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  • Alertness  (1)
  • Dipole models  (1)
  • Intracranial source localization  (1)
  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Experimental brain research 10 (1970), S. 283-297 
    ISSN: 1432-1106
    Keywords: Lateral geniculate nucleus ; Alertness ; Non-alertness ; Sleep
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Summary 1. Cats with chronically implanted electrodes have been used to study the excitability of the lateral geniculate nucleus (LGN) during alertness, non-alertness and sleep. Excitability has been assessed by the amplitude of the field response in the LGN to electrical stimulation of the optic tract and by the amplitude of the antidromic response in the optic tract evoked by stimulating the LGN. 2. Changes in responsiveness associated with eye movements in the awake animal have been avoided. The change from the alert state to the non-alert state is accompanied by a decrease in the excitability of both the LGN cells and the optic tract nerve endings. 3. Postsynaptic excitability decreases further in slow-wave (SW) sleep but during low-voltage-fast-activity (LVF) sleep it returns to a level that is intermediate between that of alertness and non-alertness. During the ponto-geniculooccipital (PGO) waves of LVF sleep excitability is phasically enhanced to above the alert level. 4. Presynaptic excitability during SW sleep and LVF sleep in the intervals between the PGO waves is less than during non-alertness, but during the waves it returns to the alert level. 5. Our findings indicate that the optic tract endings are tonically depolarized in the alert animal and that the depolarization is reduced in non-alertness and reduced further in sleep. Depolarization is phasically enhanced during the PGO waves. 6. It is suggested that the LGN may be the first site on the visual pathway at which information is modified according to the animal's state of consciousness.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Brain topography 3 (1991), S. 373-379 
    ISSN: 1573-6792
    Keywords: Current source derivation ; Scalp topography ; Intracranial source localization ; Components ; Dipole models
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Summary An analytic method has recently been proposed for partitioning scalp-recorded EEG and evoked potential (EP) data into parts arising from deep (i.e., subcortical) vs. superficial (i.e., cortical) sources. The method is based on the observation that the current source density (CSD) is selectively sensitive to electrical activity arising from superficial sources, and the conjecture that the residual potential which remains after subtracting the CSD from the scalp potentials, represents activity from deep sources. We investigated the validity of this procedure by simulating scalp potential data for superficial and deep dipole sources with known locations and orientations. Our single-dipole simulations demonstrated that, when the actual location of the source was superficial, the partitioning procedure erroneously attributed a sizeable proportion of the total topographic variance to the activity of deeper sources. This produced a consistent bias in the simulations with two dipoles, when both superficial and deep sources were present. In such cases, the relative contribution of the deeper source was consistently overestimated, and the scalp topography of the deep source activity was profoundly misrepresented by the residual which results from subtracting the CSD from the scalp potential. We conclude that the proposed method for partitioning EEG and EP data into components arising from deep vs. superficial intracranial sources is not valid.
    Type of Medium: Electronic Resource
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