Evidence map›Paper›PMID 35264943›Full record

ArticleFrontiers in aging neuroscience2022

Low-Intensity Focused Ultrasound Stimulation Ameliorates Working Memory Dysfunctions in Vascular Dementia Rats

Faqi Wang, Qian Wang, Ling Wang, Jing Ren, Xizi Song, Yutao Tian, Chenguang Zheng, Jiajia Yang, Dong Ming

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 19 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

9 authors at 2 institutions in 1 country.

Faqi WangAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
Qian WangAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
Ling WangCollege of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China.
Jing RenAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
Xizi SongAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
Yutao TianAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
Chenguang ZhengCollege of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China.
Jiajia YangAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
Dong MingAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
Tianjin University · CNTianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Working memory impairment is one of the remarkable cognitive dysfunctions induced by vascular dementia (VD), and it is necessary to explore an effective treatment. Recently, low-intensity focused ultrasound stimulation (LIFUS) has been found notable neuroprotective effects on some neurological diseases, including VD. However, whether it could ameliorate VD-induced working memory impairment was still not been clarified. The purpose of this study was to address this issue and the underlying mechanism. We established VD rat model using the bilateral common carotid artery occlusion (BCCAO) and applied the LIFUS (center frequency = 0.5 MHz; I

Indexed as

cerebral blood flowlow intensity focused ultrasoundneuroinflammationsynaptic functionvascular dementiaworking memory

Identifiers

PMID35264943
PMCPMC8899543
OpenAlexW4212796087

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.