Decoding continuous goal-directed movement from human brain-wide intracranial recordings

Reaching out your hand is an effortless yet complex behavior that is indispensable in daily life. Neural correlates of reaching behavior have been observed and decoded beyond the motor cortex, but the degree and granularity of movement representation are not fully understood. Here, we decode 12 kinematics of goal-directed reaching behavior from 18 participants implanted with stereotactic-electroencephalography electrodes performing a 3D reaching task. The decoder is able to decode continuous movement kinematics using low-, mid-, and high-frequency information in all participants using preferential subspace identification. Neural correlates of movements are observed throughout the brain, including deeper structures. Switching to a goal-centric reference frame enables the decoder to decode hand position, indicating that low-frequency activity is involved in higher-order processing of movements. Our results strengthen the evidence that brain-wide motor-related dynamics can be decoded and may provide opportunities for brain-computer interfaces for individuals with a compromised motor cortex.

Authors

Institutions

Publication Details

Journal
Cell Reports
Published
2025-09-23
DOI
https://doi.org/10.1016/j.celrep.2025.116328
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Decoding continuous goal-directed movement from human brain-wide intracranial recordings

Maxime Verwoert, Simon Tousseyn, Maarten C. Ottenhoff, Omid G. Sani et al.
Cell Reports
EEG and Brain-Computer Interfaces
article

Decoding continuous goal-directed movement from human brain-wide intracranial recordings

Maxime Verwoert, Simon Tousseyn, Maarten C. Ottenhoff, Omid G. Sani, Sophocles Goulis, Maryam M. Shanechi, Christian Herff, Pieter Kubben, Johannes van Dijk
article en

Abstract

Reaching out your hand is an effortless yet complex behavior that is indispensable in daily life. Neural correlates of reaching behavior have been observed and decoded beyond the motor cortex, but the degree and granularity of movement representation are not fully understood. Here, we decode 12 kinematics of goal-directed reaching behavior from 18 participants implanted with stereotactic-electroencephalography electrodes performing a 3D reaching task. The decoder is able to decode continuous movement kinematics using low-, mid-, and high-frequency information in all participants using preferential subspace identification. Neural correlates of movements are observed throughout the brain, including deeper structures. Switching to a goal-centric reference frame enables the decoder to decode hand position, indicating that low-frequency activity is involved in higher-order processing of movements. Our results strengthen the evidence that brain-wide motor-related dynamics can be decoded and may provide opportunities for brain-computer interfaces for individuals with a compromised motor cortex.

Cell ReportsVol. 44(10)
University of Southern California (US), Maastricht University (NL), Kempenhaeghe (NL)
Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Stichting De Weijerhorst
Openalex Percentile: Top 74%
EEG and Brain-Computer Interfaces
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.

Decoding continuous goal-directed movement from human brain-wide intracranial recordings — Maxime Verwoert, Simon Tousseyn, et al. · Cell Reports (2025) | TGRS Research Map | TGRS