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M. L. REITE, MD; J. M. RHODES, PhD; E. KAVAN, MD; W. R. ADEY, MD

Arch Neurol. 1965;12(2):133-144.

	Since this article does not have an abstract, we have provided the first 150 words of the full text PDF and any section headings.

Introduction

THE PURPOSE of this paper is to attempt a more complete definition of the normal sleep pattern of the monkey Macaca nemestrina and to investigate the electrical activity of the cortex and various deep brain structures during sleep by means of the electroencephalogram and the averaged evoked response to a sound stimulus.

The majority of neurophysiological studies on sleep during the last few years have been primarily concerned with the cat. Lately, however, there has arisen some evidence that certain differences exist between sleep in the cat and sleep in the subhuman primate,^1,25 suggesting that, by phylogenetic affinities to man, other primates may assist materially in the elucidation of human sleep mechanisms.

Extensive work has been carried out on the neurophysiology of sleep in the cat.^7,16,17,29 The natural sleep of cats is divided by most observers into two basic stages.^7,22 The first is one of . . . [Full Text PDF of this Article]

Author Affiliations
LOS ANGELES

Departments of anatomy and physiology and Brain Research Institute, Health Sciences Center, University of California.

Footnotes
Received for publication Sept 29, 1964.

Resident in Psychiatry, Neuropsychiatric Institute, University of California at Los Angeles (Dr. Reite); formerly Assistant Research Anatomist, Space Biology Laboratory, Brain Research Institute, University of California at Los Angeles; present address: Department of Psychology, University of New Mexico, Albuquerque, NM (Dr. Rhodes); Assistant Professor of Anesthesiology, University of California School of Medicine, Los Angeles (Dr. Kavan); Professor of Anatomy and Physiology, and Director, Space Biology Laboratory, Brain Research Institute, University of California at Los Angeles (Dr. Adey).

Supported by USPHS grant B-01883, and US Air Force grant AF-AFOSR 246-63. Data analysis techniques were developed and supported by NASA contract NsG 505.

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