Evidence map›Paper›PMID 29379433›Full record

ArticleFrontiers in aging neuroscience2017

Ventricular and Periventricular Anomalies in the Aging and Cognitively Impaired Brain.

Krysti L Todd, Tessa Brighton, Emily S Norton, Samuel Schick, Wendy Elkins, Olga Pletnikova, Richard H Fortinsky, Juan C Troncoso, Peter J Molfese, Susan M Resnick and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 54 citations in OpenAlex.

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  8. Dissection of Neurotropic Theiler's Murine Encephalomyelitis Virus Induced Brain Atrophy in Single MHC Class I Mice of C57BL/6 Background.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
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  17. A deep neural network estimation of brain age is sensitive to cognitive impairment and decline.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 1 country.

Krysti L ToddDepartment of Physiology and Neurobiology, University of Connecticut, Storrs, CT, United States.
Tessa BrightonDepartment of Physiology and Neurobiology, University of Connecticut, Storrs, CT, United States.
Emily S NortonDepartment of Physiology and Neurobiology, University of Connecticut, Storrs, CT, United States.
Samuel SchickDepartment of Physiology and Neurobiology, University of Connecticut, Storrs, CT, United States.
Wendy ElkinsLaboratory of Behavioral Neuroscience, Intramural Research Program, National Institute on Aging, Baltimore, MD, United States.
Olga PletnikovaDepartment of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, United States.
Richard H FortinskyUConn Center on Aging, University of Connecticut School of Medicine, Farmington, CT, United States.
Juan C TroncosoDepartment of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, United States.
Peter J MolfeseDepartment of Psychological Sciences, University of Connecticut, Storrs, CT, United States.
Susan M ResnickLaboratory of Behavioral Neuroscience, Intramural Research Program, National Institute on Aging, Baltimore, MD, United States.
Joanne C ConoverDepartment of Physiology and Neurobiology, University of Connecticut, Storrs, CT, United States.
Alzheimer’s Disease Neuroimaging Initiative
University of Connecticut · USJohns Hopkins University · USNational Institute on Aging · USUConn Health · US

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
'T V ASSESSMENT - MEMORY DISORDERED PATIENTS'P50AG005146 · NIA · JOHNS HOPKINS UNIVERSITY · PI ALBERT, MARILYN S. · 1985 to 2019
$37.6M
Cellular and Molecular Interactions in the Aging SVZ NicheR01NS050338 · NINDS · UNIVERSITY OF CONNECTICUT STORRS · PI CONOVER, JOANNE C · 2007 to 2011
$1.5M
Stem Cell Generation of Transport Epithelia for the Brain's Ventricular SystemR21NS098091 · NINDS · UNIVERSITY OF CONNECTICUT STORRS · PI CONOVER, JOANNE C · 2016 to 2017
$425k
NIA NIH HHS P50 AG005146NIA NIH HHS U01 AG024904NINDS NIH HHS R01 NS050338NINDS NIH HHS R21 NS098091
6 · The paper itself

Abstract

Ventriculomegaly (expansion of the brain's fluid-filled ventricles), a condition commonly found in the aging brain, results in areas of gliosis where the ependymal cells are replaced with dense astrocytic patches. Loss of ependymal cells would compromise trans-ependymal bulk flow mechanisms required for clearance of proteins and metabolites from the brain parenchyma. However, little is known about the interplay between age-related ventricle expansion, the decline in ependymal integrity, altered periventricular fluid homeostasis, abnormal protein accumulation and cognitive impairment. In collaboration with the Baltimore Longitudinal Study of Aging (BLSA) and Alzheimer's Disease Neuroimaging Initiative (ADNI), we analyzed longitudinal structural magnetic resonance imaging (MRI) and subject-matched fluid-attenuated inversion recovery (FLAIR) MRI and periventricular biospecimens to map spatiotemporally the progression of ventricle expansion and associated periventricular edema and loss of transependymal exchange functions in healthy aging individuals and those with varying degrees of cognitive impairment. We found that the trajectory of ventricle expansion and periventricular edema progression correlated with degree of cognitive impairment in both speed and severity, and confirmed that areas of expansion showed ventricle surface gliosis accompanied by edema and periventricular accumulation of protein aggregates, suggesting impaired clearance mechanisms in these regions. These findings reveal pathophysiological outcomes associated with normal brain aging and cognitive impairment, and indicate that a multifactorial analysis is best suited to predict and monitor cognitive decline.

Indexed as

agingcognitive impairmentependymal cellsgliosisperiventricular edemaventriculomegaly

Identifiers

PMID29379433
PMCPMC5771258
OpenAlexW2783965071

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.