Locating of the Intelligence Gene ‘myg’ through Functional Neuroimaging Analysis and Allelic Association Maxine Helga Pinpin Locating of The Intelligence Gene ‘myg’ through Functional Neuroimaging Analysis and Allelic Association A Research Proposal By Maxine Helga Pinpin INTRODUCTION Background of Study Many previous studies () have been finding the genes attributed to intelligence, using intelligence quotient (IQ) to gauge intelligence, particularly in humans. Through gene deletion and manipulation tests in animals, some of the studies were successful in finding the correlation between genes and intelligence (). However, these studies demonstrate different genes to affect intelligence. This poses the problem of inaccuracy. If, for example, in cognitive testing a deleted gene causes a desired change in results, the targeted gene could be the gene for brain structure development and not intelligence. Statement of the Problem Intelligence vs. Knowledge This study believes that intelligence has not been adequately defined, and that intelligence cannot be sufficiently measured by IQ since a person taking an IQ test has to be raised, somewhat, in a Western paradigm. Thus, it is of utmost important to define with scientific precision intelligence and its parameters. This study will be in line with Gardner’s (2000) theory of “multiple intelligence” which posits that intelligence is not a single property of the human mind. However, in contrast to the common belief that intelligence can be improved, this study believes that intelligence is a fixed value. It has a maximum potential or capacity that can be filled with information or knowledge. If for instance two people, who have no experience whatsoever in basketball, are asked to dribble a ball, the person with more intelligence will perform better. Thus, intelligence can be likened to a sponge and knowledge is what the sponge absorbs. A sponge has a predetermined absorbency speed and rate. If two different sponges are made to absorb the same amount of liquid, the better sponge will be able to absorb the liquid faster and retain it more efficiently. Though, through time, both will be able to absorb the same amount of water. Just like in intelligence, the more intelligent person will be able to understand and utilize knowledge faster than the less intelligent person. But given time and training, the less intelligent person can be able to understand and utilize the same knowledge. Intelligence is applied to different aspects, may it be in mathematical, spatial, musical, bodily-kinesthetic, intrapersonal, interpersonal, or other undiscovered aspects. Therefore, each individual is endowed with a unique combination of intelligence. This study aims to determine the specific genes attributed to the different types of intelligence. It also aims to determine the gene responsible for the development of intelligence. Through the first phase of human testing and statistical analysis of data, this study will provide more accuracy in determining the different candidate genes ‘myg’ which can then be tested on animals. As in Toga and Thompson’s (2005) review, this study will utilize the same brain mapping and neuroimaging techniques. The functional neuroimaging data of the total number of humans will be taken. This will be conducted to determine the areas of the brain which are active during the performance of specific cognitive tasks. The results of the experts as compared to the average people will show that the area of their brain active during cognitive tasks is more high functioning than those of the average people. Thus, the allelic association will be compared to find the different ‘myg’ genes. This approach of allelic association to locate genes is demonstrated in Denham and Whittaker’s (2003) study. Also, according to Doull et. al. (1996) “for complex inheritance, allelic associations can be more powerful than linkage for locating a gene”. Significance of the Study This study will provide further information for the genetic attribution of the different kinds of intelligence. Determining the genes of intelligence will aid in mankind’s endeavour of finding the gene or genes for genius, and serve as a stepping stone for future studies in the genetic field, neurological field, and even the medical field. Review of Related Literature Intelligence Gardner (2000) formulated the theory of “Multiple Intelligence”, stating that there are at least seven distinct intelligences that can be linked to their own neurological substrate: linguistic intelligence (sensitivity to the spoken and written word and the ability to master languages), logical-mathematical intelligence (the capacity to analyze problems logically and scientifically), musical intelligence (skill in the performance, composition, and appreciation of music), bodilykinesthetic intelligence (as exemplified by dancers, surgeons, and artists), spatial intelligence (characteristic of pilots, graphic artists, and architects), interpersonal intelligence (a talent for understanding and relating to other people) and intrapersonal intelligence (the capacity for understanding oneself). Toga and Thompson (2005) cited that “multiple intelligence is supported by studies of brain lesions that cause specific brain deficits while leaving other cognitive functions intact (e.g. speech or visuospatial skills).” Brain connectivity Gazzaniga (2008) compiled several researches that demonstrated the areas