1
|
Cakir H, Sunar M, Aydın S, Cakir OK, Gursoy E. Structural Brain Alterations in Metabolic Syndrome: A Comprehensive MRI Volumetric Analysis of Subcortical and Associated Structures. Metab Syndr Relat Disord 2024. [PMID: 38885149 DOI: 10.1089/met.2024.0048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/20/2024] Open
Abstract
Objective: This study aims to elucidate the comprehensive effects of metabolic syndrome (MetS) on the structural integrity of subcortical brain regions and associated structures through high-resolution magnetic resonance imaging (MRI) volumetric analysis, thereby contributing to a deeper understanding of the neuroanatomical dimensions of MetS and its potential implications for cognitive functions and overall brain health. Methods: A cross-sectional design was implemented, involving 25 individuals diagnosed with MetS for at least one year and a healthy control group of 15 individuals at a tertiary hospital's family medicine clinic in Eastern Turkey. Participants underwent a high-resolution MRI scan using a 1.5T Siemens Aera scanner. The MRICloud platform was employed for comprehensive segmentation and quantitative analysis of various brain structures. Results: The study revealed significant volumetric reductions in all measured subcortical brain regions among individuals with MetS compared to the control group (all P < 0.05). Notable differences were observed in key structures such as the substantia nigra, corpus callosum, and thalamus. In subcortical structures, the largest volumetric differences were noted in the basal ganglia L (1322.4 mm³), while the most significant percentage differences were seen in the substantia nigra R (25.24%) and caudate nucleus L (21.02%). Conclusion: The findings from this study underscore the significant neuroanatomical changes associated with MetS, manifesting as volumetric reductions in critical subcortical brain areas. These alterations underscore the necessity for further research into the comprehensive influence of MetS on cognitive processes and the potential for early therapeutic interventions.
Collapse
Affiliation(s)
- Hatice Cakir
- Department of Anatomy, Faculty of Medicine, Erzincan Binali Yildirim University, Erzincan, Turkey
| | - Mukadder Sunar
- Department of Anatomy, Faculty of Medicine, Erzincan Binali Yildirim University, Erzincan, Turkey
| | - Sonay Aydın
- Department Of Radiology, Faculty of Medicine, Erzincan Binali Yildirim University, Erzincan, Turkey
| | - Osman Kagan Cakir
- Department of Family Medicine, Faculty of Medicine, Erzincan Binali Yildirim University, Erzincan, Turkey
| | - Ersan Gursoy
- Department of Family Medicine, Faculty of Medicine, Erzincan Binali Yildirim University, Erzincan, Turkey
| |
Collapse
|
2
|
Kraft JN, Matijevic S, Hoagey DA, Kennedy KM, Rodrigue KM. Differential Effects of Aging on Regional Corpus Callosum Microstructure and the Modifying Influence of Pulse Pressure. eNeuro 2024; 11:ENEURO.0449-23.2024. [PMID: 38719452 PMCID: PMC11106647 DOI: 10.1523/eneuro.0449-23.2024] [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: 10/31/2023] [Revised: 03/29/2024] [Accepted: 04/02/2024] [Indexed: 05/18/2024] Open
Abstract
The corpus callosum is composed of several subregions, distinct in cellular and functional organization. This organization scheme may render these subregions differentially vulnerable to the aging process. Callosal integrity may be further compromised by cardiovascular risk factors, which negatively influence white matter health. Here, we test for heterochronicity of aging, hypothesizing an anteroposterior gradient of vulnerability to aging that may be altered by the effects of cardiovascular health. In 174 healthy adults across the adult lifespan (mean age = 53.56 ± 18.90; range, 20-94 years old, 58.62% women), pulse pressure (calculated as participant's systolic minus diastolic blood pressure) was assessed to determine cardiovascular risk. A deterministic tractography approach via diffusion-weighted imaging was utilized to extract fractional anisotropy (FA), radial diffusivity (RD), and axial diffusivity (AD) from each of five callosal subregions, serving as estimates of microstructural health. General linear models tested the effects of age, hypertension, and pulse pressure on these cross-sectional metrics. We observed no significant effect of hypertensive diagnosis on callosal microstructure. We found a significant main effect of age and an age-pulse pressure interaction whereby older age and elevated pulse pressure were associated with poorer FA, AD, and RD. Age effects revealed nonlinear components and occurred along an anteroposterior gradient of severity in the callosum. This gradient disappeared when pulse pressure was considered. These results indicate that age-related deterioration across the callosum is regionally variable and that pulse pressure, a proxy of arterial stiffness, exacerbates this aging pattern in a large lifespan cohort.
Collapse
Affiliation(s)
- Jessica N Kraft
- Center for Vital Longevity, Department of Psychology, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, Texas 75235
| | - Stephanie Matijevic
- Center for Vital Longevity, Department of Psychology, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, Texas 75235
- Department of Psychology, University of Arizona, Tucson, Arizona 85721
| | - David A Hoagey
- Center for Vital Longevity, Department of Psychology, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, Texas 75235
| | - Kristen M Kennedy
- Center for Vital Longevity, Department of Psychology, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, Texas 75235
| | - Karen M Rodrigue
- Center for Vital Longevity, Department of Psychology, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, Texas 75235
| |
Collapse
|
3
|
Archer DB, Schilling K, Shashikumar N, Jasodanand V, Moore EE, Pechman KR, Bilgel M, Beason‐Held LL, An Y, Shafer A, Ferrucci L, Risacher SL, Gifford KA, Landman BA, Jefferson AL, Saykin AJ, Resnick SM, Hohman TJ. Leveraging longitudinal diffusion MRI data to quantify differences in white matter microstructural decline in normal and abnormal aging. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2023; 15:e12468. [PMID: 37780863 PMCID: PMC10540270 DOI: 10.1002/dad2.12468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 06/27/2023] [Accepted: 07/05/2023] [Indexed: 10/03/2023]
Abstract
Introduction It is unclear how rates of white matter microstructural decline differ between normal aging and abnormal aging. Methods Diffusion MRI data from several well-established longitudinal cohorts of aging (Alzheimer's Disease Neuroimaging Initiative [ADNI], Baltimore Longitudinal Study of Aging [BLSA], Vanderbilt Memory & Aging Project [VMAP]) were free-water corrected and harmonized. This dataset included 1723 participants (age at baseline: 72.8 ± 8.87 years, 49.5% male) and 4605 imaging sessions (follow-up time: 2.97 ± 2.09 years, follow-up range: 1-13 years, mean number of visits: 4.42 ± 1.98). Differences in white matter microstructural decline in normal and abnormal agers was assessed. Results While we found a global decline in white matter in normal/abnormal aging, we found that several white matter tracts (e.g., cingulum bundle) were vulnerable to abnormal aging. Conclusions There is a prevalent role of white matter microstructural decline in aging, and future large-scale studies in this area may further refine our understanding of the underlying neurodegenerative processes. HIGHLIGHTS Longitudinal data were free-water corrected and harmonized.Global effects of white matter decline were seen in normal and abnormal aging.The free-water metric was most vulnerable to abnormal aging.Cingulum free-water was the most vulnerable to abnormal aging.
Collapse
Affiliation(s)
- Derek B. Archer
- Vanderbilt Memory and Alzheimer's CenterVanderbilt University School of MedicineNashvilleTennesseeUSA
- Vanderbilt Genetics InstituteVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Kurt Schilling
- Vanderbilt University Institute of Imaging ScienceVanderbilt University Medical CenterNashvilleTennesseeUSA
- Department of Radiology & Radiological SciencesVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Niranjana Shashikumar
- Vanderbilt Memory and Alzheimer's CenterVanderbilt University School of MedicineNashvilleTennesseeUSA
| | - Varuna Jasodanand
- Vanderbilt Memory and Alzheimer's CenterVanderbilt University School of MedicineNashvilleTennesseeUSA
| | - Elizabeth E. Moore
- Vanderbilt Memory and Alzheimer's CenterVanderbilt University School of MedicineNashvilleTennesseeUSA
| | - Kimberly R. Pechman
- Vanderbilt Memory and Alzheimer's CenterVanderbilt University School of MedicineNashvilleTennesseeUSA
| | - Murat Bilgel
- Laboratory of Behavioral NeuroscienceNational Institute on AgingNational Institutes of HealthBaltimoreMarylandUSA
| | - Lori L. Beason‐Held
- Laboratory of Behavioral NeuroscienceNational Institute on AgingNational Institutes of HealthBaltimoreMarylandUSA
| | - Yang An
- Laboratory of Behavioral NeuroscienceNational Institute on AgingNational Institutes of HealthBaltimoreMarylandUSA
| | - Andrea Shafer
- Laboratory of Behavioral NeuroscienceNational Institute on AgingNational Institutes of HealthBaltimoreMarylandUSA
| | - Luigi Ferrucci
- Longitudinal Studies Section, Translational Gerontology BranchNational Institute on AgingBaltimoreMDUSA
| | - Shannon L. Risacher
- Indiana University School of MedicineIndianapolisIndianaUSA
- Indiana Alzheimer's Disease Research CenterIndianapolisIndianaUSA
| | - Katherine A. Gifford
- Vanderbilt Memory and Alzheimer's CenterVanderbilt University School of MedicineNashvilleTennesseeUSA
| | - Bennett A. Landman
- Vanderbilt University Institute of Imaging ScienceVanderbilt University Medical CenterNashvilleTennesseeUSA
- Department of Radiology & Radiological SciencesVanderbilt University Medical CenterNashvilleTennesseeUSA
- Department of Biomedical EngineeringVanderbilt UniversityNashvilleTennesseeUSA
- Department of Electrical and Computer EngineeringVanderbilt UniversityNashvilleTennesseeUSA
| | - Angela L. Jefferson
- Vanderbilt Memory and Alzheimer's CenterVanderbilt University School of MedicineNashvilleTennesseeUSA
- Department of MedicineVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Andrew J. Saykin
- Indiana University School of MedicineIndianapolisIndianaUSA
- Indiana Alzheimer's Disease Research CenterIndianapolisIndianaUSA
| | - Susan M. Resnick
- Laboratory of Behavioral NeuroscienceNational Institute on AgingNational Institutes of HealthBaltimoreMarylandUSA
| | - Timothy J. Hohman
- Vanderbilt Memory and Alzheimer's CenterVanderbilt University School of MedicineNashvilleTennesseeUSA
- Vanderbilt Genetics InstituteVanderbilt University Medical CenterNashvilleTennesseeUSA
| | | |
Collapse
|
4
|
Burzynska AZ, Anderson C, Arciniegas DB, Calhoun V, Choi IY, Colmenares AM, Hiner G, Kramer AF, Li K, Lee J, Lee P, Oh SH, Umland S, Thomas ML. Metabolic syndrome and adiposity: Risk factors for decreased myelin in cognitively healthy adults. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2023; 5:100180. [PMID: 38162292 PMCID: PMC10757180 DOI: 10.1016/j.cccb.2023.100180] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 08/11/2023] [Accepted: 08/17/2023] [Indexed: 01/03/2024]
Abstract
Metabolic syndrome (MetS) is a cluster of conditions that affects ∼25% of the global population, including excess adiposity, hyperglycemia, dyslipidemia, and elevated blood pressure. MetS is one of major risk factors not only for chronic diseases, but also for dementia and cognitive dysfunction, although the underlying mechanisms remain poorly understood. White matter is of particular interest in the context of MetS due to the metabolic vulnerability of myelin maintenance, and the accumulating evidence for the importance of the white matter in the pathophysiology of dementia. Therefore, we investigated the associations of MetS risk score and adiposity (combined body mass index and waist circumference) with myelin water fraction measured with myelin water imaging. In 90 cognitively and neurologically healthy adults (20-79 years), we found that both high MetS risk score and adiposity were correlated with lower myelin water fraction in late-myelinating prefrontal and associative fibers, controlling for age, sex, race, ethnicity, education and income. Our findings call for randomized clinical trials to establish causality between MetS, adiposity, and myelin content, and to explore the potential of weight loss and visceral adiposity reduction as means to support maintenance of myelin integrity throughout adulthood, which could open new avenues for prevention or treatment of cognitive decline and dementia.
Collapse
Affiliation(s)
- Agnieszka Z Burzynska
- The BRAiN lab, Department of Human Development and Family Studies/Molecular, Cellular and Integrative Neurosciences, Colorado State University, Fort Collins, CO, USA
| | - Charles Anderson
- Department of Computer Science, Colorado State University, Fort Collins, CO, USA
| | - David B Arciniegas
- Marcus Institute for Brain Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Psychiatry and Behavioral Sciences, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Vince Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, Emory, Atlanta, GA, USA
| | - In-Young Choi
- Department of Neurology, Department of Radiology, Hoglund Biomedical Imaging Center, University of Kansas Medical Center, Kansas City, KS, USA
| | - Andrea Mendez Colmenares
- The BRAiN lab, Department of Human Development and Family Studies/Molecular, Cellular and Integrative Neurosciences, Colorado State University, Fort Collins, CO, USA
| | - Grace Hiner
- The BRAiN lab, Department of Human Development and Family Studies/Molecular, Cellular and Integrative Neurosciences, Colorado State University, Fort Collins, CO, USA
| | - Arthur F Kramer
- Beckman Institute for Advanced Science and Technology at the University of Illinois, IL, USA
- Center for Cognitive & Brain Health, Northeastern University, Boston, MA, USA
| | - Kaigang Li
- Department of Health and Exercise Science, Colorado State University, Fort Collins, CO, USA
| | - Jongho Lee
- Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea
| | - Phil Lee
- Department of Radiology, Hoglund Biomedical Imaging Center, University of Kansas Medical Center, Kansas City, KS, USA
| | - Se-Hong Oh
- Division of Biomedical Engineering, Hankuk University of Foreign Studies, Gyeonggi-do, Republic of Korea
| | - Samantha Umland
- The BRAiN lab, Department of Human Development and Family Studies/Molecular, Cellular and Integrative Neurosciences, Colorado State University, Fort Collins, CO, USA
| | - Michael L Thomas
- Michael Thomas, Department of Psychology, Colorado State University, Fort Collins, CO, USA
| |
Collapse
|
5
|
Archer DB, Schilling K, Shashikumar N, Jasodanand V, Moore EE, Pechman KR, Bilgel M, Beason-Held LL, An Y, Shafer A, Ferrucci L, Risacher SL, Gifford KA, Landman BA, Jefferson AL, Saykin AJ, Resnick SM, Hohman TJ. Leveraging longitudinal diffusion MRI data to quantify differences in white matter microstructural decline in normal and abnormal aging. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.17.541182. [PMID: 37292885 PMCID: PMC10245725 DOI: 10.1101/2023.05.17.541182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
INTRODUCTION It is unclear how rates of white matter microstructural decline differ between normal aging and abnormal aging. METHODS Diffusion MRI data from several well-established longitudinal cohorts of aging [Alzheimer's Neuroimaging Initiative (ADNI), Baltimore Longitudinal Study of Aging (BLSA), Vanderbilt Memory & Aging Project (VMAP)] was free-water corrected and harmonized. This dataset included 1,723 participants (age at baseline: 72.8±8.87 years, 49.5% male) and 4,605 imaging sessions (follow-up time: 2.97±2.09 years, follow-up range: 1-13 years, mean number of visits: 4.42±1.98). Differences in white matter microstructural decline in normal and abnormal agers was assessed. RESULTS While we found global decline in white matter in normal/abnormal aging, we found that several white matter tracts (e.g., cingulum bundle) were vulnerable to abnormal aging. CONCLUSIONS There is a prevalent role of white matter microstructural decline in aging, and future large-scale studies in this area may further refine our understanding of the underlying neurodegenerative processes. HIGHLIGHTS Longitudinal data was free-water corrected and harmonizedGlobal effects of white matter decline were seen in normal and abnormal agingThe free-water metric was most vulnerable to abnormal agingCingulum free-water was the most vulnerable to abnormal aging.
