Skip to main content

Main menu

  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Blog
    • Collections
    • Podcast
  • TOPICS
    • Cognition and Behavior
    • Development
    • Disorders of the Nervous System
    • History, Teaching and Public Awareness
    • Integrative Systems
    • Neuronal Excitability
    • Novel Tools and Methods
    • Sensory and Motor Systems
  • ALERTS
  • FOR AUTHORS
  • ABOUT
    • Overview
    • Editorial Board
    • For the Media
    • Privacy Policy
    • Contact Us
    • Feedback
  • SUBMIT

User menu

Search

  • Advanced search
eNeuro
eNeuro

Advanced Search

 

  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Blog
    • Collections
    • Podcast
  • TOPICS
    • Cognition and Behavior
    • Development
    • Disorders of the Nervous System
    • History, Teaching and Public Awareness
    • Integrative Systems
    • Neuronal Excitability
    • Novel Tools and Methods
    • Sensory and Motor Systems
  • ALERTS
  • FOR AUTHORS
  • ABOUT
    • Overview
    • Editorial Board
    • For the Media
    • Privacy Policy
    • Contact Us
    • Feedback
  • SUBMIT
PreviousNext
Research ArticleNew Research, Cognition and Behavior

Local Versus Global Effects of Isoflurane Anesthesia on Visual Processing in the Fly Brain

Dror Cohen, Oressia H. Zalucki, Bruno van Swinderen and Naotsugu Tsuchiya
eNeuro 13 July 2016, 3 (4) ENEURO.0116-16.2016; https://doi.org/10.1523/ENEURO.0116-16.2016
Dror Cohen
1School of Psychological Sciences, Monash University, Melbourne 3168, Victoria, Australia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Dror Cohen
Oressia H. Zalucki
2Queensland Brain Institute, The University of Queensland, Brisbane 4072, Queensland, Australia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Oressia H. Zalucki
Bruno van Swinderen
2Queensland Brain Institute, The University of Queensland, Brisbane 4072, Queensland, Australia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Naotsugu Tsuchiya
1School of Psychological Sciences, Monash University, Melbourne 3168, Victoria, Australia
3Monash Institute of Cognitive and Clinical Neuroscience, Monash University, Melbourne 3168, Victoria, Australia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Naotsugu Tsuchiya
  • Article
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Figure 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1.

    Experimental procedure and paradigm. a, Experimental setup. Flies were dorsally fixed to a tungsten rod and placed on an air-supported ball, where they could freely walk. Flickering stimuli at 13 or 17 Hz were presented through two LED screens to the left and right. Isoflurane in different volumetric concentrations was delivered through a rubber hose. An air puff was used as a startle stimulus to gauge the responsiveness of the flies. A 16-contact electrode probe mounted on an electrode holder was inserted laterally from the left. Only the electrode holder is visible at the depicted scale. b, A close-up view contralateral to the insertion site showing the fly, isoflurane delivery hose, and probe base. c, Example of spontaneous (no presentation of visual stimuli), bipolar rereferenced data before anesthesia (0% isoflurane) from a half-brain probe recording (see Electrode probe insertion). A standardized fly brain is shown for comparison (Paulk et al., 2013, 2015). The electrode contacts are indicated by white dots (not to scale). Channels are grouped as peripheral, estimated to correspond to the optic lobe, and central, estimated to correspond to the central brain.

  • Figure 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 2.

    SSVEP recordings before anesthesia (0% isoflurane). a, Schema of an experiment showing the electrode inserted laterally from the left. The left LED panel is shown flickering at 13 Hz, corresponding to the [13 off] flicker configuration. b, Exemplar mean bipolar rereferenced SSVEP, averaged over 10 trials in the [13 off] condition. The same data from one fly are presented in c and d in different formats. c, Exemplar baseline-corrected SSVEP power spectrum, averaged over the same 10 trials in b (SEB(f); see Local field potential analysis). The blue and the red lines mark the first (f1 = 13 Hz) and second (f2 = 26 Hz) harmonic, respectively. d, Baseline-corrected SSVEP power at f1 (blue) and f2 (red) for the 10 trials of the [13 off] condition (SEB(f1/2)). Note that the narrow shaded areas represent the SD across 10 trials, showing the robust and repeatable nature of the SSVEP paradigm. The grouping into peripheral and central channels is depicted at the bottom. The channels are consistently aligned on the x-axis, b–d.

