Glucose metabolism mainly reflects local atrophy and tau pathology at symptomatic stages of Alzheimer's disease: Neuroimaging / Multi‐modal comparisons. (7th December 2020)

• Record Type: Journal Article
• Authors: Strom, Amelia; Iaccarino, Leonardo; Edwards, Lauren; Lesman‐Segev, Orit H.; Soleimani‐Meigooni, David N.; Jagust, William J.; Miller, Bruce L.; Rabinovici, Gil D.; Joie, Renaud La
• Is Part Of: Alzheimer's & dementia. Volume 16(2020)Supplement 4
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-12-07
• Subjects: Alzheimer's disease -- Periodicals; Alzheimer Disease -- Periodicals; Dementia -- Periodicals; Démence; Maladie d'Alzheimer; Périodique électronique (Descripteur de forme); Ressource Internet (Descripteur de forme); 616.83
• DOI: 10.1002/alz.043968
• Languages: English
• ISSNs: 1552-5260

Abstract

Abstract: Background: We assessed the relative contributions of four potential mechanisms associated with [18F]‐Fluorodeoxyglucose (FDG)‐PET hypometabolism in the posterior cingulate cortex (PCC) and inferior parietal (IP) lobe, two primary regions of hypometabolism in AD: 1) local (amyloid and tau) pathology and atrophy, 2) pathology in functionally connected regions, 3) deafferentation from the degenerating medial temporal lobe (MTL), and 4) vascular injury in the white matter (Figure 1). Method: Eighty‐five patients with MCI or AD dementia underwent MRI and PET with FDG for glucose metabolism, [11C]‐Pittsburgh Compound B (PIB) for amyloid, and [18F]‐Flortaucipir (FTP) for tau within one year (Table 1). SUVR were calculated using tracer‐specific reference regions: pons for FDG, cerebellar cortex for PIB, and inferior cerebellar cortex for FTP. ROIs and volume of white matter hyperintensities (WMH) were defined in native space using FreeSurfer. Regions with high or low connectivity to PCC/IP were defined based on task‐free fMRI data from cognitively normal participants from neurosynth.org (Figure 2). Imaging variables were transformed into age‐adjusted z‐scores using demographic‐matched modality‐specific control groups (Table 1). Multiple regression analyses were run to identify variables associated with FDG‐SUVR, using a composite disease severity score combining Mini‐Mental State Examination and Clinical Dementia Rating scores as a covariate. Result: Local gray matter volume (GMV) and FTP‐SUVR, but not PIB‐SUVR, were independently associated with FDG‐SUVR in PCC (R 2 =.603, βGMV =0.353, βFTP =‐0.374) and IP (R 2 =.702, βGMV =0.419, βFTP =‐0.361) in a model that included disease severity (Table 2). Models including PIB/FTP in connected regions did not outperform models with disease severity and local GMV/FTP alone. Results were similar when including measures of pathology in non‐connected regions. Similarly, models including MTL volume did not outperform models with disease severity and local GMV/FTP alone. Volume of WMH was weakly associated with FDG‐SUVR in PCC but not IP. Conclusion: Hypometabolism reflected local atrophy and tau pathology. A weak association between WMH volume and PCC hypometabolism was seen, suggesting that white matter damage may also be a driver of hypometabolism. Our data did not support hypotheses of a detrimental effect of pathology in connected regions or MTL volume in the symptomatic stage of AD.