Evidence map›Paper›PMID 34880745›Full record

ReviewFrontiers in aging neuroscience2021

Characteristics of Neural Network Changes in Normal Aging and Early Dementia.

Hirohisa Watanabe, Epifanio Bagarinao, Satoshi Maesawa, Kazuhiro Hara, Kazuya Kawabata, Aya Ogura, Reiko Ohdake, Sayuri Shima, Yasuaki Mizutani, Akihiro Ueda and 3 more

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in aging neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Dementia and metabolic syndrome: a bibliometric analysis.Frontiers in aging neuroscience · 2024
    Article
  19. Review
  20. Review
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

13 authors at 2 institutions in 1 country.

Hirohisa WatanabeDepartment of Neurology, Fujita Health University, Toyoake, Japan.
Epifanio BagarinaoBrain and Mind Research Center, Nagoya University, Nagoya, Japan.
Satoshi MaesawaBrain 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.
Aya OguraDepartment of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Reiko OhdakeDepartment of Neurology, Fujita Health University, Toyoake, Japan.
Sayuri ShimaDepartment of Neurology, Fujita Health University, Toyoake, Japan.
Yasuaki MizutaniDepartment of Neurology, Fujita Health University, Toyoake, Japan.
Akihiro UedaDepartment of Neurology, Fujita Health University, Toyoake, Japan.
Mizuki ItoDepartment of Neurology, Fujita Health University, Toyoake, Japan.
Masahisa KatsunoDepartment of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Gen SobueBrain and Mind Research Center, Nagoya University, Nagoya, Japan.
Nagoya University · JPFujita Health University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To understand the mechanisms underlying preserved and impaired cognitive function in healthy aging and dementia, respectively, the spatial relationships of brain networks and mechanisms of their resilience should be understood. The hub regions of the brain, such as the multisensory integration and default mode networks, are critical for within- and between-network communication, remain well-preserved during aging, and play an essential role in compensatory processes. On the other hand, these brain hubs are the preferred sites for lesions in neurodegenerative dementias, such as Alzheimer's disease. Disrupted primary information processing networks, such as the auditory, visual, and sensorimotor networks, may lead to overactivity of the multisensory integration networks and accumulation of pathological proteins that cause dementia. At the cellular level, the brain hub regions contain many synapses and require a large amount of energy. These regions are rich in ATP-related gene expression and had high glucose metabolism as demonstrated on positron emission tomography (PET). Importantly, the number and function of mitochondria, which are the center of ATP production, decline by about 8% every 10 years. Dementia patients often have dysfunction of the ubiquitin-proteasome and autophagy-lysosome systems, which require large amounts of ATP. If there is low energy supply but the demand is high, the risk of disease can be high. Imbalance between energy supply and demand may cause accumulation of pathological proteins and play an important role in the development of dementia. This energy imbalance may explain why brain hub regions are vulnerable to damage in different dementias. Here, we review (1) the characteristics of gray matter network, white matter network, and resting state functional network changes related to resilience in healthy aging, (2) the mode of resting state functional network disruption in neurodegenerative dementia, and (3) the cellular mechanisms associated with the disruption.

Indexed as

aginganatomical networksdementiaenergy failureMRInetwork hubresting state network (RSN)

Identifiers

PMID34880745
PMCPMC8646086
OpenAlexW3217195903

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.