Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2008-1-17
pubmed:abstractText
The application of deep brain stimulation (DBS) for the treatment of Parkinson's disease offered a direct "insight" into the human electrical activity in subcortical structures. The analysis of the oscillatory activity [local field potentials (LFPs)] disclosed the importance of rhythms and of interactions between rhythms in the human basal ganglia information processing. The aim of this study was to investigate the existence of possible nonlinear interactions between LFP rhythms characterizing the output structure of the basal ganglia, the globus pallidus internus, by means of bispectral analysis. The results of this study disclosed that the rhythms expressed in the globus pallidus internus of the untreated parkinsonian patient are not independent and, in particular, the low-beta (13-20 Hz) band generates harmonics that are included in the high-beta (20-35 Hz) band. Conversely, in the dystonic globus pallidus, as well as in the parkinsonian globus pallidus after dopaminergic medication (i.e., in the more "normal" condition), the rhythms are substantially independent and characterized by a strong activity in the low-frequency band that generates a second harmonic (4-14 Hz), mostly included in the same band. The interactions between rhythms in the human globus pallidus are therefore different in different pathologies and in different patient's states. The interpretation of these interactions is likely critical for fully understanding the role of LFP rhythms in the pathophysiology of human basal ganglia.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
1534-4320
pubmed:author
pubmed:issnType
Print
pubmed:volume
15
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
483-92
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Interaction between rhythms in the human basal ganglia: application of bispectral analysis to local field potentials.
pubmed:affiliation
Dipartimento di Scienze Neurologiche, Università di Milano, Fondazione IRCCS Ospedale Maggiore, Policlinico, Mangiagalli e Regina Elena, Milan, Italy. sara.marceglia@policlinico.mi.it
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't