Resting state brain networks in young people with familial risk for psychosis

Abstract Neuropsychiatric illnesses usually become overtly manifest in adolescence and early adulthood. A critical long-term aim is to be able to prevent the development of such illnesses, which requires instruments to identify subjects at high risk of illness and to offer them effective interventio...

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Bibliographic Details
Main Author: Jukuri, T. (Tuomas)
Other Authors: Veijola, J. (Juha), Kiviniemi, V. (Vesa)
Format: Doctoral or Postdoctoral Thesis
Language:English
Published: Oulun yliopisto 2016
Subjects:
CEN
DMN
PCC
ICA
Online Access:http://urn.fi/urn:isbn:9789526211107
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spelling ftunivoulu:oai:oulu.fi:isbn978-952-62-1110-7 2023-07-30T04:05:50+02:00 Resting state brain networks in young people with familial risk for psychosis Jukuri, T. (Tuomas) Veijola, J. (Juha) Kiviniemi, V. (Vesa) 2016-02-16 application/pdf http://urn.fi/urn:isbn:9789526211107 eng eng Oulun yliopisto info:eu-repo/semantics/altIdentifier/pissn/0355-3221 info:eu-repo/semantics/altIdentifier/eissn/1796-2234 info:eu-repo/semantics/openAccess © University of Oulu, 2016 BOLD-signal CEN DMN PCC R-fMRI anterior lobe of the right cerebellum birth cohort central executive network cerebellum default mode network fMRI familial risk for psychosis functional MRI genetic vulnerability independent component analysis parental psychosis posterior cingulate cortex rIFG resting-state right inferior frontal gyrus schizophrenia BOLD-signaali ICA itsenäisten komponenttien analyysi oletushermoverkko pikkuaivot psykoosialttius skitsofrenia syntymäkohortti toiminnanohjauksesta vastaava hermoverkko info:eu-repo/semantics/doctoralThesis info:eu-repo/semantics/publishedVersion 2016 ftunivoulu 2023-07-08T19:53:32Z Abstract Neuropsychiatric illnesses usually become overtly manifest in adolescence and early adulthood. A critical long-term aim is to be able to prevent the development of such illnesses, which requires instruments to identify subjects at high risk of illness and to offer them effective interventions. There is an indisputable need for more sophisticated methods to enable more precise detection of adolescents and young adults who are at high risk of developing psychosis. Abnormal function in brain networks has been reported in people with schizophrenia and other psychotic disorders. Similar abnormalities have been found also in people at risk for developing psychosis, but it is not known whether this applies also to spontaneous resting state activity in young people with a familial risk for psychosis. We conducted resting-state functional MRI (R-fMRI) in 72 (29 male) young adults with a history of psychosis in one or both parents (FR) but without psychosis themselves, and 72 (29 male) similarly healthy control subjects without familial risk for psychosis. Both groups in the Oulu Brain and Mind study were drawn from the Northern Finland Birth Cohort 1986. All volunteers were 20–25 years old. Parental psychosis was established using the Care Register for Health Care. R-fMRI data was pre-processed using independent component analysis (ICA). A dual regression technique was used to detect between-group differences with p < 0.05 threshold corrected for multiple comparisons at voxel level. FR subjects demonstrated significantly decreased activity compared to control subjects in the default mode network and in the central executive network and increased activity in the cerebellum. The findings clarify previously controversial literature on the subject. The finding suggests that abnormal activity in these brain networks in rest may be associated with increased vulnerability to psychosis. The findings maybe helpful in developing more precise methods for detecting young people at highest risk for developing psychosis. ... Doctoral or Postdoctoral Thesis Northern Finland Jultika - University of Oulu repository
institution Open Polar
collection Jultika - University of Oulu repository
op_collection_id ftunivoulu
language English
topic BOLD-signal
CEN
DMN
PCC
R-fMRI
anterior lobe of the right cerebellum
birth cohort
central executive network
cerebellum
default mode network
fMRI
familial risk for psychosis
functional MRI
genetic vulnerability
independent component analysis
parental psychosis
posterior cingulate cortex
rIFG
resting-state
right inferior frontal gyrus
