Multivariate EEG spectral analysis evidences the functional link between motor and visual cortex during integrative sensorimotor tasks

被引:17
作者
Erla, Silvia [1 ,2 ,3 ]
Faes, Luca [2 ,3 ]
Nollo, Giandomenico [2 ,3 ]
Arfeller, Carola [1 ,4 ]
Braun, Christoph [1 ,4 ]
Papadelis, Christos [1 ]
机构
[1] Univ Trent, Lab Funct Neuroimaging, Ctr Mind Brain Sci CIMeC, I-38123 Trento, Italy
[2] Univ Trent, Biophys & Biosignals Lab, Dept Phys, I-38123 Trento, Italy
[3] Univ Trent, BIOtech, I-38123 Trento, Italy
[4] Univ Tubingen, MEG Ctr, D-72076 Tubingen, Germany
关键词
Functional connectivity; Visuomotor integration; EEG; Power; Coherence; COHERENCE; BRAIN; SYNCHRONIZATION; GAMMA;
D O I
10.1016/j.bspc.2011.08.002
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The identification of the networks connecting brain areas and the understanding of their role in executing complex tasks is a crucial issue in cognitive neuroscience. In this study, specific visuomotor tasks were devised to reveal the functional network underlying the cooperation process between visual and motor regions. Electroencephalography (EEG) data were recorded from twelve healthy subjects during a combined visuomotor task, which integrated precise grip motor commands with sensory visual feedback (VM). This condition was compared with control tasks involving pure motor action (M), pure visual perception (V) and visuomotor performance without feedback (V + M). Multivariate parametric cross-spectral analysis was applied to ten EEG derivations in each subject to assess changes in the oscillatory activity of the involved cortical regions and quantify their coupling. Spectral decomposition was applied to precisely and objectively determine the power associated with each oscillatory component of the spectrum, while surrogate data analysis was performed to assess the statistical significance of estimated coherence values. A significant decrease of the alpha and/or beta power in EEG spectra with respect to rest values was assumed as indicative of specific cortical area activation during task execution. Indeed alpha band coherence increased in proximity of task-involved areas, while it was suppressed or remained unchanged in other regions, suggesting the activation of a specific network for each task. According to our coherence analysis, a direct link between visual and motor areas was activated during V + M and VM tasks. The effect of visual feedback was evident in the beta band, where the increase of coherence was observed only during the VM task. Multivariate analysis suggested the presence of a functional link between motor and visual cortex subserving sensorimotor integration. Furthermore, network activation was related to the sum of single task (M and V) local effects in the alpha band, and to the presence of visual feedback in the beta band. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:221 / 227
页数:7
相关论文
共 23 条
  • [1] Functional frontoparietal connectivity during encoding and retrieval processes follows HERA model - A high-resolution study
    Babiloni, C
    Vecchio, F
    Cappa, S
    Pasqualetti, P
    Rossi, S
    Miniussi, C
    Rossini, PM
    [J]. BRAIN RESEARCH BULLETIN, 2006, 68 (04) : 203 - 212
  • [2] Partial directed coherence:: a new concept in neural structure determination
    Baccalá, LA
    Sameshima, K
    [J]. BIOLOGICAL CYBERNETICS, 2001, 84 (06) : 463 - 474
  • [3] Spectral decomposition in multichannel recordings based on multivariate parametric identification
    Baselli, G
    Porta, A
    Rimoldi, O
    Pagani, M
    Cerutti, S
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 1997, 44 (11) : 1092 - 1101
  • [4] Integrative visuomotor behavior is associated with interregionally coherent oscillations in the human brain
    Classen, J
    Gerloff, C
    Honda, M
    Hallett, M
    [J]. JOURNAL OF NEUROPHYSIOLOGY, 1998, 79 (03) : 1567 - 1573
  • [5] Multisensory perception: Beyond modularity and convergence
    Driver, J
    Spence, C
    [J]. CURRENT BIOLOGY, 2000, 10 (20) : R731 - R735
  • [6] ERLA S, 2009, INT J BIOELECTROMAG, V11, P74
  • [7] Surrogate data analysis for assessing the significance of the coherence function
    Faes, L
    Pinna, GD
    Porta, A
    Maestri, R
    Nollo, G
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2004, 51 (07) : 1156 - 1166
  • [8] Faes L, 2011, BIOMEDICAL ENGINEERING TRENDS IN ELECTRONICS, COMMUNICATIONS AND SOFTWARE, P403
  • [9] Friston Karl J., 1994, Human Brain Mapping, V2, P56, DOI 10.1002/hbm.460020107
  • [10] HOLM S, 1979, SCAND J STAT, V6, P65