This editorial discusses the application of a novel brain imaging analysis technique in the assessment of neuroanatomical dysconnectivity in psychotic illnesses. There has long been a clinical interest in psychosis as a disconnection syndrome. In recent years graph theory metrics have been applied to functional and structural imaging datasets to derive measures of brain connectivity, which represent the efficiency of brain networks. These metrics can be derived from structural neuroimaging datasets acquired using diffusion imaging whereby cortical structures are parcellated into nodes and white matter tracts represent edges connecting these nodes. Furthermore neuroanatomical measures of connectivity may be decoupled from measures of physiological connectivity as assessed using functional imaging, underpinning the need for multi-modal imaging approaches to probe brain networks. Studies to date have reported a number of structural brain connectivity abnormalities associated with schizophrenia that carry potential as illness biomarkers. Structural connectivity abnormalities have also been reported in well patients with bipolar disorder and in unaffected relatives of patients with schizophrenia. Such connectivity metrics may represent clinically relevant biomarkers in studies employing a longitudinal design of illness course in psychosis.
Applying neuroimaging to detect neuroanatomical dysconnectivity in psychosis / S. O'Donoghue, D.M. Cannon, C. Perlini, P. Brambilla, C. McDonald. - In: EPIDEMIOLOGY AND PSYCHIATRIC SCIENCES. - ISSN 2045-7960. - 24:4(2015 Aug), pp. 298-302.
|Titolo:||Applying neuroimaging to detect neuroanatomical dysconnectivity in psychosis|
BRAMBILLA, PAOLO (Penultimo)
|Parole Chiave:||Brain imaging techniques; psychosis; schizophrenia; structural magnetic resonance imaging|
|Settore Scientifico Disciplinare:||Settore MED/25 - Psichiatria|
|Data di pubblicazione:||ago-2015|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1017/S2045796015000074|
|Appare nelle tipologie:||01 - Articolo su periodico|
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