Scale-Invariant Movement Encoding in the Human Motor System

Slides:



Advertisements
Similar presentations
Volume 63, Issue 3, Pages (August 2009)
Advertisements

Davide Nardo, Valerio Santangelo, Emiliano Macaluso  Neuron 
Disrupted Neural Synchronization in Toddlers with Autism
Volume 60, Issue 4, Pages (November 2008)
Volume 60, Issue 5, Pages (December 2008)
Lior Shmuelof, Ehud Zohary  Neuron 
Araceli Ramirez-Cardenas, Maria Moskaleva, Andreas Nieder 
Decoding Wakefulness Levels from Typical fMRI Resting-State Data Reveals Reliable Drifts between Wakefulness and Sleep  Enzo Tagliazucchi, Helmut Laufs 
Michael S Beauchamp, Kathryn E Lee, Brenna D Argall, Alex Martin 
Two Cortical Systems for Reaching in Central and Peripheral Vision
Linking Electrical Stimulation of Human Primary Visual Cortex, Size of Affected Cortical Area, Neuronal Responses, and Subjective Experience  Jonathan.
Frontal Cortex and the Discovery of Abstract Action Rules
Volume 64, Issue 4, Pages (November 2009)
Volume 83, Issue 3, Pages (August 2014)
Chenguang Zheng, Kevin Wood Bieri, Yi-Tse Hsiao, Laura Lee Colgin 
Coding of the Reach Vector in Parietal Area 5d
Volume 55, Issue 1, Pages (July 2007)
Volume 89, Issue 6, Pages (March 2016)
Representation of Object Weight in Human Ventral Visual Cortex
Martin O'Neill, Wolfram Schultz  Neuron 
Mismatch Receptive Fields in Mouse Visual Cortex
Disruption of Large-Scale Brain Systems in Advanced Aging
Volume 27, Issue 2, Pages (January 2017)
Injecting Instructions into Premotor Cortex
Perirhinal-Hippocampal Connectivity during Reactivation Is a Marker for Object-Based Memory Consolidation  Kaia L. Vilberg, Lila Davachi  Neuron  Volume.
Volume 63, Issue 3, Pages (August 2009)
Volume 81, Issue 6, Pages (March 2014)
Timothy J. Vickery, Marvin M. Chun, Daeyeol Lee  Neuron 
Perceptual Learning and Decision-Making in Human Medial Frontal Cortex
Volume 53, Issue 6, Pages (March 2007)
Complementary Roles for Primate Frontal and Parietal Cortex in Guarding Working Memory from Distractor Stimuli  Simon Nikolas Jacob, Andreas Nieder  Neuron 
Vincent B. McGinty, Antonio Rangel, William T. Newsome  Neuron 
Feature- and Order-Based Timing Representations in the Frontal Cortex
Unreliable Evoked Responses in Autism
Volume 79, Issue 4, Pages (August 2013)
Volume 82, Issue 5, Pages (June 2014)
Selective Entrainment of Theta Oscillations in the Dorsal Stream Causally Enhances Auditory Working Memory Performance  Philippe Albouy, Aurélien Weiss,
The Generality of Parietal Involvement in Visual Attention
Jianing Yu, David Ferster  Neuron 
Volume 45, Issue 4, Pages (February 2005)
Human Orbitofrontal Cortex Represents a Cognitive Map of State Space
Michael S Beauchamp, Kathryn E Lee, Brenna D Argall, Alex Martin 
Distributed Neural Systems for the Generation of Visual Images
Dharshan Kumaran, Eleanor A. Maguire  Neuron 
Lior Shmuelof, Ehud Zohary  Neuron 
A. Saez, M. Rigotti, S. Ostojic, S. Fusi, C.D. Salzman  Neuron 
Parietal and Frontal Cortex Encode Stimulus-Specific Mnemonic Representations during Visual Working Memory  Edward F. Ester, Thomas C. Sprague, John T.
BOLD fMRI Correlation Reflects Frequency-Specific Neuronal Correlation
Georg B. Keller, Tobias Bonhoeffer, Mark Hübener  Neuron 
Decoding the Yellow of a Gray Banana
Uri Hasson, Orit Furman, Dav Clark, Yadin Dudai, Lila Davachi  Neuron 
Integration of Local Features into Global Shapes
Perception Matches Selectivity in the Human Anterior Color Center
Broca's Area and the Hierarchical Organization of Human Behavior
Normal Movement Selectivity in Autism
Timing, Timing, Timing: Fast Decoding of Object Information from Intracranial Field Potentials in Human Visual Cortex  Hesheng Liu, Yigal Agam, Joseph.
Elena A. Allen, Erik B. Erhardt, Vince D. Calhoun  Neuron 
Cerebral Responses to Change in Spatial Location of Unattended Sounds
Volume 76, Issue 4, Pages (November 2012)
Peter H. Rudebeck, Andrew R. Mitz, Ravi V. Chacko, Elisabeth A. Murray 
Volume 88, Issue 4, Pages (November 2015)
Brain Mechanisms for Extracting Spatial Information from Smell
Volume 26, Issue 14, Pages (July 2016)
Sébastien Marti, Jean-Rémi King, Stanislas Dehaene  Neuron 
Arielle Tambini, Nicholas Ketz, Lila Davachi  Neuron 
John T. Serences, Geoffrey M. Boynton  Neuron 
Encoding of Stimulus Probability in Macaque Inferior Temporal Cortex
Taosheng Liu, Franco Pestilli, Marisa Carrasco  Neuron 
Two Cortical Systems for Reaching in Central and Peripheral Vision
Human Posterior Parietal Cortex Flexibly Determines Reference Frames for Reaching Based on Sensory Context  Pierre-Michel Bernier, Scott T. Grafton  Neuron 
Presentation transcript:

