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Comparative neuroanatomy: Integrating classic and modern methods to understand association fibers connecting dorsal and ventral visual cortex.
- Source :
-
Neuroscience Research . Sep2019, Vol. 146, p1-12. 12p. - Publication Year :
- 2019
-
Abstract
- • Advanced neuroimaging methods are useful for comparative neuroanatomy studies. • Modern diffusion MRI replicates classic strychnine neuronography findings. • Quantitative MRI maps are similar to classic myelin stains across species. • Historical neuroanatomy guides interpretations of comparative neuroimaging studies. Comparative neuroanatomy studies improve understanding of brain structure and function and provide insight regarding brain development, evolution, and also what features of the brain are uniquely human. With modern methods such as diffusion MRI (dMRI) and quantitative MRI (qMRI), we are able to measure structural features of the brain with the same methods across human and non-human primates. In this review article, we discuss how recent dMRI measurements of vertical occipital connections in humans and macaques can be compared with previous findings from invasive anatomical studies that examined connectivity, including relatively forgotten classic strychnine neuronography studies. We then review recent progress in understanding the neuroanatomy of vertical connections within the occipitotemporal cortex by combining modern quantitative MRI and classical histological measurements in human and macaque. Finally, we a) discuss current limitations of dMRI and tractography and b) consider potential paths for future investigations using dMRI and tractography for comparative neuroanatomical studies of white matter tracts between species. While we focus on vertical association connections in visual cortex in the present paper, this same approach can be applied to other white matter tracts. Similar efforts are likely to continue to advance our understanding of the neuroanatomical features of the brain that are shared across species, as well as to distinguish the features that are uniquely human. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 01680102
- Volume :
- 146
- Database :
- Academic Search Index
- Journal :
- Neuroscience Research
- Publication Type :
- Academic Journal
- Accession number :
- 137682622
- Full Text :
- https://doi.org/10.1016/j.neures.2018.10.011