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Groot C, Risacher SL, Chen JQA, Dicks E, Saykin AJ, Mac Donald CL, Mez J, Trittschuh EH, Mukherjee S, Barkhof F, Scheltens P, van der Flier WM, Ossenkoppele R, Crane PK. Differential trajectories of hypometabolism across cognitively-defined Alzheimer's disease subgroups. NEUROIMAGE-CLINICAL 2021; 31:102725. [PMID: 34153688 PMCID: PMC8238088 DOI: 10.1016/j.nicl.2021.102725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 05/28/2021] [Accepted: 06/08/2021] [Indexed: 11/26/2022]
Abstract
Cognitive-subgroups can be identified among individuals
with AD dementia. Subgroup-specific patterns and longitudinal trajectories of
hypometabolism observed. Regional hypometabolism matched respective cognitive
profiles of subgroups. Cognitive-classification yields biologically distinct
subgroups.
Disentangling biologically distinct subgroups of Alzheimer’s
disease (AD) may facilitate a deeper understanding of the neurobiology underlying
clinical heterogeneity. We employed longitudinal [18F]FDG-PET
standardized uptake value ratios (SUVRs) to map hypometabolism across
cognitively-defined AD subgroups. Participants were 384 amyloid-positive individuals
with an AD dementia diagnosis from ADNI who had a total of 1028 FDG-scans (mean time
between first and last scan: 1.6 ± 1.8 years). These participants were categorized
into subgroups on the basis of substantial impairment at time of dementia diagnosis
in a specific cognitive domain relative to the average across domains. This approach
resulted in groups of AD-Memory (n = 135), AD-Executive (n = 8), AD-Language
(n = 22), AD-Visuospatial (n = 44), AD-Multiple Domains (n = 15) and AD-No Domains
(for whom no domain showed substantial relative impairment; n = 160). Voxelwise
contrasts against controls revealed that all AD-subgroups showed progressive
hypometabolism compared to controls across temporoparietal regions at time of AD
diagnosis. Voxelwise and regions-of-interest (ROI)-based linear mixed model analyses
revealed there were also subgroup-specific hypometabolism patterns and trajectories.
The AD-Memory group had more pronounced hypometabolism compared to all other groups
in the medial temporal lobe and posterior cingulate, and faster decline in metabolism
in the medial temporal lobe compared to AD-Visuospatial. The AD-Language group had
pronounced lateral temporal hypometabolism compared to all other groups, and the
pattern of metabolism was also more asymmetrical (left < right) than all other
groups. The AD-Visuospatial group had faster decline in metabolism in parietal
regions compared to all other groups, as well as faster decline in the precuneus
compared to AD-Memory and AD-No Domains. Taken together, in addition to a common
pattern, cognitively-defined subgroups of people with AD dementia show
subgroup-specific hypometabolism patterns, as well as differences in trajectories of
metabolism over time. These findings provide support to the notion that
cognitively-defined subgroups are biologically distinct.
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Affiliation(s)
- Colin Groot
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
| | | | - J Q Alida Chen
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
| | - Ellen Dicks
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
| | - Andrew J Saykin
- Indiana University School of Medicine, Indianapolis, IN, USA.
| | | | - Jesse Mez
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA; Alzheimer's Disease Center, Boston University School of Medicine, MA, USA.
| | - Emily H Trittschuh
- Psychiatry & Behavioral Science, University of Washington, Seattle, WA, USA; Veterans Affairs Puget Sound Health Care System, Geriatric Research, Education, & Clinical Center, Seattle, WA, USA
| | | | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands; University College London, Institutes of Neurology & Healthcare Engineering, London, United Kingdom.
| | - Philip Scheltens
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
| | - Wiesje M van der Flier
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands; Epidemiology and Data Science, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
| | - Rik Ossenkoppele
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands; Lund University, Clinical Memory Research Unit, Lund, Sweden.
