1
|
Daniel E, Deng F, Patel SK, Sedrak MS, Kim H, Razavi M, Sun C, Root JC, Ahles TA, Dale W, Chen BT. Brain white matter microstructural changes in chemotherapy-treated older long-term breast cancer survivors. Cancer Med 2023; 13:e6881. [PMID: 38152038 PMCID: PMC10807556 DOI: 10.1002/cam4.6881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 12/11/2023] [Accepted: 12/17/2023] [Indexed: 12/29/2023] Open
Abstract
PURPOSE To assess white matter microstructural changes in older long-term breast cancer survivors 5-15 years post-chemotherapy treatment. METHODS Breast cancer survivors aged 65 years or older who underwent chemotherapy (C+) and who did not undergo chemotherapy (C-) and age- and sex-matched healthy controls (HC) were enrolled at time point 1 (TP1) and followed for 2 years for time point 2 (TP2). All participants underwent brain MRI with diffusion tensor images and neuropsychological (NP) testing with the NIH Toolbox Cognition Battery. Tract-based spatial statistics (TBSS) analysis was performed on the diffusion tensor images to assess white matter microstructural changes with the fractional anisotropy (FA) parameter. RESULTS There were significant longitudinal alterations in FA within the C+ group over time. The C+ group showed diminished FA in the body and genu of corpus callosum, anterior corona radiate, and external capsule on both the whole brain and region of interest (ROI) based analyses after p < 0.05 family-wise error (FWE) correction. However, there were no significant group differences between the groups at TP1. Additionally, at TP1, a positive correlation (R = 0.58, p = 0.04) was observed between the FA value of the anterior corona radiata and the crystallized composite score in the C+ group. CONCLUSIONS Brain white matter microstructural alterations may be the underlying neural correlates of cognitive changes in older breast cancer survivors who had chemotherapy treatment years ago.
Collapse
Affiliation(s)
- Ebenezer Daniel
- Department of Diagnostic RadiologyCity of Hope National Medical CenterDuarteCAUSA
| | - Frank Deng
- Department of Diagnostic RadiologyCity of Hope National Medical CenterDuarteCAUSA
| | - Sunita K. Patel
- Department of Population ScienceCity of Hope National Medical CenterDuarteCAUSA
| | - Mina S. Sedrak
- Department of Medical OncologyCity of Hope National Medical CenterDuarteCAUSA
| | - Heeyoung Kim
- Center for Cancer and AgingCity of Hope National Medical CenterDuarteCAUSA
| | - Marianne Razavi
- Department of Supportive Care MedicineCity of Hope National Medical CenterDuarteCAUSA
| | - Can‐Lan Sun
- Center for Cancer and AgingCity of Hope National Medical CenterDuarteCAUSA
| | - James C. Root
- Neurocognitive Research LabMemorial Sloan Kettering Cancer CenterNew YorkNYUSA
| | - Tim A. Ahles
- Neurocognitive Research LabMemorial Sloan Kettering Cancer CenterNew YorkNYUSA
| | - William Dale
- Center for Cancer and AgingCity of Hope National Medical CenterDuarteCAUSA
- Department of Supportive Care MedicineCity of Hope National Medical CenterDuarteCAUSA
| | - Bihong T. Chen
- Department of Diagnostic RadiologyCity of Hope National Medical CenterDuarteCAUSA
- Center for Cancer and AgingCity of Hope National Medical CenterDuarteCAUSA
| |
Collapse
|
2
|
Kau YL, Lin IH, Juang CL, Chang CK, Ho WH, Wen HC. Metabolite Variations in the Hippocampus and Corpus Callosum of Patients with Mild Cognitive Impairment Using Magnetic Resonance Spectroscopy with Three-Dimensional Chemical Shift Images. Brain Sci 2023; 13:1244. [PMID: 37759845 PMCID: PMC10526271 DOI: 10.3390/brainsci13091244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 07/30/2023] [Accepted: 08/21/2023] [Indexed: 09/29/2023] Open
Abstract
This study compared the metabolites in the brain regions of hippocampus and corpus callosum between patients with mild cognitive impairment (MCI) and healthy controls using no-radiation and high-sensitivity magnetic resonance spectroscopy (MRS) with three-dimensional chemical shift images (3D-CSI). Twenty volunteers (seven patients with MCI and 13 healthy controls) aged 50-71 years were recruited for this prospective study. MRS with 3D-CSI images of a variety of metabolites was collected from the hippocampus and corpus callosum. Sex and weight showed no significant differences between the two groups. The metabolite levels in the hippocampus and corpus callosum of the MCI group were generally lower than in those of the healthy group, especially for creatine (p < 0.001 in the hippocampus and p = 0.020 in the corpus callosum) and N-acetyl aspartate/creatine (p < 0.001 in the hippocampus and p = 0.020 in the corpus callosum); however, choline/creatine showed a significant difference (p < 0.001) only in the hippocampus, and myo-inositol/creatine showed a significant difference (p < 0.001) only in the corpus callosum. Our study demonstrated that MRS with 3D-CSI can be used to measure these metabolite levels to determine the differences between patients with MCI and healthy individuals. This would aid early diagnosis of MCI in clinical practice, and patients could receive prompt intervention to improve their quality of life.
