Evidence map›Paper›PMID 26855826›Full record

ArticleBrain and behavior2016

High-gamma power changes after cognitive intervention: preliminary results from twenty-one senior adult subjects.

Yoritaka Akimoto, Takayuki Nozawa, Akitake Kanno, Toshimune Kambara, Mizuki Ihara, Takeshi Ogawa, Takakuni Goto, Yasuyuki Taki, Ryoichi Yokoyama, Yuka Kotozaki and 12 more

Abstract read
In one paragraph

Article in Brain and behavior, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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

22 authors.

Yoritaka AkimotoDepartment of Functional Brain Imaging Institute of Development, Aging and Cancer Tohoku University Sendai 980-8575 Japan.
Takayuki NozawaSmart Ageing International Research Center Institute of Development, Aging and Cancer Tohoku University Sendai 980-8575 Japan.
Akitake KannoDepartment of Functional Brain Imaging Institute of Development, Aging and Cancer Tohoku University Sendai 980-8575 Japan.
Toshimune KambaraDepartment of Functional Brain Imaging Institute of Development, Aging and Cancer Tohoku University Sendai 980-8575 Japan; Japan Society for the Promotion of Science (JSPS) Tokyo 102-8472 Japan.
Mizuki IharaSmart Ageing International Research Center Institute of Development, Aging and Cancer Tohoku University Sendai 980-8575 Japan.
Takeshi OgawaDepartment of Functional Brain Imaging Institute of Development, Aging and Cancer Tohoku University Sendai 980-8575 Japan.
Takakuni GotoDepartment of Functional Brain Imaging Institute of Development, Aging and Cancer Tohoku University Sendai 980-8575 Japan.
Yasuyuki TakiDivision of Developmental Cognitive Neuroscience Institute of Development, Aging and Cancer Tohoku University Sendai 980-8575 Japan.
Ryoichi YokoyamaDepartment of Functional Brain Imaging Institute of Development, Aging and Cancer Tohoku University Sendai 980-8575 Japan.
Yuka KotozakiSmart Ageing International Research Center Institute of Development, Aging and Cancer Tohoku University Sendai 980-8575 Japan.
Rui NouchiSmart Ageing International Research Center Institute of Development, Aging and Cancer Tohoku University Sendai 980-8575 Japan; Human and Social Response Research Division International Research Institute of Disaster Science Tohoku University Sendai 980-8575 Japan.
Atsushi SekiguchiDepartment of Functional Brain Imaging Institute of Development, Aging and Cancer Tohoku University Sendai 980-8575 Japan; Division of Medical Neuroimage Analysis Department of Community Medical Supports Tohoku Medical Megabank Organization Tohoku University Sendai 980-8575 Japan; Department of Adult Mental Health National Institute of Mental Health National Center of Neurology and Psychiatry Kodaira 187-8553 Japan.
Hikaru TakeuchiDivision of Developmental Cognitive Neuroscience Institute of Development, Aging and Cancer Tohoku University Sendai 980-8575 Japan.
Carlos Makoto MiyauchiDepartment of Functional Brain Imaging Institute of Development, Aging and Cancer Tohoku University Sendai 980-8575 Japan.
Motoaki SugiuraDepartment of Functional Brain Imaging Institute of Development, Aging and Cancer Tohoku University Sendai 980-8575 Japan; Human and Social Response Research Division International Research Institute of Disaster Science Tohoku University Sendai 980-8575 Japan.
Eiichi OkumuraDepartment of Epileptology Tohoku University Graduate School of Medicine Sendai 980-8575 Japan.
Takashi SundaMobility Services Laboratory Research Division 2 Nissan Motor Co., Ltd. Kanagawa 243-0123 Japan.
Toshiyuki ShimizuMobility Services Laboratory Research Division 2 Nissan Motor Co., Ltd. Kanagawa 243-0123 Japan.
Eiji TozukaVehicle Test and Measurement Technology Development Department CAE and Testing Division 1 Nissan Motor Co., Ltd. Kanagawa 243-0192 Japan.
Satoru HiroseMobility Services Laboratory Research Division 2 Nissan Motor Co., Ltd. Kanagawa 243-0123 Japan.
Tatsuyoshi NanbuPrototype and Test Department Research Division 2 Nissan Motor Co., Ltd. Kanagawa 243-0123 Japan.
Ryuta KawashimaDepartment of Functional Brain Imaging Institute of Development, Aging and Cancer Tohoku University Sendai 980-8575 Japan; Smart Ageing International Research Center Institute of Development, Aging and Cancer Tohoku University Sendai 980-8575 Japan; Division of Developmental Cognitive Neuroscience Institute of Development, Aging and Cancer Tohoku University Sendai 980-8575 Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBrain-imaging techniques have begun to be popular in evaluating the effectiveness of cognitive intervention training. Although gamma activities are rarely used as an index of training effects, they have several characteristics that suggest their potential suitability for this purpose. This pilot study examined whether cognitive training in elderly people affected the high-gamma activity associated with attentional processing and whether high-gamma power changes were related to changes in behavioral performance.

methodsWe analyzed (MEG) magnetoencephalography data obtained from 35 healthy elderly subjects (60-75 years old) who had participated in our previous intervention study in which the subjects were randomly assigned to one of the three types of intervention groups: Group V trained in a vehicle with a newly developed onboard cognitive training program, Group P trained with a similar program but on a personal computer, and Group C was trained to solve a crossword puzzle as an active control group. High-gamma (52-100 Hz) activity during a three-stimulus visual oddball task was measured before and after training. As a result of exclusion in the MEG data analysis stage, the final sample consisted of five subjects in Group V, nine subjects in Group P, and seven subjects in Group C.

resultsResults showed that high-gamma activities were differently altered between groups after cognitive intervention. In particular, members of Group V, who showed significant improvements in cognitive function after training, exhibited increased high-gamma power in the left middle frontal gyrus during top-down anticipatory target processing. High-gamma power changes in this region were also associated with changes in behavioral performance.

conclusionsOur preliminary results suggest the usefulness of high-gamma activities as an index of the effectiveness of cognitive training in elderly subjects.

Indexed as

AgedAttentionBrainCognitionCognitive Behavioral TherapyFemaleFrontal LobeHumansMagnetoencephalographyMaleMiddle AgedNeuroimagingPilot ProjectsPrefrontal CortexBehavioral performancecognitive interventionelderlyhigh‐gamma activity

Identifiers

PMID26855826
PMCPMC4733105

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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.