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Rigshospitalet - en del af Københavns Universitetshospital

Spontan hjerneaktivitet som endofænotype for skizofreni/SPONTANEOUS BRAIN ACTIVITY AS AN ENDOPHENOTYPE FOR SCHIZOPHRENIA

Projekt: Typer af projekterProjekt

  1. Alterations of Intrinsic Connectivity Networks in Antipsychotic-Naïve First-Episode Schizophrenia

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  1. Det Danske ECT/MRI projekt

    Projekt: Typer af projekterProjekt

  • Anhøj, Simon Jesper (Projektdeltager)
  • Birte Yding Glenthøj (Projektleder, organisatorisk)
  • Rostrup, Egill (Projektleder, faglig)
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Project description:
The aim of this project is to investigate the possibility to use the spontaneous brain activity measured by fMRI as an endophenotype for schizophrenia. This is interesting firstly because there is a great need to find objective biological markers which are able to make the relation between phenotype and genotype in schizophrenia more precise, and secondly because the existing knowledge on the spontaneous brain activity in schizophrenic patients suggest that this activity can be used to this end. By combining the PECANS cohort and VIP cohort this project is able to generate the knowledge necessary to determine whether the spontaneous brain activity can be used as an endophenotype for schizophrenia.

Within resent years the focus on the functional specialisation of the brain has been supplemented by an increasing interest in the functional integration of the different parts of the brain. The functional integration, or the relation between the specialised areas of the brain, is described by the concepts of functional connectivity or functional networks which refer to the co-activation of different brain areas. One of the most direct ways to detect functional connectivity is to measure the spontaneous brain activity where subjects are scanned awake with there eyes closed also referred to as 'resting state'. It has been shown that not only it is possible to detect functional networks during specific tasks but also during resting state which is then referred to as resting state networks or intrinsic connectivity networks. This means that the activity not related to a specific tasks is not a random signal but is organised in networks or systems of brain areas with common functions. Some specific networks are already described during resting state some of which are related to sensory and motor functions where others are related to higher cognitive functions. As a part of this growing field focus also has been upon the possibility to use these changes in the functional connectivity as a biological marker for disease. In relation to schizophrenia this focus has led to highly varying results which possibly can be explained by the variation in in- and exclusion criteria, experimental design, methods of analysis and of course the complexity of the disease.

To investigate the possibility to use the spontaneous brain activity as an endophenotype for schizophrenia we will test the following hypotheses based on the PECANS cohort 1) it is possible to detect significant differences in the spontaneous brain activity between patients and healthy controls. 2) these differences in spontaneous brain activity can be affected significant by D2/D3-receptor blockade, and based on the VIP cohort we will test the hypothesis that 3) it is possible to detect a significant genetic conditioned difference in the spontaneous brain activity between patients and healthy controls. The project will contribute with unique new knowledge on the relation between the spontaneous activity of the brain and schizophrenia firstly due to the unique nature of both the PECANS and VIP cohorts and secondly because the heritability of the spontaneous brain activity never has been explored in schizophrenic patients before.
FinansieringskildeIntern støtte (Offentlig)
ForskningsprogramRegion Hovedstaden Psykiatri
Beløb1.590.000,00 Danske Kroner


  • Sundhedsvidenskab - Schizophrenia Spectrum and Other Psychotic Disorders, Pharmacology, Randomized Controlled Clinical Trial

ID: 36377220