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It seems that the head size of human beings has evolved to be relatively similar, yet there is still some amount of variation. While I'm sure the correlation is not absolute, I read that larger heads do imply larger brains.

Thus, my questions:

  • What is the correlation between head size and brain size?
  • What is the relationship between brain size and mental processing ability (e.g., intelligence, emotional responses to certain stimuli, reaction time, etc)?
  • Why might these correlations exist or not exist?
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I think Rushton is your guy. scholar.google.com/… springerlink.com/content/r173v725160tn626 –  Ruben Feb 4 '12 at 13:49
    
Usually what matters (at least - between species) is the deviation from brain mass as a function of body mass scaling law, see nature.com/scientificamerican/journal/v305/n1/box/…. Without taking account for body mass (and other factors like age, sex or ethnic group) (so not only brain mass!) one might get misleading results for correlation of brain size and mental abilities. –  Piotr Migdal Mar 12 '13 at 9:59
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2 Answers

Kinda : p

The overwhelming consensus is that it has more to do with brain/body mass ratios. If you are an elephant, you need a lot of wiring to control everything, and that all takes room. Humans have the best ratios by far.

That being said, think about a child prodigy vs an adult. One clearly outmatches the other in terms of brain size. In some brain structures, size or density does increase with expertise. But overall, you need to understand that these are really complex networks and size/space is only one factor affecting their performance.

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This is a common misconception. While there are many variables to consider, the raw amount of brain matter available to use for processing does make a difference when it comes to general intelligence. Ratio has nothing to do with it (correlation != causation); Chimpanzees for example have a worse "ratio" than humans and can outperform college students on certain memory tasks. That said, brain size taken at the exclusion of the many other factors involved (neuronal wiring, experience, plastiticy, etc.) has relatively low predictive power, but in the end — size does matter. –  stoicfury Feb 4 '12 at 9:50
    
BS: computational theory is one of my core disciplines. That we can get a monkey to outperform on some specific tests does not generalize to human g measurement. Hell, it's hard to get consistent results with just humans (I have ceiling-ed IQ subtests on accident and I had to correct the administrator). If you want to go there, explain crows, elephants, etc: their brain sizes are WAY different! A layman translation of all this boils down to correlating IQ with hat size. The predictive power of hat size can be rounded down to 0- which sucks because I have a big head : ( –  Indolering Mar 28 '13 at 20:54
    
Can you add any references to this answer so I can remove my downvote and the post notice? Thanks! –  Josh Gitlin Aug 15 '13 at 18:09
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This post does not cite any references or sources. Please help improve this post by adding citations to reliable sources. Unsourced material may be challenged and removed.

One relatively recent review on this topic is Rushton & Ankney (2009). They report that there have been a large number of studies with varying results:

  • 28 studies, covering a total of 1,389 subjects, used brain imaging techniques to estimate the size of the brain. Correlations with general mental ability (GMA) ranged from 0.04 to 0.69, with an unweighted mean of 0.40. Weighting the correlations with the sample size produces a mean of 0.38.
  • 59 studies, covering a total of 63,403 subjects, used external head measurements to estimate the size of the brain. Correlations with general mental ability ranged from 0.02 to 0.55, with an unweighted mean of 0.21. Weighting the correlations with the sample sizes produces a mean of 0.20.
  • 6 studies used Jensen's method of uncorrelated vectors to distill g, getting a mean correlation of 0.63.

The last point probably needs some explaining. The g-factor, or g for short, is the quantity that IQ tests are designed to measure. The name "g factor" comes from the fact that it is a common, general factor which all kinds of intelligence draw upon. For instance, Deary (2001) analyzed an American standardization sample of the WAIS-III intelligence test, and built a model where performance on the 13 subtests was primarily influenced by four group factors, or components of intelligence: verbal comprehension, perceptual organization, working memory, and processing speed. In addition, there was a common g factor that strongly influenced all four. The model indicated that the variance in g was responsible for 74% of the variance in verbal comprehension, 88% of the variance in perceptual organization, 83% of the variance in working memory, and 61% of the variance in processing speed. In other words, if a person has a lot of g, then (s)he is likely to also get a high score on tests measuring all subtypes of intelligence. This is possibly because g is something in the brain that all the subtypes of intelligence benefit from. But note the word likely - the correlation is not perfect, so it's still possible to have a high g but be worse than average in some subtype of intelligence. It's just less likely than the converse.

Now experts might be cringing at that previous paragraph, because I talked about an individual having a lot of g. Technically, g is something that is computed from the correlations between various test scores in a given sample, and there's no such thing as the g of any specific individual. The technique doesn't even guarantee that g actually corresponds with any physical quantity, as opposed to something that the method just happened to produce by accident. So when you want to measure someone's intelligence, you make a lot of people take tests that are known to be strongly g-loaded. That means that the performance on the tests is strongly correlated with g. Then you take their raw scores and standardize them to produce an IQ score, so that if e.g. only 10% of the test-takers got a raw score of X, then anyone getting the raw score of X is assigned an IQ indicating that they're in the top 10% of the population. And although this still doesn't tell us what an individual's g score is, it gives us a score that's closely correlated with g. IQ also seems to predict a large number of things like life outcomes and performance in a variety of tasks and so forth. See e.g. Jensen (1998) for (much) more on this.