Collapse
Affiliation(s)
- Yen-Lon Kau
- Department of Medical Imaging, Camillian St. Mary’s Hospital, Luodong, Yilan 265502, Taiwan; (Y.-L.K.); (W.-H.H.)
- Department of Medical Imaging and Radiological Sciences, Yuanpei University, Hsinchu 30015, Taiwan;
| | - I-Hung Lin
- Nobel Eye Institute, Taipei 100008, Taiwan;
- Department of Ophthalmology, Taipei Medical University Hospital, Taipei 11031, Taiwan
- Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei 100, Taiwan
| | - Chi-Long Juang
- Department of Medical Imaging and Radiological Sciences, Yuanpei University, Hsinchu 30015, Taiwan;
| | - Chao-Kai Chang
- Nobel Eye Institute, Taipei 100008, Taiwan;
- Department of Optometry, Yuanpei University, Hsinchu 30015, Taiwan;
| | - Wen-Hsiang Ho
- Department of Medical Imaging, Camillian St. Mary’s Hospital, Luodong, Yilan 265502, Taiwan; (Y.-L.K.); (W.-H.H.)
| | - Hsiao-Chuan Wen
- Department of Pet Healthcare, Yuanpei University, Hsinchu 300, Taiwan
| |
Collapse
|
3
|
Magalhães TNC, Gerbelli CLB, Pimentel-Silva LR, de Campos BM, de Rezende TJR, Rizzi L, Joaquim HPG, Talib LL, Forlenza OV, Cendes F, Balthazar MLF. Differences in structural and functional default mode network connectivity in amyloid positive mild cognitive impairment: a longitudinal study. Neuroradiology 2021; 64:141-150. [PMID: 34278511 DOI: 10.1007/s00234-021-02760-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 06/28/2021] [Indexed: 11/25/2022]
Abstract
PURPOSE Default mode network (DMN) has emerged as a potential biomarker of Alzheimer's disease (AD); however, it is not clear whether it can differentiate amnestic mild cognitive impairment with altered amyloid (aMCI-Aβ +) who will evolve to AD. We evaluated if structural and functional connectivity (FC), hippocampal volumes (HV), and cerebrospinal fluid biomarkers (CSF-Aβ42, p-Tau, and t-Tau) can differentiate aMCI-Aβ + converters from non-converters. METHODS Forty-eight individuals (18 normal controls and 30 aMCI subjects in the AD continuum - with altered Aβ42 in the CSF) were followed up for an average of 13 months. We used MultiAtlas, UF2C, and Freesurfer software to evaluate diffusion tensor imaging, FC, and HV, respectively, INNOTEST® kits to measure CSF proteins, and neuropsychological tests. Besides, we performed different MANOVAs with further univariate analyses to differentiate groups. RESULTS During follow-up, 8/30 aMCI-Aβ + converted (26.6%) to AD dementia. There were no differences in multivariate analysis between groups in CSF biomarkers (p = 0.092) or at DMN functional connectivity (p = 0.814). aMCI-Aβ + converters had smaller right HV than controls (p = 0.013), and greater right cingulum parahippocampal bundle radial diffusivity than controls (p < 0.001) and non-converters (p = 0.036). CONCLUSION In this exploratory study, structural, but not functional, DMN connectivity alterations may differentiate aMCI-Aβ + subjects who converted to AD dementia.
Collapse
Affiliation(s)
- Thamires Naela Cardoso Magalhães
- Laboratory of Neuroimaging, Department of Neurology - Medical Sciences School, University of Campinas (UNICAMP), Rua Tessália Vieira de Camargo 126, Campinas, SP, 13083-887, Brazil.
