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Hsu CL, Holtzer R, Tam RC, Al Keridy W, Liu-Ambrose T. Physical reserve and its underpinning functional neural networks moderate the relationship between white matter hyperintensity and postural balance in older adults with subcortical ischemic vascular cognitive impairment. Sci Rep 2024; 14:17161. [PMID: 39060551 PMCID: PMC11282073 DOI: 10.1038/s41598-024-68050-1] [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: 05/03/2024] [Accepted: 07/18/2024] [Indexed: 07/28/2024] Open
Abstract
White matter hyperintensities (WMH) are markers of subcortical ischemic vascular cognitive impairment (SIVCI) associated with impaired postural balance. Physical reserve (PR) is a recently established construct that reflects one's capacity to maintain physical function despite brain pathology. This cross-sectional study aims to map functional networks associated with PR, and examining the relationship between PR, WMH, and postural balance. PR was defined in 22 community-dwelling older adults with SIVCI. Functional networks of PR were computed using general linear model. Subsequent analyses examined whether PR and relevant networks moderated the relationship between WMH and postural balance under two conditions-eyes open while standing on foam (EOF) or on floor (EONF). We found that PR and the relevant networks-frontoparietal network (FPN) and default mode network (DMN)-significantly moderated the association between WMH and postural balance. For individuals with high PR, postural balance remained stable regardless of the extent of WMH load; whereas for those with low PR, postural balance worsened as WMH load increased. These results suggest the attenuated effects of WMH on postural stability due to PR may be underpinned by functional neural network reorganization in the FPN and DMN as a part of compensatory processes.
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Affiliation(s)
- Chun Liang Hsu
- The Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong, SAR, China.
| | - Roee Holtzer
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
- Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY, USA
| | - Roger C Tam
- Djavad Mowafaghian Centre for Brain Health, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
- Department of Radiology, University of British Columbia, Vancouver, BC, Canada
- School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada
- Centre for Aging SMART at Vancouver Coastal Health, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada
| | - Walid Al Keridy
- Djavad Mowafaghian Centre for Brain Health, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
- Division of Neurology, University of British Columbia Hospital, Vancouver, BC, Canada
- Geriatric Division, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
- Department of Medicine, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Teresa Liu-Ambrose
- Djavad Mowafaghian Centre for Brain Health, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
- Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
- Centre for Aging SMART at Vancouver Coastal Health, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada
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Levy SA, Misiura MB, Grant JG, Adrien TV, Taiwo Z, Armstrong R, Dotson VM. Depression, Vascular Burden, and Dementia Prevalence in Late Middle-Aged and Older Black Adults. J Gerontol B Psychol Sci Soc Sci 2024; 79:gbae009. [PMID: 38374692 PMCID: PMC10926943 DOI: 10.1093/geronb/gbae009] [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: 06/20/2023] [Indexed: 02/21/2024] Open
Abstract
OBJECTIVES Late-life depression and white matter hyperintensities (WMH) have been linked to increased dementia risk. However, there is a dearth of literature examining these relationships in Black adults. We investigated whether depression or WMH volume are associated with a higher likelihood of dementia diagnosis in a sample of late middle-aged to older Black adults, and whether dementia prevalence is highest in individuals with both depression and higher WMH volume. METHODS Secondary data analysis involved 443 Black participants aged 55+ with brain imaging within 1 year of baseline visit in the National Alzheimer's Coordinating Center Uniform Data Set. Chi-square analyses and logistic regression models controlling for demographic variables examined whether active depression in the past 2 years, WMH volume, or their combination were associated with higher odds of all-cause dementia. RESULTS Depression and higher WMH volume were associated with a higher prevalence of dementia. These associations remained after controlling for demographic factors, as well as vascular disease burden. Dementia risk was highest in the depression/high WMH volume group compared to the depression-only group, high WMH volume-only group, and the no depression/low WMH volume group. Post hoc analyses comparing the Black sample to a demographically matched non-Hispanic White sample showed associations of depression and the combination of depression and higher WMH burden with dementia were greater in Black compared to non-Hispanic White individuals. DISCUSSION Results suggest late-life depression and WMH have independent and joint relationships with dementia and that Black individuals may be particularly at risk due to these factors.
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Affiliation(s)
- Shellie-Anne Levy
- Department of Clinical and Health Psychology, The Center for Cognitive Aging and Memory, University of Florida, Gainesville, Florida, USA
- The Center for Cognitive Aging and Memory, University of Florida, Gainesville, Florida, USA
| | - Maria B Misiura
- Department of Psychology, Georgia State University, Atlanta, Georgia, USA
| | - Jeremy G Grant
- Department of Clinical and Health Psychology, The Center for Cognitive Aging and Memory, University of Florida, Gainesville, Florida, USA
| | - Tamare V Adrien
- Department of Clinical and Health Psychology, The Center for Cognitive Aging and Memory, University of Florida, Gainesville, Florida, USA
| | - Zinat Taiwo
- Department of Rehabilitation Psychology and Neuropsychology, TIRR Memorial Hermann, Houston, Texas, USA
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, Texas, USA
| | - Rebecca Armstrong
- Department of Clinical and Health Psychology, The Center for Cognitive Aging and Memory, University of Florida, Gainesville, Florida, USA
| | - Vonetta M Dotson
- Department of Psychology, Georgia State University, Atlanta, Georgia, USA
- Gerontology Institute, Georgia State University, Atlanta, Georgia, USA
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3
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Groechel RC, Tripodis Y, Alosco ML, Mez J, Qiao Qiu W, Goldstein L, Budson AE, Kowall NW, Shaw LM, Weiner M, Jack CR, Killiany RJ. Biomarkers of Alzheimer's disease in Black and/or African American Alzheimer's Disease Neuroimaging Initiative (ADNI) participants. Neurobiol Aging 2023; 131:144-152. [PMID: 37639768 PMCID: PMC10528881 DOI: 10.1016/j.neurobiolaging.2023.07.021] [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: 03/17/2023] [Revised: 07/03/2023] [Accepted: 07/18/2023] [Indexed: 08/31/2023]
Abstract
Majority of dementia research is conducted in non-Hispanic White participants despite a greater prevalence of dementia in other racial groups. To obtain a better understanding of biomarker presentation of Alzheimer's disease (AD) in the non-Hispanic White population, this study exclusively examined AD biomarker abnormalities in 85 Black and/or African American participants within the Alzheimer's Disease Neuroimaging Initiative (ADNI). Participants were classified by the ADNI into 3 clinical groups: cognitively normal, mild cognitive impairment, or dementia. Data examined included demographics, apolipoprotein E (APOE) ε4, cerebrospinal fluid (CSF) Aβ1-42, CSF total tau (t-tau), CSF phosphorylated tau (p-tau), 3T magnetic resonance imaging (MRI), and measures of cognition and function. Analyses of variance and covariance showed lower cortical thickness in 5 of 7 selected MRI regions, lower hippocampal volume, greater volume of white matter hyperintensities, lower measures of cognition and function, lower measures of CSF Aβ1-42, and greater measures of CSF t-tau and p-tau between clinical groups. Our findings confirmed greater AD biomarker abnormalities between clinical groups in this sample.
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Affiliation(s)
- Renée C Groechel
- Department of Anatomy and Neurobiology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA.
| | - Yorghos Tripodis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA; Boston University Alzheimer's Disease Research Center, Boston, MA, USA
| | - Michael L Alosco
- Boston University Alzheimer's Disease Research Center, Boston, MA, USA; Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA
| | - Jesse Mez
- Boston University Alzheimer's Disease Research Center, Boston, MA, USA; Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA
| | - Wei Qiao Qiu
- Boston University Alzheimer's Disease Research Center, Boston, MA, USA; Department of Psychiatry, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA
| | - Lee Goldstein
- Boston University Alzheimer's Disease Research Center, Boston, MA, USA; Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA
| | - Andrew E Budson
- Boston University Alzheimer's Disease Research Center, Boston, MA, USA; Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA
| | - Neil W Kowall
- Boston University Alzheimer's Disease Research Center, Boston, MA, USA; Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA
| | - Leslie M Shaw
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine at University of Pennsylvania, Philadelphia, PA, USA
| | - Michael Weiner
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | | | - Ronald J Killiany
- Department of Anatomy and Neurobiology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA; Boston University Alzheimer's Disease Research Center, Boston, MA, USA; Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA
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Rajabli F, Tosto G, Hamilton-Nelson KL, Kunkle BW, Vardarajan BN, Naj A, Whitehead PG, Gardner OK, Bush WS, Sariya S, Mayeux RP, Farrer LA, Cuccaro ML, Vance JM, Griswold AJ, Schellenberg GD, Haines JL, Byrd GS, Reitz C, Beecham GW, Pericak-Vance MA, Martin ER. Admixture mapping identifies novel Alzheimer's disease risk regions in African Americans. Alzheimers Dement 2023; 19:2538-2548. [PMID: 36539198 PMCID: PMC10272044 DOI: 10.1002/alz.12865] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Revised: 08/09/2022] [Accepted: 08/17/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND This study used admixture mapping to prioritize the genetic regions associated with Alzheimer's disease (AD) in African American (AA) individuals, followed by ancestry-aware regression analysis to fine-map the prioritized regions. METHODS We analyzed 10,271 individuals from 17 different AA datasets. We performed admixture mapping and meta-analyzed the results. We then used regression analysis, adjusting for local ancestry main effects and interactions with genotype, to refine the regions identified from admixture mapping. Finally, we leveraged in silico annotation and differential gene expression data to prioritize AD-related variants and genes. RESULTS Admixture mapping identified two genome-wide significant loci on chromosomes 17p13.2 (p = 2.2 × 10-5 ) and 18q21.33 (p = 1.2 × 10-5 ). Our fine mapping of the chromosome 17p13.2 and 18q21.33 regions revealed several interesting genes such as the MINK1, KIF1C, and BCL2. DISCUSSION Our ancestry-aware regression approach showed that AA individuals have a lower risk of AD if they inherited African ancestry admixture block at the 17p13.2 locus. HIGHLIGHTS We identified two genome-wide significant admixture mapping signals: on chromosomes 17p13.2 and 18q21.33, which are novel in African American (AA) populations. Our ancestry-aware regression approach showed that AA individuals have a lower risk of Alzheimer's disease (AD) if they inherited African ancestry admixture block at the 17p13.2 locus. We found that the overall proportion of African ancestry does not differ between the cases and controls that suggest African genetic ancestry alone is not likely to explain the AD prevalence difference between AA and non-Hispanic White populations.
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Affiliation(s)
- Farid Rajabli
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Giuseppe Tosto
- Gertrude H. Sergievsky Center, Taub Institute for Research on the Aging Brain, Departments of Neurology, Psychiatry, and Epidemiology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Kara L. Hamilton-Nelson
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Brian W. Kunkle
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Badri N. Vardarajan
- Gertrude H. Sergievsky Center, Taub Institute for Research on the Aging Brain, Departments of Neurology, Psychiatry, and Epidemiology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Adam Naj
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PE, USA
| | - Patrice G. Whitehead
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Olivia K. Gardner
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - William S. Bush
- Department of Population & Quantitative Health Sciences, Cleveland Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Sanjeev Sariya
- Gertrude H. Sergievsky Center, Taub Institute for Research on the Aging Brain, Departments of Neurology, Psychiatry, and Epidemiology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Richard P. Mayeux
- Gertrude H. Sergievsky Center, Taub Institute for Research on the Aging Brain, Departments of Neurology, Psychiatry, and Epidemiology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Lindsay A. Farrer
- Departments of Medicine (Biomedical Genetics), Neurology, Ophthalmology, Epidemiology, and Biostatistics, Boston University Schools of Medicine and Public Health, Boston, MA, USA
| | - Michael L. Cuccaro
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
- Dr. John T. MacDonald Foundation Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Jeffrey M. Vance
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
- Dr. John T. MacDonald Foundation Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Anthony J. Griswold
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
- Dr. John T. MacDonald Foundation Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Gerard D. Schellenberg
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PE, USA
| | - Jonathan L. Haines
- Department of Population & Quantitative Health Sciences, Cleveland Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Goldie S. Byrd
- Maya Angelou Center for Health Equity, Wake Forest University, Winston-Salem, NC, USA
| | - Christiane Reitz
- Gertrude H. Sergievsky Center, Taub Institute for Research on the Aging Brain, Departments of Neurology, Psychiatry, and Epidemiology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Gary W. Beecham
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
- Dr. John T. MacDonald Foundation Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Margaret A. Pericak-Vance
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
- Dr. John T. MacDonald Foundation Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Eden R. Martin
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
- Dr. John T. MacDonald Foundation Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, FL, USA
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Brenner EK, Weigand AJ, Edwards L, Thomas KR, Edmonds EC, Bondi MW, Bangen KJ. Brain Derived Neurotrophic Factor Interacts with White Matter Hyperintensities to Influence Processing Speed and Hippocampal Volume in Older Adults. J Alzheimers Dis 2023; 93:141-149. [PMID: 36970903 PMCID: PMC10200154 DOI: 10.3233/jad-221178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
BACKGROUND Brain-derived neurotrophic factor (BDNF) is a neurotrophin that plays an important role in regulating synaptic activity and plasticity. OBJECTIVE Given that type-2 diabetes (T2DM) increases the risk of cognitive decline, and studies have suggested lower BDNF levels may be a risk factor of diabetic neurovascular complications, we sought to investigate total white matter hyperintensities (WMH) as a moderator of the effect of BDNF on hippocampal volume and cognition. METHODS Older adults without dementia from the Alzheimer's Disease Neuroimaging Initiative (N = 454 including 49 with T2DM and 405 without diabetes) underwent neuropsychological evaluation, magnetic resonance imaging to quantify hippocampal and WMH volumes, and blood draw to assess BDNF. RESULTS Adjusting for age, sex, and APOE ɛ4 carrier status, there was a significant interaction between total WMH and BDNF on bilateral hippocampal volume in the non-T2DM group (t = 2.63, p = 0.009). Examination of main effect models with a dichotomous high/low BNDF group revealed a significant main effect for low BDNF (t = -4.98, p < 0.001), such that as WMH increased, bilateral hippocampal volume decreased. There was also a significant interaction between total WMH and BDNF on processing speed in the non-T2DM group (t = 2.91, p = 0.004). There was a significant main effect for low BDNF (t = -3.55, p < 0.001) such that as WMH increased, processing speed decreased. The interactions were not significant in the T2DM group. CONCLUSION These results further elucidate the protective role that BDNF plays on cognition, as well as the cognitive effects of WMH.
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Affiliation(s)
- Einat K. Brenner
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Alexandra J. Weigand
- San Diego State University/UC San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA
| | - Lauren Edwards
- San Diego State University/UC San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA
| | - Kelsey R. Thomas
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Research Service, VA San Diego Healthcare System, San Diego, CA, USA
| | | | - Mark W. Bondi
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Research Service, VA San Diego Healthcare System, San Diego, CA, USA
| | - Katherine J. Bangen
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Research Service, VA San Diego Healthcare System, San Diego, CA, USA
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6
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Boutzoukas EM, O'Shea A, Kraft JN, Hardcastle C, Evangelista ND, Hausman HK, Albizu A, Van Etten EJ, Bharadwaj PK, Smith SG, Song H, Porges EC, Hishaw A, DeKosky ST, Wu SS, Marsiske M, Alexander GE, Cohen R, Woods AJ. Higher white matter hyperintensity load adversely affects pre-post proximal cognitive training performance in healthy older adults. GeroScience 2022; 44:1441-1455. [PMID: 35278154 PMCID: PMC9213634 DOI: 10.1007/s11357-022-00538-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 02/22/2022] [Indexed: 11/29/2022] Open
Abstract
Cognitive training has shown promise for improving cognition in older adults. Age-related neuroanatomical changes may affect cognitive training outcomes. White matter hyperintensities are one common brain change in aging reflecting decreased white matter integrity. The current study assessed (1) proximal cognitive training performance following a 3-month randomized control trial and (2) the contribution of baseline whole-brain white matter hyperintensity load, or total lesion volume (TLV), on pre-post proximal training change. Sixty-two healthy older adults were randomized to either adaptive cognitive training or educational training control interventions. Repeated-measures analysis of covariance revealed two-way group × time interactions such that those assigned cognitive training demonstrated greater improvement on proximal composite (total training composite) and sub-composite (processing speed training composite, working memory training composite) measures compared to education training counterparts. Multiple linear regression showed higher baseline TLV associated with lower pre-post change on processing speed training sub-composite (β = -0.19, p = 0.04), but not other composite measures. These findings demonstrate the utility of cognitive training for improving post-intervention proximal performance in older adults. Additionally, pre-post proximal processing speed training change appears to be particularly sensitive to white matter hyperintensity load versus working memory training change. These data suggest that TLV may serve as an important factor for consideration when planning processing speed-based cognitive training interventions for remediation of cognitive decline in older adults.