  • Figure 3.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 3.

    Baseline-corrected SSVEP power (SEB) and coherence (CEB) before anesthesia (0% isoflurane). a, b, Grouping trials according to ipsilateral and contralateral flicker configurations. A trial consisted of a presentation of one of the following eight flicker configurations: [off 13], [off 17], [13 off], [17 off], [13 13], [13 17], [17 13], and [17 17]. Trials were classified as either ipsilateral or contralateral according to the location of the flicker, with respect to electrode insertion site. a, When analyzing SSVEP power at f1 = 13 Hz or f2 = 26 Hz, trials in which a single flicker was shown ([13 0] and [0 13], row 1) were classified according to the location of the flicker. Trials in which different flickers are shown at each panel ([13 17], [17 13], row 2) are classified according to the location of the 13 Hz flicker. Trials in which both panels show the same flicker ([13 13], row 3) are classified as ipsilateral, as this component dominated the response (see c–f). Trials in which only a 17 Hz flicker is shown ([17 0], [0 17], and [17 17]) are excluded from the grouping. b, Corresponding classification scheme when analyzing SSVEP power at f1 = 17 Hz or f2 = 34 Hz. c–f, Group average (N = 13) baseline-corrected SSVEP power (SEB; see Local field potential analysis) for f1 = 13 (c), f1 = 17 (d), f2 = 26 (e), and f2 = 34 (f) Hz for each of the eight flicker configurations. Grouping flicker configurations as ipsilateral or contralateral accounted for much of the variance, as indicated by the color code (see legend). Error bars represent the SEM across flies (N = 13). g, Group average (N = 13) baseline-corrected SSVEP power at f1 and f2 for ipsilateral and contralateral flicker configurations. Shaded area represents the SEM across flies. h, Group average (N = 13) baseline-corrected SSVEP coherence (CEB) for P, CP, and C channel pairs. Schematics of the fly brain with superimposed examples of channel pairs from each grouping are shown at the bottom. SSVEP coherence followed a similar trend to SSVEP power: higher coherence at f1 than f2 and a decrease toward the center. Contralateral flickers evoked coherence predominantly at f1. Error bars represent SEM across flies (N = 13).

  • Figure 4.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 4.

    Isoflurane anesthesia has region- and harmonic-dependent effects on SSVEP power. a, Experimental protocol. An experiment consisted of multiple blocks, each at a different concentration of isoflurane (top black line). Each block proceeded with (1) air puffs (light blue rectangles); (2) 30 s of rest; (3) 80 trials of flicker presentation, corresponding to 10 presentations for each of the eight flicker configurations (gray rectangles); (4) 30 s of rest; (5) air puff; (6) isoflurane concentration change; and (7) 180 s of rest for adjustment to the new isoflurane concentration. b, Isoflurane abolishes behavioral responses. Consecutive video frames (first and second row) in response to an air puff before any anesthesia was administered (0%, left column) and before 0.6% isoflurane exposure (right column). In 0% isoflurane, flies respond to the air puff by moving, which is seen as the large difference in pixel intensity between consecutive frames (left, third row). After 0.6% isoflurane exposure, flies do not respond to the air puff, and there are only small differences between consecutive frames (right, third row). c, Quantifying behavioral responses. Group average (N = 13) movement index (see Movement analysis) was reduced during exposure to 0.6% isoflurane and rebounded after isoflurane levels were reset to 0%. Error bars represent the SEM across flies. d, Isoflurane reduces spontaneous brain activity (ΔSs), measured over four segments of 2.3 s before the start of the presentation of the visual stimuli. Group average (N = 13) effect of 0.6% isoflurane on spontaneous power (ΔS0.6S; see Local field potential analysis). Power is averaged across all channels. The average power for 20–30 and 80–90 Hz is significantly reduced. Error bars represent the SEM across flies. e, Isoflurane reduces SSVEP power (ΔSE) at f1 but increases power at f2 in a concentration-dependent manner. SSVEP power at f1 = 13 Hz (blue) and f2 = 26 Hz (red) for the [13 off] flicker configuration (indicated by the schematic above), at increasing concentrations of isoflurane. For each fly, the SSVEP is first averaged over peripheral channels (triangles, channels 1–6) or central channels (circles, channels 9–14). The channel average is further averaged across flies (N = 3). Error bars reflect the SEM across flies. f, Isoflurane increases SSVEP power at f2 for ipsilateral but not for contralateral flicker configurations. Spatial profile of SSVEP power at f1 (blue) and f2 (red) for contralateral (dark) and ipsilateral (light) flicker configurations in 0.6% isoflurane (ΔS0.6E). SSVEP power is averaged across ipsilateral or contralateral flicker configurations (Fig. 3a,b) first, then is averaged across flies (N = 13). Shaded areas represent the SEM across flies. The SSVEP power at f1 is reduced in central channels for all flicker configurations, indicating an effect on global neural processing. In contrast, SSVEP power at f2 is increased at the periphery, but only for ipsilateral flicker configurations, indicating an effect on local neural processing. The peripheral and central channels over which the average was taken in e are depicted at the bottom of f. ***p < 0.001 and **p < 0.01 in c and d.

