Albertson SM, Schwarz CG, Petersen RC, Jack CR. Entorhinal cortex tau, amyloid-β, cortical thickness and memory performance in non-demented subjects. Brain 2019; 142:1148-1160. [PMID: 30759182 PMCID: PMC6439321 DOI: 10.1093/brain/awz025] [Citation(s) in RCA: 63] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2018] [Revised: 12/03/2018] [Accepted: 12/15/2018] [Indexed: 01/13/2023] Open
Abstract
As more biomarkers for Alzheimer's disease and age-related brain conditions become available, more sophisticated analytic approaches are needed to take full advantage of the information they convey. Most work has been done using categorical approaches but the joint relationships of tau PET, amyloid PET and cortical thickness in their continuous distributions to cognition have been under-explored. We evaluated non-demented subjects over age 50 years in the Mayo Clinic Study of Aging, 2037 of whom had undergone 3 T MRI scan, 985 amyloid PET scan with 11C-Pittsburgh compound B (PIB) and MRI, and 577 PIB-PET, 18F-AV1451 flortaucipir PET and MRI. Participants received a nine-test cognitive battery. Three test scores (logical memory delayed recall, visual reproduction delayed recall and auditory verbal learning test delayed recall) were used to generate a memory composite z-score. We used Gradient Boosting Machine models to analyse the relationship between regional cortical thickness, flortaucipir PET signal, PIB-PET signal and memory z-scores. Age, education, sex and number of test exposures were included in the model as covariates. In this population-based study of non-demented subjects, most of the associations between biomarkers and memory z-scores accrued after 70 years of age. Entorhinal cortex exhibited the strongest associations between biomarkers and memory z-scores. Other temporal regions showed similar but attenuated associations, and non-temporal regions had negligible associations between memory z-scores and biomarkers. Entorhinal flortaucipir PET signal, PIB-PET signal and entorhinal cortical thickness were independently and additively associated with declining memory z-scores. In contrast to global PIB-PET signal where only very high amyloid-β levels were associated low memory z-scores, entorhinal flortaucipir PET signal just above background levels was associated with low memory z-scores. The lowest memory z-scores occurred with the confluence of elevated entorhinal flortaucipir PET signal and lower entorhinal cortical thickness.
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Affiliation(s)
| | - Emily S Lundt
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Terry M Therneau
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | | | - Val J Lowe
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Kejal Kantarci
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | | | | | - Michelle M Mielke
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Mary M Machulda
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | | | - David T Jones
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
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Schaare HL, Kharabian Masouleh S, Beyer F, Kumral D, Uhlig M, Reinelt JD, Reiter AMF, Lampe L, Babayan A, Erbey M, Roebbig J, Schroeter ML, Okon-Singer H, Müller K, Mendes N, Margulies DS, Witte AV, Gaebler M, Villringer A. Association of peripheral blood pressure with gray matter volume in 19- to 40-year-old adults. Neurology 2019; 92:e758-e773. [PMID: 30674602 DOI: 10.1212/wnl.0000000000006947] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2018] [Accepted: 10/15/2018] [Indexed: 12/26/2022] Open
Abstract
OBJECTIVE To test whether elevated blood pressure (BP) relates to gray matter (GM) volume (GMV) changes in young adults who had not previously been diagnosed with hypertension (systolic BP [SBP]/diastolic BP [DBP] ≥140/90 mm Hg). METHODS We associated BP with GMV from structural 3T T1-weighted MRI of 423 healthy adults between 19 and 40 years of age (mean age 27.7 ± 5.3 years, 177 women, SBP/DBP 123.2/73.4 ± 12.2/8.5 mm Hg). Data originated from 4 previously unpublished cross-sectional studies conducted in Leipzig, Germany. We performed voxel-based morphometry on each study separately and combined results in image-based meta-analyses (IBMA) to assess cumulative effects across studies. Resting BP was assigned to 1 of 4 categories: (1) SBP <120 and DBP <80 mm Hg, (2) SBP 120-129 or DBP 80-84 mm Hg, (3) SBP 130-139 or DBP 85-89 mm Hg, (4) SBP ≥140 or DBP ≥90 mm Hg. RESULTS IBMA yielded the following results: (1) lower regional GMV was correlated with higher peripheral BP; (2) lower GMV was found with higher BP when comparing individuals in subhypertensive categories 3 and 2, respectively, to those in category 1; (3) lower BP-related GMV was found in regions including hippocampus, amygdala, thalamus, frontal, and parietal structures (e.g., precuneus). CONCLUSION BP ≥120/80 mm Hg was associated with lower GMV in regions that have previously been related to GM decline in older individuals with manifest hypertension. Our study shows that BP-associated GM alterations emerge continuously across the range of BP and earlier in adulthood than previously assumed. This suggests that treating hypertension or maintaining lower BP in early adulthood might be essential for preventing the pathophysiologic cascade of asymptomatic cerebrovascular disease to symptomatic end-organ damage, such as stroke or dementia.
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Affiliation(s)
- H Lina Schaare
- From the Department of Neurology (H.L.S., S.K.M., F.B., D.K., M.U., J.D.R., A.M.F.R., L.L., A.B., M.E., J.R., M.L.S., A.V.W., M.G., A.V.), Max Planck Research Group for Neuroanatomy & Connectivity (N.M., D.S.M.), and Nuclear Magnetic Resonance Group (K.M.), Max Planck Institute for Human Cognitive and Brain Sciences; International Max Planck Research School NeuroCom (H.L.S., M.U.), Leipzig; MindBrainBody Institute at Berlin School of Mind and Brain (D.K., A.B., M.E., M.G., A.V.), Charité & Humboldt Universität zu Berlin; Lifespan Developmental Neuroscience (A.M.F.R.), Technische Universität Dresden; Leipzig Research Centre for Civilization Diseases (LIFE) (M.L.S., M.G., A.V.), Clinic for Cognitive Neurology (M.L.S., A.V.), and Collaborative Research Centre 1052 'Obesity Mechanisms,' Subproject A1, Faculty of Medicine (F.B., A.V.W., A.V.), University of Leipzig, Germany; Department of Psychology (H.O.-S.), University of Haifa, Israel; and Center for Stroke Research Berlin (A.V.), Charité-Universitätsmedizin Berlin, Germany.