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Affiliation(s)
- Emanuel M Boutzoukas
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
| | - Andrew O'Shea
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA
| | - Jessica N Kraft
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA
- Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Cheshire Hardcastle
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
| | - Nicole D Evangelista
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
| | - Hanna K Hausman
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
| | - Alejandro Albizu
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA
- Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Emily J Van Etten
- Department of Psychology and Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA
| | - Pradyumna K Bharadwaj
- Department of Psychology and Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA
| | - Samantha G Smith
- Department of Psychology and Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA
| | - Hyun Song
- Department of Psychology and Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA
| | - Eric C Porges
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
| | - Alex Hishaw
- Department Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, USA
- Department of Neurology, College of Medicine, University of Arizona, Tucson, AZ, USA
| | - Steven T DeKosky
- Department of Neurology and McKnight Brain Institute, University of Florida, Gainesville, FL, USA
| | - Samuel S Wu
- Department of Biostatistics, College of Public Health and Health Professions, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Michael Marsiske
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
| | - Gene E Alexander
- Department of Psychology and Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA
- Department of Psychiatry, Neuroscience and Physiological Sciences Graduate Interdisciplinary Programs, and BIO5 Institute, University of Arizona and Arizona Alzheimer's Disease Consortium, Tucson, AZ, USA
| | - Ronald Cohen
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
| | - Adam J Woods
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA.
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA.
- Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL, USA.
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7
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Lamar M, Fleischman DA, Leurgans SE, Aggarwal N, Yu L, Kim N, Poole V, Han SD, Arfanakis K, Barnes LL. Relationship of Blood Pressure and White Matter Hyperintensity Burden With Level of and Change in Cognition in Older Black Adults. Psychosom Med 2022; 84:437-445. [PMID: 35100182 PMCID: PMC9064910 DOI: 10.1097/psy.0000000000001059] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE Elevations in blood pressure (BP) and associated white matter hyperintensities (WMHs) are chronic comorbid conditions among older Black adults. We investigated whether WMHs modify the association between late-life BP and cognition within older Black adults. METHODS A total of 167 Black adults (age, ~75 years; without dementia at baseline) participating in neuroimaging studies at the Rush Alzheimer's Disease Center were evaluated for BP markers of cardiovascular health, including systolic BP, diastolic BP, pulse pressure, mean arterial pressure (MAP), and hypertension, and were assessed for global and domain-specific cognition at baseline and annually for up to 8 years. WMHs adjusted for intracranial volume were quantified at baseline. RESULTS Models adjusted for relevant confounders and the interaction of these variables with time revealed differential associations between BP markers and baseline cognition; however, only elevated diastolic BP predicted faster cognitive, that is, episodic memory, decline (estimate = -0.002, standard error = 0.0009, p = .002). Although WMH burden did not modify the association between diastolic BP and episodic memory decline, it did interact with diastolic BP to lower episodic memory at baseline (estimate = -0.051, standard error = 0.012, p = .0001); that is, greater WMHs combined with higher diastolic BP resulted in the lowest baseline episodic memory scores. A similar profile was noted for WMHs, MAP, and baseline episodic memory. Hypertension was neither associated with cognition nor modified by WMH burden after multiple comparisons correction. CONCLUSION Late-life diastolic BP was associated with faster rates of episodic memory decline in older Black adults; together with higher WMH burden, it (and MAP) lowered the point at which individuals begin their course of decline toward pathological aging.
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Affiliation(s)
- Melissa Lamar
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Debra A. Fleischman
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Sue E. Leurgans
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Neelum Aggarwal
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Lei Yu
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Namhee Kim
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Victoria Poole
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Orthopedic Surgery, Rush University Medical Center, Chicago, IL, USA
| | - S. Duke Han
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
- Departments of Family Medicine and Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
- School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Konstantinos Arfanakis
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
- Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Lisa L. Barnes
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
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8
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Doborjeh M, Doborjeh Z, Merkin A, Bahrami H, Sumich A, Krishnamurthi R, Medvedev ON, Crook-Rumsey M, Morgan C, Kirk I, Sachdev PS, Brodaty H, Kang K, Wen W, Feigin V, Kasabov N. Personalised predictive modelling with brain-inspired spiking neural networks of longitudinal MRI neuroimaging data and the case study of dementia. Neural Netw 2021; 144:522-539. [PMID: 34619582 DOI: 10.1016/j.neunet.2021.09.013] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 08/11/2021] [Accepted: 09/12/2021] [Indexed: 11/27/2022]
Abstract
BACKGROUND Longitudinal neuroimaging provides spatiotemporal brain data (STBD) measurement that can be utilised to understand dynamic changes in brain structure and/or function underpinning cognitive activities. Making sense of such highly interactive information is challenging, given that the features manifest intricate temporal, causal relations between the spatially distributed neural sources in the brain. METHODS The current paper argues for the advancement of deep learning algorithms in brain-inspired spiking neural networks (SNN), capable of modelling structural data across time (longitudinal measurement) and space (anatomical components). The paper proposes a methodology and a computational architecture based on SNN for building personalised predictive models from longitudinal brain data to accurately detect, understand, and predict the dynamics of an individual's functional brain state. The methodology includes finding clusters of similar data to each individual, data interpolation, deep learning in a 3-dimensional brain-template structured SNN model, classification and prediction of individual outcome, visualisation of structural brain changes related to the predicted outcomes, interpretation of results, and individual and group predictive marker discovery. RESULTS To demonstrate the functionality of the proposed methodology, the paper presents experimental results on a longitudinal magnetic resonance imaging (MRI) dataset derived from 175 older adults of the internationally recognised community-based cohort Sydney Memory and Ageing Study (MAS) spanning 6 years of follow-up. SIGNIFICANCE The models were able to accurately classify and predict 2 years ahead of cognitive decline, such as mild cognitive impairment (MCI) and dementia with 95% and 91% accuracy, respectively. The proposed methodology also offers a 3-dimensional visualisation of the MRI models reflecting the dynamic patterns of regional changes in white matter hyperintensity (WMH) and brain volume over 6 years. CONCLUSION The method is efficient for personalised predictive modelling on a wide range of neuroimaging longitudinal data, including also demographic, genetic, and clinical data. As a case study, it resulted in finding predictive markers for MCI and dementia as dynamic brain patterns using MRI data.
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Affiliation(s)
- Maryam Doborjeh
- Computer Science and Software Engineering Department, School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, New Zealand.
| | - Zohreh Doborjeh
- Department of Audiology, School of Population Health, Faculty of Medical and Health Sciences, The University of Auckland, New Zealand
| | - Alexander Merkin
- The National Institute for Stroke and Applied Neurosciences, School of Clinical Sciences, Auckland University of Technology, New Zealand
| | - Helena Bahrami
- School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, New Zealand
| | - Alexander Sumich
- NTU Psychology, Nottingham Trent University, Nottingham, United Kingdom
| | - Rita Krishnamurthi
- The National Institute for Stroke and Applied Neurosciences, School of Clinical Sciences, Auckland University of Technology, New Zealand
| | - Oleg N Medvedev
- University of Waikato, School of Psychology, Hamilton, New Zealand
| | - Mark Crook-Rumsey
- NTU Psychology, Nottingham Trent University, Nottingham, United Kingdom; School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, New Zealand
| | - Catherine Morgan
- School of Psychology and Centre for Brain Research, University of Auckland, New Zealand; Brain Research New Zealand - Rangahau Roro Aotearoa, Centre of Research Excellence, New Zealand
| | - Ian Kirk
- School of Psychology and Centre for Brain Research, University of Auckland, New Zealand; Brain Research New Zealand - Rangahau Roro Aotearoa, Centre of Research Excellence, New Zealand
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia; Neuropsychiatric Institute, the Prince of Wales Hospital, Sydney, Australia
| | - Henry Brodaty
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Kristan Kang
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Wei Wen
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia; Neuropsychiatric Institute, the Prince of Wales Hospital, Sydney, Australia
| | - Valery Feigin
- The National Institute for Stroke and Applied Neurosciences, School of Clinical Sciences, Auckland University of Technology, New Zealand; Research Center of Neurology, Moscow, Russia
| | - Nikola Kasabov
- School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, New Zealand; George Moore Chair, Ulster University, Londonderry, United Kingdom
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9
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Rizvi B, Lao PJ, Chesebro AG, Dworkin JD, Amarante E, Beato JM, Gutierrez J, Zahodne LB, Schupf N, Manly JJ, Mayeux R, Brickman AM. Association of Regional White Matter Hyperintensities With Longitudinal Alzheimer-Like Pattern of Neurodegeneration in Older Adults. JAMA Netw Open 2021; 4:e2125166. [PMID: 34609497 PMCID: PMC8493439 DOI: 10.1001/jamanetworkopen.2021.25166] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
IMPORTANCE Small vessel cerebrovascular disease, visualized as white matter hyperintensities (WMH), is associated with cognitive decline and risk of clinical Alzheimer disease (AD). One way in which small vessel cerebrovascular disease could contribute to AD is through the promotion of neurodegeneration; the effect of small vessel cerebrovascular disease on neurodegeneration may differ across racial and ethnic groups. OBJECTIVE To examine whether WMH volume is associated with cortical thinning over time and subsequent memory functioning and whether the association between WMH volume and cortical thinning differs among racial and ethnic groups. DESIGN, SETTING, AND PARTICIPANTS This longitudinal community-based cohort study included older adults from northern Manhattan who were participants in the Washington Heights-Inwood Columbia Aging Project. Participants underwent two 3T magnetic resonance imaging (MRI) scans a mean of 4 years apart. Data were collected from March 2011 to January 2020. EXPOSURES Total and regional WMH volumes. MAIN OUTCOMES AND MEASURES The association of total and regional WMH volumes with cortical thinning over time was tested using general linear models in a vertexwise analysis. Cortical thinning was measured vertexwise by symmetrized percent change between 2 time points. The association of changes in cortical thickness with memory and whether this association differed by race and ethnicity was also analyzed. Delayed memory was a secondary outcome. RESULTS In 303 participants (mean [SD] age, 73.16 [5.19] years, 181 [60%] women, 96 [32%] non-Hispanic White, 113 [37%] Non-Hispanic Black, 94 [31%] Hispanic), baseline WMH volumes were associated with cortical thinning in medial temporal and frontal/parietal regions. Specifically, total WMH volume was associated with cortical thinning in the right caudal middle frontal cortex (P = .001) and paracentral cortex (P = .04), whereas parietal WMH volume was associated with atrophy in the left entorhinal cortex (P = .03) and right rostral middle frontal (P < .001), paracentral (P < .001), and pars triangularis (P = .02) cortices. Thinning of the right caudal middle frontal and left entorhinal cortices was related to lower scores on a memory test administered closest to the second MRI visit (right caudal middle frontal cortex: standardized β = 0.129; unstandardized b = 0.335; 95% CI, 0.055 to 0.616; P = .01; left entorhinal cortex: β = 0.119; b = 0.290; 95% CI, 0.018 to 0.563; P = .03). The association of total WMH with thinning in the right caudal middle frontal and right paracentral cortex was greater in non-Hispanic Black participants compared with White participants (right caudal middle frontal cortex: β = -0.222; b = -0.059; 95% CI, -0.114 to -0.004; P = .03; right paracentral cortex: β = -0.346; b = -0.155; 95% CI, -0.244 to -0.066; P = .001). The association of parietal WMH with cortical thinning of the right rostral middle frontal, right pars triangularis, and right paracentral cortices was also stronger among non-Hispanic Black participants compared with White participants (right rostral middle frontal cortex: β = -0.252; b = -0.202; 95% CI, -0.349 to -0.055; P = .007; right pars triangularis cortex: β = -0.327; b = -0.253; 95% CI, -0.393 to -0.113; P < .001; right paracentral cortex: β = -0.263; b = -0.337; 95% CI, -0.567 to -0.107; P = .004). CONCLUSIONS AND RELEVANCE In this study, small vessel cerebrovascular disease, operationalized as WMH, was associated with subsequent cortical atrophy in regions that overlap with typical AD neurodegeneration patterns, particularly among non-Hispanic Black older adults. Cerebrovascular disease may affect risk and progression of AD by promoting neurodegeneration and subsequent memory decline.
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Affiliation(s)
- Batool Rizvi
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
| | - Patrick J. Lao
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
| | - Anthony G. Chesebro
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
| | - Jordan D. Dworkin
- Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York
| | - Erica Amarante
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
| | - Juliet M. Beato
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
| | - Jose Gutierrez
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
| | | | - Nicole Schupf
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Gertrude H. Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Jennifer J. Manly
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Gertrude H. Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
| | - Richard Mayeux
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Gertrude H. Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Adam M. Brickman
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Gertrude H. Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
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10
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Van Etten EJ, Bharadwaj PK, Hishaw GA, Huentelman MJ, Trouard TP, Grilli MD, Alexander GE. Influence of regional white matter hyperintensity volume and apolipoprotein E ε4 status on hippocampal volume in healthy older adults. Hippocampus 2021; 31:469-480. [PMID: 33586848 PMCID: PMC9119498 DOI: 10.1002/hipo.23308] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2020] [Revised: 12/22/2020] [Accepted: 01/23/2021] [Indexed: 11/08/2022]
Abstract
While total white matter hyperintensity (WMH) volume on magnetic resonance imaging (MRI) has been associated with hippocampal atrophy, less is known about how the regional distribution of WMH volume may differentially affect the hippocampus in healthy aging. Additionally, apolipoprotein E (APOE) ε4 carriers may be at an increased risk for greater WMH volumes and hippocampal atrophy in aging. The present study sought to investigate whether regional WMH volume mediates the relationship between age and hippocampal volume and if this association is moderated by APOE ε4 status in a group of 190 cognitively healthy adults (APOE ε4 status [carrier/non-carrier] = 59/131), ages 50-89. Analyses revealed that temporal lobe WMH volume significantly mediated the relationship between age and average bilateral hippocampal volume, and this effect was moderated by APOE ε4 status (-0.020 (SE = 0.009), 95% CI, [-0.039, -0.003]). APOE ε4 carriers, but not non-carriers, showed negative indirect effects of age on hippocampal volume through temporal lobe WMH volume (APOE ε4 carriers: -0.016 (SE = 0.007), 95% CI, [-0.030, -0.003]; APOE ε4 non-carriers: .005 (SE = 0.006), 95% CI, [-0.006, 0.017]). These findings remained significant after additionally adjusting for sex, years of education, hypertension status and duration, cholesterol status, diabetes status, Body Mass Index, history of smoking, and the Wechsler Adult Intelligence Scale-IV Full Scale IQ. There were no significant moderated mediation effects for frontal, parietal, and occipital lobe WMH volumes, with or without covariates. Our findings indicate that in cognitively healthy older adults, elevated WMH volume regionally localized to the temporal lobes in APOE ε4 carriers is associated with reduced hippocampal volume, suggesting greater vulnerability to brain aging and the risk for Alzheimer's disease.
