Evidence map›Paper›PMID 27063501›Full record

ArticleJournal of neuroscience methods2016

A novel method for classifying cortical state to identify the accompanying changes in cerebral hemodynamics.

R Slack, L Boorman, P Patel, S Harris, M Bruyns-Haylett, A Kennerley, M Jones, J Berwick

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Article in Journal of neuroscience methods, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing 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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Impact of Altered Cholinergic Tones on the Neurovascular Coupling Response to Whisker Stimulation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017
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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

R SlackDepartment of Psychology, University of Sheffield, Western Bank, Sheffield S10 2TN, United Kingdom. Electronic address: reslack1@sheffield.ac.uk.
L BoormanDepartment of Psychology, University of Sheffield, Western Bank, Sheffield S10 2TN, United Kingdom. Electronic address: l.boorman@sheffield.ac.uk.
P PatelDepartment of Psychology, University of Sheffield, Western Bank, Sheffield S10 2TN, United Kingdom. Electronic address: p.patel@sheffield.ac.uk.
S HarrisDepartment of Psychology, University of Sheffield, Western Bank, Sheffield S10 2TN, United Kingdom. Electronic address: s.harris@sheffield.ac.uk.
M Bruyns-HaylettDepartment of Systems Engineering, University of Reading, Whiteknights, Reading RG6 6AY, United Kingdom. Electronic address: m.bruyns-haylett@reading.ac.uk.
A KennerleyDepartment of Psychology, University of Sheffield, Western Bank, Sheffield S10 2TN, United Kingdom. Electronic address: a.j.kennerley@sheffield.ac.uk.
M JonesDepartment of Psychology, University of Sheffield, Western Bank, Sheffield S10 2TN, United Kingdom. Electronic address: m.jones@sheffield.ac.uk.
J BerwickDepartment of Psychology, University of Sheffield, Western Bank, Sheffield S10 2TN, United Kingdom. Electronic address: j.berwick@sheffield.ac.uk.

Funding

Medical Research Council MR/M013553/1
6 · The paper itself

Abstract

backgroundMany brain imaging techniques interpret the haemodynamic response as an indirect indicator of underlying neural activity. However, a challenge when interpreting this blood based signal is how changes in brain state may affect both baseline and stimulus evoked haemodynamics. NEW

methodWe developed an Automatic Brain State Classifier (ABSC), validated on data from anaesthetised rodents. It uses vectorised information obtained from the windowed spectral frequency power of the Local Field Potential. Current state is then classified by comparing this vectorised information against that calculated from state specific training datasets.

resultsThe ABSC identified two user defined brain states (synchronised and desynchronised), with high accuracy (∼90%). Baseline haemodynamics were found to be significantly different in the two identified states. During state defined periods of elevated baseline haemodynamics we found significant decreases in evoked haemodynamic responses to somatosensory stimuli. COMPARISON TO EXISTING

methodsState classification - The ABSC (∼90%) demonstrated greater accuracy than clustering (∼66%) or 'power threshold' (∼64%) methods of comparison. Haemodynamic averaging - Our novel approach of selectively averaging stimulus evoked haemodynamic trials by brain state yields higher quality data than creating a single average from all trials.

conclusionsThe ABSC can account for some of the commonly observed trial-to-trial variability in haemodynamic responses which arises from changes in cortical state. This variability might otherwise be incorrectly attributed to alternative interpretations. A greater understanding of the effects of cortical state on haemodynamic changes could be used to inform techniques such as general linear modelling (GLM), commonly used in fMRI.

Indexed as

AnimalsFemaleHemodynamicsMicroelectrodesNeurovascular CouplingOptical ImagingOxygenPattern Recognition, AutomatedRatsSomatosensory CortexSpectrum AnalysisOxygenBrain state classificationHemodynamicsNeurovascular coupling

Identifiers

PMID27063501
PMCPMC4896992

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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.