Abstract
Objectives
The aim of this study was to assess the size of the corpus callosum in members of Mensa International, which is the world’s largest and oldest high-intelligence quotient (IQ) society.
Methods
We performed T2-weighted magnetic resonance imaging (Repetition Time, TR = 3200 ms, Time of Echo, TE = 409 ms) to examine the brain of members of Mensa International (Polish national group) in order to assess the size of the corpus callosum. Results from 113 male MENSA members and 96 controls in the age range of 21–40 years were analyzed.
Results
The comparative analysis showed that the mean length of the corpus callosum and the thickness of the isthmus were significantly greater in the Mensa members compared to the control groups. A statistically significant difference was also identified in the largest linear dimension of the brain from the frontal lobe to the occipital lobe. The mean corpus callosum cross-sectional area and its ratio to the brain area were significantly greater in the Mensa members.
Conclusions
The results show that the dimensions (linear measures and midsagittal cross-sectional surface area) of the corpus callosum were significantly greater in the group of Mensa members than in the controls.
Zusammenfassung
Ziel
Das Ziel der vorliegenden Studie bestand darin, die Größe des Corpus callosum bei Mitgliedern von Mensa International zu bestimmen, der weltgrößten und ältesten Gesellschaft für hochbegabte Menschen.
Methoden
Es wurde eine T2-gewichtete Magnetresonanztomographie (Repetitionszeit, TR: 3200 ms, Echozeit, TE: 409 ms) durchgeführt, um das Gehirn von Mitgliedern von Mensa International (polnische Landesgruppe) zu untersuchen mit dem Ziel, die Größe des Corpus callosum zu ermitteln. Dazu wurden die Ergebnisse von 113 männlichen Mensa-Mitgliedern und 96 Kontrollen mit einer Altersspanne von 21–40 Jahren ausgewertet.
Ergebnisse
In der vergleichenden Auswertung zeigte sich, dass bei den Mensa-Mitgliedern die mittlere Länge des Corpus callosum und die Dicke des Isthmus signifikant größer waren als in der Kontrollgruppe. Eine statistisch signifikante Differenz wurde auch in der größten linearen Ausdehnung des Gehirns vom Frontallappen bis zum Okzipitallappen ermittelt. Die mittlere Querschnittsfläche des Corpus callosum und ihr Verhältnis zu Fläche des Gehirns waren bei Mensa-Mitgliedern ebenfalls signifikant größer.
Schlussfolgerung
Die Ergebnisse zeigen, dass die Abmessungen des Corpus callosum (lineare Maße und mittsagittale Oberfläche im Querschnitt) bei Mensa-Mitgliedern signifikant größer waren als bei den Kontrollen.
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Introduction
Intelligence is a broad and widely disputed concept in psychology used with reference to an individual’s capacities for cognitive performance. According to a definition generally accepted by researchers, “intelligence is a very general mental capability that, among other things, involves the ability to reason, plan, solve problems, think abstractly, comprehend complex ideas, learn quickly and learn from experience. It is not merely book learning, a narrow academic skill, or test-taking smarts. Rather it reflects a broader and deeper capability for comprehending our surroundings—‘catching on,’ ‘making sense’ of things, or ‘figuring out’ what to do” [1]. Individuals vary in terms of the capacities referred to as intelligence, which is why tests have been devised to assess these capabilities [2]. A precursor to the currently used tools, a test designed to assess general intellectual capacities of children was published in 1905 by Alfred Binet and Théodore Simon. In 1912 William Stern proposed a measurable index (intelligence quotient [IQ]) to describe the overall result achieved in intelligence tests [3]. Hence, it became natural to look for correlations between human intelligence and the morphology or physiology of the brain [4].