| | - Christian Luiz Baptista Gerbelli
- Laboratory of Neuroimaging, Department of Neurology - Medical Sciences School, University of Campinas (UNICAMP), Rua Tessália Vieira de Camargo 126, Campinas, SP, 13083-887, Brazil
| | - Luciana Ramalho Pimentel-Silva
- Laboratory of Neuroimaging, Department of Neurology - Medical Sciences School, University of Campinas (UNICAMP), Rua Tessália Vieira de Camargo 126, Campinas, SP, 13083-887, Brazil
| | - Brunno Machado de Campos
- Laboratory of Neuroimaging, Department of Neurology - Medical Sciences School, University of Campinas (UNICAMP), Rua Tessália Vieira de Camargo 126, Campinas, SP, 13083-887, Brazil
| | - Thiago Junqueira Ribeiro de Rezende
- Laboratory of Neuroimaging, Department of Neurology - Medical Sciences School, University of Campinas (UNICAMP), Rua Tessália Vieira de Camargo 126, Campinas, SP, 13083-887, Brazil
| | - Liara Rizzi
- Laboratory of Neuroimaging, Department of Neurology - Medical Sciences School, University of Campinas (UNICAMP), Rua Tessália Vieira de Camargo 126, Campinas, SP, 13083-887, Brazil
| | | | - Leda Leme Talib
- Laboratory of Neurosciences, (LIM 27), Department and Institute of Psychiatry, University of São Paulo (USP), São Paulo, Brazil
| | - Orestes Vicente Forlenza
- Laboratory of Neurosciences, (LIM 27), Department and Institute of Psychiatry, University of São Paulo (USP), São Paulo, Brazil
| | - Fernando Cendes
- Laboratory of Neuroimaging, Department of Neurology - Medical Sciences School, University of Campinas (UNICAMP), Rua Tessália Vieira de Camargo 126, Campinas, SP, 13083-887, Brazil
| | - Marcio Luiz Figueredo Balthazar
- Laboratory of Neuroimaging, Department of Neurology - Medical Sciences School, University of Campinas (UNICAMP), Rua Tessália Vieira de Camargo 126, Campinas, SP, 13083-887, Brazil
| |
Collapse
|
4
|
Beach TG, Malek-Ahmadi M. Alzheimer's Disease Neuropathological Comorbidities are Common in the Younger-Old. J Alzheimers Dis 2021; 79:389-400. [PMID: 33285640 PMCID: PMC8034496 DOI: 10.3233/jad-201213] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Clinicopathological studies have demonstrated that Alzheimer's disease dementia (ADD) is often accompanied by clinically undetectable comorbid neurodegenerative and cerebrovascular disease that alter the rate of cognitive decline. Aside from causing increased variability in clinical response, it is possible that the major ADD comorbidities may not respond to ADD-specific molecular therapeutics. OBJECTIVE As most reports have focused on comorbidity in the oldest-old, its extent in younger age groups that are more likely to be involved in clinical trials is largely unknown; our objective is to provide this information. METHODS We conducted a survey of neuropathological comorbidities in sporadic ADD using data from the US National Alzheimer's Coordinating Center. Subject data was restricted to those with dementia and meeting National Institute on Aging-Alzheimer's Association intermediate or high AD Neuropathological Change levels, excluding those with known autosomal dominant AD-related mutations. RESULTS Highly prevalent ADD comorbidities are not restricted to the oldest-old but are common even in early-onset ADD. The percentage of cases with ADD as the sole major neuropathological diagnosis is highest in the under-60 group, where "pure" ADD cases are still in the minority at 44%. After this AD as a sole major pathology in ADD declines to roughly 20%in the 70s and beyond. Lewy body disease is the most common comorbidity at younger ages but actually is less common at later ages, while for most others, their prevalence increases with age. CONCLUSION Alzheimer's disease neuropathological comorbidities are highly prevalent even in the younger-old.
Collapse
|
5
|
Venkatraman VK, Steward CE, Cox KL, Ellis KA, Phal PM, Sharman MJ, Villemagne VL, Lai MMY, Cyarto EV, Ames D, Szoeke C, Rowe CC, Masters CL, Lautenschlager NT, Desmond PM. Baseline White Matter Is Associated With Physical Fitness Change in Preclinical Alzheimer's Disease. Front Aging Neurosci 2020; 12:115. [PMID: 32410984 PMCID: PMC7202286 DOI: 10.3389/fnagi.2020.00115] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Accepted: 04/06/2020] [Indexed: 11/13/2022] Open
Abstract
White matter (WM) microstructure is a sensitive marker to distinguish individuals at risk of Alzheimer's disease. The association of objective physical fitness (PF) measures and WM microstructure has not been explored and mixed results reported with physical activity (PA). Longitudinal studies of WM with PA and PF measures have had limited investigation. This study explored the relationship between objective PF measures over 24-months with "normal-appearing" WM microstructure. Data acquired on magnetic resonance imaging was used to measure "normal-appearing" WM microstructure at baseline and 24-months. Clinical variables such as cognitive and blood-based measures were collected longitudinally. Also, as part of the randomized controlled trial of a PA, extensive measures of PA and fitness were obtained over the 24 months. Bilateral corticospinal tracts (CST) and the corpus callosum showed a significant association between PF performance over 24-months and baseline WM microstructural measures. There was no significant longitudinal effect of the intervention or PF performance over 24-months. Baseline WM microstructural measures were significantly associated with PF performance over 24-months in this cohort of participants with vascular risk factors and at risk of Alzheimer's disease with distinctive patterns for each PF test.
