Abstract
"nutritional and environmental conditions which foster good development of intelligence can be expected to foster good physical brain development as well. "
"the relation between brain size
and IQ is confounded by nutritional and environmental conditions"
Accepting the fact that MRI
data document a significant correlation between brain size and intelligence
within demographically homogeneous groups, the question of causality arises.
Neural systems, by definition, have evolved to interact
with the environment, and the very significant expansion of brain size
after birth, driven by a growth of synapses and cortical interconnections,
is interactive with environmental input (Bedi, Massey, & Smart,
1989; Jacobsen, 1991, pp. 266-270; Walsh, 1981). Thus, nutritional
and environmental conditions which foster good development of intelligence
can be expected to foster good physical brain development as well.
My seemingly nonsensical position, that under some conditions it is useful
to control for body size when look ing at brain/IQ relations, is based
on the possibility that the relation between brain
size and IQ is confounded by nutritional and environmental conditions
(cf. Passingham, 1979; Rodriguez, Donnadien, Martinez, & Chavez, 1979).
This does not change the basic observations, but
it does change arguments about causation.
Much of Rushton and Ankney's (1995) case on racial differences in brain size is based on estimates derived from cranial measures. Such estimates are not without problems (Hoadley & Pearson, 1929; Wickett et al., 1994, Willerman et al., 1991), and may have different validity for men and women. As an illustration, Willerman et al. (1992), found a significant correlation between brain size and head perimeter for women, but not for men. Nevertheless, let us assume that cranial measures do provide an imperfect but acceptable estimate of brain size. Rushton & Ankney encounter several problems in the attempt to generalize the mri/brain size/IQ data to the general context of racial comparisons. One of the problems lies in the simplified grouping of races, because this tends to give insufficient weight to within- group variations.
Rushton's (1991) own data illustrate the point. Within the Caucasoid grouping, a 1969 sample of Iranian soldiers is given an average estimated cranial capacity of 1356 cm3, whereas a 1966 sample of American Army soldiers has an average of 1470 cm3. Similarly, a 1967 us Air Force sample has 1539 cm3, whereas a 1975 German Air Force sample has 1455 cm3. Within the Mongoloid grouping, a 1963 sample of Thai soldiers has an estimated average of 1340 cm3, whereas a 1965 sample of South Vietnamese has 1299 cm3. All of these differences are much larger than the differences obtained between Negroid (1449 cm3), Caucasoid (1468 cm3), and Mongol- oid (1464 cm3) enlisted men from a 1988 us Army cohort using Rushton's (1992) terms and data. There are also secular changes within a culture and racial group (Haug, 1984; Miller & Corsellis, 1977). For example, us Air Force personnel measured in 1967 had estimated brain sizes that exceeded by 68 cm3 values from a us Air Force sample drawn in 1950 (Rushton, 1991). In face o f such variation within groupings, between cultures for similar groupings, and between different cohorts drawn within a culture, generally valid statements about race differences are difficult to make.
Two additional points need to be made. Rushton and Ankney (1995) suggest that cranial capacity estimates for Mongoloid-, Caucasoid-, and Negroid-Americans are 1416, 1380, and 1359 cm3, respectively, indicating larger differences than Rushton's (1992) values given above for these groups (1464, 1468, 1449cm3). The former values for the three groups represent cranial capacity estimates which are based on values corrected for body parameters (Rushton, 1992). To perform this correction, Rushton used slopes for the log/log plot of brain against body weight which are not appropriate for within- species comparisons (Harvey, 1988). For comparison of individuals drawn from the same species, a slope which is almost horizontal is appropriate, and should be close to the .08 determined empirically by Reed and Jensen (1993). This is borne out by other available evidence. Wickett et al. (1994) state that for their sample of white women, it would appear that the size of the brain is largely independent of body size (p. 836). Similarly, Jerison (1979) found no significant association between body weight or height and brain weight for men within the age range of 29 to 41 years of age. A conservative conclusion is that there is no legitimate reason for using steep slopes in comparing brain/body size relations across races. As a result, statements about brain size differences between races should not rely on adjusted values, and it is not appropriate to conclude that higher IQ's in Asians are linked to larger brain size.
