Literature DB >> 23741040

Many hats: intratrial and reward level-dependent BOLD activity in the striatum and premotor cortex.

Erik J Peterson1, Carol A Seger.   

Abstract

Human functional magnetic resonance imaging (fMRI) studies, as well as lesion, drug, and single-cell recording studies in animals, suggest that the striatum plays a key role in associating sensory events with rewarding actions, both by facilitating reward processing and prediction (i.e., reinforcement learning) and by biasing and later updating action selection. Previous human neuroimaging research has failed to dissociate striatal activity associated with reward, stimulus, and response processing, and previous electrophysiological research in nonhuman animals has typically only examined single striatal subregions. Overcoming both these limitations, we isolated blood oxygen level-dependent (BOLD) signal associated with four intratrial processes (stimulus, preparation of response, response, and feedback) in a visuomotor learning task and examined activity associated with each within four striatal subregions (ventral striatum, putamen, head of the caudate nucleus, and body of the caudate) and the lateral premotor cortex. Overall, the striatum and lateral premotor cortex were recruited during all trial components, confirming their importance in all aspects of visuomotor learning. However, the caudate was most active at stimulus and feedback, whereas the putamen peaked in activity at response. Activation in the lateral premotor cortex was, surprisingly, strongest during stimulus and following response as feedback approached. Activity was additionally examined at three reward magnitudes. Reward magnitude affected neural activity only during stimulus in the caudate, putamen, and premotor cortex, whereas the ventral striatum showed reward sensitivity during both stimulus and feedback. Collectively, these results indicate that each striatal region makes a unique contribution to visuomotor learning through functions performed at different points within single trials.

Entities:  

Keywords:  learning; response; reward; striatum

Mesh:

Year:  2013        PMID: 23741040      PMCID: PMC4042415          DOI: 10.1152/jn.00164.2012

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  86 in total

1.  Anticipation of increasing monetary reward selectively recruits nucleus accumbens.

Authors:  B Knutson; C M Adams; G W Fong; D Hommer
Journal:  J Neurosci       Date:  2001-08-15       Impact factor: 6.167

2.  Cue-evoked firing of nucleus accumbens neurons encodes motivational significance during a discriminative stimulus task.

Authors:  Saleem M Nicola; Irene A Yun; Ken T Wakabayashi; Howard L Fields
Journal:  J Neurophysiol       Date:  2003-11-26       Impact factor: 2.714

3.  Neuronal activity in monkey ventral striatum related to the expectation of reward.

Authors:  W Schultz; P Apicella; E Scarnati; T Ljungberg
Journal:  J Neurosci       Date:  1992-12       Impact factor: 6.167

4.  Human striatal activation reflects degree of stimulus saliency.

Authors:  Caroline F Zink; Giuseppe Pagnoni; Jonathan Chappelow; Megan Martin-Skurski; Gregory S Berns
Journal:  Neuroimage       Date:  2005-09-08       Impact factor: 6.556

Review 5.  Basal ganglia and dopamine contributions to probabilistic category learning.

Authors:  D Shohamy; C E Myers; J Kalanithi; M A Gluck
Journal:  Neurosci Biobehav Rev       Date:  2007-08-10       Impact factor: 8.989

6.  Interactions within and between corticostriatal loops during component processes of category learning.

Authors:  Dan Lopez-Paniagua; Carol A Seger
Journal:  J Cogn Neurosci       Date:  2011-03-10       Impact factor: 3.225

7.  Dissociating the contributions of independent corticostriatal systems to visual categorization learning through the use of reinforcement learning modeling and Granger causality modeling.

Authors:  Carol A Seger; Erik J Peterson; Corinna M Cincotta; Dan Lopez-Paniagua; Charles W Anderson
Journal:  Neuroimage       Date:  2009-12-05       Impact factor: 6.556

8.  A neuropsychological theory of multiple systems in category learning.

Authors:  F G Ashby; L A Alfonso-Reese; A U Turken; E M Waldron
Journal:  Psychol Rev       Date:  1998-07       Impact factor: 8.934

9.  Human midbrain sensitivity to cognitive feedback and uncertainty during classification learning.

Authors:  A R Aron; D Shohamy; J Clark; C Myers; M A Gluck; R A Poldrack
Journal:  J Neurophysiol       Date:  2004-03-10       Impact factor: 2.714

10.  Selective impairment of prediction error signaling in human dorsolateral but not ventral striatum in Parkinson's disease patients: evidence from a model-based fMRI study.

Authors:  Tom Schonberg; John P O'Doherty; Daphna Joel; Rivka Inzelberg; Yoram Segev; Nathaniel D Daw
Journal:  Neuroimage       Date:  2009-08-12       Impact factor: 6.556

View more
  9 in total

1.  Generalization in category learning: the roles of representational and decisional uncertainty.

Authors:  Carol A Seger; Kurt Braunlich; Hillary S Wehe; Zhiya Liu
Journal:  J Neurosci       Date:  2015-06-10       Impact factor: 6.167

2.  Impact of Visual Corticostriatal Loop Disruption on Neural Processing within the Parahippocampal Place Area.

Authors:  Shahin Nasr; Herminia D Rosas
Journal:  J Neurosci       Date:  2016-10-05       Impact factor: 6.167

3.  Differential impact of reward and punishment on functional connectivity after skill learning.

Authors:  Adam Steel; Edward H Silson; Charlotte J Stagg; Chris I Baker
Journal:  Neuroimage       Date:  2019-01-08       Impact factor: 6.556

4.  Lower dorsal striatum activation in association with neuroticism during the acceptance of unfair offers.

Authors:  Michelle Nadine Servaas; André Aleman; Jan-Bernard Cornelis Marsman; Remco Jan Renken; Harriëtte Riese; Johan Ormel
Journal:  Cogn Affect Behav Neurosci       Date:  2015-09       Impact factor: 3.282

5.  A Functional Cartography of Cognitive Systems.

Authors:  Marcelo G Mattar; Michael W Cole; Sharon L Thompson-Schill; Danielle S Bassett
Journal:  PLoS Comput Biol       Date:  2015-12-02       Impact factor: 4.475

6.  Connectivity differences between Gulf War Illness (GWI) phenotypes during a test of attention.

Authors:  Tomas Clarke; Jessie D Jamieson; Patrick Malone; Rakib U Rayhan; Stuart Washington; John W VanMeter; James N Baraniuk
Journal:  PLoS One       Date:  2019-12-31       Impact factor: 3.752

7.  Dopaminergic and noradrenergic modulation of stress-induced alterations in brain activation associated with goal-directed behaviour.

Authors:  Peter van Ruitenbeek; Conny Wem Quaedflieg; Dennis Hernaus; Bart Hartogsveld; Tom Smeets
Journal:  J Psychopharmacol       Date:  2021-09-14       Impact factor: 4.153

8.  The visual corticostriatal loop through the tail of the caudate: circuitry and function.

Authors:  Carol A Seger
Journal:  Front Syst Neurosci       Date:  2013-12-06

9.  Striatal vessels receive phosphorylated tyrosine hydroxylase-rich innervation from midbrain dopaminergic neurons.

Authors:  Domingo Afonso-Oramas; Ignacio Cruz-Muros; Javier Castro-Hernández; Josmar Salas-Hernández; Pedro Barroso-Chinea; Sonia García-Hernández; José L Lanciego; Tomás González-Hernández
Journal:  Front Neuroanat       Date:  2014-08-26       Impact factor: 3.856

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.