Collapse
Affiliation(s)
- Derek B. Archer
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University School of Medicine, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kurt Schilling
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Radiology & Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Niranjana Shashikumar
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Varuna Jasodanand
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Elizabeth E. Moore
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Kimberly R. Pechman
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Murat Bilgel
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Lori L. Beason-Held
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Yang An
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Andrea Shafer
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | | | - Shannon L. Risacher
- Indiana University School of Medicine, Indianapolis, IN, USA
- Indiana Alzheimer’s Disease Research Center, Indianapolis, IN, USA
| | - Katherine A. Gifford
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Bennett A. Landman
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
- Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA
- Department of Radiology & Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Angela L. Jefferson
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University School of Medicine, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Andrew J. Saykin
- Indiana University School of Medicine, Indianapolis, IN, USA
- Indiana Alzheimer’s Disease Research Center, Indianapolis, IN, USA
| | - Susan M. Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Timothy J. Hohman
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University School of Medicine, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | | |
Collapse
|
6
|
Bender AR, Driver CC, Hertzog C, Raz N. Instructing Use of an Effective Strategy Improves Recognition Memory in Healthy Adults. J Gerontol B Psychol Sci Soc Sci 2023; 78:383-393. [PMID: 36130328 PMCID: PMC9985315 DOI: 10.1093/geronb/gbac144] [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: 04/04/2022] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVES Age-related memory decrements correlate with metacognitive declines, including knowledge and deployment of effective mnemonic encoding strategies. However, whether imparting such strategy suffices for mitigating memory differences is unclear. METHOD In a longitudinal study of 276 healthy adults aged 18-79 years, we tested associative and working memory, and assessed beliefs regarding mnemonic strategies. Testing was repeated every 2 years, 5 times. Starting with the third occasion, we instructed participants to use an effective mnemonic strategy (sentence generation). Using continuous-time dynamic modeling, we assessed changes in the item and associative recognition, intervention effects, and their relations with age, sex, meta-memory beliefs, working memory, and metabolic health. RESULTS Younger age, better working memory, and stronger belief in effective mnemonic strategies predicted better recognition, whereas instructional intervention attenuated associative memory deficits, with some persistence over time. DISCUSSION The present findings show merely imparting effective strategies holds promise for mitigating age-related associative memory deficits.
Collapse
Affiliation(s)
- Andrew R Bender
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan, USA
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Charles C Driver
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
- Institute of Education, University of Zurich, Zurich, Switzerland
| | - Christopher Hertzog
- School of Psychology, Georgia Institute of Technology, Atlanta, Georgia, USA
| | - Naftali Raz
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
- Department of Psychology, Stony Brook University, Stony Brook, New York, USA
| |
Collapse
|
7
|
Stenberg J, Skandsen T, Gøran Moen K, Vik A, Eikenes L, Håberg AK. Diffusion Tensor and Kurtosis Imaging Findings the First Year following Mild Traumatic Brain Injury. J Neurotrauma 2023; 40:457-471. [PMID: 36305387 PMCID: PMC9986024 DOI: 10.1089/neu.2022.0206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Despite enormous research interest in diffusion tensor imaging and diffusion kurtosis imaging (DTI; DKI) following mild traumatic brain injury (MTBI), it remains unknown how diffusion in white matter evolves post-injury and relates to acute MTBI characteristics. This prospective cohort study aimed to characterize diffusion changes in white matter the first year after MTBI. Patients with MTBI (n = 193) and matched controls (n = 83) underwent 3T magnetic resonance imaging (MRI) within 72 h and 3- and 12-months post-injury. Diffusion data were analyzed in three steps: 1) voxel-wise comparisons between the MTBI and control group were performed with tract-based spatial statistics at each time-point; 2) clusters of significant voxels identified in step 1 above were evaluated longitudinally with mixed-effect models; 3) the MTBI group was divided into: (A) complicated (with macrostructural findings on MRI) and uncomplicated MTBI; (B) long (1-24 h) and short (< 1 h) post-traumatic amnesia (PTA); and (C) other and no other concurrent injuries to investigate if findings in step 1 were driven mainly by aberrant diffusion in patients with a more severe injury. At 72 h, voxel-wise comparisons revealed significantly lower fractional anisotropy (FA) in one tract and significantly lower mean kurtosis (Kmean) in 11 tracts in the MTBI compared with control group. At 3 months, the MTBI group had significantly higher mean diffusivity in eight tracts compared with controls. At 12 months, FA was significantly lower in four tracts and Kmean in 10 tracts in patients with MTBI compared with controls. There was considerable overlap in affected tracts across time, including the corpus callosum, corona radiata, internal and external capsule, and cerebellar peduncles. Longitudinal analyses revealed that the diffusion metrics remained relatively stable throughout the first year after MTBI. The significant group*time interactions identified were driven by changes in the control rather than the MTBI group. Further, differences identified in step 1 did not result from greater diffusion abnormalities in patients with complicated MTBI, long PTA, or other concurrent injuries, as standardized mean differences in diffusion metrics between the groups were small (0.07 ± 0.11) and non-significant. However, follow-up voxel-wise analyses revealed that other concurrent injuries had effects on diffusion metrics, but predominantly in other metrics and at other time-points than the effects observed in the MTBI versus control group analysis. In conclusion, patients with MTBI differed from controls in white matter integrity already 72 h after injury. Diffusion metrics remained relatively stable throughout the first year after MTBI and were not driven by deviating diffusion in patients with a more severe MTBI.
Collapse
Affiliation(s)
- Jonas Stenberg
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Toril Skandsen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Department of Physical Medicine and Rehabilitation, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Kent Gøran Moen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Department of Radiology, Vestre Viken Hospital Trust, Drammen Hospital, Drammen, Norway.,Department of Radiology, Nord-Trøndelag Hospital Trust, Levanger Hospital, Levanger, Norway
| | - Anne Vik
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Department of Neurosurgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Live Eikenes
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Asta K Håberg
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| |
Collapse
|
8
|
Cheng GWY, Mok KKS, Yeung SHS, Kofler J, Herrup K, Tse KH. Apolipoprotein E ε4 Mediates Myelin Breakdown by Targeting Oligodendrocytes in Sporadic Alzheimer Disease. J Neuropathol Exp Neurol 2022; 81:717-730. [PMID: 35779013 DOI: 10.1093/jnen/nlac054] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
White matter degradation in the frontal lobe is one of the earliest detectable changes in aging and Alzheimer disease. The ε4 allele of apolipoprotein E (APOE4) is strongly associated with such myelin pathology but the underlying cellular mechanisms remain obscure. We hypothesized that, as a lipid transporter, APOE4 directly triggers pathology in the cholesterol-rich myelin sheath independent of AD pathology. To test this, we performed immunohistochemistry on brain tissues from healthy controls, sporadic, and familial Alzheimer disease subjects. While myelin basic protein expression was largely unchanged, in frontal cortex the number of oligodendrocytes (OLs) was significantly reduced in APOE4 brains independent of their Braak stage or NIA-RI criteria. This high vulnerability of OLs was confirmed in humanized APOE3 or APOE4 transgenic mice. A gradual decline of OL numbers was found in the aging brain without associated neuronal loss. Importantly, the application of lipidated human APOE4, but not APOE3, proteins significantly reduced the formation of myelinating OL in primary cell culture derived from Apoe-knockout mice, especially in cholesterol-depleted conditions. Our findings suggest that the disruption of myelination in APOE4 carriers may represent a direct OL pathology, rather than an indirect consequence of amyloid plaque formation or neuronal loss.
Collapse
Affiliation(s)
- Gerald Wai-Yeung Cheng
- From the Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR
| | - Kingston King-Shi Mok
- From the Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR
| | - Sunny Hoi-Sang Yeung
- From the Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR
| | - Julia Kofler
- Division of Neuropathology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Karl Herrup
- Department of Neurobiology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Kai-Hei Tse
- From the Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR
| |
Collapse
|
9
|
Andica C, Kamagata K, Uchida W, Takabayashi K, Shimoji K, Kaga H, Someya Y, Tamura Y, Kawamori R, Watada H, Hori M, Aoki S. White matter fiber-specific degeneration in older adults with metabolic syndrome. Mol Metab 2022; 62:101527. [PMID: 35691528 PMCID: PMC9234232 DOI: 10.1016/j.molmet.2022.101527] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 06/05/2022] [Accepted: 06/06/2022] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVE Metabolic syndrome (MetS) is defined as a complex of interrelated risk factors for type 2 diabetes and cardiovascular disease, including glucose intolerance, abdominal obesity, hypertension, and dyslipidemia. Studies using diffusion tensor imaging (DTI) have reported white matter (WM) microstructural abnormalities in MetS. However, interpretation of DTI metrics is limited primarily due to the challenges of modeling complex WM structures. The present study used fixel-based analysis (FBA) to assess the effect of MetS on the fiber tract-specific WM microstructure in older adults and its relationship with MetS-related measurements and cognitive and locomotor functions to better understand the pathophysiology of MetS. METHODS Fixel-based metrics, including microstructural fiber density (FD), macrostructural fiber-bundle cross-section (FC), and a combination of FD and FC (FDC), were evaluated in 16 healthy controls (no components of MetS; four men; mean age, 71.31 ± 5.06 years), 57 individuals with premetabolic syndrome (preMetS; one or two components of MetS; 29 men; mean age, 72.44 ± 5.82 years), and 46 individuals with MetS (three to five components of MetS; 27 men; mean age, 72.15 ± 4.97 years) using whole-brain exploratory FBA. Tract of interest (TOI) analysis was then performed using TractSeg across 14 selected WM tracts previously associated with MetS. The associations between fixel-based metrics and MetS-related measurements, neuropsychological, and locomotor function tests were also analyzed in individuals with preMetS and MetS combined. In addition, tensor-based metrics (i.e., fractional anisotropy [FA] and mean diffusivity [MD]) were compared among the groups using tract-based spatial statistics (TBSS) analysis. RESULTS In whole-brain FBA, individuals with MetS showed significantly lower FD, FC, and FDC compared with healthy controls in WM areas, such as the splenium of the corpus callosum (CC), corticospinal tract (CST), middle cerebellar peduncle (MCP), and superior cerebellar peduncle (SCP). Meanwhile, in fixel-based TOI, significantly reduced FD was observed in individuals with preMetS and MetS in the anterior thalamic radiation, CST, SCP, and splenium of the CC compared with healthy controls, with relatively greater effect sizes observed in individuals with MetS. Compared with healthy controls, significantly reduced FC and FDC were only demonstrated in individuals with MetS, including regions with loss of FD, inferior cerebellar peduncle, inferior fronto-occipital fasciculus, MCP, and superior longitudinal fasciculus part I. Furthermore, negative correlations were observed between FD and Brinkman index of cigarette consumption cumulative amount and between FC or FDC and the Trail Making Test (parts B-A), which is a measure of executive function, waist circumference, or low-density lipoprotein cholesterol. Finally, TBSS analysis revealed that FA and MD were not significantly different among all groups. CONCLUSIONS The FBA results demonstrate that substantial axonal loss and atrophy in individuals with MetS and early axonal loss without fiber-bundle morphological changes in those with preMetS within the WM tracts are crucial to cognitive and motor function. FBA also clarified the association between executive dysfunction, abdominal obesity, hyper-low-density lipoprotein cholesterolemia, smoking habit, and compromised WM neural tissue microstructure in MetS.
Collapse
Affiliation(s)
- Christina Andica
- Faculty of Health Data Science, Juntendo University, Urayasu, Chiba, 279-0013, Japan; Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan.
| | - Koji Kamagata
- Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan
| | - Wataru Uchida
- Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan
| | - Kaito Takabayashi
- Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan
| | - Keigo Shimoji
- Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan
| | - Hideyoshi Kaga
- Sportology Center, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-0034, Japan; Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan
| | - Yuki Someya
- Sportology Center, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-0034, Japan
| | - Yoshifumi Tamura
- Sportology Center, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-0034, Japan; Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan
| | - Ryuzo Kawamori
- Sportology Center, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-0034, Japan; Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan
| | - Hirotaka Watada
- Sportology Center, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-0034, Japan; Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan
| | - Masaaki Hori
- Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan; Department of Radiology, Toho University Omori Medical Center, Ota, Tokyo, 143-8541, Japan
| | - Shigeki Aoki
- Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan
| |
Collapse
|
10
|
Keresztes A, Raffington L, Bender AR, Bögl K, Heim C, Shing YL. Longitudinal Developmental Trajectories Do Not Follow Cross-Sectional Age Associations in Hippocampal Subfield and Memory Development. Dev Cogn Neurosci 2022; 54:101085. [PMID: 35278767 PMCID: PMC8917271 DOI: 10.1016/j.dcn.2022.101085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 02/10/2022] [Accepted: 02/11/2022] [Indexed: 11/03/2022] Open
|
11
|
Miller ML, Ghisletta P, Jacobs BS, Dahle CL, Raz N. Changes in cerebral arterial pulsatility and hippocampal volume: a transcranial doppler ultrasonography study. Neurobiol Aging 2021; 108:110-121. [PMID: 34555677 DOI: 10.1016/j.neurobiolaging.2021.08.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 08/06/2021] [Accepted: 08/19/2021] [Indexed: 11/16/2022]
Abstract
The physiological mechanisms of age-related cognitive decline remain unclear, in no small part due to the lack of longitudinal studies. Extant longitudinal studies focused on gross neuroanatomy and diffusion properties of the brain. We present herein a longitudinal analysis of changes in arterial pulsatility - a proxy for arterial stiffness - in two major cerebral arteries, middle cerebral and vertebral. We found that pulsatility increased in some participants over a relatively short period and these increases were associated with hippocampal shrinkage. Higher baseline pulsatility was associated with lower scores on a test of fluid intelligence at follow-up. This is the first longitudinal evidence of an association between increase in cerebral arterial stiffness over time and regional shrinkage.
