Cerebral ventricular enlargement as a generalized feature of schizophrenia: a distribution analysis on 502 subjects

Vita, Antonio; Dieci, M.; Silenzi, Carlo; Tenconi, F.; Giobbio, Gian Marco; Invernizzi, G

doi:10.1016/s0920-9964(99)00134-6

Cited by 28 publications

(12 citation statements)

References 58 publications

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“…Onsets occur, with a characteristic sex difference, in the reproductive phase of life and are associated with structural changes in the brain as reflected in a degree of ventricular enlargement. 8 Thus we are dealing with variation, associated with variations in brain structure, that is maintained across the species in the face of biological disadvantage. On page 236 Parnas writes that:…”

Section: Phillips Writesmentioning

confidence: 99%

A case with a 120 base pair insertional mutation in the prion protein gene: the first case in Japan

Beck

2005

Journal of Neurology, Neurosurgery & Psychiatry

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Section: Phillips Writesmentioning

confidence: 99%

A case with a 120 base pair insertional mutation in the prion protein gene: the first case in Japan

Beck

2005

Journal of Neurology, Neurosurgery & Psychiatry

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Section: Phillips Writesmentioning

confidence: 99%

The Self in Neuroscience and Psychiatry

2003

110

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“…From a structural point of view, it has been observed that in certain cases the brain of schizophrenic subjects tends to have less gray matter (Suzuki et al, 2002). Nonetheless, often some areas, like the ventricles, are larger (Vita et al, 2000). Another relevant fact is that, apart from structure, some areas of the brain may have less or more activity, due to imbalances in neurotransmitters.…”

Section: Discussionmentioning

confidence: 99%

Data driven analysis of functional brain networks in fMRI for schizophrenia investigation

Mascolo

Guccione

Nico

et al. 2014

Int J Imaging Syst Tech

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The purpose of this article is to present a methodology to identify the sources of activity in brain networks from functional magnetic resonance imaging (fMRI) data using the multiset canonical correlation analysis algorithm. The aim is to lay the foundations for a screening marker to be used as indicator of mental diseases. Group analysis blind source separation methods have proved reliable to extract the latent sources underlying the brain activities but currently there is no recognized biomarker for mental disorders. Recent studies have identified alterations in the so called default mode network (DMN) that are common to several neuropsychiatric disorders, including schizophrenia. In particular, here we account for the hypothesis that the alterations in the DMN activity can be effectively highlighted by analyzing the transient states between two different tasks. A set of fMRI data acquired from 18 subjects performing working memory tasks is investigated for such purpose. Subjects are patients affected by schizophrenia for one half and healthy control subjects for the other. Under these conditions, the proposed methodology provides high discrimination performances in terms of classification error, thereby providing promising results for a preliminary tool able to monitor the disease state or to perform a prescreening for patients at risk for schizophrenia. © 2014 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 24, 239–248, 2014

show abstract

Cerebral ventricular enlargement as a generalized feature of schizophrenia: a distribution analysis on 502 subjects

Cited by 28 publications

References 58 publications

A case with a 120 base pair insertional mutation in the prion protein gene: the first case in Japan

A case with a 120 base pair insertional mutation in the prion protein gene: the first case in Japan

The Self in Neuroscience and Psychiatry

Data driven analysis of functional brain networks in fMRI for schizophrenia investigation

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