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Spontaneous low frequency BOLD signal variations from resting-state fMRI are decreased in Alzheimer disease

2017· article· en· 28 citations· W2623947429 on OpenAlex· 10.1371/journal.pone.0178529

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A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.
Canadian funderA Canadian agency funded it. The work may carry no Canadian affiliation at all.

The three-model screen

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All three models called this out of scope.

stratum: aff_core · design weight: 5595.24 (the sample is stratified; any rate computed without the weight is wrong)
Claude Opus 4.8OUT
genre: empirical
about Canada: no
confidence: high

Resting-state fMRI study of Alzheimer disease; domain neuroscience.

GPT-5.6 (high)OUT
genre: empirical
about Canada: no
confidence: high

This study develops an imaging measure of Alzheimer disease activity, not a study of research methods themselves.

Grok 4.5OUT
genre: empirical
about Canada: no
confidence: high

Alzheimer neuroimaging study of BOLD signal variation, domain clinical neuroscience.

Abstract

Previous studies have demonstrated altered brain activity in Alzheimer's disease using task based functional MRI (fMRI), network based resting-state fMRI, and glucose metabolism from 18F fluorodeoxyglucose-PET (FDG-PET). Our goal was to define a novel indicator of neuronal activity based on a first-order textural feature of the resting state functional MRI (RS-fMRI) signal. Furthermore, we examined the association between this neuronal activity metric and glucose metabolism from 18F FDG-PET. We studied 15 normal elderly controls (NEC) and 15 probable Alzheimer disease (AD) subjects from the AD Neuroimaging Initiative. An independent component analysis was applied to the RS-fMRI, followed by template matching to identify neuronal components (NC). A regional brain activity measurement was constructed based on the variation of the RS-fMRI signal of these NC. The standardized glucose uptake values of several brain regions relative to the cerebellum (SUVR) were measured from partial volume corrected FDG-PET images. Comparing the AD and NEC groups, the mean brain activity metric was significantly lower in the accumbens, while the glucose SUVR was significantly lower in the amygdala and hippocampus. The RS-fMRI brain activity metric was positively correlated with cognitive measures and amyloid β1-42 cerebral spinal fluid levels; however, these did not remain significant following Bonferroni correction. There was a significant linear correlation between the brain activity metric and the glucose SUVR measurements. This proof of concept study demonstrates that this novel and easy to implement RS-fMRI brain activity metric can differentiate a group of healthy elderly controls from a group of people with AD.

Stored with the screening record, where it is evidence for the labels above.

The record

Venue
PLoS ONE
Topic
Functional Brain Connectivity Studies
Field
Neuroscience
Canadian institutions
Lawson Health Research InstituteWestern University
Funders
National Institute of Biomedical Imaging and BioengineeringCanadian Institutes of Health ResearchGenentechNational Institutes of HealthServierEisaiUniversity of California, San DiegoBioClinicaU.S. Department of DefenseAlzheimer's Disease Neuroimaging InitiativeNorthern California Institute for Research and EducationF. Hoffmann-La RocheUniversity of Southern CaliforniaBiogenEli Lilly and CompanyBristol-Myers SquibbNational Institute on AgingAlzheimer's AssociationFoundation for the National Institutes of Health
Keywords
Resting state fMRINeuroscienceBrain activity and meditationNeuroimagingPositron emission tomographyAlzheimer's diseasePremovement neuronal activityPutamenHuman brainMedicineHippocampusPsychologyInternal medicineElectroencephalographyDisease
Has abstract in OpenAlex
yes