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Record W4390198477 · doi:10.1002/alz.081863

Increased regional brain inflammation predicts longitudinal brain atrophy in individuals in the Alzheimer’s disease continuum

2023· article· en· W4390198477 on OpenAlexaff
Guilherme Povala, Bruna Bellaver, Pâmela C.L. Ferreira, Firoza Z Lussier, João Pedro Ferrari‐Souza, Douglas Teixeira Leffa, Cécile Tissot, Joseph Therriault, Gleb Bezgin, Stijn Servaes, Andréa Lessa Benedet, Jenna Stevenson, Nesrine Rahmouni, Ann D. Cohen, Oscar L. López, Dana Tudorascu, William E. Klunk, Victor L. Villemagne, Thomas K. Karikari, Eduardo R. Zimmer, Pedro Rosa‐Neto, Tharick A. Pascoal

Bibliographic record

VenueAlzheimer s & Dementia · 2023
Typearticle
Languageen
FieldNeuroscience
TopicNeuroinflammation and Neurodegeneration Mechanisms
Canadian institutionsMcGill University
Fundersnot available
KeywordsAtrophyVoxel-based morphometryNeuroscienceMedicineTemporal cortexEntorhinal cortexCingulate cortexBrain morphometryPsychologyPathologyWhite matterMagnetic resonance imagingCentral nervous systemHippocampusRadiology

Abstract

fetched live from OpenAlex

Abstract Background Neuroinflammation typically involves the activation of microglial cells in the brain and has been linked to Alzheimer’s disease (AD) pathology. However, how microglial activation influences brain neurodegeneration in individuals across the AD continuum is still poorly understood. Here, we aimed to investigate the influence of microglial activation in longitudinal brain atrophy in individuals across the AD continuum. We hypothesize that high levels of regional brain inflammation predict widespread brain atrophy. Method We assessed 95 individuals from the TRIAD cohort (60 cognitively unimpaired and 35 cognitively impaired) with available [11C]PBR28‐PET, a measure of microglial activation, and a 2‐year longitudinal MRI (mean = 2.07 years). We generated grey matter voxel‐based morphometry (VBM) images using SPM12 and DARTEL, smoothed with a Gaussian kernel of full‐width half maximum of 8mm. We built the uncorrected (p < 0.05) association matrix between the [11C]PBR28‐PET SUVR and longitudinal VBM ROIs (z‐score) with the ß‐estimates from linear regressions accounting for age, sex, and diagnosis. We divided the [11C]PBR28‐PET levels into terciles (low, intermediate, and high) to generate the averages of longitudinal VBM changes. Result Baseline ROI‐based [11C]PBR28‐PET levels associate with longitudinal brain atrophy not only locally but also in distinct brain regions (Fig 1a). After FDR‐correction, the inferior temporal cortex was the region where [11C]PBR28‐PET levels were better associated with widespread longitudinal brain atrophy (Fig. 1b). Brain atrophy was observed in AD‐related regions, including the amygdala, insula, and the superior temporal cortex, independently of global amyloid load and tau (Fig. 1b). Accordingly, individuals with higher [11C]PBR28‐PET levels in the inferior temporal cortex presented increased longitudinal brain atrophy compared to individuals with lower [11C]PBR28‐PET (Fig. 1c). Conclusion We identified increased baseline [11C]PBR28‐PET levels in the inferior temporal cortex that were highly associated with longitudinal brain atrophy in individuals across the AD continuum. Our results demonstrated that higher levels of inflammation in key brain regions could predict widespread longitudinal brain atrophy, suggesting that microglial activation has a detrimental impact on AD‐related neurodegeneration progression.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.067
GPT teacher head0.293
Teacher spread0.225 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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