Towards a Biomarker of Motor Adaptation: Integration of Kinematic and Neural Factors

Erika Molteni, Veronica Cimolin, Ezio Preatoni, Renato Rodano, Manuela Galli, Anna M. Bianchi

Research output: Contribution to journalArticle

  • 10 Citations

Abstract

We propose an experimental protocol for the integrated study of motor adaptation during target-based movements. We investigated how motor adaptation affects both cerebral activity and motor performance during the preparation and execution of a pointing task, under different conditions of external perturbation. Electroencephalography (EEG) and movement analysis were simultaneously recorded from 16 healthy subjects enrolled in the study. EEG signal was preprocessed by means of independent component analysis and empirical mode decomposition based Hilbert Huang transform, in order to extract event-related synchronization (ERS) and desynchronization (ERD) parameters. Movement analysis provided several kinematic indexes, such as movement durations, average jerk, and inter-quartile-ranges. Significant correlations between score, neural, and kinematic parameters were found. Specifically, the duration of the going phase of movement was found to correlate with synchronization in the beta brain rhythm, in both the planning and executive phases of movement. Inter-quartile ranges and average jerk showed correlations with executive brain parameters and ERS/ERDcueBeta, respectively. Results indicate the presence of links between the primary motor cortex and the farthest ending point of the upper limb. In the present study, we assessed significant relationship between neural and kinematic descriptors of motor adaptation, during a protocol requiring short-term learning, through the modulation of the external perturbations.
LanguageEnglish
Pages258-267
JournalIEEE Transactions on Neural Systems and Rehabilitation Engineering
Volume20
Issue number3
DOIs
StatusPublished - 1 May 2012

Fingerprint

Biomarkers
Biomechanical Phenomena
Kinematics
Electroencephalography
Beta Rhythm
Synchronization
Motor Cortex
Brain
Upper Extremity
Healthy Volunteers
Motor Activity
Learning
Independent component analysis
Modulation
Decomposition
Planning

Cite this

Towards a Biomarker of Motor Adaptation: Integration of Kinematic and Neural Factors. / Molteni, Erika; Cimolin, Veronica; Preatoni, Ezio; Rodano, Renato; Galli, Manuela; Bianchi, Anna M.

In: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 20, No. 3, 01.05.2012, p. 258-267.

Research output: Contribution to journalArticle

Molteni, Erika ; Cimolin, Veronica ; Preatoni, Ezio ; Rodano, Renato ; Galli, Manuela ; Bianchi, Anna M./ Towards a Biomarker of Motor Adaptation: Integration of Kinematic and Neural Factors. In: IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2012 ; Vol. 20, No. 3. pp. 258-267
@article{17cb8bdf7c6c46a5a973b2918622ba3b,
title = "Towards a Biomarker of Motor Adaptation: Integration of Kinematic and Neural Factors",
abstract = "We propose an experimental protocol for the integrated study of motor adaptation during target-based movements. We investigated how motor adaptation affects both cerebral activity and motor performance during the preparation and execution of a pointing task, under different conditions of external perturbation. Electroencephalography (EEG) and movement analysis were simultaneously recorded from 16 healthy subjects enrolled in the study. EEG signal was preprocessed by means of independent component analysis and empirical mode decomposition based Hilbert Huang transform, in order to extract event-related synchronization (ERS) and desynchronization (ERD) parameters. Movement analysis provided several kinematic indexes, such as movement durations, average jerk, and inter-quartile-ranges. Significant correlations between score, neural, and kinematic parameters were found. Specifically, the duration of the going phase of movement was found to correlate with synchronization in the beta brain rhythm, in both the planning and executive phases of movement. Inter-quartile ranges and average jerk showed correlations with executive brain parameters and ERS/ERDcueBeta, respectively. Results indicate the presence of links between the primary motor cortex and the farthest ending point of the upper limb. In the present study, we assessed significant relationship between neural and kinematic descriptors of motor adaptation, during a protocol requiring short-term learning, through the modulation of the external perturbations.",
author = "Erika Molteni and Veronica Cimolin and Ezio Preatoni and Renato Rodano and Manuela Galli and Bianchi, {Anna M.}",
year = "2012",
month = "5",
day = "1",
doi = "10.1109/TNSRE.2012.2189585",
language = "English",
volume = "20",
pages = "258--267",
journal = "IEEE Transactions on Neural Systems and Rehabilitation Engineering",
issn = "1534-4320",
publisher = "IEEE",
number = "3",