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Affiliation(s)
- Emily J Van Etten
- Department of Psychology, University of Arizona, Tucson, Arizona, USA.,Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, Arizona, USA
| | - Pradyumna K Bharadwaj
- Department of Psychology, University of Arizona, Tucson, Arizona, USA.,Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, Arizona, USA
| | - Georg A Hishaw
- Department of Neurology, University of Arizona, Tucson, Arizona, USA
| | - Matthew J Huentelman
- Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, Arizona, USA.,Neurogenomics Division, The Translational Genomics Research Institute (TGen), Phoenix, Arizona, USA.,Arizona Alzheimer's Consortium, Phoenix, Arizona, USA
| | - Theodore P Trouard
- Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, Arizona, USA.,Department of Biomedical Engineering, University of Arizona, Tucson, Arizona, USA.,Arizona Alzheimer's Consortium, Phoenix, Arizona, USA
| | - Matthew D Grilli
- Department of Psychology, University of Arizona, Tucson, Arizona, USA.,Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, Arizona, USA.,Department of Neurology, University of Arizona, Tucson, Arizona, USA
| | - Gene E Alexander
- Department of Psychology, University of Arizona, Tucson, Arizona, USA.,Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, Arizona, USA.,Department of Psychiatry, University of Arizona, Tucson, Arizona, USA.,Neuroscience Graduate Interdisciplinary Program, University of Arizona, Tucson, Arizona, USA.,Physiological Sciences Graduate Interdisciplinary Program, University of Arizona, Tucson, Arizona, USA.,Arizona Alzheimer's Consortium, Phoenix, Arizona, USA
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11
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Boutzoukas EM, O'Shea A, Albizu A, Evangelista ND, Hausman HK, Kraft JN, Van Etten EJ, Bharadwaj PK, Smith SG, Song H, Porges EC, Hishaw A, DeKosky ST, Wu SS, Marsiske M, Alexander GE, Cohen R, Woods AJ. Frontal White Matter Hyperintensities and Executive Functioning Performance in Older Adults. Front Aging Neurosci 2021; 13:672535. [PMID: 34262445 PMCID: PMC8273864 DOI: 10.3389/fnagi.2021.672535] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Accepted: 05/31/2021] [Indexed: 11/27/2022] Open
Abstract
Frontal lobe structures decline faster than most other brain regions in older adults. Age-related change in the frontal lobe is associated with poorer executive function (e.g., working memory, switching/set-shifting, and inhibitory control). The effects and presence of frontal lobe white matter hyperintensities (WMH) on executive function in normal aging is relatively unknown. The current study assessed relationships between region-specific frontal WMH load and cognitive performance in healthy older adults using three executive function tasks from the NIH Toolbox (NIHTB) Cognition Battery. A cohort of 279 healthy older adults ages 65-88 completed NIHTB and 3T T1-weighted and FLAIR MRI. Lesion Segmentation Toolbox quantified WMH volume and generated lesion probability maps. Individual lesion maps were registered to the Desikan-Killiany atlas in FreeSurfer 6.0 to define regions of interest (ROI). Independent linear regressions assessed relationships between executive function performance and region-specific WMH in frontal lobe ROIs. All models included age, sex, education, estimated total intracranial volume, multi-site scanner differences, and cardiovascular disease risk using Framingham criteria as covariates. Poorer set-shifting performance was associated with greater WMH load in three frontal ROIs including bilateral superior frontal (left β = -0.18, FDR-p = 0.02; right β = -0.20, FDR-p = 0.01) and right medial orbitofrontal (β = -0.17, FDR-p = 0.02). Poorer inhibitory performance associated with higher WMH load in one frontal ROI, the right superior frontal (right β = -0.21, FDR-p = 0.01). There were no significant associations between working memory and WMH in frontal ROIs. Our study demonstrates that location and pattern of frontal WMH may be important to assess when examining age-related differences in cognitive functions involving switching/set-shifting and inhibition. On the other hand, working memory performance was not related to presence of frontal WMH in this sample. These data suggest that WMH may contribute selectively to age-related declines in executive function. Findings emerged beyond predictors known to be associated with WMH presence, including age and cardiovascular disease risk. The spread of WMH within the frontal lobes may play a key role in the neuropsychological profile of cognitive aging. Further research should explore whether early intervention on modifiable vascular factors or cognitive interventions targeted for executive abilities may help mitigate the effect of frontal WMH on executive function.
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Affiliation(s)
- Emanuel M. Boutzoukas
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, United States
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States
| | - Andrew O'Shea
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, United States
| | - Alejandro Albizu
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, United States
- Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL, United States
| | - Nicole D. Evangelista
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, United States
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States
| | - Hanna K. Hausman
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, United States
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States
| | - Jessica N. Kraft
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, United States
- Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL, United States
| | - Emily J. Van Etten
- Department of Psychology and Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, United States
| | - Pradyumna K. Bharadwaj
- Department of Psychology and Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, United States
| | - Samantha G. Smith
- Department of Psychology and Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, United States
| | - Hyun Song
- Department of Psychology and Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, United States
| | - Eric C. Porges
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, United States
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States
| | - Alex Hishaw
- Department Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, United States
- Department of Neurology, College of Medicine, University of Arizona, Tucson, AZ, United States
| | - Steven T. DeKosky
- Department of Neurology, College of Medicine, University of Florida, Gainesville, FL, United States
| | - Samuel S. Wu
- Department of Biostatistics, College of Public Health and Health Professions, College of Medicine, University of Florida, Gainesville, FL, United States
| | - Michael Marsiske
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, United States
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States
| | - Gene E. Alexander
- Department of Psychology and Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, United States
- Department of Psychiatry, Neuroscience and Physiological Sciences Graduate Interdisciplinary Programs, and BIO5 Institute, University of Arizona and Arizona Alzheimer's Disease Consortium, Tucson, AZ, United States
| | - Ronald Cohen
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, United States
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States
| | - Adam J. Woods
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, United States
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States
- Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL, United States
- *Correspondence: Adam J. Woods
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12
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Vonk JMJ, Arce Rentería M, Medina VM, Pericak-Vance MA, Byrd GS, Haines J, Brickman AM, Manly JJ. Education Moderates the Relation Between APOE ɛ4 and Memory in Nondemented Non-Hispanic Black Older Adults. J Alzheimers Dis 2020; 72:495-506. [PMID: 31594222 DOI: 10.3233/jad-190415] [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] [Indexed: 01/06/2023]
Abstract
BACKGROUND The APOEɛ4 allele is a well-known risk factor for Alzheimer's disease (AD). Previous research argues that higher education helps to preserve cognition in older adults with AD pathology because of its key role in cognitive reserve and resilience. OBJECTIVE To test if higher educational level buffers the effect of APOEɛ4 on cognition among older non-Hispanic Blacks. METHODS Participants were 849 non-demented older non-Hispanic Blacks (38.3% APOEɛ4+), who underwent a comprehensive neuropsychological evaluation. Multiple linear regression models tested the relationship between APOEɛ4 status and twelve cognitive measures with education (up to high school and beyond high school) as a moderator. RESULTS Education buffered the effects of the APOEɛ4 allele, such that there was no impact of APOEɛ4 status on word-list memory retention and working memory among participants with more than a high school degree. This pattern was not observed for ten other cognitive measures of verbal and visual episodic memory, semantic memory, executive function, and processing speed-although a similar trend was observed for switching ability in executive functioning. The buffering effect of education was stronger among women than men. CONCLUSION Our findings suggest that genetic effects on late-life cognition may be modified by environmental factors such as educational attainment. These results are consistent with the framework of cognitive reserve such that engaging in cognitively enriching activities and acquiring skills and knowledge with more years of education may increase the capacity to maintain cognitive function despite high genetic risk for impairment.
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Affiliation(s)
- Jet M J Vonk
- Department of Neurology, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA.,Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Miguel Arce Rentería
- Department of Neurology, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Valerie M Medina
- Department of Neurology, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Margaret A Pericak-Vance
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Goldie S Byrd
- North Carolina Agricultural and Technical State University, Dean, College of Arts and Sciences, Greensboro, NC, USA
| | - Jonathan Haines
- Center for Human Genetics Research, Vanderbilt University, Nashville, TN, USA
| | - Adam M Brickman
- Department of Neurology, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Jennifer J Manly
- Department of Neurology, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA
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13
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Misiura MB, Howell JC, Wu J, Qiu D, Parker MW, Turner JA, Hu WT. Race modifies default mode connectivity in Alzheimer's disease. Transl Neurodegener 2020; 9:8. [PMID: 32099645 PMCID: PMC7029517 DOI: 10.1186/s40035-020-0186-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 02/04/2020] [Indexed: 12/11/2022] Open
Abstract
Background Older African Americans are more likely to develop Alzheimer's disease (AD) than older Caucasians, and this difference cannot be readily explained by cerebrovascular and socioeconomic factors alone. We previously showed that mild cognitive impairment and AD dementia were associated with attenuated increases in the cerebrospinal fluid (CSF) levels of total and phosphorylated tau in African Americans compared to Caucasians, even though there was no difference in beta-amyloid 1-42 level between the two races. Methods We extended our work by analyzing early functional magnetic resonance imaging (fMRI) biomarkers of the default mode network in older African Americans and Caucasians. We calculated connectivity between nodes of the regions belonging to the various default mode network subsystems and correlated these imaging biomarkers with non-imaging biomarkers implicated in AD (CSF amyloid, total tau, and cognitive performance). Results We found that race modifies the relationship between functional connectivity of default mode network subsystems and cognitive performance, tau, and amyloid levels. Conclusion These findings provide further support that race modifies the AD phenotypes downstream from cerebral amyloid deposition, and identifies key inter-subsystem connections for deep imaging and neuropathologic characterization.
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Affiliation(s)
- Maria B Misiura
- 1Department of Psychology, Georgia State University, Atlanta, GA USA.,2Departments of Neurology, Emory University, 615 Michael Street, Suite 505, Atlanta, GA 30322 USA
| | - J Christina Howell
- 2Departments of Neurology, Emory University, 615 Michael Street, Suite 505, Atlanta, GA 30322 USA
| | - Junjie Wu
- 3Departments of Radiology, Emory University, Atlanta, GA USA
| | - Deqiang Qiu
- 3Departments of Radiology, Emory University, Atlanta, GA USA
| | - Monica W Parker
- 2Departments of Neurology, Emory University, 615 Michael Street, Suite 505, Atlanta, GA 30322 USA
| | - Jessica A Turner
- 1Department of Psychology, Georgia State University, Atlanta, GA USA
| | - William T Hu
- 2Departments of Neurology, Emory University, 615 Michael Street, Suite 505, Atlanta, GA 30322 USA
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14
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Piriz A, Reyes D, Narkhede A, Guzman VA, Viqar F, Meier IB, Budge M, Mena P, Dashnaw S, Lee J, Reitz C, Gutierrez J, Campos L, Medrano M, Lantigua R, Mayeux R, Brickman AM. Cerebrovascular Disease and Neurodegeneration in Alzheimer's Disease with and without a Strong Family History: A Pilot Magnetic Resonance Imaging Study in Dominican Republic. J Alzheimers Dis 2019; 66:1519-1528. [PMID: 30412503 DOI: 10.3233/jad-180807] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The incidence and prevalence of Alzheimer's disease (AD) dementia are higher among Caribbean Hispanics than among non-Hispanic Whites. The causes of this health disparity remain elusive, partially because of the relative limited capacity for biomedical research in the developing countries that comprise Caribbean Latin America. To begin to address this issue, we were awarded a Development Research Award from the US NIH and Fogarty International Center in order to establish the local capacity to integrate magnetic resonance imaging (MRI) into studies of cognitive aging and dementia in Dominican Republic, establish collaborations with Dominican investigators, and conduct a pilot study on the role of cerebrovascular markers in the clinical expression of AD. Ninety older adult participants with and without AD dementia and with and without a strong family history of AD dementia received MRI scans and clinical evaluation. We quantified markers of cerebrovascular disease (white matter hyperintensities [WMH], presence of infarct, and presence of microbleed) and neurodegeneration (entorhinal cortex volume) and compared them across groups. Patients with AD dementia had smaller entorhinal cortex and greater WMH volumes compared with controls, regardless of family history status. This study provides evidence for the capacity to conduct MRI studies of cognitive aging and dementia in Dominican Republic. The results are consistent with the hypothesis that small vessel cerebrovascular disease represents a core feature of AD dementia, as affected participants had elevated WMH volumes irrespective of family history status.
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Affiliation(s)
- Angel Piriz
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA.,G.H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Dolly Reyes
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA.,G.H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Atul Narkhede
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Vanessa A Guzman
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Fawad Viqar
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Irene B Meier
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Mariana Budge
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Pedro Mena
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA.,G.H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Stephen Dashnaw
- Department of Radiology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Joseph Lee
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA.,G.H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA.,Department of Epidemiology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Christiane Reitz
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA.,G.H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA.,Department of Radiology, College of Physicians and Surgeons, Columbia University, New York, NY, USA.,Department of Epidemiology, College of Physicians and Surgeons, Columbia University, New York, NY, USA.,Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Jose Gutierrez
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Luis Campos
- Centro de Radiologia Especializada, Santiago, Dominican Republic
| | - Martin Medrano
- School of Medicine, Mother and Teacher Pontifical Catholic University, Santiago, Dominican Republic
| | - Rafael Lantigua
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA.,G.H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA.,Department of Medicine, College of Physicians and Surgeonss, Columbia University, New York, NY, USA
| | - Richard Mayeux
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA.,G.H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA.,Department of Epidemiology, College of Physicians and Surgeons, Columbia University, New York, NY, USA.,Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Adam M Brickman
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA.,G.H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA.,Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
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15
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The Modulatory Effect of Cerebrovascular Burden in Response to Cognitive Stimulation in Healthy Ageing and Mild Cognitive Impairment. Neural Plast 2019; 2019:2305318. [PMID: 31467519 PMCID: PMC6701285 DOI: 10.1155/2019/2305318] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Revised: 04/15/2019] [Accepted: 06/13/2019] [Indexed: 12/21/2022] Open
Abstract
Background Cerebrovascular burden is a common pathology in mild cognitive impairment (MCI) and Alzheimer's disease (AD), with an additive impact on cognitive functioning. Despite being proposed as a potential moderator of cholinesterase inhibiting drug therapy, there is a paucity of evidence investigating the impact of cerebrovascular pathology on responsiveness to cognitive interventions. Method The current study uses neuropsychological, neurostructural, and functional connectivity indices to characterise response to a cognitive stimulation paradigm in 25 healthy ageing and 22 MCI participants, to examine the hypothesised detrimental effects of concurrent vascular pathology. Results In both healthy ageing and MCI, increased levels of vascular pathology limited the potential for a neuroplastic response to cognitive stimulation. In healthy ageing, participants with lower levels of vascular burden had greater functional connectivity response in the target posterior default mode network. Those with low levels of vascular pathology in the MCI cohort had increased functional connectivity of the right insula and claustrum within the salience network. Burden did not, however, predict cognitive or neuroanatomical changes. Conclusions The current research evidences the modulatory effect of cerebrovascular pathology in interventions aimed at re-establishing network connectivity to prevent cognitive deterioration and delay the transition to the dementia stage of AD. Examination of co-occurring vascular pathology may improve precision in targeting treatment to MCI candidates who may respond optimally to such cognitive interventions.