Scale-Invariant Movement Encoding in the Human Motor System Naama Kadmon Harpaz, Tamar Flash, Ilan Dinstein  Neuron  Volume 81, Issue 2, Pages 452-462 (January 2014) DOI: 10.1016/j.neuron.2013.10.058 Copyright © 2014 Elsevier Inc. Terms and Conditions

Figure 1 Experimental Setup and Design (A) Kinematics were recorded with an MRI-compatible digitizing tablet. Subjects viewed a back-projected screen through a tilted mirror, which prevented any visual feedback of the movements. (B) Each trial began with an auditory instruction indicating the letter and scale to be executed (e.g., “large n”), which was followed by the fixation cross turning green (subject had 4 s to write the letter), then red (subject had 4 s to return to a starting point), and then black (subject had 4–8 s of rest). Neuron 2014 81, 452-462DOI: (10.1016/j.neuron.2013.10.058) Copyright © 2014 Elsevier Inc. Terms and Conditions

Figure 2 General Movement Parameters (A) Path length was approximately twice as large for the large letters than for the small letters. (B) Mean speed was significantly higher for the large letters. (C) Movement duration was significantly longer for the large letters. Black bars, large-scale movements; white bars, small-scale movements. All results are averaged across trials and across subjects. Error bars, SEM across subjects. Asterisks: Bonferroni corrected p < 0.001. Neuron 2014 81, 452-462DOI: (10.1016/j.neuron.2013.10.058) Copyright © 2014 Elsevier Inc. Terms and Conditions

Figure 3 Similarity of Path Shape across Trials and Scales for Three Representative Subjects Top: Movement traces of single trials (small letters, light orange; large letters, light blue) and their means (darker colors) after performing the Procrustes transformation on single trials, separately for each scale. Bottom: Mean movement traces after performing the Procrustes transformation across scales. Each panel represents a single subject. Note the clear consistency in shape across trials and scales. Neuron 2014 81, 452-462DOI: (10.1016/j.neuron.2013.10.058) Copyright © 2014 Elsevier Inc. Terms and Conditions

