Data-driven FDG-PET subtypes of Alzheimer's disease-related neurodegeneration
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Data-driven FDG-PET subtypes of Alzheimer's disease-related neurodegeneration. / Levin, Fedor; Ferreira, Daniel; Lange, Catharina; Dyrba, Martin; Westman, Eric; Buchert, Ralph; Teipel, Stefan J; Grothe, Michel J; Alzheimer’s Disease Neuroimaging Initiative.
in: ALZHEIMERS RES THER, Jahrgang 13, Nr. 1, 49, 19.02.2021.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
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TY - JOUR
T1 - Data-driven FDG-PET subtypes of Alzheimer's disease-related neurodegeneration
AU - Levin, Fedor
AU - Ferreira, Daniel
AU - Lange, Catharina
AU - Dyrba, Martin
AU - Westman, Eric
AU - Buchert, Ralph
AU - Teipel, Stefan J
AU - Grothe, Michel J
AU - Alzheimer’s Disease Neuroimaging Initiative
PY - 2021/2/19
Y1 - 2021/2/19
N2 - BACKGROUND: Previous research has described distinct subtypes of Alzheimer's disease (AD) based on the differences in regional patterns of brain atrophy on MRI. We conducted a data-driven exploration of distinct AD neurodegeneration subtypes using FDG-PET as a sensitive molecular imaging marker of neurodegenerative processes.METHODS: Hierarchical clustering of voxel-wise FDG-PET data from 177 amyloid-positive patients with AD dementia enrolled in the Alzheimer's Disease Neuroimaging Initiative (ADNI) was used to identify distinct hypometabolic subtypes of AD, which were then further characterized with respect to clinical and biomarker characteristics. We then classified FDG-PET scans of 217 amyloid-positive patients with mild cognitive impairment ("prodromal AD") according to the identified subtypes and studied their domain-specific cognitive trajectories and progression to dementia over a follow-up interval of up to 72 months.RESULTS: Three main hypometabolic subtypes were identified: (i) "typical" (48.6%), showing a classic posterior temporo-parietal hypometabolic pattern; (ii) "limbic-predominant" (44.6%), characterized by old age and a memory-predominant cognitive profile; and (iii) a relatively rare "cortical-predominant" subtype (6.8%) characterized by younger age and more severe executive dysfunction. Subtypes classified in the prodromal AD sample demonstrated similar subtype characteristics as in the AD dementia sample and further showed differential courses of cognitive decline.CONCLUSIONS: These findings complement recent research efforts on MRI-based identification of distinct AD atrophy subtypes and may provide a potentially more sensitive molecular imaging tool for early detection and characterization of AD-related neurodegeneration variants at prodromal disease stages.
AB - BACKGROUND: Previous research has described distinct subtypes of Alzheimer's disease (AD) based on the differences in regional patterns of brain atrophy on MRI. We conducted a data-driven exploration of distinct AD neurodegeneration subtypes using FDG-PET as a sensitive molecular imaging marker of neurodegenerative processes.METHODS: Hierarchical clustering of voxel-wise FDG-PET data from 177 amyloid-positive patients with AD dementia enrolled in the Alzheimer's Disease Neuroimaging Initiative (ADNI) was used to identify distinct hypometabolic subtypes of AD, which were then further characterized with respect to clinical and biomarker characteristics. We then classified FDG-PET scans of 217 amyloid-positive patients with mild cognitive impairment ("prodromal AD") according to the identified subtypes and studied their domain-specific cognitive trajectories and progression to dementia over a follow-up interval of up to 72 months.RESULTS: Three main hypometabolic subtypes were identified: (i) "typical" (48.6%), showing a classic posterior temporo-parietal hypometabolic pattern; (ii) "limbic-predominant" (44.6%), characterized by old age and a memory-predominant cognitive profile; and (iii) a relatively rare "cortical-predominant" subtype (6.8%) characterized by younger age and more severe executive dysfunction. Subtypes classified in the prodromal AD sample demonstrated similar subtype characteristics as in the AD dementia sample and further showed differential courses of cognitive decline.CONCLUSIONS: These findings complement recent research efforts on MRI-based identification of distinct AD atrophy subtypes and may provide a potentially more sensitive molecular imaging tool for early detection and characterization of AD-related neurodegeneration variants at prodromal disease stages.
KW - Alzheimer Disease/complications
KW - Brain/diagnostic imaging
KW - Cognitive Dysfunction/diagnostic imaging
KW - Fluorodeoxyglucose F18
KW - Humans
KW - Magnetic Resonance Imaging
KW - Positron-Emission Tomography
U2 - 10.1186/s13195-021-00785-9
DO - 10.1186/s13195-021-00785-9
M3 - SCORING: Journal article
C2 - 33608059
VL - 13
JO - ALZHEIMERS RES THER
JF - ALZHEIMERS RES THER
SN - 1758-9193
IS - 1
M1 - 49
ER -