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16
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Babulal GM, Quiroz YT, Albensi BC, Arenaza-Urquijo E, Astell AJ, Babiloni C, Bahar-Fuchs A, Bell J, Bowman GL, Brickman AM, Chételat G, Ciro C, Cohen AD, Dilworth-Anderson P, Dodge HH, Dreux S, Edland S, Esbensen A, Evered L, Ewers M, Fargo KN, Fortea J, Gonzalez H, Gustafson DR, Head E, Hendrix JA, Hofer SM, Johnson LA, Jutten R, Kilborn K, Lanctôt KL, Manly JJ, Martins RN, Mielke MM, Morris MC, Murray ME, Oh ES, Parra MA, Rissman RA, Roe CM, Santos OA, Scarmeas N, Schneider LS, Schupf N, Sikkes S, Snyder HM, Sohrabi HR, Stern Y, Strydom A, Tang Y, Terrera GM, Teunissen C, Melo van Lent D, Weinborn M, Wesselman L, Wilcock DM, Zetterberg H, O'Bryant SE. Perspectives on ethnic and racial disparities in Alzheimer's disease and related dementias: Update and areas of immediate need. Alzheimers Dement 2019; 15:292-312. [PMID: 30555031 PMCID: PMC6368893 DOI: 10.1016/j.jalz.2018.09.009] [Citation(s) in RCA: 307] [Impact Index Per Article: 61.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Revised: 07/12/2018] [Accepted: 09/13/2018] [Indexed: 02/07/2023]
Abstract
Alzheimer's disease and related dementias (ADRDs) are a global crisis facing the aging population and society as a whole. With the numbers of people with ADRDs predicted to rise dramatically across the world, the scientific community can no longer neglect the need for research focusing on ADRDs among underrepresented ethnoracial diverse groups. The Alzheimer's Association International Society to Advance Alzheimer's Research and Treatment (ISTAART; alz.org/ISTAART) comprises a number of professional interest areas (PIAs), each focusing on a major scientific area associated with ADRDs. We leverage the expertise of the existing international cadre of ISTAART scientists and experts to synthesize a cross-PIA white paper that provides both a concise "state-of-the-science" report of ethnoracial factors across PIA foci and updated recommendations to address immediate needs to advance ADRD science across ethnoracial populations.
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Affiliation(s)
- Ganesh M Babulal
- Department of Neurology and Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Yakeel T Quiroz
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Benedict C Albensi
- Division of Neurodegenerative Disorders, St. Boniface Hospital Albrechtsen Research Centre, Winnipeg, Manitoba, Canada; Department of Pharmacology & Therapeutics, University of Manitoba, Winnipeg, Manitoba, Canada
| | | | - Arlene J Astell
- Department of Occupational Sciences & Occupational Therapy, University of Toronto, CA; School of Psychology and Clinical Language Sciences, University of Reading, UK
| | - Claudio Babiloni
- Department of Physiology and Pharmacology "V. Erspamer", Sapienza University of Rome, Rome, Italy; Department of Neuroscience, IRCCS-Hospital San Raffaele Pisana of Rome and Cassino, Rome and Cassino, Italy
| | - Alex Bahar-Fuchs
- Academic Unit for Psychiatry of Old Age, Department of Psychiatry, the University of Melbourne, Australia
| | | | - Gene L Bowman
- Nutrition and Brain Health Laboratory, Nestlé Institute of Health Sciences, Lausanne, Switzerland; Department of Neurology, Layton Aging & Alzheimer's Disease Center, Oregon Health & Science University, Portland, OR, USA
| | - Adam M Brickman
- Taub Institute for Research in Alzheimer's Disease and the Aging Brain, The Gertrude H. Sergievsky Center, Department of Neurology, Columbia University, New York, NY, USA
| | - Gaël Chételat
- Inserm, Inserm UMR-S U1237, Université de Caen-Normandie, GIP Cyceron, Caen, France
| | - Carrie Ciro
- Department of Occupational Therapy Education, University of Kansas Medical Center, Kansas City, KS, USA
| | - Ann D Cohen
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | | | - Hiroko H Dodge
- Department of Neurology, Layton Aging and Alzheimer's Disease Center, Oregon Health & Science University, Portland, OR, USA
| | - Simone Dreux
- Undergraduate Program of History and Science, Harvard College, Cambridge, MA, USA
| | - Steven Edland
- Department of Family Medicine and Public Health, University of California, San Diego, CA, USA
| | - Anna Esbensen
- Department of Pediatrics, University of Cincinnati College of Medicine & Division of Developmental and Behavioral Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Lisbeth Evered
- Melbourne Medical School, University of Melbourne, Australia
| | - Michael Ewers
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Munich, Germany
| | - Keith N Fargo
- Medical & Scientific Relations, Alzheimer's Association, Chicago, IL, USA
| | - Juan Fortea
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain; Barcelona Down Medical Center, Fundació Catalana de Síndrome de Down, Barcelona, Spain
| | - Hector Gonzalez
- Department of Neurosciences and Shiley-Marcos Alzheimer's Disease Research Center, University of San Diego, CA, USA
| | - Deborah R Gustafson
- Department of Neurology, Section for NeuroEpidemiology, State University of New York - Downstate Medical Center, Brooklyn, NY, USA
| | - Elizabeth Head
- Sanders Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - James A Hendrix
- Medical & Scientific Relations, Alzheimer's Association, Chicago, IL, USA
| | - Scott M Hofer
- Adult Development and Aging, University of Victoria, British Columbia, CA, USA
| | - Leigh A Johnson
- Department of Pharmacology & Neuroscience, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Roos Jutten
- VU University Medical Center, Department of Neurology, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Kerry Kilborn
- Department of Psychology, University of Glasgow, Glasgow, Scotland, UK
| | - Krista L Lanctôt
- Sunnybrook Research Institute of Psychiatry and Pharmacology, University of Toronto, Toronto, ON, Canada
| | - Jennifer J Manly
- Taub Institute for Research in Alzheimer's Disease and the Aging Brain, The Gertrude H. Sergievsky Center, Department of Neurology, Columbia University, New York, NY, USA
| | - Ralph N Martins
- Aging and Alzheimer's Disease, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
| | - Michelle M Mielke
- Department of Epidemiology, Mayo Clinic, Rochester, MN, USA; Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | | | | | - Esther S Oh
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mario A Parra
- School of Social Sciences, Department of Psychology, Heriot-Watt University, UK; Universidad Autónoma del Caribe, Barranquilla, Colombia; Neuroprogressive and Dementia Network, UK
| | - Robert A Rissman
- Department of Neurosciences, University of California San Diego School of Medicine, CA, USA
| | - Catherine M Roe
- Department of Neurology and Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Octavio A Santos
- Department of Psychiatry and Psychology, Mayo Clinic, Jacksonville, FL, USA
| | - Nikolaos Scarmeas
- Taub Institute for Research in Alzheimer's Disease and the Aging Brain, The Gertrude H. Sergievsky Center, Department of Neurology, Columbia University, New York, NY, USA; Aiginition Hospital, 1st Neurology Clinic, Department of Social Medicine, Psychiatry and Neurology, National and Kapodistrian University of Athens, Athens, Greece
| | - Lon S Schneider
- Department of Psychiatry and The Behavioral Sciences, University of Southern California, CA, USA
| | - Nicole Schupf
- Department of Epidemiology, Mailman School of Public Health Columbia University, New York, NY, USA
| | - Sietske Sikkes
- Massachusetts General Hospital, Department of Neurology, Boston, MA, USA
| | - Heather M Snyder
- Medical & Scientific Relations, Alzheimer's Association, Chicago, IL, USA
| | - Hamid R Sohrabi
- Aging and Alzheimer's Disease, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
| | - Yaakov Stern
- Department of Neurology, Columbia University, New York, NY, USA; Department of Psychiatry, Columbia University, New York, NY, USA
| | - Andre Strydom
- Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| | - Yi Tang
- Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, China
| | - Graciela Muniz Terrera
- Centers for Clinical Brain Sciences and Dementia Prevention, University in Edinburgh, Scotland, UK
| | - Charlotte Teunissen
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit University Medical Center, Amsterdam, the Netherlands
| | - Debora Melo van Lent
- Department of Clinical Research, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Michael Weinborn
- Aging and Alzheimer's Disease, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
| | | | - Donna M Wilcock
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit University Medical Center, Amsterdam, the Netherlands
| | - Henrik Zetterberg
- UK Dementia Research Institute at UCL, London, UK; Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London, UK; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Sid E O'Bryant
- Department of Pharmacology & Neuroscience, University of North Texas Health Science Center, Fort Worth, TX, USA.
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17
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Vonk JMJ, Flores RJ, Rosado D, Qian C, Cabo R, Habegger J, Louie K, Allocco E, Brickman AM, Manly JJ. Semantic network function captured by word frequency in nondemented APOE ε4 carriers. Neuropsychology 2018; 33:256-262. [PMID: 30489116 DOI: 10.1037/neu0000508] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
OBJECTIVE Accurate identification of the earliest cognitive changes associated with Alzheimer's disease (AD) is critically needed. Item-level information within tests of category fluency, such as lexical frequency, harbors valuable information about the integrity of semantic networks affected early in AD. To determine the potential of lexical frequency as a cognitive marker of AD risk, we investigated whether lexical frequency of animal fluency output differentiated APOE ε4 carriers from noncarriers in a cross-sectional design among older African-American adults without dementia. METHOD We analyzed animal fluency performance using mean number of items and mean lexical frequency among 230 cognitively normal African Americans with and without the APOE ε4 allele. RESULTS Lexical frequency was higher in APOE ε4 carriers than noncarriers when analyzed as a mean score and within time bins. In contrast, we found no group difference in the number of items produced. Lexical frequency was particularly sensitive to ε4 status after the first 10 s of the 60-s animal fluency task. CONCLUSION Our results suggest that psycholinguistic features may hold value as a cognitive biomarker for identifying people at high risk of AD. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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Affiliation(s)
- Jet M J Vonk
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain
| | - Roxanna J Flores
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain
| | - Dayanara Rosado
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain
| | - Carolyn Qian
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain
| | - Raquel Cabo
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain
| | - Josina Habegger
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain
| | - Karmen Louie
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain
| | - Elizabeth Allocco
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain
| | - Adam M Brickman
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain
| | - Jennifer J Manly
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain
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18
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Logue MW, Lancour D, Farrell J, Simkina I, Fallin MD, Lunetta KL, Farrer LA. Targeted Sequencing of Alzheimer Disease Genes in African Americans Implicates Novel Risk Variants. Front Neurosci 2018; 12:592. [PMID: 30210277 PMCID: PMC6119822 DOI: 10.3389/fnins.2018.00592] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Accepted: 08/07/2018] [Indexed: 11/16/2022] Open
Abstract
The genetic architecture of late-onset Alzheimer disease (AD) in African Americans (AAs) differs from that in persons of European ancestry. In addition to APOE, genome-wide association studies (GWASs) of AD in AA samples have implicated ABCA7, COBL, and SLC10A2 as AA-AD risk genes. Previously, we identified by whole exome sequencing a small number of AA AD cases and subsequent genotyping in a large AA sample of AD cases and controls association of AD risk with a pair of rare missense variants in AKAP9. In this study, we performed targeted deep sequencing (including both introns and exons) of approximately 100 genes previously linked to AD or AD-related traits in an AA cohort of 489 AD cases and 472 controls to find novel AD risk variants. We observed association with an 11 base-pair frame-shift loss-of-function (LOF) variant in ABCA7 (rs567222111) for which the evidence was bolstered when combined with data from a replication AA cohort of 484 cases and 484 controls (OR = 2.42, p = 0.022). We also found association of AD with a rare 9 bp deletion (rs371245265) located very close to the AKAP9 transcription start site (rs371245265, OR = 10.75, p = 0.0053). The most significant findings were obtained with a rare protective variant in F5 (OR = 0.053, p = 6.40 × 10-5), a gene that was previously associated with a brain MRI measure of hippocampal atrophy, and two common variants in KIAA0196 (OR = 1.51, p<8.6 × 10-5). Gene-based tests of aggregated rare variants yielded several nominally significant associations with KANSL1, CNN2, and TRIM35. Although no associations passed multiple test correction, our study adds to a body of literature demonstrating the utility of examining sequence data from multiple ethnic populations for discovery of new and impactful risk variants. Larger sample sizes will be needed to generate well-powered epidemiological investigations of rare variation, and functional studies are essential for establishing the pathogenicity of variants identified by sequencing.
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Affiliation(s)
- Mark W Logue
- National Center for Posttraumatic Stress Disorder (PTSD), United States Department of Veterans Affairs, Boston Healthcare System, Boston, MA, United States.,Department of Psychiatry, Boston University School of Medicine, Boston University, Boston, MA, United States.,Biomedical Genetics, Department of Medicine, Boston University School of Medicine, Boston University, Boston, MA, United States.,Department of Biostatistics, Boston University School of Public Health, Boston University, Boston, MA, United States
| | - Daniel Lancour
- Biomedical Genetics, Department of Medicine, Boston University School of Medicine, Boston University, Boston, MA, United States
| | - John Farrell
- Biomedical Genetics, Department of Medicine, Boston University School of Medicine, Boston University, Boston, MA, United States
| | - Irina Simkina
- Biomedical Genetics, Department of Medicine, Boston University School of Medicine, Boston University, Boston, MA, United States
| | - M Daniele Fallin
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Kathryn L Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston University, Boston, MA, United States
| | - Lindsay A Farrer
- Biomedical Genetics, Department of Medicine, Boston University School of Medicine, Boston University, Boston, MA, United States.,Department of Biostatistics, Boston University School of Public Health, Boston University, Boston, MA, United States.,Departments of Neurology and Ophthalmology, Boston University School of Medicine, Boston University, Boston, MA, United States.,Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States
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19
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Ai L, Yang F, Song J, Chen Y, Xiao L, Wang Q, Wang L, Li H, Lei T, Huang Z. Inhibition of Abeta Proteotoxicity by Paeoniflorin in Caenorhabditis elegans Through Regulation of Oxidative and Heat Shock Stress Responses. Rejuvenation Res 2018; 21:304-312. [DOI: 10.1089/rej.2017.1966] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Liping Ai
- School of Pharmaceutical Sciences, Wuhan University, Wuhan, China
| | - Fan Yang
- School of Pharmaceutical Sciences, Wuhan University, Wuhan, China
- Institute of Forensic Science, Ministry of Public Security, Beijing, China
| | - Jie Song
- School of Pharmaceutical Sciences, Wuhan University, Wuhan, China
- Center for Bioresources & Drug Discovery and School of Biosciences & Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, China
| | - Yan Chen
- School of Pharmaceutical Sciences, Wuhan University, Wuhan, China
| | - Lingyun Xiao
- School of Pharmaceutical Sciences, Wuhan University, Wuhan, China
| | - Qiangqiang Wang
- School of Pharmaceutical Sciences, Wuhan University, Wuhan, China
| | - Liangyi Wang
- Center for Bioresources & Drug Discovery and School of Biosciences & Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, China
| | - Haifeng Li
- School of Pharmaceutical Sciences, Wuhan University, Wuhan, China
- Center for Bioresources & Drug Discovery and School of Biosciences & Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, China
| | - Tao Lei
- Department of Rehabilitation Medicine, Wuhan Children's Hospital, Wuhan, China
| | - Zebo Huang
- School of Pharmaceutical Sciences, Wuhan University, Wuhan, China
- Center for Bioresources & Drug Discovery and School of Biosciences & Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, China
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20
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Lam CLM, Yiend J, Lee TMC. Imaging and neuropsychological correlates of white matter lesions in different subtypes of Mild Cognitive Impairment: A systematic review. NeuroRehabilitation 2018; 41:189-204. [PMID: 28527230 DOI: 10.3233/nre-171471] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND White matter lesions (WML) are prevalent in older adults. The association between WML and cognition in different subtypes of Mild Cognitive Impairment (MCI) is inconsistent in the literature. OBJECTVES We aim to provide a systematic review on the impact of WML in different subtypes of MCI, and discuss the recent findings on white matter plasticity. METHODS We reviewed peer-reviewed articles from January 2011 to August 2016 and identified 12 studies investigating the association between WML and subtypes of MCI with both neuroimaging and cognitive measures. RESULTS Our review shows that 1) WM abnormality was identified between different subtypes of MCI and healthy controls on diffusion imaging; 2) neither visual ratings of WML nor its volumetry differentiate different subtypes of MCI or its prognosis to dementia; and 3) cognitive correlates of WML were evident in the Amnestic-type MCI in the domains of memory, language, psychomotor speed, attention and executive functions. CONCLUSION Cognitive reserve and the plasticity of white matter may modulate the impact of WML on the manifestation of the neurodegenerative disease. Further research is needed to study the plasticity of white matter in the MCI population to evaluate its potential clinical application.
