Compound Potentials of the Brain, Ongoing and Evoked: Perspectives from Comparative Neurology
Fluctuating membrane potentials and various kinds of episodic potentials of action or oscillation are of general occurrence among nerve cells as well as other kinds of cells, for example, the cells of the blastula (Burr and Bullock 1941), the skin, gland, gut, muscle, and blood vessels.
At least six different kinds of active potentials are known in neurons and parts of neurons, including synaptic potentials with various properties, hyperpolarizations with long duration and decreased conductance, plateau potentials, pacemaker potentials, spikes, and negative and positive afterpotentials. The power spectrum of all these processes extends from dc to several kHz.
Lamination or other geometric biases can be expected to influence the summing of these cellular sources in special situations.
The null hypothesis of the independence of generators predicts a certain level of coincidence, depending on the duration of the cellular event and the definition of simultaneity.
Therefore large numbers of generators, small and large, are operative, in all orientations, some rhythmically but many episodically and generating broad-band signals, mostly spreading decrementally. The composite will therefore have a lot of spatial microstructure and less and less structure at macro levels. What cannot be predicted is the amplitude, frequency, and spatial and temporal structure.
KeywordsAnisotropy Respiration Retina Coherence Boiling
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- Adrian ED, Matthews BHC (1934) The interpretation of potential waves in the cortex. J Physiol (Lond) 81: 440–471Google Scholar
- Allison T (1972) Comparative and evolutionary aspects of sleep. In: Chase MH (ed) The sleeping brain. Brain Information Service, Brain Research Institute, UCLA, Los Angeles, pp 1–57Google Scholar
- Basar E (1980) EEG-brain dynamics, relation between EEG and brain evoked potentials. Elsevier, AmsterdamGoogle Scholar
- Bullock TH (1980) Reassessment of neural connectivity and its specification. In: Pinksker HM, Willis WD (eds) Information processing in the nervous system. Raven, New York, pp 199–220Google Scholar
- Bullock TH, Lange GD, McClune MC (1983) Spatial structure of cortical EEG: synchrony of small populations can be measured by coherence as function of distance. Neurosci Abstr 9: 11–94Google Scholar
- Bullock TH, Lange GD, McClune MC (1984) A measure of synchrony in the cortical EEG: the slow wave drowsy state is slightly more synchronized horizontally than the low voltage fast state. Neurosci Abstr 10: 11–43Google Scholar
- Creutzfeldt O, Houchin J (1974) Neuronal basis of EEG waves. In: Remond A (ed) Handbook of electroencephalography and clinical neurophysiology, vol 2, part C. Elsevier, Amsterdam, pp 555Google Scholar
- Danilova NN (1975) Neuronal mechanisms of synchronization and desynchronization of electrical activity of the brain. In: Sokolov EN, Vinogradova OS (eds) Neuronal mechanisms of the orienting reflex. Erlbaum, Hillsdale; Wiley, New York, pp 178–199Google Scholar
- Klemm WR (1969) Animal electroencephalography. Academic, New YorkGoogle Scholar
- Laming PR (1981) The physiological basis of alert behaviour in fish. In: Laming PR (ed) Brain mechanisms of behaviour in lower vertebrates. Cambridge University Press, Cambridge, pp 203–224Google Scholar
- Laming PR (1983) Relationships between the responses of visual units, EEGs and slow potential shifts in the optic tectum of the toad. In: Ewert J-P, Capranica RR, Ingle DJ (eds) Advances in vertebrate neuroethology. Plenum, New York, pp 595–602 (NATO ASI Series A: Life sciences, vol 56 )Google Scholar
- Lopes da Silva F, van Rotterdam A (1982) Biophysical aspects of EEG and MEG generation. In: Niedermeyer E, Lopes da Silva F (eds) Electroencephalography: basic principles, clinical applications and related fields. Urban and Schwarzenberg, Baltimore, pp 15–26Google Scholar
- Mitzdorf U (1985) Visually and electrically evoked field potentials and current source densities in the cat visual cortex. In: Morocutti C, Rizzo PA (eds) Evoked potentials. Neurophysiological and clinical aspects. Elsevier, Amsterdam, pp 273–279Google Scholar
- Schadé JP, Weiler PJ (1959) EEG patterns in goldfish. J Exp Biol 36: 435–452Google Scholar