Literature DB >> 16648451

High-frequency activity in human visual cortex is modulated by visual motion strength.

Markus Siegel1, Tobias H Donner, Robert Oostenveld, Pascal Fries, Andreas K Engel.   

Abstract

A central goal in systems neuroscience is to understand how the brain encodes the intensity of sensory features. We used whole-head magnetoencephalography to investigate whether frequency-specific neuronal activity in the human visual cortex is systematically modulated by the intensity of an elementary sensory feature such as visual motion. Visual stimulation induced a tonic increase of neuronal activity at frequencies above 50 Hz. In order to define a functional frequency band of neuronal activity, we parametrically investigated which frequency band displays the strongest monotonic increase of responses with strength of visual motion. Consistently in all investigated subjects, this analysis resulted in a functional frequency band in the high gamma range from about 60 to 100 Hz in which activity reliably increased with visual motion strength. Using distributed source reconstruction, we found that this increase of high-frequency neuronal activity originates from several extrastriate cortical regions specialized in motion processing. We conclude that high-frequency activity in the human visual motion pathway may be relevant for encoding the intensity of visual motion signals.

Entities:  

Mesh:

Year:  2006        PMID: 16648451     DOI: 10.1093/cercor/bhk025

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  45 in total

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7.  Phase-dependent neuronal coding of objects in short-term memory.

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8.  Synchronization between the end stages of the dorsal and the ventral visual stream.

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9.  Dynamics of large-scale cortical interactions at high gamma frequencies during word production: event related causality (ERC) analysis of human electrocorticography (ECoG).

Authors:  Anna Korzeniewska; Piotr J Franaszczuk; Ciprian M Crainiceanu; Rafał Kuś; Nathan E Crone
Journal:  Neuroimage       Date:  2011-03-16       Impact factor: 6.556

10.  Power-law scaling in the brain surface electric potential.

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Journal:  PLoS Comput Biol       Date:  2009-12-18       Impact factor: 4.475

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