| | - Paul K Crane
- Department of Medicine, University of Washington, Seattle, WA, USA
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Groot C, Grothe MJ, Mukherjee S, Jelistratova I, Jansen I, van Loenhoud AC, Risacher SL, Saykin AJ, Mac Donald CL, Mez J, Trittschuh EH, Gryglewski G, Lanzenberger R, Pijnenburg YAL, Barkhof F, Scheltens P, van der Flier WM, Crane PK, Ossenkoppele R. Differential patterns of gray matter volumes and associated gene expression profiles in cognitively-defined Alzheimer's disease subgroups. Neuroimage Clin 2021; 30:102660. [PMID: 33895633 PMCID: PMC8186562 DOI: 10.1016/j.nicl.2021.102660] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 02/25/2021] [Accepted: 03/30/2021] [Indexed: 01/04/2023]
Abstract
The clinical presentation of Alzheimer's disease (AD) varies widely across individuals but the neurobiological mechanisms underlying this heterogeneity are largely unknown. Here, we compared regional gray matter (GM) volumes and associated gene expression profiles between cognitively-defined subgroups of amyloid-β positive individuals clinically diagnosed with AD dementia (age: 66 ± 7, 47% male, MMSE: 21 ± 5). All participants underwent neuropsychological assessment with tests covering memory, executive-functioning, language and visuospatial-functioning domains. Subgroup classification was achieved using a psychometric framework that assesses which cognitive domain shows substantial relative impairment compared to the intra-individual average across domains, which yielded the following subgroups in our sample; AD-Memory (n = 41), AD-Executive (n = 117), AD-Language (n = 33), AD-Visuospatial (n = 171). We performed voxel-wise contrasts of GM volumes derived from 3Tesla structural MRI between subgroups and controls (n = 127, age 58 ± 9, 42% male, MMSE 29 ± 1), and observed that differences in regional GM volumes compared to controls closely matched the respective cognitive profiles. Specifically, we detected lower medial temporal lobe GM volumes in AD-Memory, lower fronto-parietal GM volumes in AD-Executive, asymmetric GM volumes in the temporal lobe (left < right) in AD-Language, and lower GM volumes in posterior areas in AD-Visuospatial. In order to examine possible biological drivers of these differences in regional GM volumes, we correlated subgroup-specific regional GM volumes to brain-wide gene expression profiles based on a stereotactic characterization of the transcriptional architecture of the human brain as provided by the Allen human brain atlas. Gene-set enrichment analyses revealed that variations in regional expression of genes involved in processes like mitochondrial respiration and metabolism of proteins were associated with patterns of regional GM volume across multiple subgroups. Other gene expression vs GM volume-associations were only detected in particular subgroups, e.g., genes involved in the cell cycle for AD-Memory, specific sets of genes related to protein metabolism in AD-Language, and genes associated with modification of gene expression in AD-Visuospatial. We conclude that cognitively-defined AD subgroups show neurobiological differences, and distinct biological pathways may be involved in the emergence of these differences.
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Affiliation(s)
- Colin Groot
- Department of Neurology & Alzheimer Center, Amsterdam University Medical Center - Location VU University Medical Center, Amsterdam, The Netherlands.
| | - Michel J Grothe
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain; German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.
| | | | | | - Iris Jansen
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University, Amsterdam, The Netherlands.
| | - Anna Catharina van Loenhoud
- Department of Neurology & Alzheimer Center, Amsterdam University Medical Center - Location VU University Medical Center, Amsterdam, The Netherlands.
| | | | - Andrew J Saykin
- Indiana University School of Medicine, Indianapolis, IN, USA.
| | | | - Jesse Mez
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA; Alzheimer's Disease Center, Boston University School of Medicine, MA, USA.
| | - Emily H Trittschuh
- Psychiatry & Behavioral Science, University of Washington, Seattle, WA, USA; Veterans Affairs Puget Sound Health Care System, Geriatric Research, Education, & Clinical Center, Seattle, WA, USA.
| | - Gregor Gryglewski
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.
| | - Rupert Lanzenberger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.
| | - Yolande A L Pijnenburg
- Department of Neurology & Alzheimer Center, Amsterdam University Medical Center - Location VU University Medical Center, Amsterdam, The Netherlands.
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center - Location VU University Medical Center, Amsterdam, The Netherlands; University College London, Institutes of Neurology & Healthcare Engineering, London, United Kingdom.
| | - Philip Scheltens
- Department of Neurology & Alzheimer Center, Amsterdam University Medical Center - Location VU University Medical Center, Amsterdam, The Netherlands.
| | - Wiesje M van der Flier
- Department of Neurology & Alzheimer Center, Amsterdam University Medical Center - Location VU University Medical Center, Amsterdam, The Netherlands; Epidemiology and Biostatistics, Amsterdam University Medical Center - Location VU University Medical Center, Amsterdam, The Netherlands.
| | - Paul K Crane
- Department of Medicine, University of Washington, Seattle, WA, USA.
| | - Rik Ossenkoppele
- Department of Neurology & Alzheimer Center, Amsterdam University Medical Center - Location VU University Medical Center, Amsterdam, The Netherlands; Lund University, Clinical Memory Research Unit, Lund, Sweden.
