Evidence map›Paper›PMID 30351273›Full record

ArticleeLife2018

Analogue closed-loop optogenetic modulation of hippocampal pyramidal cells dissociates gamma frequency and amplitude.

Elizabeth Nicholson, Dmitry A Kuzmin, Marco Leite, Thomas E Akam, Dimitri Michael Kullmann

Abstract read
In one paragraph

Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Review
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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

5 authors.

Elizabeth Nicholson *UCL Institute of Neurology, University College London, London, United Kingdom.
Dmitry A Kuzmin *UCL Institute of Neurology, University College London, London, United Kingdom.
Marco LeiteUCL Institute of Neurology, University College London, London, United Kingdom.
Thomas E AkamChampalimaud Neuroscience Program, Champalimaud Center for the Unknown, Lisbon, Portugal.ORCID https://orcid.org/0000-0002-1810-0494
Dimitri Michael KullmannUCL Institute of Neurology, University College London, London, United Kingdom.ORCID http://orcid.org/0000-0001-6696-3545

Funding

Medical Research Council G116/147Medical Research Council MR/L01095X/1Wellcome 095580/Z/11/ZWellcome WT104033AIAWellcome Trust 095580/Z/11/ZWellcome Trust 212285/Z/18/ZWellcome Trust WT104033AIA
6 · The paper itself

Abstract

Gamma-band oscillations are implicated in modulation of attention, integration of sensory information and flexible communication among anatomically connected brain areas. How networks become entrained is incompletely understood. Specifically, it is unclear how the spectral and temporal characteristics of network oscillations can be altered on rapid timescales needed for efficient communication. We use closed-loop optogenetic modulation of principal cell excitability in mouse hippocampal slices to interrogate the dynamical properties of hippocampal oscillations. Gamma frequency and amplitude can be modulated bi-directionally, and dissociated, by phase-advancing or delaying optogenetic feedback to pyramidal cells. Closed-loop modulation alters the synchrony rather than average frequency of action potentials, in principle avoiding disruption of population rate-coding of information. Modulation of phasic excitatory currents in principal neurons is sufficient to manipulate oscillations, suggesting that feed-forward excitation of pyramidal cells has an important role in determining oscillatory dynamics and the ability of networks to couple with one another.

Indexed as

OptogeneticsAction PotentialsAnimalsGamma RhythmHippocampusMice, Inbred C57BLNeuronsPyramidal CellsTime Factorsclosed-loopgamma oscillationsmouseneurosciencephase response curve

Identifiers

PMID30351273
PMCPMC6219844

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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.