Using graph theoretical analysis of multi channel EEG to evaluate the neural efficiency hypothesis
暂无分享,去创建一个
[1] C. Stam,et al. Small-world networks and functional connectivity in Alzheimer's disease. , 2006, Cerebral cortex.
[2] Olaf Sporns,et al. The small world of the cerebral cortex , 2007, Neuroinformatics.
[3] Christa Neuper,et al. Intelligence and neural efficiency: further evidence of the influence of task content and sex on the brain-IQ relationship. , 2005, Brain research. Cognitive brain research.
[4] Manuel Schabus,et al. Fronto-parietal EEG coherence in theta and upper alpha reflect central executive functions of working memory. , 2005, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[5] Fatihcan M Atay,et al. Graph operations and synchronization of complex networks. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.
[6] W. Klimesch,et al. Intelligence related differences in EEG-bandpower , 2005, Neuroscience Letters.
[7] John D E Gabrieli,et al. The role of the prefrontal cortex in the maintenance of verbal working memory: an event-related FMRI analysis. , 2005, Neuropsychology.
[8] John E. Desmond,et al. Load- and practice-dependent increases in cerebro-cerebellar activation in verbal working memory: an fMRI study , 2005, NeuroImage.
[9] G. Cecchi,et al. Scale-free brain functional networks. , 2003, Physical review letters.
[10] O. Sporns,et al. Organization, development and function of complex brain networks , 2004, Trends in Cognitive Sciences.
[11] Eduardo Aubert,et al. Specific EEG frequencies signal general common cognitive processes as well as specific task processes in man. , 2004, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[12] C Neuper,et al. Intelligence and working memory systems: evidence of neural efficiency in alpha band ERD. , 2004, Brain research. Cognitive brain research.
[13] Jens F. Beckmann,et al. Intelligence and individual differences in becoming neurally efficient. , 2004, Acta psychologica.
[14] G. Buzsáki,et al. Interneuron Diversity series: Circuit complexity and axon wiring economy of cortical interneurons , 2004, Trends in Neurosciences.
[15] C. J. Stam,et al. Functional connectivity patterns of human magnetoencephalographic recordings: a ‘small-world’ network? , 2004, Neuroscience Letters.
[16] Aljoscha C. Neubauer,et al. Fluid intelligence and neural efficiency: effects of task complexity and sex , 2003 .
[17] Hidenao Fukuyama,et al. The neural basis of individual differences in working memory capacity: an fMRI study , 2003, NeuroImage.
[18] Roberto Colom,et al. Working memory and intelligence , 2003 .
[19] Vinod Menon,et al. Functional connectivity in the resting brain: A network analysis of the default mode hypothesis , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[20] C. Stam,et al. Synchronization likelihood: an unbiased measure of generalized synchronization in multivariate data sets , 2002 .
[21] M. D’Esposito,et al. The Influence of Working-Memory Demand and Subject Performance on Prefrontal Cortical Activity , 2002, Journal of Cognitive Neuroscience.
[22] Martin Suter,et al. Small World , 2002 .
[23] J. Martinerie,et al. The brainweb: Phase synchronization and large-scale integration , 2001, Nature Reviews Neuroscience.
[24] S. Strogatz. Exploring complex networks , 2001, Nature.
[25] G Tononi,et al. Theoretical neuroanatomy: relating anatomical and functional connectivity in graphs and cortical connection matrices. , 2000, Cerebral cortex.
[26] Claus Lamm,et al. Differences in the ability to process a visuo-spatial task are reflected in event-related slow cortical potentials of human subjects , 1999, Neuroscience Letters.
[27] E. Basar,et al. Are cognitive processes manifested in event-related gamma, alpha, theta and delta oscillations in the EEG? , 1999, Neuroscience Letters.
[28] Duncan J. Watts,et al. Collective dynamics of ‘small-world’ networks , 1998, Nature.
[29] M. Lowe,et al. Functional Connectivity in Single and Multislice Echoplanar Imaging Using Resting-State Fluctuations , 1998, NeuroImage.
[30] A. Jensen,et al. The g factor , 1996, Nature.
[31] M Leodolter,et al. Cortical activity of good and poor spatial test performers during spatial and verbal processing studied with Slow Potential Topography. , 1997, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[32] M. Buchsbaum,et al. Intelligence and changes in regional cerebral glucose metabolic rate following learning , 1992 .
[33] M. Buchsbaum,et al. Cortical glucose metabolic rate correlates of abstract reasoning and attention studied with positron emission tomography , 1988 .