Literature DB >> 15331216

Relationship between resting alpha activity and the ERPs obtained during a highly demanding selective attention task.

Julieta Ramos-Loyo1, Andrés Antonio Gonzalez-Garrido, Claudia Amezcua, Miguel A Guevara.   

Abstract

In spite of previous reports on the relationship between ongoing EEG and ERPs, there remains a lack of agreement on the nature of their nexuses. The aim of the present study was to evaluate the relationship between resting EEG and the ERP components in two groups of healthy subjects with different levels of performance in a highly demanding selective visual attention task. Young adults were classified according to the amount of their correct responses in the task, into high (HP; averaged hits (AH): 86%) and low performance groups (LP; AH: 59%). EEG was recorded during rest, prior to task performance and absolute (AP) and relative power (RP), as well as inter- (rTER) and intrahemispheric (rTRA) correlation were calculated. ERPs during task performance were also obtained and their amplitude and latency measures were assessed. Results showed that individuals with better behavioral performance had a higher synchronization between both hemispheres during rest as well as higher amplitude and shorter latencies of N2 and P3. Principal Component Analysis revealed that alpha2 AP and RP were inversely related to P2 and N2 latency. Higher values of alpha1 and alpha2 rTER were clustered with higher P3 amplitude and shorter reaction time. In conclusion, the differences in the cortical organization of HP and LP at rest (EEG) seem to be associated to the way the brain reacts during information processing (ERPs).

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Year:  2004        PMID: 15331216     DOI: 10.1016/j.ijpsycho.2004.05.008

Source DB:  PubMed          Journal:  Int J Psychophysiol        ISSN: 0167-8760            Impact factor:   2.997


  4 in total

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Journal:  Front Psychol       Date:  2017-07-31

3.  Relationships between the resting-state network and the P3: Evidence from a scalp EEG study.

Authors:  Fali Li; Tiejun Liu; Fei Wang; He Li; Diankun Gong; Rui Zhang; Yi Jiang; Yin Tian; Daqing Guo; Dezhong Yao; Peng Xu
Journal:  Sci Rep       Date:  2015-10-12       Impact factor: 4.379

4.  Normalization of Pain-Evoked Neural Responses Using Spontaneous EEG Improves the Performance of EEG-Based Cross-Individual Pain Prediction.

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Journal:  Front Comput Neurosci       Date:  2016-04-13       Impact factor: 2.380

  4 in total

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