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Spontaneous dynamics of human thalam...
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New York University.
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Spontaneous dynamics of human thalamocortical dysrhythmias.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Spontaneous dynamics of human thalamocortical dysrhythmias./
作者:
Schulman, Joshua J.
面頁冊數:
235 p.
附註:
Adviser: Rodolfo Llinas.
Contained By:
Dissertation Abstracts International65-03B.
標題:
Biology, Neuroscience. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=3127490
ISBN:
9780496747542
Spontaneous dynamics of human thalamocortical dysrhythmias.
Schulman, Joshua J.
Spontaneous dynamics of human thalamocortical dysrhythmias.
- 235 p.
Adviser: Rodolfo Llinas.
Thesis (Ph.D.)--New York University, 2004.
Abnormal spontaneous thalamocortical oscillations---termed thalamocortical dysrhythmias---have been proposed as the underlying mechanism for a subset of disorders that bridge the traditional delineations of neurology and neuropsychiatry. Non-invasive whole-head magnetoencephalographic (MEG) recordings of subjects with schizoaffective and obsessive-compulsive disorders, subjects with neuropathic pain, and a group of healthy controls were performed to delineate modes of ongoing activity in these groups.
ISBN: 9780496747542Subjects--Topical Terms:
1017680
Biology, Neuroscience.
Spontaneous dynamics of human thalamocortical dysrhythmias.
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Abnormal spontaneous thalamocortical oscillations---termed thalamocortical dysrhythmias---have been proposed as the underlying mechanism for a subset of disorders that bridge the traditional delineations of neurology and neuropsychiatry. Non-invasive whole-head magnetoencephalographic (MEG) recordings of subjects with schizoaffective and obsessive-compulsive disorders, subjects with neuropathic pain, and a group of healthy controls were performed to delineate modes of ongoing activity in these groups.
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Spectral analysis using a multi-taper approach revealed theta-range (4--8 Hz) power increases which were principally localized to prefrontal and temporal cortices in the neuropsychiatric group and somatosensory areas in the pain patients. In each case, the MEG timeseries was decomposed with the Infomax-based independent component analysis (ICA) algorithm which facilitated a focus on theta-range aspects of the signal; a recursive weighted minimum-norm method was used to localize the power distribution of these components in a standardized sourcespace constructed from a probabilistic atlas.
520
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Furthermore, recordings from subjects with large structural lesions revealed mixed gamma (30--50 Hz) and theta-range oscillations which was localized to the lesion area and its anatomical projections. These results are consistent with a hypothesis of concordant theta and gamma activity relating to negative and positive symptoms, respectively.
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In addition, longitudinal recordings from a subset of the neuropsychiatry group demonstrated spectral and spatial modifications corresponding to symptomatic changes, providing potential electrophysiological and spatial biomarkers for neuropsychiatric symptoms. Analogously, results from subsets of the neuropathic pain group may suggest a predictive role for MEG for physiological phenotyping of pain syndromes and in determining appropriate therapeutic interventions for patients with this class of disorders.
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http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=3127490
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