Collapse
Affiliation(s)
- Vijay K Venkatraman
- Department of Medicine and Radiology, The University of Melbourne, Melbourne, VIC, Australia
| | - Christopher E Steward
- Department of Medicine and Radiology, The University of Melbourne, Melbourne, VIC, Australia.,Department of Radiology, Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Kay L Cox
- School of Medicine, University of Western Australia, Perth, WA, Australia
| | - Kathryn A Ellis
- Academic Unit for Psychiatry of Old Age, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia.,The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia.,Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, VIC, Australia
| | - Pramit M Phal
- Department of Medicine and Radiology, The University of Melbourne, Melbourne, VIC, Australia.,Epworth Medical Imaging, Richmond, VIC, Australia
| | - Matthew J Sharman
- School of Health Sciences, University of Tasmania, Launceston, TAS, Australia
| | - Victor L Villemagne
- Department of Medicine and Radiology, The University of Melbourne, Melbourne, VIC, Australia.,Department of Molecular Imaging and Therapy, Austin Health, Melbourne, VIC, Australia
| | - Michelle M Y Lai
- Academic Unit for Psychiatry of Old Age, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia.,South Metropolitan Health Service, Perth, WA, Australia.,Curtin Medical School, Curtin University, Perth, WA, Australia
| | | | - David Ames
- Academic Unit for Psychiatry of Old Age, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia.,National Ageing Research Institute, Melbourne, VIC, Australia.,St George's Hospital, Kew, VIC, Australia
| | - Cassandra Szoeke
- Department of Medicine and Radiology, The University of Melbourne, Melbourne, VIC, Australia.,Centre for Medical Research, Royal Melbourne Hospital, Melbourne, VIC, Australia.,Healthy Brain Initiative, Australian Catholic University, Melbourne, VIC, Australia
| | - Christopher C Rowe
- Department of Molecular Imaging and Therapy, Austin Health, Melbourne, VIC, Australia.,Melbourne Dementia Research Centre, The University of Melbourne, Melbourne, VIC, Australia
| | - Colin L Masters
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Nicola T Lautenschlager
- Academic Unit for Psychiatry of Old Age, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia.,NorthWestern Mental Health, Melbourne Health, Melbourne, VIC, Australia
| | - Patricia M Desmond
- Department of Medicine and Radiology, The University of Melbourne, Melbourne, VIC, Australia.,Department of Radiology, Royal Melbourne Hospital, Melbourne, VIC, Australia
| |
Collapse
|
6
|
Rudisch J, Müller K, Kutz DF, Brich L, Sleimen-Malkoun R, Voelcker-Rehage C. How Age, Cognitive Function and Gender Affect Bimanual Force Control. Front Physiol 2020; 11:245. [PMID: 32292353 PMCID: PMC7121519 DOI: 10.3389/fphys.2020.00245] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 03/02/2020] [Indexed: 02/06/2023] Open
Abstract
Coordinated bimanual control depends on information processing in different intra- and interhemispheric networks that differ with respect to task symmetry and laterality of execution. Aging and age-related cognitive impairments, but also sex can have detrimental effects on connectivity of these networks. We therefore expected effects of age, cognitive function and sex on bimanual force coordination. We furthermore expected these effects to depend on the characteristics of the task (i.e., difficulty and symmetry). 162 right handed participants (19 younger adults [YA], 21–30 years, 9 females; 52 cognitively healthy older adults [HOA], 80–91 years, 32 females; and 91 older adults with mild cognitive impairments [MCI] 80–91 years, 37 females) performed isometric bimanual force control tasks that required following constant or alternating (cyclic sine-wave) targets and varied in symmetry, i.e., (i) constant symmetric, asymmetric [with constant left and alternating right (ii) or vice versa (iii)], (iv) alternating in- and (v) alternating antiphase (both hands alternating with 0° or 180° relative phase, respectively). We analyzed general performance (time on target), bimanual coordination as coupling between hands (linear correlation coefficient) and structure of variability (i.e., complexity measured through detrended fluctuation analysis). Performance and coupling strongly depended on task symmetry and executing hand, with better performance in symmetric tasks and in asymmetric tasks when the left hand produced a constant and the right hand an alternating force. HOA and MCI, compared to YA, showed poorer performance (time on target) and reduced coupling in in- and antiphase tasks. Furthermore, both groups of OA displayed less complex structure in alternating force production tasks, a marker of reduced control. In addition, we found strong sex effects with females displaying reduced coupling during in- and antiphase coordination and less complex variably structure in constant force production. Results of this study revealed strong effects of age, but also sex on bimanual force control. Effects depended strongly on task symmetry and executing hand, possibly due to different requirements in interhemispheric information processing. So far, we found no clear relationship between behavioral markers of bimanual force control and age-related cognitive decline (compared to healthy aging), making further investigation necessary.