The earliest attempts of this type focused on the brains of outstanding individuals [5, 6]. Many research centers collected preserved brains of such individuals. At present the largest collection of “cognitively normal” brains is owned by McMaster University in Hamilton (Ontario, Canada). One of the most comprehensively investigated was Albert Einstein’s brain [7]. Particularly notable is the study carried out in Shanghai-based East China Normal University’s Department of Physics [8]. The authors hypothesized that Einstein’s remarkable intelligence could be linked to his corpus callosum (CC), which was thicker (than in the control groups) enabling more efficient communication between the cerebral hemispheres. There are some studies in which associations between cognitive abilities and CC characteristics were examined in samples with neurological conditions, developmental disabilities and disorders, or diseases [9, 10] but only few studies regarding the correlation of IQ and brain structures in healthy individuals [11,12,13,14,15,16]. However, there is a lack of sufficient research conducted with people who are above average intelligence. In view of this, the present study aimed to assess the size of the CC in members of Mensa, which is the world’s largest and oldest high-IQ society [17, 18]. To the best of the authors’ knowledge, this is the first such study on Mensa members.
Material and method
The project was approved by the local bioethics commission (approval no. 122.6120.28.2017). Magnetic resonance imaging (MRI) was applied to examine the brain of 113 male right-handed members of Mensa International (Polish national group) in order to assess the size of the CC. As defined by Mensa Poland, those eligible to join the club have solved a test approved by a Mensa supervisory psychologist with a score placing them in the top 2% of the population. In practice this means they have achieved an IQ equivalent to 130 or more points in Wechsler’s test ([19]; until 2015, the lower limit of 148 points in Catell’s scale [20] was also in effect; the two scores are equivalent). Because of personal data protection, the authors of the study did not get access to the IQ scores of the specific individuals. The data of 96 matching male controls from our database [21] were evaluated.
Both the evaluated Mensa members and the controls were 21–40 years old. Due to the variable size of the CC relative to age, all individuals were additionally divided into two age groups: the younger group of men in the age range of 21–30 years (68 Mensa members, mean age 25.8 years ±2.8 years; 50 controls, mean age 25.6 years; ±3.1 years) and older group of men in the age range of 31–40 years old (45 MENSA members, mean age 34.4 years ±2.7 years; 46 controls, mean age 34.9 years; ±2.4 years).
All the participants reported no history of head injuries, neurological or mental disorders, as well as no alcohol abuse and no use of intoxicants. No changes in brain structures were identified in the MR images acquired. The MRI examination was performed using constant parameters: TR = 3200 ms, TE = 409 ms, 192 slices, slice thickness = 0.9 mm. No contrast agent was administered.
In order to determine the morphology of the CC measurements were performed on T2-weighted images in midsagittal plane.
The following linear measurements were performed (Fig. 1a):
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The largest linear dimension of the brain from the frontal lobe to the occipital lobe (AB)
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Sectional length of the CC (CD)
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Cross-sectional thickness of the CC in the narrowest location—isthmus (EF)
Measurement of a corpus callosum dimensions and b corpus callosum and brain areas. (symbols explained in the text). AB The largest linear dimension of the brain from the frontal lobe to the occipital lobe, CD callosal sectional length, EF cross-sectional thickness of the CC in the narrowest location—isthmus, AREA1 midsagittal callosal cross-sectional area, AREA2 midsagittal brain cross-sectional area
Subsequently, the following areas were measured (Fig. 1b):
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Midsagittal CC cross-sectional area (AREA1)
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Midsagittal brain cross-sectional area, in the plane corresponding to midsagittal CC cross-section (AREA2)
Finally, the ratios of the following specific segments and surface areas were calculated:
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Ratio of the sectional length of the CC and the largest linear dimension of the brain from the frontal lobe to the occipital lobe (CD/AB)
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The ratio of the CC cross-sectional area to the midsagittal brain cross-sectional area (AREA1/AREA2)
The measurements were performed independently by two persons using software dedicated to the morphological measurements—the mean results from the two measurements were calculated. The statistical significance of the differences in the measurements of the CC and the brain between the groups of Mensa members and the respective control groups regarding their age (younger and older groups) was examined using the Analysis of Variance (ANOVA) with Bonferroni correction. The differences between the results were considered to be statistically significant at p < 0.05.
Results
The comparative analyses took into account the specific linear measures as well as the cross-sectional areas of the CC and the brain in the male Mensa members and the participants in the respective control groups, regarding two age groups. The results are shown in Table 1.
