The folding fingerprint of visual cortex reveals the timing of human V1 and V2

被引:28
作者
Ales, Justin [1 ]
Carney, Thom [1 ]
Klein, Stanley A. [1 ]
机构
[1] Univ Calif Berkeley, Berkeley, CA 94720 USA
关键词
EEG SOURCE LOCALIZATION; FMRI; MEG; RESOLUTION; AREAS; FIELD; VEP; REPRESENTATIONS; ORGANIZATION; POTENTIALS;
D O I
10.1016/j.neuroimage.2009.09.022
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Primate neocortex contains over 30 visual areas Recent techniques such as functional magnetic resonance imaging (fMRI), have successfully identified many of these areas in the human brain, but have been of limited value for revealing the temporal dynamics between Visual areas The electroencephalogram (EEC) provides information with NO temporal precision, but has had limited success separating out the signals from individual neighboring cortical areas. Consequently, controversies exist over the temporal dynamics across cortical areas. In order to address this problem we developed a new method to identify the sources of the EEG. An individual's Unique cortical pattern of sulci and gyri along with a Visual area's functional retinotopic layout provides a folding fingerprint that predicts specific scalp topographies for stimuli presented in different parts of the visual field. Using this folding fingerprint with a 96 or 192 location stimulus severely constrains the solution space making it relatively easy to extract the temporal response of multiple Visual areas to multiple stimulus locations. The large number Of stimuli also provides a means to validate the waveforms by comparing across Stimulus sets, an important feature not present in most EEG source identification Procedures Using this method Our data reveal that both Vi and V2 waveforms have similar onset latencies, and their temporal dynamics provide new information regarding the response latencies of these areas in humans. Our method enables the previously unattainable separation of EEG responses from neighboring brain areas. While we applied the method to the first two cortical visual areas, V1 and V2, this method is also applicable to somatosensory areas that have defined mappings This method provides a means to Study the rapid information flow in the human brain to reveal top-down and bottom-up cognitive processes. (C) 2009 Elsevier Inc All rights reserved
引用
收藏
页码:2494 / 2502
页数:9
相关论文
共 39 条
[1]  
[Anonymous], 2005, Electric fields of the brain: The neurophysics of eeg
[2]  
[Anonymous], 1994, HUM BRAIN MAPP, DOI 10.1002/hbm.460020306
[3]   Evaluation of inverse methods and head models for EEG source localization using a human skull phantom [J].
Baillet, S ;
Riera, JJ ;
Marin, G ;
Mangin, JF ;
Aubert, J ;
Garnero, L .
PHYSICS IN MEDICINE AND BIOLOGY, 2001, 46 (01) :77-96
[4]   Localizing sites of activation in primary visual cortex using visual-evoked potentials and functional magnetic resonance imaging [J].
Baker, Suzanne ;
Baseler, Heidi ;
Klein, Stanley ;
Carney, Thom .
JOURNAL OF CLINICAL NEUROPHYSIOLOGY, 2006, 23 (05) :404-415
[5]   M and P components of the VEP and their visual field distribution [J].
Baseler, HA ;
Sutter, EE .
VISION RESEARCH, 1997, 37 (06) :675-690
[6]  
Baseler HA, 1999, J NEUROSCI, V19, P2619
[7]   Advances in multifocal methods for imaging human brain activity [J].
Carney, Thom ;
Ales, Justin ;
Klein, Stanley A. .
HUMAN VISION AND ELECTRONIC IMAGING XI, 2006, 6057
[8]   Dynamic statistical parametric mapping: Combining fMRI and MEG for high-resolution imaging of cortical activity [J].
Dale, AM ;
Liu, AK ;
Fischl, BR ;
Buckner, RL ;
Belliveau, JW ;
Lewine, JD ;
Halgren, E .
NEURON, 2000, 26 (01) :55-67
[9]   Cortical surface-based analysis - I. Segmentation and surface reconstruction [J].
Dale, AM ;
Fischl, B ;
Sereno, MI .
NEUROIMAGE, 1999, 9 (02) :179-194
[10]   Methods for quantifying intra- and inter-subject variability of evoked potential data applied to the multifocal visual evoked potential [J].
Dandekar, Sangita ;
Ales, Justin ;
Carney, Thom ;
Klein, Stanley A. .
JOURNAL OF NEUROSCIENCE METHODS, 2007, 165 (02) :270-286