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Record W4307410696 · doi:10.1101/2022.10.25.513783

Gradual cerebral hypoperfusion in a knock-in mouse model of Alzheimer’s disease triggers cortical network dysfunctions

2022· preprint· en· W4307410696 on OpenAlexafffund
Surjeet Singh, Sean G. Lacoursiere, Jogender Mehla, Mojtaba Nazari, Robert J. Sutherland, Robert J. McDonald, Majid H. Mohajerani

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2022
Typepreprint
Languageen
FieldNeuroscience
TopicNeurological Disease Mechanisms and Treatments
Canadian institutionsUniversity of Lethbridge
FundersRIKENAlberta InnovatesNatural Sciences and Engineering Research Council of CanadaAlzheimer SocietyUniversity of Lethbridge
KeywordsNeurosciencePathologyHippocampal formationPsychologyPrecuneusCerebral cortexMorris water navigation taskCognitive declineMedicineCognitionDiseaseDementia

Abstract

fetched live from OpenAlex

Abstract Alzheimer’s disease (AD) is characterized neuropathologically by amyloid-β (Aβ) plaques and neurofibrillary tangles. Vascular pathology caused by chronic cerebral hypoperfusion (HP) is hypothesised to exacerbate AD pathology and has emerged as an increasing cause of age-related cognitive impairment. In this study we examined the effects of gradual cerebral HP on cognitive dysfunction, Aβ pathology, microgliosis, and cortical network dynamics in C57BL/6J mice and a single App knock-in mouse model of AD ( App NL-G-F ). We performed unilateral common carotid artery gradual occlusion (UCAgO) in two-month-old mice using an ameroid constrictor. At 4 months of age, animals were tested in a behavioral battery consisting of tests of spatial learning and memory (Morris water task), recognition memory (novel object recognition task), and motor coordination (balance beam). Following behavioural testing, in vivo mesoscale wide-field voltage imaging was done to assess cortical functional connectivity and sensory-evoked cortical activity, and brains were harvested for pathology characterization using immunohistochemistry. We found that UCAgO reduced cerebral blood flow (CBF) in the occluded hemisphere (OH), however, subtle behavioural deficits were observed due to HP. A dissociative effect of HP was observed in resting-state functional connectivity analysis, where HP led to hyper-connectivity in C57 mice and hypo-connectivity in App mice. Interestingly, sensory stimulation of limbs contralateral to OH revealed hyper-cortical activations in the non-occluded hemisphere of C57 HP mice, however, hypo-cortical activations were observed in App HP mice. Furthermore, we found that the UCAgO increased cortical and hippocampal microgliosis in both hemispheres of C57 and App mice, a bilateral increase in Aβ deposition was only observed in App mice. These results suggest that gradual cerebral HP leads to cortical network alterations in AD, which is partly mediated via activation of microglia.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.048
GPT teacher head0.249
Teacher spread0.200 · 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 designBench or experimental
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

Citations1
Published2022
Admission routes2
Has abstractyes

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