Evidence map›Paper›PMID 33132892›Full record

ArticleFrontiers in aging neuroscience2020

Enhancing Working Memory Based on Mismatch Negativity Neurofeedback in Subjective Cognitive Decline Patients: A Preliminary Study.

Guangying Pei, Ruoshui Yang, Zhongyan Shi, Guoxin Guo, Shujie Wang, Miaomiao Liu, Yuxiang Qiu, Jinglong Wu, Ritsu Go, Ying Han and 1 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

7 citing papers in PubMed, 11 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

11 authors at 3 institutions in 2 countries.

Guangying PeiSchool of Life Science, Beijing Institute of Technology, Beijing, China.
Ruoshui YangSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China.
Zhongyan ShiSchool of Life Science, Beijing Institute of Technology, Beijing, China.
Guoxin GuoSchool of Life Science, Beijing Institute of Technology, Beijing, China.
Shujie WangSchool of Life Science, Beijing Institute of Technology, Beijing, China.
Miaomiao LiuGraduate School of Natural Science and Technology, Okayama University, Okayama, Japan.
Yuxiang QiuSchool of Life Science, Beijing Institute of Technology, Beijing, China.
Jinglong WuSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China.
Ritsu GoSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China.
Ying HanDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Tianyi YanSchool of Life Science, Beijing Institute of Technology, Beijing, China.
Beijing Institute of Technology · CNOkayama University · JPChinese Institute for Brain Research · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mismatch negativity (MMN) is suitable for studies of preattentive auditory discriminability and the auditory memory trace. Subjective cognitive decline (SCD) is an ideal target for early therapeutic intervention because SCD occurs at preclinical stages many years before the onset of Alzheimer's disease (AD). According to a novel lifespan-based model of dementia risk, hearing loss is considered the greatest potentially modifiable risk factor of dementia among nine health and lifestyle factors, and hearing impairment is associated with cognitive decline. Therefore, we propose a neurofeedback training based on MMN, which is an objective index of auditory discriminability, to regulate sensory ability and memory as a non-pharmacological intervention (NPI) in SCD patients. Seventeen subjects meeting the standardized clinical evaluations for SCD received neurofeedback training. The auditory frequency discrimination test, the visual digital N-back (1-, 2-, and 3-back), auditory digital N-back (1-, 2-, and 3-back), and auditory tone N-back (1-, 2-, and 3-back) tasks were used pre- and post-training in all SCD patients. The intervention schedule comprised five 60-min training sessions over 2 weeks. The results indicate that the subjects who received neurofeedback training had successfully improved the amplitude of MMN at the parietal electrode (Pz). A slight decrease in the threshold of auditory frequency discrimination was observed after neurofeedback training. Notably, after neurofeedback training, the working memory (WM) performance was significantly enhanced in the auditory tone 3-back test. Moreover, improvements in the accuracy of all WM tests relative to the baseline were observed, although the changes were not significant. To the best of our knowledge, our preliminary study is the first to investigate the effects of MMN neurofeedback training on WM in SCD patients, and our results suggest that MMN neurofeedback may represent an effective treatment for intervention in SCD patients and the elderly with aging memory decline.

Indexed as

Alzheimer’s diseaseearly interventionmismatch negativityneurofeedbacksubjective cognitive declineworking memory

Identifiers

PMID33132892
PMCPMC7550626
OpenAlexW3090968306

What OpenQuestion holds

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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.