Collapse
Affiliation(s)
- Julian Rudisch
- Institute of Human Movement Science and Health, Faculty of Behavioral and Social Sciences, Chemnitz University of Technology, Chemnitz, Germany.,Department of Neuromotor Behavior and Exercise, Institute of Sport and Exercise Sciences, University of Muenster, Muenster, Germany
| | - Katrin Müller
- Institute of Human Movement Science and Health, Faculty of Behavioral and Social Sciences, Chemnitz University of Technology, Chemnitz, Germany
| | - Dieter F Kutz
- Institute of Human Movement Science and Health, Faculty of Behavioral and Social Sciences, Chemnitz University of Technology, Chemnitz, Germany.,Department of Neuromotor Behavior and Exercise, Institute of Sport and Exercise Sciences, University of Muenster, Muenster, Germany
| | - Louisa Brich
- Institute of Human Movement Science and Health, Faculty of Behavioral and Social Sciences, Chemnitz University of Technology, Chemnitz, Germany.,Department of Pediatrics, Technical University Munich, Munich, Germany
| | - Rita Sleimen-Malkoun
- CNRS, Institute of Movement Sciences, Aix-Marseille Université, Marseille, France
| | - Claudia Voelcker-Rehage
- Institute of Human Movement Science and Health, Faculty of Behavioral and Social Sciences, Chemnitz University of Technology, Chemnitz, Germany.,Department of Neuromotor Behavior and Exercise, Institute of Sport and Exercise Sciences, University of Muenster, Muenster, Germany
| |
Collapse
|
7
|
Luo X, Li K, Zeng Q, Huang P, Jiaerken Y, Wang S, Shen Z, Xu X, Xu J, Wang C, Kong L, Zhou J, Zhang M. Application of T1-/T2-Weighted Ratio Mapping to Elucidate Intracortical Demyelination Process in the Alzheimer's Disease Continuum. Front Neurosci 2019; 13:904. [PMID: 31551678 PMCID: PMC6748350 DOI: 10.3389/fnins.2019.00904] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Accepted: 08/13/2019] [Indexed: 12/12/2022] Open
Abstract
Background The biological diagnosis criteria of the Alzheimer’s disease (AD) suggests that previous work may misclassify the cognitive impairment caused by other factors into AD. Consequently, re-assessing the imaging profile of AD continuum is needed. Considering the high vulnerability of cortical association fibers, we aimed to elucidate the cortical demyelination process in the AD continuum biologically defined. Methods According to the biological diagnosis criteria, we determined the positive amyloid status (A+) as cerebrospinal fluid (CSF) amyloid1–42 < 192 pg/ml, Florbetapir Positron emission tomography (PET) composite standardized uptake value ratio (SUVR) >1.11. Also, the positive Tau status (T+) was determined as p-Tau181 > 23 pg/ml. Based on the cognitive characterization, we further categorized 252 subjects into 27 cognitively unimpaired with normal AD biomarkers (A−T−, controls), 49 preclinical AD (A+T+), 113 AD with mild cognitive impairment (MCI) (A+T+), and 63 AD dementia (A+T+). We estimated the intracortical myelin content used the T1- and T2-weighted (T1W/T2W) ratio mapping. To investigate the sensitivity of the ratio mapping, we also utilized well-validated AD imaging biomarkers as the reference, including gray matter volume and Fludeoxyglucose PET (FDG-PET). Based on the general linear model, we conducted the voxel-wise two-sample T-tests between the controls and each group in the AD continuum. Results Compared to the controls, the results showed that the preclinical AD patients exhibited decreased T1W/T2W ratio value in the right inferior parietal lobule (IPL); as the disease progresses, the prodromal AD patients demonstrated lower ratio value in bilateral IPL, with hippocampus (HP) atrophy. Lastly, the AD dementia patients exhibited decreased ratio value in bilateral IPL and hippocampus; also, we observed the bilateral temporal cortices atrophy and widespread decreased metabolism in the AD dementia patients. After corrected with gray volume, the results remained mostly unchanged. Conclusion Our study implied the decreased right IPL T1W/T2W ratio might represent early AD-related demyelination in disease continuum. Additionally, we demonstrated that the T1W/T2W ratio mapping is an easy-to-implement and sensitive metric to assess the intracortical myelin content in AD, particularly in the early stage.