| | - Shahrzad Kharabian Masouleh
- From the Department of Neurology (H.L.S., S.K.M., F.B., D.K., M.U., J.D.R., A.M.F.R., L.L., A.B., M.E., J.R., M.L.S., A.V.W., M.G., A.V.), Max Planck Research Group for Neuroanatomy & Connectivity (N.M., D.S.M.), and Nuclear Magnetic Resonance Group (K.M.), Max Planck Institute for Human Cognitive and Brain Sciences; International Max Planck Research School NeuroCom (H.L.S., M.U.), Leipzig; MindBrainBody Institute at Berlin School of Mind and Brain (D.K., A.B., M.E., M.G., A.V.), Charité & Humboldt Universität zu Berlin; Lifespan Developmental Neuroscience (A.M.F.R.), Technische Universität Dresden; Leipzig Research Centre for Civilization Diseases (LIFE) (M.L.S., M.G., A.V.), Clinic for Cognitive Neurology (M.L.S., A.V.), and Collaborative Research Centre 1052 'Obesity Mechanisms,' Subproject A1, Faculty of Medicine (F.B., A.V.W., A.V.), University of Leipzig, Germany; Department of Psychology (H.O.-S.), University of Haifa, Israel; and Center for Stroke Research Berlin (A.V.), Charité-Universitätsmedizin Berlin, Germany
| | - Frauke Beyer
- From the Department of Neurology (H.L.S., S.K.M., F.B., D.K., M.U., J.D.R., A.M.F.R., L.L., A.B., M.E., J.R., M.L.S., A.V.W., M.G., A.V.), Max Planck Research Group for Neuroanatomy & Connectivity (N.M., D.S.M.), and Nuclear Magnetic Resonance Group (K.M.), Max Planck Institute for Human Cognitive and Brain Sciences; International Max Planck Research School NeuroCom (H.L.S., M.U.), Leipzig; MindBrainBody Institute at Berlin School of Mind and Brain (D.K., A.B., M.E., M.G., A.V.), Charité & Humboldt Universität zu Berlin; Lifespan Developmental Neuroscience (A.M.F.R.), Technische Universität Dresden; Leipzig Research Centre for Civilization Diseases (LIFE) (M.L.S., M.G., A.V.), Clinic for Cognitive Neurology (M.L.S., A.V.), and Collaborative Research Centre 1052 'Obesity Mechanisms,' Subproject A1, Faculty of Medicine (F.B., A.V.W., A.V.), University of Leipzig, Germany; Department of Psychology (H.O.-S.), University of Haifa, Israel; and Center for Stroke Research Berlin (A.V.), Charité-Universitätsmedizin Berlin, Germany
| | - Deniz Kumral
- From the Department of Neurology (H.L.S., S.K.M., F.B., D.K., M.U., J.D.R., A.M.F.R., L.L., A.B., M.E., J.R., M.L.S., A.V.W., M.G., A.V.), Max Planck Research Group for Neuroanatomy & Connectivity (N.M., D.S.M.), and Nuclear Magnetic Resonance Group (K.M.), Max Planck Institute for Human Cognitive and Brain Sciences; International Max Planck Research School NeuroCom (H.L.S., M.U.), Leipzig; MindBrainBody Institute at Berlin School of Mind and Brain (D.K., A.B., M.E., M.G., A.V.), Charité & Humboldt Universität zu Berlin; Lifespan Developmental Neuroscience (A.M.F.R.), Technische Universität Dresden; Leipzig Research Centre for Civilization Diseases (LIFE) (M.L.S., M.G., A.V.), Clinic for Cognitive Neurology (M.L.S., A.V.), and Collaborative Research Centre 1052 'Obesity Mechanisms,' Subproject A1, Faculty of Medicine (F.B., A.V.W., A.V.), University of Leipzig, Germany; Department of Psychology (H.O.-S.), University of Haifa, Israel; and Center for Stroke Research Berlin (A.V.), Charité-Universitätsmedizin Berlin, Germany
| | - Marie Uhlig
- From the Department of Neurology (H.L.S., S.K.M., F.B., D.K., M.U., J.D.R., A.M.F.R., L.L., A.B., M.E., J.R., M.L.S., A.V.W., M.G., A.V.), Max Planck Research Group for Neuroanatomy & Connectivity (N.M., D.S.M.), and Nuclear Magnetic Resonance Group (K.M.), Max Planck Institute for Human Cognitive and Brain Sciences; International Max Planck Research School NeuroCom (H.L.S., M.U.), Leipzig; MindBrainBody Institute at Berlin School of Mind and Brain (D.K., A.B., M.E., M.G., A.V.), Charité & Humboldt Universität zu Berlin; Lifespan Developmental Neuroscience (A.M.F.R.), Technische Universität Dresden; Leipzig Research Centre for Civilization Diseases (LIFE) (M.L.S., M.G., A.V.), Clinic for Cognitive Neurology (M.L.S., A.V.), and Collaborative Research Centre 1052 'Obesity Mechanisms,' Subproject A1, Faculty of Medicine (F.B., A.V.W., A.V.), University of Leipzig, Germany; Department of Psychology (H.O.-S.), University of Haifa, Israel; and Center for Stroke Research Berlin (A.V.), Charité-Universitätsmedizin Berlin, Germany
| | - Janis D Reinelt
- From the Department of Neurology (H.L.S., S.K.M., F.B., D.K., M.U., J.D.R., A.M.F.R., L.L., A.B., M.E., J.R., M.L.S., A.V.W., M.G., A.V.), Max Planck Research Group for Neuroanatomy & Connectivity (N.M., D.S.M.), and Nuclear Magnetic Resonance Group (K.M.), Max Planck Institute for Human Cognitive and Brain Sciences; International Max Planck Research School NeuroCom (H.L.S., M.U.), Leipzig; MindBrainBody Institute at Berlin School of Mind and Brain (D.K., A.B., M.E., M.G., A.V.), Charité & Humboldt Universität zu Berlin; Lifespan Developmental Neuroscience (A.M.F.R.), Technische Universität Dresden; Leipzig Research Centre for Civilization Diseases (LIFE) (M.L.S., M.G., A.V.), Clinic for Cognitive Neurology (M.L.S., A.V.), and Collaborative Research Centre 1052 'Obesity Mechanisms,' Subproject A1, Faculty of Medicine (F.B., A.V.W., A.V.), University of Leipzig, Germany; Department of Psychology (H.O.-S.), University of Haifa, Israel; and Center for Stroke Research Berlin (A.V.), Charité-Universitätsmedizin Berlin, Germany
| | - Andrea M F Reiter
- From the Department of Neurology (H.L.S., S.K.M., F.B., D.K., M.U., J.D.R., A.M.F.R., L.L., A.B., M.E., J.R., M.L.S., A.V.W., M.G., A.V.), Max Planck Research Group for Neuroanatomy & Connectivity (N.M., D.S.M.), and Nuclear Magnetic Resonance Group (K.M.), Max Planck Institute for Human Cognitive and Brain Sciences; International Max Planck Research School NeuroCom (H.L.S., M.U.), Leipzig; MindBrainBody Institute at Berlin School of Mind and Brain (D.K., A.B., M.E., M.G., A.V.), Charité & Humboldt Universität zu Berlin; Lifespan Developmental Neuroscience (A.M.F.R.), Technische Universität Dresden; Leipzig Research Centre for Civilization Diseases (LIFE) (M.L.S., M.G., A.V.), Clinic for Cognitive Neurology (M.L.S., A.V.), and Collaborative Research Centre 1052 'Obesity Mechanisms,' Subproject A1, Faculty of Medicine (F.B., A.V.W., A.V.), University of Leipzig, Germany; Department of Psychology (H.O.-S.), University of Haifa, Israel; and Center for Stroke Research Berlin (A.V.), Charité-Universitätsmedizin Berlin, Germany
| | - Leonie Lampe
- From the Department of Neurology (H.L.S., S.K.M., F.B., D.K., M.U., J.D.R., A.M.F.R., L.L., A.B., M.E., J.R., M.L.S., A.V.W., M.G., A.V.), Max Planck Research Group for Neuroanatomy & Connectivity (N.M., D.S.M.), and Nuclear Magnetic Resonance Group (K.M.), Max Planck Institute for Human Cognitive and Brain Sciences; International Max Planck Research School NeuroCom (H.L.S., M.U.), Leipzig; MindBrainBody Institute at Berlin School of Mind and Brain (D.K., A.B., M.E., M.G., A.V.), Charité & Humboldt Universität zu Berlin; Lifespan Developmental Neuroscience (A.M.F.R.), Technische Universität Dresden; Leipzig Research Centre for Civilization Diseases (LIFE) (M.L.S., M.G., A.V.), Clinic for Cognitive Neurology (M.L.S., A.V.), and Collaborative Research Centre 1052 'Obesity Mechanisms,' Subproject A1, Faculty of Medicine (F.B., A.V.W., A.V.), University of Leipzig, Germany; Department of Psychology (H.O.-S.), University of Haifa, Israel; and Center for Stroke Research Berlin (A.V.), Charité-Universitätsmedizin Berlin, Germany
| | - Anahit Babayan
- From the Department of Neurology (H.L.S., S.K.M., F.B., D.K., M.U., J.D.R., A.M.F.R., L.L., A.B., M.E., J.R., M.L.S., A.V.W., M.G., A.V.), Max Planck Research Group for Neuroanatomy & Connectivity (N.M., D.S.M.), and Nuclear Magnetic Resonance Group (K.M.), Max Planck Institute for Human Cognitive and Brain Sciences; International Max Planck Research School NeuroCom (H.L.S., M.U.), Leipzig; MindBrainBody Institute at Berlin School of Mind and Brain (D.K., A.B., M.E., M.G., A.V.), Charité & Humboldt Universität zu Berlin; Lifespan Developmental Neuroscience (A.M.F.R.), Technische Universität Dresden; Leipzig Research Centre for Civilization Diseases (LIFE) (M.L.S., M.G., A.V.), Clinic for Cognitive Neurology (M.L.S., A.V.), and Collaborative Research Centre 1052 'Obesity Mechanisms,' Subproject A1, Faculty of Medicine (F.B., A.V.W., A.V.), University of Leipzig, Germany; Department of Psychology (H.O.-S.), University of Haifa, Israel; and Center for Stroke Research Berlin (A.V.), Charité-Universitätsmedizin Berlin, Germany
| | - Miray Erbey
