Resting-State Functional Networks Correlate with Motor Performance in a Complex Visuomotor Task: An EEG Microstate Pilot Study on Healthy Individuals

被引:4
作者
Penalver-Andres, Joaquin A. A. [1 ,2 ]
Buetler, Karin A. A. [1 ]
Koenig, Thomas [3 ]
Mueri, Rene M. [4 ,5 ,6 ]
Marchal-Crespo, Laura [1 ,7 ]
机构
[1] Univ Bern, ARTORG Ctr Biomed Engn Res, Motor Learning & Neurorehabil Lab, Bern, Switzerland
[2] Univ Bern, Bern Univ Hosp, Dept Neurol, Psychosomat Med, Bern, Switzerland
[3] Univ Bern, Univ Hosp Psychiat, Translat Res Ctr, Bern, Switzerland
[4] Bern Univ Hosp, Univ Bern, Dept Biomed Res DBMR, Bern, Switzerland
[5] Bern Univ Hosp, Univ Bern, Dept Neurol, Inselspital, Bern, Switzerland
[6] Univ Bern, ARTORG Ctr Biomed Engn Res, Gerontechnol & Rehabil Grp, Bern, Switzerland
[7] Delft Univ Technol, Dept Cognit Robot, Delft, Netherlands
基金
瑞士国家科学基金会;
关键词
Resting-state; Functional connectivity; Electroencephalography (EEG); Microstates; Correlation; Motor performance; DEFAULT MODE NETWORK; PREDICTS PERFORMANCE; EXTERNAL FOCUS; ATTENTION; BRAIN; CONNECTIVITY; MIND; ELECTROENCEPHALOGRAM; COORDINATION; OSCILLATIONS;
D O I
10.1007/s10548-022-00934-9
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Developing motor and cognitive skills is needed to achieve expert (motor) performance or functional recovery from a neurological condition, e.g., after stroke. While extensive practice plays an essential role in the acquisition of good motor performance, it is still unknown whether certain person-specific traits may predetermine the rate of motor learning. In particular, learners' functional brain organisation might play an important role in appropriately performing motor tasks. In this paper, we aimed to study how two critical cognitive brain networks-the Attention Network (AN) and the Default Mode Network (DMN)-affect the posterior motor performance in a complex visuomotor task: virtual surfing. We hypothesised that the preactivation of the AN would affect how participants divert their attention towards external stimuli, resulting in robust motor performance. Conversely, the excessive involvement of the DMN-linked to internally diverted attention and mind-wandering-would be detrimental for posterior motor performance. We extracted seven widely accepted microstates-representing participants mind states at rest-out of the Electroencephalography (EEG) resting-state recordings of 36 healthy volunteers, prior to execution of the virtual surfing task. By correlating neural biomarkers (microstates) and motor behavioural metrics, we confirmed that the preactivation of the posterior DMN was correlated with poor posterior performance in the motor task. However, we only found a non-significant association between AN preactivation and the posterior motor performance. In this EEG study, we propose the preactivation of the posterior DMN-imaged using EEG microstates-as a neural trait related to poor posterior motor performance. Our findings suggest that the role of the executive control system is to preserve an homeostasis between the AN and the DMN. Therefore, neurofeedback-based downregulation of DMN preactivation could help optimise motor training.
引用
收藏
页码:590 / 607
页数:18
相关论文
共 91 条
[1]   New developments in understanding skilled performance [J].
Ackerman, Phillip L. .
CURRENT DIRECTIONS IN PSYCHOLOGICAL SCIENCE, 2007, 16 (05) :235-239
[2]   EEG differences between eyes-closed and eyes-open resting conditions [J].
Barry, Robert J. ;
Clarke, Adam R. ;
Johnstone, Stuart J. ;
Magee, Christopher A. ;
Rushby, Jacqueline A. .
CLINICAL NEUROPHYSIOLOGY, 2007, 118 (12) :2765-2773
[3]   Haptic Training: Which Types Facilitate (re)Learning of Which Motor Task and for Whom? Answers by a Review [J].
Basalp, Ekin ;
Wolf, Peter ;
Marchal-Crespo, Laura .
IEEE TRANSACTIONS ON HAPTICS, 2021, 14 (04) :722-739
[4]   Electroencephalogram in humans [J].
Berger, H .
ARCHIV FUR PSYCHIATRIE UND NERVENKRANKHEITEN, 1929, 87 :527-570
[5]   Peculiarities of Functional Connectivity-including Cross-Modal Patterns-in Professional Karate Athletes: Correlations with Cognitive and Motor Performances [J].
Berti, Beatrice ;
Momi, Davide ;
Sprugnoli, Giulia ;
Neri, Francesco ;
Bonifazi, Marco ;
Rossi, Alessandro ;
Muscettola, Maria M. ;
Benocci, Roberto ;
Santarnecchi, Emiliano ;
Rossi, Simone .
NEURAL PLASTICITY, 2019, 2019
[6]   Baseline brain activity fluctuations predict somatosensory perception in humans [J].
Boly, M. ;
Balteau, E. ;
Schnakers, C. ;
Degueldre, C. ;
Moonen, G. ;
Luxen, A. ;
Phillips, C. ;
Peigneux, P. ;
Maquet, P. ;
Laureys, S. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2007, 104 (29) :12187-12192
[7]   BOLD correlates of EEG topography reveal rapid resting-state network dynamics [J].
Britz, Juliane ;
Van De Ville, Dimitri ;
Michel, Christoph M. .
NEUROIMAGE, 2010, 52 (04) :1162-1170
[8]   The brain's default network - Anatomy, function, and relevance to disease [J].
Buckner, Randy L. ;
Andrews-Hanna, Jessica R. ;
Schacter, Daniel L. .
YEAR IN COGNITIVE NEUROSCIENCE 2008, 2008, 1124 :1-38
[9]   Resting Interhemispheric Functional Magnetic Resonance Imaging Connectivity Predicts Performance after Stroke [J].
Carter, Alex R. ;
Astafiev, Serguei V. ;
Lang, Catherine E. ;
Connor, Lisa T. ;
Rengachary, Jennifer ;
Strube, Michael J. ;
Pope, Daniel L. W. ;
Shulman, Gordon L. ;
Corbetta, Maurizio .
ANNALS OF NEUROLOGY, 2010, 67 (03) :365-375
[10]   Resting-state electroencephalographic biomarkers of Alzheimer's disease [J].
Cecchetti, Giordano ;
Agosta, Federica ;
Basaia, Silvia ;
Cividini, Camilla ;
Cursi, Marco ;
Santangelo, Roberto ;
Caso, Francesca ;
Minicucci, Fabio ;
Magnani, Giuseppe ;
Filippi, Massimo .
NEUROIMAGE-CLINICAL, 2021, 31