The comparative analysis showed that the Mensa–control group effect was present for a number of brain and CC parameters with the exception of the whole brain area. The mean length of the CC (CD) and the thickness of the isthmus (EF) were significantly greater in the Mensa male members compared to the control groups. The largest linear dimension of the brain from the frontal lobe to the occipital lobe (AB) was significantly larger in the Mensa members. The mean CC cross-sectional area (AREA1) was significantly greater in the Mensa members. Conversely, no statistically significant differences were identified in the mean brain cross-sectional areas (AREA2). The ratio of the CC cross-sectional area to the brain area (AREA1/AREA2) was significantly higher in the group of Mensa members.
Age effect
Both in the Mensa groups and the control groups, there was a strong age effect on the cross-sectional thickness of the CC in the narrowest location—isthmus (EF). This distance was significantly bigger in older than in younger individuals. A significant age difference was also visible for the ratio of the CC cross-sectional area to the midsagittal brain cross-sectional area (AREA1/AREA2) and midsagittal CC cross-sectional area (AREA1).
Interaction of age and Mensa/control group effects
No significant age × MENSA/control group interactions were found for any of the parameters studied (p > 0.05).
Discussion
Many researchers have tried to identify brain structures responsible for intelligence [10, 22,23,24,25,26,27,28,29,30]. It has also been suggested that human intelligence may be associated with the morphology of the CC [11,12,13,14,15]. The CC is the largest white matter structure in the human brain, consisting of a thick bundle of white fibers [31,32,33]. The CC forms the major connection between the cerebral hemispheres and is thought to play an important role in interhemispheric communication and control. A number of studies carried out so far have investigated the associations between cognitive capacities and the characteristics of the CC morphology [10, 23, 28, 30]. However, there is insufficient evidence related to individuals presenting above-average intelligence.
The current study was designed to assess the differences in the parameters reflecting the dimensions of the CC between the individuals from the control groups and members of Mensa, characterized with high IQ. The study focused only on male participants from specific age groups because of the results of previous studies on the sex and age effect on CC size. Some studies suggest that there are sexual dimorphisms in the morphology of the CC; however, the related results differ across various research groups [15, 21, 34,35,36,37]. There are some studies reporting smaller CC in men than in women [11, 31], but on the other hand some studies indicate the opposite sex effect [34, 37]. An age effect on CC size has also been confirmed [13, 21, 31, 38,39,40,41]. Previous research has found that the CC changes in terms of structure throughout life, predominantly during childhood and adolescence [40,41,42]. In this study, it was found that it becomes thicker in the isthmus between the ages of 21–30 and 31–40.
Midsagittal cross-sectional dimensions of the corpus callosum
The current study found a significantly wider isthmus of the CC (segment EF) and a longer CC (segment CD) in male members of Mensa compared to the control group.
As reported by Men et al. [8], the overall thickness of Einstein’s CC was greater than the mean thickness of this brain structure in the control groups, one of these comprising 15 older adults (70–80 years of age) and the other consisting of 52 young individuals (24–30 years). The researchers found that, compared to the younger group, Einstein’s CC was significantly longer, while no statistically significant differences were identified compared to the older control group.
An analysis of midsagittal measures of regional callosal thickness in 495 participants, performed by Westerhausen et al. [30], showed a positive association between the splenium of the CC and verbal intelligence as well as performance IQ raw test scores obtained with the Wechsler Adult Intelligence Scale-Revised (WAIS-R). On the other hand, Luders et al. [28] noticed negative correlations between callosal thickness and intelligence tested with the Wechsler Abbreviated Scale of Intelligence (WASI), but this study concerned children and adolescents aged 6–17 years. Likewise, Peterson et al. [11] in a study involving participants aged 6–88 years demonstrated that a thinner and more concave anterior callosal body corresponds to higher IQ.
It is suggested that positive correlations between intelligence and the thickness of the posterior callosal section may reflect a more effective transfer of information between the hemispheres, which enables better processing and integration of the information and consequently higher intellectual capacity [10, 35]. Based on previous studies, it was found that the thickening of the CC is an important feature of development, while its thinning may result from a number of disorders affecting the development or impairing this brain structure [40, 43,44,45].