- From the Department of Neurology (H.L.S., S.K.M., F.B., D.K., M.U., J.D.R., A.M.F.R., L.L., A.B., M.E., J.R., M.L.S., A.V.W., M.G., A.V.), Max Planck Research Group for Neuroanatomy & Connectivity (N.M., D.S.M.), and Nuclear Magnetic Resonance Group (K.M.), Max Planck Institute for Human Cognitive and Brain Sciences; International Max Planck Research School NeuroCom (H.L.S., M.U.), Leipzig; MindBrainBody Institute at Berlin School of Mind and Brain (D.K., A.B., M.E., M.G., A.V.), Charité & Humboldt Universität zu Berlin; Lifespan Developmental Neuroscience (A.M.F.R.), Technische Universität Dresden; Leipzig Research Centre for Civilization Diseases (LIFE) (M.L.S., M.G., A.V.), Clinic for Cognitive Neurology (M.L.S., A.V.), and Collaborative Research Centre 1052 'Obesity Mechanisms,' Subproject A1, Faculty of Medicine (F.B., A.V.W., A.V.), University of Leipzig, Germany; Department of Psychology (H.O.-S.), University of Haifa, Israel; and Center for Stroke Research Berlin (A.V.), Charité-Universitätsmedizin Berlin, Germany
| | - Josefin Roebbig
- From the Department of Neurology (H.L.S., S.K.M., F.B., D.K., M.U., J.D.R., A.M.F.R., L.L., A.B., M.E., J.R., M.L.S., A.V.W., M.G., A.V.), Max Planck Research Group for Neuroanatomy & Connectivity (N.M., D.S.M.), and Nuclear Magnetic Resonance Group (K.M.), Max Planck Institute for Human Cognitive and Brain Sciences; International Max Planck Research School NeuroCom (H.L.S., M.U.), Leipzig; MindBrainBody Institute at Berlin School of Mind and Brain (D.K., A.B., M.E., M.G., A.V.), Charité & Humboldt Universität zu Berlin; Lifespan Developmental Neuroscience (A.M.F.R.), Technische Universität Dresden; Leipzig Research Centre for Civilization Diseases (LIFE) (M.L.S., M.G., A.V.), Clinic for Cognitive Neurology (M.L.S., A.V.), and Collaborative Research Centre 1052 'Obesity Mechanisms,' Subproject A1, Faculty of Medicine (F.B., A.V.W., A.V.), University of Leipzig, Germany; Department of Psychology (H.O.-S.), University of Haifa, Israel; and Center for Stroke Research Berlin (A.V.), Charité-Universitätsmedizin Berlin, Germany
| | - Matthias L Schroeter
- From the Department of Neurology (H.L.S., S.K.M., F.B., D.K., M.U., J.D.R., A.M.F.R., L.L., A.B., M.E., J.R., M.L.S., A.V.W., M.G., A.V.), Max Planck Research Group for Neuroanatomy & Connectivity (N.M., D.S.M.), and Nuclear Magnetic Resonance Group (K.M.), Max Planck Institute for Human Cognitive and Brain Sciences; International Max Planck Research School NeuroCom (H.L.S., M.U.), Leipzig; MindBrainBody Institute at Berlin School of Mind and Brain (D.K., A.B., M.E., M.G., A.V.), Charité & Humboldt Universität zu Berlin; Lifespan Developmental Neuroscience (A.M.F.R.), Technische Universität Dresden; Leipzig Research Centre for Civilization Diseases (LIFE) (M.L.S., M.G., A.V.), Clinic for Cognitive Neurology (M.L.S., A.V.), and Collaborative Research Centre 1052 'Obesity Mechanisms,' Subproject A1, Faculty of Medicine (F.B., A.V.W., A.V.), University of Leipzig, Germany; Department of Psychology (H.O.-S.), University of Haifa, Israel; and Center for Stroke Research Berlin (A.V.), Charité-Universitätsmedizin Berlin, Germany
| | - Hadas Okon-Singer
- From the Department of Neurology (H.L.S., S.K.M., F.B., D.K., M.U., J.D.R., A.M.F.R., L.L., A.B., M.E., J.R., M.L.S., A.V.W., M.G., A.V.), Max Planck Research Group for Neuroanatomy & Connectivity (N.M., D.S.M.), and Nuclear Magnetic Resonance Group (K.M.), Max Planck Institute for Human Cognitive and Brain Sciences; International Max Planck Research School NeuroCom (H.L.S., M.U.), Leipzig; MindBrainBody Institute at Berlin School of Mind and Brain (D.K., A.B., M.E., M.G., A.V.), Charité & Humboldt Universität zu Berlin; Lifespan Developmental Neuroscience (A.M.F.R.), Technische Universität Dresden; Leipzig Research Centre for Civilization Diseases (LIFE) (M.L.S., M.G., A.V.), Clinic for Cognitive Neurology (M.L.S., A.V.), and Collaborative Research Centre 1052 'Obesity Mechanisms,' Subproject A1, Faculty of Medicine (F.B., A.V.W., A.V.), University of Leipzig, Germany; Department of Psychology (H.O.-S.), University of Haifa, Israel; and Center for Stroke Research Berlin (A.V.), Charité-Universitätsmedizin Berlin, Germany
| | - Karsten Müller
- From the Department of Neurology (H.L.S., S.K.M., F.B., D.K., M.U., J.D.R., A.M.F.R., L.L., A.B., M.E., J.R., M.L.S., A.V.W., M.G., A.V.), Max Planck Research Group for Neuroanatomy & Connectivity (N.M., D.S.M.), and Nuclear Magnetic Resonance Group (K.M.), Max Planck Institute for Human Cognitive and Brain Sciences; International Max Planck Research School NeuroCom (H.L.S., M.U.), Leipzig; MindBrainBody Institute at Berlin School of Mind and Brain (D.K., A.B., M.E., M.G., A.V.), Charité & Humboldt Universität zu Berlin; Lifespan Developmental Neuroscience (A.M.F.R.), Technische Universität Dresden; Leipzig Research Centre for Civilization Diseases (LIFE) (M.L.S., M.G., A.V.), Clinic for Cognitive Neurology (M.L.S., A.V.), and Collaborative Research Centre 1052 'Obesity Mechanisms,' Subproject A1, Faculty of Medicine (F.B., A.V.W., A.V.), University of Leipzig, Germany; Department of Psychology (H.O.-S.), University of Haifa, Israel; and Center for Stroke Research Berlin (A.V.), Charité-Universitätsmedizin Berlin, Germany
| | - Natacha Mendes
- From the Department of Neurology (H.L.S., S.K.M., F.B., D.K., M.U., J.D.R., A.M.F.R., L.L., A.B., M.E., J.R., M.L.S., A.V.W., M.G., A.V.), Max Planck Research Group for Neuroanatomy & Connectivity (N.M., D.S.M.), and Nuclear Magnetic Resonance Group (K.M.), Max Planck Institute for Human Cognitive and Brain Sciences; International Max Planck Research School NeuroCom (H.L.S., M.U.), Leipzig; MindBrainBody Institute at Berlin School of Mind and Brain (D.K., A.B., M.E., M.G., A.V.), Charité & Humboldt Universität zu Berlin; Lifespan Developmental Neuroscience (A.M.F.R.), Technische Universität Dresden; Leipzig Research Centre for Civilization Diseases (LIFE) (M.L.S., M.G., A.V.), Clinic for Cognitive Neurology (M.L.S., A.V.), and Collaborative Research Centre 1052 'Obesity Mechanisms,' Subproject A1, Faculty of Medicine (F.B., A.V.W., A.V.), University of Leipzig, Germany; Department of Psychology (H.O.-S.), University of Haifa, Israel; and Center for Stroke Research Berlin (A.V.), Charité-Universitätsmedizin Berlin, Germany
| | - Daniel S Margulies
- From the Department of Neurology (H.L.S., S.K.M., F.B., D.K., M.U., J.D.R., A.M.F.R., L.L., A.B., M.E., J.R., M.L.S., A.V.W., M.G., A.V.), Max Planck Research Group for Neuroanatomy & Connectivity (N.M., D.S.M.), and Nuclear Magnetic Resonance Group (K.M.), Max Planck Institute for Human Cognitive and Brain Sciences; International Max Planck Research School NeuroCom (H.L.S., M.U.), Leipzig; MindBrainBody Institute at Berlin School of Mind and Brain (D.K., A.B., M.E., M.G., A.V.), Charité & Humboldt Universität zu Berlin; Lifespan Developmental Neuroscience (A.M.F.R.), Technische Universität Dresden; Leipzig Research Centre for Civilization Diseases (LIFE) (M.L.S., M.G., A.V.), Clinic for Cognitive Neurology (M.L.S., A.V.), and Collaborative Research Centre 1052 'Obesity Mechanisms,' Subproject A1, Faculty of Medicine (F.B., A.V.W., A.V.), University of Leipzig, Germany; Department of Psychology (H.O.-S.), University of Haifa, Israel; and Center for Stroke Research Berlin (A.V.), Charité-Universitätsmedizin Berlin, Germany
| | - A Veronica Witte
- From the Department of Neurology (H.L.S., S.K.M., F.B., D.K., M.U., J.D.R., A.M.F.R., L.L., A.B., M.E., J.R., M.L.S., A.V.W., M.G., A.V.), Max Planck Research Group for Neuroanatomy & Connectivity (N.M., D.S.M.), and Nuclear Magnetic Resonance Group (K.M.), Max Planck Institute for Human Cognitive and Brain Sciences; International Max Planck Research School NeuroCom (H.L.S., M.U.), Leipzig; MindBrainBody Institute at Berlin School of Mind and Brain (D.K., A.B., M.E., M.G., A.V.), Charité & Humboldt Universität zu Berlin; Lifespan Developmental Neuroscience (A.M.F.R.), Technische Universität Dresden; Leipzig Research Centre for Civilization Diseases (LIFE) (M.L.S., M.G., A.V.), Clinic for Cognitive Neurology (M.L.S., A.V.), and Collaborative Research Centre 1052 'Obesity Mechanisms,' Subproject A1, Faculty of Medicine (F.B., A.V.W., A.V.), University of Leipzig, Germany; Department of Psychology (H.O.-S.), University of Haifa, Israel; and Center for Stroke Research Berlin (A.V.), Charité-Universitätsmedizin Berlin, Germany
| | - Michael Gaebler
