Literature DB >> 30681259

The Role of Dorsal Premotor Cortex in Resolving Abstract Motor Rules: Converging Evidence From Transcranial Magnetic Stimulation and Cognitive Modeling.

Patrick Rice1, Andrea Stocco1,2,3,4.   

Abstract

In this study, repetitive transcranial magnetic stimulation (rTMS) was applied over left dorsal premotor cortex (PMd) while participants performed a novel task paradigm that required planning of responses in accordance with both instructed rules and present stimuli. rTMS is a noninvasive form of neurostimulation that can interfere with ongoing processing of a targeted cortical region, resulting in a transient "virtual lesion" that can reveal the contribution of the region to ongoing behavior. Increased response times (RTs) were observed specifically when rTMS was applied over PMd while participants were preparing to execute a complex response to an uninstructed stimulus. To further delineate the effect of stimulation, condition-specific RT distributions were modeled as three-parameter Weibull distributions through hierarchical Bayesian modeling (HBM). Comparison of the estimated parameters to those of a paired control demonstrated that while PMd-rTMS slightly decreased nondecision time, it also greatly increased the variability in the RT distribution. This increased variability resulted in an overall increase in predicted mean RT and is consistent with a delay in cognitive processes. In conjunction, an ACT-R cognitive model of the task was developed in order to systematically test alternative hypotheses on the potential cognitive functions that may be affected by stimulation of PMd. ACT-R simulations suggested that participant's behavior was due to an effect of TMS on a "re-planning" process, indicating that PMd may be specifically involved in planning of complex motor responses to specific visual stimuli. In conjunction with the HBM modeling effort, these results suggest that PMd-rTMS is capable of pausing or slowing the execution of a motor response-planning process.
© 2019 Cognitive Science Society, Inc.

Entities:  

Keywords:  ACT-R; Dorsal premotor cortex; Hierarchical Bayesian modeling; Response resolution; Transcranial magnetic stimulation

Mesh:

Year:  2019        PMID: 30681259      PMCID: PMC7935458          DOI: 10.1111/tops.12408

Source DB:  PubMed          Journal:  Top Cogn Sci        ISSN: 1756-8757


  10 in total

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Journal:  Psychol Rev       Date:  2010-04       Impact factor: 8.934

2.  Neural correlates of reaching decisions in dorsal premotor cortex: specification of multiple direction choices and final selection of action.

Authors:  Paul Cisek; John F Kalaska
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3.  A hierarchical model for estimating response time distributions.

Authors:  Jeffrey N Rouder; Jun Lu; Paul Speckman; Dongchu Sun; Yi Jiang
Journal:  Psychon Bull Rev       Date:  2005-04

4.  Global model analysis by parameter space partitioning.

Authors:  Mark A Pitt; Woojae Kim; Daniel J Navarro; Jay I Myung
Journal:  Psychol Rev       Date:  2006-01       Impact factor: 8.934

5.  A central circuit of the mind.

Authors:  John R Anderson; Jon M Fincham; Yulin Qin; Andrea Stocco
Journal:  Trends Cogn Sci       Date:  2008-03-10       Impact factor: 20.229

Review 6.  Cognitive control, hierarchy, and the rostro-caudal organization of the frontal lobes.

Authors:  David Badre
Journal:  Trends Cogn Sci       Date:  2008-04-09       Impact factor: 20.229

Review 7.  Motor and cognitive functions of the ventral premotor cortex.

Authors:  Giacomo Rizzolatti; Leonardo Fogassi; Vittorio Gallese
Journal:  Curr Opin Neurobiol       Date:  2002-04       Impact factor: 6.627

8.  The architecture of cognitive control in the human prefrontal cortex.

Authors:  Etienne Koechlin; Chrystèle Ody; Frédérique Kouneiher
Journal:  Science       Date:  2003-11-14       Impact factor: 47.728

9.  Diffusion-weighted imaging tractography-based parcellation of the human lateral premotor cortex identifies dorsal and ventral subregions with anatomical and functional specializations.

Authors:  Valentina Tomassini; Saad Jbabdi; Johannes C Klein; Timothy E J Behrens; Carlo Pozzilli; Paul M Matthews; Matthew F S Rushworth; Heidi Johansen-Berg
Journal:  J Neurosci       Date:  2007-09-19       Impact factor: 6.167

10.  Vertex Stimulation as a Control Site for Transcranial Magnetic Stimulation: A Concurrent TMS/fMRI Study.

Authors:  JeYoung Jung; Andreas Bungert; Richard Bowtell; Stephen R Jackson
Journal:  Brain Stimul       Date:  2015-09-25       Impact factor: 8.955

  10 in total

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