4.5 Article

Stereological Analysis of the Rat and Monkey Amygdala

Journal

JOURNAL OF COMPARATIVE NEUROLOGY
Volume 519, Issue 16, Pages 3218-3239

Publisher

WILEY
DOI: 10.1002/cne.22677

Keywords

amygdaloid complex; neuron; astrocyte; oligodendrocyte; neuropil; human

Funding

  1. Swiss National Science Foundation [PP00A-106701, PP00P3-124536, PMPDP3_122844, PMPDP3_128996]
  2. National Institutes of Health (NIH) [RO1-MH041479]
  3. California National Primate Research Center [RR00169]
  4. Swiss National Science Foundation (SNF) [PMPDP3_128996, PMPDP3_122844] Funding Source: Swiss National Science Foundation (SNF)

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The amygdala is part of a neural network that contributes to the regulation of emotional behaviors. Rodents, especially rats, are used extensively as model organisms to decipher the functions of specific amygdala nuclei, in particular in relation to fear and emotional learning. Analysis of the role of the nonhuman primate amygdala in these functions has lagged work in the rodent but provides evidence for conservation of basic functions across species. Here we provide quantitative information regarding the morphological characteristics of the main amygdala nuclei in rats and monkeys, including neuron and glial cell numbers, neuronal soma size, and individual nuclei volumes. The volumes of the lateral, basal, and accessory basal nuclei were, respectively, 32, 39, and 39 times larger in monkeys than in rats. In contrast, the central and medial nuclei were only 8 and 4 times larger in monkeys than in rats. The numbers of neurons in the lateral, basal, and accessory basal nuclei were 14, 11, and 16 times greater in monkeys than in rats, whereas the numbers of neurons in the central and medial nuclei were only 2.3 and 1.5 times greater in monkeys than in rats. Neuron density was between 2.4 and 3.7 times lower in monkeys than in rats, whereas glial density was only between 1.1 and 1.7 times lower in monkeys than in rats. We compare our data in rats and monkeys with those previously published in humans and discuss the theoretical and functional implications that derive from our quantitative structural findings. J. Comp. Neurol. 519:3218-3239, 2011. (C) 2011 Wiley-Liss, Inc.

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