Evidence map›Paper›PMID 26942748›Full record

ArticleNeural computation2016

Effect of Reference Scheme on Power and Phase of the Local Field Potential.

Vinay Shirhatti, Ayon Borthakur, Supratim Ray

Abstract read
In one paragraph

Article in Neural computation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

  1. Field potential 1/Journal of neurophysiology · 2019
    Trial
  2. Article
  3. Article
  4. Article
  5. Review
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  7. Local Field Potentials in Movement Disorders: A Narrative Review.Stereotactic and functional neurosurgery · 2026
    Review
  8. Article
  9. Left Perisylvian Rhythms Encode Prosody and Syntax during Delayed Sentence Repetition.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  10. Article
  11. Article
  12. Article
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  15. Article
  16. Article
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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

3 authors.

Vinay ShirhattiCentre for Neuroscience, Indian Institute of Science, Bangalore, India, 560012 vinay@cns.iisc.ernet.in.
Ayon BorthakurCentre for Neuroscience, Indian Institute of Science, Bangalore, India, 560012 borthakur.ayon@gmail.com.
Supratim RayCentre for Neuroscience, Indian Institute of Science, Bangalore, India, 560012 sray@cns.iisc.ernet.in.

Funding

DBT-Wellcome Trust India Alliance 500145-Z-09-ZWellcome Trust
6 · The paper itself

Abstract

Brain signals are often analyzed in the spectral domain, where the power spectral density (PSD) and phase differences and consistency can reveal important information about the network. However, for proper interpretation, it is important to know whether these measures depend on stimulus/behavioral conditions or the reference scheme used to analyze data. We recorded local field potential (LFP) from an array of microelectrodes chronically implanted in area V1 of monkeys under different stimulus/behavioral conditions and computed PSD slopes, coherence, and phase difference between LFPs as a function of frequency and interelectrode distance while using four reference schemes: single wire, average, bipolar, and current source density. PSD slopes were dependent on reference scheme at low frequencies (below 200 Hz) but became invariant at higher frequencies. Average phase differences between sites also depended critically on referencing, switching from 0 degrees for single-wire to 180 degrees for average reference. Results were consistent across different stimulus/behavioral conditions. We were able to account for these results based on the coherence profile across sites and properties of the spectral estimator. Our results show that using different reference schemes can have drastic effects on phase differences and PSD slopes and therefore must be interpreted carefully to gain insights about network properties.

Indexed as

Electrodes, ImplantedMicroelectrodesAnimalsAttentionMacaca mulattaMaleSignal Processing, Computer-AssistedVisual CortexVisual Perception

Identifiers

PMID26942748
PMCPMC7117962

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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.