Collapse
Affiliation(s)
- Xiao Luo
- Department of Radiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Kaicheng Li
- Department of Radiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Qingze Zeng
- Department of Radiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Peiyu Huang
- Department of Radiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yeerfan Jiaerken
- Department of Radiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Shuyue Wang
- Department of Radiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Zhujing Shen
- Department of Radiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Xiaojun Xu
- Department of Radiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Jingjing Xu
- Department of Radiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Chao Wang
- Department of Radiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Linlin Kong
- Department of Neurology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Jiong Zhou
- Department of Neurology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Minming Zhang
- Department of Radiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| |
Collapse
|
8
|
Fan Q, Tian Q, Ohringer NA, Nummenmaa A, Witzel T, Tobyne SM, Klawiter EC, Mekkaoui C, Rosen BR, Wald LL, Salat DH, Huang SY. Age-related alterations in axonal microstructure in the corpus callosum measured by high-gradient diffusion MRI. Neuroimage 2019; 191:325-336. [PMID: 30790671 DOI: 10.1016/j.neuroimage.2019.02.036] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Revised: 01/26/2019] [Accepted: 02/14/2019] [Indexed: 12/14/2022] Open
Abstract
Cerebral white matter exhibits age-related degenerative changes during the course of normal aging, including decreases in axon density and alterations in axonal structure. Noninvasive approaches to measure these microstructural alterations throughout the lifespan would be invaluable for understanding the substrate and regional variability of age-related white matter degeneration. Recent advances in diffusion magnetic resonance imaging (MRI) have leveraged high gradient strengths to increase sensitivity toward axonal size and density in the living human brain. Here, we examined the relationship between age and indices of axon diameter and packing density using high-gradient strength diffusion MRI in 36 healthy adults (aged 22-72) in well-defined central white matter tracts in the brain. A recently validated method for inferring the effective axonal compartment size and packing density from diffusion MRI measurements acquired with 300 mT/m maximum gradient strength was applied to the in vivo human brain to obtain indices of axon diameter and density in the corpus callosum, its sub-regions, and adjacent anterior and posterior fibers in the forceps minor and forceps major. The relationships between the axonal metrics, corpus callosum area and regional gray matter volume were also explored. Results revealed a significant increase in axon diameter index with advancing age in the whole corpus callosum. Similar analyses in sub-regions of the corpus callosum showed that age-related alterations in axon diameter index and axon density were most pronounced in the genu of the corpus callosum and relatively absent in the splenium, in keeping with findings from previous histological studies. The significance of these correlations was mirrored in the forceps minor and forceps major, consistent with previously reported decreases in FA in the forceps minor but not in the forceps major with age. Alterations in the axonal imaging metrics paralleled decreases in corpus callosum area and regional gray matter volume with age. Among older adults, results from cognitive testing suggested an association between larger effective compartment size in the corpus callosum, particularly within the genu of the corpus callosum, and lower scores on the Montreal Cognitive Assessment, largely driven by deficits in short-term memory. The current study suggests that high-gradient diffusion MRI may be sensitive to the axonal substrate of age-related white matter degeneration reflected in traditional DTI metrics and provides further evidence for regionally selective alterations in white matter microstructure with advancing age.
Collapse
Affiliation(s)
- Qiuyun Fan
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA; Harvard Medical School, Boston, MA, USA.
| | - Qiyuan Tian
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Ned A Ohringer
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Aapo Nummenmaa
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Thomas Witzel
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Sean M Tobyne
- Harvard Medical School, Boston, MA, USA; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Eric C Klawiter
- Harvard Medical School, Boston, MA, USA; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Choukri Mekkaoui
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Bruce R Rosen
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA; Harvard Medical School, Boston, MA, USA; Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Lawrence L Wald
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA; Harvard Medical School, Boston, MA, USA; Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - David H Salat
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Susie Y Huang
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA; Harvard Medical School, Boston, MA, USA; Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA
| |
Collapse
|
9
|
Examining the relationship between nutrition and cerebral structural integrity in older adults without dementia. Nutr Res Rev 2018; 32:79-98. [PMID: 30378509 DOI: 10.1017/s0954422418000185] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
The proportion of adults aged 60 years and over is expected to increase over the coming decades. This ageing of the population represents an important health issue, given that marked reductions to cerebral macro- and microstructural integrity are apparent with increasing age. Reduced cerebral structural integrity in older adults appears to predict poorer cognitive performance, even in the absence of clinical disorders such as dementia. As such, it is becoming increasingly important to identify those factors predicting cerebral structural integrity, especially factors that are modifiable. One such factor is nutritional intake. While the literature is limited, data from available cross-sectional studies indicate that increased intake of nutrients such as B vitamins (for example, B6, B12 and folate), choline, n-3 fatty acids and vitamin D, or increased adherence to prudent whole diets (for example, the Mediterranean diet) predicts greater cerebral structural integrity in older adults. There is even greater scarcity of randomised clinical trials investigating the effects of nutritional supplementation on cerebral structure, though it appears that supplementation with B vitamins (B6, B12 and folic acid) or n-3 fatty acids (DHA or EPA) may be beneficial. The current review presents an overview of available research examining the relationship between key nutrients or adherence to select diets and cerebral structural integrity in dementia-free older adults.
Collapse
|
10
|
Benitez A, Jensen JH, Falangola MF, Nietert PJ, Helpern JA. Modeling white matter tract integrity in aging with diffusional kurtosis imaging. Neurobiol Aging 2018; 70:265-275. [PMID: 30055412 PMCID: PMC6195210 DOI: 10.1016/j.neurobiolaging.2018.07.006] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2018] [Revised: 07/03/2018] [Accepted: 07/10/2018] [Indexed: 01/25/2023]
Abstract
Myelin breakdown and neural fiber loss occur in aging. This study used white matter tract integrity metrics derived from biophysical modeling using Diffusional Kurtosis Imaging to assess loss of myelin (i.e., extraaxonal diffusivity, radial direction, De,⊥) and axonal density (i.e., axonal water fraction) in cognitively unimpaired older adults. Tract-based spatial statistics and region of interest analyses sought to identify ontogenic differences and age-related changes in white matter tracts using cross-sectional and longitudinal data analyzed with general linear and mixed-effects models. In addition to pure diffusion parameters (i.e., fractional anisotropy, mean diffusivity, mean kurtosis), we found that white matter tract integrity metrics significantly differentiated early- from late-myelinating tracts, correlated with age in spatially distinct regions, and identified primarily extraaxonal changes over time. Percent metric changes were |0.3-0.9|% and |0.0-1.9|% per year using cross-sectional data and longitudinal data, respectively. There was accelerated decline in some late- versus early-myelinating tracts in older age. These results demonstrate that these metrics may inform further study of the transition from age-related changes to neurodegenerative decline.
