Correlations between some structural and functional brain parameters in subjects with high risk of schizophrenia


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Abstract

The study was aimed to the analysis of correlations between anatomic brain parameters and characteristics of neurophysiological and metabolic supportive mechanisms of cognitive functions in the patients with ultra-high risk of schizophrenia. The study comprised 30 young male patients and 30 age- and sexmatched mentally healthy subjects. We used the methods of diffusion-weighted tomography, single voxel proton MR spectroscopy, and oddball ERP recording. The statistically significant intergroup differences in the structural connectivity were confirmed in the anterior thalamic radiation of the left hemisphere. The diffusion abnormalities in this area were correlated with P300 latencies and the level of γ-aminobutyric acid (GABA).

About the authors

I. S. Lebedeva

Mental Health Research Center of Russian Academy of Medical Sciences

Author for correspondence.
Email: lebedeva-i@yandex.ru
Russian Federation, Moscow

A. S. Tomyshev

Mental Health Research Center of Russian Academy of Medical Sciences

Email: lebedeva-i@yandex.ru
Russian Federation, Moscow

T. A. Akhadov

Research Institute of Emergency Pediatric Surgery and Traumatology

Email: lebedeva-i@yandex.ru
Russian Federation, Moscow

M. A. Omeltchenko

Mental Health Research Center of Russian Academy of Medical Sciences

Email: lebedeva-i@yandex.ru
Russian Federation, Moscow

N. A. Semenova

Research Institute of Emergency Pediatric Surgery and Traumatology; Semenov Institute of Chemical Physics of Russian Academy of Sciences

Email: lebedeva-i@yandex.ru
Russian Federation, Moscow; Moscow

P. E. Mentschikov

Research Institute of Emergency Pediatric Surgery and Traumatology

Email: lebedeva-i@yandex.ru
Russian Federation, Moscow

E. D. Bogdanova

Mental Health Research Center of Russian Academy of Medical Sciences

Email: lebedeva-i@yandex.ru
Russian Federation, Moscow

V. G. Kaleda

Mental Health Research Center of Russian Academy of Medical Sciences

Email: lebedeva-i@yandex.ru
Russian Federation, Moscow

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