  • Figure 5.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 5.

    A minimal model explains the unexpected increase in SSVEP power at f2 due to isoflurane. a, Modeling the SSVEPs. The input (depicted as a blue square wave) is (linearly) differentiated to extract points of luminance increments and decrements before splitting into two streams corresponding to the On (pink) and Off (orange) pathways. Each pathway is modeled as a linear operation determined by the impulse response of the pathway. The responses of the two pathways are summed to give the recorded SSVEP. b, The impulse responses of the On and Off pathways were estimated from the response to a 1 Hz flickering stimulus (blue). An example from one channel is shown. No other parameters are fitted from the data. c, Exemplar On (pink) and Off (orange) impulse responses obtained from the 1 Hz flicker presented in both panels [1 1] in 0% isoflurane (air). Note that the negative of the On impulse response (gray) is not identical to the Off impulse response. d, The power spectra of the model output. When the negative of the On impulse response is the same as the Off impulse response, there is no power at f2 (gray). When the empirical On and Off impulse responses are used, the power spectrum has a sharp peak at f2 (black). e, Comparison between the model output (black) and the recorded SSVEP (blue, average across 10 trials) to a [13 0] stimulus in 0% (left) and 0.6% isoflurane (right) in the time domain. An example from one channel is shown. f, Corresponding comparison to e in the frequency domain. Spectra of model output (left) and recorded data (right, averaged across 10 trials of the [13 0] flicker configuration) in 0% (green) and 0.6% (blue) isoflurane show that the model correctly predicts that isoflurane increases SSVEP power at f2. g, The SSVEP model predictions are in excellent agreement with the observed effects of isoflurane. The model correctly predicts the reduction in power at f1 (blue) and the increase in power at f2 (red) for each of three flies (marked by a cross, square, or asterisk), across all channels (14) and both flicker configuration ([13 13] or [17 17]; n = 168, ρ = 0.76). The empirical line of best fit (dashed black) closely resembles the line of perfect fit (solid black).

  • Figure 6.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 6.

    A minimal model based on the SNRs of SSVEP power explains the effects of isoflurane on SSVEP coherence. a, Group average (N = 13) of the observed effects of anesthesia on SSVEP coherence (ΔCE). Isoflurane decreases SSVEP coherence at f1 (blue) and increases coherence at f2 (red). Isoflurane decreases coherence at f1 for all flicker configurations throughout the brain. Isoflurane increases SSVEP coherence at f2 at the periphery, but only for ipsilateral flicker configurations (light red). Schematics of the fly brain with superimposed examples of channel pairs from each grouping are shown at the bottom. Error bars represent the SEM across flies. b, Linear framework for SNR-based coherence estimates. The SSVEP in channel vi (t) is related to the SSVEP in channel vj (t) through the transfer function H(f). Independent noise ni (t) and nj (t) enters at each channel separately to give the recorded SSVEPs yi (t) and yj (t). Under this scheme, SSVEP coherence has an analytic expression based on the SNR at each channel, given by Equation 4.1 (see SNR-based estimation of coherence). c–e, Estimation of SNR and coherence prediction from the data. c, Noise levels were estimated from nontagged frequencies at each channel, isoflurane concentration, and flicker configurations by fitting power-law noise to the SSVEP spectrum (see SNR-based estimation of coherence). Exemplar average SSVEP spectra and power-law fits for the [13 off] flicker configuration in 0% isoflurane for two channels, indexed by i and j, are shown. A schematic of the fly brain and channel locations is shown at the top. d, The SNR of channels i and j, obtained by dividing the spectrum of the SSVEP by the power-law fit in the linear scale. e, Example of SSVEP coherence prediction for channel i and j in d based on the SNR through Equation 4.1. f, The SNR-based model correctly predicts the effects of isoflurane on coherence (Embedded Image ). Group average (N = 13) SNR-based prediction of the effects of 0.6% isoflurane. The format and color scheme is the same as in a. g, h, Coherence predictions using different definitions of the SNR. g, Prediction based on SNRs using noise levels in 0% isoflurane (Embedded Image ; see SNR-based estimation of coherence). h, Prediction based on SNR using SSVEP power levels in 0% isoflurane (Embedded Image ). i, Quality of coherence prediction from each model. MSE between the observed (a) and each of the three predictions (f–h) averaged across all flies, channels, flicker configurations, and f1 and f2. This demonstrates that the effects of isoflurane on SSVEP coherence are largely attributed to the effects of isoflurane on SSVEP power, not on noise. Error bars represent the SEM across flies (N = 13). ***p < 0.001 and *p < 0.05.