Collapse
Affiliation(s)
| | - Paolo Ghisletta
- Université de Genève, FPSE, Genève GE, Switzerland; UniMail, Swiss National Centre of Competence in Research LIVES, Genève GE, Switzerland; UniDistance Suisse, Brig VS, Switzerland
| | - Bradley S Jacobs
- Wright State University, Department of Internal Medicine and Neurology, Dayton, Ohio
| | - Cheryl L Dahle
- Wayne State University, Institute of Gerontology, Detroit, Michigan
| | - Naftali Raz
- Wayne State University, Institute of Gerontology, Detroit, Michigan; Wayne State University, Department of Psychology, Detroit, Michigan; Max Planck Institute for Human Development, Berlin-Dahlem, Germany
| |
Collapse
|
12
|
Bender AR, Brandmaier AM, Düzel S, Keresztes A, Pasternak O, Lindenberger U, Kühn S. Hippocampal Subfields and Limbic White Matter Jointly Predict Learning Rate in Older Adults. Cereb Cortex 2021; 30:2465-2477. [PMID: 31800016 DOI: 10.1093/cercor/bhz252] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2019] [Revised: 08/20/2019] [Accepted: 10/01/2019] [Indexed: 12/21/2022] Open
Abstract
Age-related memory impairments have been linked to differences in structural brain parameters, including cerebral white matter (WM) microstructure and hippocampal (HC) volume, but their combined influences are rarely investigated. In a population-based sample of 337 older participants aged 61-82 years (Mage = 69.66, SDage = 3.92 years), we modeled the independent and joint effects of limbic WM microstructure and HC subfield volumes on verbal learning. Participants completed a verbal learning task of recall over five repeated trials and underwent magnetic resonance imaging (MRI), including structural and diffusion scans. We segmented three HC subregions on high-resolution MRI data and sampled mean fractional anisotropy (FA) from bilateral limbic WM tracts identified via deterministic fiber tractography. Using structural equation modeling, we evaluated the associations between learning rate and latent factors representing FA sampled from limbic WM tracts, and HC subfield volumes, and their latent interaction. Results showed limbic WM and the interaction of HC and WM-but not HC volume alone-predicted verbal learning rates. Model decomposition revealed HC volume is only positively associated with learning rate in individuals with higher WM anisotropy. We conclude that the structural characteristics of limbic WM regions and HC volume jointly contribute to verbal learning in older adults.
Collapse
Affiliation(s)
- Andrew R Bender
- Departments of Epidemiology and Biostatistics, Neurology and Ophthalmology, College of Human Medicine, Michigan State University, East Lansing, MI 48824, USA.,Center for Lifespan Psychology, Max Planck Institute for Human Development, D-14195 Berlin, Germany
| | - Andreas M Brandmaier
- Center for Lifespan Psychology, Max Planck Institute for Human Development, D-14195 Berlin, Germany.,Max Planck UCL Centre for Computational Psychiatry and Ageing Research, D-14195 Berlin, Germany and London, UK WC1B 5EH
| | - Sandra Düzel
- Center for Lifespan Psychology, Max Planck Institute for Human Development, D-14195 Berlin, Germany
| | - Attila Keresztes
- Center for Lifespan Psychology, Max Planck Institute for Human Development, D-14195 Berlin, Germany.,Research Centre for Natural Sciences, Hungarian Academy of Sciences, H-1117 Budapest, Hungary.,Faculty of Education and Psychology, Eötvös Loránd University, H-1053 Budapest, Hungary
| | - Ofer Pasternak
- Departments of Psychiatry and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, D-14195 Berlin, Germany.,Max Planck UCL Centre for Computational Psychiatry and Ageing Research, D-14195 Berlin, Germany and London, UK WC1B 5EH.,European University Institute, I-50014. San Domenico di Fiesole, Italy
| | - Simone Kühn
- Center for Lifespan Psychology, Max Planck Institute for Human Development, D-14195 Berlin, Germany.,Department of Psychiatry and Psychotherapy, University Clinic Hamburg-Eppendorf, 20246 Hamburg, Germany
| |
Collapse
|
13
|
Kwiatkowski CC, Akaeze H, Ndlebe I, Goodwin N, Eagle AL, Moon K, Bender AR, Golden SA, Robison AJ. Quantitative standardization of resident mouse behavior for studies of aggression and social defeat. Neuropsychopharmacology 2021; 46:1584-1593. [PMID: 33941861 PMCID: PMC8280187 DOI: 10.1038/s41386-021-01018-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Revised: 03/20/2021] [Accepted: 04/08/2021] [Indexed: 11/09/2022]
Abstract
Territorial reactive aggression in mice is used to study the biology of aggression-related behavior and is also a critical component of procedures used to study mood disorders, such as chronic social defeat stress. However, quantifying mouse aggression in a systematic, representative, and easily adoptable way that allows direct comparison between cohorts within or between studies remains a challenge. Here, we propose a structural equation modeling approach to quantify aggression observed during the resident-intruder procedure. Using data for 658 sexually experienced CD-1 male mice generated by three research groups across three institutions over a 10-year period, we developed a higher-order confirmatory factor model wherein the combined contributions of latency to the first attack, number of attack bouts, and average attack duration on each trial day (easily observable metrics that require no specialized equipment) are used to quantify individual differences in aggression. We call our final model the Mouse Aggression Detector (MAD) model. Correlation analyses between MAD model factors estimated from multiple large datasets demonstrate generalizability of this measurement approach, and we further establish the stability of aggression scores across time within cohorts and demonstrate the utility of MAD for selecting aggressors which will generate a susceptible phenotype in social defeat experiments. Thus, this novel aggression scoring technique offers a systematic, high-throughput approach for aggressor selection in chronic social defeat stress studies and a more consistent and accurate study of mouse aggression itself.
Collapse
Affiliation(s)
- Christine C. Kwiatkowski
- grid.17088.360000 0001 2150 1785Neuroscience Program, Michigan State University, East Lansing, MI USA ,grid.17088.360000 0001 2150 1785School of Criminal Justice, Michigan State University, East Lansing, MI USA
| | - Hope Akaeze
- grid.17088.360000 0001 2150 1785Center for Statistical Training and Consulting (CSTAT), Michigan State University, East Lansing, MI USA ,grid.17088.360000 0001 2150 1785Measurement and Quantitative Methods Program, Michigan State University, East Lansing, MI USA
| | - Isabella Ndlebe
- grid.17088.360000 0001 2150 1785Department of Physiology, Michigan State University, East Lansing, MI USA
| | - Nastacia Goodwin
- grid.34477.330000000122986657Department of Biological Structure, University of Washington, Seattle, WA USA ,grid.34477.330000000122986657Graduate Program in Neuroscience, University of Washington, Seattle, WA USA
| | - Andrew L. Eagle
- grid.17088.360000 0001 2150 1785Department of Physiology, Michigan State University, East Lansing, MI USA
| | - Ken Moon
- grid.17088.360000 0001 2150 1785Department of Physiology, Michigan State University, East Lansing, MI USA
| | - Andrew R. Bender
- grid.17088.360000 0001 2150 1785Neuroscience Program, Michigan State University, East Lansing, MI USA ,grid.17088.360000 0001 2150 1785Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI USA
| | - Sam A. Golden
- grid.34477.330000000122986657Department of Biological Structure, University of Washington, Seattle, WA USA ,grid.34477.330000000122986657Graduate Program in Neuroscience, University of Washington, Seattle, WA USA
| | - Alfred Jay Robison
- Neuroscience Program, Michigan State University, East Lansing, MI, USA. .,Department of Physiology, Michigan State University, East Lansing, MI, USA.
| |
Collapse
|
14
|
Hoagey DA, Lazarus LTT, Rodrigue KM, Kennedy KM. The effect of vascular health factors on white matter microstructure mediates age-related differences in executive function performance. Cortex 2021; 141:403-420. [PMID: 34130048 PMCID: PMC8319097 DOI: 10.1016/j.cortex.2021.04.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 12/11/2020] [Accepted: 04/08/2021] [Indexed: 01/03/2023]
Abstract
Even within healthy aging, vascular risk factors can detrimentally influence cognition, with executive functions (EF) particularly vulnerable. Fronto-parietal white matter (WM) connectivity in part, supports EF and may be particularly sensitive to vascular risk. Here, we utilized structural equation modeling in 184 healthy adults (aged 20-94 years of age) to test the hypotheses that: 1) fronto-parietal WM microstructure mediates age effects on EF; 2) higher blood pressure (BP) and white matter hyperintensity (WMH) burden influences this association. All participants underwent comprehensive cognitive and neuropsychological testing including tests of processing speed, executive function (with a focus on tasks that require switching and inhibition) and completed an MRI scanning session that included FLAIR imaging for semi-automated quantification of white matter hyperintensity burden and diffusion-weighted imaging for tractography. Structural equation models were specified with age (as a continuous variable) and blood pressure predicting within-tract WMH burden and fractional anisotropy predicting executive function and processing speed. Results indicated that fronto-parietal white matter of the genu of the corpus collosum, superior longitudinal fasciculus, and the inferior frontal occipital fasciculus (but not cortico-spinal tract) mediated the association between age and EF. Additionally, increased systolic blood pressure and white matter hyperintensity burden within these white matter tracts contribute to worsening white matter health and are important factors underlying age-brain-behavior associations. These findings suggest that aging brings about increases in both BP and WMH burden, which may be involved in the degradation of white matter connectivity and in turn, negatively impact executive functions as we age.
Collapse
Affiliation(s)
- David A Hoagey
- The University of Texas at Dallas, School of Behavioral and Brain Sciences, Center for Vital Longevity, Dallas, TX, USA
| | - Linh T T Lazarus
- Department of Psychology, Michigan State University, East Lansing, MI, USA
| | - Karen M Rodrigue
- The University of Texas at Dallas, School of Behavioral and Brain Sciences, Center for Vital Longevity, Dallas, TX, USA
| | - Kristen M Kennedy
- The University of Texas at Dallas, School of Behavioral and Brain Sciences, Center for Vital Longevity, Dallas, TX, USA.
| |
Collapse
|
15
|
Matijevic S, Ryan L. Tract Specificity of Age Effects on Diffusion Tensor Imaging Measures of White Matter Health. Front Aging Neurosci 2021; 13:628865. [PMID: 33790778 PMCID: PMC8006297 DOI: 10.3389/fnagi.2021.628865] [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: 11/13/2020] [Accepted: 02/11/2021] [Indexed: 11/13/2022] Open
Abstract
Well-established literature indicates that older adults have poorer cerebral white matter integrity, as measured through diffusion tensor imaging (DTI). Age differences in DTI have been observed widely across white matter, although some tracts appear more sensitive to the effects of aging than others. Factors like APOE ε4 status and sex may contribute to individual differences in white matter integrity that also selectively impact certain tracts, and could influence DTI changes in aging. The present study explored the degree to which age, APOE ε4, and sex exerted global vs. tract specific effects on DTI metrics in cognitively healthy late middle-aged to older adults. Data from 49 older adults (ages 54–92) at two time-points separated by approximately 2.7 years were collected. DTI metrics, including fractional anisotropy (FA) and mean diffusivity (MD), were extracted from nine white matter tracts and global white matter. Results showed that across timepoints, FA and MD increased globally, with no tract-specific changes observed. Baseline age had a global influence on both measures, with increasing age associated with lower FA and higher MD. After controlling for global white matter FA, age additionally predicted FA for the genu, callosum body, inferior fronto-occipital fasciculus (IFOF), and both anterior and posterior cingulum. Females exhibited lower global FA on average compared to males. In contrast, MD was selectively elevated in the anterior cingulum and superior longitudinal fasciculus (SLF), for females compared to males. APOE ε4 status was not predictive of either measure. In summary, these results indicate that age and sex are associated with both global and tract-specific alterations to DTI metrics among a healthy older adult cohort. Older women have poorer white matter integrity compared to older men, perhaps related to menopause-induced metabolic changes. While age-related alterations to white matter integrity are global, there is substantial variation in the degree to which tracts are impacted, possibly as a consequence of tract anatomical variability. The present study highlights the importance of accounting for global sources of variation in DTI metrics when attempting to investigate individual differences (due to age, sex, or other factors) in specific white matter tracts.
Collapse
Affiliation(s)
- Stephanie Matijevic
- Cognition and Neuroimaging Laboratory, Department of Psychology, University of Arizona, Tucson, AZ, United States
| | - Lee Ryan
- Cognition and Neuroimaging Laboratory, Department of Psychology, University of Arizona, Tucson, AZ, United States
| |
Collapse
|
16
|
Higher BMI, but not obesity-related genetic polymorphisms, correlates with lower structural connectivity of the reward network in a population-based study. Int J Obes (Lond) 2020; 45:491-501. [PMID: 33100325 PMCID: PMC7906899 DOI: 10.1038/s41366-020-00702-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 09/13/2020] [Accepted: 10/14/2020] [Indexed: 11/08/2022]
Abstract
BACKGROUND Obesity is of complex origin, involving genetic and neurobehavioral factors. Genetic polymorphisms may increase the risk for developing obesity by modulating dopamine-dependent behaviors, such as reward processing. Yet, few studies have investigated the association of obesity, related genetic variants, and structural connectivity of the dopaminergic reward network. METHODS We analyzed 347 participants (age range: 20-59 years, BMI range: 17-38 kg/m2) of the LIFE-Adult Study. Genotyping for the single nucleotid polymorphisms rs1558902 (FTO) and rs1800497 (near dopamine D2 receptor) was performed on a microarray. Structural connectivity of the reward network was derived from diffusion-weighted magnetic resonance imaging at 3 T using deterministic tractography of Freesurfer-derived regions of interest. Using graph metrics, we extracted summary measures of clustering coefficient and connectivity strength between frontal and striatal brain regions. We used linear models to test the association of BMI, risk alleles of both variants, and reward network connectivity. RESULTS Higher BMI was significantly associated with lower connectivity strength for number of streamlines (β = -0.0025, 95%-C.I.: [-0.004, -0.0008], p = 0.0042), and, to lesser degree, fractional anisotropy (β = -0.0009, 95%-C.I. [-0.0016, -0.00008], p = 0.031), but not clustering coefficient. Strongest associations were found for left putamen, right accumbens, and right lateral orbitofrontal cortex. As expected, the polymorphism rs1558902 in FTO was associated with higher BMI (F = 6.9, p < 0.001). None of the genetic variants was associated with reward network structural connectivity. CONCLUSIONS Here, we provide evidence that higher BMI correlates with lower reward network structural connectivity. This result is in line with previous findings of obesity-related decline in white matter microstructure. We did not observe an association of variants in FTO or near DRD2 receptor with reward network structural connectivity in this population-based cohort with a wide range of BMI and age. Future research should further investigate the link between genetics, obesity and fronto-striatal structural connectivity.