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Affiliation(s)
- Charlene L M Lam
- Laboratory of Neuropsychology, The University of Hong Kong, Hong Kong.,Institute of Clinical Neuropsychology, The University of Hong Kong, Hong Kong
| | - Jenny Yiend
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Tatia M C Lee
- Laboratory of Neuropsychology, The University of Hong Kong, Hong Kong.,Institute of Clinical Neuropsychology, The University of Hong Kong, Hong Kong.,The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong
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21
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Hirsiger S, Koppelmans V, Mérillat S, Erdin C, Narkhede A, Brickman AM, Jäncke L. Executive Functions in Healthy Older Adults Are Differentially Related to Macro- and Microstructural White Matter Characteristics of the Cerebral Lobes. Front Aging Neurosci 2017; 9:373. [PMID: 29249957 PMCID: PMC5715235 DOI: 10.3389/fnagi.2017.00373] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2017] [Accepted: 10/31/2017] [Indexed: 01/13/2023] Open
Abstract
Aging is associated with microstructural white matter (WM) changes. WM microstructural characteristics, measured with diffusion tensor imaging (DTI), are different in normal appearing white matter (NAWM) and WM hyperintensities (WMH). It is largely unknown how the microstructural properties of WMH are associated with cognition and if there are regional effects for specific cognitive domains. We therefore examined within 200 healthy older participants (a) differences in microstructural characteristics of NAWM and WMH per cerebral lobe; and (b) the association of macrostructural (WMH volume) and microstructural characteristics (within NAWM and WMH separately) of each lobe with measures of executive function and processing speed. Multi-modal imaging (i.e., T1, DTI, and FLAIR) was used to assess WM properties. The Stroop and the Trail Making Test were used to measure inhibition, task-switching (both components of executive function), and processing speed. We observed that age was associated with deterioration of white matter microstructure of the NAWM, most notably in the frontal lobe. Older participants had larger WMH volumes and lowest fractional anisotropy values within WMH were found in the frontal lobe. Task-switching was associated with cerebral NAWM volume and NAWM volume of all lobes. Processing speed was associated with total NAWM volume, and microstructural properties of parietal NAWM, the parietal WMH, and the temporal NAWM. Task-switching was related to microstructural properties of WMH of the frontal lobe and WMH volume of the parietal lobe. Our results confirm that executive functioning and processing speed are uniquely associated with macro- and microstructural properties of NAWM and WMH. We further demonstrate for the first time that these relationships differ by lobar region. This warrants the consideration of these distinct WM indices when investigating cognitive function.
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Affiliation(s)
- Sarah Hirsiger
- International Normal Aging and Plasticity Imaging Center, University of Zurich, Zurich, Switzerland.,University Research Priority Program Dynamics of Healthy Aging, University of Zurich, Zurich, Switzerland
| | - Vincent Koppelmans
- Department of Psychiatry, University of Utah, Salt Lake City, UT, United States.,School of Kinesiology, University of Michigan, Ann Arbor, MI, United States
| | - Susan Mérillat
- International Normal Aging and Plasticity Imaging Center, University of Zurich, Zurich, Switzerland.,University Research Priority Program Dynamics of Healthy Aging, University of Zurich, Zurich, Switzerland
| | - Cornelia Erdin
- International Normal Aging and Plasticity Imaging Center, University of Zurich, Zurich, Switzerland.,University Research Priority Program Dynamics of Healthy Aging, University of Zurich, Zurich, Switzerland
| | - Atul Narkhede
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, United States
| | - Adam M Brickman
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, United States
| | - Lutz Jäncke
- International Normal Aging and Plasticity Imaging Center, University of Zurich, Zurich, Switzerland.,University Research Priority Program Dynamics of Healthy Aging, University of Zurich, Zurich, Switzerland.,Division of Neuropsychology, University of Zurich, Zurich, Switzerland.,Department of Special Education, King Abdulaziz University, Jeddah, Saudi Arabia
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22
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Microstructural White Matter Alterations in the Corpus Callosum of Girls With Conduct Disorder. J Am Acad Child Adolesc Psychiatry 2017; 56:258-265.e1. [PMID: 28219492 DOI: 10.1016/j.jaac.2016.12.006] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2016] [Revised: 12/14/2016] [Accepted: 12/20/2016] [Indexed: 11/21/2022]
Abstract
OBJECTIVE Diffusion tensor imaging (DTI) studies in adolescent conduct disorder (CD) have demonstrated white matter alterations of tracts connecting functionally distinct fronto-limbic regions, but only in boys or mixed-gender samples. So far, no study has investigated white matter integrity in girls with CD on a whole-brain level. Therefore, our aim was to investigate white matter alterations in adolescent girls with CD. METHOD We collected high-resolution DTI data from 24 girls with CD and 20 typically developing control girls using a 3T magnetic resonance imaging system. Fractional anisotropy (FA) and mean diffusivity (MD) were analyzed for whole-brain as well as a priori-defined regions of interest, while controlling for age and intelligence, using a voxel-based analysis and an age-appropriate customized template. RESULTS Whole-brain findings revealed white matter alterations (i.e., increased FA) in girls with CD bilaterally within the body of the corpus callosum, expanding toward the right cingulum and left corona radiata. The FA and MD results in a priori-defined regions of interest were more widespread and included changes in the cingulum, corona radiata, fornix, and uncinate fasciculus. These results were not driven by age, intelligence, or attention-deficit/hyperactivity disorder comorbidity. CONCLUSION This report provides the first evidence of white matter alterations in female adolescents with CD as indicated through white matter reductions in callosal tracts. This finding enhances current knowledge about the neuropathological basis of female CD. An increased understanding of gender-specific neuronal characteristics in CD may influence diagnosis, early detection, and successful intervention strategies.
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23
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Ruan Q, D'Onofrio G, Sancarlo D, Bao Z, Greco A, Yu Z. Potential neuroimaging biomarkers of pathologic brain changes in Mild Cognitive Impairment and Alzheimer's disease: a systematic review. BMC Geriatr 2016; 16:104. [PMID: 27184250 PMCID: PMC4869390 DOI: 10.1186/s12877-016-0281-7] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2016] [Accepted: 05/09/2016] [Indexed: 12/16/2022] Open
Abstract
Background Neuroimaging-biomarkers of Mild Cognitive Impairment (MCI) allow an early diagnosis in preclinical stages of Alzheimer’s disease (AD). The goal in this paper was to review of biomarkers for Mild Cognitive Impairment (MCI) and Alzheimer’s disease (AD), with emphasis on neuroimaging biomarkers. Methods A systematic review was conducted from existing literature that draws on markers and evidence for new measurement techniques of neuroimaging in AD, MCI and non-demented subjects. Selection criteria included: 1) age ≥ 60 years; 2) diagnosis of AD according to NIAAA criteria, 3) diagnosis of MCI according to NIAAA criteria with a confirmed progression to AD assessed by clinical follow-up, and 4) acceptable clinical measures of cognitive impairment, disability, quality of life, and global clinical assessments. Results Seventy-two articles were included in the review. With the development of new radioligands of neuroimaging, today it is possible to measure different aspects of AD neuropathology, early diagnosis of MCI and AD become probable from preclinical stage of AD to AD dementia and non-AD dementia. Conclusions The panel of noninvasive neuroimaging-biomarkers reviewed provides a set methods to measure brain structural and functional pathophysiological changes in vivo, which are closely associated with preclinical AD, MCI and non-AD dementia. The dynamic measures of these imaging biomarkers are used to predict the disease progression in the early stages and improve the assessment of therapeutic efficacy in these diseases in future clinical trials.
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Affiliation(s)
- Qingwei Ruan
- Shanghai Institute of Geriatrics and Gerontology, Shanghai Key Laboratory of Clinical Geriatrics, Department of Geriatrics, Huadong Hospital, and Research Center of Aging and Medicine, Shanghai Medical College, Fudan University, Shanghai, 200040, China
| | - Grazia D'Onofrio
- Geriatric Unit & Laboratory of Gerontology and Geriatrics, Department of Medical Sciences, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Foggia, Italy.
| | - Daniele Sancarlo
- Geriatric Unit & Laboratory of Gerontology and Geriatrics, Department of Medical Sciences, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Foggia, Italy
| | - Zhijun Bao
- Shanghai Institute of Geriatrics and Gerontology, Shanghai Key Laboratory of Clinical Geriatrics, Department of Geriatrics, Huadong Hospital, and Research Center of Aging and Medicine, Shanghai Medical College, Fudan University, Shanghai, 200040, China
| | - Antonio Greco
- Geriatric Unit & Laboratory of Gerontology and Geriatrics, Department of Medical Sciences, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Foggia, Italy
| | - Zhuowei Yu
- Shanghai Institute of Geriatrics and Gerontology, Shanghai Key Laboratory of Clinical Geriatrics, Department of Geriatrics, Huadong Hospital, and Research Center of Aging and Medicine, Shanghai Medical College, Fudan University, Shanghai, 200040, China. .,Huadong Hospital, Shanghai Medical College, Fudan University, 221 West Yan An Road, Shanghai, 200040, P.R. China.
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24
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Dries DR, Zhu Y, Brooks MM, Forero DA, Adachi M, Cenik B, West JM, Han YH, Yu C, Arbella J, Nordin A, Adolfsson R, Del-Favero J, Lu QR, Callaerts P, Birnbaum SG, Yu G. Loss of Nicastrin from Oligodendrocytes Results in Hypomyelination and Schizophrenia with Compulsive Behavior. J Biol Chem 2016; 291:11647-56. [PMID: 27008863 DOI: 10.1074/jbc.m116.715078] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2016] [Indexed: 12/12/2022] Open
Abstract
The biological underpinnings and the pathological lesions of psychiatric disorders are centuries-old questions that have yet to be understood. Recent studies suggest that schizophrenia and related disorders likely have their origins in perturbed neurodevelopment and can result from a large number of common genetic variants or multiple, individually rare genetic alterations. It is thus conceivable that key neurodevelopmental pathways underline the various genetic changes and the still unknown pathological lesions in schizophrenia. Here, we report that mice defective of the nicastrin subunit of γ-secretase in oligodendrocytes have hypomyelination in the central nervous system. These mice have altered dopamine signaling and display profound abnormal phenotypes reminiscent of schizophrenia. In addition, we identify an association of the nicastrin gene with a human schizophrenia cohort. These observations implicate γ-secretase and its mediated neurodevelopmental pathways in schizophrenia and provide support for the "myelination hypothesis" of the disease. Moreover, by showing that schizophrenia and obsessive-compulsive symptoms could be modeled in animals wherein a single genetic factor is altered, our work provides a biological basis that schizophrenia with obsessive-compulsive disorder is a distinct subtype of schizophrenia.
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Affiliation(s)
- Daniel R Dries
- From the Departments of Neuroscience, the Chemistry Department, Juniata College, Huntingdon, Pennsylvania 16652
| | - Yi Zhu
- From the Departments of Neuroscience
| | | | - Diego A Forero
- the Laboratory of NeuroPsychiatric Genetics, Biomedical Sciences Research Group, School of Medicine, Universidad Antonio Nariño, 37-94 Bogotá, Colombia
| | | | | | | | | | - Cong Yu
- From the Departments of Neuroscience
| | - Jennifer Arbella
- the Chemistry Department, Juniata College, Huntingdon, Pennsylvania 16652
| | - Annelie Nordin
- the Division of Psychiatry, Department of Clinical Sciences, Umea University, SE-901 87 Umea, Sweden
| | - Rolf Adolfsson
- the Division of Psychiatry, Department of Clinical Sciences, Umea University, SE-901 87 Umea, Sweden
| | - Jurgen Del-Favero
- the Applied Molecular Genomics Unit, VIB Department of Molecular Genetics, University of Antwerp, 2610 Antwerp, Belgium
| | - Q Richard Lu
- the Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio 45229, and Developmental Biology, University of Texas Southwestern Medical Center at Dallas, Dallas, Texas 75390
| | - Patrick Callaerts
- the Laboratory of Behavioral and Developmental Genetics, Katholieke Universiteit Leuven Center for Human Genetics, VIB Center for the Biology of Disease, 3000 Leuven, Belgium
| | | | - Gang Yu
- From the Departments of Neuroscience,
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Cai Z, Wang C, He W, Tu H, Tang Z, Xiao M, Yan LJ. Cerebral small vessel disease and Alzheimer's disease. Clin Interv Aging 2015; 10:1695-704. [PMID: 26604717 PMCID: PMC4629951 DOI: 10.2147/cia.s90871] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
Cerebral small vessel disease (CSVD) is a group of pathological processes with multifarious etiology and pathogenesis that are involved into the small arteries, arterioles, venules, and capillaries of the brain. CSVD mainly contains lacunar infarct or lacunar stroke, leukoaraiosis, Binswanger's disease, and cerebral microbleeds. CSVD is an important cerebral microvascular pathogenesis as it is the cause of 20% of strokes worldwide and the most common cause of cognitive impairment and dementia, including vascular dementia and Alzheimer's disease (AD). It has been well identified that CSVD contributes to the occurrence of AD. It seems that the treatment and prevention for cerebrovascular diseases with statins have such a role in the same function for AD. So far, there is no strong evidence-based medicine to support the idea, although increasing basic studies supported the fact that the treatment and prevention for cerebrovascular diseases will benefit AD. Furthermore, there is still lack of evidence in clinical application involved in specific drugs to benefit both AD and CSVD.
