Literature DB >> 15850722

Functional MRI reveals the existence of modality and coordination-dependent timing networks.

K J Jantzen1, F L Steinberg, J A S Kelso.   

Abstract

Growing evidence suggests that interval timing in humans is supported by distributed brain networks. Recently, we demonstrated that the specific network recruited for the performance of rhythmic timing is not static but is influenced by the coordination pattern employed during interval acquisition. Here we expand on this previous work to investigate the role of stimulus modality and coordination pattern in determining the brain areas recruited for performance of a self-paced rhythmic timing task. Subjects were paced with either a visual or an auditory metronome in either a synchronized (on the beat) or syncopated (off the beat) coordination pattern. The pacing stimulus was then removed and subjects continued to move based on the required interval. When compared with networks recruited for auditory pacing and continuation, the visual-specific activity was observed in the classic dorsal visual stream that included bilateral MT/V5, bilateral superior parietal lobe, and right ventral premotor cortex. Activity in these regions was present not only during pacing, when visual information is used to guide motor behavior, but also during continuation, when visual information specifying the temporal interval was no longer present. These results suggest a role for modality-specific areas in processing and representing temporal information. The cognitive demands imposed by syncopated coordination resulted in increased activity in a broad network that included supplementary motor area, lateral pre-motor cortex, bilateral insula, and cerebellum. This coordination-dependent activity persisted during the subsequent continuation period, when stimuli were removed and no coordination constraints were imposed. Taken together, the present results provide additional evidence that time and timing are served by a context-dependent distributed network rooted in basic sensorimotor processes.

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Year:  2005        PMID: 15850722     DOI: 10.1016/j.neuroimage.2004.12.029

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  46 in total

1.  See what I hear? Beat perception in auditory and visual rhythms.

Authors:  Jessica A Grahn
Journal:  Exp Brain Res       Date:  2012-05-24       Impact factor: 1.972

Review 2.  Neuroanatomical and neurochemical substrates of timing.

Authors:  Jennifer T Coull; Ruey-Kuang Cheng; Warren H Meck
Journal:  Neuropsychopharmacology       Date:  2010-07-28       Impact factor: 7.853

3.  Neural substrates of impaired sensorimotor timing in adult attention-deficit/hyperactivity disorder.

Authors:  Eve M Valera; Rebecca M C Spencer; Thomas A Zeffiro; Nikos Makris; Thomas J Spencer; Stephen V Faraone; Joseph Biederman; Larry J Seidman
Journal:  Biol Psychiatry       Date:  2010-08-15       Impact factor: 13.382

4.  Aberrant connections between climbing fibres and Purkinje cells induce alterations in the timing of an instrumental response in the rat.

Authors:  Lorena Gaytán-Tocavén; Miguel Ángel López-Vázquez; Miguel Ángel Guevara; María Esther Olvera-Cortés
Journal:  Exp Brain Res       Date:  2017-06-20       Impact factor: 1.972

5.  An internal clock for predictive saccades is established identically by auditory or visual information.

Authors:  Wilsaan M Joiner; Jung-Eun Lee; Adrian Lasker; Mark Shelhamer
Journal:  Vision Res       Date:  2007-04-18       Impact factor: 1.886

Review 6.  Dedicated and intrinsic models of time perception.

Authors:  Richard B Ivry; John E Schlerf
Journal:  Trends Cogn Sci       Date:  2008-06-06       Impact factor: 20.229

7.  Individual differences in timing of discrete and continuous movements: a dimensional approach.

Authors:  H Lorås; A K Stensdotter; F Öhberg; H Sigmundsson
Journal:  Psychol Res       Date:  2013-05-28

8.  Auditory modulation of visual apparent motion with short spatial and temporal intervals.

Authors:  Hulusi Kafaligonul; Gene R Stoner
Journal:  J Vis       Date:  2010-10-26       Impact factor: 2.240

9.  Modulating cortical connectivity in stroke patients by rTMS assessed with fMRI and dynamic causal modeling.

Authors:  Christian Grefkes; Dennis A Nowak; Ling E Wang; Manuel Dafotakis; Simon B Eickhoff; Gereon R Fink
Journal:  Neuroimage       Date:  2009-12-18       Impact factor: 6.556

10.  Interval timing disruptions in subjects with cerebellar lesions.

Authors:  Cynthia M Gooch; Martin Wiener; Elaine B Wencil; H Branch Coslett
Journal:  Neuropsychologia       Date:  2009-12-04       Impact factor: 3.139

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