Intelligence and individual differences in becoming neurally efficient.

Physiological approaches to human psychometric intelligence have shown a higher neural efficiency (i.e. less cortical activation) during cognitive performance in brighter subjects. The main aim of this study was to explore the relationship between intelligence and cortical activation patterns in the framework of the learning test concept. In 27 participants we assessed the topography and extent of cortical activation by means of event-related desynchronization (ERD) during reasoning tests in a pre-test--training--post-test design and related it to psychometric intelligence (measured by the German Leistungs-Prüf-System, LPS). Significant associations between intelligence and cortical activation patterns were exclusively found at anterior (frontal) recording sites, which corroborates the central role of the frontal lobe for higher-order cognitive functions. The hypothesized negative intelligence-activation correlation was observed only after the training, i.e. in the post-test, but not in the pre-test. More important, the decrease in cortical investment from pre-test to post-test correlated negatively with intelligence, indicating that the higher the subjects' general mental ability the larger the decrease in the amount of cortical activation. These findings suggest intelligence-related individual differences in becoming neurally efficient.

[1]  Hans J. Eysenck,et al.  Toward a new model of intelligence , 1986 .

[2]  N. J. Mackintosh,et al.  IQ and human intelligence , 1998 .

[3]  Edward L. Thorndike,et al.  An Introduction to the Theory of Mental and Social Measurements , 1905 .

[4]  A. Neubauer,et al.  Intelligence and neural efficiency: The influence of task content and sex on the brain–IQ relationship , 2002 .

[5]  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.

[6]  J. Risberg,et al.  Changes of cortical activity patterns during habituation to a reasoning test A study with the 133Xe inhalation technique for measurement or regional cerebral blood flow , 1977, Neuropsychologia.

[7]  Norbert Jaušovec,et al.  Differences in EEG Alpha Activity Related to Giftedness. , 1996 .

[8]  Norbert Jaušovec,et al.  Are gifted individuals less chaotic thinkers , 1998 .

[9]  W. Klimesch EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis , 1999, Brain Research Reviews.

[10]  Erik D. Reichle,et al.  The Neural Bases of Strategy and Skill in Sentence–Picture Verification , 2000, Cognitive Psychology.

[11]  Richard J. Haier,et al.  Brain size and cerebral glucose metabolic rate in nonspecific mental retardation and down syndrome , 1995 .

[12]  A. Gevins,et al.  Neurophysiological measures of working memory and individual differences in cognitive ability and cognitive style. , 2000, Cerebral cortex.

[13]  J. Jonides,et al.  Storage and executive processes in the frontal lobes. , 1999, Science.

[14]  Newell,et al.  A neural basis for general intelligence , 2000, American journal of ophthalmology.

[15]  Gert Pfurtscheller,et al.  Intelligence and Spatiotemporal Patterns of Event-Related Desynchronization (ERD). , 1995 .

[16]  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.

[17]  A R McIntosh,et al.  Individual differences in the functional neuroanatomy of verbal discrimination learning revealed by positron emission tomography. , 2000, Acta psychologica.

[18]  J. Carroll Human Cognitive Abilities-a sur-vey of factor-analytic studies , 1993 .

[19]  Norbert Jaušovec,et al.  Differences in Cognitive Processes Between Gifted, Intelligent, Creative, and Average Individuals While Solving Complex Problems: An EEG Study , 2000 .

[20]  P. Vernon,et al.  Biological Approaches to the Study of Human Intelligence , 1993 .

[21]  Patrick C. Kyllonen,et al.  Reasoning ability is (little more than) working-memory capacity?! , 1990 .

[22]  N. Jausovec,et al.  Spatiotemporal brain activity related to intelligence: a low resolution brain electromagnetic tomography study. , 2003, Brain research. Cognitive brain research.

[23]  M. Buchsbaum,et al.  Cortical glucose metabolic rate correlates of abstract reasoning and attention studied with positron emission tomography , 1988 .

[24]  F. L. D. Silva,et al.  Event-related EEG/MEG synchronization and desynchronization: basic principles , 1999, Clinical Neurophysiology.

[25]  G. Pfurtscheller,et al.  Event-related cortical desynchronization detected by power measurements of scalp EEG. , 1977, Electroencephalography and clinical neurophysiology.

[26]  Randall W Engle,et al.  Working memory, short-term memory, and general fluid intelligence: a latent-variable approach. , 1999, Journal of experimental psychology. General.

[27]  N. Tzourio,et al.  Different mental imagery abilities result in different regional cerebral blood flow activation patterns during cognitive tasks , 1992, Neuropsychologia.

[28]  Aljoscha C. Neubauer,et al.  Fluid intelligence and neural efficiency: effects of task complexity and sex , 2003 .

[29]  Gert Pfurtscheller,et al.  126 Psychometric intelligence and event-related desynchronisation during performance of a letter matching task , 1998 .

[30]  Todd Lubart,et al.  Models of Intelligence: International Perspectives , 2003 .

[31]  Lazar Stankov,et al.  Complexity, Metacognition, and Fluid Intelligence , 2000 .

[32]  M. Buchsbaum,et al.  Intelligence and changes in regional cerebral glucose metabolic rate following learning , 1992 .

[33]  Carol S. Lidz,et al.  Dynamic assessment : prevailing models and applications , 2000 .

[34]  M. D’Esposito,et al.  The Influence of Working-Memory Demand and Subject Performance on Prefrontal Cortical Activity , 2002, Journal of Cognitive Neuroscience.

[35]  M. Buchsbaum,et al.  Regional glucose metabolic changes after learning a complex visuospatial/motor task: a positron emission tomographic study , 1992, Brain Research.

[36]  Elsbeth Stern,et al.  When intelligence loses its impact: neural efficiency during reasoning in a familiar area. , 2003, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[37]  Jens F. Beckmann,et al.  Dynamic assessment with diagnostic programs. , 2003 .

[38]  L. Thurstone Primary mental abilities. , 1938, Science.

[39]  R. Henson,et al.  Frontal lobes and human memory: insights from functional neuroimaging. , 2001, Brain : a journal of neurology.

[40]  H.-J. Volke,et al.  On-Coupling and Off-Coupling of Neocortical Areas in Chess Experts and Novices: as Revealed by Evoke , 2002 .

[41]  Gert Pfurtscheller,et al.  Event-related desynchronization. Handbook of Electroencephalography and Clinical Neurophysiology. Revised Series, Volume 6 , 1999 .