Multimodal assessment of brain fluid clearance is associated with amyloid-beta deposition in humans.
J Neuroradiol
; 2023 Oct 30.
Article
em En
| MEDLINE
| ID: mdl-37907155
ABSTRACT
PURPOSE:
The present study investigates a multimodal imaging assessment of glymphatic function and its association with brain amyloid-beta deposition.METHODS:
Two brain CSF clearance measures (vCSF and DTI-ALPS) were derived from dynamic PET and MR diffusion tensor imaging (DTI) for 50 subjects, 24/50 were Aß positive (Aß+). T1W, T2W, DTI, T2FLAIR, and 11C-PiB and 18F-MK-6240 PET were acquired. Multivariate linear regression models were assessed with both vCSF and DTI-ALPS as independent variables and brain Aß as the dependent variable. Three types of models were evaluated, including the vCSF-only model, the ALPS-only model and the vCSF+ALPS combined model. Models were applied to the whole group, and Aß subgroups. All analyses were controlled for age, gender, and intracranial volume.RESULTS:
Sample demographics (N=50) include 20 males and 30 females with a mean age of 69.30 (sd=8.55). Our results show that the combination of vCSF and ALPS associates with Aß deposition (p < 0.05, R2 = 0.575) better than either vCSF (p < 0.05, R2 = 0.431) or ALPS (p < 0.05, R2 = 0.372) alone in the Aß+ group. We observed similar results in whole-group analyses (combined model p < 0.05, R2 = 0.287; vCSF model p <0.05, R2 = 0.175; ALPS model p < 0.05, R2 = 0.196) with less significance. Our data also showed that vCSF has higher correlation (r = -0.548) in subjects with mild Aß deposition and DTI-ALPS has higher correlation (r=-0.451) with severe Aß deposition subjects.CONCLUSION:
The regression model with both vCSF and DTI-ALPS is better associated with brain Aß deposition. These two independent brain clearance measures may better explain the variation in Aß deposition than either term individually. Our results suggest that vCSF and DTI-ALPS reflect complementary aspects of brain clearance functions.
Texto completo:
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Coleções:
01-internacional
Base de dados:
MEDLINE
Idioma:
En
Revista:
J Neuroradiol
Ano de publicação:
2023
Tipo de documento:
Article
País de afiliação:
Estados Unidos