Collapse
|
17
|
Beck D, de Lange AMG, Maximov II, Richard G, Andreassen OA, Nordvik JE, Westlye LT. White matter microstructure across the adult lifespan: A mixed longitudinal and cross-sectional study using advanced diffusion models and brain-age prediction. Neuroimage 2020; 224:117441. [PMID: 33039618 DOI: 10.1016/j.neuroimage.2020.117441] [Citation(s) in RCA: 88] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 09/11/2020] [Accepted: 10/05/2020] [Indexed: 12/22/2022] Open
Abstract
The macro- and microstructural architecture of human brain white matter undergoes substantial alterations throughout development and ageing. Most of our understanding of the spatial and temporal characteristics of these lifespan adaptations come from magnetic resonance imaging (MRI), including diffusion MRI (dMRI), which enables visualisation and quantification of brain white matter with unprecedented sensitivity and detail. However, with some notable exceptions, previous studies have relied on cross-sectional designs, limited age ranges, and diffusion tensor imaging (DTI) based on conventional single-shell dMRI. In this mixed cross-sectional and longitudinal study (mean interval: 15.2 months) including 702 multi-shell dMRI datasets, we combined complementary dMRI models to investigate age trajectories in healthy individuals aged 18 to 94 years (57.12% women). Using linear mixed effect models and machine learning based brain age prediction, we assessed the age-dependence of diffusion metrics, and compared the age prediction accuracy of six different diffusion models, including diffusion tensor (DTI) and kurtosis imaging (DKI), neurite orientation dispersion and density imaging (NODDI), restriction spectrum imaging (RSI), spherical mean technique multi-compartment (SMT-mc), and white matter tract integrity (WMTI). The results showed that the age slopes for conventional DTI metrics (fractional anisotropy [FA], mean diffusivity [MD], axial diffusivity [AD], radial diffusivity [RD]) were largely consistent with previous research, and that the highest performing advanced dMRI models showed comparable age prediction accuracy to conventional DTI. Linear mixed effects models and Wilk's theorem analysis showed that the 'FA fine' metric of the RSI model and 'orientation dispersion' (OD) metric of the NODDI model showed the highest sensitivity to age. The results indicate that advanced diffusion models (DKI, NODDI, RSI, SMT mc, WMTI) provide sensitive measures of age-related microstructural changes of white matter in the brain that complement and extend the contribution of conventional DTI.
Collapse
Affiliation(s)
- Dani Beck
- Department of Psychology, University of Oslo, PO Box 1094 Blindern, 0317 Oslo, Norway; NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Sunnaas Rehabilitation Hospital HT, Nesodden, Oslo, Norway.
| | - Ann-Marie G de Lange
- Department of Psychology, University of Oslo, PO Box 1094 Blindern, 0317 Oslo, Norway; NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, United Kingdom
| | - Ivan I Maximov
- Department of Psychology, University of Oslo, PO Box 1094 Blindern, 0317 Oslo, Norway; NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Geneviève Richard
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ole A Andreassen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | | | - Lars T Westlye
- Department of Psychology, University of Oslo, PO Box 1094 Blindern, 0317 Oslo, Norway; NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway.
| |
Collapse
|
18
|
Lynn JD, Anand C, Arshad M, Homayouni R, Rosenberg DR, Ofen N, Raz N, Stanley JA. Microstructure of Human Corpus Callosum across the Lifespan: Regional Variations in Axon Caliber, Density, and Myelin Content. Cereb Cortex 2020; 31:1032-1045. [PMID: 32995843 DOI: 10.1093/cercor/bhaa272] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 08/21/2020] [Accepted: 08/21/2020] [Indexed: 12/13/2022] Open
Abstract
The myeloarchitecture of the corpus callosum (CC) is characterized as a mosaic of distinct differences in fiber density of small- and large-diameter axons along the anterior-posterior axis; however, regional and age differences across the lifespan are not fully understood. Using multiecho T2 magnetic resonance imaging combined with multi-T2 fitting, the myelin water fraction (MWF) and geometric-mean of the intra-/extracellular water T2 (geomT2IEW) in 395 individuals (7-85 years; 41% males) were examined. The approach was validated where regional patterns along the CC closely resembled the histology; MWF matched mean axon diameter and geomT2IEW mirrored the density of large-caliber axons. Across the lifespan, MWF exhibited a quadratic association with age in all 10 CC regions with evidence of a positive linear MWF-age relationship among younger participants and minimal age differences in the remainder of the lifespan. Regarding geomT2IEW, a significant linear age × region interaction reflected positive linear age dependence mostly prominent in the regions with the highest density of small-caliber fibers-genu and splenium. In all, these two indicators characterize distinct attributes that are consistent with histology, which is a first. In addition, these results conform to rapid developmental progression of CC myelination leveling in middle age as well as age-related degradation of axon sheaths in older adults.
Collapse
Affiliation(s)
- Jonathan D Lynn
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit MI 48201, USA
- Institute of Gerontology, Wayne State University, Detroit MI 48202, USA
| | - Chaitali Anand
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit MI 48201, USA
- Institute of Gerontology, Wayne State University, Detroit MI 48202, USA
| | - Muzamil Arshad
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit MI 48201, USA
| | - Roya Homayouni
- Institute of Gerontology, Wayne State University, Detroit MI 48202, USA
- Department of Psychology, Wayne State University, Detroit MI 48201, USA
| | - David R Rosenberg
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit MI 48201, USA
| | - Noa Ofen
- Institute of Gerontology, Wayne State University, Detroit MI 48202, USA
- Department of Psychology, Wayne State University, Detroit MI 48201, USA
- Lifespan Cognitive Neuroscience, Merrill Palmer Skillman Institute, Wayne State University, Detroit MI 14195, USA
| | - Naftali Raz
- Institute of Gerontology, Wayne State University, Detroit MI 48202, USA
- Department of Psychology, Wayne State University, Detroit MI 48201, USA
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin 14195, Germany
| | - Jeffrey A Stanley
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit MI 48201, USA
| |
Collapse
|
19
|
Estella NM, Sanches LG, Maranhão MF, Hoexter MQ, Schmidt U, Campbell IC, Amaro E, Claudino AM. Brain white matter microstructure in obese women with binge eating disorder. EUROPEAN EATING DISORDERS REVIEW 2020; 28:525-535. [PMID: 32705772 DOI: 10.1002/erv.2758] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 05/09/2020] [Accepted: 06/13/2020] [Indexed: 12/16/2022]
Abstract
OBJECTIVE Research on potential brain circuit abnormalities in binge eating disorder (BED) is limited. Here, we assess white matter (WM) microstructure in obese women with BED. METHOD Diffusion tensor imaging data were acquired, and tract-based spatial statistics used to examine WM in women with BED who were obese (n = 17) compared to normal-weight (NWC) (n = 17) and to women who were obese (OBC) (n = 13). Body mass index (BMI) was a covariate in the analyses. RESULTS The BED group (vs. NWC) had greater axial diffusion (AD) in the forceps minor, anterior thalamic radiation, superior and inferior longitudinal fasciculus, that is, in pathways connecting fronto-limbic regions. Microstructures differences in AD between the BED and OBC groups were seen in fronto-limbic pathways extending to temporoparietal pathways. The BED (vs. OBC) group had greater fractional anisotropy in the forceps minor and greater AD in the superior longitudinal fasciculus, cingulate gyrus, and corpus callosum, consistent with fronto-tempoparietal pathways. CONCLUSION Women with BED show WM alterations in AD in fronto-limbic and parietal pathways that are important in decision-making processes. As BMI was a covariate in the analyses, alterations in BED may be part of the pathology, but whether they are a cause or effect of illness is unclear.
Collapse
Affiliation(s)
- Nara Mendes Estella
- Eating Disorder Program (PROATA), Department of Psychiatry, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | | | - Mara Fernandes Maranhão
- Eating Disorder Program (PROATA), Department of Psychiatry, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Marcelo Queiroz Hoexter
- Eating Disorder Program (PROATA), Department of Psychiatry, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Ulrike Schmidt
- Institute of Psychiatry, Psychology and Neuroscience, King's College London (KCL), London, UK
| | - Iain C Campbell
- Institute of Psychiatry, Psychology and Neuroscience, King's College London (KCL), London, UK
| | - Edson Amaro
- Hospital Israelita Albert Einstein, São Paulo, Brazil
| | - Angélica Medeiros Claudino
- Eating Disorder Program (PROATA), Department of Psychiatry, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| |
Collapse
|
20
|
June D, Williams OA, Huang CW, An Y, Landman BA, Davatzikos C, Bilgel M, Resnick SM, Beason-Held LL. Lasting consequences of concussion on the aging brain: Findings from the Baltimore Longitudinal Study of Aging. Neuroimage 2020; 221:117182. [PMID: 32702483 PMCID: PMC7848820 DOI: 10.1016/j.neuroimage.2020.117182] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 07/10/2020] [Accepted: 07/16/2020] [Indexed: 11/30/2022] Open
Abstract
Studies suggest that concussions may be related to increased risk of
neurodegenerative diseases, such as Chronic Traumatic Encephalopathy and
Alzheimer’s Disease. Most neuroimaging studies show effects of
concussionsin frontal and temporal lobes of the brain, yet the long-term impacts
of concussions on the aging brain have not been well studied. We examined
neuroimaging data from 51 participants (mean age at first imaging visit =
65.1±11.23) in the Baltimore Longitudinal Study of Aging (BLSA) who
reported a concussion in their medical history an average of 23 years prior to
the first imaging visit, and compared them to 150 participants (mean age at
first imaging visit = 66.6 ± 10.97) with no history of concussion.
Participants underwent serial structural MRI overa mean of 5.17 ± 6.14
years and DTI over a mean of 2.92 ± 2.22 years to measure brain
structure, as well as 15O-water PET over a mean of 5.33 ± 2.19
years to measure brain function. A battery of neuropsychological tests was also
administered over a mean of 11.62 ± 7.41 years. Analyses of frontal and
temporal lobe regions were performed to examine differences in these measures
between the concussion and control groups at first imaging visit and in change
over time. Compared to those without concussion, participants with a prior
concussion had greater brain atrophy in temporal lobe white matter and
hippocampus at first imaging visit, which remained stable throughout the
follow-up visits. Those with prior concussion also showed differences in white
matter microstructure using DTI, including increased radial and axial
diffusivity in the fornix/stria terminalis, anterior corona radiata, and
superior longitudinal fasciculus at first imaging visit. In 15O-water
PET, higher resting cerebral blood flow was seen at first imaging visit in
orbitofrontal and lateral temporal regions, and both increases and decreases
were seen in prefrontal, cingulate, insular, hippocampal, and ventral temporal
regions with longitudinal follow-up. There were no significant differences in
neuropsychological performance between groups. Most of the differences observed
between the concussed and non-concussed groups were seen at the first imaging
visit, suggesting that concussions can produce long-lasting structural and
functional alterations in temporal and frontal regions of the brain in older
individuals. These results also suggest that many of the reported short-term
effects of concussion may still be apparent later in life.
Collapse
Affiliation(s)
- Danielle June
- Laboratory of Behavioral Neuroscience, National Institute on Aging, 251 Bayview Blvd., Baltimore, MD, 21224-6825, USA
| | - Owen A Williams
- Laboratory of Behavioral Neuroscience, National Institute on Aging, 251 Bayview Blvd., Baltimore, MD, 21224-6825, USA
| | - Chiung-Wei Huang
- Laboratory of Behavioral Neuroscience, National Institute on Aging, 251 Bayview Blvd., Baltimore, MD, 21224-6825, USA
| | - Yang An
- Laboratory of Behavioral Neuroscience, National Institute on Aging, 251 Bayview Blvd., Baltimore, MD, 21224-6825, USA
| | - Bennett A Landman
- Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA
| | - Christos Davatzikos
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, USA
| | - Murat Bilgel
- Laboratory of Behavioral Neuroscience, National Institute on Aging, 251 Bayview Blvd., Baltimore, MD, 21224-6825, USA
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, 251 Bayview Blvd., Baltimore, MD, 21224-6825, USA
| | - Lori L Beason-Held
- Laboratory of Behavioral Neuroscience, National Institute on Aging, 251 Bayview Blvd., Baltimore, MD, 21224-6825, USA.
| |
Collapse
|
21
|
Jennings JR, Muldoon MF, Sved AF. Is the Brain an Early or Late Component of Essential Hypertension? Am J Hypertens 2020; 33:482-490. [PMID: 32170317 DOI: 10.1093/ajh/hpaa038] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Revised: 02/17/2020] [Accepted: 03/11/2020] [Indexed: 11/13/2022] Open
Abstract
The brain's relationship to essential hypertension is primarily understood to be that of an end-organ, damaged late in life by stroke or dementia. Emerging evidence, however, shows that heightened blood pressure (BP) early in life and prior to traditionally defined hypertension, relates to altered brain structure, cerebrovascular function, and cognitive processing. Deficits in cognitive function, cerebral blood flow responsivity, volumes of brain areas, and white matter integrity all relate to increased but prehypertensive levels of BP. Such relationships may be observed as early as childhood. In this review, we consider the basis of these relationships by examining the emergence of putative causative factors for hypertension that would impact or involve brain function/structure, e.g., sympathetic nervous system activation and related endocrine and inflammatory activation. Currently, however, available evidence is not sufficient to fully explain the specific pattern of brain deficits related to heightened BP. Despite this uncertainty, the evidence reviewed suggests the value that early intervention may have, not only for reducing BP, but also for maintaining brain function.
