Intelligence and neural efficiency: Measures of brain activation versus measures of functional connectivity in the brain |
| |
| Authors: | Aljoscha C. Neubauer Andreas Fink |
| |
| Affiliation: | 1. Department of Psychology, Goethe University, Frankfurt am Main, Germany;2. Department of Neuroradiology, University of Heidelberg, Germany;3. Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin, Berlin, Germany;4. IDeA Center for Individual Development and Adaptive Education, Frankfurt am Main, Germany;5. Radboud University Nijmegen, Donders Institute for Brain, Cognition and Behaviour, Centre for Cognition, Nijmegen, The Netherlands;1. Smart Ageing International Research Center, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan;2. Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan;3. Japan Society for the Promotion of Science, Tokyo, Japan;4. Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan;5. Faculty of Medicine, Tohoku University, Sendai, Japan;1. Department of Psychological and Brain Sciences, Indiana University, 1101 East 10th Street, Bloomington, IN 47405, USA;2. Department of Psychology, University of Denver, 2155 South Race Street, Denver, CO 80208, USA;3. Department of Psychiatry and Human Behavior, University of California Irvine, One University Drive, Orange, CA 92866, USA;4. Indiana University Network Science Institute, Indiana University, Bloomington, IN 47405, USA;5. Institut für Medizinische Psychologie, Charité Centrum für Human-und Gesundheitswissenschaften, Charité Universitätsmedizin, Berlin, Germany;1. Department of Psychology, Goethe University, Frankfurt am Main, Germany;2. IDeA Center for Individual Development and Adaptive Education, Frankfurt am Main, Germany;3. Bernstein Center for Computational Neuroscience, Heidelberg/Mannheim, Germany;4. Donders Institute for Brain, Cognition, and Behaviour, Radboud University Nijmegen, The Netherlands;1. Berenson-Allen Center for Non-Invasive Brain Stimulation, Beth Israel Medical Center, Harvard Medical School, Boston, MA, USA;2. Medicine, Surgery and Neuroscience Department, Siena School of Medicine, Siena, Italy;3. Institut Universitari de Neurorehabilitacio Guttmann, Badalona, Barcelona, Spain;4. Honeywell Labs, Honeywell Aerospace, Redmond, WA, USA;5. Electrical and Computer Engineering Department, Northeastern University, Boston, MA, USA;6. Department of Experimental Psychology, University of Oxford, Oxford, UK |
| |
| Abstract: | The neural efficiency hypothesis of intelligence suggests a more efficient use of the cortex (or even the brain) in brighter as compared to less intelligent individuals. This has been shown in a series of studies employing different neurophysiological measurement methods and a broad range of different cognitive task demands. However, most of the studies dealing with the brain–IQ relationship used parameters of absolute or relative brain activation such as the event-related (de-)synchronization of EEG alpha activity, allowing for interpretations in terms of more or less brain activation when individuals are confronted with cognitively demanding tasks. In order to investigate the neural efficiency hypothesis more thoroughly, we also used measures that inform us about functional connectivity between different brain areas (or functional coupling, respectively) when engaged in cognitive task performance. Analyses reveal evidence that higher intelligence is associated with a lower brain activation (or a lower ERD, respectively) and a stronger phase locking between short-distant regions of the frontal cortex. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
