Literature DB >> 19428532

A novel technique for examining human brain activity associated with pedaling using fMRI.

Jay P Mehta1, Matthew D Verber, Jon A Wieser, Brian D Schmit, Sheila M Schindler-Ivens.   

Abstract

Advances in neural imaging technologies, such as functional magnetic resonance imaging (fMRI), have made it possible to obtain images of human brain activity during motor tasks. However, technical challenges have made it difficult to image the brain during multijoint lower limb movements like those involved in locomotion. We developed an MR compatible pedaling device and recorded human brain activity associated with rhythmic, alternating flexion and extension of the lower extremities. Ten volunteers pedaled at 30 RPM while recording fMRI signals in a GE 3T short bore MR scanner. We utilized a block design consisting of 3 runs of pedaling, each lasting 4 min. In a single run, subjects pedaled for 30 s and then rested for 30 s. This sequence was repeated 4 times. Conventional fMRI processing techniques, that correlate the entire BOLD signal with standard model, did not extract physiologically meaningful signal, likely due to magnetic field distortion caused by leg movement. Hence, we examined only the portion of the blood-oxygen-level dependent (BOLD) signal during movement-free periods. This technique takes advantage of the delayed nature of the BOLD signal and fits the falling portion of the signal after movement has stopped with a standard model. Using this approach, we observed physiologically plausible brain activity patterns associated with pedaling in the primary and secondary sensory and motor cortices and the cerebellum. To our knowledge, this is the first time that human brain activity associated with pedaling has been recorded with fMRI. This technique may be useful for advancing our understanding of supraspinal control of locomotor-like movements in health and disease.

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Year:  2009        PMID: 19428532     DOI: 10.1016/j.jneumeth.2009.01.029

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  22 in total

1.  Cognitive tasks during walking affect cerebral blood flow signal features in middle cerebral arteries and their correlation to gait characteristics.

Authors:  Arthur Gatouillat; Héloïse Bleton; Jessie VanSwearingen; Subashan Perera; Scott Thompson; Traci Smith; Ervin Sejdić
Journal:  Behav Brain Funct       Date:  2015-09-26       Impact factor: 3.759

2.  Effect of voluntary repetitive long-lasting muscle contraction activity on the BOLD signal as assessed by optimal hemodynamic response function.

Authors:  Silvia Francesca Storti; Emanuela Formaggio; Deborah Moretto; Alessandra Bertoldo; Francesca Benedetta Pizzini; Alberto Beltramello; Antonio Fiaschi; Gianna Maria Toffolo; Paolo Manganotti
Journal:  MAGMA       Date:  2013-09-03       Impact factor: 2.310

3.  Supine Cycling Exercise Enhances Cerebral Oxygenation of Motor-Related Areas in Healthy Male Volunteers.

Authors:  D Sato; S Morishita; K Hotta; Y Ito; A Shirayama; S Kojima; W Qin; A Tsubaki
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

4.  Lower Limb Task-Based Functional Connectivity Is Altered in Stroke.

Authors:  Kaleb Vinehout; Brian D Schmit; Sheila Schindler-Ivens
Journal:  Brain Connect       Date:  2019-03-23

5.  A Novel Approach to Evaluate Brain Activation for Lower Extremity Motor Control.

Authors:  Dustin R Grooms; Jed A Diekfuss; Jonathan D Ellis; Weihong Yuan; Jonathan Dudley; Kim D Barber Foss; Staci Thomas; Mekibib Altaye; Lacey Haas; Brynne Williams; John M Lanier; Kaley Bridgewater; Gregory D Myer
Journal:  J Neuroimaging       Date:  2019-07-03       Impact factor: 2.486

6.  Task effects on functional connectivity measures after stroke.

Authors:  Kaleb Vinehout; Sheila Schindler-Ivens; Jeffrey R Binder; Brian D Schmit
Journal:  Exp Brain Res       Date:  2021-12-02       Impact factor: 1.972

7.  EEG during pedaling: evidence for cortical control of locomotor tasks.

Authors:  Sanket Jain; Krishnaj Gourab; Sheila Schindler-Ivens; Brian D Schmit
Journal:  Clin Neurophysiol       Date:  2012-10-01       Impact factor: 3.708

8.  Toward translating near-infrared spectroscopy oxygen saturation data for the non-invasive prediction of spatial and temporal hemodynamics during exercise.

Authors:  Laura Ellwein; Margaret M Samyn; Michael Danduran; Sheila Schindler-Ivens; Stacy Liebham; John F LaDisa
Journal:  Biomech Model Mechanobiol       Date:  2016-07-04

9.  Changes in hemodynamic responses in chronic stroke survivors do not affect fMRI signal detection in a block experimental design.

Authors:  Nutta-On Promjunyakul; Brian D Schmit; Sheila Schindler-Ivens
Journal:  Magn Reson Imaging       Date:  2013-05-01       Impact factor: 2.546

10.  Integrated 3D motion analysis with functional magnetic resonance neuroimaging to identify neural correlates of lower extremity movement.

Authors:  Manish Anand; Jed A Diekfuss; Alexis B Slutsky-Ganesh; Dustin R Grooms; Scott Bonnette; Kim D Barber Foss; Christopher A DiCesare; Jennifer L Hunnicutt; Gregory D Myer
Journal:  J Neurosci Methods       Date:  2021-03-08       Impact factor: 2.390

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