Collapse
Affiliation(s)
- Andreana Benitez
- Center for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, USA; Department of Neurology, Medical University of South Carolina, Charleston, SC, USA; Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
| | - Jens H Jensen
- Center for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, USA; Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA; Department of Neuroscience, Medical University of South Carolina, Charleston, SC, USA
| | - Maria Fatima Falangola
- Center for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, USA; Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA; Department of Neuroscience, Medical University of South Carolina, Charleston, SC, USA
| | - Paul J Nietert
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA
| | - Joseph A Helpern
- Center for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, USA; Department of Neurology, Medical University of South Carolina, Charleston, SC, USA; Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA; Department of Neuroscience, Medical University of South Carolina, Charleston, SC, USA
| |
Collapse
|
11
|
Connor M, Karunamuni R, McDonald C, Seibert T, White N, Moiseenko V, Bartsch H, Farid N, Kuperman J, Krishnan A, Dale A, Hattangadi-Gluth JA. Regional susceptibility to dose-dependent white matter damage after brain radiotherapy. Radiother Oncol 2017; 123:209-217. [PMID: 28460824 PMCID: PMC5518466 DOI: 10.1016/j.radonc.2017.04.006] [Citation(s) in RCA: 83] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2017] [Revised: 03/31/2017] [Accepted: 04/04/2017] [Indexed: 01/07/2023]
Abstract
BACKGROUND AND PURPOSE Regional differences in sensitivity to white matter damage after brain radiotherapy (RT) are not well-described. We characterized the spatial heterogeneity of dose-response across white matter tracts using diffusion tensor imaging (DTI). MATERIALS AND METHODS Forty-nine patients with primary brain tumors underwent MRI with DTI before and 9-12months after partial-brain RT. Maps of fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were generated. Atlas-based white matter tracts were identified. A secondary analysis using skeletonized tracts was also performed. Linear mixed-model analysis of the relationship between mean and max dose and percent change in DTI metrics was performed. RESULTS Tracts with the strongest correlation of FA change with mean dose were the fornix (-0.46 percent/Gy), cingulum bundle (-0.44 percent/Gy), and body of corpus callosum (-0.23 percent/Gy), p<.001. These tracts also showed dose-sensitive changes in MD and RD. In the skeletonized analysis, the fornix and cingulum bundle remained highly dose-sensitive. Maximum and mean dose were similarly predictive of DTI change. CONCLUSIONS The corpus callosum, cingulum bundle, and fornix show the most prominent dose-dependent changes following RT. Future studies examining correlation with cognitive functioning and potential avoidance of critical white matter regions are warranted.
Collapse
Affiliation(s)
- Michael Connor
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, United States
| | - Roshan Karunamuni
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, United States; Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, California, United States
| | - Carrie McDonald
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, United States; Department of Psychiatry, University of California San Diego, La Jolla, California, United States; Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, California, United States
| | - Tyler Seibert
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, United States; Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, California, United States
| | - Nathan White
- Department of Radiology, University of California San Diego, La Jolla, California, United States; Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, California, United States
| | - Vitali Moiseenko
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, United States
| | - Hauke Bartsch
- Department of Radiology, University of California San Diego, La Jolla, California, United States; Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, California, United States
| | - Nikdokht Farid
- Department of Radiology, University of California San Diego, La Jolla, California, United States; Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, California, United States
| | - Joshua Kuperman
- Department of Radiology, University of California San Diego, La Jolla, California, United States; Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, California, United States
| | - Anitha Krishnan
- Department of Radiology, University of California San Diego, La Jolla, California, United States; Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, California, United States
| | - Anders Dale
- Department of Radiology, University of California San Diego, La Jolla, California, United States; Department of Psychiatry, University of California San Diego, La Jolla, California, United States; Department of Neurosciences, University of California San Diego, La Jolla, California, United States; Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, California, United States
| | - Jona A Hattangadi-Gluth
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, United States; Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, California, United States.