Collapse
Affiliation(s)
- John Richard Jennings
- Department of Psychiatry and Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Matthew F Muldoon
- Division of Cardiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
- Heart and Vascular Institute, Hypertension Center, UPMC Medical Center, Pittsburgh, Pennsylvania, USA
| | - Alan F Sved
- Center for Neuroscience, University of Pittsburgh, Pennsylvania, USA
- Department of Neuroscience, University of Pittsburgh, Pennsylvania, USA
| |
Collapse
|
22
|
Diffusion tensor imaging of the corpus callosum in healthy aging: Investigating higher order polynomial regression modelling. Neuroimage 2020; 213:116675. [PMID: 32112960 DOI: 10.1016/j.neuroimage.2020.116675] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Revised: 02/19/2020] [Accepted: 02/20/2020] [Indexed: 12/21/2022] Open
Abstract
Previous diffusion tensor imaging (DTI) studies confirmed the vulnerability of corpus callosum (CC) fibers to aging. However, most studies employed lower order regressions to study the relationship between age and white matter microstructure. The present study investigated whether higher order polynomial regression modelling can better describe the relationship between age and CC DTI metrics compared to lower order models in 140 healthy participants (ages 18-85). The CC was found to be non-uniformly affected by aging, with accelerated and earlier degradation occurring in anterior portion; callosal volume, fiber count, fiber length, mean fibers per voxel, and FA decreased with age while mean, axial, and radial diffusivities increased. Half of the parameters studied also displayed significant age-sex interaction or intracranial volume effects. Higher order models were chosen as the best fit, based on Bayesian Information Criterion minimization, in 16 out of 23 significant cases when describing the relationship between DTI measurements and age. Higher order model fits provided different estimations of aging trajectory peaks and decline onsets than lower order models; however, a likelihood ratio test found that higher order regressions generally did not fit the data significantly better than lower order polynomial or linear models. The results contrast the modelling approaches and highlight the importance of using higher order polynomial regression modelling when investigating associations between age and CC white matter microstructure.
Collapse
|
23
|
Luque Laguna PA, Combes AJE, Streffer J, Einstein S, Timmers M, Williams SCR, Dell'Acqua F. Reproducibility, reliability and variability of FA and MD in the older healthy population: A test-retest multiparametric analysis. NEUROIMAGE-CLINICAL 2020; 26:102168. [PMID: 32035272 PMCID: PMC7011084 DOI: 10.1016/j.nicl.2020.102168] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2019] [Revised: 01/10/2020] [Accepted: 01/10/2020] [Indexed: 12/13/2022]
Abstract
In older healthy subjects, FA and MD show overall good test-retest reliability & reproducibility. MD is sistematically more reproducible than FA across the entire brain anatomy. FA is more reliable than MD in subcortical white matter regions. In high reliability & low reproducibility regions, variability between subjects is high and statistical power is low. In low reliability & high reproducibility regions, variability between subjects is low and statistical power is high.
Collapse
Affiliation(s)
- Pedro A Luque Laguna
- Department 5 of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; Natbrainlab, Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK; Sackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK.
| | - Anna J E Combes
- Department 5 of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Johannes Streffer
- UCB Biopharma SPRL, Chemin du Foriest B-1420 Braine-l'Alleud, Belgium; Reference Center for Biological Markers of Dementia (BIODEM), Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Steven Einstein
- Janssen Research and Development LLC, Titusville, NJ, US; UCB Biopharma SPRL, Chemin du Foriest B-1420 Braine-l'Alleud, Belgium
| | - Maarten Timmers
- Janssen Research and Development, a division of Janssen Pharmaceutica NV, Beerse, Belgium; Reference Center for Biological Markers of Dementia (BIODEM), Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Steve C R Williams
- Department 5 of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK.
| | - Flavio Dell'Acqua
- Natbrainlab, Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK; Sackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK.
| |
Collapse
|
24
|
Ghisletta P, Mason F, Dahle CL, Raz N. Metabolic risk affects fluid intelligence changes in healthy adults. Psychol Aging 2019; 34:912-920. [PMID: 31589057 DOI: 10.1037/pag0000402] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Metabolic syndrome affects persons of all ages and has been associated with cognitive decline. In a sample of 221 healthy adults (18.57 to 85.33 years), assessed up to 3 times (over up to 6.33 years), we applied a second-order bivariate dual-change-score model with strong factorial invariance to estimate the effects of previous levels of metabolic risk (MR) and fluid intelligence (Gf) on subsequent changes in both constructs. The results indicated that MR levels affect subsequent changes in Gf, whereas Gf does not affect changes in MR. This suggests that control of MR may be related to the change in a person's cognitive status, making early intervention, starting in young adulthood, a promising approach. To our knowledge, this is the first long-term study with such evidence. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
Collapse
Affiliation(s)
| | - Fabio Mason
- Faculty of Psychology and Educational Sciences
| | | | | |
Collapse
|
25
|
Wassenaar TM, Yaffe K, van der Werf YD, Sexton CE. Associations between modifiable risk factors and white matter of the aging brain: insights from diffusion tensor imaging studies. Neurobiol Aging 2019; 80:56-70. [PMID: 31103633 PMCID: PMC6683729 DOI: 10.1016/j.neurobiolaging.2019.04.006] [Citation(s) in RCA: 69] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 03/26/2019] [Accepted: 04/05/2019] [Indexed: 01/13/2023]
Abstract
There is increasing interest in factors that may modulate white matter (WM) breakdown and, consequentially, age-related cognitive and behavioral deficits. Recent diffusion tensor imaging studies have examined the relationship of such factors with WM microstructure. This review summarizes the evidence regarding the relationship between WM microstructure and recognized modifiable factors, including hearing loss, hypertension, diabetes, obesity, smoking, depressive symptoms, physical (in) activity, and social isolation, as well as sleep disturbances, diet, cognitive training, and meditation. Current cross-sectional evidence suggests a clear link between loss of WM integrity (lower fractional anisotropy and higher mean diffusivity) and hypertension, obesity, diabetes, and smoking; a relationship that seems to hold for hearing loss, social isolation, depressive symptoms, and sleep disturbances. Physical activity, cognitive training, diet, and meditation, on the other hand, may protect WM with aging. Preliminary evidence from cross-sectional studies of treated risk factors suggests that modification of factors could slow down negative effects on WM microstructure. Careful intervention studies are needed for this literature to contribute to public health initiatives going forward.
Collapse
Affiliation(s)
- Thomas M Wassenaar
- Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroscience, FMRIB Centre, University of Oxford, John Radcliffe Hospital, UK
| | - Kristine Yaffe
- Departments of Psychiatry, Neurology, and Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Ysbrand D van der Werf
- Department of Anatomy and Neurosciences, VU University Medical Center, MC, Amsterdam, the Netherlands
| | - Claire E Sexton
- Department of Neurology, Global Brain Health Institute, Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA; Department of Psychiatry, Wellcome Centre for Integrative Neuroscience, Oxford Centre for Human Brain Activity, University of Oxford, John Radcliffe Hospital, UK.
| |
Collapse
|
26
|
McPhee GM, Downey LA, Stough C. Effects of sustained cognitive activity on white matter microstructure and cognitive outcomes in healthy middle-aged adults: A systematic review. Ageing Res Rev 2019; 51:35-47. [PMID: 30802543 DOI: 10.1016/j.arr.2019.02.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2018] [Revised: 02/14/2019] [Accepted: 02/18/2019] [Indexed: 01/27/2023]
Abstract
Adults who remain cognitively active may be protected from age-associated changes in white matter (WM) and cognitive decline. To determine if cognitive activity is a precursor for WM plasticity, the available literature was systematically searched for Region of Interest (ROI) and whole-brain studies assessing the efficacy of cognitive training (CT) on WM microstructure using Diffusion Tensor Imaging (DTI) in healthy adults (> 40 years). Seven studies were identified and included in this review. Results suggest there are beneficial effects to WM microstructure after CT in frontal and medial brain regions, with some studies showing improved performance in cognitive outcomes. Benefits of CT were shown to be protective against age-related WM microstructure decline by either maintaining or improving WM after training. These results have implications for determining the capacity for training-dependent WM plasticity in older adults and whether CT can be utilised to prevent age-associated cognitive decline. Additional studies with standardised training and imaging protocols are needed to confirm these outcomes.
Collapse
|
27
|
Williams OA, An Y, Beason-Held L, Huo Y, Ferrucci L, Landman BA, Resnick SM. Vascular burden and APOE ε4 are associated with white matter microstructural decline in cognitively normal older adults. Neuroimage 2019; 188:572-583. [PMID: 30557663 PMCID: PMC6601608 DOI: 10.1016/j.neuroimage.2018.12.009] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Revised: 11/20/2018] [Accepted: 12/04/2018] [Indexed: 11/27/2022] Open
Abstract
White matter microstructure can be measured with diffusion tensor imaging (DTI). While increasing age is a predictor of white matter (WM) microstructure changes, roles of other possible modifiers, such as cardiovascular risk factors, APOE ε4 allele status and biological sex have not been clarified. We investigated 665 cognitively normal participants from the Baltimore Longitudinal Study of Aging (age 50-95, 56.7% female) with a total of 1384 DTI scans. WM microstructure was assessed by fractional anisotropy (FA) and mean diffusivity (MD). A vascular burden score was defined as the sum of five risk factors (hypertension, obesity, elevated cholesterol, diabetes and smoking status). Linear mixed effects models assessed the association of baseline vascular burden on baseline and on rates of change of FA and MD over a mean follow-up of 3.6 years, while controlling for age, race, and scanner type. We also compared DTI trajectories in APOE ε4 carriers vs. non-carriers and men vs. women. At baseline, higher vascular burden was associated with lower FA and higher MD in many WM structures including association, commissural, and projection fibers. Higher baseline vascular burden was also associated with greater longitudinal decline in FA in the hippocampal part of the cingulum and the fornix (crus)/stria terminalis and splenium of the corpus callosum, and with greater increases in MD in the splenium of the corpus callosum. APOE ε4 carriers did not differ from non-carriers in baseline DTI metrics but had greater decline in FA in the genu and splenium of the corpus callosum. Men had higher FA and lower MD in multiple WM regions at baseline but showed greater increase in MD in the genu of the corpus callosum. Women showed greater decreases over time in FA in the gyrus part of the cingulum, compared to men. Our findings show that modifiable vascular risk factors (1) have a negative impact on white matter microstructure and (2) are associated with faster microstructural deterioration of temporal WM regions and the splenium of the corpus callosum in cognitively normal adults. Reducing vascular burden in aging could modify the rate of WM deterioration and could decrease age-related cognitive decline and impairment.
Collapse
Affiliation(s)
- Owen A Williams
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD 21224, USA.
| | - Yang An
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD 21224, USA
| | - Lori Beason-Held
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD 21224, USA
| | - Yuankai Huo
- School of Engineering, Vanderbilt University, Nashville, TN 37212, USA
| | - Luigi Ferrucci
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA
| | - Bennett A Landman
- School of Engineering, Vanderbilt University, Nashville, TN 37212, USA
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD 21224, USA.
| |
Collapse
|
28
|
Sabisz A, Naumczyk P, Marcinkowska A, Graff B, Gąsecki D, Glińska A, Witkowska M, Jankowska A, Konarzewska A, Kwela J, Jodzio K, Szurowska E, Narkiewicz K. Aging and Hypertension - Independent or Intertwined White Matter Impairing Factors? Insights From the Quantitative Diffusion Tensor Imaging. Front Aging Neurosci 2019; 11:35. [PMID: 30837864 PMCID: PMC6389787 DOI: 10.3389/fnagi.2019.00035] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Accepted: 02/05/2019] [Indexed: 01/17/2023] Open
Abstract
Aging disrupts white matter integrity, and so does continuous elevated blood pressure that accompanies hypertension (HTN). Yet, our understanding of the interrelationship between these factors is still limited. The study aimed at evaluating patterns of changes in diffusion parameters (as assessed by quantitative diffusion fiber tracking - qDTI) following both aging, and hypertension, as well as the nature of their linkage. 146 participants took part in the study: the control group (N = 61) and the patients with hypertension (N = 85), and were divided into three age subgroups (25-47, 48-56, 57-71 years). qDTI was used to calculate the values of fractional anisotropy, mean, radial and axial diffusivity in 20 main tracts of the brain. The effects of factors (aging and hypertension) on diffusion parameters of tracts were tested with a two-way ANOVA. In the right hemisphere there was no clear effect of the HTN, nor an interaction between the factors, though some age-related effects were observed. Contrary, in the left hemisphere both aging and hypertension contributed to the white matter decline, following a functional pattern. In the projection pathways and the fornix, HTN and aging played part independent of each other, whereas in association fibers and the corpus callosum if the hypertension effect was significant, an interaction was observed. HTN patients manifested faster decline of diffusion parameters but also reached a plateau earlier, with highest between-group differences noted in the middle-aged subgroup. Healthy and hypertensive participants have different brain aging patterns. The HTN is associated with acceleration of white matter integrity decline, observed mainly in association fibers of the left hemisphere.