Midsagittal cross-sectional area of the corpus callosum
The midsagittal callosal area is an indicator of the total number of small-diameter fibers in the CC [35]. The present findings showed that the surface area of the CC is greater in the Mensa members compared to the respective control groups. No such relationships were identified in the case of the midsagittal brain cross-sectional area. It may prove the role of CC in intellectual capacity.
Men et al. [8] demonstrated that Einstein’s CC cross-sectional area was significantly greater than in the controls, irrespective of their age. In accordance with the results reported by Millichap et al. [46], a decreased CC cross-sectional area correlated with lower verbal IQ and lower scores in verbal fluency in 72 preterm boys, examined at adolescence (14–15 years of age). Strauss et al. [47] examined 47 patients with epilepsy and 55 normal controls (aged 12–57 years). They found that intellectual capacity, evaluated with the WAIS‑R, was positively related to greater cross-sectional surface area of the posterior callosum. Based on a study by Fine et al. [14], it was suggested that individuals with better reading fluency, achieving higher scores in the WASI test, have a greater cross-sectional surface area in the central segment of the CC compared to the participants with poorer respective results. On the other hand, Hutchinson et al. [13] in a study involving 38 male and 40 female participants (aged 14–25 years) showed that higher IQ on the WASI test was associated with smaller surface area of the posterior CC segments. Likewise, a negative association between the surface area of the CC and intelligence, tested using the Wechsler Intelligence Scale for Children—Revised (WISC-R), was found by Narberhaus et al. [48] in a study involving 64 adolescents born preterm.
Study limitations
The current study has certain limitations. Due to the participation of a specific group of volunteers, our study concerns only young male members of Mensa International. To strengthen any future analysis, it would be desirable to compare not only these two age groups but to evaluate CC sizes in other age groups of both sexes too. Moreover, it would be interesting to become involved in further studies of adults who had been diagnosed with fetal alcohol syndrome disease (FASD), as FASD is associated not only with cognitive disability, but also with CC volume reduction [49,50,51]. The further limitation of this study was that due to personal data protection the authors did not acquire the values of the specific participants and thus it was impossible to check the correlation between CC dimensions and particular IQ results. It would also be desirable to expand our Mensa study in the future with other MRI modalities such as functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) in order to identify and evaluate cognitive possibilities [52, 53] and connectivity within the CC [54,55,56] as well as magnetic resonance spectroscopy (MRS) to evaluate its metabolism [57].
To the best of the authors’ knowledge, this is the first study comparing the size of the CC between Mensa members and matching control groups. The findings show that the dimensions (linear measures and midsagittal cross-sectional surface area) of this structure were significantly greater in members of Mensa analyzed in this study and may be a basis for further studies about the relationship between intelligence and callosal size in other groups of people as well as using other imaging methods.