- From the Department of Neurology (H.L.S., S.K.M., F.B., D.K., M.U., J.D.R., A.M.F.R., L.L., A.B., M.E., J.R., M.L.S., A.V.W., M.G., A.V.), Max Planck Research Group for Neuroanatomy & Connectivity (N.M., D.S.M.), and Nuclear Magnetic Resonance Group (K.M.), Max Planck Institute for Human Cognitive and Brain Sciences; International Max Planck Research School NeuroCom (H.L.S., M.U.), Leipzig; MindBrainBody Institute at Berlin School of Mind and Brain (D.K., A.B., M.E., M.G., A.V.), Charité & Humboldt Universität zu Berlin; Lifespan Developmental Neuroscience (A.M.F.R.), Technische Universität Dresden; Leipzig Research Centre for Civilization Diseases (LIFE) (M.L.S., M.G., A.V.), Clinic for Cognitive Neurology (M.L.S., A.V.), and Collaborative Research Centre 1052 'Obesity Mechanisms,' Subproject A1, Faculty of Medicine (F.B., A.V.W., A.V.), University of Leipzig, Germany; Department of Psychology (H.O.-S.), University of Haifa, Israel; and Center for Stroke Research Berlin (A.V.), Charité-Universitätsmedizin Berlin, Germany
| | - Arno Villringer
- From the Department of Neurology (H.L.S., S.K.M., F.B., D.K., M.U., J.D.R., A.M.F.R., L.L., A.B., M.E., J.R., M.L.S., A.V.W., M.G., A.V.), Max Planck Research Group for Neuroanatomy & Connectivity (N.M., D.S.M.), and Nuclear Magnetic Resonance Group (K.M.), Max Planck Institute for Human Cognitive and Brain Sciences; International Max Planck Research School NeuroCom (H.L.S., M.U.), Leipzig; MindBrainBody Institute at Berlin School of Mind and Brain (D.K., A.B., M.E., M.G., A.V.), Charité & Humboldt Universität zu Berlin; Lifespan Developmental Neuroscience (A.M.F.R.), Technische Universität Dresden; Leipzig Research Centre for Civilization Diseases (LIFE) (M.L.S., M.G., A.V.), Clinic for Cognitive Neurology (M.L.S., A.V.), and Collaborative Research Centre 1052 'Obesity Mechanisms,' Subproject A1, Faculty of Medicine (F.B., A.V.W., A.V.), University of Leipzig, Germany; Department of Psychology (H.O.-S.), University of Haifa, Israel; and Center for Stroke Research Berlin (A.V.), Charité-Universitätsmedizin Berlin, Germany
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Chung CP, Chou KH, Peng LN, Liu LK, Lee WJ, Chen LK, Lin CP, Wang PN. Associations between low circulatory low-density lipoprotein cholesterol level and brain health in non-stroke non-demented subjects. Neuroimage 2018; 181:627-634. [DOI: 10.1016/j.neuroimage.2018.07.049] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Revised: 06/27/2018] [Accepted: 07/20/2018] [Indexed: 01/24/2023] Open
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Spangaro M, Mazza E, Poletti S, Cavallaro R, Benedetti F. Obesity influences white matter integrity in schizophrenia. Psychoneuroendocrinology 2018; 97:135-142. [PMID: 30025224 DOI: 10.1016/j.psyneuen.2018.07.017] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2018] [Revised: 07/09/2018] [Accepted: 07/10/2018] [Indexed: 01/05/2023]
Abstract
BACKGROUND White matter (WM) alterations have been consistently described in patients with schizophrenia and correlated with the severity of psychotic symptoms and cognitive impairment. Obesity has been reported in over 40% of patients with schizophrenia and has been associated with cognitive deficits, cardiovascular diseases, metabolic alterations, and overall mortality. Moreover, studies among healthy subjects and subjects at risk for psychosis reported an influence of Body Mass Index (BMI) on structural connectivity. We therefore hypothesized that obesity and overweight could further disrupt WM integrity of patients affected by schizophrenia. METHODS Eighty-eight schizophrenia patients were evaluated for BMI. We divided the sample in overweight/obese and normal weight groups. We then performed whole brain tract-based spatial statistics in the WM skeleton with threshold-free cluster enhancement of DTI measures of WM microstructure: axial (AD), radial (RD), and mean diffusivity (MD), and fractional anisotropy (FA). RESULTS A significant difference between the two groups was observed: normal weight patients showed higher AD and a higher FA trend compared to obese patients in several fibers' tracts including longitudinal fasciculus, uncinate fasciculus, corona radiata, thalamic radiation, fronto-occipital fasciculus, cingulum and corpus callosum. CONCLUSIONS Elevated BMI might contribute to WM disruption of schizophrenia by hampering structural connectivity in critical cortico-limbic networks, known to play a crucial role in neurocognitive functioning, emotional processing and psychopathology whose dysfunction are prominent features of the disorder.
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Affiliation(s)
- Marco Spangaro
- IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Milan, Italy
| | - Elena Mazza
- IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Milan, Italy.
| | - Sara Poletti
- University Vita-Salute San Raffaele, Milan, Italy; C.E.R.M.A.C. (Centro di Eccellenza Risonanza Magnetica ad Alto Campo), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Roberto Cavallaro
- IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Milan, Italy; University Vita-Salute San Raffaele, Milan, Italy
| | - Francesco Benedetti
- University Vita-Salute San Raffaele, Milan, Italy; C.E.R.M.A.C. (Centro di Eccellenza Risonanza Magnetica ad Alto Campo), IRCCS San Raffaele Scientific Institute, Milan, Italy
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Examining the relationship between nutrition and cerebral structural integrity in older adults without dementia. Nutr Res Rev 2018; 32:79-98. [PMID: 30378509 DOI: 10.1017/s0954422418000185] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
The proportion of adults aged 60 years and over is expected to increase over the coming decades. This ageing of the population represents an important health issue, given that marked reductions to cerebral macro- and microstructural integrity are apparent with increasing age. Reduced cerebral structural integrity in older adults appears to predict poorer cognitive performance, even in the absence of clinical disorders such as dementia. As such, it is becoming increasingly important to identify those factors predicting cerebral structural integrity, especially factors that are modifiable. One such factor is nutritional intake. While the literature is limited, data from available cross-sectional studies indicate that increased intake of nutrients such as B vitamins (for example, B6, B12 and folate), choline, n-3 fatty acids and vitamin D, or increased adherence to prudent whole diets (for example, the Mediterranean diet) predicts greater cerebral structural integrity in older adults. There is even greater scarcity of randomised clinical trials investigating the effects of nutritional supplementation on cerebral structure, though it appears that supplementation with B vitamins (B6, B12 and folic acid) or n-3 fatty acids (DHA or EPA) may be beneficial. The current review presents an overview of available research examining the relationship between key nutrients or adherence to select diets and cerebral structural integrity in dementia-free older adults.
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Rast P, Kennedy KM, Rodrigue KM, Robinson PRAW, Gross AL, McLaren DG, Grabowski T, Schaie KW, Willis SL. APOEε4 Genotype and Hypertension Modify 8-year Cortical Thinning: Five Occasion Evidence from the Seattle Longitudinal Study. Cereb Cortex 2018; 28:1934-1945. [PMID: 28444388 PMCID: PMC6019039 DOI: 10.1093/cercor/bhx099] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2017] [Revised: 03/30/2017] [Accepted: 04/04/2017] [Indexed: 01/08/2023] Open
Abstract
We investigated individual differences in longitudinal trajectories of brain aging in cognitively normal healthy adults from the Seattle Longitudinal Study covering 8 years of longitudinal change (across 5 occasions) in cortical thickness in 249 midlife and older adults (52-95 years old). We aimed to understand true brain change; examine the influence of salient risk factors that modify an individual's rate of cortical thinning; and compare cross-sectional age-related differences in cortical thickness to longitudinal within-person cortical thinning. We used Multivariate Multilevel Modeling to simultaneously model dependencies among 5 lobar composites (Frontal, Parietal, Temporal, Occipital, and Cingulate [CING]) and account for the longitudinal nature of the data. Results indicate (1) all 5 lobar composites significantly atrophied across 8 years, showing nonlinear longitudinal rate of cortical thinning decelerated over time, (2) longitudinal thinning was significantly altered by hypertension and Apolipoprotein-E ε4 (APOEε4), varying by location: Frontal and CING thinned more rapidly in APOEε4 carriers. Notably, thinning of parietal and occipital cortex showed synergistic effect of combined risk factors, where individuals who were both APOEε4 carriers and hypertensive had significantly greater 8-year thinning than those with either risk factor alone or neither risk factor, (3) longitudinal thinning was 3 times greater than cross-sectional estimates of age-related differences in thickness in parietal and occipital cortices.
