Evidence map›Paper›PMID 33192489›Full record

ArticleFrontiers in aging neuroscience2020

Aging Impacts the Overall Connectivity Strength of Regions Critical for Information Transfer Among Brain Networks.

Epifanio Bagarinao, Hirohisa Watanabe, Satoshi Maesawa, Daisuke Mori, Kazuhiro Hara, Kazuya Kawabata, Noritaka Yoneyama, Reiko Ohdake, Kazunori Imai, Michihito Masuda and 13 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 20 citations in OpenAlex.

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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

23 authors at 2 institutions in 1 country.

Epifanio BagarinaoBrain and Mind Research Center, Nagoya University, Nagoya, Japan.
Hirohisa WatanabeBrain and Mind Research Center, Nagoya University, Nagoya, Japan.
Satoshi MaesawaBrain and Mind Research Center, Nagoya University, Nagoya, Japan.
Daisuke MoriBrain and Mind Research Center, Nagoya University, Nagoya, Japan.
Kazuhiro HaraDepartment of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Kazuya KawabataDepartment of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Noritaka YoneyamaDepartment of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Reiko OhdakeDepartment of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Kazunori ImaiDepartment of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Michihito MasudaDepartment of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Takamasa YokoiDepartment of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Aya OguraDepartment of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Toshiaki TaokaDepartment of Radiology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Shuji KoyamaBrain and Mind Research Center, Nagoya University, Nagoya, Japan.
Hiroki C TanabeDepartment of Cognitive and Psychological Sciences, Graduate School of Informatics, Nagoya University, Nagoya, Japan.
Masahisa KatsunoDepartment of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Toshihiko WakabayashiDepartment of Neurosurgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Masafumi KuzuyaDepartment of Community Healthcare and Geriatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Minoru HoshiyamaBrain and Mind Research Center, Nagoya University, Nagoya, Japan.
Haruo IsodaBrain and Mind Research Center, Nagoya University, Nagoya, Japan.
Shinji NaganawaDepartment of Radiology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Norio OzakiBrain and Mind Research Center, Nagoya University, Nagoya, Japan.
Gen SobueBrain and Mind Research Center, Nagoya University, Nagoya, Japan.
Nagoya University · JPJapan Community Healthcare Organization · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies have demonstrated that connector hubs, regions considered critical for the flow of information across neural systems, are mostly involved in neurodegenerative dementia. Considering that aging can significantly affect the brain's intrinsic connectivity, identifying aging's impact on these regions' overall connection strength is important to differentiate changes associated with healthy aging from neurodegenerative disorders. Using resting state functional magnetic resonance imaging data from a carefully selected cohort of 175 healthy volunteers aging from 21 to 86 years old, we computed an intrinsic connectivity contrast (ICC) metric, which quantifies a region's overall connectivity strength, for whole brain, short-range, and long-range connections and examined age-related changes of this metric over the adult lifespan. We have identified a limited number of hub regions with ICC values that showed significant negative relationship with age. These include the medial precentral/midcingulate gyri and insula with both their short-range and long-range (and thus whole-brain) ICC values negatively associated with age, and the angular, middle frontal, and posterior cingulate gyri with their long-range ICC values mainly involved. Seed-based connectivity analyses further confirmed that these regions are connector hubs with connectivity profile that strongly overlapped with multiple large-scale brain networks. General cognitive performance was not associated with these hubs' ICC values. These findings suggest that even healthy aging could negatively impact the efficiency of regions critical for facilitating information transfer among different functional brain networks. The extent of the regions involved, however, was limited.

Indexed as

adult lifespanagingconnector hubsintrinsic connectivity contrastresting state fMRI

Identifiers

PMID33192489
PMCPMC7655963
OpenAlexW3095837022

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.