Tables

  • Figures
    • View popup
    Table 1:

    Statistical table

    Data structureType of testχ2/t score/ρ2p value/confidence interval
    aFixed effect: channel locationNormal distributionLikelihood ratio testχ2 = 494.0p < 10−16
    bFixed effect: flicker locationNormal distributionLikelihood ratio testχ2 = 211.0p < 10−16
    cFixed effect: harmonicNormal distributionLikelihood ratio testχ2 = 718.0p < 10−16
    dInteraction: flicker location and harmonicNormal distributionLikelihood ratio testχ2 = 190.0p < 10−16
    eFixed effect: flicker configurationNormal distributionLikelihood ratio testχ2 = 17.6p = 0.015
    fFixed effect (coherence): harmonicNormal distributionLikelihood ratio testχ2 = 179.0p < 10−16
    gFixed effect (coherence): flicker locationNormal distributionLikelihood ratio testχ2 = 29.5p < 10−6
    hFixed effect (coherence): channel locationNormal distributionLikelihood ratio testχ2 = 62.3p < 10−10
    iInteraction (coherence): flicker location and harmonicNormal distributionLikelihood ratio testχ2 = 6.2p < 0.02
    jMI: 0% vs 0.6% isofluraneNormal distributionTwo-tailed t testt = 3.4p < 0.008
    kMI: 0% isoflurane vs recoveryNormal distributionTwo-tailed t testt = 1.6p = 0.130
    lMI: 0.6% isoflurane vs recoveryNormal distributionTwo-tailed t testt = -4.2p < 0.003
    mSpontaneous power 20-30 Hz: 0% vs 0.6% isofluraneNormal distributionTwo-tailed t testt = −6.25p < 0.00005
    nSpontaneous power 80-90Hz: 0% vs 0.6% isofluraneNormal distributionTwo-tailed t testt = −4.3p < 0.002
    oFixed effect: isofluraneNormal distributionLikelihood ratio testχ2 = 631.36p < 10−16
    pInteraction: harmonic and isofluraneNormal distributionLikelihood ratio testχ2 = 434.7p < 10−16
    qInteraction: Isoflurane and channel locationNormal distributionLikelihood ratio testχ2 = 187p < 10−16
    rInteraction: isoflurane and flicker locationNormal distributionLikelihood ratio testχ2 = 31.26p < 0.01
    sInteraction: isoflurane, channel location and harmonicNormal distributionLikelihood ratio testχ2 = 23.09p < 0.048
    tSSVEP model fit: 0% isofluraneNormal distributionConfidence intervalρ2 = 0.995% confidence interval for slope[1.0 1.21]; intercept [-6.01 -2.43]
    uSSVEP model fit: highest dose of isofluraneNormal distributionConfidence intervalρ2 = 0.95slope = [1.05 1.15], intercept = [−1.70 0.75]
    vSSVEP model fit: change between 0% and highest dose of isofluraneNormal distributionConfidence intervalρ2 = 0.76slope = [0.722 0.94], intercept = [2.50 4.48]
    wFixed effect (coherence): isofluraneNormal distributionLikelihood ratio testχ2 = 185p < 10−16
    xInteraction: harmonic and isofluraneNormal distributionLikelihood ratio testχ2 = 146p < 10−16
    yInteraction: isoflurane and channel locationNormal distributionLikelihood ratio testχ2 = 29.25p < 0.00001
    zInteraction: isoflurane and flicker locationNormal distributionLikelihood ratio testχ2 = 12.35p < 0.009
    aaInteraction: isoflurane, harmonic and channel locationNormal distributionLikelihood ratio testχ2 = 0.66p = 0.72
    abCoherence model: Embedded Image vs Embedded Image Normal distributionTwo-tailed t testt = −5.47p < 0.0001
    avCoherence model: Embedded Image vsEmbedded Image Normal distributionTwo-tailed t testt = −5.46p < 0.0001
    adCoherence model: Embedded Image vs Embedded Image Normal distributionTwo-tailed t testt = −2.3p < 0.040
Back to top