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Affiliation(s)
- Zhiyou Cai
- Department of Neurology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei Province, People’s Republic of China
| | - Chuanling Wang
- Department of Neurology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei Province, People’s Republic of China
| | - Wenbo He
- Department of Neurology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei Province, People’s Republic of China
| | - Hanjun Tu
- Department of Basic Research Center, Hubei University of Medicine, Shiyan, Hubei Province, People’s Republic of China
| | - Zhengang Tang
- Department of Neurosurgery, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei Province, People’s Republic of China
| | - Ming Xiao
- Department of Anatomy, Nanjing Medical University, Nanjing, Jiangsu, People’s Republic of China
| | - Liang-Jun Yan
- Department of Pharmaceutical Sciences, UNT System College of Pharmacy, University of North Texas Health Science Center, Fort Worth, TX, USA
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26
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Age exacerbates HIV-associated white matter abnormalities. J Neurovirol 2015; 22:201-12. [PMID: 26446690 DOI: 10.1007/s13365-015-0386-3] [Citation(s) in RCA: 57] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2015] [Revised: 09/15/2015] [Accepted: 09/21/2015] [Indexed: 12/19/2022]
Abstract
Both HIV disease and advanced age have been associated with alterations to cerebral white matter, as measured with white matter hyperintensities (WMH) on fluid-attenuated inversion recovery (FLAIR) magnetic resonance imaging (MRI), and more recently with diffusion tensor imaging (DTI). This study investigates the combined effects of age and HIV serostatus on WMH and DTI measures, as well as the relationships between these white matter measures, in 88 HIV seropositive (HIV+) and 49 seronegative (HIV-) individuals aged 23-79 years. A whole-brain volumetric measure of WMH was quantified from FLAIR images using a semi-automated process, while fractional anisotropy (FA) was calculated for 15 regions of a whole-brain white matter skeleton generated using tract-based spatial statistics (TBSS). An age by HIV interaction was found indicating a significant association between WMH and older age in HIV+ participants only. Similarly, significant age by HIV interactions were found indicating stronger associations between older age and decreased FA in the posterior limbs of the internal capsules, cerebral peduncles, and anterior corona radiata in HIV+ vs. HIV- participants. The interactive effects of HIV and age were stronger with respect to whole-brain WMH than for any of the FA measures. Among HIV+ participants, greater WMH and lower anterior corona radiata FA were associated with active hepatitis C virus infection, a history of AIDS, and higher current CD4 cell count. Results indicate that age exacerbates HIV-associated abnormalities of whole-brain WMH and fronto-subcortical white matter integrity.
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27
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Ritchie SJ, Booth T, Valdés Hernández MDC, Corley J, Maniega SM, Gow AJ, Royle NA, Pattie A, Karama S, Starr JM, Bastin ME, Wardlaw JM, Deary IJ. Beyond a bigger brain: Multivariable structural brain imaging and intelligence. INTELLIGENCE 2015; 51:47-56. [PMID: 26240470 PMCID: PMC4518535 DOI: 10.1016/j.intell.2015.05.001] [Citation(s) in RCA: 57] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2015] [Revised: 04/15/2015] [Accepted: 05/01/2015] [Indexed: 10/29/2022]
Abstract
People with larger brains tend to score higher on tests of general intelligence (g). It is unclear, however, how much variance in intelligence other brain measurements would account for if included together with brain volume in a multivariable model. We examined a large sample of individuals in their seventies (n = 672) who were administered a comprehensive cognitive test battery. Using structural equation modelling, we related six common magnetic resonance imaging-derived brain variables that represent normal and abnormal features-brain volume, cortical thickness, white matter structure, white matter hyperintensity load, iron deposits, and microbleeds-to g and to fluid intelligence. As expected, brain volume accounted for the largest portion of variance (~ 12%, depending on modelling choices). Adding the additional variables, especially cortical thickness (+~ 5%) and white matter hyperintensity load (+~ 2%), increased the predictive value of the model. Depending on modelling choices, all neuroimaging variables together accounted for 18-21% of the variance in intelligence. These results reveal which structural brain imaging measures relate to g over and above the largest contributor, total brain volume. They raise questions regarding which other neuroimaging measures might account for even more of the variance in intelligence.
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Affiliation(s)
- Stuart J. Ritchie
- Department of Psychology, The University of Edinburgh, United Kingdom
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, United Kingdom
| | - Tom Booth
- Department of Psychology, The University of Edinburgh, United Kingdom
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, United Kingdom
| | - Maria del C. Valdés Hernández
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, The University of Edinburgh, United Kingdom
- Brain Research Imaging Centre, The University of Edinburgh, United Kingdom
- Scottish Imaging Network, a Platform for Scientific Excellence (SINAPSE), United Kingdom
| | - Janie Corley
- Department of Psychology, The University of Edinburgh, United Kingdom
| | - Susana Muñoz Maniega
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, The University of Edinburgh, United Kingdom
- Brain Research Imaging Centre, The University of Edinburgh, United Kingdom
- Scottish Imaging Network, a Platform for Scientific Excellence (SINAPSE), United Kingdom
| | - Alan J. Gow
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, United Kingdom
- Department of Psychology, School of Life Sciences, Heriot-Watt University, United Kingdom
| | - Natalie A. Royle
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, The University of Edinburgh, United Kingdom
- Brain Research Imaging Centre, The University of Edinburgh, United Kingdom
- Scottish Imaging Network, a Platform for Scientific Excellence (SINAPSE), United Kingdom
| | - Alison Pattie
- Department of Psychology, The University of Edinburgh, United Kingdom
| | - Sherif Karama
- Department of Neurology and Neurosurgery, McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Canada
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Canada
| | - John M. Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, United Kingdom
- Alzheimer Scotland Dementia Research Centre, The University of Edinburgh, United Kingdom
| | - Mark E. Bastin
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, The University of Edinburgh, United Kingdom
- Brain Research Imaging Centre, The University of Edinburgh, United Kingdom
- Scottish Imaging Network, a Platform for Scientific Excellence (SINAPSE), United Kingdom
| | - Joanna M. Wardlaw
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, The University of Edinburgh, United Kingdom
- Brain Research Imaging Centre, The University of Edinburgh, United Kingdom
- Scottish Imaging Network, a Platform for Scientific Excellence (SINAPSE), United Kingdom
| | - Ian J. Deary
- Department of Psychology, The University of Edinburgh, United Kingdom
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, United Kingdom
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28
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Cohen RA, Seider TR, Navia B. HIV effects on age-associated neurocognitive dysfunction: premature cognitive aging or neurodegenerative disease? ALZHEIMERS RESEARCH & THERAPY 2015; 7:37. [PMID: 25848401 PMCID: PMC4386102 DOI: 10.1186/s13195-015-0123-4] [Citation(s) in RCA: 97] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Marked improvements in survival and health outcome for people infected with HIV have occurred since the advent of combination antiretroviral therapy over a decade ago. Yet HIV-associated neurocognitive disorders continue to occur with an alarming prevalence. This may reflect the fact that infected people are now living longer with chronic infection. There is mounting evidence that HIV exacerbates age-associated cognitive decline. Many middle-aged HIV-infected people are experiencing cognitive decline similar that to that found among much older adults. An increased prevalence of vascular and metabolic comorbidities has also been observed and is greatest among older adults with HIV. Premature age-associated neurocognitive decline appears to be related to structural and functional brain changes on neuroimaging, and of particular concern is the fact that pathology indicative of neurodegenerative disease has been shown to occur in the brains of HIV-infected people. Yet notable differences also exist between the clinical presentation and brain disturbances occurring with HIV and those occurring in neurodegenerative conditions such as Alzheimer’s disease. HIV interacts with the aging brain to affect neurological structure and function. However, whether this interaction directly affects neurodegenerative processes, accelerates normal cognitive aging, or contributes to a worsening of other comorbidities that affect the brain in older adults remains an open question. Evidence for and against each of these possibilities is reviewed.
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Affiliation(s)
- Ronald A Cohen
- Departments of Neurology, Cognitive Aging and Memory Program, Institute on Aging, Psychiatry, and Aging and Geriatric Research, University of Florida, 2004 Mowry Road, Gainesville, FL 32610 USA
| | - Talia R Seider
- Departments of Neurology, Cognitive Aging and Memory Program, Institute on Aging, Psychiatry, and Aging and Geriatric Research, University of Florida, 2004 Mowry Road, Gainesville, FL 32610 USA ; Department of Clinical and Health Psychology, University of Florida, 1225 Center Drive, Room 3151, Gainesville, FL 32611 USA
| | - Bradford Navia
- Department of Public Health and Community Medicine, Tufts University School of Medicine, 150 Harrison Avenue, Boston, MA 02111 USA
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29
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Brickman AM, Zahodne LB, Guzman VA, Narkhede A, Meier IB, Griffith EY, Provenzano FA, Schupf N, Manly JJ, Stern Y, Luchsinger JA, Mayeux R. Reconsidering harbingers of dementia: progression of parietal lobe white matter hyperintensities predicts Alzheimer's disease incidence. Neurobiol Aging 2015; 36:27-32. [PMID: 25155654 PMCID: PMC4268124 DOI: 10.1016/j.neurobiolaging.2014.07.019] [Citation(s) in RCA: 172] [Impact Index Per Article: 19.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2014] [Revised: 07/12/2014] [Accepted: 07/16/2014] [Indexed: 01/27/2023]
Abstract
Accumulating evidence implicates small vessel cerebrovascular disease, visualized as white matter hyperintensities (WMH) on T2-weighted magnetic resonance imaging, in the pathogenesis and diagnosis of Alzheimer's disease (AD). Cross-sectional volumetric measures of WMH, particularly in the parietal lobes, are associated with increased risk of AD. In the present study, we sought to determine whether the longitudinal regional progression of WMH predicts incident AD above-and-beyond traditional radiological markers of neurodegeneration (i.e., hippocampal atrophy and cortical thickness). Three hundred three nondemented older adults (mean age = 79.24 ± 5.29) received high-resolution magnetic resonance imaging at baseline and then again 4.6 years (standard deviation = 1.01) later. Over the follow-up interval 26 participants progressed to AD. Using structural equation modeling, we calculated latent difference scores of parietal and nonparietal WMH, hippocampus volumes, and cortical thickness values in AD-related regions. Within the structural equation modeling framework, we determined whether baseline or change scores or both predicted AD conversion, while controlling for several time-invariant relevant variables. Smaller baseline hippocampus volume, change in hippocampus volume (i.e., atrophy), higher baseline parietal lobe WMH, and increasing parietal lobe WMH volume but not WMH in other regions or measures of cortical thickness, independently predicted progression to AD. The findings provide strong evidence that regionally accumulating WMH predict AD onset in addition to hallmark neurodegenerative changes typically associated with AD.
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Affiliation(s)
- Adam M Brickman
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA; Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA; Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, USA.
| | - Laura B Zahodne
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA; Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Vanessa A Guzman
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Atul Narkhede
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Irene B Meier
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Erica Y Griffith
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Frank A Provenzano
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Nicole Schupf
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA; Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Jennifer J Manly
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA; Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA; Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Yaakov Stern
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA; Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA; Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - José A Luchsinger
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA; Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Richard Mayeux
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA; Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA; Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, USA; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
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30
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Logue MW, Schu M, Vardarajan BN, Farrell J, Bennett DA, Buxbaum JD, Byrd GS, Ertekin-Taner N, Evans D, Foroud T, Goate A, Graff-Radford NR, Kamboh MI, Kukull WA, Manly JJ, Haines JL, Mayeux R, Pericak-Vance MA, Schellenberg GD, Lunetta KL, Baldwin CT, Fallin MD, Farrer LA. Two rare AKAP9 variants are associated with Alzheimer's disease in African Americans. Alzheimers Dement 2014; 10:609-618.e11. [PMID: 25172201 PMCID: PMC4253055 DOI: 10.1016/j.jalz.2014.06.010] [Citation(s) in RCA: 81] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2014] [Revised: 06/06/2014] [Accepted: 06/10/2014] [Indexed: 12/12/2022]
Abstract
BACKGROUND Less is known about the genetic basis of Alzheimer's disease (AD) in African Americans (AAs) than in non-Hispanic whites. METHODS Whole exome sequencing (WES) was performed on seven AA AD cases. Disease association with potentially AD-related variants from WES was assessed in an AA discovery cohort of 422 cases and 394 controls. Replication was sought in an AA sample of 1037 cases and 1869 controls from the Alzheimer Disease Genetics Consortium (ADGC). RESULTS Forty-four single nucleotide polymorphisms (SNPs) from WES passed filtering criteria and were successfully genotyped. Nominally significant (P < .05) association to AD was observed with two African-descent specific AKAP9 SNPs in tight linkage disequilibrium: rs144662445 (P = .014) and rs149979685 (P = .037). These associations were replicated in the ADGC sample (rs144662445: P = .0022, odds ratio [OR] = 2.75; rs149979685: P = .0022, OR = 3.61). CONCLUSIONS Because AKAP9 was not previously linked to AD risk, this study indicates a potential new disease mechanism.
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Affiliation(s)
- Mark W. Logue
- Department of Medicine (Biomedical Genetics), Boston University
Schools of Medicine and Public Health, Boston, MA
- Department of Biostatistics, Boston University Schools of
Medicine and Public Health, Boston, MA
| | - Matthew Schu
- Department of Medicine (Biomedical Genetics), Boston University
Schools of Medicine and Public Health, Boston, MA
| | - Badri N. Vardarajan
- Department of Medicine (Biomedical Genetics), Boston University
Schools of Medicine and Public Health, Boston, MA
| | - John Farrell
- Department of Medicine (Biomedical Genetics), Boston University
Schools of Medicine and Public Health, Boston, MA
| | - David A. Bennett
- Department of Rush Alzheimer’s Disease Center, Rush
University Medical Center, Chicago, IL
| | - Joseph D. Buxbaum
- Departments of Neuroscience and Genetics & Genomic
Sciences, Mount Sinai School of Medicine, New York, NY
| | - Goldie S. Byrd
- Department of Biology, North Carolina A & T State
University, Greensboro, NC
| | | | - Denis Evans
- Rush Institute for Healthy Aging, Department of Internal
Medicine, Rush University Medical Center, Chicago, IL
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana
University, Indianapolis, IN
| | - Alison Goate
- Department of Psychiatry and Hope Center Program on Protein
Aggregation and Neurodegeneration, Washington University School of Medicine, St. Louis,
MI
| | | | - M. Ilyas Kamboh
- Department of Human Genetics and Alzheimer’s Disease
Research Center, University of, Pittsburgh, Pittsburgh, PA
| | - Walter A. Kukull
- National Alzheimer’s Coordinating Center and Department
of Epidemiology, University of Washington, Seattle, WA
| | - Jennifer J. Manly
- Department of Neurology and the Taub Institute, Columbia
University, New York, NY
| | | | - Jonathan L. Haines
- Department of Epidemiology and Biostatistics, Case Western
Reserve University, Cleveland, OH
| | - Richard Mayeux
- Department of Neurology and the Taub Institute, Columbia
University, New York, NY
| | | | - Gerard D. Schellenberg
- Department of Pathology and Laboratory Medicine, Perelman School
of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Kathryn L. Lunetta
- Department of Biostatistics, Boston University Schools of
Medicine and Public Health, Boston, MA
| | - Clinton T. Baldwin
- Department of Medicine (Biomedical Genetics), Boston University
Schools of Medicine and Public Health, Boston, MA
| | - M. Daniele Fallin
- Department of Epidemiology, Johns Hopkins University School of
Public Health, Baltimore, MD
| | - Lindsay A. Farrer
- Department of Medicine (Biomedical Genetics), Boston University
Schools of Medicine and Public Health, Boston, MA
- Department of Neurology, Boston University Schools of Medicine
and Public Health, Boston, MA
- Department of Ophthalmology, Boston University Schools of
Medicine and Public Health, Boston, MA
- Department of Epidemiology, and Boston University Schools of
Medicine and Public Health, Boston, MA
- Department of Biostatistics, Boston University Schools of
Medicine and Public Health, Boston, MA
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Structural connectivity of the default mode network and cognition in Alzheimer׳s disease. Psychiatry Res 2014; 223:15-22. [PMID: 24816337 DOI: 10.1016/j.pscychresns.2014.04.008] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2013] [Revised: 03/28/2014] [Accepted: 04/15/2014] [Indexed: 11/23/2022]
Abstract
Disconnectivity between the Default Mode Network (DMN) nodes can cause clinical symptoms and cognitive deficits in Alzheimer׳s disease (AD). We aimed to examine the structural connectivity between DMN nodes, to verify the extent in which white matter disconnection affects cognitive performance. MRI data of 76 subjects (25 mild AD, 21 amnestic Mild Cognitive Impairment subjects and 30 controls) were acquired on a 3.0T scanner. ExploreDTI software (fractional Anisotropy threshold=0.25 and the angular threshold=60°) calculated axial, radial, and mean diffusivities, fractional anisotropy and streamline count. AD patients showed lower fractional anisotropy (P=0.01) and streamline count (P=0.029), and higher radial diffusivity (P=0.014) than controls in the cingulum. After correction for white matter atrophy, only fractional anisotropy and radial diffusivity remained significantly lower in AD compared to controls (P=0.003 and P=0.05). In the parahippocampal bundle, AD patients had lower mean and radial diffusivities (P=0.048 and P=0.013) compared to controls, from which only radial diffusivity survived for white matter adjustment (P=0.05). Regression models revealed that cognitive performance is also accounted for by white matter microstructural values. Structural connectivity within the DMN is important to the execution of high-complexity tasks, probably due to its relevant role in the integration of the network.
