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 18,428 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

This paper reports and illustrates in figurine style results obtained by electrical stimulation of the cortex in 20 patients and by recording of cortical evoked potentials (EPs) in 13 of these patients, whose surgery required wide exposure of the Rolandic or paracentral regions of the cortex. This study is unique in that cutaneous receptive fields related to specific cortical sites were defined by mechanical stimulation, as is done in animals, in contrast to electrical stimulation of peripheral nerves at fixed sites, as in scalp EP recordings. Observations were made on pre- and postcentral gyri, on the second somatic sensory-motor area, on the supplementary motor area, and on the supplementary sensory area. In two patients with phantom limb pain, the pain was elicited in one on stimulation of the postcentral arm area, and in the other on stimulation of the supplementary sensory leg area. Surgical removal of these areas had the immediate effect of abolishing the phantoms and the pain. Long-term follow-up review was not possible. In one patient with severe Parkinson's disease, stimulating currents subthreshold for the elicitation of movement resulted in disappearance of tremor and rigidity for short periods after stimulation of the precentral gyrus. The possible patterns of organization of the human pre- and postcentral areas are considered and compared with those of the chimpanzee and other primates. In patients in whom data from pre- and postcentral gyri were adequate, it appeared that the precentral face-arm boundary is situated 1 to 2 cm higher than the corresponding postcentral boundary.
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PMID:Localization in somatic sensory and motor areas of human cerebral cortex as determined by direct recording of evoked potentials and electrical stimulation. 47 34

Thalamic neurons are known to switch their firing from a tonic pattern during wakefulness to a bursting pattern during sleep. Several studies have described the existence of bursting activity in awake chronic pain patients and have suggested that this activity is abnormal and may be related to their pain. However, we have frequently observed bursting activity in awake non-pain patients suggesting that there may not be a causal relationship between thalamic bursting activity and chronic pain. To examine this issue more rigorously we compared the incidence and pattern of bursting activity of lateral thalamic neurons of both pain and non-pain patients in a state of wakefulness. Recordings were obtained from lateral thalamic areas of different groups of patients (n = 91) suffering from pain disorders (e.g. anaesthesia dolorosa, phantom limb pain, trigeminal neuralgia, post-stroke pain) and motor disorders (e.g. Parkinson's disease, essential tremor) during stereotactic surgical procedures for the treatment of pain and movement disorders. Burst indices (the number of bursting cells per electrode track) were computed for all the explorations in the two groups. The burst indices in the pain and non-pain groups (1.73 +/- 0.28 and 1.14 +/- 0.16, respectively) were not significantly different from each other. The bursts were analyzed to see if they fulfilled the criteria of low-threshold calcium spike (LTS)-evoked bursts characterized by (i) a shortening of the first interspike interval with an increase in the number of interspike intervals in the burst and also (ii) a progressive prolongation of successive interspike intervals. LTS-evoked bursts were identified in 27/47 (57%) bursting cells in pain patients and 15/32 (47%) cells in non-pain patients. These data demonstrate that the occurrence of bursting activity and of LTS-evoked bursts in the human thalamus is prevalent in both pain and non-pain patients. This suggests that the bursting activity of thalamic neurons in pain patients is not necessarily related to the occurrence of their pain.
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PMID:A comparison of the burst activity of lateral thalamic neurons in chronic pain and non-pain patients. 1034 18

This manuscript is the second part of a two-part description of the current status of understanding of the network function of the brain in health and disease. We start with the concept that brain function can be understood only by understanding its networks, how and why information flows in the brain. The first manuscript dealt with methods for network analysis, and the current manuscript focuses on the use of these methods to understand a wide variety of neurological and psychiatric disorders. Disorders considered are neurodegenerative disorders, such as Alzheimer disease and amyotrophic lateral sclerosis, stroke, movement disorders, including essential tremor, Parkinson disease, dystonia and apraxia, epilepsy, psychiatric disorders such as schizophrenia, and phantom limb pain. This state-of-the-art review makes clear the value of networks and brain models for understanding symptoms and signs of disease and can serve as a foundation for further work.
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PMID:Human brain connectivity: Clinical applications for clinical neurophysiology. 3241 3