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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 65 out of 100. Brain scans and imaging

Topic: Amyloid, tau and blood-test diagnosis

Objective To investigate the influence of microglial activation in the early stages of Alzheimer's disease trajectory, we assessed the relationship between microglial activation and gray matter volume and hippocampal volume in patients with mild cognitive impairment (MCI). Methods In this study, 55 participants (37 with early stages of MCI and 18 controls) underwent [ 11 C]PBR28 PET, a marker of microglial activation; volumetric MRI to evaluate gray matter and hippocampal volumes as well as clinical and neuropsychometric evaluation. [ 11 C]PBR28 V T (volume of distribution) was calculated using arterial input function and Logan graphical analysis. Gray matter volume and hippocampal volumes were calculated from MRI for each participant. Statistical parametric mapping software was used to perform voxel-wise correlations and biological parametric mapping analysis. Amyloid status was assessed using [ 18 F]flutemetamol PET. Results Higher [ 11 C]PBR28 V T in different cortical areas correlated with higher gray matter volume in both amyloid-positive and -negative MCI. In addition, higher hippocampal volume correlated with higher cortical [ 11 C]PBR28 Logan V T . Conclusions In this in vivo study, we have demonstrated that microglial activation quantified using [ 11 C]PBR28 PET was associated with higher gray matter volume and higher hippocampal volume in patients with MCI. This might suggest that microglial activation may not always be associated with neuronal damage, and indeed it may have a beneficial effect in the early stages of the Alzheimer trajectory. While further longitudinal studies are necessary, these findings have significant implications on therapeutic strategies targeting microglial activation.

Key findings

Why it matters

In patients with mild cognitive impairment, higher microglial activation measured by PET correlated with higher gray matter volume and higher hippocampal volume in both amyloid-positive and amyloid-negative cases. This suggests microglial activation may not always be associated with neuronal damage and may have a beneficial effect.

Study details

How this study scored 65/100
How this study's score is builtJournal tier 9 of 10; Journal's citation record 4 of 4; Study design 7 of 12; Strength of evidence 3 of 5; Peer-review validation 10 of 10; How recent 2 of 5; Sample size 1 of 4; Effect reported 0 of 3; Studied in people 3 of 3; Randomised / blinded 0 of 2; Times cited 5 of 7; Citations per year 3 of 5; Impact for its field and year 3 of 6; Cited by studies here 2 of 6; Still being cited 2 of 4; Senior author's track record 3 of 4; Institution's track record 2 of 3; Multi-centre collaboration 2 of 3; Indexed in PubMed 2 of 2; Free to read 2 of 2. Total 65 of 100.65 of 100 points earned35 not earned

Published in a leading specialty journal, and it is a longitudinal study following the same people over time. Scored zero for effect reported and randomised / blinded because the record does not state it.

ComponentPointsWhy
Journal tier 9 / 10 Tier 2 — leading specialty journal (Neurology)
Journal's citation record 4 / 4 Neurology: journal h-index 525 (OpenAlex, 2026-10-29)
Study design 7 / 12 A longitudinal study following the same people over time
Strength of evidence 3 / 5 Rated “moderate” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 2 / 5 2019 — within 10 year(s) of the newest study here
Sample size 1 / 4 55 participants
Effect reported 0 / 3 No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people 3 / 3 Studied in people (participant count stated)
Randomised / blinded 0 / 2 No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 5 / 7 Cited 107 times (OpenAlex, 2026-10-10)
Citations per year 3 / 5 11.9 citations a year over 9 year(s) since 2019
Impact for its field and year 3 / 6 Cited 5.0× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 2 / 6 Cited by 7 other studies in this library
Still being cited 2 / 4 Cited 43 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 3 / 4 Last-listed author Paul Edison: h-index 53 (OpenAlex, whole career)
Institution's track record 2 / 3 Imperial College London: institution h-index 1,744 (OpenAlex)
Multi-centre collaboration 2 / 3 OpenAlex lists 4 institution(s) in 2 countries
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 30796139)
Free to read 2 / 2 Free to read
Total 65 / 100 —

What each of these 20 components measures, and what this score is not →

Read the original

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Cite this study APA, Vancouver, BibTeX · download .bib or .ris

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.

APA 7th

Femminella, G. D., Dani, M., Wood, M., Fan, Z., Calsolaro, V., Atkinson, R., et al. (2019). Microglial activation in early Alzheimer trajectory is associated with higher gray matter volume. Neurology. https://doi.org/10.1212/wnl.0000000000007133

Vancouver

Femminella GD, Dani M, Wood M, Fan Z, Calsolaro V, Atkinson R, et al. Microglial activation in early Alzheimer trajectory is associated with higher gray matter volume. Neurology. 2019. doi:10.1212/wnl.0000000000007133. PMID: 30796139.

BibTeX

@article{femminella2019-30796139,
  author  = {Femminella, G. D. and Dani, M. and Wood, M. and Fan, Z. and Calsolaro, V. and Atkinson, R. and Edginton, T. and Hinz, R. and others},
  title   = {{Microglial activation in early Alzheimer trajectory is associated with higher gray matter volume}},
  journal = {Neurology},
  year    = {2019},
  doi     = {10.1212/wnl.0000000000007133},
  pmid    = {30796139},
  url     = {https://doi.org/10.1212/wnl.0000000000007133}
}

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