The issue of race/brain size/IQ invites a return to the sex/brain size/IQ issue. Rushton's (1992) data show that the estimated cranial capacity of Negroid-American men is some 13-14% higher than that of Caucasoid-American women, even though the average I Q for the former is presumably lower. How can this be integrated into a model of larger brain => higher IQ without qualifying the meaning of brain size comparisons across sexes, or revisiting the issue of what factors other than brain size have a bearing on IQ? This question once again emphasizes the unresolved issues of how brain weight/ body parameters can be compared across sexes, races, and age cohorts.
Finally, the small absolute differences in brain size between Mongoloids, Caucasoids, and Negroids in Rushton's (1992) data base should be evaluated relative to cohort data. We have seen that values from two Air Force samples drawn 17 years apart showed estimated brain size differences that are larger than the differences reported between races in the 1988 common age cohort. It is legitimate to ask whether the contemporary Negroid- and Caucasoid-American samples described in the common 1988 age cohort could not differ as much from each other in undefined demographic and nutritional variables as the cohort samples from 1950 and 1967 differed from each other.
I am not going to address the issue of racial differences in IQ relative to brain size, because this cannot be resolved here. Clearly, Rushton & Ankney feel that sufficient evidence is available to make their point on racial differences in IQ. The issue is not whether such differences can be observed; they are observed and they are marked and important for a number of reasons. What to make of them is another matter. If cohort differences across time and culture complicate interpretation of brain size dif ferences across races, the additional uncontrolled effects of community variables in the determination of IQ (Church & Katigbak, 1991; Coon, Carey & Fulker, 1992; Wachs, Moussa, Bishry, Yunis, Sobhy, McCabe, Jerome, Galal, Harrison, & Kirksley, 1993) across races render conclusive statements about racial IQ differences even more difficult, if not impossible at present.
Send correspondence to:
M. Peters, Ph.D
Deptartment of Psychology,
University of Guelph,
Guelph, Ontario
N1G 2W1
CANADA
E-mail: mpeters@uoguelph.ca.
References
Andreasen, N.C., Flaum, M., Swayze, V., O'Leary, D.S., Alliger, R., Cohen, G., Ehrhardt, J., Yuh, W.T.C. (1993). Intelligence and brain structure in normal individuals. American Journal of Psychiatry, 150, 130-134.
Bedi, K.S., Massey, R.F., & Smart, J.L. (1989). Neuronal and synaptic measure- ments in the visual cortex of adults after undernutrition during normal or artificial rearing. Journal of Comparative Neurology, 289, 89-98.
Church, A.T., & Katigbak, M.S. (1991). Home environment, nutritional status, and maternal intelligence as determinants of intellectual development in rural Philippine preschool children. Intelligence, 15, 49-78.
Coon, H., Carey, G., & Fulker, D.W. (1992). Community influences on cognitive ability. Intelligence, 16, 169-188.
Egan, V., Chiswick, A., Santosh, C., Naidu, K., Rimmington, J.E., & Best, J.J.K. (1994). Size isn't everything: a study of brain volume, intelligence and auditory potentials. Personality and Individual Differences, 17, 357-367.
Gould, S.J. (1981). The mismeasure of man. New York: W.W. Norton.
Harrison, G.A., Tanner, J.M., Pilbeam, D.R., & Baker, P.T. (1988). Human Biology. Oxford: Oxford University Press.
Harvey, P.H. (1988). Allometric analysis and brain size. In H.J. Jerison & I. Jerison (Eds.), Intelligence and evolutionary biology (pp. 199-210). Berlin: Springer Verlag.
Haug, H. (1984). Der Einfluss der s„kularen Akzeleration auf das Hirngewicht des Menschen und dessen Žnderung w„hrend der Alterung. Gegenbaurs morphologisches Jahrbuch, 130, 481-500.