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Scheltens NME, Tijms BM, Heymans MW, Rabinovici GD, Cohn-Sheehy BI, Miller BL, Kramer JH, Wolfsgruber S, Wagner M, Kornhuber J, Peters O, Scheltens P, van der Flier WM. Prominent Non-Memory Deficits in Alzheimer's Disease Are Associated with Faster Disease Progression. J Alzheimers Dis 2019; 65:1029-1039. [PMID: 30103316 DOI: 10.3233/jad-171088] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
BACKGROUND Alzheimer's disease (AD) is a heterogeneous disorder. OBJECTIVE To investigate whether cognitive AD subtypes are associated with different rates of disease progression. METHODS We included 1,066 probable AD patients from the Amsterdam Dementia Cohort (n = 290), Alzheimer's Disease Neuroimaging Initiative (n = 268), Dementia Competence Network (n = 226), and University of California, San Francisco (n = 282) with available follow-up data. Patients were previously clustered into two subtypes based on their neuropsychological test results: one with most prominent memory impairment (n = 663) and one with most prominent non-memory impairment (n = 403). We examined associations between cognitive subtype and disease progression, as measured with repeated Mini-Mental State Examination (MMSE) and Clinical Dementia Rating scale sum of boxes (CDR sob), using linear mixed models. Furthermore, we investigated mortality risk associated with subtypes using Cox proportional hazard analyses. RESULTS Patients were 71±9 years old; 541 (51%) were female. At baseline, pooled non-memory patients had worse MMSE scores (23.1±0.1) and slightly worse CDR sob (4.4±0.1) than memory patients (MMSE 24.0±0.1; p < 0.001; CDR sob 4.1±0.1; p < 0.001). During follow-up, pooled non-memory patients showed steeper annual decline in MMSE (-2.8±0.1) and steeper annual increase in CDR sob (1.8±0.1) than memory patients (MMSE - 1.9±0.1; pinteraction<0.001; CDR sob 1.3±0.1; pinteraction<0.001). Furthermore, the non-memory subtype was associated with an increased risk of mortality compared with the memory subtype at trend level (HR = 1.36, CI = 1.00-1.85, p = 0.05). CONCLUSIONS AD patients with most prominently non-memory impairment show faster disease progression and higher risk of mortality than patients with most prominently memory impairment.
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Affiliation(s)
- Nienke M E Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Betty M Tijms
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Martijn W Heymans
- Department of Epidemiology and Biostatistics, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, The Netherlands
| | - Gil D Rabinovici
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Brendan I Cohn-Sheehy
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Bruce L Miller
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Joel H Kramer
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Steffen Wolfsgruber
- Department of Psychiatry, University of Bonn, Bonn, Germany, and German Center for Neurodegenerative Diseases, Bonn, Germany
| | - Michael Wagner
- Department of Psychiatry, University of Bonn, Bonn, Germany, and German Center for Neurodegenerative Diseases, Bonn, Germany
| | - Johannes Kornhuber
- Department of Psychiatry, Friedrich-Alexander-University Erlangen, Erlangen, Germany
| | - Oliver Peters
- Department of Psychiatry, Charité Berlin, Campus Benjamin Franklin, Berlin, Germany
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
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Ferguson SA, Panos JJ, Sloper D, Varma V. Neurodegenerative Markers are Increased in Postmortem BA21 Tissue from African Americans with Alzheimer's Disease. J Alzheimers Dis 2018; 59:57-66. [PMID: 28582866 DOI: 10.3233/jad-170204] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
BACKGROUND Alzheimer's disease (AD) presents with an earlier onset age and increased symptom severity in African Americans and Hispanics. OBJECTIVE Although the prevalence of plaques and tangles may not exhibit ethnicity-related differences, levels of neurodegenerative proteins have not been described. METHODS Here, levels of five proteins (i.e., S100B, sRAGE, GDNF, Aβ40, and Aβ42) and the Aβ42/Aβ40 ratio were measured in postmortem samples of the middle temporal gyrus (BA21) from age-matched African Americans and Caucasians with AD (n = 6/gender/ethnicity). RESULTS S100B levels were increased 17% in African Americans (p < 0.003) while sRAGE was mildly decreased (p < 0.09). Aβ42 levels were increased 121% in African Americans (p < 0.02), leading to a 493% increase in the Aβ42/Aβ40 ratio (p < 0.002). Analysis of GDNF levels did not indicate any significant effects. There were no significant effects of gender and no significant ethnicity with gender interactions on any analyte. Effect size calculations indicated "medium" to "very large" effects. CONCLUSION S100B is typically elevated in AD cases; however, the increased levels in African Americans here may be indicative of increased severity in specific populations. Increased Aβ42/Aβ40 ratios in the current study are compatible with increased disease severity and might indicate increased AD pathogenesis in African Americans. Overall, these results are compatible with a hypothesis of increased neuroinflammation in African Americans with AD.
