Non-metric multidimensional scaling in the analysis of neuroanatomical connection data and the organization of the primate cortical visual system
- 30 May 1995
- journal article
- Published by The Royal Society in Philosophical Transactions Of The Royal Society B-Biological Sciences
- Vol. 348 (1325) , 281-308
- https://doi.org/10.1098/rstb.1995.0069
Abstract
Neuroanatomists have established that the various gross structures of the brain are divided into a large number of different processing regions and have catalogued a large number of connections between these regions. The connectional data derived from neuroanatomical studies are complex, and reliable conclusions about the organization of brain systems cannot be drawn from considering them without some supporting analysis. Recognition of this problem has recently led to the application of a variety of techniques to the analysis of connection data. One of the techniques that we previously employed, nonmetric multidimensional scaling (nmds), appears to have revealed important aspects of the organization of the central nervous system, such as the gross organization of the whole cortical network in two species. We present here a detailed treatment of methodological aspects of the application of nmds to connection data. We first examine in detail the particular properties of neuroanatomical connection data. Second, we consider the details of nmds and discuss the propriety of different possible nmds approaches. Third, we present results of the analyses of connection data from the primate visual system, and discuss their interpretation. Fourth, we study independent analyses of the organization of the visual system, and examine the relation between the results of these analyses and those from nmds. Fifth, we investigate quantitatively the performance of a number of data transformation and conditioning procedures, as well as tied and untied nmds analysis of untransformed low-level data, to determine how well nmds can recover known metric parameters from artificial data. We then re-analyse real connectivity data with the most successful methods at removing the effects of sparsity, to ensure that this aspect of data structure does not obscure others. Finally, we summarize the evidence on the connectional organization of the primate visual system, and discuss the reliability of nmds analyses of neuroanatomical connection data.Keywords
This publication has 37 references indexed in Scilit:
- Separate visual pathways for perception and actionPublished by Elsevier ,2003
- The organization of neural systems in the primate cerebral cortexProceedings Of The Royal Society B-Biological Sciences, 1993
- The connectional organization of neural systems in the cat cerebral cortexCurrent Biology, 1993
- Heterogeneity of extrastriate visual areas and multiple parietal areas in the Macaque monkeyNeuropsychologia, 1991
- Connection, a microcomputer program for storing and analyzing structural properties of neural circuitsComputers and Biomedical Research, 1990
- Metric and Euclidean properties of dissimilarity coefficientsJournal of Classification, 1986
- Laminar origins and terminations of cortical connections of the occipital lobe in the rhesus monkeyBrain Research, 1979
- Additive Structure in Qualitative Data: An Alternating Least Squares Method with Optimal Scaling FeaturesPsychometrika, 1976
- Seriation of Anthropological Data: A Computer Program for Matrix-OrderingAmerican Anthropologist, 1966
- Nonmetric Multidimensional Scaling: A Numerical MethodPsychometrika, 1964