}

TY - JOUR

T1 - Towards a Biomarker of Motor Adaptation: Integration of Kinematic and Neural Factors

AU - Molteni,Erika

AU - Cimolin,Veronica

AU - Preatoni,Ezio

AU - Rodano,Renato

AU - Galli,Manuela

AU - Bianchi,Anna M.

PY - 2012/5/1

Y1 - 2012/5/1

N2 - We propose an experimental protocol for the integrated study of motor adaptation during target-based movements. We investigated how motor adaptation affects both cerebral activity and motor performance during the preparation and execution of a pointing task, under different conditions of external perturbation. Electroencephalography (EEG) and movement analysis were simultaneously recorded from 16 healthy subjects enrolled in the study. EEG signal was preprocessed by means of independent component analysis and empirical mode decomposition based Hilbert Huang transform, in order to extract event-related synchronization (ERS) and desynchronization (ERD) parameters. Movement analysis provided several kinematic indexes, such as movement durations, average jerk, and inter-quartile-ranges. Significant correlations between score, neural, and kinematic parameters were found. Specifically, the duration of the going phase of movement was found to correlate with synchronization in the beta brain rhythm, in both the planning and executive phases of movement. Inter-quartile ranges and average jerk showed correlations with executive brain parameters and ERS/ERDcueBeta, respectively. Results indicate the presence of links between the primary motor cortex and the farthest ending point of the upper limb. In the present study, we assessed significant relationship between neural and kinematic descriptors of motor adaptation, during a protocol requiring short-term learning, through the modulation of the external perturbations.

AB - We propose an experimental protocol for the integrated study of motor adaptation during target-based movements. We investigated how motor adaptation affects both cerebral activity and motor performance during the preparation and execution of a pointing task, under different conditions of external perturbation. Electroencephalography (EEG) and movement analysis were simultaneously recorded from 16 healthy subjects enrolled in the study. EEG signal was preprocessed by means of independent component analysis and empirical mode decomposition based Hilbert Huang transform, in order to extract event-related synchronization (ERS) and desynchronization (ERD) parameters. Movement analysis provided several kinematic indexes, such as movement durations, average jerk, and inter-quartile-ranges. Significant correlations between score, neural, and kinematic parameters were found. Specifically, the duration of the going phase of movement was found to correlate with synchronization in the beta brain rhythm, in both the planning and executive phases of movement. Inter-quartile ranges and average jerk showed correlations with executive brain parameters and ERS/ERDcueBeta, respectively. Results indicate the presence of links between the primary motor cortex and the farthest ending point of the upper limb. In the present study, we assessed significant relationship between neural and kinematic descriptors of motor adaptation, during a protocol requiring short-term learning, through the modulation of the external perturbations.

UR - http://www.scopus.com/inward/record.url?scp=84861492566&partnerID=8YFLogxK

UR - http://dx.doi.org/10.1109/TNSRE.2012.2189585

U2 - 10.1109/TNSRE.2012.2189585

DO - 10.1109/TNSRE.2012.2189585

M3 - Article

VL - 20

SP - 258

EP - 267

JO - IEEE Transactions on Neural Systems and Rehabilitation Engineering

T2 - IEEE Transactions on Neural Systems and Rehabilitation Engineering

JF - IEEE Transactions on Neural Systems and Rehabilitation Engineering

SN - 1534-4320

IS - 3

ER -