Collapse
Affiliation(s)
- Agnieszka Sabisz
- Second Department of Radiology, Medical University of Gdańsk, Gdańsk, Poland
| | | | - Anna Marcinkowska
- Second Department of Radiology, Medical University of Gdańsk, Gdańsk, Poland
| | - Beata Graff
- Department of Hypertension and Diabetology, Medical University of Gdańsk, Gdańsk, Poland
| | - Dariusz Gąsecki
- Department of Neurology of Adults, Medical University of Gdańsk, Gdańsk, Poland
| | - Anna Glińska
- Second Department of Radiology, Medical University of Gdańsk, Gdańsk, Poland
| | - Marta Witkowska
- Institute of Psychology, University of Gdańsk, Gdańsk, Poland
| | - Anna Jankowska
- Second Department of Radiology, Medical University of Gdańsk, Gdańsk, Poland
| | | | - Jerzy Kwela
- Institute of Experimental Physics, University of Gdańsk, Gdańsk, Poland
| | | | - Edyta Szurowska
- Second Department of Radiology, Medical University of Gdańsk, Gdańsk, Poland
| | - Krzysztof Narkiewicz
- Department of Hypertension and Diabetology, Medical University of Gdańsk, Gdańsk, Poland
| |
Collapse
|
29
|
Vemuri P, Lesnick TG, Przybelski SA, Graff‐Radford J, Reid RI, Lowe VJ, Zuk SM, Senjem ML, Schwarz CG, Gunter JL, Kantarci K, Machulda MM, Mielke MM, Petersen RC, Knopman DS, Jack CR. Development of a cerebrovascular magnetic resonance imaging biomarker for cognitive aging. Ann Neurol 2018; 84:705-716. [PMID: 30264411 PMCID: PMC6282853 DOI: 10.1002/ana.25346] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2018] [Revised: 09/24/2018] [Accepted: 09/24/2018] [Indexed: 11/15/2022]
Abstract
OBJECTIVE Recent availability of amyloid and tau positron emission tomography (PET) has provided us with a unique opportunity to measure the association of systemic vascular health with brain health after accounting for the impact of Alzheimer disease (AD) pathologies. We wanted to quantify early cerebrovascular health-related magnetic resonance imaging brain measures (structure, perfusion, microstructural integrity) and evaluate their utility as a biomarker for cerebrovascular health. METHODS We used 2 independent samples (discovery, n = 390; validation, n = 1,035) of individuals, aged ≥ 60 years, along the cognitive continuum with imaging from the population-based sample of Mayo Clinic Study of Aging. We ascertained vascular health by summing up recently existing cardiovascular and metabolic conditions (CMC) from health care records (hypertension, hyperlipidemia, cardiac arrhythmias, coronary artery disease, congestive heart failure, diabetes mellitus, and stroke). Using multiple regression models, we quantified associations between CMC and brain health after accounting for age, sex, education/occupation, and AD burden (from amyloid and tau PET). RESULTS Systemic vascular health was associated with medial temporal lobe thinning, widespread cerebral hypoperfusion, and loss of microstructural integrity in several white matter tracts including the corpus callosum and fornix. Further investigations suggested that microstructural integrity of the genu of the corpus callosum was suitable for assessing prodromal cerebrovascular health, had similar distributions in the discovery and independent validation datasets, and predicted cognitive performance above and beyond amyloid deposition. INTERPRETATION Systemic vascular health has significant impact on brain structure and function. Quantifying prodromal cerebrovascular health-related brain measures that are independent of AD pathology-related changes has great utility for cognitive aging. Ann Neurol 2018;84:713-724.
Collapse
Affiliation(s)
| | | | | | | | - Robert I. Reid
- Department of Information TechnologyMayo ClinicRochesterMN
| | - Val J. Lowe
- Department of RadiologyMayo ClinicRochesterMN
| | | | - Matthew L. Senjem
- Department of RadiologyMayo ClinicRochesterMN
- Department of Information TechnologyMayo ClinicRochesterMN
| | | | - Jeffrey L. Gunter
- Department of RadiologyMayo ClinicRochesterMN
- Department of Information TechnologyMayo ClinicRochesterMN
| | | | | | - Michelle M. Mielke
- Department of Health Sciences ResearchMayo ClinicRochesterMN
- Department of NeurologyMayo ClinicRochesterMN
| | | | | | | |
Collapse
|
30
|
Irwin K, Sexton C, Daniel T, Lawlor B, Naci L. Healthy Aging and Dementia: Two Roads Diverging in Midlife? Front Aging Neurosci 2018; 10:275. [PMID: 30283329 PMCID: PMC6156266 DOI: 10.3389/fnagi.2018.00275] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2018] [Accepted: 08/27/2018] [Indexed: 11/13/2022] Open
Abstract
Dementia, particularly Alzheimer’s disease (AD), is a growing pandemic that presents profound challenges to healthcare systems, families, and societies throughout the world. By 2050, the number of people living with dementia worldwide could almost triple, from 47 to 132 million, with associated costs rising to $3 trillion. To reduce the future incidence of dementia, there is an immediate need for interventions that target the disease process from its earliest stages. Research programs are increasingly starting to focus on midlife as a critical period for the beginning of AD-related pathology, yet the indicators of the incipient disease process in asymptomatic individuals remain poorly understood. We address this important knowledge gap by examining evidence for cognitive and structural brain changes that may differentiate, from midlife, healthy aging and pathological AD-related processes. This review crystallizes emerging trends for divergence between the two and highlights current limitations and opportunities for future research in this area.
Collapse
Affiliation(s)
- Katie Irwin
- Department of Neuroscience, University of Georgia, Athens, GA, United States
| | - Claire Sexton
- Memory and Aging Center, Global Brain Health Institute, University of California, San Francisco, San Francisco, CA, United States.,Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Tarun Daniel
- Department of Neuroscience, University of Georgia, Athens, GA, United States
| | - Brian Lawlor
- Mercer's Institute for Successful Ageing, St. James's Hospital, Dublin, Ireland.,The Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Lorina Naci
- The Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland.,School of Psychology, Trinity College Dublin, Dublin, Ireland
| |
Collapse
|
31
|
Anatürk M, Demnitz N, Ebmeier KP, Sexton CE. A systematic review and meta-analysis of structural magnetic resonance imaging studies investigating cognitive and social activity levels in older adults. Neurosci Biobehav Rev 2018; 93:71-84. [PMID: 29940239 PMCID: PMC6562200 DOI: 10.1016/j.neubiorev.2018.06.012] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2018] [Revised: 06/13/2018] [Accepted: 06/15/2018] [Indexed: 11/29/2022]
Abstract
Population aging has prompted considerable interest in identifying modifiable factors that may help protect the brain and its functions. Collectively, epidemiological studies show that leisure activities with high mental and social demands are linked with better cognition in old age. The extent to which socio-intellectual activities relate to the brain's structure is, however, not yet fully understood. This systematic review and meta-analysis summarizes magnetic resonance imaging studies that have investigated whether cognitive and social activities correlate with measures of gray and white matter volume, white matter microstructure and white matter lesions. Across eighteen included studies (total n = 8429), activity levels were associated with whole-brain white matter volume, white matter lesions and regional gray matter volume, although effect sizes were small. No associations were found for global gray matter volume and the evidence concerning white matter microstructure was inconclusive. While the causality of the reviewed associations needs to be established, our findings implicate socio-intellectual activity levels as promising targets for interventions aimed at promoting healthy brain aging.
Collapse
Affiliation(s)
- M Anatürk
- Department of Psychiatry, University of Oxford, Warneford Hospital, Warneford Lane, Oxford, OX3 7JX, United Kingdom
| | - N Demnitz
- Department of Psychiatry, University of Oxford, Warneford Hospital, Warneford Lane, Oxford, OX3 7JX, United Kingdom
| | - K P Ebmeier
- Department of Psychiatry, University of Oxford, Warneford Hospital, Warneford Lane, Oxford, OX3 7JX, United Kingdom
| | - C E Sexton
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Human Brain Activity, Department of Psychaitry, University of Oxford, Warneford Hospital, Warneford Lane, Oxford, OX3 7JX, United Kingdom; Global Brain Health Institute, Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, 94158, USA.
| |
Collapse
|
32
|
Colombo JA. A critical view of the quest for brain structural markers of Albert Einstein's special talents (a pot of gold under the rainbow). Brain Struct Funct 2018; 223:2515-2518. [PMID: 29470677 DOI: 10.1007/s00429-018-1625-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Accepted: 02/08/2018] [Indexed: 10/18/2022]
Abstract
Assertions regarding attempts to link glial and macrostructural brain events with cognitive performance regarding Albert Einstein, are critically reviewed. One basic problem arises from attempting to draw causal relationships regarding complex, delicately interactive functional processes involving finely tuned molecular and connectivity phenomena expressed in cognitive performance, based on highly variable brain structural events of a single, aged, formalin fixed brain. Data weaknesses and logical flaws are considered. In other instances, similar neuroanatomical observations received different interpretations and conclusions, as those drawn, e.g., from schizophrenic brains. Observations on white matter events also raise methodological queries. Additionally, neurocognitive considerations on other intellectual aptitudes of A. Einstein were simply ignored.
Collapse
Affiliation(s)
- Jorge A Colombo
- Unidad de Neurobiología Aplicada (UNA, CEMIC-CONICET), Investigador Principal (CONICET), Buenos Aires, Argentina.
| |
Collapse
|
33
|
Vemuri P, Knopman DS, Jack CR, Lundt ES, Weigand SD, Zuk SM, Thostenson KB, Reid RI, Kantarci K, Slinin Y, Lakshminarayan K, Davey CS, Murray A. Association of Kidney Function Biomarkers with Brain MRI Findings: The BRINK Study. J Alzheimers Dis 2018; 55:1069-1082. [PMID: 27767995 DOI: 10.3233/jad-160834] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Chronic kidney disease (CKD) studies have reported variable prevalence of brain pathologies, in part due to low inclusion of participants with moderate to severe CKD. OBJECTIVE To measure the association between kidney function biomarkers and brain MRI findings in CKD. METHODS In the BRINK (BRain IN Kidney Disease) study, MRI was used to measure gray matter volumes, cerebrovascular pathologies (white matter hyperintensity (WMH), infarctions, microhemorrhages), and microstructural changes using diffusion tensor imaging (DTI). We performed regression analyses with estimated glomerular filtration rate (eGFR) and urine albumin to creatinine ratio (UACR) as primary predictors, and joint models that included both predictors, adjusted for vascular risk factors. RESULTS We obtained 240 baseline MRI scans (150 CKD with eGFR <45 in ml/min/1.73 m2; 16 mild CKD: eGFR 45-59; 74 controls: eGFR≥60). Lower eGFR was associated with greater WMH burden, increased odds of cortical infarctions, and worsening diffusion changes throughout the brain. In eGFR models adjusted for UACR, only cortical infarction associations persisted. However, after adjusting for eGFR, higher UACR provided additional information related to temporal lobe atrophy, increased WMH, and whole brain microstructural changes as measured by increased DTI mean diffusivity. CONCLUSIONS Biomarkers of kidney disease (eGFR and UACR) were associated with MRI brain changes, even after accounting for vascular risk factors. UACR adds unique additional information to eGFR regarding brain structural and diffusion biomarkers. There was a greater impact of kidney function biomarkers on cerebrovascular pathologies and microstructural brain changes, suggesting that cerebrovascular etiology may be the primary driver of cognitive impairment in CKD.
Collapse
Affiliation(s)
| | | | | | - Emily S Lundt
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Stephen D Weigand
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Samantha M Zuk
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | | | - Robert I Reid
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Kejal Kantarci
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Yelena Slinin
- Department of Internal Medicine, Nephrology Division, University of Minnesota, Minneapolis, MN, USA.,Veteran's Affairs Medical Center, Minneapolis, MN, USA
| | - Kamakshi Lakshminarayan
- Department of Neurology, University of Minnesota, Minneapolis, MN, USA.,Division of Epidemiology & Community Health, University of Minnesota School of Public Health, Minneapolis, MN, USA
| | - Cynthia S Davey
- Biostatistical Design and Analysis Center, University of Minnesota Clinical and Translational Science Institute, Minneapolis, MN, USA
| | - Anne Murray
- Berman Center for Clinical Research and Outcomes, Minneapolis Medical Research Foundation, Minneapolis, MN, USA.,Department of Internal Medicine, Geriatrics Division, Hennepin County Medical Center, Minneapolis, MN, USA.,Department of Medicine, University of Minnesota, Minneapolis, MN, USA
| |
Collapse
|
34
|
Alfaro FJ, Gavrieli A, Saade-Lemus P, Lioutas VA, Upadhyay J, Novak V. White matter microstructure and cognitive decline in metabolic syndrome: a review of diffusion tensor imaging. Metabolism 2018; 78:52-68. [PMID: 28920863 PMCID: PMC5732847 DOI: 10.1016/j.metabol.2017.08.009] [Citation(s) in RCA: 71] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2017] [Revised: 08/18/2017] [Accepted: 08/22/2017] [Indexed: 12/13/2022]
Abstract
Metabolic syndrome is a cluster of cardiovascular risk factors defined by the presence of abdominal obesity, glucose intolerance, hypertension and/or dyslipidemia. It is a major public health epidemic worldwide, and a known risk factor for the development of cognitive dysfunction and dementia. Several studies have demonstrated a positive association between the presence of metabolic syndrome and worse cognitive outcomes, however, evidence of brain structure pathology is limited. Diffusion tensor imaging has offered new opportunities to detect microstructural white matter changes in metabolic syndrome, and a possibility to detect associations between functional and structural abnormalities. This review analyzes the impact of metabolic syndrome on white matter microstructural integrity, brain structure abnormalities and their relationship to cognitive function. Each of the metabolic syndrome components exerts a specific signature of white matter microstructural abnormalities. Metabolic syndrome and its components exert both additive/synergistic, as well as, independent effects on brain microstructure thus accelerating brain aging and cognitive decline.
Collapse
Affiliation(s)
- Freddy J Alfaro
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 185 Pilgrim Road, Palmer 127, Boston, MA 02215, USA.
| | - Anna Gavrieli
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 185 Pilgrim Road, Palmer 127, Boston, MA 02215, USA.
| | - Patricia Saade-Lemus
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 185 Pilgrim Road, Palmer 127, Boston, MA 02215, USA.
| | - Vasileios-Arsenios Lioutas
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 185 Pilgrim Road, Palmer 127, Boston, MA 02215, USA.
| | - Jagriti Upadhyay
- Department of Endocrinology, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave, Boston, MA 02215,USA.
| | - Vera Novak
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 185 Pilgrim Road, Palmer 127, Boston, MA 02215, USA.
| |
Collapse
|
35
|
Daugherty AM, Raz N. Incident risk and progression of cerebral microbleeds in healthy adults: a multi-occasion longitudinal study. Neurobiol Aging 2017; 59:22-29. [PMID: 28800410 PMCID: PMC5612885 DOI: 10.1016/j.neurobiolaging.2017.07.003] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Revised: 06/24/2017] [Accepted: 07/10/2017] [Indexed: 12/21/2022]
Abstract
Decline in cerebrovascular health complicates brain aging, and development of cerebral microbleeds (CMBs) is one of its prominent indicators. In a large sample of healthy adults (N = 251, age 18-78 years at baseline, 70% women), the contributions of chronological age and vascular health indicators to the risk of developing a CMB, as well as the change in CMB size and iron content, were examined in a prospective 8-year longitudinal study using susceptibility weighted imaging. Twenty-six persons (10.4%), most of whom were 40 years of age or older, had at least 1 CMB during the study. Older age was associated with greater risk for developing a CMB (odds ratio 1.03). Elevation of combined metabolic syndrome indicators (b = 0.15, p = 0.001) conferred additional risk (odds ratio 1.02). High body mass index exacerbated the risk associated with poor vascular health (b = 0.75, p < 0.001) and frequent exercise mitigated it (b = -0.46, p = 0.03). CMBs persisted over time, yet their volume decreased (mean change = -0.32, p < 0.05), whereas their relative iron content remained stable (mean change = -0.14, p = 0.05). We conclude that although developing a CMB is unlikely during normal aging, risk increases with declining vascular health, which is modifiable via behavioral and pharmaceutical intervention.
