Literature DB >> 15464354

Timing in the baby brain.

Elizabeth M Brannon1, Lauren Wolfe Roussel, Warren H Meck, Marty Woldorff.   

Abstract

Ten-month-old infants and adults were tested in an auditory oddball paradigm in which 50-ms tones were separated by 1500 ms (standard interval) and occasionally 500 ms (deviant interval). Both infants and adults showed marked brain responses to the tone that followed a deviant inter-stimulus interval (ISI). Specifically, the timing-deviance event-related-potential (ERP) difference waves (deviant-ISI ERP minus standard-ISI ERP) yielded a significant, fronto-centrally distributed, mismatch negativity (MMN) in the latency range of 120-240 ms post-stimulus for infants and 110-210 ms for adults. A robust, longer latency, deviance-related positivity was also obtained for infants (330-520 ms), with a much smaller and later deviance-related positivity observed for adults (585-705 ms). These results suggest that the 10-month-old infant brain has already developed some of the same mechanisms as adults for detecting deviations in the timing of stimulus events.

Entities:  

Mesh:

Year:  2004        PMID: 15464354     DOI: 10.1016/j.cogbrainres.2004.04.007

Source DB:  PubMed          Journal:  Brain Res Cogn Brain Res        ISSN: 0926-6410


  22 in total

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3.  Electrophysiological measures of time processing in infant and adult brains: Weber's Law holds.

Authors:  Elizabeth M Brannon; Melissa E Libertus; Warren H Meck; Marty G Woldorff
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6.  Developmental neuroscience of time and number: implications for autism and other neurodevelopmental disabilities.

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Journal:  Front Integr Neurosci       Date:  2012-03-06

7.  Children can implicitly, but not voluntarily, direct attention in time.

Authors:  Katherine A Johnson; Emma Burrowes; Jennifer T Coull
Journal:  PLoS One       Date:  2015-04-16       Impact factor: 3.240

8.  Development of time sensitivity and information processing speed.

Authors:  Sylvie Droit-Volet; Pierre S Zélanti
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9.  Developmental Trajectories of Internally and Externally Driven Temporal Prediction.

Authors:  Giovanni Mento; Vincenza Tarantino
Journal:  PLoS One       Date:  2015-08-11       Impact factor: 3.240

10.  The passive CNV: carving out the contribution of task-related processes to expectancy.

Authors:  Giovanni Mento
Journal:  Front Hum Neurosci       Date:  2013-12-12       Impact factor: 3.169

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