Cognitive and Brain Profiles Associated with Current Neuroimaging Biomarkers of Preclinical Alzheimer's Disease
| Autor: | Malo Gaubert, Loïc Doeuvre, Florent L. Besson, Francis Eustache, Vincent de La Sayette, L. Barre, Gaël Chételat, Renaud La Joie, Meziane Ibazizene, Florence Mézenge, Brigitte Landeau, Béatrice Desgranges, Ahmed Abbas, Stéphanie Egret |
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| Přispěvatelé: | Neuropsychologie cognitive et neuroanatomie fonctionnelles de la mémoire humaine, Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de médecine nucléaire [CHU Caen], Normandie Université (NU)-Normandie Université (NU)-CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Tumorothèque de Caen Basse-Normandie (TCBN), CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN), Imagerie et Stratégies Thérapeutiques des pathologies Cérébrales et Tumorales (ISTCT), Normandie Université (NU)-Normandie Université (NU)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS), Normandie Université (NU)-Normandie Université (NU)-École Pratique des Hautes Études (EPHE) |
| Rok vydání: | 2015 |
| Předmět: |
Male
FDG [SDV]Life Sciences [q-bio] Population Neuroimaging Plaque Amyloid Disease Neuropsychological Tests Multimodal Imaging 03 medical and health sciences 0302 clinical medicine Alzheimer Disease Image Interpretation Computer-Assisted medicine Humans Cognitive Dysfunction Prefrontal cortex education 030304 developmental biology Aged Aged 80 and over 0303 health sciences education.field_of_study General Neuroscience Neurodegeneration Neuropsychology amyloid Brain Articles Alzheimer's disease Middle Aged medicine.disease Magnetic Resonance Imaging PET Positron-Emission Tomography Nerve Degeneration Biomarker (medicine) Female Psychology Neuroscience 030217 neurology & neurosurgery Biomarkers MRI |
| Zdroj: | Journal of Neuroscience Journal of Neuroscience, Society for Neuroscience, 2015, 35 (29), pp.10402-11. ⟨10.1523/JNEUROSCI.0150-15.2015⟩ Journal of Neuroscience, 2015, 35 (29), pp.10402-11. ⟨10.1523/JNEUROSCI.0150-15.2015⟩ |
| ISSN: | 1529-2401 0270-6474 |
| Popis: | Neuroimaging biomarkers, namely hippocampal volume loss, temporoparietal hypometabolism, and neocortical β-amyloid (Aβ) deposition, are included in the recent research criteria for preclinical Alzheimer's disease (AD). However, how to use these biomarkers is still being debated, especially regarding their sequence. Our aim was to characterize the cognitive and brain profiles of elders classified as positive or negative for each biomarker to further our understanding of their use in the preclinical diagnosis of AD. Fifty-four cognitively normal individuals (age = 65.8 ± 8.3 years) underwent neuropsychological tests (structural MRI, FDG-PET, and Florbetapir-PET) and were dichotomized into positive or negative independently for each neuroimaging biomarker. Demographic, neuropsychological, and neuroimaging data were compared between positive and negative subgroups. The MRI-positive subgroup had lower executive performances and mixed patterns of lower volume and metabolism in AD-characteristic regions and in the prefrontal cortex. The FDG-positive subgroup showed only hypometabolism, predominantly in AD-sensitive areas extending to the whole neocortex, compared with the FDG-negative subgroup. The amyloid-positive subgroup was older and included more APOE e4 carriers compared with the amyloid-negative subgroup. When considering MRI and/or FDG biomarkers together (i.e., the neurodegeneration-positive), there was a trend for an inverse relationship with Aβ deposition such that those with neurodegeneration tended to show less Aβ deposition and the reverse was true as well. Our findings suggest that: (1) MRI and FDG biomarkers provide complementary rather than redundant information and (2) relatively young cognitively normal elders tend to have either neurodegeneration or Aβ deposition, but not both, suggesting additive rather than sequential/causative links between AD neuroimaging biomarkers at this age. Significance statement: Neuroimaging biomarkers are included in the recent research criteria for preclinical Alzheimer's disease (AD). However, how to use these biomarkers is still being debated, especially regarding their sequence. Our findings suggest that MRI and FDG-PET biomarkers should be used in combination, offering an additive contribution instead of reflecting the same process of neurodegeneration. Moreover, the present study also challenges the hierarchical use of the neuroimaging biomarkers in preclinical AD because it suggests that the neurodegeneration observed in this population is not due to β-amyloid deposition. Rather, our results suggest that β-amyloid- and tau-related pathological processes may interact but not necessarily appear in a systematic sequence. |
| Databáze: | OpenAIRE |
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