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Affiliation(s)
- Philippe Rast
- Department of Psychology, University of California, Davis, 1 Shields Avenue, Davis, CA 95616, USA
| | - Kristen M Kennedy
- School of Behavioral and Brain Sciences, Center for Vital Longevity, The University of Texas at Dallas, 1600 Viceroy Drive, Suite 800, Dallas, TX 75235, USA
| | - Karen M Rodrigue
- School of Behavioral and Brain Sciences, Center for Vital Longevity, The University of Texas at Dallas, 1600 Viceroy Drive, Suite 800, Dallas, TX 75235, USA
| | - Paul R A W Robinson
- Department of Radiology, Integrated Brain Imaging Center (IBIC), University of Washington, 1959 NE Pacific St, Seattle, WA 98195, USA
| | - Alden L Gross
- Department of Epidemiology, Johns Hopkins Bloomberg, School of Public Health, Baltimore, MD, USA
| | | | - Tom Grabowski
- Department of Radiology, Integrated Brain Imaging Center (IBIC), University of Washington, 1959 NE Pacific St, Seattle, WA 98195, USA
| | - K Warner Schaie
- Department of Radiology, Integrated Brain Imaging Center (IBIC), University of Washington, 1959 NE Pacific St, Seattle, WA 98195, USA
- Seattle Longitudinal Study, Department of Psychiatry and Behavioral Sciences, University of Washington, 2500 Sixth Ave N., Seattle, WA, USA
| | - Sherry L Willis
- Department of Radiology, Integrated Brain Imaging Center (IBIC), University of Washington, 1959 NE Pacific St, Seattle, WA 98195, USA
- Seattle Longitudinal Study, Department of Psychiatry and Behavioral Sciences, University of Washington, 2500 Sixth Ave N., Seattle, WA, USA
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Haley AP, Oleson S, Pasha E, Birdsill A, Kaur S, Thompson J, Tanaka H. Phenotypic heterogeneity of obesity-related brain vulnerability: one-size interventions will not fit all. Ann N Y Acad Sci 2018; 1428:89-102. [PMID: 29741211 DOI: 10.1111/nyas.13673] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Revised: 02/10/2018] [Accepted: 02/17/2018] [Indexed: 01/07/2023]
Abstract
Intact memory and problem solving are key to functional independence and quality of life in older age. Considering the unprecedented demographic shift toward a greater number of older adults than children in the United States in the next few decades, it is critically important for older adults to maintain work productivity and functional independence for as long as possible. Implementing early interventions focused on modifiable risk factors for cognitive decline at midlife is a strategy with the highest chance of success at present, bearing in mind the current lack of dementia cures. We present a selective, narrative review of evidence linking nutrition, body composition, vascular health, and brain function in midlife to highlight the phenotypic heterogeneity of obesity-related brain vulnerability and to endorse the development of individually tailored lifestyle modification plans for primary prevention of cognitive decline.
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Affiliation(s)
- Andreana P Haley
- Department of Psychology, The University of Texas at Austin, Austin, Texas.,Imaging Research Center, The University of Texas at Austin, Austin, Texas
| | - Stephanie Oleson
- Department of Psychology, The University of Texas at Austin, Austin, Texas
| | - Evan Pasha
- Department of Kinesiology and Health Education, The University of Texas at Austin, Austin, Texas
| | - Alex Birdsill
- Department of Psychology, The University of Texas at Austin, Austin, Texas
| | - Sonya Kaur
- Department of Psychology, The University of Texas at Austin, Austin, Texas
| | - Janelle Thompson
- Department of Psychology, The University of Texas at Austin, Austin, Texas
| | - Hirofumi Tanaka
- Department of Kinesiology and Health Education, The University of Texas at Austin, Austin, Texas
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Li C, Li C, Yang Q, Wang B, Yin X, Zuo Z, Hu X, Lai Y, Wang J. Cortical thickness contributes to cognitive heterogeneity in patients with type 2 diabetes mellitus. Medicine (Baltimore) 2018; 97:e10858. [PMID: 29794784 PMCID: PMC6392513 DOI: 10.1097/md.0000000000010858] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
The aim of this study was to investigate cerebral cortical thickness alterations in patients with type 2 diabetes mellitus (T2DM) and their association with mild cognitive impairment (MCI).Thirty T2DM patients without MCI, 30 T2DM patients with MCI, and 30 healthy controls were recruited. All subjects underwent high-resolution sagittal T1-weighted structural imaging using a 3-dimensional magnetization prepared rapid acquisition gradient echo (MPRAGE) sequence. The cortical thicknesses of the whole brain of the 3 groups were analyzed and compared using analysis of variance (ANOVA) test. Partial correlations between the cortical thicknesses of each brain region and standard laboratory testing data were analyzed for the T2DM without MCI group. The associations between cortical thicknesses and neuropsychological scale scores were also analyzed in the T2DM with MCI group.Compared with the healthy controls, the T2DM without MCI group showed statistically significant reduction in the cortical thickness of the left posterior cingulate gyrus, right isthmus cingulate gyrus, middle temporal gyrus, paracentral lobule, and transverse temporal gyrus. No significant correlation was found between the standard laboratory testing data and the cortical thicknesses of these cerebral regions. Compared with the T2DM without MCI group, the cortical thickness alterations in the T2DM with MCI group were bidirectional. Increased cortical thickness was found in the left parahippocampal gyrus and the right isthmus cingulate gyrus. Decreased cortical thickness was observed in the left pars triangularis and the right pars opercularis. Significant correlations were found between the cortical thickness of the right pars opercularis and the Complex Figure Test-delayed recall scores (r = 0.464, ρ = 0.015), Trail Making Test A consuming time (r = -0.454, ρ = 0.017), and Montreal Cognitive Assessment scores (r = 0.51, ρ = 0.007).T2DM could influence the gray matter of several brain regions. The cortical thickness reduction of the right pars opercularis may be a biomarker of cognitive impairment and play an important role in its pathophysiological mechanism.
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Affiliation(s)
- Chang Li
- Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing
| | - Chuanming Li
- Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing
| | - Qifang Yang
- Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing
| | - Bin Wang
- Department of Internal Medicine, The Second Outpatient Department of Chengdu Army Region Authority, Chengdu
| | - Xuntao Yin
- Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing
| | - Zhiwei Zuo
- Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing
| | - Xiaofei Hu
- Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing
| | - Yuqi Lai
- School of Foreign Languages and Cultures, Chongqing University, Chongqing, China
| | - Jian Wang
- Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing
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Knopman DS, Lundt ES, Therneau TM, Vemuri P, Lowe VJ, Kantarci K, Gunter JL, Senjem ML, Mielke MM, Machulda MM, Roberts RO, Boeve BF, Jones DT, Petersen RC, Jack CR. Joint associations of β-amyloidosis and cortical thickness with cognition. Neurobiol Aging 2018; 65:121-131. [PMID: 29471214 PMCID: PMC5871603 DOI: 10.1016/j.neurobiolaging.2018.01.017] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2017] [Revised: 01/12/2018] [Accepted: 01/22/2018] [Indexed: 01/24/2023]
Abstract
In 1164 cognitively unimpaired persons, aged 50-95 years, from the population-based Mayo Clinic Study of Aging, we examined the relationships of baseline cognition and cognitive changes across the full range of cortical thickness of an Alzheimer signature region of interest and global β-amyloid levels measured by Pittsburgh compound B positron emission tomography (PIB PET) standardized uptake value ratio (SUVR). In machine-learning models accounting for both biomarkers simultaneously, worsening biomarker values were additive and associated with lower baseline global cognition and greater subsequent decline in global cognition. Associations between Alzheimer's disease signature cortical thickness or PIB PET β-amyloid SUVR and baseline cognition were mainly linear. Lower Alzheimer's disease signature cortical thickness values across the entire range of thickness predicted future decline in global cognitive scores, demonstrating its close relationship to cognitive functioning. PIB PET β-amyloid SUVR also predicted cognitive decline across its full range, even when cortical thickness was accounted for. PIB PET β-amyloid's relationship to cognitive decline was nonlinear, more prominent at lower β-amyloid levels and less prominent at higher β-amyloid levels.