References
Gottfredson LS (1997) Mainstream science on intelligence: an editorial with 52 signatories, history and bibliography. Intelligence 24:13–23
Haier RJ (2017) The neuroscience of Inteligency. Cambridge University Press, Cambridge
Stern W (1911) Die Differentielle Psychologie in ihren methodischen Grundlagen [Methodological foundations of differential psychology]. Barth, Leipzig
Deary IJ, Penke L, Johnson W (2010) The neuroscience of human intelligence differences. Nat Rev Neurosci 11(3):201–211
Spitzka EA (1907) A study of the brains of six eminent scientists and scholars belonging to the American Anthropometric Society: Together with a description of the skull of Professor E D Cope. Trans Am Philos Soc 21:175–308
Donaldson H, Canavan M (1928) A study of the brains of three scholars. J Comp Neurol 46:1–95
Witelson SF, Kigar DL, Harvey T (1999) The exceptional brain of Albert Einstein. Lancet 353(9170):2149–2153
Men W et al (2014) The corpus callosum of Albert Einstein’s brain: another clue to his high intelligence? Brain 137(4):e268
Atkinson DS Jr. et al (1996) Midsagittal corpus callosum area, intelligence, and language dominance in epilepsy. J Neuroimaging 6(4):235–239
Luders E et al (2009) Neuroanatomical correlates of intelligence. Intelligence 37(2):156–163
Peterson BS et al (2001) Automated measurement of latent morphological features in the human corpus callosum. Hum Brain Mapp 12(4):232–245
Ashby WR, Stewart RM (1934) The brain of the mental defective: a study of morphology in its relation to intelligence: PART II.-The corpus callosum in its relation to intelligence. J Neurol Psychopathol 14(55):217–226
Hutchinson AD et al (2009) Relationship between intelligence and the size and composition of the corpus callosum. Exp Brain Res 192(3):455–464
Fine JG et al (2007) Reading and the corpus callosum: an MRI family study of volume and area. Neuropsychology 21(2):235–241
Ganjavi H et al (2011) Negative associations between corpus callosum midsagittal area and IQ in a representative sample of healthy children and adolescents. PLoS ONE 6(5):e19698
Hulshoff Pol HE et al (2006) Genetic contributions to human brain morphology and intelligence. J Neurosci 26(40):10235–10242
Fogel ML (1968) Mensa society. Am Psychol 23(6):457
Taft R (1971) A note on the characteristics of the members of Mensa, a potential subject pool. J Soc Psychol 83:107–111
Wechsler D (1955) Manual for the Wechsler adult intelligence scale. Psychological Corporation
Cattell RB (1943) The measurement of adult intelligence. Psychol Bull 40(3):153–193
Guz W et al (2019) Analysis of corpus callosum size depending on age and sex. Folia Morphol 78(1):24–32
Toga AW, Thompson PM (2005) Genetics of brain structure and intelligence. Annu Rev Neurosci 28:1–23
Witelson SF, Beresh H, Kigar DL (2006) Intelligence and brain size in 100 postmortem brains: sex, lateralization and age factors. Brain 129(Pt 2):386–398
Yu C et al (2008) White matter tract integrity and intelligence in patients with mental retardation and healthy adults. Neuroimage 40(4):1533–1541
Li Y et al (2009) Brain anatomical network and intelligence. PLoS Comput Biol 5(5):e1000395
Tamnes CK et al (2011) The brain dynamics of intellectual development: waxing and waning white and gray matter. Neuropsychologia 49(13):3605–3611
Goh S et al (2011) Neuroanatomical correlates of intellectual ability across the life span. Dev Cogn Neurosci 1(3):305–312
Luders E et al (2011) The link between callosal thickness and intelligence in healthy children and adolescents. Neuroimage 54(3):1823–1830
Khundrakpam BS et al (2017) Imaging structural covariance in the development of intelligence. Neuroimage 144(Pt A):227–240
Westerhausen R et al (2018) The corpus callosum as anatomical marker of intelligence? A critical examination in a large-scale developmental study. Brain Struct Funct 223(1):285–296
Sullivan EV et al (2001) Sex differences in corpus callosum size: relationship to age and intracranial size. Neurobiol Aging 22(4):603–611
Zaidel E, Iacoboni M (2003) The parallel brain. MIT Press, Cambridge
Siffredi V et al (2017) Neural correlates of working memory in children and adolescents with agenesis of the corpus callosum: An fMRI study. Neuropsychologia 106:71–82
Luders E et al (2006) Gender effects on callosal thickness in scaled and unscaled space. Neuroreport 17(11):1103–1106
Luders E et al (2007) Positive correlations between corpus callosum thickness and intelligence. Neuroimage 37(4):1457–1464
Rushton JP, Ankney CD (2009) Whole brain size and general mental ability: a review. Int J Neurosci 119(5):691–731