of brain active when performing different cognitive tasks; some of the studies have found possible genes that could be attributed to the different intelligences. Brain mapping and statistical analysis Toga and Thompson (2005) developed a model-driven algorithm to create a 3D representation of the brain that shows the structural and functional analysis of the brain. They tested identical twins, fraternal twins, and normal individuals. They used a tissue classification algorithm to segment the data into regions representing gray matter, white matter, cerebrospinal fliud (CSF) and nonbrain tissues, and used statistical analysis to find the parts of the brain which are hereditable. These brain mapping techniques, according to Toga and Thompson, may be used to visualize the correlations between genes and morphology, cognitive scores and other effects. Quantitive Trait Loci (QTL), DNA Markers and Linkage Maps According to Farnoosh (2004), multiple-gene systems result in dimensions (quantative traits) as opposed to disorders (qualitative dichotomies). These genes in multiple-gene systems are called quantative trait loci (QTLs), and are used to discover multiple genes, with different effect sizes, contributing to the variation of the trait (Farnoosh), 2005). As cited by Farnoosh, the IQ QTL Project (Plomin, et. Al., 1994) “focuses on ability rather than disability”, and states that being very high functioning requires positive alleles rather than negative alleles. As opposed to the IQ QTL Project, this study will focus on the brain activity during cognitive tasks instead of the intelligence quotient or IQ of the human subjects. Linkage maps are constructed to show the position of genetic markers in the DNA. These are used to find the hereditability of the trait of interest (Collard, Jahufer, Brouwer & Pang, 2005). MATERIALS AND METHODS Process Flowchart IDENTIFICATION OF CANDIDATE GENES IN HUMANS Cognitive testing of human subjects Neuroimaging of human subjects Brain mapping Statistical Analysis of active brain regions Comparison with Thompson and Toga’s degree of heritability Construction of Linkage Map to Allelic Association of Polymorphisms to Pinpointing of different intelligence genes ‘myg’ to Cognitive Testing and Neuroimaging Two groups of 700 human individuals will be gathered: the expert group (Group E) and the average group (Group A). Group E will comprise of 100 experts of the following kinds of intelligence Mathematical, Spatial, Musical, Bodily-kinesthetic, Intrapersonal, Interpersonal and Linguistic will be labelled E1, E2, E3, E4, E5, E6, and E7 respectively. Group A will comprise of individuals with minimal experience or knowledge in the five fields of study. They will be divided into 7 groups of 100 individuals as well, and will be labelled A1, A2, A3, A4, A5, A6 and A7. Refer to the Figure 1. Figure 1: Classification of test subjects Group A and Group B will be given cognitive tasks according to their assigned intelligence type. Functional magnetic resonance imaging (fMRI) will be used to determine the active brain areas during their cognitive tasks. Brain Mapping and Statistical Analysis Using Toga and Thompson’s (2005) algorithms and programs, brain map models showing the active brain areas will be constructed. Through statistical analysis of the brain map models of all test subjects, the average areas of the brain which are active during specific cognitive tasks will be established. These will be called the brain activity map model. Comparison with degree of heritability and Linkage Map For reliability, accuracy and validity, the brain activity map model will be compared to the brain map of heritability of Toga and Thompson (2005). This will demonstrate the heritable parts of the brain which are candidate phenotypes for the intelligence genes. After which, the linkage maps of the humans will be constructed to narrow down the candidate genes. The genetic loci which are close to each other will be picked since they are heritable. Allelic Association of Polymorphisms Since the Group E have more high functioning in their type of intelligence, then the variation of their gene must be somewhat similar. For example, Group E1, the experts of mathematics, have higher mathematical intelligence than Group A1. Thus, the variation of their mathematical intelligence gene or the allele of their mathematical ‘myg’ is similar to each other while the alleles of individuals in Group A1 is similar to each other. On the other hand, the alleles of Group E1 vary from those of Group A1. Therefore, the alleles of Group E can be compared to those of Group A. Pinpointing of Intelligence Genes ‘myg’ Since alleles are variations of genes, it will be possible to use allelic information to locate the gene of interest. After the allelic association has been established, the gene for each type of intelligence can then be pinpointed in the DNA sequence or DNA map. BIBLIOGRAPHY Collard, B.C.Y., Jahufer, M.Z.Z.., Brouwer, J.B. & Pang, E.C.K. (2005). An introduction to markers, quantitative trait loci (QTL) mapping and marker-assisted selection for crop improvement: The basic concepts. Euphytica. 42, 169-196. Retrieved from http://beta.irri.org/news/bulletin/2005.21/PDFs/Review%20introduction%20markers%20 QTL%20mapping%20MAS.pdf Denham, M.C. & Whittaker, J.C. (2003). A Bayesian approach to disease gene location using allelic association. 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