Keyword search (3,168 papers available)


Improving Safety of MRI in Patients with Deep Brain Stimulation Devices.

Author(s): Boutet A, Chow CT, Narang K, Elias GJB, Neudorfer C, Germann J, Ranjan M, Loh A, Martin AJ, Kucharczyk W, Steele CJ, Hancu I, Rezai AR, Lozano AM

Radiology. 2020 Jun 23;:192291 Authors: Boutet A, Chow CT, Narang K, Elias GJB, Neudorfer C, Germann J, Ranjan M, Loh A, Martin AJ, Kucharczyk W, Steele CJ, Hancu I, Rezai AR, Lozano AM

Article GUID: 32573388
Investigating microstructural variation in the human hippocampus using non-negative matrix factorization.

Author(s): Patel R, Steele CJ, Chen A, Patel S, Devenyi GA, Germann J, Tardif CL, Chakravarty MM

Neuroimage. 2019 Nov 09;:116348 Authors: Patel R, Steele CJ, Chen A, Patel S, Devenyi GA, Germann J, Tardif CL, Chakravarty MM

Article GUID: 31715254
High resolution atlas of the venous brain vasculature from 7 T quantitative susceptibility maps.

Author(s): Huck J, Wanner Y, Fan AP, Jäger AT, Grahl S, Schneider U, Villringer A, Steele CJ, Tardif CL, Bazin PL, Gauthier CJ

Brain Struct Funct. 2019 Jul 05;: Authors: Huck J, Wanner Y, Fan AP, Jäger AT, Grahl S, Schneider U, Villringer A, Steele CJ, Tardif CL, Bazin PL, Gauthier CJ

Article GUID: 31278570
Higher cardiovascular fitness level is associated with lower cerebrovascular reactivity and perfusion in healthy older adults.

Author(s): Intzandt B, Sabra D, Foster C, Desjardins-Crépeau L, Hoge RD, Steele CJ, Bherer L, Gauthier CJ

J Cereb Blood Flow Metab. 2019 Jul 25;:271678X19862873 Authors: Intzandt B, Sabra D, Foster C, Desjardins-Crépeau L, Hoge RD, Steele CJ, Bherer L, Gauthier CJ

Article GUID: 31342831
Nighres: processing tools for high-resolution neuroimaging.

Author(s): Huntenburg JM, Steele CJ, Bazin PL

Gigascience. 2018 07 01;7(7): Authors: Huntenburg JM, Steele CJ, Bazin PL

Article GUID: 29982501
Parallel contributions of cerebellar, striatal and M1 mechanisms to motor sequence learning.

Author(s): Penhune VB, Steele CJ

Behav Brain Res. 2012 Jan 15;226(2):579-91 Authors: Penhune VB, Steele CJ

Article GUID: 22004979
Advanced MRI techniques to improve our understanding of experience-induced neuroplasticity.

Author(s): Tardif CL, Gauthier CJ, Steele CJ, Bazin PL, Schäfer A, Schaefer A, Turner R, Villringer A

Neuroimage. 2016 05 01;131:55-72 Authors: Tardif CL, Gauthier CJ, Steele CJ, Bazin PL, Schäfer A, Schaefer A, Turner R, Villringer A

Article GUID: 26318050
Practice makes plasticity.

Author(s): Steele CJ, Zatorre RJ

Nat Neurosci. 2018 12;21(12):1645-1646 Authors: Steele CJ, Zatorre RJ

Article GUID: 30482944
Kinematic profiles suggest differential control processes involved in bilateral in-phase and anti-phase movements.

Author(s): Shih PC, Steele CJ, Nikulin V, Villringer A, Sehm B

Sci Rep. 2019 Mar 01;9(1):3273 Authors: Shih PC, Steele CJ, Nikulin V, Villringer A, Sehm B

Article GUID: 30824858
Neuroimaging Technological Advancements for Targeting in Functional Neurosurgery.

Author(s): Boutet A, Gramer R, Steele CJ, Elias GJB, Germann J, Maciel R, Kucharczyk W, Zrinzo L, Lozano AM, Fasano A

Curr Neurol Neurosci Rep. 2019 May 30;19(7):42 Authors: Boutet A, Gramer R, Steele CJ, Elias GJB, Germann J, Maciel R, Kucharczyk W, Zrinzo L, Lozano AM, Fasano A

Article GUID: 31144155
Investigation of the confounding effects of vasculature and metabolism on computational anatomy studies.

Author(s): Tardif CL, Steele CJ, Lampe L, Bazin PL, Ragert P, Villringer A, Gauthier CJ

Neuroimage. 2017 04 01;149:233-243 Authors: Tardif CL, Steele CJ, Lampe L, Bazin PL, Ragert P, Villringer A, Gauthier CJ

Article GUID: 28159689
Title:Parallel contributions of cerebellar, striatal and M1 mechanisms to motor sequence learning.
Authors:Penhune VB,  Steele CJ
Link:https://www.ncbi.nlm.nih.gov/pubmed/22004979?dopt=Abstract
Category:Behav Brain Res
PMID:22004979
Dept Affiliation: NA
1 Laboratory for Motor Learning and Neural Plasticity, Department of Psychology, Concordia University, Canada. Virginia.penhune@concordia.ca

Description:

Parallel contributions of cerebellar, striatal and M1 mechanisms to motor sequence learning.

Behav Brain Res. 2012 Jan 15;226(2):579-91

Authors: Penhune VB, Steele CJ

Abstract

When learning a new motor sequence, we must execute the correct order of movements while simultaneously optimizing sensorimotor parameters such as trajectory, timing, velocity and force. Neurophysiological studies in animals and humans have identified the major brain regions involved in sequence learning, including the motor cortex (M1), basal ganglia (BG) and cerebellum. Current models link these regions to different stages of learning (early vs. late) or different components of performance (spatial vs. sensorimotor). At the same time, research in motor control has given rise to the concept that internal models at different levels of the motor system may contribute to learning. The goal of this review is to develop a new framework for motor sequence learning that combines stage and component models within the context of internal models. To do this, we review behavioral and neuroimaging studies in humans and neurophysiological studies in animals. Based on this evidence, we present a model proposing that sequence learning is underwritten by parallel, interacting processes, including internal model formation and sequence representation, that are instantiated in specific cerebellar, BG or M1 mechanisms depending on task demands and the stage of learning. The striatal system learns predictive stimulus-response associations and is critical for motor chunking. The role of the cerebellum is to acquire the optimal internal model for sequence performance in a particular context, and to contribute to error correction and control of on-going movement. M1 acts to store the representation of a learned sequence, likely as part of a distributed network including the parietal lobe and premotor cortex.

PMID: 22004979 [PubMed - indexed for MEDLINE]