Linked Life Data

11180500

Source:http://linkedlifedata.com/resource/pubmed/id/11180500

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2001-1-19
pubmed:abstractText
Interspike intervals (ISIs) of dopamine (DA) neurons recorded in the substantia nigra are predicted partially by their immediate prior history. This study was designed to assess neuroanatomic origins of these sequential relationships. ISI data recorded from three groups of nigral DA neurons were studied: 1) 16 neurons recorded in unlesioned animals, 2) 14 neurons recorded after forebrain hemisection, 3) 12 neurons recorded after partial forebrain hemisection that reproduced nonspecific effects of the surgical lesion while leaving forebrain connections intact. As predicted, DA neurons recorded after full forebrain hemisection yielded statistically significant reductions in sequential predictability relative to control neurons and neurons recorded following partial hemisection. These data support the hypothesis that the sequence-dependent behavior of DA neurons arise in part from interactions with forebrain structures. ISI sequences recorded from unlesioned rats demonstrated maximum predictability when an average of 3.7 prior events were incorporated into the forecasting algorithm, thereby suggesting a physiological process whose "depth" of history-dependence is approximately 600-800 msec. Additional studies examining the functional significance of sequence-dependent ISI structure exhibited by nigral DA neurons are indicated.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
0887-4476
pubmed:author
pubmed:issnType
Print
pubmed:volume
39
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
133-8
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
2001
pubmed:articleTitle
Anatomic basis of sequence-dependent predictability exhibited by nigral dopamine neuron firing patterns.
pubmed:affiliation
Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut 06520-8099, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.