Alpha and beta band power changes predict reaction time and endpoint error during planning reaching movements

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

4 Scopus Citations
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Author(s)

  • Lingling Yang
  • Howard Leung
  • Markus Plank
  • Joe Snider
  • Howard Poizner

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publicationProceedings - 2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages264-268
ISBN (Print)9781479958382
Publication statusPublished - 6 Jan 2015

Conference

Title2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014
PlaceChina
CityDalian
Period14 - 16 October 2014

Abstract

Reaching is one of the fundamental tasks in daily life thus the neural processing of such a task will benefit brain computer interface (BCI) development. Even the simplest reaching task results from a movement planning phase as well as a movement execution phase. To facilitate the neural decoding of human reaching, brain activity in both movement planning and execution phases should be investigated. Many related studies focused on the correlation between movement kinematics and brain activity during movement execution or imagery. In this paper, we studied whether particular reaching parameters were encoded in the brain activity recorded by high-density EEG during the movement planning phase. Alpha and beta power over ten brain regions during the movement planning phase were correlated with reaction time/endpoint error during execution. The planning phase was divided into 2 movement planning intervals: 1) [0 250]ms and 2) [250 500]ms, with respect to the target onset to study the temporal characteristics of the power changes. Our results show that the greater the increase of the alpha band power in the left frontal region and the smaller the decrease of the beta band power in the right frontal region in the movement planning interval 2, the longer is the reaction time. A decrease of the beta band power in the motor and frontal regions from the two planning intervals correspond to a higher endpoint error. Moreover, higher alpha band power in the movement planning interval 2 over left parietal regions was related to smaller endpoint errors.

Research Area(s)

  • Alpha and beta band powers, EEG, Endpoint error, Movement planning, Reaction time

Citation Format(s)

Alpha and beta band power changes predict reaction time and endpoint error during planning reaching movements. / Yang, Lingling; Leung, Howard; Plank, Markus; Snider, Joe; Poizner, Howard.

Proceedings - 2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014. Institute of Electrical and Electronics Engineers Inc., 2015. p. 264-268 7002782.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review