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Language disturbances, such as impoverishment, disorganization and dysregulation, are a prominent feature of schizophrenia. Several neuroimaging studies have suggested the superior temporal gyrus (STG) as a likely anatomical substrate of language deficits in schizophrenia. The aim of this study was to verify a correlation between structural measures of STG and Heschl's gyrus (HG) and language dimensions.
Methods:
An extensive language examination battery, which included narrative and conversational expressive tasks, and syntactic and pragmatic comprehension tests, was administered to 23 schizophrenia patients (mean age±SD= 40.30±11.60) and 21 normal controls (mean age±SD= 42.19±11.05). All subjects also underwent a 1.5T MRI session, and STG and HG were manually traced and volumes were obtained, bilaterally, using Brains2.
Results:
Specific language deficits were shown in subjects with schizophrenia compared to healthy individuals (p<0.001), particularly in verbal fluency, syntactic complexity, lexical diversity and metaphor/idiom comprehension. Interestingly, speech fluency significantly directly associated with left STG gray matter volumes in controls (r=0.46, p=0.03) but not in patients (r=-0.27, p=0.21). In contrast, complex syntax and word diversity significantly correlated, respectively, with left and right HG volumes in schizophrenia patients (r=0.45, p=0.02; r=-0.47, p=0.02), but not in controls (p>0.05).
Conclusions:
This study confirmed a widespread impairment of language in schizophrenia. Interestingly, distinct language dimensions differently correlated with STG-HG volumes in patients with schizophrenia and controls, particularly with regard to verbal fluency and syntactic measures.
Vascular changes in the brain are relevant in schizophrenia [e.g. 1] and in bipolar disorder [2]. The study of first episode psychosis (FEP) allows the analysis of brain morphology and function without confounds due to chronicity.
Objectives
To characterize brain perfusion in FEP.
Aims
To see if FEP exhibit modified perfusion in respect to healthy controls (HC), and identify the most affected brain areas.
Methods
We acquired T1 and DSC images of 35 FEP patients (45 +/- 10 years old) and 35 HC (42 +/- 8), using Gadolinium (0.1 mmol/Kg). We computed cerebral blood volume (CBV), cerebral blood flow (CBF) and mean transit time (MTT) [3] in the whole brain and in left and right frontal, parietal, temporal and occipital lobes, insula, caudate and cerebellum
Results
Mean values of all quantities resulted lower in patients, up to 12% for CBV in right frontal lobe, 11% for CBF in left cerebellum and 16% for MTT in right frontal lobe. We used a support vector machine (SVM) to classify subjects on the basis of the histogram of perfusion values. We found that the classification reached accuracies over 80%, especially in the frontal brain areas.
Conclusions
FEP show altered perfusion parameters, which allow automatic classification with good accuracy, showing that brain vascular characteristics can be considered as marker of psychosis.
[1] Peruzzo et al (2011). J Neural Transm, 118, 4:563-70.
[2] Agarwal et al (2008). J Affect Disord, 110, 1-2:106-14.
[3] Ostergaard et al (1996). Magn Reson Med, 36, 5:715-25.
The amygdala plays a central role in the fronto-limbic network involved in the processing of emotions. Structural and functional abnormalities of the amygdala have recently been found in schizophrenia, although there are still contradictory results about its reduced or preserved volumes.
Method
In order to address these contradictory findings and to further elucidate the possibly underlying pathophysiological process of the amygdala, we employed structural magnetic resonance imaging (MRI) and diffusion weighted imaging (DWI), exploring amygdalar volume and microstructural changes in 69 patients with schizophrenia and 72 matched healthy subjects, relating these indices to psychopathological measures.
Results
Measuring water diffusivity, the apparent diffusion coefficients (ADCs) for the right amygdala were found to be significantly greater in patients with schizophrenia compared with healthy controls, with a trend for abnormally reduced volumes. Also, significant correlations between mood symptoms and amygdalar volumes were found in schizophrenia.
Conclusions
We therefore provide evidence that schizophrenia is associated with disrupted tissue organization of the right amygdala, despite partially preserved size, which may ultimately lead to abnormal emotional processing in schizophrenia. This result confirms the major role of the amygdala in the pathophysiology of schizophrenia and is discussed with respect to amygdalar structural and functional abnormalities found in patients suffering from this illness.
Several, although not all, of the previous small diffusion-weighted imaging (DWI) studies have shown cortical white-matter disruption in schizophrenia.
Aims
To investigate cortical white-matter microstructure with DWI in a large community-based sample of people with schizophrenia.
Method
Sixty-eight people with schizophrenia and 64 healthy controls underwent a session of DWI to obtain the apparent diffusion coefficient (ADC) of white-matter water molecules. Regions of interest were placed in cortical lobes.
Results
Compared with controls, the schizophrenia group had significantly greater ADCs in frontal, temporal and occipital white matter (analysis of covariance, P < 0.05).
Conclusions
Our findings confirm the presence of cortical white-matter microstructure disruption in frontal and temporo-occipital lobes in the largest sample of people with schizophrenia thus for studied with this technique. Future brain imaging studies, together with genetic investigations, should further explore white-matter integrity and genes encoding myelin-related protein expression in people with first-episode schizophrenia and those at high risk of developing the disorder.
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