A glimpse into your vision

被引:8
作者
Gonzalez Andino, Sara L.
de Peralta, Rolando Grave
Khateb, Asaid
Pegna, Alan J.
Thut, Gregor
Landis, Theodor
机构
[1] Univ Hosp Geneva, Dept Neurol, Elect Neuroimaging Grp, CH-1211 Geneva 14, Switzerland
[2] Univ Hosp Geneva, Dept Neurol, Geneva, Switzerland
[3] Univ Hosp Geneva, Dept Neurol, Lab Expt Neuropsychol, Geneva, Switzerland
[4] Univ Hosp Geneva, Dept Neurol, Neuropsychol Unit, Geneva, Switzerland
[5] Univ Geneva, Dept Neurol, Human Brain Mapping Lab, CH-1211 Geneva 4, Switzerland
[6] Univ Geneva, Dept Fundamental Neurosci, CH-1211 Geneva 4, Switzerland
关键词
EEG; LFP; Inverse solutions; oscillations; pattern recognition; decoding; ELECTRA; brain rhythms; GAMMA ACTIVITY; NEURONAL OSCILLATIONS; BRAIN MECHANISMS; MONKEY; BAND; SYNCHRONIZATION; ACTIVATION; PREDICTION; RESPONSES; DYNAMICS;
D O I
10.1002/hbm.20302
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Invasive recordings of local field potentials (LFPs) have been used to "read the mind" of monkeys in real time. Here we investigated whether noninvasive field potentials estimated from the scalp-recorded electroencephalogram (EEG) using the ELECTRA source localization algorithm could provide real-time decoding of mental states in healthy humans. By means of pattern recognition techniques on 500-ms EEG epochs, we were able to discriminate accurately from single trials which of four categories of visual stimuli the subjects were viewing. Our results show that it is possible to reproduce the decoding accuracy previously obtained in animals with invasive recordings. A comparison between the decoding results and the subjects' behavioral performance indicates that oscillatory activity (OA), elicited in specific brain regions) codes better for the visual stimulus category presented than the subjects' actual response, i.e., is insensitive to voluntary or involuntary errors. The identification of brain regions participating in the decoding process allowed us to construct 3D-functional images of the task-related OA. These images revealed the activation of brain regions known for their involvement in the processing of this type of visual stimuli. Electrical neuroimaging therefore appears to have the potential to establish what the brain is processing while the stimuli are being seen or categorized, i.e., concurrently with sensory-perceptual processes.
引用
收藏
页码:614 / 624
页数:11
相关论文
共 48 条
  • [21] Dynamics of brain activation during an explicit word and image recognition task: An electrophysiological study
    Khateb, A
    Pegna, AJ
    Michel, CM
    Landis, T
    Annoni, JM
    [J]. BRAIN TOPOGRAPHY, 2002, 14 (03) : 197 - 213
  • [22] New insights into the Stroop effect: a spatiotemporal analysis of electric brain activity
    Khateb, A
    Michel, CM
    Pegna, AJ
    Landis, T
    Annoni, JM
    [J]. NEUROREPORT, 2000, 11 (09) : 1849 - 1855
  • [23] Phase-locked alpha and theta oscillations generate the P1-N1 complex and are related to memory performance
    Klimesch, W
    Schack, B
    Schabus, M
    Doppelmayr, M
    Gruber, W
    Sauseng, P
    [J]. COGNITIVE BRAIN RESEARCH, 2004, 19 (03): : 302 - 316
  • [24] The many faces of the gamma band response to complex visual stimuli
    Lachaux, JP
    George, N
    Tallon-Baudry, C
    Martinerie, J
    Hugueville, L
    Minotti, L
    Kahane, P
    Renault, B
    [J]. NEUROIMAGE, 2005, 25 (02) : 491 - 501
  • [25] Neurophysiological investigation of the basis of the fMRI signal
    Logothetis, NK
    Pauls, J
    Augath, M
    Trinath, T
    Oeltermann, A
    [J]. NATURE, 2001, 412 (6843) : 150 - 157
  • [26] Dynamic brain sources of visual evoked responses
    Makeig, S
    Westerfield, M
    Jung, TP
    Enghoff, S
    Townsend, J
    Courchesne, E
    Sejnowski, TJ
    [J]. SCIENCE, 2002, 295 (5555) : 690 - 694
  • [27] Inference of hand movements from local field potentials in monkey motor cortex
    Mehring, C
    Rickert, J
    Vaadia, E
    de Oliveira, SC
    Aertsen, A
    Rotter, S
    [J]. NATURE NEUROSCIENCE, 2003, 6 (12) : 1253 - 1254
  • [28] Menendez RGD, 2000, HUM BRAIN MAPP, V9, P1
  • [29] Electrical neuroimaging based on biophysical constraints
    Menendez, RGD
    Murray, MM
    Michel, CM
    Martuzzi, R
    Andino, SLG
    [J]. NEUROIMAGE, 2004, 21 (02) : 527 - 539
  • [30] Spatial and temporal limits in cognitive neuroimaging with fMRI
    Menon, RS
    Kim, SG
    [J]. TRENDS IN COGNITIVE SCIENCES, 1999, 3 (06) : 207 - 216