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Affiliation(s)
- Sherry A Ferguson
- Division of Neurotoxicology, National Center for Toxicological Research/Food and Drug Administration, Jefferson, AR, USA
| | - John J Panos
- Division of Neurotoxicology, National Center for Toxicological Research/Food and Drug Administration, Jefferson, AR, USA
| | - Daniel Sloper
- Division of Systems Biology, National Center for Toxicological Research/Food and Drug Administration, Jefferson, AR, USA
| | - Vijayalakshmi Varma
- Division of Systems Biology, National Center for Toxicological Research/Food and Drug Administration, Jefferson, AR, USA
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Measuring physiological responses to the arts in people with a dementia. Int J Psychophysiol 2017; 123:64-73. [PMID: 29158118 DOI: 10.1016/j.ijpsycho.2017.11.008] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Revised: 10/24/2017] [Accepted: 11/10/2017] [Indexed: 01/29/2023]
Abstract
The dementias are a group of progressive symptoms that have multiple causes, usually caused by disease or injury of the brain, affecting higher brain functions such as language, perception, memory, reasoning and mood; they can also be associated with changes in personality. Arts interventions and interaction with the arts can create meaningful, positive experiences for people with a dementia, as well as improve quality of life. Qualitative research in particular, has been able to describe the emotional responses the arts can produce, but quantifiable changes have not been well documented. Physiological measurements such as stress hormone levels and galvanic skin response show promise in being able to quantify such responses. When taken together, these can give a picture of the kinds of physiological outcomes that are associated with positive affect and improvements in mental wellbeing in the context of arts interventions. This review provides a critical overview of the studies which measure some form of physiological outcome in response to the arts or an arts intervention in people with dementia, and indicates how future research in this area can help to broaden our understanding of the effects of the arts in dementia research and care.
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Tosto G, Gasparini M, Brickman AM, Letteri F, Renie' R, Piscopo P, Talarico G, Canevelli M, Confaloni A, Bruno G. Neuropsychological predictors of rapidly progressive Alzheimer's disease. Acta Neurol Scand 2015; 132:417-22. [PMID: 25903925 DOI: 10.1111/ane.12415] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/06/2015] [Indexed: 11/29/2022]
Abstract
OBJECTIVE Alzheimer's disease (AD), the most common cause of dementia, typically shows a slow clinical progression over time. 'Rapidly progressive' AD, a variant of the disease characterized by an aggressive course, exhibits distinct clinical, biological, and neuropathological features. Here, we investigate neuropsychological predictors of rapid decline in a group of mild patients with AD. METHODS One hundred fifty-three mild patients with AD admitted to a memory disorder clinic and followed for up to 3 years were included in this study. A comprehensive neuropsychological (NP) battery was performed at the time of enrollment. Patients were defined as 'rapidly progressive' if they exhibited a drop of 6 or more points on the Mini Mental State Examination (MMSE) between two consecutive annual visits. This event defined the main outcome in multiple analyses of variance and Cox proportional hazards models that investigated the impact of NP predictors. Categorical principal component analysis (CATPCA) was also employed in order to delineate clusters of NP tests and to test their effect on the outcome. RESULTS Of 153 subjects, thirty-seven (24%) were classified as 'rapidly progressive'; those subjects showed younger age of symptoms onset compared to slow decliners (68 vs 71.5 years old). Baseline lower performance on a neuropsychological test of naming predicted a rapid decline over the follow-up (P = 0.001). Three clusters of NP were defined by CATPCA: (i) executive/language, (ii) visuospatial memory, and (iii) verbal memory. The executive/language component predicted a rapid decline over the follow-up (P = 0.016). CONCLUSION Early executive/language impairment is highly predictive of a rapid progression of AD.