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Affiliation(s)
- David S Knopman
- Department of Neurology, Mayo Clinic and Foundation, Rochester, MN, USA; Mayo Clinic Alzheimer's Disease Research Center, Mayo Clinic and Foundation, Rochester, MN, USA.
| | - Emily S Lundt
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic and Foundation, Rochester, MN, USA
| | - Terry M Therneau
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic and Foundation, Rochester, MN, USA
| | - Prashanthi Vemuri
- Mayo Clinic Alzheimer's Disease Research Center, Mayo Clinic and Foundation, Rochester, MN, USA; Department of Radiology, Mayo Clinic and Foundation, Rochester, MN, USA
| | - Val J Lowe
- Mayo Clinic Alzheimer's Disease Research Center, Mayo Clinic and Foundation, Rochester, MN, USA; Department of Radiology, Mayo Clinic and Foundation, Rochester, MN, USA
| | - Kejal Kantarci
- Mayo Clinic Alzheimer's Disease Research Center, Mayo Clinic and Foundation, Rochester, MN, USA; Department of Radiology, Mayo Clinic and Foundation, Rochester, MN, USA
| | - Jeffrey L Gunter
- Department of Radiology, Mayo Clinic and Foundation, Rochester, MN, USA; Department of Information Technology, Mayo Clinic and Foundation, Rochester, MN, USA
| | - Matthew L Senjem
- Department of Radiology, Mayo Clinic and Foundation, Rochester, MN, USA; Department of Information Technology, Mayo Clinic and Foundation, Rochester, MN, USA
| | - Michelle M Mielke
- Department of Neurology, Mayo Clinic and Foundation, Rochester, MN, USA; Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic and Foundation, Rochester, MN, USA
| | - Mary M Machulda
- Mayo Clinic Alzheimer's Disease Research Center, Mayo Clinic and Foundation, Rochester, MN, USA; Division of Psychology, Department of Psychiatry, Mayo Clinic and Foundation, Rochester, MN, USA
| | - Rosebud O Roberts
- Department of Neurology, Mayo Clinic and Foundation, Rochester, MN, USA; Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic and Foundation, Rochester, MN, USA
| | - Bradley F Boeve
- Department of Neurology, Mayo Clinic and Foundation, Rochester, MN, USA; Mayo Clinic Alzheimer's Disease Research Center, Mayo Clinic and Foundation, Rochester, MN, USA
| | - David T Jones
- Department of Neurology, Mayo Clinic and Foundation, Rochester, MN, USA; Mayo Clinic Alzheimer's Disease Research Center, Mayo Clinic and Foundation, Rochester, MN, USA; Department of Radiology, Mayo Clinic and Foundation, Rochester, MN, USA
| | - Ronald C Petersen
- Department of Neurology, Mayo Clinic and Foundation, Rochester, MN, USA; Mayo Clinic Alzheimer's Disease Research Center, Mayo Clinic and Foundation, Rochester, MN, USA; Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic and Foundation, Rochester, MN, USA
| | - Clifford R Jack
- Mayo Clinic Alzheimer's Disease Research Center, Mayo Clinic and Foundation, Rochester, MN, USA; Department of Radiology, Mayo Clinic and Foundation, Rochester, MN, USA
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Kolenic M, Franke K, Hlinka J, Matejka M, Capkova J, Pausova Z, Uher R, Alda M, Spaniel F, Hajek T. Obesity, dyslipidemia and brain age in first-episode psychosis. J Psychiatr Res 2018; 99:151-158. [PMID: 29454222 DOI: 10.1016/j.jpsychires.2018.02.012] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2017] [Revised: 02/06/2018] [Accepted: 02/09/2018] [Indexed: 12/31/2022]
Abstract
INTRODUCTION Obesity and dyslipidemia may negatively affect brain health and are frequent medical comorbidities of schizophrenia and related disorders. Despite the high burden of metabolic disorders, little is known about their effects on brain structure in psychosis. We investigated, whether obesity or dyslipidemia contributed to brain alterations in first-episode psychosis (FEP). METHODS 120 participants with FEP, who were undergoing their first psychiatric hospitalization, had <24 months of untreated psychosis and were 18-35 years old and 114 controls within the same age range participated in the study. We acquired 3T brain structural MRI, fasting lipids and body mass index. We used machine learning trained on an independent sample of 504 controls to estimate the individual brain age of study participants and calculated the BrainAGE score by subtracting the chronological from the estimated brain age. RESULTS In a multiple regression model, the diagnosis of FEP (B = 1.15, SE B = 0.31, p < 0.001) and obesity/overweight (B = 0.92, SE B = 0.35, p = 0.008) were each additively associated with BrainAGE scores (R2 = 0.22, F(3, 230) = 21.92, p < 0.001). BrainAGE scores were highest in participants with FEP and obesity/overweight (3.83 years, 95%CI = 2.35-5.31) and lowest in normal weight controls (-0.27 years, 95%CI = -1.22-0.69). LDL-cholesterol, HDL-cholesterol or triglycerides were not associated with BrainAGE scores. CONCLUSIONS Overweight/obesity may be an independent risk factor for diffuse brain alterations manifesting as advanced brain age already early in the course of psychosis. These findings raise the possibility that targeting metabolic health and intervening already at the level of overweight/obesity could slow brain ageing in FEP.
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Affiliation(s)
- Marian Kolenic
- National Institute of Mental Health, Topolová 748, 250 67, Klecany, Czech Republic; 3rd School of Medicine, Charles University, Ruská 87, 100 00, Prague, Czech Republic
| | - Katja Franke
- Structural Brain Mapping Group, Department of Neurology, Jena University Hospital, Erlanger Alle 101, D - 07747, Jena, Germany
| | - Jaroslav Hlinka
- National Institute of Mental Health, Topolová 748, 250 67, Klecany, Czech Republic; Institute of Computer Science, Czech Academy of Sciences, Pod Vodarenskou Vezi 271/2, 182 07, Prague, Czech Republic
| | - Martin Matejka
- 3rd School of Medicine, Charles University, Ruská 87, 100 00, Prague, Czech Republic; Psychiatric Hospital Bohnice, Ústavní 91, 181 00, Prague, Czech Republic; Psychiatric Hospital Kosmonosy, Lípy 15, 293 06, Kosmonosy, Czech Republic
| | - Jana Capkova
- National Institute of Mental Health, Topolová 748, 250 67, Klecany, Czech Republic; 3rd School of Medicine, Charles University, Ruská 87, 100 00, Prague, Czech Republic
| | - Zdenka Pausova
- The Hospital for Sick Children, University of Toronto, 686 Bay Street, 10-9705, Toronto, ON M5G 0A4, Canada
| | - Rudolf Uher
- Dalhousie University, Department of Psychiatry, 5909, Veteran's Memorial Lane, Halifax, NS B3H 2E2, Canada
| | - Martin Alda
- National Institute of Mental Health, Topolová 748, 250 67, Klecany, Czech Republic; Dalhousie University, Department of Psychiatry, 5909, Veteran's Memorial Lane, Halifax, NS B3H 2E2, Canada
| | - Filip Spaniel
- National Institute of Mental Health, Topolová 748, 250 67, Klecany, Czech Republic
| | - Tomas Hajek
- National Institute of Mental Health, Topolová 748, 250 67, Klecany, Czech Republic; Dalhousie University, Department of Psychiatry, 5909, Veteran's Memorial Lane, Halifax, NS B3H 2E2, Canada.
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44
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Reddan JM, White DJ, Macpherson H, Scholey A, Pipingas A. Glycerophospholipid Supplementation as a Potential Intervention for Supporting Cerebral Structure in Older Adults. Front Aging Neurosci 2018; 10:49. [PMID: 29563868 PMCID: PMC5845902 DOI: 10.3389/fnagi.2018.00049] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2017] [Accepted: 02/15/2018] [Indexed: 01/13/2023] Open
Abstract
Modifying nutritional intake through supplementation may be efficacious for altering the trajectory of cerebral structural decline evident with increasing age. To date, there have been a number of clinical trials in older adults whereby chronic supplementation with B vitamins, omega-3 fatty acids, or resveratrol, has been observed to either slow the rate of decline or repair cerebral tissue. There is also some evidence from animal studies indicating that supplementation with glycerophospholipids (GPL) may benefit cerebral structure, though these effects have not yet been investigated in adult humans. Despite this paucity of research, there are a number of factors predicting poorer cerebral structure in older humans, which GPL supplementation appears to beneficially modify or protect against. These include elevated concentrations of homocysteine, unbalanced activity of reactive oxygen species both increasing the risk of oxidative stress, increased concentrations of pro-inflammatory messengers, as well as poorer cardio- and cerebrovascular function. As such, it is hypothesized that GPL supplementation will support cerebral structure in older adults. These cerebral effects may influence cognitive function. The current review aims to provide a theoretical basis for future clinical trials investigating the effects of GPL supplementation on cerebral structural integrity in older adults.
