Evidence map›Paper›PMID 33398837›Full record

ArticleAdvances in experimental medicine and biology2021

Multimodal Functional Analysis Platform: 4. Optogenetics-Induced Oscillatory Activation to Explore Neural Circuits.

Hajime Mushiake, Tomokazu Ohshiro, Shin-Ichiro Osawa, Ryosuke Hosaka, Norihiro Katayama, Tetsu Tanaka, Hiromu Yawo, Makoto Osanai

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In one paragraph

Article in Advances in experimental medicine and biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 4 institutions in 1 country.

Hajime MushiakeDepartment of Physiology, Tohoku University Graduate School of Medicine, Sendai, Japan. hmushiak@med.tohoku.ac.jp.
Tomokazu OhshiroDepartment of Physiology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Shin-Ichiro OsawaDepartment of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Ryosuke HosakaDepartment of Applied mathematics, Fukuoka University, Fukuoka, Japan.
Norihiro KatayamaDepartment of Applied Information Sciences, Graduate School of Information Sciences, Tohoku University, Sendai, Japan.
Tetsu TanakaGraduate School of Biomedical Engineering, Tohoku University, Sendai, Japan.
Hiromu YawoInstitute for Solid State Physics (ISSP), The University of Tokyo, Kashiwa, Japan.
Makoto OsanaiDepartment of Physiology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Tohoku University · JPFukuoka University · JPOsaka University · JPThe University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To elucidate neural mechanisms underlying oscillatory phenomena in brain function, we have developed optogenetic tools and statistical methods. Specifically, opto-current-clamp induced oscillation reveals intrinsic frequency preferences in the neural circuits by oscillatory resonance. Furthermore, resonance or entrainment to intrinsic frequency is state-dependent. When resonance phenomena go beyond a certain range, it could even induce epileptic seizure in highly reproducible manner. We are able to study how seizures start, develop, and stop in neural circuits. Therefore, the optogenetics-induced oscillatory activation is a powerful tool in neuroscience research.

Indexed as

EpilepsyOptogeneticsHumansSeizuresBarrel cortexEntrainmentHippocampusOpto-current clampResonanceSeizure

Identifiers

PMID33398837
OpenAlexW3118833083

What OpenQuestion holds

Textmetadata
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.