Evidence map›Paper›PMID 26026581›Full record

ArticleJournal of neuroscience methods2015

Near-field electromagnetic holography for high-resolution analysis of network interactions in neuronal tissue.

Henrik D Kjeldsen, Marcus Kaiser, Miles A Whittington

Abstract read
In one paragraph

Article in Journal of neuroscience methods, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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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

1 citing paper in PubMed.

  1. Holography applications toward medical field: An overview.The Indian journal of radiology & imaging
    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

3 authors.

Henrik D KjeldsenUniversity of Newcastle, Institute of Neuroscience, Framlington Place, Newcastle upon Tyne NE2 4HH, UK; University of Newcastle, School of Computing Science, Interdisciplinary Computing and Complex BioSystems Research Group, Claremont Tower, Newcastle upon Tyne NE1 7RU, UK. Electronic address: hkjeldsen@gmail.com.
Marcus KaiserUniversity of Newcastle, School of Computing Science, Interdisciplinary Computing and Complex BioSystems Research Group, Claremont Tower, Newcastle upon Tyne NE1 7RU, UK. Electronic address: marcus.kaiser@newcastle.ac.uk.
Miles A WhittingtonUniversity of York, Hull York Medical School, York YO10 5DD, UK. Electronic address: miles.whittington@hyms.ac.uk.

Funding

Wellcome Trust 098352
6 · The paper itself

Abstract

backgroundBrain function is dependent upon the concerted, dynamical interactions between a great many neurons distributed over many cortical subregions. Current methods of quantifying such interactions are limited by consideration only of single direct or indirect measures of a subsample of all neuronal population activity. NEW

methodHere we present a new derivation of the electromagnetic analogy to near-field acoustic holography allowing high-resolution, vectored estimates of interactions between sources of electromagnetic activity that significantly improves this situation. In vitro voltage potential recordings were used to estimate pseudo-electromagnetic energy flow vector fields, current and energy source densities and energy dissipation in reconstruction planes at depth into the neural tissue parallel to the recording plane of the microelectrode array.

resultsThe properties of the reconstructed near-field estimate allowed both the utilization of super-resolution techniques to increase the imaging resolution beyond that of the microelectrode array, and facilitated a novel approach to estimating causal relationships between activity in neocortical subregions. COMPARISON WITH EXISTING

methodsThe holographic nature of the reconstruction method allowed significantly better estimation of the fine spatiotemporal detail of neuronal population activity, compared with interpolation alone, beyond the spatial resolution of the electrode arrays used. Pseudo-energy flow vector mapping was possible with high temporal precision, allowing a near-realtime estimate of causal interaction dynamics.

conclusionsBasic near-field electromagnetic holography provides a powerful means to increase spatial resolution from electrode array data with careful choice of spatial filters and distance to reconstruction plane. More detailed approaches may provide the ability to volumetrically reconstruct activity patterns on neuronal tissue, but the ability to extract vectored data with the method presented already permits the study of dynamic causal interactions without bias from any prior assumptions on anatomical connectivity.

Indexed as

Electromagnetic FieldsHolographyModels, NeurologicalAnimalsBrain MappingHumansNeuronsDynamic causal interactionsElectromagnetic fieldHolographyMicroelectrode array

Identifiers

PMID26026581
PMCPMC4550477

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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.