Collapse
Affiliation(s)
- Ana M Daugherty
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA.
| | - Naftali Raz
- Department of Psychology and Institute of Gerontology, Wayne State University, Detroit, MI, USA; Max Planck Institute for Human Development, Berlin, Germany
| |
Collapse
|
36
|
Ryu CW, Coutu JP, Greka A, Rosas HD, Jahng GH, Rosen BR, Salat DH. Differential associations between systemic markers of disease and white matter tissue health in middle-aged and older adults. J Cereb Blood Flow Metab 2017; 37:3568-3579. [PMID: 27298238 PMCID: PMC5669337 DOI: 10.1177/0271678x16653613] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Age-associated cerebrovascular disease impacts brain tissue integrity, but other factors, including normal variation in blood markers of systemic health, may also influence the structural integrity of the brain. This cross-sectional study included 139 individuals between 40 to 86 years old who were physically healthy and cognitively intact. Eleven markers (total-cholesterol, high-density lipoprotein, low-density lipoprotein, triglyceride, insulin, fasting glucose, glycated hemoglobin, creatinine, blood urea nitrogen, albumin, total protein) and five derived indicators (estimated glomerular filtration rate, creatinine clearance rate, insulin-resistance, average glucose, and cholesterol/high-density lipoprotein ratio) were obtained from blood sampling. Diffusion tensor imaging was used to evaluate white matter tissue health. Blood markers were clustered into five factors. The first factor (defined as insulin/high-density lipoprotein factor) was associated with markers of integrity in the deep white matter and projection fiber systems, while the third factor (defined as kidney function factor) was associated with different markers of integrity in the periventricular and watershed white matter regions. Differential segregated associations for insulin and high-density lipoprotein levels and serum markers of kidney function may provide information about distinct mechanisms of brain changes across the lifespan. These results emphasize the need to determine whether therapeutic modulation of systemic health and organ function may prevent decline in brain structural integrity.
Collapse
Affiliation(s)
- Chang-Woo Ryu
- 1 MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.,2 Department of Radiology, School of Medicine, Kyung Hee University, Kyung Hee University Hospital at Gangdong, Seoul, Republic of Korea
| | - Jean-Philippe Coutu
- 1 MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.,3 Harvard-Massachusetts Institute of Technology Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Anna Greka
- 4 Renal Division, Department of Medicine, Glom-NExT Center, Brigham and Women's Hospital, Boston MA, USA.,5 Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - H Diana Rosas
- 1 MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.,6 Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Geon-Ho Jahng
- 2 Department of Radiology, School of Medicine, Kyung Hee University, Kyung Hee University Hospital at Gangdong, Seoul, Republic of Korea
| | - Bruce R Rosen
- 1 MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.,7 Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - David H Salat
- 1 MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.,7 Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,8 Neuroimaging Research for Veterans Center, VA Boston Healthcare System, Boston, MA, USA
| |
Collapse
|
37
|
Raz N, Daugherty AM. Pathways to Brain Aging and Their Modifiers: Free-Radical-Induced Energetic and Neural Decline in Senescence (FRIENDS) Model - A Mini-Review. Gerontology 2017; 64:49-57. [PMID: 28858861 DOI: 10.1159/000479508] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2017] [Accepted: 07/15/2017] [Indexed: 12/19/2022] Open
Abstract
In this mini-review, we survey the extant literature on brain aging, with the emphasis on longitudinal studies of neuroanatomy, including regional brain volumes and white matter microstructure. We assess the impact of vascular, metabolic, and inflammatory risk factors on the trajectories of change in regional brain volumes and white matter properties, as well as the relationships between neuroanatomical and physiological changes and their influence on cognitive performance. We examine these findings in the context of current biological theories of aging and propose the means of integrating noninvasive measures - spectroscopic indices of brain energy metabolism and regional iron deposits - as valuable proxies for elucidating the basic neurobiology of human brain aging. In a brief summary of the recent findings pertaining to age-related changes in the brain structure and their impact on cognition, we discuss the role of vascular, metabolic, and inflammatory risk factors in shaping the trajectories of change. Drawing on the extant biological theories of aging and mindful of the brain's role as a disproportionately voracious energy consumer in mammals, we emphasize the importance of the fundamental bioenergetic mechanisms as drivers of age-related changes in brain structure and function. We sketch out a model that builds on the conceptualization of aging as an expression of cumulative cellular damage inflicted by reactive oxygen species and ensuing declines in energy metabolism. We outline the ways and means of adapting this model, Free-Radical-Induced Energetic and Neural Decline in Senescence (FRIENDS), to human aging and testing it within the constraints of noninvasive neuroimaging.
Collapse
Affiliation(s)
- Naftali Raz
- Institute of Gerontology, Wayne State University, Detroit, MI, USA
| | | |
Collapse
|
38
|
Fjell AM, Sneve MH, Grydeland H, Storsve AB, Walhovd KB. The Disconnected Brain and Executive Function Decline in Aging. Cereb Cortex 2017; 27:2303-2317. [PMID: 27073220 DOI: 10.1093/cercor/bhw082] [Citation(s) in RCA: 89] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Higher order speeded cognitive abilities depend on efficient coordination of activity across the brain, rendering them vulnerable to age reductions in structural and functional brain connectivity. The concept of "disconnected aging" has been invoked, suggesting that degeneration of connections between distant brain regions cause cognitive reductions. However, it has not been shown that changes in cognitive functions over time can be explained by simultaneous changes in brain connectivity. We followed 119 young and middle-aged (23-52 years) and older (63-86 years) adults for 3.3 years with repeated assessments of structural and functional brain connectivity and executive functions. We found unique age-related longitudinal reductions in executive function over and above changes in more basic cognitive processes. Intriguingly, 82.5% of the age-related decline in executive function could be explained by changes in connectivity over time. While both structural and functional connectivity changes were related to longitudinal reductions in executive function, only structural connectivity change could explain the age-specific decline. This suggests that the major part of the age-related reductions in executive function can be attributed to micro- and macrostructural alterations in brain connectivity. Although correlational in nature, we believe the present results constitute evidence for a "disconnected brain" view on cognitive aging.
Collapse
Affiliation(s)
- Anders M Fjell
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo 0373, Norway.,Department of Physical Medicine and Rehabilitation, Unit of Neuropsychology, Oslo University Hospital, Oslo, Norway
| | - Markus H Sneve
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo 0373, Norway
| | - Håkon Grydeland
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo 0373, Norway
| | - Andreas B Storsve
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo 0373, Norway
| | - Kristine B Walhovd
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo 0373, Norway.,Department of Physical Medicine and Rehabilitation, Unit of Neuropsychology, Oslo University Hospital, Oslo, Norway
| |
Collapse
|
39
|
Birdsill AC, Oleson S, Kaur S, Pasha E, Ireton A, Tanaka H, Haley A. Abdominal obesity and white matter microstructure in midlife. Hum Brain Mapp 2017; 38:3337-3344. [PMID: 28390146 DOI: 10.1002/hbm.23576] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2016] [Revised: 03/08/2017] [Accepted: 03/09/2017] [Indexed: 12/12/2022] Open
Abstract
The aging U.S. population and the recent rise in the prevalence of obesity are two phenomena of great importance to public health. In addition, research suggests that midlife body mass index (BMI) is a risk factor for dementia, a particularly costly disease, in later life. BMI could influence brain health by adversely impacting cerebral white matter. Recently, greater BMI has been associated with lower white matter fractional anisotropy (FA), an index of tissue microstructure, as measured by diffusion-tensor imaging in midlife. The aim of this study was to investigate the role of abdominal obesity, the most metabolically active adipose tissue compartment, and white matter microstructure in midlife. Community dwelling participants (N = 168) between the ages of 40-62 underwent MRI scanning at 3T and a general health assessment. Inferences were made on whole brain white matter tracts using full-tensor, high-dimension normalization, and tract-based spatial statistics. Higher waist circumference was associated with higher FA, indicating more directional diffusion in several white matter tracts controlling for age, sex, triglycerides, systolic blood pressure, fasting glucose, and HDL-cholesterol. Post hoc analysis revealed that greater waist circumference was associated with lower axial diffusivity, indicating lower parallel diffusion; lower radial diffusivity, indicating lower perpendicular diffusion; and lower mean diffusivity, indicating restricted diffusion. This is the first study to report a positive relationship between obesity and FA, indicating a more complicated view of this relationship in the aging brain. Hum Brain Mapp 38:3337-3344, 2017. © 2017 Wiley Periodicals, Inc.
Collapse
Affiliation(s)
- Alex Cole Birdsill
- Department of Psychology, The University of Texas at Austin, Austin, Texas
| | - Stephanie Oleson
- Department of Psychology, The University of Texas at Austin, Austin, Texas
| | - Sonya Kaur
- Department of Psychology, The University of Texas at Austin, Austin, Texas
| | - Evan Pasha
- Department of Kinesiology & Health Education, The University of Texas at Austin, Austin, Texas
| | - Adele Ireton
- Department of Psychology, The University of Texas at Austin, Austin, Texas
| | - Hirofumi Tanaka
- Department of Kinesiology & Health Education, The University of Texas at Austin, Austin, Texas
| | - Andreana Haley
- Department of Psychology, The University of Texas at Austin, Austin, Texas
| |
Collapse
|
40
|
Gorbach T, Pudas S, Lundquist A, Orädd G, Josefsson M, Salami A, de Luna X, Nyberg L. Longitudinal association between hippocampus atrophy and episodic-memory decline. Neurobiol Aging 2017; 51:167-176. [DOI: 10.1016/j.neurobiolaging.2016.12.002] [Citation(s) in RCA: 91] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2016] [Revised: 12/01/2016] [Accepted: 12/04/2016] [Indexed: 12/22/2022]
|
41
|
Cox SR, Ritchie SJ, Tucker-Drob EM, Liewald DC, Hagenaars SP, Davies G, Wardlaw JM, Gale CR, Bastin ME, Deary IJ. Ageing and brain white matter structure in 3,513 UK Biobank participants. Nat Commun 2016; 7:13629. [PMID: 27976682 PMCID: PMC5172385 DOI: 10.1038/ncomms13629] [Citation(s) in RCA: 285] [Impact Index Per Article: 35.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2016] [Accepted: 10/18/2016] [Indexed: 12/26/2022] Open
Abstract
Quantifying the microstructural properties of the human brain's connections is necessary for understanding normal ageing and disease. Here we examine brain white matter magnetic resonance imaging (MRI) data in 3,513 generally healthy people aged 44.64–77.12 years from the UK Biobank. Using conventional water diffusion measures and newer, rarely studied indices from neurite orientation dispersion and density imaging, we document large age associations with white matter microstructure. Mean diffusivity is the most age-sensitive measure, with negative age associations strongest in the thalamic radiation and association fibres. White matter microstructure across brain tracts becomes increasingly correlated in older age. This may reflect an age-related aggregation of systemic detrimental effects. We report several other novel results, including age associations with hemisphere and sex, and comparative volumetric MRI analyses. Results from this unusually large, single-scanner sample provide one of the most extensive characterizations of age associations with major white matter tracts in the human brain.
Part of understanding ageing involves knowing how the brain's connecting pathways change in healthy aging. Here, authors provide a detailed characterisation of data from 3513 UK Biobank participants, and show that the microstructure of these pathways becomes more similar with age.
Collapse
Affiliation(s)
- Simon R Cox
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK.,Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK.,Scottish Imaging Network, a Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh EH8 9JZ, UK
| | - Stuart J Ritchie
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK.,Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | | | - David C Liewald
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK.,Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Saskia P Hagenaars
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK.,Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK.,Division of Psychiatry, University of Edinburgh, Edinburgh EH10 5HF, UK
| | - Gail Davies
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK.,Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Joanna M Wardlaw
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK.,Scottish Imaging Network, a Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh EH8 9JZ, UK.,Brain Research Imaging Centre, Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Catharine R Gale
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK.,Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK.,MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton SO17 1BJ, UK
| | - Mark E Bastin
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK.,Scottish Imaging Network, a Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh EH8 9JZ, UK.,Brain Research Imaging Centre, Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK.,Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| |
Collapse
|
42
|
Demerath T, Simon-Gabriel CP, Kellner E, Schwarzwald R, Lange T, Heiland DH, Reinacher P, Staszewski O, Mast H, Kiselev VG, Egger K, Urbach H, Weyerbrock A, Mader I. Mesoscopic imaging of glioblastomas: Are diffusion, perfusion and spectroscopic measures influenced by the radiogenetic phenotype? Neuroradiol J 2016; 30:36-47. [PMID: 27864578 DOI: 10.1177/1971400916678225] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
The purpose of this study was to identify markers from perfusion, diffusion, and chemical shift imaging in glioblastomas (GBMs) and to correlate them with genetically determined and previously published patterns of structural magnetic resonance (MR) imaging. Twenty-six patients (mean age 60 years, 13 female) with GBM were investigated. Imaging consisted of native and contrast-enhanced 3D data, perfusion, diffusion, and spectroscopic imaging. In the presence of minor necrosis, cerebral blood volume (CBV) was higher (median ± SD, 2.23% ± 0.93) than in pronounced necrosis (1.02% ± 0.71), pcorr = 0.0003. CBV adjacent to peritumoral fluid-attenuated inversion recovery (FLAIR) hyperintensity was lower in edema (1.72% ± 0.31) than in infiltration (1.91% ± 0.35), pcorr = 0.039. Axial diffusivity adjacent to peritumoral FLAIR hyperintensity was lower in severe mass effect (1.08*10-3 mm2/s ± 0.08) than in mild mass effect (1.14*10-3 mm2/s ± 0.06), pcorr = 0.048. Myo-inositol was positively correlated with a marker for mitosis (Ki-67) in contrast-enhancing tumor, r = 0.5, pcorr = 0.0002. Changed CBV and axial diffusivity, even outside FLAIR hyperintensity, in adjacent normal-appearing matter can be discussed as to be related to angiogenesis pathways and to activated proliferation genes. The correlation between myo-inositol and Ki-67 might be attributed to its binding to cell surface receptors regulating tumorous proliferation of astrocytic cells.