Luders E, Toga AW, Thompson PM (2014) Why size matters: differences in brain volume account for apparent sex differences in callosal anatomy: the sexual dimorphism of the corpus callosum. Neuroimage 84:820–824
Cowell PE et al (1992) A developmental study of sex and age interactions in the human corpus callosum. Brain Res Dev Brain Res 66(2):187–192
Thompson P et al (2000) Mapping structural alterations of the corpus callosum during brain development and degeneration. In: Proceedings of the NATO ASI on the Corpus Callosum. Kluwer Academic Press, New York
Andronikou S et al (2015) Corpus callosum thickness in children: an MR pattern-recognition approach on the midsagittal image. Pediatr Radiol 45(2):258–272
Luders E, Thompson PM, Toga AW (2010) The development of the corpus callosum in the healthy human brain. J Neurosci 30(33):10985–10990
Fabri M et al (2014) Functional topography of the corpus callosum investigated by DTI and fMRI. World J Radiol 6(12):895–906
Matsumoto A et al (2018) The presence of diminished white matter and corpus callosal thinning in a case with a SOX9 mutation. Brain Dev 40(4):325–329
Simpson LN et al (2020) Morphological changes of the dorsal contour of the corpus callosum during the first two years of life. Pediatr Radiol 50(4):543–549
Tanaka-Arakawa MM et al (2015) Developmental changes in the corpus callosum from infancy to early adulthood: a structural magnetic resonance imaging study. PLoS ONE 10(3):e118760
Millichap J (2004) Corpus callosum size and verbal intelligence. Pediatr Neurol Briefs 9:18
Strauss E, Wada J, Hunter M (1994) Callosal morphology and performance on intelligence tests. J Clin Exp Neuropsychol 16(1):79–83
Narberhaus A et al (2007) Gestational age at preterm birth in relation to corpus callosum and general cognitive outcome in adolescents. J Child Neurol 22(6):761–765
Popova S et al (2023) Fetal alcohol spectrum disorders. Nat Rev Dis Primers 9(1):11
Jacobson SW et al (2017) Heavy prenatal alcohol exposure is related to smaller corpus callosum in newborn MRI scans. Alcohol Clin Exp Res 41(5):965–975
Biffen SC et al (2017) Reductions in corpus callosum volume partially mediate effects of prenatal alcohol exposure on IQ. Front Neuroanat 11:132
Bartha-Doering L et al (2021) The role of the corpus callosum in language network connectivity in children. Dev Sci 24(2):e13031
Hearne LJ et al (2019) Increased cognitive complexity reveals abnormal brain network activity in individuals with corpus callosum dysgenesis. Neuroimage Clin 21:101595
Bartha-Doering L et al (2021) Effect of corpus callosum agenesis on the language network in children and adolescents. Brain Struct Funct 226(3):701–713
van Meer N et al (2016) Interhemispheric connections between the primary visual cortical areas via the anterior commissure in human callosal agenesis. Front Syst Neurosci 10:101
De Reyes León NS, Bragg-Gonzalo L, Nieto M (2020) Development and plasticity of the corpus callosum. Development 147:18
Jung RE et al (2009) Imaging intelligence with proton magnetic resonance spectroscopy. Intelligence 37(2):192–198
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AU was responsible for the conceptualization. AU, WG, MG, ESz, AM, MS and MSt were responsible for the project administration and investigation. MO collected and analyzed the data. AU and MO wrote the original draft. All authors edited and reviewed the manuscript. All authors approved the final manuscript version.
Data availability
The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request.
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A. Urbanik, W. Guz, M. Gołębiowski, E. Szurowska, A. Majos, M. Sąsiadek, M. Stajgis and M. Ostrogórska declare that they have no competing interests.
All procedures performed in studies involving human participants or on human tissue were in accordance with the ethical standards of the institutional and/or national research committee (Bioethics Commission at Jagiellonian University (approval no. 122.6120.28.2017)) and with the 1975 Helsinki declaration and its later amendments or comparable ethical standards. Informed consent was obtained from all individual participants included in the study.
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Urbanik, A., Guz, W., Gołębiowski, M. et al. Assessment of the corpus callosum size in male individuals with high intelligence quotient (members of Mensa International). Radiologie 63 (Suppl 2), 49–54 (2023). https://doi.org/10.1007/s00117-023-01146-3
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DOI: https://doi.org/10.1007/s00117-023-01146-3
Keywords
- Brain
- Isthmus thickness
- Intelligence factors
- Magnetic resonance imaging (MRI)
- Morphological measurements