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Affiliation(s)
- Jeffery M Reddan
- Centre for Human Psychopharmacology, Swinburne University of Technology, Melbourne, VIC, Australia
| | - David J White
- Centre for Human Psychopharmacology, Swinburne University of Technology, Melbourne, VIC, Australia
| | - Helen Macpherson
- Institute for Physical Activity and Nutrition, Deakin University, Melbourne, VIC, Australia
| | - Andrew Scholey
- Centre for Human Psychopharmacology, Swinburne University of Technology, Melbourne, VIC, Australia
| | - Andrew Pipingas
- Centre for Human Psychopharmacology, Swinburne University of Technology, Melbourne, VIC, Australia
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45
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Kharabian Masouleh S, Beyer F, Lampe L, Loeffler M, Luck T, Riedel-Heller SG, Schroeter ML, Stumvoll M, Villringer A, Witte AV. Gray matter structural networks are associated with cardiovascular risk factors in healthy older adults. J Cereb Blood Flow Metab 2018; 38:360-372. [PMID: 28857651 PMCID: PMC5951018 DOI: 10.1177/0271678x17729111] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
While recent 'big data' analyses discovered structural brain networks that alter with age and relate to cognitive decline, identifying modifiable factors that prevent these changes remains a major challenge. We therefore aimed to determine the effects of common cardiovascular risk factors on vulnerable gray matter (GM) networks in a large and well-characterized population-based cohort. In 616 healthy elderly (258 women, 60-80 years) of the LIFE-Adult-Study, we assessed the effects of obesity, smoking, blood pressure, markers of glucose and lipid metabolism as well as physical activity on major GM-networks derived using linked independent component analysis. Age, sex, hypertension, diabetes, white matter hyperintensities, education and depression were considered as confounders. Results showed that smoking, higher blood pressure, and higher glycated hemoglobin (HbA1c) were independently associated with lower GM volume and thickness in GM-networks that covered most areas of the neocortex. Higher waist-to-hip ratio was independently associated with lower GM volume in a network of multimodal regions that correlated negatively with age and memory performance. In this large cross-sectional study, we found selective negative associations of smoking, higher blood pressure, higher glucose, and visceral obesity with structural covariance networks, suggesting that reducing these factors could help to delay late-life trajectories of GM aging.
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Affiliation(s)
| | - Frauke Beyer
- 1 Department of Neurology, Max Planck Institute for Cognitive and Brain Sciences, Leipzig, Germany
| | - Leonie Lampe
- 1 Department of Neurology, Max Planck Institute for Cognitive and Brain Sciences, Leipzig, Germany.,2 LIFE - Leipzig Research Center for Civilization Diseases, 9180 University of Leipzig , Leipzig, Germany
| | - Markus Loeffler
- 2 LIFE - Leipzig Research Center for Civilization Diseases, 9180 University of Leipzig , Leipzig, Germany.,3 Institute for Medical Informatics, Statistics, and Epidemiology (IMISE), 9180 University of Leipzig , Leipzig, Germany
| | - Tobias Luck
- 2 LIFE - Leipzig Research Center for Civilization Diseases, 9180 University of Leipzig , Leipzig, Germany.,4 Institute of Social Medicine, Occupational Health and Public Health (ISAP), Medical Faculty, 9180 University of Leipzig , Leipzig, Germany
| | - Steffi G Riedel-Heller
- 4 Institute of Social Medicine, Occupational Health and Public Health (ISAP), Medical Faculty, 9180 University of Leipzig , Leipzig, Germany
| | - Matthias L Schroeter
- 1 Department of Neurology, Max Planck Institute for Cognitive and Brain Sciences, Leipzig, Germany.,2 LIFE - Leipzig Research Center for Civilization Diseases, 9180 University of Leipzig , Leipzig, Germany.,5 Clinic for Cognitive Neurology, 9180 University of Leipzig , Leipzig, Germany
| | - Michael Stumvoll
- 6 IFB Adiposity Diseases Faculty of Medicine, 9180 University of Leipzig , Leipzig, Germany
| | - Arno Villringer
- 1 Department of Neurology, Max Planck Institute for Cognitive and Brain Sciences, Leipzig, Germany.,5 Clinic for Cognitive Neurology, 9180 University of Leipzig , Leipzig, Germany
| | - A Veronica Witte
- 1 Department of Neurology, Max Planck Institute for Cognitive and Brain Sciences, Leipzig, Germany
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46
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Saute RL, Soder RB, Alves Filho JO, Baldisserotto M, Franco AR. Increased brain cortical thickness associated with visceral fat in adolescents. Pediatr Obes 2018; 13:74-77. [PMID: 27788560 DOI: 10.1111/ijpo.12190] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2016] [Revised: 07/12/2016] [Accepted: 08/22/2016] [Indexed: 12/11/2022]
Abstract
BACKGROUND There has been a growing amount of evidence indicating that excess visceral fat is associated with alterations in brain structure and function, including brain cortical thinning in adults. OBJECTIVES This study aims to investigate the relationship between brain cortical thickness with obesity assessments, in adolescents. METHODS In this study, we measured three different obesity assessments within an adolescent population (aged 15 - 18 years): body mass index (BMI), visceral fat ratio measured with an MRI and hepatorenal gradient measured with an ultrasound. Volunteers also underwent an MRI scan to measure brain structure. RESULTS Results indicated that there was no relationship of BMI or hepatorenal gradient with brain cortical dimensions. However, there was a significant association between visceral fat ratio and an increase of cortical thickness throughout the brain. CONCLUSIONS These results suggest that visceral fat, but not BMI, is correlated with cortical thickening in adolescence.
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Affiliation(s)
- R L Saute
- PUCRS, Brain Institute (BraIns), Porto Alegre, Brazil.,PUCRS, Faculdade de Medicina, Porto Alegre, Brazil
| | - R B Soder
- PUCRS, Brain Institute (BraIns), Porto Alegre, Brazil.,PUCRS, Faculdade de Medicina, Porto Alegre, Brazil
| | - J O Alves Filho
- PUCRS, Brain Institute (BraIns), Porto Alegre, Brazil.,PUCRS, Faculdade de Engenharia, Porto Alegre, Brazil
| | - M Baldisserotto
- PUCRS, Brain Institute (BraIns), Porto Alegre, Brazil.,PUCRS, Faculdade de Medicina, Porto Alegre, Brazil
| | - A R Franco
- PUCRS, Brain Institute (BraIns), Porto Alegre, Brazil.,PUCRS, Faculdade de Medicina, Porto Alegre, Brazil.,PUCRS, Faculdade de Engenharia, Porto Alegre, Brazil
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47
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Ottino-González J, Jurado MA, García-García I, Segura B, Marqués-Iturria I, Sender-Palacios MJ, Tor E, Prats-Soteras X, Caldú X, Junqué C, Garolera M. Allostatic Load Is Linked to Cortical Thickness Changes Depending on Body-Weight Status. Front Hum Neurosci 2017; 11:639. [PMID: 29375342 PMCID: PMC5770747 DOI: 10.3389/fnhum.2017.00639] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2017] [Accepted: 12/15/2017] [Indexed: 12/11/2022] Open
Abstract
Objective: Overweight (body mass index or BMI ≥ 25 kg/m2) and stress interact with each other in complex ways. Overweight promotes chronic low-inflammation states, while stress is known to mediate caloric intake. Both conditions are linked to several avoidable health problems and to cognitive decline, brain atrophy, and dementia. Since it was proposed as a framework for the onset of mental illness, the allostatic load model has received increasing attention. Although changes in health and cognition related to overweight and stress are well-documented separately, the association between allostatic load and brain integrity has not been addressed in depth, especially among overweight subjects. Method: Thirty-four healthy overweight-to-obese and 29 lean adults underwent blood testing, neuropsychological examination, and magnetic resonance imaging to assess the relationship between cortical thickness and allostatic load, represented as an index of 15 biomarkers (this is, systolic and diastolic arterial tension, glycated hemoglobin, glucose, creatinine, total cholesterol, HDL and LDL cholesterol, triglycerides, c-reactive protein, interleukin-6, insulin, cortisol, fibrinogen, and leptin). Results: Allostatic load indexes showed widespread positive and negative significant correlations (p < 0.01) with cortical thickness values depending on body-weight status. Conclusion: The increase of allostatic load is linked to changes in the gray matter composition of regions monitoring behavior, sensory-reward processing, and general cognitive function.