Figure 4 Activations during Letter Writing Orange indicates areas that exhibited significantly larger response amplitudes during letter writing than rest across all subjects. Results are displayed on inflated hemispheres (left) as well as on two horizontal slices (right) of an exemplar subject. White ellipses outline the general location of selected ROIs: left primary motor cortex (M1), left anterior intraparietal sulcus (aIPS), left dorsal premotor cortex (dPM), left ventral premotor cortex (vPM), supplementary motor area (SMA), left putamen (PTM), right cerebellum (CRB), and left insular cortex (INS). Two control ROIs that did not exhibit activation during movement execution were also identified: left orbito-frontal cortex (OFC), and an out-of-brain region (Out of brain). All ROIs, except for the two control ROIs, were selected separately in each subject. Neuron 2014 81, 452-462DOI: (10.1016/j.neuron.2013.10.058) Copyright © 2014 Elsevier Inc. Terms and Conditions

Figure 5 Decoding Accuracies of Letter Scale in M1, aIPS, and Control ROIs Bars show classification accuracy results, averaged across letters and subjects. Decoding accuracy was computed for each ROI, separately for each letter (a, dark blue; s, blue; n, cyan) and across letters (trained on a and s, red; a and n, orange; s and n, yellow). Classification and decoding was performed once using the mean ROI amplitudes (top) and again using the de-meaned voxel-by-voxel response patterns (bottom). Solid line indicates chance level (50%, two decoding possibilities). Dashed line marks p < 0.001 (randomization analysis, Bonferroni corrected). Error bars, SEM across subjects. Asterisks: significant above-chance decoding accuracies (see also Figure S3). Neuron 2014 81, 452-462DOI: (10.1016/j.neuron.2013.10.058) Copyright © 2014 Elsevier Inc. Terms and Conditions

Figure 6 Decoding Accuracies of Letter Identity in M1, aIPS, and Control ROIs Decoding accuracy was computed for each ROI, separately for each scale (large, dark blue; small, cyan) and across scales (trained on large, red; trained on small, yellow). Classification and decoding was performed once using the mean ROI amplitudes (top), again using the de-meaned voxel-by-voxel response patterns (middle), and finally using voxel-by-voxel response patterns after regressing-out the mean scale patterns (bottom). Solid line indicates chance level (33%, three decoding possibilities) and dashed line marks p < 0.001 (randomization analysis, Bonferroni corrected). Error bars, SEM across subjects. Asterisks: significant above-chance decoding accuracies (see also Figure S4). Neuron 2014 81, 452-462DOI: (10.1016/j.neuron.2013.10.058) Copyright © 2014 Elsevier Inc. Terms and Conditions

Figure 7 Correlation Values between Response Patterns of Different Size Letters in M1, aIPS, and Control ROIs Black dots, correlation between same letter identities, across different sizes, averaged across letters and subjects. Gray triangles, correlation between different letter identities, across different scales, averaged across letters and subjects. Dashed lines mark p < 0.001 (randomization analysis, Bonferroni corrected). Error bars, SEM across subjects. Asterisks: significant above-chance correlation values (see also Figure S5). Neuron 2014 81, 452-462DOI: (10.1016/j.neuron.2013.10.058) Copyright © 2014 Elsevier Inc. Terms and Conditions

Figure 8 Whole-Brain Searchlight Analyses for Letter Identity Voxels with decoding accuracies that were significantly above chance (>33%) across subjects are marked on an inflated left hemisphere of one of the subjects. Light blue indicates voxels that showed significant decoding accuracies for letter identity (p < 0.001) in both within-scale classification analyses (overlap of large-scale and small-scale decoding); red indicates voxels that showed significant decoding accuracies for letter identity (p < 0.001) across all analyses: within and across scale. Neuron 2014 81, 452-462DOI: (10.1016/j.neuron.2013.10.058) Copyright © 2014 Elsevier Inc. Terms and Conditions