Hoadley, M.F., & Pearson, K. (1929). On measurement of the internal diameter of the skull in relation, I to the prediction of its capacity and, II to the `pre-eminence' of the left hemisphere. Biometrika, 21, 85-123.
Jacobsen, M. (1991). Developmental Neurobiology. New York: Plenum Press.
Jerison, H.J. (1979). The evolution of diversity in brain size. In M.E. Hahn, C. Jensen, & B.C. Dudek (Eds.) Development and evolution in brain size (pp. 29-57). New York: Academic Press.
Lynn, R. (1994). Sex differences in intelligence and brain size: a paradox resolved. Personality and Individual Differences, 17, 257-271.
Lynn, R. (1993). Brain size and intelligence in man: a correction to Peters. Canadian Journal of Experimental Psychology, 47, 748-750.
Miller, A.K.H., & Corsellis, J.A.N. (1977). Evidence for a secular increase in human brain weight during the past century. Annals of Human Biology, 4, 253-257.
Passingham, R.E. (1979) Brain size and intelligence in man. Brain, Behavior and Evolution, 16, 253-270.
Peters, M. (1991). Sex Differences in Human Brain Size and the General Meaning of Differences in brain size. Canadian Journal of Psychology, 45, 507-522.
Peters, M. (1993). Still no convincing evidence of a relation between brain size and intelligence in humans. Canadian Journal of Experimental Psychology, 47, 751-756.
Peters, M., Chisholm, P., & Laeng, B. (1995). Spatial ability, student gender and academic performance. Journal of Engineering Education, 84, 69-73.
Raz, N., Torres, I.J., Spencer, W.D., Millman, D., Baertschi, J.C., & Sarpel, G. (1993). Neuroanatomical correlates of age-sensitive and age-invariant cognitive abilities: an in vivo mri investigation. Intelligence, 17, 407-422.
Reed, T.E., & Jensen, A.R. (1993). Cranial capacity: new Caucasian data and comments on Rushton's claimed Mongoloid-Caucasoid brain-size differences. Intelligence, 17, 423-431.
Rodriguez, R., Donnadien, F.R., Martinez, C., & Chavez, A. (1979). Nutrition and development of children from poor rural areas. viii. The effect of mild malnutri- tion on children's neurological development. Nutrition Reports International, 19, 315-326.
Rushton, J.P. (1991). Mongoloid-caucasoid differences in brain size from military samples. Intelligence, 15, 351-359.
Rushton, J.P. (1992). Cranial capacity related to sex, rank and race in a stratified random sample of 6325 u.s. military personnel. Intelligence, 16, 401-413.
Wachs, T.D., Moussa, W., Bishry, Z., Yunis, F., Sobhy, A., McCabe, G., Jerome, N., Galal, O., Harrison, G., & Kirksley, A. (1993). Relations between nutrition and cognitive performance in Egyptian toddlers. Intelligence, 17, 151-172.
Walsh, R.N. (1981). Effects of environmental complexity and deprivation on brain anatomy and histology. International Journal of Neuroscience, 12, 33-51.
Weizmann, F., Wiener, N.I., & Wiesenthal, D.L., & Ziegler, M. (1990). Differential K theory and racial hierarchies. Canadian Psychology, 31, 1-13.
Wickett, J.C., Vernon, P.A., & Lee, D.H. (1994). In vivo brain size, head per- imeter, and intelligence in a sample of healthy adult females. Personality and Individual Differencess, 16, 831-838.
Willerman, L., Schultz, R., Rutledge, & Bigler, E.D. (1991). In vivo brain size and intelligence. Intelligence, 15, 223-228.
Willerman, L., Schultz, R., Rutledge, N.J., & Bigler, E.D. (1992). Hemisphere size asymmetry predicts relative verbal and nonverbal intelligence differently in the sexes: an mri study of structure-function relations. Intelligence, 16, 315-328.
Date of acceptance: December 30, 1994
