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Personality, psychosis, and connectivity : = Neuroimaging endophenotypes in the psychotic spectrum.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Personality, psychosis, and connectivity :/
其他題名:	Neuroimaging endophenotypes in the psychotic spectrum.
作者:	Grazioplene, Rachael G.
面頁冊數:	1 online resource (109 pages)
附註:	Source: Dissertation Abstracts International, Volume: 78-01(E), Section: B.
標題:	Personality psychology. -
電子資源:	click for full text (PQDT)
ISBN:	9781339973180

Personality, psychosis, and connectivity : = Neuroimaging endophenotypes in the psychotic spectrum.
Grazioplene, Rachael G.

Personality, psychosis, and connectivity :Neuroimaging endophenotypes in the psychotic spectrum. - 1 online resource (109 pages)

Source: Dissertation Abstracts International, Volume: 78-01(E), Section: B.

Thesis (Ph.D.)--University of Minnesota, 2016.

Includes bibliographical references

The link between diagnoses of psychotic disorders and altered structural and functional brain connectivity is well established, yet little is known about the degree to which similar neural features predict traits linked to psychosis-proneness in the general population. Moreover, intelligence is too rarely considered as a covariate in neural endophenotype studies, despite its known protective role against psychopathology in general and its associations with broad aspects of neural structure and function. To determine whether psychosis-linked personality traits are linearly associated with putative psychosis endophenotypes, this dissertation examines white matter and functional connectivity correlates of Psychoticism, Absorption, and Openness to Experience in a large community sample, covarying for sex, age, and IQ. Findings support the hypothesis that the white matter correlates of the shared variance of these traits overlap substantially with the frontal lobe white matter connectivity patterns characteristic of psychotic spectrum disorders. Positive schizotypy did predict connectivity in hypothesized functional networks, but also appears positively associated with average coherence across all intrinsic networks. These findings provide biological support for the notion that liability to psychosis is distributed throughout the population, is evident in measureable neural features, and manifests as normal personality variation at subclinical levels.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781339973180Subjects--Topical Terms:

1180475
Personality psychology.
Index Terms--Genre/Form:

554714
Electronic books.

Personality, psychosis, and connectivity : = Neuroimaging endophenotypes in the psychotic spectrum.
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500 $a Source: Dissertation Abstracts International, Volume: 78-01(E), Section: B.
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502 $a Thesis (Ph.D.)--University of Minnesota, 2016.
504 $a Includes bibliographical references
520 $a The link between diagnoses of psychotic disorders and altered structural and functional brain connectivity is well established, yet little is known about the degree to which similar neural features predict traits linked to psychosis-proneness in the general population. Moreover, intelligence is too rarely considered as a covariate in neural endophenotype studies, despite its known protective role against psychopathology in general and its associations with broad aspects of neural structure and function. To determine whether psychosis-linked personality traits are linearly associated with putative psychosis endophenotypes, this dissertation examines white matter and functional connectivity correlates of Psychoticism, Absorption, and Openness to Experience in a large community sample, covarying for sex, age, and IQ. Findings support the hypothesis that the white matter correlates of the shared variance of these traits overlap substantially with the frontal lobe white matter connectivity patterns characteristic of psychotic spectrum disorders. Positive schizotypy did predict connectivity in hypothesized functional networks, but also appears positively associated with average coherence across all intrinsic networks. These findings provide biological support for the notion that liability to psychosis is distributed throughout the population, is evident in measureable neural features, and manifests as normal personality variation at subclinical levels.
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538 $a Mode of access: World Wide Web
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