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Affiliation(s)
- Jonatan Ottino-González
- Departament de Psicologia Clínica i Psicobiologia, Universitat de Barcelona, Barcelona, Spain.,Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain.,Institut de Recerca Pediàtrica Hospital Sant Joan de Déu, Barcelona, Spain
| | - María A Jurado
- Departament de Psicologia Clínica i Psicobiologia, Universitat de Barcelona, Barcelona, Spain.,Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain.,Institut de Recerca Pediàtrica Hospital Sant Joan de Déu, Barcelona, Spain
| | | | - Bàrbara Segura
- Departament de Medicina, Universitat de Barcelona, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - Idoia Marqués-Iturria
- Departament de Psicologia Clínica i Psicobiologia, Universitat de Barcelona, Barcelona, Spain
| | - María J Sender-Palacios
- CAP Terrassa Nord, Consorci Sanitari de Terrassa, Barcelona, Spain.,Brain, Cognition and Behavior Clinical Research Group, Consorci Sanitari de Terrassa, Terrassa, Spain
| | - Encarnació Tor
- CAP Terrassa Nord, Consorci Sanitari de Terrassa, Barcelona, Spain.,Brain, Cognition and Behavior Clinical Research Group, Consorci Sanitari de Terrassa, Terrassa, Spain
| | - Xavier Prats-Soteras
- Departament de Psicologia Clínica i Psicobiologia, Universitat de Barcelona, Barcelona, Spain.,Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain.,Institut de Recerca Pediàtrica Hospital Sant Joan de Déu, Barcelona, Spain
| | - Xavier Caldú
- Departament de Psicologia Clínica i Psicobiologia, Universitat de Barcelona, Barcelona, Spain.,Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain.,Institut de Recerca Pediàtrica Hospital Sant Joan de Déu, Barcelona, Spain
| | - Carme Junqué
- Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain.,Departament de Medicina, Universitat de Barcelona, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - Maite Garolera
- Brain, Cognition and Behavior Clinical Research Group, Consorci Sanitari de Terrassa, Terrassa, Spain.,Unitat de Neuropsicologia, Hospital de Terrassa, Consorci Sanitari de Terrassa, Barcelona, Spain
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48
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Qiao PG, Zuo ZW, Han C, Zhou J, Zhang HT, Duan L, Qian T, Li GJ. Cortical thickness changes in adult moyamoya disease assessed by structural magnetic resonance imaging. Clin Imaging 2017; 46:71-77. [DOI: 10.1016/j.clinimag.2017.07.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2016] [Revised: 06/29/2017] [Accepted: 07/07/2017] [Indexed: 01/09/2023]
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49
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Vemuri P, Lesnick TG, Przybelski SA, Knopman DS, Lowe VJ, Graff-Radford J, Roberts RO, Mielke MM, Machulda MM, Petersen RC, Jack CR. Age, vascular health, and Alzheimer disease biomarkers in an elderly sample. Ann Neurol 2017; 82:706-718. [PMID: 29023983 DOI: 10.1002/ana.25071] [Citation(s) in RCA: 121] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2017] [Revised: 10/05/2017] [Accepted: 10/05/2017] [Indexed: 12/31/2022]
Abstract
OBJECTIVE To investigate the associations between age, vascular health, and Alzheimer disease (AD) imaging biomarkers in an elderly sample. METHODS We identified 430 individuals along the cognitive continuum aged >60 years with amyloid positron emission tomography (PET), tau PET, and magnetic resonance imaging (MRI) scans from the population-based Mayo Clinic Study of Aging. A subset of 329 individuals had fluorodeoxyglucose (FDG) PET. We ascertained presently existing cardiovascular and metabolic conditions (CMC) from health care records and used the summation of presence/absence of hypertension, hyperlipidemia, cardiac arrhythmias, coronary artery disease, congestive heart failure, diabetes mellitus, and stroke as a surrogate for vascular health. We used global amyloid from Pittsburgh compound B PET, entorhinal cortex tau uptake (ERC-tau) from tau-PET, and neurodegeneration in AD signature regions from MRI and FDG-PET as surrogates for AD pathophysiology. We dichotomized participants into CMC = 0 (CMC- ) versus CMC > 0 (CMC+ ) and tested for age-adjusted group differences in AD biomarkers. Using structural equation models (SEMs), we assessed the impact of vascular health on AD biomarker cascade (amyloid leads to tau leads to neurodegeneration) after considering the direct and indirect age, sex, and apolipoprotein E effects. RESULTS CMC+ participants had significantly greater neurodegeneration than CMC- participants but did not differ by amyloid or ERC-tau. The SEMs showed that (1) vascular health had a significant direct and indirect impact on neurodegeneration but not on amyloid; and (2) vascular health, specifically the presence of hyperlipidemia, had a significant direct impact on ERC-tau. INTERPRETATION Vascular health had quantifiably greater impact on neurodegeneration in AD regions than on amyloid deposition. Longitudinal studies are warranted to clarify the relationship between tau deposition and vascular health. Ann Neurol 2017;82:706-718.
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Affiliation(s)
| | | | | | | | - Val J Lowe
- Department of Radiology, Mayo Clinic, Rochester, MN
| | | | | | - Michelle M Mielke
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN.,Department of Neurology, Mayo Clinic, Rochester, MN
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50
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Schwarz NF, Nordstrom LK, Pagen LHG, Palombo DJ, Salat DH, Milberg WP, McGlinchey RE, Leritz EC. Differential associations of metabolic risk factors on cortical thickness in metabolic syndrome. NEUROIMAGE-CLINICAL 2017; 17:98-108. [PMID: 29062686 PMCID: PMC5641920 DOI: 10.1016/j.nicl.2017.09.022] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Revised: 08/31/2017] [Accepted: 09/26/2017] [Indexed: 12/31/2022]
Abstract
Objective Metabolic syndrome (MetS) refers to a cluster of risk factors for cardiovascular disease, including obesity, hypertension, dyslipidemia, and hyperglycemia. While sizable prior literature has examined associations between individual risk factors and quantitative measures of cortical thickness (CT), only very limited research has investigated such measures in MetS. Furthermore, the relative contributions of these risk factors to MetS-related effects on brain morphology have not yet been studied. The primary goal of this investigation was to examine how MetS may affect CT. A secondary goal was to explore the relative contributions of individual risk factors to regional alterations in CT, with the potential to identify risk factor combinations that may underlie structural changes. Methods Eighteen participants with MetS (mean age = 59.78 years) were age-matched with 18 healthy control participants (mean age = 60.50 years). CT measures were generated from T1-weighted images and groups were contrasted using whole-brain general linear modeling. A follow-up multivariate partial least squares correlation (PLS) analysis, including the full study sample with complete risk factor measurements (N = 53), was employed to examine which risk factors account for variance in group structural differences. Results Participants with MetS demonstrated significantly reduced CT in left hemisphere inferior parietal, rostral middle frontal, and lateral occipital clusters and in a right hemisphere precentral cluster. The PLS analysis revealed that waist circumference, high-density lipoprotein cholesterol (HDL-C), triglycerides, and glucose were significant contributors to reduced CT in these clusters. In contrast, diastolic blood pressure showed a significantly positive association with CT while systolic blood pressure did not emerge as a significant contributor. Age was not associated with CT. Conclusion These results indicate that MetS can be associated with regionally specific reductions in CT. Importantly, a novel link between a risk factor profile comprising indices of obesity, hyperglycemia, dyslipidemia and diastolic BP and localized alterations in CT emerged. While the pathophysiological mechanisms underlying these associations remain incompletely understood, these findings may be relevant for future investigations of MetS and might have implications for treatment approaches that focus on specific risk factor profiles with the aim to reduce negative consequences on the structural integrity of the brain. Cortical thickness is reduced bilaterally in metabolic syndrome. Five out of six risk factor components contribute to altered cortical thickness. Particular risk factor combination may be an important target for intervention.
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Affiliation(s)
- Nicolette F Schwarz
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), Veterans Administration Boston Healthcare System, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Leslie K Nordstrom
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), Veterans Administration Boston Healthcare System, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Linda H G Pagen
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), Veterans Administration Boston Healthcare System, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Daniela J Palombo
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), Veterans Administration Boston Healthcare System, Boston, MA, USA; Boston University School of Medicine, Boston, MA, USA
| | - David H Salat
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), Veterans Administration Boston Healthcare System, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; The Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, USA
| | - William P Milberg
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), Veterans Administration Boston Healthcare System, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Regina E McGlinchey
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), Veterans Administration Boston Healthcare System, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Elizabeth C Leritz
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), Veterans Administration Boston Healthcare System, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
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