So now that I've explained all that, what does the "6 studies used Jensen's method of uncorrelated vectors to distill g" bit mean? Well, if I'm understanding the paper right, then the 28 + 59 other studies calculated the correlation between brain size and IQ. In other words, between brain size and performance on some particular intelligence test, that ultimately measures performance on one or more subtypes of intelligence. Subtypes which are closely, but not perfectly, correlated with g. The 6 studies were different in that they attempted to calculate the actual correlation between g and brain size, which is different from the correlation between IQ and brain size. Which one is better? Here I must admit that my expertise isn't sufficient to answer the question confidently, but I'd suppose that it depends on what you're trying to measure. If you want to know the extent to which the common factor influencing all the subtypes of intelligence varies between brains, then you want to use the estimate where g has been extracted. If you want to know how much brain size seems to correlate with mental ability in practice, you might want to use the correlation with IQ. Neither is more correct than the other.

Other findings from the paper:

  • The brain volume–GMA correlation is equally strong in males and females.
  • It is also found in people of East Asian, East Indian, European, Turkish, African, South American, and Amerindian descent.
  • Studies using a narrow age range of younger or older samples show the same magnitude of correlation.
  • Many studies appear to show that the size effects are manifest throughout the brain and not specific to any particular region; however, other studies show GMA centered in the frontal brain regions. Two studies found support for both positions - the more g-loaded subtests were distributed throughout the brain but concentrated most in the frontal lobes.
  • The correlation between head size and GMA is found both within families and between families. From the paper: "the within-family finding is of special interest because it controls for most of the sources of variance that distinguish families, such as social class, styles of child rearing, and general nutrition, that differ between families."
  • Body size and brain size are correlated. The average correlation is 0.2 for MRI studies, or 0.3-0.4 for studies that use skull measurements. But body size and GMA are also correlated, at around 0.20-0.25. There is disagreement about whether the size of the body should be controlled for when estimating brain size/GMA correlations, but a correlation is found regardless of whether or not body size is controlled for. In other words, both relative and absolute brain size are correlated with IQ.
  • The brain size/intelligence correlation is also found in non-human animals, both within a species (e.g. rats) and between different species (e.g. species of birds, species of primates).
  • Brain size is also environmentally sensitive: for instance, rats raised in complex environments have thicker cortices and larger brains than rats reared in impoverished environments.
  • The paper also reviews results showing that brain size and GMA are correlated with age, socioeconomic position, sex, and population group differences, but those aren't relevant for the question so I won't go into them here.

References:

Deary, I.J. (2001) Human intelligence differences: a recent history. Trends in Cognitive Sciences, 5, 127–130.

Jensen, A.J. (1998) The g Factor – The Science of Mental Ability. Praeger.

Rushton, J.P. & Ankney, C.D. (2009) Whole Brain Size and General Mental Ability: A Review. International Journal of Neuroscience, 119(5), 692-732.

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You are al heading up the wrong path daring to even cite the work of a known racist Rushton. Brain size is hardly a determinant for intelligence, if so short people and women would have significantly reduced mental function, and we dont find this at all. Mental processes are plastic, meaning they can like a muscle be worked on and improved over time, the best time to do this is in the younger years. It is assumed that mother child interaction, child nutrition and environment play heavy roles in this cognitive development. –  user2798 Mar 10 '13 at 2:35
    
I see a problem with interpreting the correlation between brain size and GMA. As far as I know, brain size (in humans) correlates with body size. There is an extremely strong cross-generational effect of nutrition, education and other social and health factors on body size as well as on intelligence. So, brain size and GMA might be independent of each other and both caused by the better living conditions that the families of these individuals were exposed to during the last handful of generations. (The within-family differences contradict my argument only, if they go both ways in time.) –  user1196 Mar 10 '13 at 17:03
    
@Paul Ad hominems are hardly the way to judge scientific research. Especially the lower end of these correlations is still small enough that shorter people might on average have a lower IQ without this being particularly noticeable without resorting to statistical analysis. If you have contradictory data, feel free to publish it. –  Kaj_Sotala Mar 11 '13 at 8:16
    
I'll repeat my comment from below, a layman's translation of this question is whether hat size correlates to IQ. The predictive power of hat size can be rounded down to 0. In comparison to other factors (socio-economic, schooling, or what century you were born in) this answer is fodder for pop-psych non-sense. –  Indolering Mar 28 '13 at 20:56
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