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뇌과학이미징연구단
뇌과학 이미징 연구단
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Distinct neural mechanisms for spatially lateralized and spatially global visual working memory representations

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Title
Distinct neural mechanisms for spatially lateralized and spatially global visual working memory representations
Author(s)
Keisuke Fukuda; Min-Suk Kang; Geoffrey F. Woodman
Publication Date
2016-10
Journal
JOURNAL OF NEUROPHYSIOLOGY, v.116, no.4, pp.1715 - 1727
Publisher
AMER PHYSIOLOGICAL SOC
Abstract
Visual working memory (VWM) allows humans to actively maintain a limited amount of information. Whereas previous electrophysiological studies have found that lateralized event-related potentials (ERPs) track the maintenance of information in VWM, recent imaging experiments have shown that spatially global representations can be read out using the activity across the visual cortex. The goal of the present study was to determine whether both lateralized and spatially global electrophysiological signatures coexist. We first show that it is possible to simultaneously measure lateralized ERPs that track the number of items held in VWM from one visual hemfield and parietooccipital alpha(8-12 Hz) power over both hemispheres indexing spatially global VWM representations. Next, we replicated our findings and went on to show that this bilateral parietooccipital alpha power as well as the contralaterally biased ERP correlate of VWM carries a signal that can be used to decode the identity of the representations stored in VWM. Our findings not only unify observations across electrophysiology and imaging techniques but also suggest that ERPs and alpha-band oscillations index different neural mechanisms that map on to lateralized and spatially global representations, respectively. © 2016 the American Physiological Society
URI
https://pr.ibs.re.kr/handle/8788114/3112
ISSN
0022-3077
Appears in Collections:
Center for Neuroscience Imaging Research (뇌과학 이미징 연구단) > Journal Papers (저널논문)
Files in This Item:
046_J Neurophysiol_2016_Fukuda_Distinct neural mechanisms for spatially lateralized and spatially global visual working memory representations.pdfDownload

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