| |
Collapse
|
12
|
Dissociable diffusion MRI patterns of white matter microstructure and connectivity in Alzheimer's disease spectrum. Sci Rep 2017; 7:45131. [PMID: 28338052 PMCID: PMC5364534 DOI: 10.1038/srep45131] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2016] [Accepted: 02/15/2017] [Indexed: 11/08/2022] Open
Abstract
Recent efforts using diffusion tensor imaging (DTI) have documented white matter (WM) alterations in Alzheimer's disease (AD). The full potential of whole-brain DTI, however, has not been fully exploited as studies have focused on individual microstructural indices independently. In patients with AD (n = 79), mild (MCI, n = 55) and subjective (SCI, n = 30) cognitive impairment, we applied linked independent component analysis (LICA) to model inter-subject variability across five complementary DTI measures (fractional anisotropy (FA), axial/radial/mean diffusivity, diffusion tensor mode), two crossing fiber measures estimated using a multi-compartment crossing-fiber model reflecting the volume fraction of the dominant (f1) and non-dominant (f2) diffusion orientation, and finally, connectivity density obtained from full-brain probabilistic tractography. The LICA component explaining the largest data variance was highly sensitive to disease severity (AD < MCI < SCI) and revealed widespread coordinated decreases in FA and f1 with increases in all diffusivity measures in AD. Additionally, it reflected regional coordinated decreases and increases in f2, mode and connectivity density, implicating bidirectional alterations of crossing fibers in the fornix, uncinate fasciculi, corpus callosum and major sensorimotor pathways. LICA yielded improved diagnostic classification performance compared to univariate region-of-interest features. Our results document coordinated WM microstructural and connectivity alterations in line with disease severity across the AD continuum.
Collapse
|
13
|
Postmortem MRI: a novel window into the neurobiology of late life cognitive decline. Neurobiol Aging 2016; 45:169-177. [PMID: 27459937 PMCID: PMC5003419 DOI: 10.1016/j.neurobiolaging.2016.05.023] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2015] [Revised: 05/02/2016] [Accepted: 05/30/2016] [Indexed: 01/30/2023]
Abstract
This study tested the hypothesis that indices of brain tissue integrity derived from postmortem magnetic resonance imaging (MRI) are associated with late life decline in cognitive function and dementia, over and above contributions from common age-related neuropathologies. Cerebral hemispheres were obtained from 425 deceased older adults who had undergone 2 or more annual cognitive assessments, which included clinical diagnosis of dementia. Specimens underwent MRI to produce maps of transverse relaxation rate, R2. Voxelwise regression revealed brain regions where R2 was associated with cognitive decline. We then used random effects models to quantify the extent to which R2 accounted for variation in decline, after adjustment for demographics and neuropathologic indices of the 3 most common causes of dementia: Alzheimer's disease, cerebrovascular disease, and Lewy body disease. We additionally tested whether R2 was tied to greater likelihood of clinical diagnosis of Alzheimer's dementia using logistic regression models. During an average of 8.1 years, the mean rate of decline in global cognitive function was 0.13 unit per year (p < 0.0001). The tissue alteration most commonly related to decline was R2 slowing in white matter. Each unit decrease in R2 was associated with an additional 0.053-unit per year steepening of the rate of global cognitive decline (p < 0.001). Furthermore, R2 accounted for 8.4% of the variance in rate of global cognitive decline, above and beyond the 26.5% accounted for by demographics and neuropathologic indices, and 7.1%-11.2% of the variance of the decline rates in episodic, semantic, and working memory and perceptual speed. Alterations in R2 were also related to an increased odds of clinical diagnosis of Alzheimer's dementia (odds ratio = 2.000, 95% confidence interval 1.600, 2.604). Therefore, postmortem MRI indices of brain tissue integrity, particularly in white matter, are useful for elucidating the basis of late life cognitive impairment in older adults and complement traditional indices of neuropathology derived using histopathologic methods.
Collapse
|
14
|
Accelerated DNA methylation age: Associations with PTSD and neural integrity. Psychoneuroendocrinology 2016; 63:155-62. [PMID: 26447678 PMCID: PMC4695261 DOI: 10.1016/j.psyneuen.2015.09.020] [Citation(s) in RCA: 105] [Impact Index Per Article: 13.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2015] [Revised: 09/11/2015] [Accepted: 09/20/2015] [Indexed: 11/23/2022]
Abstract
BACKGROUND Accumulating evidence suggests that posttraumatic stress disorder (PTSD) may accelerate cellular aging and lead to premature morbidity and neurocognitive decline. METHODS This study evaluated associations between PTSD and DNA methylation (DNAm) age using recently developed algorithms of cellular age by Horvath (2013) and Hannum et al. (2013). These estimates reflect accelerated aging when they exceed chronological age. We also examined if accelerated cellular age manifested in degraded neural integrity, indexed via diffusion tensor imaging. RESULTS Among 281 male and female veterans of the conflicts in Iraq and Afghanistan, DNAm age was strongly related to chronological age (rs ∼.88). Lifetime PTSD severity was associated with Hannum DNAm age estimates residualized for chronological age (β=.13, p=.032). Advanced DNAm age was associated with reduced integrity in the genu of the corpus callosum (β=-.17, p=.009) and indirectly linked to poorer working memory performance via this region (indirect β=-.05, p=.029). Horvath DNAm age estimates were not associated with PTSD or neural integrity. CONCLUSIONS Results provide novel support for PTSD-related accelerated aging in DNAm and extend the evidence base of known DNAm age correlates to the domains of neural integrity and cognition.
Collapse
|