Literature DB >> 10932475

Evaluation of reading comprehension with neuropsychological and event-related brain potential (ERP) methods.

R C D'Arcy1, J F Connolly, G A Eskes.   

Abstract

Evidence is presented for the efficacy of a new method of assessing reading comprehension using a standardized reading test that was formatted for computer presentation with simultaneous event-related brain potential (ERP) recordings. Reading comprehension abilities of 23 healthy undergraduate students were evaluated using ERPs. The results revealed a differential ERP response pattern for correct and incorrect test items. These response patterns were observed at individual participant levels. The findings provided further support for the use of ERPs in the neuropsychological assessment of patients who are difficult or impossible to assess using behavioral responses because of concomitant motoric and/or communicative limitations.

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Year:  2000        PMID: 10932475     DOI: 10.1017/s1355617700655054

Source DB:  PubMed          Journal:  J Int Neuropsychol Soc        ISSN: 1355-6177            Impact factor:   2.892


  4 in total

1.  Atypical neural responses to phonological detail in children with developmental language impairments.

Authors:  Lisa M D Archibald; Marc F Joanisse
Journal:  Dev Cogn Neurosci       Date:  2011-07-27       Impact factor: 6.464

Review 2.  Improving the clinical assessment of consciousness with advances in electrophysiological and neuroimaging techniques.

Authors:  Jodie R Gawryluk; Ryan C N D'Arcy; John F Connolly; Donald F Weaver
Journal:  BMC Neurol       Date:  2010-01-29       Impact factor: 2.474

3.  Brain Vital Signs: Expanding From the Auditory to Visual Modality.

Authors:  Gabriela M Pawlowski; Sujoy Ghosh-Hajra; Shaun D Fickling; Careesa C Liu; Xiaowei Song; Stephen Robinovitch; Sam M Doesburg; Ryan C N D'Arcy
Journal:  Front Neurosci       Date:  2019-01-18       Impact factor: 4.677

4.  Preliminary psychometric properties of a standard vocabulary test administered using a non-invasive brain-computer interface.

Authors:  Seth Warschausky; Jane E Huggins; Ramses Eduardo Alcaide-Aguirre; Abdulrahman W Aref
Journal:  Front Hum Neurosci       Date:  2022-07-28       Impact factor: 3.473

  4 in total

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