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      Neuroenergetics and “General Intelligence”: A Systems Biology Perspective

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          Abstract

          David C. Geary proposed the efficiency of mitochondrial processes, especially the production of energy, as the most fundamental biological mechanism contributing to individual differences in general intelligence ( g). While the efficiency of mitochondrial functioning is undoubtedly an important and highly interesting factor, I outline several reasons why other main factors of neuroenergetics should not be neglected and why a systems biology perspective should be adopted. There are many advantages for research on intelligence to focus on individual differences in the capability of the overall brain metabolism system to produce the energy currency adenosine triphosphate (ATP): higher predictive strength than single mechanisms, diverse possibilities for experimental manipulation, measurement with existing techniques and answers to unresolved questions because of multiple realizability. Many of these aspects are especially important for research on developmental processes and the building and refining of brain networks for adaptation. Focusing too much on single parts of the system, like the efficiency of mitochondrial functioning, carries the danger of missing important information about the role of neuroenergetics in intelligence and valuable research opportunities.

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          Most cited references41

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          "General Intelligence," Objectively Determined and Measured

          C Spearman (1904)
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            A cellular perspective on brain energy metabolism and functional imaging.

            The energy demands of the brain are high: they account for at least 20% of the body's energy consumption. Evolutionary studies indicate that the emergence of higher cognitive functions in humans is associated with an increased glucose utilization and expression of energy metabolism genes. Functional brain imaging techniques such as fMRI and PET, which are widely used in human neuroscience studies, detect signals that monitor energy delivery and use in register with neuronal activity. Recent technological advances in metabolic studies with cellular resolution have afforded decisive insights into the understanding of the cellular and molecular bases of the coupling between neuronal activity and energy metabolism and point at a key role of neuron-astrocyte metabolic interactions. This article reviews some of the most salient features emerging from recent studies and aims at providing an integration of brain energy metabolism across resolution scales.
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              Systems biology: a brief overview.

              To understand biology at the system level, we must examine the structure and dynamics of cellular and organismal function, rather than the characteristics of isolated parts of a cell or organism. Properties of systems, such as robustness, emerge as central issues, and understanding these properties may have an impact on the future of medicine. However, many breakthroughs in experimental devices, advanced software, and analytical methods are required before the achievements of systems biology can live up to their much-touted potential.
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                Author and article information

                Journal
                J Intell
                J Intell
                jintelligence
                Journal of Intelligence
                MDPI
                2079-3200
                26 August 2020
                September 2020
                : 8
                : 3
                : 31
                Affiliations
                Department of Educational Sciences, University of Regensburg, 93053 Regensburg, Germany; tobias.debatin@ 123456ur.de
                Author information
                https://orcid.org/0000-0002-0782-3320
                Article
                jintelligence-08-00031
                10.3390/jintelligence8030031
                7555089
                32858851
                a42e4529-a1b4-4664-b8f7-11912a3dae7f
                © 2020 by the author.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 04 May 2020
                : 19 August 2020
                Categories
                Opinion

                general intelligence,mitochondria,energy metabolism,network models,development of intelligence,glucose regulation,neuroenergetics,systems

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