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Tosto G, Zimmerman ME, Carmichael OT, Brickman AM. Predicting aggressive decline in mild cognitive impairment: the importance of white matter hyperintensities. JAMA Neurol 2014; 71:872-7. [PMID: 24821476 PMCID: PMC4107926 DOI: 10.1001/jamaneurol.2014.667] [Citation(s) in RCA: 79] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
IMPORTANCE Although white matter hyperintensities (WMHs) are associated with the risk for Alzheimer disease, it is unknown whether they represent an independent source of impairment or interact with known markers of disease. OBJECTIVE To examine the degree to which WMHs predict aggressive cognitive decline among individuals with mild cognitive impairment, either independently or by modifying the effects of entorhinal cortex volume (ECV), a marker of Alzheimer disease-related neurodegeneration. DESIGN, SETTING, AND PARTICIPANTS The Alzheimer's Disease Neuroimaging Initiative is a longitudinal study with 6-month follow-up visits. Three hundred thirty-two participants (mean [SD] age, 74.6 [7.4] years; 118 women) of a total of 374 participants diagnosed as having mild cognitive impairment were included. Participants were excluded if they did not have longitudinal data, apolipoprotein E genotype data, or had evidence of supratentorial infarct. MAIN OUTCOMES AND MEASURES A decline in Mini-Mental State Examination score of 3 points over 6 months or 6 points over 1 year between consecutive visits was defined as aggressive decline. White matter hyperintensity volume and ECV were entered as predictors in Cox proportional hazards models and Wilcoxon-Breslow tests to examine their impact on this outcome, adjusting for sex, age, education, and apolipoprotein E status. RESULTS Greater WMH volume at baseline, apolipoprotein E ε4 status, and smaller ECV at baseline were associated with an increased risk for aggressive decline (hazard ratio [HR], 1.23; 95% CI, 1.05-1.43; P = .01 for WMH volume; HR, 1.49; 95% CI, 1.09-2.05; P = .04 for apolipoprotein E ε4 status; HR, 0.66; 95% CI, 0.55-0.79; P < .001 for ECV). White matter hyperintensity volume modified the effect of ECV on aggressive decline risk: individuals with high ECV and low WMH were at particularly low likelihood of decline (χ2 = 15, P = .001). Participants with Mini-Mental State Examination scores that declined by 3 or more points over 6 months or 6 or more points over 12 months were more likely to have converted to Alzheimer disease by the end of the follow-up period (χ2 = 82, P < .001). CONCLUSIONS AND RELEVANCE White matter hyperintensity burden and ECV predict rapid cognitive decline among individuals with mild cognitive impairment both additively and multiplicatively.
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Affiliation(s)
- Giuseppe Tosto
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY USA
| | - Molly E. Zimmerman
- The Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, New York, NY USA
| | | | - Adam M. Brickman
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY USA
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Using neuroimaging to inform clinical practice for the diagnosis and treatment of mild cognitive impairment. Clin Geriatr Med 2014; 29:829-45. [PMID: 24094299 DOI: 10.1016/j.cger.2013.07.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Advances in structural and functional neuroimaging techniques have unquestionably improved understanding of the development and progression of Alzheimer disease (AD), with evidence supporting regional (and network) change that underlies cognitive decline across the "healthy" aging/mild cognitive impairment (MCI)/AD spectrum. This review focuses on visual rating scales and volumetric analyses that could be easily integrated into clinical practice, followed by a review of functional neuroimaging findings suggesting that widespread cerebral dysfunction underlies the learning and memory deficits in MCI. Evidence of preserved neuroplasticity in this population and that cognitive rehabilitation techniques may capitalize on this plasticity to improve cognition in those with MCI is also discussed.
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Yan Y, Li L, Preuss TM, Hu X, Herndon JG, Zhang X. In vivo evaluation of optic nerve aging in adult rhesus monkey by diffusion tensor imaging. Quant Imaging Med Surg 2014; 4:43-9. [PMID: 24649434 DOI: 10.3978/j.issn.2223-4292.2014.02.04] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2014] [Accepted: 02/17/2014] [Indexed: 01/14/2023]
Abstract
Aging of the optic nerve can result in reduced visual sensitivity or vision loss. Normal optic nerve aging has been investigated previously in tissue specimens but poorly explored in vivo. In the present study, the normal aging of optic nerve was evaluated by diffusion tensor imaging (DTI) in non-human primates. Adult female rhesus monkeys at the ages of 9 to 13 years old (young group, n=8) and 21 to 27 years old (old group, n=7) were studied using parallel-imaging-based DTI on a clinical 3T scanner. Compared to young adults, the old monkeys showed 26% lower fractional anisotropy (P<0.01), and 44% greater radial diffusivity, although the latter difference was of marginal statistical significance (P=0.058). These MRI findings are largely consistent with published results of light and electron microscopic studies of optic nerve aging in macaque monkeys, which indicate a loss of fibers and degenerative changes in myelin sheaths.
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Affiliation(s)
- Yumei Yan
- 1 Yerkes Imaging Center, Yerkes National Primate Research Center, Emory University, Atlanta, Georgia 30329, USA ; 2 Marcus Autism Center, Children's Healthcare of Atlanta, Emory University, Atlanta, Georgia 30322, USA ; 3 Division of Neuropharmacology and Neurologic Diseases, Yerkes National Primate Research Center, Emory University, Atlanta, Georgia 30329, USA ; 4 The Wallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, Georgia 30322, USA
| | - Longchuan Li
- 1 Yerkes Imaging Center, Yerkes National Primate Research Center, Emory University, Atlanta, Georgia 30329, USA ; 2 Marcus Autism Center, Children's Healthcare of Atlanta, Emory University, Atlanta, Georgia 30322, USA ; 3 Division of Neuropharmacology and Neurologic Diseases, Yerkes National Primate Research Center, Emory University, Atlanta, Georgia 30329, USA ; 4 The Wallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, Georgia 30322, USA
| | - Todd M Preuss
- 1 Yerkes Imaging Center, Yerkes National Primate Research Center, Emory University, Atlanta, Georgia 30329, USA ; 2 Marcus Autism Center, Children's Healthcare of Atlanta, Emory University, Atlanta, Georgia 30322, USA ; 3 Division of Neuropharmacology and Neurologic Diseases, Yerkes National Primate Research Center, Emory University, Atlanta, Georgia 30329, USA ; 4 The Wallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, Georgia 30322, USA
| | - Xiaoping Hu
- 1 Yerkes Imaging Center, Yerkes National Primate Research Center, Emory University, Atlanta, Georgia 30329, USA ; 2 Marcus Autism Center, Children's Healthcare of Atlanta, Emory University, Atlanta, Georgia 30322, USA ; 3 Division of Neuropharmacology and Neurologic Diseases, Yerkes National Primate Research Center, Emory University, Atlanta, Georgia 30329, USA ; 4 The Wallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, Georgia 30322, USA
| | - James G Herndon
- 1 Yerkes Imaging Center, Yerkes National Primate Research Center, Emory University, Atlanta, Georgia 30329, USA ; 2 Marcus Autism Center, Children's Healthcare of Atlanta, Emory University, Atlanta, Georgia 30322, USA ; 3 Division of Neuropharmacology and Neurologic Diseases, Yerkes National Primate Research Center, Emory University, Atlanta, Georgia 30329, USA ; 4 The Wallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, Georgia 30322, USA
| | - Xiaodong Zhang
- 1 Yerkes Imaging Center, Yerkes National Primate Research Center, Emory University, Atlanta, Georgia 30329, USA ; 2 Marcus Autism Center, Children's Healthcare of Atlanta, Emory University, Atlanta, Georgia 30322, USA ; 3 Division of Neuropharmacology and Neurologic Diseases, Yerkes National Primate Research Center, Emory University, Atlanta, Georgia 30329, USA ; 4 The Wallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, Georgia 30322, USA
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35
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Do eye movement impairments in patients with small vessel cerebrovascular disease depend on lesion load or on cognitive deficits? A video-oculographic and MRI study. J Neurol 2014; 261:791-803. [DOI: 10.1007/s00415-014-7275-1] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2013] [Revised: 02/03/2014] [Accepted: 02/05/2014] [Indexed: 01/17/2023]
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Murray AD, McNeil CJ, Salarirad S, Whalley LJ, Staff RT. Early life socioeconomic circumstance and late life brain hyperintensities--a population based cohort study. PLoS One 2014; 9:e88969. [PMID: 24558456 PMCID: PMC3928340 DOI: 10.1371/journal.pone.0088969] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2013] [Accepted: 01/14/2014] [Indexed: 11/28/2022] Open
Abstract
CONTEXT There have been many reports confirming the association between lower childhood socioeconomic circumstance and cardiovascular disease but evidence for links with cerebrovascular disease is contradictory. Hyperintensities on brain magnetic resonance imaging are associated with vascular risk factors, cognitive decline, dementia and death. However, the relationship between childhood socioeconomic circumstance and these lesions is unclear. OBJECTIVE To test the hypothesis that childhood socioeconomic circumstance is associated with late life hyperintensity burden and that neither adult socioeconomic circumstance nor change in socioeconomic circumstance during life influence this effect. DESIGN Cohort study. SETTING Community. PARTICIPANTS 227 community dwelling members of the 1936 Aberdeen Birth Cohort aged 68 years, who were free from dementia. MAIN OUTCOME MEASURES Relationship between early life socioeconomic circumstance (paternal occupation) and abundance of late life brain hyperintensities. RESULTS We find significant negative correlations between childhood socioeconomic circumstance and white matter hyperintensities (ρ = -0.18, P<0.01), and periventricular hyperintensities (ρ = -0.15, P<0.05), between educational attainment and white matter hyperintensities (ρ = -0.15, P<0.05) and periventricular hyperintensities (ρ = -0.17, P<0.05), and between childhood intelligence and periventricular hyperintensities (ρ = -0.14, P<0.05). The relationship is strongest for childhood socioeconomic circumstance and regional white matter hyperintensities, where there is a step change in increased burden from paternal occupation grades equivalent to a shift from "white collar" to "blue collar" paternal occupation. Significant correlations were also found between hypertension and hyperintensity burden in all brain regions (ρ = 0.15-0.24, P<0.05). In models that include hypertension, the magnitude of the effect of childhood socioeconomic circumstance is similar to and independent from that of hypertension. CONCLUSIONS Childhood socioeconomic circumstance predicts the burden of brain white matter hyperintensities aged 68 years. The mechanism underlying this effect is unknown, but may act through fetal and/or early life programming of cerebrovascular disease. Future work to understand this vulnerability will inform strategies to reduce dementia and stroke.
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Affiliation(s)
- Alison D. Murray
- Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, United Kingdom
| | - Christopher J. McNeil
- Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, United Kingdom
| | - Sima Salarirad
- Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, United Kingdom
| | - Lawrence J. Whalley
- Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, United Kingdom
| | - Roger T. Staff
- Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, United Kingdom
- Department of Nuclear Medicine, NHS Grampian, Aberdeen, United Kingdom
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37
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McAleese KE, Firbank M, Hunter D, Sun L, Hall R, Neal JW, Mann DMA, Esiri M, Jellinger KA, O'Brien JT, Attems J. Magnetic resonance imaging of fixed post mortem brains reliably reflects subcortical vascular pathology of frontal, parietal and occipital white matter. Neuropathol Appl Neurobiol 2014; 39:485-97. [PMID: 23075072 DOI: 10.1111/j.1365-2990.2012.01310.x] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2012] [Accepted: 10/12/2012] [Indexed: 11/28/2022]
Abstract
AIMS Subcortical vascular pathology of the white and deep grey matter (WM and DGM) is associated with cognitive impairment. Routine neuropathological assessment of subcortical vascular pathology is based on semiquantitative scoring of characteristic lesions in a limited number of histological slides from selected WM and DGM areas. Clinically, WM and DGM lesions are visualized as hyper-intensities on magnetic resonance imaging (MRI). The aim of this study was to evaluate the feasibility of MRI on fixed post mortem brain hemispheres to complement routine neuropathological assessment of subcortical vascular pathology. METHODS We assessed subcortical vascular pathology in 40 post mortem brain hemispheres from demented (n = 26) and nondemented (n = 14) individuals (mean age 83.2 ± 14.8 years; 62.5% female) using (i) routine histological assessment; (ii) extensive histological assessment of the entire hemisphere at 7-mm intervals; and (iii) full T2-weighted MRI performed on fixed post mortem brain hemispheres. RESULTS In both WM and DGM routine histological scores for subcortical vascular pathology were significantly lower (P < 0.01) than the corresponding scores obtained by extensive histological assessment. In contrast, no significant differences were seen between scores obtained by MRI and extensive histological assessment in frontal, parietal and occipital lobes while MRI scores were significantly lower in the temporal WM and DGM (P < 0.01). CONCLUSIONS The results of our study indicate that routine histological assessment underrates subcortical vascular pathology and we conclude that MRI could be used in addition to complement neuropathological post mortem assessment of subcortical vascular pathology of the WM.
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Affiliation(s)
- K E McAleese
- Institute for Ageing and Health, Newcastle University, Newcastle upon Tyne, UK
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Ithapu V, Singh V, Lindner C, Austin BP, Hinrichs C, Carlsson CM, Bendlin BB, Johnson SC. Extracting and summarizing white matter hyperintensities using supervised segmentation methods in Alzheimer's disease risk and aging studies. Hum Brain Mapp 2014; 35:4219-35. [PMID: 24510744 DOI: 10.1002/hbm.22472] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2013] [Revised: 11/12/2013] [Accepted: 01/07/2014] [Indexed: 01/18/2023] Open
Abstract
Precise detection and quantification of white matter hyperintensities (WMH) observed in T2-weighted Fluid Attenuated Inversion Recovery (FLAIR) Magnetic Resonance Images (MRI) is of substantial interest in aging, and age-related neurological disorders such as Alzheimer's disease (AD). This is mainly because WMH may reflect co-morbid neural injury or cerebral vascular disease burden. WMH in the older population may be small, diffuse, and irregular in shape, and sufficiently heterogeneous within and across subjects. Here, we pose hyperintensity detection as a supervised inference problem and adapt two learning models, specifically, Support Vector Machines and Random Forests, for this task. Using texture features engineered by texton filter banks, we provide a suite of effective segmentation methods for this problem. Through extensive evaluations on healthy middle-aged and older adults who vary in AD risk, we show that our methods are reliable and robust in segmenting hyperintense regions. A measure of hyperintensity accumulation, referred to as normalized effective WMH volume, is shown to be associated with dementia in older adults and parental family history in cognitively normal subjects. We provide an open source library for hyperintensity detection and accumulation (interfaced with existing neuroimaging tools), that can be adapted for segmentation problems in other neuroimaging studies.
