Cortical function in migraine: what can performance on visual tasks reveal?
Shepherd, Alex J. (2003) Cortical function in migraine: what can performance on visual tasks reveal? In: the XI Congress of the International Headache Society, 2003, Rome, Italy. (Unpublished)
Abstract
Models of cortical function in migraine include hyperexcitability and heightened responsiveness, hypoexcitability and low cortical preactivation, and/or a disruption of intracortical inhibition and excitation. Clarifying these alternatives is possible with performance measures, notably visual, that compare migraine and healthy control groups. Shepherd (2001) reported larger aftereffects in migraine in a study that examined the altered appearance of test gratings following adaptation, which suggested a prolonged suppression of neuronal response. Another consequence of adaptation is elevated detection thresholds for similar patterns unless they are presented very briefly, suggesting that the effects of the cellular and synaptic components of adaptation are separable (Wilson and Humanski, 1993). The first study presented here examined the separable cellular and synaptic components of adaptation, by determining threshold discriminations for very brief and longer test patterns, before and after adaptation. The second examined heightened responsiveness as a factor in any abnormal cortical response by comparing perceptual asymmetries in migraine and control groups. The third comprised an assessment of pattern sensitivity. The same migraine and control participants completed each task, as correlations between different tasks also inform on models of cortical function in migraine.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
School: | Birkbeck Faculties and Schools > Faculty of Science > School of Psychological Sciences |
Depositing User: | Sarah Hall |
Date Deposited: | 24 Feb 2020 13:10 |
Last Modified: | 02 Aug 2023 17:58 |
URI: | https://eprints.bbk.ac.uk/id/eprint/31059 |
Statistics
Additional statistics are available via IRStats2.