schizophrenia
BOLD-signaali
ICA
itsenäisten komponenttien analyysi
oletushermoverkko
pikkuaivot
psykoosialttius
skitsofrenia
syntymäkohortti
toiminnanohjauksesta vastaava hermoverkko
spellingShingle BOLD-signal
CEN
DMN
PCC
R-fMRI
anterior lobe of the right cerebellum
birth cohort
central executive network
cerebellum
default mode network
fMRI
familial risk for psychosis
functional MRI
genetic vulnerability
independent component analysis
parental psychosis
posterior cingulate cortex
rIFG
resting-state
right inferior frontal gyrus
schizophrenia
BOLD-signaali
ICA
itsenäisten komponenttien analyysi
oletushermoverkko
pikkuaivot
psykoosialttius
skitsofrenia
syntymäkohortti
toiminnanohjauksesta vastaava hermoverkko
Jukuri, T. (Tuomas)
Resting state brain networks in young people with familial risk for psychosis
topic_facet BOLD-signal
CEN
DMN
PCC
R-fMRI
anterior lobe of the right cerebellum
birth cohort
central executive network
cerebellum
default mode network
fMRI
familial risk for psychosis
functional MRI
genetic vulnerability
independent component analysis
parental psychosis
posterior cingulate cortex
rIFG
resting-state
right inferior frontal gyrus
schizophrenia
BOLD-signaali
ICA
itsenäisten komponenttien analyysi
oletushermoverkko
pikkuaivot
psykoosialttius
skitsofrenia
syntymäkohortti
toiminnanohjauksesta vastaava hermoverkko
description Abstract Neuropsychiatric illnesses usually become overtly manifest in adolescence and early adulthood. A critical long-term aim is to be able to prevent the development of such illnesses, which requires instruments to identify subjects at high risk of illness and to offer them effective interventions. There is an indisputable need for more sophisticated methods to enable more precise detection of adolescents and young adults who are at high risk of developing psychosis. Abnormal function in brain networks has been reported in people with schizophrenia and other psychotic disorders. Similar abnormalities have been found also in people at risk for developing psychosis, but it is not known whether this applies also to spontaneous resting state activity in young people with a familial risk for psychosis. We conducted resting-state functional MRI (R-fMRI) in 72 (29 male) young adults with a history of psychosis in one or both parents (FR) but without psychosis themselves, and 72 (29 male) similarly healthy control subjects without familial risk for psychosis. Both groups in the Oulu Brain and Mind study were drawn from the Northern Finland Birth Cohort 1986. All volunteers were 20–25 years old. Parental psychosis was established using the Care Register for Health Care. R-fMRI data was pre-processed using independent component analysis (ICA). A dual regression technique was used to detect between-group differences with p < 0.05 threshold corrected for multiple comparisons at voxel level. FR subjects demonstrated significantly decreased activity compared to control subjects in the default mode network and in the central executive network and increased activity in the cerebellum. The findings clarify previously controversial literature on the subject. The finding suggests that abnormal activity in these brain networks in rest may be associated with increased vulnerability to psychosis. The findings maybe helpful in developing more precise methods for detecting young people at highest risk for developing psychosis. ...
author2 Veijola, J. (Juha)
Kiviniemi, V. (Vesa)
format Doctoral or Postdoctoral Thesis
author Jukuri, T. (Tuomas)
author_facet Jukuri, T. (Tuomas)
author_sort Jukuri, T. (Tuomas)
title Resting state brain networks in young people with familial risk for psychosis
title_short Resting state brain networks in young people with familial risk for psychosis
title_full Resting state brain networks in young people with familial risk for psychosis
title_fullStr Resting state brain networks in young people with familial risk for psychosis
title_full_unstemmed Resting state brain networks in young people with familial risk for psychosis
title_sort resting state brain networks in young people with familial risk for psychosis
publisher Oulun yliopisto
publishDate 2016
url http://urn.fi/urn:isbn:9789526211107
genre Northern Finland
genre_facet Northern Finland
op_relation info:eu-repo/semantics/altIdentifier/pissn/0355-3221
info:eu-repo/semantics/altIdentifier/eissn/1796-2234
op_rights info:eu-repo/semantics/openAccess
© University of Oulu, 2016
_version_ 1772818117360091136