Skip to main content

Umbrella menu

  • SfN.org
  • eNeuro
  • The Journal of Neuroscience
  • Neuronline
  • BrainFacts.org

Main menu

  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Collections
  • ALERTS
  • FOR AUTHORS
    • Preparing a Manuscript
    • Submission Guidelines
    • Fees
    • Journal Club
    • eLetters
    • Submit
  • EDITORIAL BOARD
  • ABOUT
    • Overview
    • Subscriptions
    • Advertise
    • For the Media
    • Rights and Permissions
    • Privacy Policy
    • Feedback
  • SfN.org
  • eNeuro
  • The Journal of Neuroscience
  • Neuronline
  • BrainFacts.org

User menu

  • Log in
  • Subscribe
  • My alerts

Search

  • Advanced search
Journal of Neuroscience
  • Log in
  • Subscribe
  • My alerts
Journal of Neuroscience

Advanced Search

Submit a Manuscript
  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Collections
  • ALERTS
  • FOR AUTHORS
    • Preparing a Manuscript
    • Submission Guidelines
    • Fees
    • Journal Club
    • eLetters
    • Submit
  • EDITORIAL BOARD
  • ABOUT
    • Overview
    • Subscriptions
    • Advertise
    • For the Media
    • Rights and Permissions
    • Privacy Policy
    • Feedback
PreviousNext
Articles, Behavioral/Systems/Cognitive

Decoding Action Intentions from Preparatory Brain Activity in Human Parieto-Frontal Networks

Jason P. Gallivan, D. Adam McLean, Kenneth F. Valyear, Charles E. Pettypiece and Jody C. Culham
Journal of Neuroscience 29 June 2011, 31 (26) 9599-9610; DOI: https://doi.org/10.1523/JNEUROSCI.0080-11.2011
Jason P. Gallivan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
D. Adam McLean
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kenneth F. Valyear
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Charles E. Pettypiece
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jody C. Culham
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • 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.

    Experiment setup, conditions, timing, and trial-related brain activity. A, Setup from side view. The participant's head is tilted to permit direct viewing of objects on the platform. B, Experimental apparatus and graspable object shown from the participant's point of view. The same object (consisting of a smaller cube attached atop a larger cube) was always presented at the same location on the platform for every trial. Green star with dark shadow represents the fixation LED and its location in depth. Hand is positioned at its starting location. Right, The three different hand movements. C, Timing of one event-related trial. Trials began with the 3D graspable object being illuminated while the subject maintained fixation (preview phase; 6 s). Subjects were then instructed via headphones to perform one of three hand actions: grasp the top cube (Top), grasp the bottom cube (Bottom), or touch both cubes with their knuckles (Touch). This cue initiated the plan phase portion of the trial, in which, in addition to having visual information from the object, subjects also knew which hand action they were to perform. After a delay interval (10 s), subjects were cued (via an auditory beep) to perform the instructed hand movement (execute phase). Two seconds after the movement, vision of the object was extinguished and participants waited for commencement of the following trial (14 s, ITI). D, Example event-related BOLD activity from parietal cortex (posterior IPS) over the length of a trial. Events in D are time locked to correspond to events in C. Pattern classification analysis was performed on single trials based on the windowed average of the percentage signal change (% SC) corresponding to the three different time points denoted by each of the gray shaded bars (each corresponding to activity elicited from the 3 distinct trial phases preview, plan, and execute).

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

    Decoding of object-directed movement intentions across the parieto-frontal network. Cortical areas that exhibited larger responses during movement planning than the preceding visual phase (plan > preview) are shown in orange/yellow activation. Results calculated across all subjects (random-effects GLM) are displayed on one representative subject's inflated hemispheres. The general locations of the selected ROIs are outlined in circles (actual ROIs were anatomically defined separately in each subject). Each ROI is color coded according to the pairwise discriminations they can decode during the plan phase (found in Fig. 4); see color legend at top for classification profiles (colors denote significant decoding accuracies for upcoming actions with respect to 50% chance). Sulcal landmarks are denoted by white lines (stylized according to the corresponding legends below each brain). LH, Left hemisphere; RH, right hemisphere.

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

    Trial-related percentage signal change fMRI activations from each of the 14 plan-network ROIs and three sensory control ROIs. Activity in each plot is averaged across voxels within each ROI and across subjects. Plots show the profiles of typical preparatory activity found throughout parieto-frontal network areas. Vertical dashed lines correspond to the onset of the preview, plan, and execute phases of each trial (from left to right). Shaded gray bars highlight the two-volume (4 s) windows that were averaged and extracted for pattern classification analysis. Note that time corresponds to imaging volumes (TR of 2) and not seconds.

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

    Classifier decoding accuracies for each ROI for the three trial phases (preview, plan, and execute; the middle 3 bars correspond to accuracies elicited during the plan phase). Error bars represent SEM across subjects. Solid black lines are chance accuracy level (50%). Black asterisks assess statistical significance with two-tailed t tests across subjects with respect to 50%. Note that no above-chance decoding is shown during the preview phase, when subjects were unaware which movement they were going to perform. Red asterisks denote statistical significance with paired two-tailed t tests for decoding accuracies across subjects for plan and execute phases with respect to within-trial decoding accuracies found during the preceding preview phase (i.e., assessing where accuracies are higher than that for simple object visual presentation, when subjects were unaware which action they would be performing). Importantly, any areas showing significant decoding during the plan phase with respect to 50% also show significant decoding with respect to the permutation tests (see Materials and Methods) and preview phase. Note that accurate classification can only be attributed to the spatial response patterns of different planned movement types and not the overall signal amplitudes within each ROI (see Fig. 5). Also note that decoding accuracies are color coded according to pairwise discriminations and not trial types.

