Neuroimaging intelligence testing: Difference between revisions

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[[Magnetic resonance imaging]] and [[functional magnetic resonance imaging]] have many applications when researching the human brain.<ref name="issr-journals.org">{{cite journal | last1 = Sahito | first1 = F. H. | year = 2013 | title = Interrogational Neuroimaging: The Missing Element in Counter-Terrorism | journal = International Journal of Innovation and Applied Studies | volume = 3 | issue = 3| pages = 592–607 |url=http://www.issr-journals.org/xplore/ijias/IJIAS-13-145-02.pdf }}</ref> A 2005 study examined the correlation between brain volume and intelligence. MRI-based measures of in vivo brain volume had reliabilities in the 0.90s. The study estimated that the correlation between brain volume and intelligence was 0.33.<ref>{{cite journal | last1 = Mcdaniel | first1 = M. | year = 2005 | title = Big-brained people are smarter: A meta-analysis of the relationship between in vivo brain volume and intelligence | url = | journal = Intelligence | volume = 33 | issue = 4| pages = 337–346 | doi = 10.1016/j.intell.2004.11.005 }}</ref>
 
==Global Connectivityconnectivity==
A 2012 study from Washington University, St. Louis described the global connectivity of the prefrontal cortex. Global connectivity is the mechanism by which components of the frontoparietal brain network might coordinate control of other tasks. Cole et al. wrote that:
 
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The lateral prefrontal cortex is a region of interest because those who have injuries to that part of the brain often have issues with common, every day tasks such as planning their day. The LPFC is thought to be important for "cognitive control capacity," which can be used to predict future outcomes such as success in school and the workplace. It was found by van den Heuvel et al. that higher intelligence individuals employ more efficient whole-brain network organization. This had led to the thought that cognitive control capacity may be supported by these whole-brain network properties. The 2012 study used a theoretic approach to neuroimage data known as global brain connectivity (GBC) or weighted degree centrality. GBC let the researches look closely at specific regions and their range of connectivity. It was then possible to examine each region's role in human cognitive control and intelligence. The study used fMRI to acquire data and examine each region's connectivity.<ref>{{cite journal|pmid=22745498 | doi=10.1523/JNEUROSCI.0536-12.2012 | volume=32 | issue=26 | title=Global connectivity of prefrontal cortex predicts cognitive control and intelligence | pmc=3392686 |date=June 2012 | journal=J. Neurosci. | pages=8988–99}}</ref>
 
== Ethical Implicationsimplications ==
Privacy and confidentiality are major concerns for neuroimaging studies. With high-resolution anatomical images, such as those generated by fMRI, it is possible to identify individual subjects, putting their personal privacy at risk. It is possible to create surface renderings of the brain and face from a volumetric MRI, which can be paired with photographs to identify the individual.<ref>{{cite journal|last=Kulynych|first=J|title=Legal and ethical issues in neuroimaging research: human subjects protection, medical privacy, and the public communication of research results.|journal=Brain and cognition|date=December 2002|volume=50|issue=3|pages=345–57|pmid=12480482|doi=10.1016/S0278-2626(02)00518-3}}</ref>