Data di Pubblicazione:
2006
Citazione:
Imaging phenotypes and genotypes in schizophrenia / J. Turner, P. Smyth, F. Macciardi, J. Fallon, J. Kennedy, S. Potkin. - In: NEUROINFORMATICS. - ISSN 1539-2791. - 4:1(2006), pp. 21-49.
Abstract:
Schizophrenia is associated with subtle structural and functional brain
abnormalities. Both recent and classical data suggest that it is a
heterogeneous disorder that is clearly heritable. The cause and course
of schizophrenia are poorly understood, and classical categories of
clinical symptoms have not been particularly useful in identifying its
pathophysiology or predicting its treatment. The possible genetic risk
factors for schizophrenia are numerous; however, the connection between
the genotype and the time-course, or the multifaceted symptoms of the
disease, has yet to be established. Brain imaging methods that study the
structure or function of the cortical and subcortical regions have also
identified distinct patterns that distinguish schizophrenics from
controls, and that may identify meaningful subtypes of schizophrenia.
The predictive relationship between these imaging phenotypes and disease
characteristics such as treatment response is only beginning to be
revealed. The emergence of the field of imaging genetics, combining
genetic, and neuroimaging data, holds much promise for the deeper
understanding and improved treatment of diseases such as schizophrenia.
In this article we review some of the key findings in imaging
phenotyping and genotyping of schizophrenia, and the initial endeavors
at their combination into more meaningful and predictive patterns, or
endophenotypes identifying the relationships among clinical symptoms,
course, genes, and the underlying pathophysiology.
Tipologia IRIS:
01 - Articolo su periodico
Keywords:
Data mining; Endophenotypes; Genetics; Neuroimaging; Schizophrenia
Elenco autori:
J. Turner, P. Smyth, F. Macciardi, J. Fallon, J. Kennedy, S. Potkin
Link alla scheda completa: