Cerebral Blood Flow during Rest Associates with General Intelligence and Creativity
暂无分享,去创建一个
Yasuyuki Taki | Yuko Sassa | Ryuta Kawashima | Hikaru Takeuchi | Rui Nouchi | Hiroshi Hashizume | Tomomi Nagase | R. Kawashima | H. Takeuchi | Y. Taki | R. Nouchi | H. Hashizume | Y. Sassa | T. Nagase
[1] A. Flaherty. Frontotemporal and dopaminergic control of idea generation and creative drive , 2005, The Journal of comparative neurology.
[2] Gregory A. Miller,et al. Neuropsychological evidence for dimensional schizotypy: Implications for creativity and psychopathology , 2004 .
[3] E. Paul Torrance,et al. The Torrance Tests of Creative Thinking , 2012 .
[4] Wm. R. Wright. General Intelligence, Objectively Determined and Measured. , 1905 .
[5] C. Beaulieu,et al. The basis of anisotropic water diffusion in the nervous system – a technical review , 2002, NMR in biomedicine.
[6] Teresa M. Amabile,et al. ? + ? = creativity. , 2018, Public health nursing.
[7] R. C. Oldfield. The assessment and analysis of handedness: the Edinburgh inventory. , 1971, Neuropsychologia.
[8] J. Raven,et al. Manual for Raven's progressive matrices and vocabulary scales , 1962 .
[9] R. Quarles. Myelin sheaths: glycoproteins involved in their formation, maintenance and degeneration , 2002, Cellular and Molecular Life Sciences CMLS.
[10] R. Cabeza,et al. Imaging Cognition II: An Empirical Review of 275 PET and fMRI Studies , 2000, Journal of Cognitive Neuroscience.
[11] O Sabri,et al. Neuropsychological impairment correlates with hypoperfusion and hypometabolism but not with severity of white matter lesions on MRI in patients with cerebral microangiopathy. , 1999, Stroke.
[12] Shan Shen,et al. VBM lesion detection depends on the normalization template: a study using simulated atrophy. , 2007, Magnetic resonance imaging.
[13] Yasuyuki Taki,et al. Failing to deactivate: The association between brain activity during a working memory task and creativity , 2011, NeuroImage.
[14] Karl J. Friston,et al. Detecting Activations in PET and fMRI: Levels of Inference and Power , 1996, NeuroImage.
[15] Skyler Dean,et al. Mind's Eye , 1973 .
[16] Arthur W Toga,et al. Relationships between IQ and regional cortical gray matter thickness in healthy adults. , 2007, Cerebral cortex.
[17] J. Guilford,et al. The nature of human intelligence. , 1968 .
[18] Bruce Thompson,et al. Structure of the Torrance Tests of Creative Thinking , 1988 .
[19] J. P. Rushton,et al. Personality, research creativity, and teaching effectiveness in university professors , 1983, Scientometrics.
[20] H. Yamanouchi,et al. Decrease in nerve fibres in cerebral white matter in progressive subcortical vascular encephalopathy of binswanger type , 1989, Journal of Neurology.
[21] Kim Mouridsen,et al. The QUASAR reproducibility study, Part II: Results from a multi-center Arterial Spin Labeling test–retest study , 2010, NeuroImage.
[22] Barry Dainton,et al. Stream of Consciousness , 2000, Tragedy of the Commons (Poetry).
[23] S. Hayasaka,et al. Aging and the interaction of sensory cortical function and structure , 2009, Human brain mapping.
[24] Yasuyuki Taki,et al. Breakfast Staple Types Affect Brain Gray Matter Volume and Cognitive Function in Healthy Children , 2010, PloS one.
[25] M. Buchsbaum,et al. Cortical glucose metabolic rate correlates of abstract reasoning and attention studied with positron emission tomography , 1988 .
[26] Jeffrey R. Binder,et al. Interrupting the “stream of consciousness”: An fMRI investigation , 2006, NeuroImage.
[27] D. Schacter,et al. The Brain's Default Network , 2008, Annals of the New York Academy of Sciences.
[28] Yasuyuki Taki,et al. Effects of Training of Processing Speed on Neural Systems , 2011, The Journal of Neuroscience.
[29] Ruben C. Gur,et al. Differential effects of mood on cortical cerebral blood flow: A 133xenon clearance study , 1994, Psychiatry Research.
[30] Guy Marchal,et al. Automated multi-moda lity image registration based on information theory , 1995 .
[31] H. Yamanouchi. Loss of white matter oligodendrocytes and astrocytes in progressive subcortical vascular encephalopathy of Binswanger type , 1991, Acta neurologica Scandinavica.
[32] Y. Hsu,et al. Spatial normalization of fMRI results using study-based EPI and T1-weighted brain templates , 2007 .
[33] Tzu Chi. Spatial normalization of fMRI results using study-based EPI and T1-weighted brain templates , 2007 .
[34] K. Yamashita,et al. Simultaneous Measurement of Arterial Transit Time, Arterial Blood Volume, and Cerebral Blood Flow Using Arterial Spin-Labeling in Patients with Alzheimer Disease , 2009, American Journal of Neuroradiology.
[35] A. Neubauer,et al. Intelligence and neural efficiency: The influence of task content and sex on the brain–IQ relationship , 2002 .
[36] J. Callicott,et al. Age-related alterations in default mode network: Impact on working memory performance , 2010, Neurobiology of Aging.
[37] Rosa Aurora Chávez-Eakle,et al. Cerebral blood flow associated with creative performance: A comparative study , 2007, NeuroImage.
[38] G L Shulman,et al. INAUGURAL ARTICLE by a Recently Elected Academy Member:A default mode of brain function , 2001 .
[39] S. Debener,et al. Default-mode brain dysfunction in mental disorders: A systematic review , 2009, Neuroscience & Biobehavioral Reviews.
[40] X Golay,et al. Non-invasive Measurement of Perfusion: a Critical Review of Arterial Spin Labelling Techniques , 2022 .
[41] Jane,et al. The systemizing quotient : an investigation of adults with Asperger syndrome or high-functioning autism , and normal sex differences , 2003 .
[42] J. Gabrieli,et al. Hyperactivity and hyperconnectivity of the default network in schizophrenia and in first-degree relatives of persons with schizophrenia , 2009, Proceedings of the National Academy of Sciences.
[43] D. Ingvar,et al. Cognitive Reduction in Presenile Dementia Related to Regional Abnormalities of the Cerebral Blood Flow , 1976, British Journal of Psychiatry.
[44] Rex E. Jung,et al. Structural brain variation and general intelligence , 2004, NeuroImage.
[45] Hiroshi Fukuda,et al. Correlation between gray matter density‐adjusted brain perfusion and age using brain MR images of 202 healthy children , 2011, Human brain mapping.
[46] K. Heilman,et al. Creative Innovation: Possible Brain Mechanisms , 2003, Neurocase.
[47] Rex E. Jung,et al. Distributed brain sites for the g-factor of intelligence , 2006, NeuroImage.
[48] Yasuyuki Taki,et al. Regional gray matter volume of dopaminergic system associate with creativity: Evidence from voxel-based morphometry , 2010, NeuroImage.
[49] Simon Baron-Cohen,et al. The systemizing quotient: an investigation of adults with Asperger syndrome or high-functioning autism, and normal sex differences. , 2003, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[50] Esben Thade Petersen,et al. Model‐free arterial spin labeling quantification approach for perfusion MRI , 2006, Magnetic resonance in medicine.
[51] J. Guilford,et al. The One‐Way Relation Between Creative Potential and IQ , 1973 .
[52] Ramon Casanova,et al. Biological parametric mapping: A statistical toolbox for multimodality brain image analysis , 2007, NeuroImage.
[53] E. Torrance,et al. The Torrance Tests of Creative Thinking , 2012 .
[54] M. Lorr,et al. Profile of mood states , 1971 .
[55] Kristina M. Visscher,et al. The neural bases of momentary lapses in attention , 2006, Nature Neuroscience.
[56] Guy Marchal,et al. Automated multi-modality image registration based on information theory , 1995 .
[57] Yasuyuki Taki,et al. White matter structures associated with creativity: Evidence from diffusion tensor imaging , 2010, NeuroImage.
[58] Advanced Progressive Matrices and Sex Differences: Comment to Mackintosh and Bennett (2005). , 2007 .
[59] Yasuyuki Taki,et al. Regional gray matter density associated with emotional intelligence: Evidence from voxel‐based morphometry , 2011, Human brain mapping.
[60] Vincent Schmithorst,et al. Functional MRI evidence for disparate developmental processes underlying intelligence in boys and girls , 2006, NeuroImage.
[61] R Kawashima,et al. Positron-emission tomography studies of cross-modality inhibition in selective attentional tasks: closing the "mind's eye". , 1995, Proceedings of the National Academy of Sciences of the United States of America.