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Record W4287510330 · doi:10.1101/2022.07.24.501309

Early β-amyloid accumulation and hypoconnectivity in the default mode network are related to its disengagement from global brain activity

2022· preprint· en· W4287510330 on OpenAlexfundno aff
Feng Han, Xufu Liu, Richard B. Mailman, Xuemei Huang, Xiao Liu

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2022
Typepreprint
Languageen
FieldNeuroscience
TopicCerebrospinal fluid and hydrocephalus
Canadian institutionsnot available
FundersNational Institute of Biomedical Imaging and BioengineeringCanadian Institutes of Health ResearchNational Institutes of HealthGenentechIXICOH. Lundbeck A/SServierEisaiNorthern California Institute for Research and EducationF. Hoffmann-La RocheUniversity of Southern CaliforniaBiogenBioClinicaNovartis Pharmaceuticals CorporationPfizerEli Lilly and CompanyBristol-Myers SquibbU.S. Department of DefenseMeso Scale DiagnosticsNational Institute on AgingAlzheimer's AssociationFoundation for the National Institutes of Health
KeywordsDefault mode networkResting state fMRIPositron emission tomographyGlymphatic systemAlzheimer's Disease Neuroimaging InitiativeNeuroimagingPsychologyMagnetic resonance imagingNeuroscienceMedicineInternal medicineCerebrospinal fluidFunctional magnetic resonance imagingCognitionCognitive impairment

Abstract

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A bstract Importance The specific pattern/trajectory of β-amyloid (Aβ) pathology spreading in Alzheimer’s disease (AD), from default mode network (DMN) regions to sensory-motor areas, is well known, but poorly understood. Objective To determine if resting-state global brain activity is linked to early Aβ deposition in the DMN. Design This is a retrospect analysis of multi-modal and longitudinal data from the Alzheimer’s disease Neuroimaging Initiative (ADNI) cohort. Setting The ADNI was a multicenter project involving 63 research centers. Participants The study included 144 participants (72.6 ± 7.5 years; 73 females) of whom 28 were controls, 21 had significant memory concerns, 72 had cognitive impairment ( N =72), and 23 had AD. There were both baseline and 2-year follow-up data for Aβ-PET for 112 of the subjects. They were classified into following stages based on the CSF Aβ42 (CSF+: < 192 ng/L ) and cortical Aβ (PET+: > 0 . 872 SUVR ) levels: non-Aβ-accumulators (CSF-/PET-); early-Aβ-accumulators (CSF+/PET-); and late-Aβ-accumulators (CSF+/PET+). Exposure Resting-state brain activity was assessed by functional magnetic resonance imaging (rsfMRI), whereas glymphatic function was estimated by the coupling between fMRI blood-oxygen-level-dependent (BOLD) signals and CSF movements. Main Outcomes and Measures Cortical Aβ accumulation measured by 18 F-AV45 amyloid-positron emission tomography (PET), CSF Aβ42, and total and phosphorylated tau protein levels in all participants. Results Glymphatic function assessed by fMRI was strongly (ρ > 0.43, P < 0.042) associated with various markers of protein aggregation in early Aβ accumulators in whom Aβ just begins to accumulate cortically in the DMN. Among these early accumulators, the preferential Aβ accumulation in the DMN regions in the subsequent two years was correlated with lower gBOLD signal (ρ = 0.51, P = 0.027) and lower local glymphatic function (ρ = 0.48, P = 0.041) in the same regions at baseline. Conclusions and Relevance Resting-state global brain activity and related glymphatic function are linked to Aβ pathology, particularly its preferential deposition in the DMN at the earliest AD stages. This suggests potential novel early therapeutic directions that might provide disease modification. K ey P oints Question Why does the β-amyloid (Aβ) plaque deposit preferentially in the default mode network (DMN) regions at early preclinical stages of Alzheimer’s disease? Findings In this analytic observational cohort study with 144 subjects, we found that the preferential reduction of global resting-state brain activity in the DMN, as well as its coupling with cerebrospinal fluid movement, was significantly correlated with the preferential Aβ accumulation in these DMN regions among 19 subjects with early Aβ accumulation. Meaning Resting-state global brain activity plays a role in the early Aβ accumulation in the DMN, presumably due to its involvement in glymphatic clearance.

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)0.000
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.034
GPT teacher head0.282
Teacher spread0.248 · 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".

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Citations4
Published2022
Admission routes1
Has abstractyes

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