Understanding the organization of the cerebral cortex remains a central focus of neuroscience. Cortical maps have relied almost exclusively on the examination of postmortem tissue to construct structural, architectonic maps. These maps have invariably distinguished between areas with fewer discernable layers, which have a less complex overall pattern of lamination and lack an internal granular layer, and those with more complex laminar architecture. The former includes several agranular limbic areas, and the latter includes the homotypical and granular areas of association and sensory cortex. Here, we relate these traditional maps to developmental data from noninvasive neuroimaging. Changes in cortical thickness were determined in vivo from 764 neuroanatomic magnetic resonance images acquired longitudinally from 375 typically developing children and young adults. We find differing levels of complexity of cortical growth across the cerebrum, which align closely with established architectonic maps. Cortical regions with simple laminar architecture, including most limbic areas, predominantly show simpler growth trajectories. These areas have clearly identified homologues in all mammalian brains and thus likely evolved in early mammals. In contrast, polysensory and high-order association areas of cortex, the most complex areas in terms of their laminar architecture, also have the most complex developmental trajectories. Some of these areas are unique to, or dramatically expanded in primates, lending an evolutionary significance to the findings. Furthermore, by mapping a key characteristic of these development trajectories (the age of attaining peak cortical thickness) we document the dynamic, heterochronous maturation of the cerebral cortex through time lapse sequences (“movies”).

https://www.jneurosci.org/content/jneuro/28/14/3586.full.pdf

Neurodevelopmental Trajectories of the Human Cerebral Cortex

https://www.cell.com/trends/neurosciences/pdf/S0166-2236(08)00132-X.pdf

White matter in learning, cognition and psychiatric disorders.

https://docs.autismresearchcentre.com/papers/2014_Ruigrok_Meta_Sex_Differences.pdf

A meta-analysis of sex differences in human brain structure

Neuroscience is contributing to an understanding of the biological bases of human intelligence differences. This work is principally being conducted along two empirical fronts: genetics — quantitative and molecular — and brain imaging. Quantitative genetic studies have established that there are additive genetic contributions to different aspects of cognitive ability — especially general intelligence — and how they change through the lifespan. Molecular genetic studies have yet to identify reliably reproducible contributions from individual genes. Structural and functional brain-imaging studies have identified differences in brain pathways, especially parieto-frontal pathways, that contribute to intelligence differences. There is also evidence that brain efficiency correlates positively with intelligence.

/pdf/the-neuroscience-of-human-intelligence-differences-2mdlx5it3p.pdf

The Neuroscience of Human Intelligence Differences

Inter-individual differences in the thickness or volume of a brain region often co-vary with inter-individual differences in other brain regions. Alexander-Bloch, Giedd and Bullmore discuss this phenomenon of structural co-variance, its underlying mechanisms and its potential value in the understanding of various brain disorders.

/pdf/imaging-structural-co-variance-between-human-brain-regions-1bxjddk0i6.pdf

Imaging structural co-variance between human brain regions.

Prior studies show positive correlations between full-scale intelligence quotient (FSIQ) and cerebral gray matter measures. Few imaging studies have addressed whether general intelligence is related to regional variations in brain tissue and the associated influences of sex. Cortical thickness may more closely reflect cytoarchitectural characteristics than gray matter density or volume estimates. To identify possible localized relationships, we examined FSIQ associations with cortical thickness at high spatial resolution across the cortex in healthy young adult (age 17-44 years) men (n = 30) and women (n = 35). Positive relationships were found between FSIQ and intracranial gray and white matter but not cerebrospinal fluid volumes. Significant associations with cortical thickness were evident bilaterally in prefrontal (Brodmann's areas [BAs] 10/11, 47) and posterior temporal cortices (BA 36/37) and proximal regions. Sex influenced regional relationships; women showed correlations in prefrontal and temporal association cortices, whereas men exhibited correlations primarily in temporal-occipital association cortices. In healthy adults, greater intelligence is associated with larger intracranial gray matter and to a lesser extent with white matter. Variations in prefrontal and posterior temporal cortical thickness are particularly linked with intellectual ability. Sex moderates regional relationships that may index dimorphisms in cognitive abilities, overall processing strategies, or differences in structural organization.

/pdf/relationships-between-iq-and-regional-cortical-gray-matter-32tk6u9hph.pdf

Relationships between IQ and Regional Cortical Gray Matter Thickness in Healthy Adults

http://users.loni.ucla.edu/~thompson/PDF/Narr2006_Asymmetries.pdf

Asymmetries of cortical shape: Effects of handedness, sex and schizophrenia

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Relationships between IQ and Regional Cortical Gray Matter Thickness in Healthy Adults

Asymmetries of cortical shape: Effects of handedness, sex and schizophrenia