Simultaneous encoding of speed, distance, and direction in discrete reaching: an EEG study

<i>Objective.</i>The complicated processes of carrying out a hand reach are still far from fully understood. In order to further the understanding of the kinematics of hand movement, the simultaneous representation of speed, distance, and direction in the brain is explored.<i>Approach.</i>We utilized electroencephalography (EEG) signals and hand position recorded during a four-direction center-out reaching task with either quick or slow speed, near and far distance. Linear models were employed in two modes: decoding and encoding. First, to test the discriminability of speed, distance, and direction. Second, to find the contribution of the cortical sources via the source localization. Additionally, we compared the decoding accuracy when using features obtained from EEG signals and source-localized EEG signals based on the results from the encoding model.<i>Main results.</i>Speed, distance, and direction can be classified better than chance. The accuracy of the speed was also higher than the distance, indicating a stronger representation of the speed than the distance. The speed and distance showed similar significant sources in the central regions related to the movement initiation, while the direction indicated significant sources in the parieto-occipital regions related to the movement preparation. The combination of the features from EEG and source localized signals improved the classification.<i>Significance.</i>Directional and non-directional information are represented in two separate networks. The quick movement resulted in improvement in the direction classification. Our results enhance our understanding of hand movement in the brain and help us make informed decisions when designing an improved paradigm in the future.

Authors

Institutions

Publication Details

Journal
Journal of Neural Engineering
Published
2024-12-01
DOI
https://doi.org/10.1088/1741-2552/ada0ea
Citations
1
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.34
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simultaneous encoding of speed, distance, and direction in discrete reaching: an EEG study

Nitikorn Srisrisawang, Gernot Müller-Putz
1 citations
Journal of Neural Engineering
EEG and Brain-Computer Interfaces
0.34
article

Simultaneous encoding of speed, distance, and direction in discrete reaching: an EEG study

Nitikorn Srisrisawang, Gernot Müller-Putz
article en
1 citations

Abstract

<i>Objective.</i>The complicated processes of carrying out a hand reach are still far from fully understood. In order to further the understanding of the kinematics of hand movement, the simultaneous representation of speed, distance, and direction in the brain is explored.<i>Approach.</i>We utilized electroencephalography (EEG) signals and hand position recorded during a four-direction center-out reaching task with either quick or slow speed, near and far distance. Linear models were employed in two modes: decoding and encoding. First, to test the discriminability of speed, distance, and direction. Second, to find the contribution of the cortical sources via the source localization. Additionally, we compared the decoding accuracy when using features obtained from EEG signals and source-localized EEG signals based on the results from the encoding model.<i>Main results.</i>Speed, distance, and direction can be classified better than chance. The accuracy of the speed was also higher than the distance, indicating a stronger representation of the speed than the distance. The speed and distance showed similar significant sources in the central regions related to the movement initiation, while the direction indicated significant sources in the parieto-occipital regions related to the movement preparation. The combination of the features from EEG and source localized signals improved the classification.<i>Significance.</i>Directional and non-directional information are represented in two separate networks. The quick movement resulted in improvement in the direction classification. Our results enhance our understanding of hand movement in the brain and help us make informed decisions when designing an improved paradigm in the future.

Journal of Neural EngineeringVol. 21(6)
Graz University of Technology (AT), BioTechMed-Graz (AT)
Reduced inequalities
Openalex Percentile: Top 38%
EEG and Brain-Computer Interfaces
0.34
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Simultaneous encoding of speed, distance, and direction in discrete reaching: an EEG study — Nitikorn Srisrisawang, Gernot Müller-Putz · Journal of Neural Engineering (2024) | TGRS Research Map | TGRS