In this issue

eneuro: 3 (4)
eNeuro
Vol. 3, Issue 4
July/August 2016
  • Table of Contents
  • Index by author
Email

Thank you for sharing this eNeuro article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
Local Versus Global Effects of Isoflurane Anesthesia on Visual Processing in the Fly Brain
(Your Name) has forwarded a page to you from eNeuro
(Your Name) thought you would be interested in this article in eNeuro.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Print
View Full Page PDF
Citation Tools
Local Versus Global Effects of Isoflurane Anesthesia on Visual Processing in the Fly Brain
Dror Cohen, Oressia H. Zalucki, Bruno van Swinderen, Naotsugu Tsuchiya
eNeuro 13 July 2016, 3 (4) ENEURO.0116-16.2016; DOI: 10.1523/ENEURO.0116-16.2016

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Respond to this article
Share
Local Versus Global Effects of Isoflurane Anesthesia on Visual Processing in the Fly Brain
Dror Cohen, Oressia H. Zalucki, Bruno van Swinderen, Naotsugu Tsuchiya
eNeuro 13 July 2016, 3 (4) ENEURO.0116-16.2016; DOI: 10.1523/ENEURO.0116-16.2016
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Significance Statement
    • Introduction
    • Materials and Methods
    • Results
    • Discussion
    • Acknowledgments
    • Footnotes
    • References
    • Synthesis
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF

Keywords

  • anesthesia
  • consciousness
  • Drosophila
  • frequency tagging
  • isoflurane
  • SSVEP

Responses to this article

Respond to this article

Jump to comment:

No eLetters have been published for this article.

Related Articles

Cited By...

More in this TOC Section

New Research

  • A Very Fast Time Scale of Human Motor Adaptation: Within Movement Adjustments of Internal Representations during Reaching
  • TrkB Signaling Influences Gene Expression in Cortistatin-Expressing Interneurons
  • Optogenetic Activation of β-Endorphin Terminals in the Medial Preoptic Nucleus Regulates Female Sexual Receptivity
Show more New Research

Cognition and Behavior

  • Comparing metacognitive representations of bodily and external agency
  • Repetition suppression for mirror images of objects and not Braille letters in the ventral visual stream of congenitally blind individuals
  • Pairing mouse social and aversive stimuli across sexes does not produce social aversion in females
Show more Cognition and Behavior

Subjects

  • Cognition and Behavior
  • Home
  • Alerts
  • Follow SFN on BlueSky
  • Visit Society for Neuroscience on Facebook
  • Follow Society for Neuroscience on Twitter
  • Follow Society for Neuroscience on LinkedIn
  • Visit Society for Neuroscience on Youtube
  • Follow our RSS feeds

Content

  • Early Release
  • Current Issue
  • Latest Articles
  • Issue Archive
  • Blog
  • Browse by Topic

Information

  • For Authors
  • For the Media

About

  • About the Journal
  • Editorial Board
  • Privacy Notice
  • Contact
  • Feedback
(eNeuro logo)
(SfN logo)

Copyright © 2025 by the Society for Neuroscience.
eNeuro eISSN: 2373-2822

The ideas and opinions expressed in eNeuro do not necessarily reflect those of SfN or the eNeuro Editorial Board. Publication of an advertisement or other product mention in eNeuro should not be construed as an endorsement of the manufacturer’s claims. SfN does not assume any responsibility for any injury and/or damage to persons or property arising from or related to any use of any material contained in eNeuro.