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

    No fMRI signal amplitude differences found within the parieto-frontal regions used for pattern classification. Responses are averaged across voxels within each ROI and across subjects (2-volume averaged windows corresponding to preview, plan, and execute phases). Note that only one significant univariate difference is observed in R-SPOC, a non-decoding region. Error bars represent SEM across subjects.

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

    Classifier decoding accuracies in non-brain control regions. A, Non-brain control ROIs defined in each subject (denoted in green; example subject shown). B, Classifier accuracies for the three trial phases for the right ventricle (left) and outside the brain ROI (right). Error bars represent SEM across subjects. Solid lines show chance classification accuracy (50%). Importantly, no significant differences were found with t tests across subjects with respect to 50% chance.

Tables

  • Figures
    • View popup
    Table 1.

    ROIs with corresponding Talairach coordinates (x, y, and z center of mass mean and SD)

    ROI nameTalairach coordinatesROI size
    Mean xMean yMean zSD xSD ySD zmm3n voxels
    R-SPOC4−70384.63.54.1178266
    L-SPOC−6−743643.93.6218981
    L-aPCu−14−74443.73.83.4189570
    L-pIPS−16−63503.343199674
    L-midIPS−35−57423.644.3205376
    L-post aIPS−36−44463.93.93.8209478
    L-aIPS−49−34443.844192671
    L-SMG−58−41293.63.34.2178266
    L-motor cortex−33−19564.54.43.6127847
    L-PMd cortex−23−9584.143.6191471
    L-precentral gyrus−39−11553.533.2167962
    L-PMv cortex−534313.12.72.9161760
    L-preSMA−84413.244189670
    L-SMA−7−3513.53.93.4202675
    L-SS cortex−41−32543.83.94.2152857
    L-HG−57−26643.74.1195672
    R-HG57−2173.93.63.2162760
    • Mean ROI sizes across subjects from ACPC data (in cubic millimeters and functional voxels).

Back to top

In this issue

The Journal of Neuroscience: 31 (26)
Journal of Neuroscience
Vol. 31, Issue 26
29 Jun 2011
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover
  • Index by author
  • Advertising (PDF)
  • Ed Board (PDF)
Email

Thank you for sharing this Journal of Neuroscience 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.
Decoding Action Intentions from Preparatory Brain Activity in Human Parieto-Frontal Networks
(Your Name) has forwarded a page to you from Journal of Neuroscience
(Your Name) thought you would be interested in this article in Journal of Neuroscience.
Print
View Full Page PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Citation Tools
Decoding Action Intentions from Preparatory Brain Activity in Human Parieto-Frontal Networks
Jason P. Gallivan, D. Adam McLean, Kenneth F. Valyear, Charles E. Pettypiece, Jody C. Culham
Journal of Neuroscience 29 June 2011, 31 (26) 9599-9610; DOI: 10.1523/JNEUROSCI.0080-11.2011

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Respond to this article
Request Permissions
Share
Decoding Action Intentions from Preparatory Brain Activity in Human Parieto-Frontal Networks
Jason P. Gallivan, D. Adam McLean, Kenneth F. Valyear, Charles E. Pettypiece, Jody C. Culham
Journal of Neuroscience 29 June 2011, 31 (26) 9599-9610; DOI: 10.1523/JNEUROSCI.0080-11.2011
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

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

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

Articles

  • Choice Behavior Guided by Learned, But Not Innate, Taste Aversion Recruits the Orbitofrontal Cortex
  • Maturation of Spontaneous Firing Properties after Hearing Onset in Rat Auditory Nerve Fibers: Spontaneous Rates, Refractoriness, and Interfiber Correlations
  • Insulin Treatment Prevents Neuroinflammation and Neuronal Injury with Restored Neurobehavioral Function in Models of HIV/AIDS Neurodegeneration
Show more Articles

Behavioral/Systems/Cognitive

  • Episodic Reinstatement in the Medial Temporal Lobe
  • Musical Expertise Induces Audiovisual Integration of Abstract Congruency Rules
  • The Laminar Development of Direction Selectivity in Ferret Visual Cortex
Show more Behavioral/Systems/Cognitive
  • Home
  • Alerts
  • 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
  • Issue Archive
  • Collections

Information

  • For Authors
  • For Advertisers
  • For the Media
  • For Subscribers

About

  • About the Journal
  • Editorial Board
  • Privacy Policy
  • Contact
  • Feedback
(JNeurosci logo)
(SfN logo)

Copyright © 2019 by the Society for Neuroscience.
JNeurosci   Print ISSN: 0270-6474   Online ISSN: 1529-2401

The ideas and opinions expressed in JNeurosci do not necessarily reflect those of SfN or the JNeurosci Editorial Board. Publication of an advertisement or other product mention in JNeurosci 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 JNeurosci.