ALZHEIMER’S OR LATE ?
Alzheimer's disease
(AD), the leading cause of dementia worldwide, clinically manifests in its
typical form as an amnestic syndrome and is characterized by the aggregation
and accumulation of abnormal amyloid-β and tau proteins. However, AD is not the
only cause of progressive amnesia. The latter can also result from a related
pathology, limbic-predominant age-related TDP-43 encephalopathy (LATE), which
initially presents with a clinical picture similar to AD. LATE is associated
with another proteinopathy (TDP-43) and follows a distinct clinical
progression. Currently, it is impossible to definitively diagnose LATE in
living patients.
WHITE MATTER: A DISCRIMINATING BIOMARKER ?
In a
recent groundbreaking study, the authors tested the hypothesis that white
matter analysis could differentiate Alzheimer’s disease (AD) from LATE, pathologies
primarily considered to affect gray matter. Their approach was based on the fixel-based
method, an advanced diffusion MRI technique that characterizes fiber
orientations within a voxel, enabling detailed investigation of the brain’s
white matter bundles. The results underscored the value of this approach for
studying early nerve fiber alterations in both diseases.
In this new study, the researchers present the results of a longitudinal
analysis tracking the evolution of white matter alterations over two years
in two patient groups, early-stage AD and presumed LATE, at inclusion and
during follow-up. They assessed i) cognitive and functional decline in
both groups, and ii) amyloid and tau burden measured via PET imaging at
inclusion in AD patients. In both AD and presumed LATE, the authors
observed a progression of white matter bundle alterations in the
temporo-parietal and temporo-frontal tracts, most of which were already present
at inclusion, as well as, to a lesser extent, in Arnold’s temporopulvinar
tract. They also identified differential progression patterns depending on
the pathology: in AD, alterations primarily affected temporal fasciculi,
limbic pathways, and the cingulum, whereas in presumed LATE, they mainly
involved the bilateral superior longitudinal fasciculi. Alterations in these
fiber tracts at inclusion were associated with faster cognitive decline.
However, there were only weak associations between white matter tract
alterations and amyloid or tau burden measured by PET at inclusion in AD.
This study demonstrates that fixel-based analysis of diffusion MRI images can
precisely reveal distinct white matter alterations in patients with similar
cognitive impairments, suggesting that these changes could serve as a potential
predictive biomarker for cognitive decline, differentiating Alzheimer’s disease
from LATE.
Legend: Fixel whole-brain analyses in patients with AD © Lebrun et al., Geroscience, 2026
Contacts : Aurélie
Lebrun (aurelie.lebrun98@gmail.com) ; Yann
Leprince (yann.leprince@cea.fr) ; Michel
Bottlaender (michel.bottlaender@cea.fr)
Fixel analysis (fibre element within a voxel) is based on i) constrained spherical deconvolution (CSD) modelling, which estimates fibre orientation; ii) segmentation of the principal orientations within a voxel into one or more fixels; iii) statistical analysis of parameters specific to each fixel: fibre density and fibre bundle cross-sectional area. Used in the study of several nervous system disorders (multiple sclerosis, Alzheimer’s and Parkinson’s diseases, head injuries, paediatric brain development, normal and pathological ageing, and psychiatry), fixel analysis is now regarded as one of the most powerful methods for the detailed study of white matter tracts in diffusion MRI.
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