Collapse
Affiliation(s)
- Theo Demerath
- 1 Department of Neuroradiology, Medical Centre-University of Freiburg, Germany.,2 Department of Radiology, University Medical Centre Basel, Switzerland.,3 Faculty of Medicine, University of Freiburg, Germany
| | - Carl Philipp Simon-Gabriel
- 1 Department of Neuroradiology, Medical Centre-University of Freiburg, Germany.,3 Faculty of Medicine, University of Freiburg, Germany
| | - Elias Kellner
- 3 Faculty of Medicine, University of Freiburg, Germany.,4 Medical Physics, Department of Radiology, Medical Centre-University of Freiburg, Germany
| | - Ralf Schwarzwald
- 1 Department of Neuroradiology, Medical Centre-University of Freiburg, Germany.,3 Faculty of Medicine, University of Freiburg, Germany
| | - Thomas Lange
- 3 Faculty of Medicine, University of Freiburg, Germany.,4 Medical Physics, Department of Radiology, Medical Centre-University of Freiburg, Germany
| | - Dieter Henrik Heiland
- 3 Faculty of Medicine, University of Freiburg, Germany.,5 Department of Neurosurgery, Medical Centre-University of Freiburg, Germany
| | - Peter Reinacher
- 3 Faculty of Medicine, University of Freiburg, Germany.,6 Department of Functional and Stereotactic Neurosurgery, Medical Centre-University of Freiburg, Germany
| | - Ori Staszewski
- 3 Faculty of Medicine, University of Freiburg, Germany.,7 Institute of Neuropathology, Medical Centre-University of Freiburg, Germany
| | - Hansjörg Mast
- 1 Department of Neuroradiology, Medical Centre-University of Freiburg, Germany.,3 Faculty of Medicine, University of Freiburg, Germany
| | - Valerij G Kiselev
- 3 Faculty of Medicine, University of Freiburg, Germany.,4 Medical Physics, Department of Radiology, Medical Centre-University of Freiburg, Germany
| | - Karl Egger
- 1 Department of Neuroradiology, Medical Centre-University of Freiburg, Germany.,3 Faculty of Medicine, University of Freiburg, Germany
| | - Horst Urbach
- 1 Department of Neuroradiology, Medical Centre-University of Freiburg, Germany.,3 Faculty of Medicine, University of Freiburg, Germany
| | - Astrid Weyerbrock
- 3 Faculty of Medicine, University of Freiburg, Germany.,5 Department of Neurosurgery, Medical Centre-University of Freiburg, Germany
| | - Irina Mader
- 1 Department of Neuroradiology, Medical Centre-University of Freiburg, Germany.,3 Faculty of Medicine, University of Freiburg, Germany
| |
Collapse
|
43
|
Arshad M, Stanley JA, Raz N. Adult age differences in subcortical myelin content are consistent with protracted myelination and unrelated to diffusion tensor imaging indices. Neuroimage 2016; 143:26-39. [PMID: 27561713 DOI: 10.1016/j.neuroimage.2016.08.047] [Citation(s) in RCA: 79] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2016] [Revised: 08/15/2016] [Accepted: 08/21/2016] [Indexed: 01/23/2023] Open
Abstract
Post mortem studies suggest protracted myelination of subcortical white matter into the middle age followed by gradual decline in the late adulthood. To date, however, establishing the proposed inverted-U pattern of age-myelin association proved difficult, as the most common method of investigating white matter, diffusion tensor imaging (DTI), usually reveals only linear associations between DTI indices and age among healthy adults. Here we use a novel method of estimating Myelin Water Fraction (MWF) based on modeling the short spin-spin (T2) relaxation component from multi-echo T2 relaxation imaging data and assess subcortical myelin content within six white matter tracts in a sample of healthy adults (N=61, age 18-84 years). Myelin content evidenced a quadratic relationship with age, in accord with the pattern observed postmortem studies. In contrast, DTI-derived indices that are frequently cited as proxies for myelination, fractional anisotropy (FA) and radial diffusivity (RD), exhibited linear or null relationships with age. Furthermore, the magnitude of age differences in MWF varied across the white matter tracts. Myelin content estimated by MWF was unrelated to FA and correlated with RD only in the splenium. These findings are consistent with the notion that myelination continues throughout the young adulthood into the middle age. The results demonstrate that single-tensor DTI cannot serve as a source of specific proxies for myelination of white matter tracts.
Collapse
Affiliation(s)
- Muzamil Arshad
- Department of Psychiatry & Behavioral Neurosciences, School of Medicine, Wayne State University, Detroit, MI, United States; Institute of Gerontology, Wayne State University, Detroit, MI, United States
| | - Jeffrey A Stanley
- Department of Psychiatry & Behavioral Neurosciences, School of Medicine, Wayne State University, Detroit, MI, United States
| | - Naftali Raz
- Institute of Gerontology, Wayne State University, Detroit, MI, United States; Department of Psychology, Wayne State University, Detroit, MI, United States.
| |
Collapse
|
44
|
Rieckmann A, Van Dijk KRA, Sperling RA, Johnson KA, Buckner RL, Hedden T. Accelerated decline in white matter integrity in clinically normal individuals at risk for Alzheimer's disease. Neurobiol Aging 2016; 42:177-88. [PMID: 27143434 PMCID: PMC4857135 DOI: 10.1016/j.neurobiolaging.2016.03.016] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2015] [Revised: 03/13/2016] [Accepted: 03/14/2016] [Indexed: 12/19/2022]
Abstract
Prior studies have identified white matter abnormalities in Alzheimer's disease (AD). Yet, cross-sectional studies in normal older individuals show little evidence for an association between markers of AD risk (APOE4 genotype and amyloid deposition), and white matter integrity. Here, 108 normal older adults (age, 66-87) with assessments of apolipoprotein e4 (APOE4) genotype and assessment of amyloid burden by positron emission tomography underwent diffusion tensor imaging scans for measuring white matter integrity at 2 time points, on average 2.6 years apart. Linear mixed-effects models showed that amyloid burden at baseline was associated with steeper decline in fractional anisotropy in the parahippocampal cingulum (p < 0.05). This association was not significant between baseline measures suggesting that longitudinal analyses can provide novel insights that are not detectable in cross-sectional designs. Amyloid-related changes in hippocampus volume did not explain the association between amyloid burden and change in fractional anisotropy. The results suggest that accumulation of cortical amyloid and white matter changes in parahippocampal cingulum are not independent processes in individuals at increased risk for AD.
Collapse
Affiliation(s)
- Anna Rieckmann
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA; Department of Radiation Sciences, Diagnostic Radiology, Umeå University, Umeå, Sweden
| | - Koene R A Van Dijk
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA; Department of Psychology and Center for Brain Science, Harvard University, Cambridge, MA, USA
| | - Reisa A Sperling
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA; Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Keith A Johnson
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Randy L Buckner
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA; Department of Psychology and Center for Brain Science, Harvard University, Cambridge, MA, USA; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Trey Hedden
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
| |
Collapse
|
45
|
Bender AR, Prindle JJ, Brandmaier AM, Raz N. White matter and memory in healthy adults: Coupled changes over two years. Neuroimage 2016; 131:193-204. [PMID: 26545457 PMCID: PMC4848116 DOI: 10.1016/j.neuroimage.2015.10.085] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2015] [Revised: 10/06/2015] [Accepted: 10/29/2015] [Indexed: 11/16/2022] Open
Abstract
Numerous cross-sectional studies have used diffusion tensor imaging (DTI) to link age-related differences in white matter (WM) anisotropy and concomitant decrements in cognitive ability. Due to a dearth of longitudinal evidence, the relationship between changes in diffusion properties of WM and cognitive performance remains unclear. Here we examine the relationship between two-year changes in WM organization and cognitive performance in healthy adults (N=96, age range at baseline=18-79 years). We used latent change score models (LCSM) to evaluate changes in age-sensitive cognitive abilities - fluid intelligence and associative memory. WM changes were assessed by fractional anisotropy (FA), axial diffusivity (AD), and radial diffusivity (RD) in WM regions that are considered part of established memory networks and exhibited individual differences in change. In modeling change, we postulated reciprocal paths between baseline measures and change factors, within and between WM and cognition domains, and accounted for individual differences in baseline age. Although baseline cross-sectional memory performance was positively associated with FA and negatively with RD, longitudinal effects told an altogether different story. Independent of age, longitudinal improvements in associative memory were significantly associated with linear reductions in FA and increases in RD. The present findings demonstrate the sensitivity of DTI-derived indices to changes in the brain and cognition and affirm the importance of longitudinal models for evaluating brain-cognition relations.
Collapse
Affiliation(s)
- Andrew R Bender
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.
| | - John J Prindle
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Andreas M Brandmaier
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
| | - Naftali Raz
- Institute of Gerontology & Department of Psychology, Wayne State University, Detroit, MI, USA
| |
Collapse
|
46
|
Three-year changes in leisure activities are associated with concurrent changes in white matter microstructure and perceptual speed in individuals aged 80 years and older. Neurobiol Aging 2016; 41:173-186. [DOI: 10.1016/j.neurobiolaging.2016.02.013] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2015] [Revised: 01/26/2016] [Accepted: 02/10/2016] [Indexed: 01/08/2023]
|
47
|
Bender AR, Völkle MC, Raz N. Differential aging of cerebral white matter in middle-aged and older adults: A seven-year follow-up. Neuroimage 2016; 125:74-83. [PMID: 26481675 PMCID: PMC4691398 DOI: 10.1016/j.neuroimage.2015.10.030] [Citation(s) in RCA: 86] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2015] [Revised: 09/30/2015] [Accepted: 10/12/2015] [Indexed: 11/22/2022] Open
Abstract
The few extant reports of longitudinal white matter (WM) changes in healthy aging, using diffusion tensor imaging (DTI), reveal substantial differences in change across brain regions and DTI indices. According to the "last-in-first-out" hypothesis of brain aging late-developing WM tracts may be particularly vulnerable to advanced age. To test this hypothesis we compared age-related changes in association, commissural and projection WM fiber regions using a skeletonized, region of interest DTI approach. Using linear mixed effect models, we evaluated the influences of age and vascular risk at baseline on seven-year changes in three indices of WM integrity and organization (axial diffusivity, AD, radial diffusivity, RD, and fractional anisotropy, FA) in healthy middle-aged and older adults (mean age=65.4, SD=9.0years). Association fibers showed the most pronounced declines over time. Advanced age was associated with greater longitudinal changes in RD and FA, independent of fiber type. Furthermore, older age was associated with longitudinal RD increases in late-developing, but not early-developing projection fibers. These findings demonstrate the increased vulnerability of later developing WM regions and support the "last-in-first-out" hypothesis of brain aging.
Collapse
Affiliation(s)
- Andrew R Bender
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Germany.
| | - Manuel C Völkle
- Department of Psychology, Humboldt University, Max Planck Institute for Human Development, Germany; Center for Lifespan Psychology, Max Planck Institute for Human Development, Germany
| | - Naftali Raz
- Institute of Gerontology & Department of Psychology, Wayne State University, USA
| |
Collapse
|
48
|
Appraising the Role of Iron in Brain Aging and Cognition: Promises and Limitations of MRI Methods. Neuropsychol Rev 2015; 25:272-87. [PMID: 26248580 DOI: 10.1007/s11065-015-9292-y] [Citation(s) in RCA: 85] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2015] [Accepted: 07/24/2015] [Indexed: 12/11/2022]
Abstract
Age-related increase in frailty is accompanied by a fundamental shift in cellular iron homeostasis. By promoting oxidative stress, the intracellular accumulation of non-heme iron outside of binding complexes contributes to chronic inflammation and interferes with normal brain metabolism. In the absence of direct non-invasive biomarkers of brain oxidative stress, iron accumulation estimated in vivo may serve as its proxy indicator. Hence, developing reliable in vivo measurements of brain iron content via magnetic resonance imaging (MRI) is of significant interest in human neuroscience. To date, by estimating brain iron content through various MRI methods, significant age differences and age-related increases in iron content of the basal ganglia have been revealed across multiple samples. Less consistent are the findings that pertain to the relationship between elevated brain iron content and systemic indices of vascular and metabolic dysfunction. Only a handful of cross-sectional investigations have linked high iron content in various brain regions and poor performance on assorted cognitive tests. The even fewer longitudinal studies indicate that iron accumulation may precede shrinkage of the basal ganglia and thus predict poor maintenance of cognitive functions. This rapidly developing field will benefit from introduction of higher-field MRI scanners, improvement in iron-sensitive and -specific acquisition sequences and post-processing analytic and computational methods, as well as accumulation of data from long-term longitudinal investigations. This review describes the potential advantages and promises of MRI-based assessment of brain iron, summarizes recent findings and highlights the limitations of the current methodology.
Collapse
|
49
|
Hakun JG, Zhu Z, Brown CA, Johnson NF, Gold BT. Longitudinal alterations to brain function, structure, and cognitive performance in healthy older adults: A fMRI-DTI study. Neuropsychologia 2015; 71:225-35. [PMID: 25862416 DOI: 10.1016/j.neuropsychologia.2015.04.008] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2015] [Revised: 04/06/2015] [Accepted: 04/07/2015] [Indexed: 10/23/2022]
Abstract
Cross-sectional research has shown that older adults tend to have different frontal cortex activation patterns, poorer brain structure, and lower task performance than younger adults. However, relationships between longitudinal changes in brain function, brain structure, and cognitive performance in older adults are less well understood. Here we present the results of a longitudinal, combined fMRI-DTI study in cognitive normal (CN) older adults. A two time-point study was conducted in which participants completed a task switching paradigm while fMRI data was collected and underwent the identical scanning protocol an average of 3.3 years later (SD=2 months). We observed longitudinal fMRI activation increases in bilateral regions of lateral frontal cortex at time point 2. These fMRI activation increases were associated with longitudinal declines in WM microstructure in a portion of the corpus callosum connecting the increasingly recruited frontal regions. In addition, the fMRI activation increase in the left VLPFC was associated with longitudinal increases in response latencies. Taken together, our results suggest that local frontal activation increases in CN older adults may in part reflect a response to reduced inter-hemispheric signaling mechanisms.
Collapse
Affiliation(s)
| | - Zude Zhu
- Department of Anatomy and Neurobiology, USA
| | | | | | - Brian T Gold
- Department of Anatomy and Neurobiology, USA; Magnetic Resonance Imaging and Spectroscopy Center, USA; Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40536, USA.
| |
Collapse
|
50
|
Macro- and micro-structural white matter differences correlate with cognitive performance in healthy aging. Brain Imaging Behav 2015; 10:168-81. [DOI: 10.1007/s11682-015-9378-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
|