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Affiliation(s)
- G. Tosto
- Memory Clinic; Department of Neurology and Psychiatry; ‘La Sapienza’ University; Rome Italy
- 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 USA
| | - M. Gasparini
- Memory Clinic; Department of Neurology and Psychiatry; ‘La Sapienza’ University; Rome Italy
| | - A. 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 USA
| | - F. Letteri
- Memory Clinic; Department of Neurology and Psychiatry; ‘La Sapienza’ University; Rome Italy
| | - R. Renie'
- Memory Clinic; Department of Neurology and Psychiatry; ‘La Sapienza’ University; Rome Italy
| | - P. Piscopo
- Department of Cell Biology and Neuroscience; National Institute of Health; Rome Italy
| | - G. Talarico
- Memory Clinic; Department of Neurology and Psychiatry; ‘La Sapienza’ University; Rome Italy
| | - M. Canevelli
- Memory Clinic; Department of Neurology and Psychiatry; ‘La Sapienza’ University; Rome Italy
| | - A. Confaloni
- Department of Cell Biology and Neuroscience; National Institute of Health; Rome Italy
| | - G. Bruno
- Memory Clinic; Department of Neurology and Psychiatry; ‘La Sapienza’ University; Rome Italy
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Adamczuk K, De Weer AS, Nelissen N, Dupont P, Sunaert S, Bettens K, Sleegers K, Van Broeckhoven C, Van Laere K, Vandenberghe R. Functional Changes in the Language Network in Response to Increased Amyloid β Deposition in Cognitively Intact Older Adults. Cereb Cortex 2014; 26:358-73. [PMID: 25452579 DOI: 10.1093/cercor/bhu286] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Word finding symptoms are frequent early in the course of Alzheimer's disease and relate principally to functional changes in left posterior temporal cortex. In cognitively intact older adults, we examined whether amyloid load affects the network for language and associative-semantic processing. Fifty-six community-recruited subjects (52-74 years), stratified for apolipoprotein E and brain-derived neurotrophic factor genotype, received a neurolinguistic assessment, (18)F-flutemetamol positron emission tomography, and a functional MRI of the associative-semantic system. The primary measure of amyloid load was the cerebral-to-cerebellar gray matter standardized uptake value ratio in a composite cortical volume of interest (SUVR(comp)). The primary outcome analysis consisted of a whole-brain voxelwise linear regression between SUVR(comp) and fMRI response during associative-semantic versus visuoperceptual processing. Higher activity in one region, the posterior left middle temporal gyrus, correlated positively with increased amyloid load. The correlation remained significant when only the word conditions were contrasted but not for pictures. According to a stepwise linear regression analysis, offline naming reaction times correlated positively with SUVR(comp). A binary classification into amyloid-positive and amyloid-negative cases confirmed our findings. The left posterior temporal activity increase may reflect higher demands for semantic control in the presence of a higher amyloid burden.
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Affiliation(s)
- Katarzyna Adamczuk
- Laboratory for Cognitive Neurology, KU Leuven, Belgium Alzheimer Research Centre KU Leuven, Leuven Institute of Neurodegenerative Disorders, KU Leuven, Belgium
| | | | - Natalie Nelissen
- Laboratory for Cognitive Neurology, KU Leuven, Belgium Department of Experimental Psychology, Oxford University, UK
| | - Patrick Dupont
- Laboratory for Cognitive Neurology, KU Leuven, Belgium Alzheimer Research Centre KU Leuven, Leuven Institute of Neurodegenerative Disorders, KU Leuven, Belgium
| | - Stefan Sunaert
- Alzheimer Research Centre KU Leuven, Leuven Institute of Neurodegenerative Disorders, KU Leuven, Belgium Radiology Department, UZ Leuven, Belgium
| | - Karolien Bettens
- Neurodegenerative Brain Diseases Group, VIB Department of Molecular Genetics, Antwerp, Belgium Laboratory of Neurogenetics, Institute Born-Bunge, University of Antwerp, Belgium
| | - Kristel Sleegers
- Neurodegenerative Brain Diseases Group, VIB Department of Molecular Genetics, Antwerp, Belgium Laboratory of Neurogenetics, Institute Born-Bunge, University of Antwerp, Belgium
| | - Christine Van Broeckhoven
- Neurodegenerative Brain Diseases Group, VIB Department of Molecular Genetics, Antwerp, Belgium Laboratory of Neurogenetics, Institute Born-Bunge, University of Antwerp, Belgium
| | - Koen Van Laere
- Alzheimer Research Centre KU Leuven, Leuven Institute of Neurodegenerative Disorders, KU Leuven, Belgium Nuclear Medicine and Molecular Imaging Department, KU Leuven and UZ Leuven, Belgium
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, KU Leuven, Belgium Alzheimer Research Centre KU Leuven, Leuven Institute of Neurodegenerative Disorders, KU Leuven, Belgium Neurology Department, UZ Leuven, Belgium
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