Abstract:
:This article provides an overview of the use of the Geodesic sensor net system for high-density event-related potential (ERP) recording in infants. Some advantages and disadvantages of the system, as applied to infants, are discussed. First, we illustrate that high-density data can be recorded from infants at comparable quality to that observed with conventional (low density) ERP methods. Second, we discuss ways to utilize the greater spatial information available by applying source separation and localization procedures. In particular, we focus on the application of one recent source separation method, Independent Component Analysis (ICA). Finally, we show that source localization can be applied to infant high-density data, although this entails adopting a number of assumptions that remain to be verified. In the future, with improved source separation algorithms, we suggest that single-trial or single-subject analyses may become feasible.
journal_name
Dev Neuropsycholjournal_title
Developmental neuropsychologyauthors
Johnson MH,de Haan M,Oliver A,Smith W,Hatzakis H,Tucker LA,Csibra Gdoi
10.1207/S15326942DN1903_4subject
Has Abstractpub_date
2001-01-01 00:00:00pages
295-323issue
3eissn
8756-5641issn
1532-6942journal_volume
19pub_type
杂志文章abstract::The goal of the present study was to investigate intrinsic and reading-related brain function associated with dyslexia and typical readers in monolingual Brazilian children. Two fMRI studies were carried out: a resting-state and a word-reading study. The results show (a) underconnectivity between the occipitotemporal ...
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journal_title:Developmental neuropsychology
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doi:10.1080/87565641.2004.9651923
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更新日期:2000-01-01 00:00:00
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