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Affiliation(s)
- Vamsi Ithapu
- Department of Computer Sciences, University of Wisconsin-Madison, Madison, Wisconsin; Wisconsin Alzheimer's Disease Research Center, Madison, Wisconsin
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Trost N, Cook M, Hammersley E, Bui MQ, Brotchie P, Burgess T, Slater H, Storey E, Loesch DZ. White matter changes in patients with Parkinson's disease carrying small CGG expansion FMR1 alleles: a pilot study. NEURODEGENER DIS 2013; 14:67-76. [PMID: 24401315 DOI: 10.1159/000356190] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2013] [Accepted: 10/05/2013] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND/AIMS Alleles of the FMR1 gene containing small expansions of the CGG-trinucleotide repeat comprise premutation and grey-zone alleles. Premutation alleles may cause late-onset Fragile X-associated tremor/ataxia syndrome attributed to the neurotoxic effect of elevated FMR1 transcripts. Our earlier data suggested that both grey-zone and low-end premutation alleles might also play a significant role in the acquisition of the parkinsonian phenotype due to mitochondrial dysfunction caused by elevated FMR1 mRNA toxicity. These data were obtained through clinical and molecular comparisons between carriers of grey-zone/low-end premutation alleles and group-matched non-carrier controls from patients with idiopathic Parkinson's disease (iPD). We aimed to explore the relationship between grey-zone alleles, parkinsonism and white matter changes. METHODS This study compared the extent and severity of white matter hyperintensity (WMH) on magnetic resonance imaging, using a semi-quantitative method, between 11 grey-zone/low-end premutation carriers and 20 non-carrier controls with iPD from our earlier study. Relationships between WMH scores, and cognitive and motor test scores were assessed for carriers and non-carriers. RESULTS Supratentorial WMH scores, and tremor and ataxia motor scores were significantly higher in carriers compared with disease controls. Moreover, some associations between cognitive decline and WMH scores were specific for each respective carrier status category. CONCLUSIONS The results support our earlier claim that grey-zone alleles contribute to the severity of parkinsonism and white matter changes.
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Affiliation(s)
- Nicholas Trost
- MRI Centre, St. Vincent's Hospital Melbourne, Fitzroy, Vic., Australia
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40
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Bennett IJ, Madden DJ. Disconnected aging: cerebral white matter integrity and age-related differences in cognition. Neuroscience 2013; 276:187-205. [PMID: 24280637 DOI: 10.1016/j.neuroscience.2013.11.026] [Citation(s) in RCA: 305] [Impact Index Per Article: 27.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2013] [Revised: 11/08/2013] [Accepted: 11/13/2013] [Indexed: 12/13/2022]
Abstract
Cognition arises as a result of coordinated processing among distributed brain regions and disruptions to communication within these neural networks can result in cognitive dysfunction. Cortical disconnection may thus contribute to the declines in some aspects of cognitive functioning observed in healthy aging. Diffusion tensor imaging (DTI) is ideally suited for the study of cortical disconnection as it provides indices of structural integrity within interconnected neural networks. The current review summarizes results of previous DTI aging research with the aim of identifying consistent patterns of age-related differences in white matter integrity, and of relationships between measures of white matter integrity and behavioral performance as a function of adult age. We outline a number of future directions that will broaden our current understanding of these brain-behavior relationships in aging. Specifically, future research should aim to (1) investigate multiple models of age-brain-behavior relationships; (2) determine the tract-specificity versus global effect of aging on white matter integrity; (3) assess the relative contribution of normal variation in white matter integrity versus white matter lesions to age-related differences in cognition; (4) improve the definition of specific aspects of cognitive functioning related to age-related differences in white matter integrity using information processing tasks; and (5) combine multiple imaging modalities (e.g., resting-state and task-related functional magnetic resonance imaging; fMRI) with DTI to clarify the role of cerebral white matter integrity in cognitive aging.
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Affiliation(s)
- I J Bennett
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, United States
| | - D J Madden
- Brain Imaging and Analysis Center, Duke University Medical Center, United States; Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, United States.
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41
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Reitz C, Jun G, Naj A, Rajbhandary R, Vardarajan BN, Wang LS, Valladares O, Lin CF, Larson EB, Graff-Radford NR, Evans D, De Jager PL, Crane PK, Buxbaum JD, Murrell JR, Raj T, Ertekin-Taner N, Logue M, Baldwin CT, Green RC, Barnes LL, Cantwell LB, Fallin MD, Go RCP, Griffith P, Obisesan TO, Manly JJ, Lunetta KL, Kamboh MI, Lopez OL, Bennett DA, Hendrie H, Hall KS, Goate AM, Byrd GS, Kukull WA, Foroud TM, Haines JL, Farrer LA, Pericak-Vance MA, Schellenberg GD, Mayeux R. Variants in the ATP-binding cassette transporter (ABCA7), apolipoprotein E ϵ4,and the risk of late-onset Alzheimer disease in African Americans. JAMA 2013; 309:1483-92. [PMID: 23571587 PMCID: PMC3667653 DOI: 10.1001/jama.2013.2973] [Citation(s) in RCA: 338] [Impact Index Per Article: 30.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
IMPORTANCE Genetic variants associated with susceptibility to late-onset Alzheimer disease are known for individuals of European ancestry, but whether the same or different variants account for the genetic risk of Alzheimer disease in African American individuals is unknown. Identification of disease-associated variants helps identify targets for genetic testing, prevention, and treatment. OBJECTIVE To identify genetic loci associated with late-onset Alzheimer disease in African Americans. DESIGN, SETTING, AND PARTICIPANTS The Alzheimer Disease Genetics Consortium (ADGC) assembled multiple data sets representing a total of 5896 African Americans (1968 case participants, 3928 control participants) 60 years or older that were collected between 1989 and 2011 at multiple sites. The association of Alzheimer disease with genotyped and imputed single-nucleotide polymorphisms (SNPs) was assessed in case-control and in family-based data sets. Results from individual data sets were combined to perform an inverse variance-weighted meta-analysis, first with genome-wide analyses and subsequently with gene-based tests for previously reported loci. MAIN OUTCOMES AND MEASURES Presence of Alzheimer disease according to standardized criteria. RESULTS Genome-wide significance in fully adjusted models (sex, age, APOE genotype, population stratification) was observed for a SNP in ABCA7 (rs115550680, allele = G; frequency, 0.09 cases and 0.06 controls; odds ratio [OR], 1.79 [95% CI, 1.47-2.12]; P = 2.2 × 10(-9)), which is in linkage disequilibrium with SNPs previously associated with Alzheimer disease in Europeans (0.8 < D' < 0.9). The effect size for the SNP in ABCA7 was comparable with that of the APOE ϵ4-determining SNP rs429358 (allele = C; frequency, 0.30 cases and 0.18 controls; OR, 2.31 [95% CI, 2.19-2.42]; P = 5.5 × 10(-47)). Several loci previously associated with Alzheimer disease but not reaching significance in genome-wide analyses were replicated in gene-based analyses accounting for linkage disequilibrium between markers and correcting for number of tests performed per gene (CR1, BIN1, EPHA1, CD33; 0.0005 < empirical P < .001). CONCLUSIONS AND RELEVANCE In this meta-analysis of data from African American participants, Alzheimer disease was significantly associated with variants in ABCA7 and with other genes that have been associated with Alzheimer disease in individuals of European ancestry. Replication and functional validation of this finding is needed before this information is used in clinical settings.
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Affiliation(s)
- Christiane Reitz
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center, Columbia University, 630 W 168th St, New York, NY 10032, USA
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Borghesani PR, Madhyastha TM, Aylward EH, Reiter MA, Swarny BR, Schaie KW, Willis SL. The association between higher order abilities, processing speed, and age are variably mediated by white matter integrity during typical aging. Neuropsychologia 2013; 51:1435-44. [PMID: 23507612 DOI: 10.1016/j.neuropsychologia.2013.03.005] [Citation(s) in RCA: 77] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2012] [Revised: 02/09/2013] [Accepted: 03/06/2013] [Indexed: 01/02/2023]
Abstract
Although aging is associated with changes in brain structure and cognition it remains unclear which specific structural changes mediate individual cognitive changes. Several studies have reported that white matter (WM) integrity, as assessed by diffusion tensor imaging (DTI), mediates, in part, age-related differences in processing speed (PS). There is less evidence for WM integrity mediating age-related differences in higher order abilities (e.g., memory and executive functions). In 165 typically aging adults (age range 54-89) we show that WM integrity in select cerebral regions is associated with higher cognitive abilities and accounts variance not accounted for by PS or age. Specifically, voxel-wise analyses using tract-based spatial statistics (TBSS) revealed that WM integrity was associated with reasoning, cognitive flexibility and PS, but not memory or word fluency, after accounting for age and gender. While cerebral fractional anisotropy (FA) was only associated with PS; mean (MD), axial (AD) and radial (RD) diffusivity were associated with reasoning and flexibility. Reasoning was selectively associated with left prefrontal AD, while cognitive flexibility was associated with MD, AD and RD throughout the cerebrum. Average WM metrics within select WM regions of interest accounted for 18% and 29% of the variance in reasoning and flexibility, respectively, similar to the amount of variance accounted for by age. WM metrics mediated ~50% of the age-related variance in reasoning and flexibility and different proportions, 11% for reasoning and 44% for flexibility, of the variance accounted for by PS. In sum, (i) WM integrity is significantly, but variably, related to specific higher cognitive abilities and can account for a similar proportion of variance as age, and (ii) while FA is selectively associated with PS; while MD, AD and RD are associated with reasoning, flexibility and PS. This illustrates both the anatomical and cognitive selectivity of structure-cognition relationships in the aging brain.
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Affiliation(s)
- Paul R Borghesani
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.
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Root JC, Pryor KO, Downey R, Alici Y, Davis ML, Holodny A, Korc-Grodzicki B, Ahles T. Association of pre-operative brain pathology with post-operative delirium in a cohort of non-small cell lung cancer patients undergoing surgical resection. Psychooncology 2013; 22:2087-94. [PMID: 23457028 DOI: 10.1002/pon.3262] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2012] [Revised: 01/18/2013] [Accepted: 01/25/2013] [Indexed: 12/11/2022]
Abstract
OBJECTIVE Post-operative delirium is associated with pre-operative cognitive difficulties and diminished functional independence, both of which suggest that brain pathology may be present in affected individuals prior to surgery. Currently, there are few studies that have examined imaging correlates of post-operative delirium. To our knowledge, none have examined the association of delirium with existing structural pathology in pre-operative cancer patients. Here, we present a novel, retrospective strategy to assess pre-operative structural brain pathology and its association with post-operative delirium. Standard of care structural magnetic resonance imaging (MRIs) from a cohort of surgical candidates prior to surgery were analyzed for white matter hyperintensities and cerebral atrophy. METHODS We identified 23 non-small cell lung cancer patients with no evidence of metastases in the brain pre-operatively, through retrospective chart review, who met criteria for post-operative delirium within 4 days of surgery. 24 age- and gender-matched control subjects were identified for comparison to the delirium sample. T1 and fluid-attenuated inversion recovery sequences were collected from standard of care pre-operative MRI screening and assessed for white matter pathology and atrophy. RESULTS We found significant differences in white matter pathology between groups with the delirium group exhibiting significantly greater white matter pathology than the non-delirium group. Measure of cerebral atrophy demonstrated no significant difference between the delirium and non-delirium group. CONCLUSIONS In this preliminary study utilizing standard of care pre-operative brain MRIs for assessment of structural risk factors to delirium, we found white matter pathology to be a significant risk factor in post-operative delirium. Limitations and implications for further investigation are discussed.
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Affiliation(s)
- James C Root
- Memorial Sloan-Kettering Cancer Center, Department of Psychiatry and Behavioral Sciences, New York, NY, USA.
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Leritz EC, Shepel J, Williams VJ, Lipsitz LA, McGlinchey RE, Milberg WP, Salat DH. Associations between T1 white matter lesion volume and regional white matter microstructure in aging. Hum Brain Mapp 2013; 35:1085-100. [PMID: 23362153 DOI: 10.1002/hbm.22236] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2011] [Revised: 10/16/2012] [Accepted: 11/11/2012] [Indexed: 01/18/2023] Open
Abstract
White matter lesions, typically manifesting as regions of signal intensity abnormality (WMSA) on MRI, increase in frequency with age. However, the role of this damage in cognitive decline and disease is still not clear, as lesion volume has only loosely been associated with clinical status. Diffusion tensor imaging (DTI) has been used to examine the quantitative microstructural integrity of white matter, and has applications in the examination of subtle changes to tissue that appear visually normal on conventional imaging. The primary goal of this study was to determine whether major macrostructural white matter damage, (total WMSA volume), is associated with microstructural integrity of normal appearing white matter, and if these macrostructural changes fully account for microstructural changes. Imaging was performed in 126 nondemented individuals, ages 43-85 years, with no history of cerebrovascular disease. Controlling for age, greater WMSA volume was associated with decreased fractional anisotropy (FA) in widespread brain regions. Patterns were similar for FA and radial diffusivity but in contrast, WMSA was associated with axial diffusivity in fewer areas. Age was associated with FA in several regions, and many of these effects remained even when controlling for WMSA volume, suggesting the etiology of WMSAs does not fully account for all age-associated white matter deterioration. These results provide evidence that WMSA volume is associated with the integrity of normal-appearing white matter. In addition, our results suggest that overt lesions may not account for the association of increasing age with decreased white matter tissue integrity.
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Affiliation(s)
- Elizabeth C Leritz
- Geriatric Research, Education and Clinical Center (GRECC) and Neuroimaging Research for Veterans Center (NeRVe), VA Boston Healthcare System, Boston, Massachusetts; Division of Aging, Brigham and Women's Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Massachusetts
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Thal DR, Grinberg LT, Attems J. Vascular dementia: different forms of vessel disorders contribute to the development of dementia in the elderly brain. Exp Gerontol 2012; 47:816-24. [PMID: 22705146 PMCID: PMC3470831 DOI: 10.1016/j.exger.2012.05.023] [Citation(s) in RCA: 138] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2012] [Revised: 05/27/2012] [Accepted: 05/30/2012] [Indexed: 01/22/2023]
Abstract
The diagnosis of vascular dementia (VaD) describes a group of various vessel disorders with different types of vascular lesions that finally contribute to the development of dementia. Most common forms of VaD in the elderly brain are subcortical vascular encephalopathy, strategic infarct dementia, and the multi infarct encephalopathy. Hereditary forms of VaD are rare. Most common is the cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL). Sporadic forms of VaD are caused by degenerative vessel disorders such as atherosclerosis, small vessel disease (SVD) including small vessel arteriosclerosis, arteriolosclerosis, and lipohyalinosis, and cerebral amyloid angiopathy (CAA). Less frequently inflammatory vessel disorders and tumor-associated vessel lesions (e.g. angiocentric T-cell or angiotropic large cell lymphoma) can cause symptoms of dementia. Here, we review and discuss the impact of vessel disorders to distinct vascular brain tissue lesions and to the development of dementia in elderly individuals. The impact of coexisting neurodegenerative pathology in the elderly brain to VaD as well as the correlation between SVD and CAA expansion in the brain parenchyma with that of Alzheimer's disease (AD)-related pathology is highlighted. We conclude that "pure" VaD is rare and most frequently caused by infarctions. However, there is a significant contribution of vascular lesions and vessel pathology to the development of dementia that may go beyond tissue damage due to vascular lesions. Insufficient blood blow and alterations of the perivascular drainage mechanisms of the brain may also lead to a reduced protein clearance from extracellular space and subsequent increase of proteins in the brain parenchyma, such as the amyloid β-protein, and foster, thereby, the development of AD-related neurodegeneration. As such, it seems to be important for clinical practice to consider treatment of potentially coexisting AD pathology in cognitively impaired patients with vascular lesions.
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Affiliation(s)
- Dietmar Rudolf Thal
- Institute of Pathology, Laboratory of Neuropathology, University of Ulm, Ulm, Germany.
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