Altered white matter microstructure is associated with social cognition and psychotic symptoms in 22q11.2 microdeletion syndrome.

22q11.2 Microdeletion Syndrome (22q11DS) is a highly penetrant genetic mutation associated with a significantly increased risk for psychosis. Aberrant neurodevelopment may lead to inappropriate neural circuit formation and cerebral dysconnectivity in 22q11DS, which may contribute to symptom development. Here we examined: (1) differences between 22q11DS participants and typically developing controls in diffusion tensor imaging (DTI) measures within white matter tracts; (2) whether there is an altered age-related trajectory of white matter pathways in 22q11DS; and (3) relationships between DTI measures, social cognition task performance, and positive symptoms of psychosis in 22q11DS and typically developing controls. Sixty-four direction diffusion weighted imaging data were acquired on 65 participants (36 22q11DS, 29 controls). We examined differences between 22q11DS vs. controls in measures of fractional anisotropy (FA), axial diffusivity (AD), and radial diffusivity (RD), using both a voxel-based and region of interest approach. Social cognition domains assessed were: Theory of Mind and emotion recognition. Positive symptoms were assessed using the Structured Interview for Prodromal Syndromes. Compared to typically developing controls, 22q11DS participants showed significantly lower AD and RD in multiple white matter tracts, with effects of greatest magnitude for AD in the superior longitudinal fasciculus. Additionally, 22q11DS participants failed to show typical age-associated changes in FA and RD in the left inferior longitudinal fasciculus. Higher AD in the left inferior fronto-occipital fasciculus (IFO) and left uncinate fasciculus was associated with better social cognition in 22q11DS and controls. In contrast, greater severity of positive symptoms was associated with lower AD in bilateral regions of the IFO in 22q11DS. White matter microstructure in tracts relevant to social cognition is disrupted in 22q11DS, and may contribute to psychosis risk

Effects of the neurogranin variant rs12807809 on thalamocortical morphology in schizophrenia

10.1371/journal.pone.0085603PLoS ONE812-POLN

A systematic review of DTI studies in Bipolar Disorder

Includes bibliographical references.In the last decade, multiple diffusion tensor imaging (DTI) studies have revealed changes in the microstructure of white matter in bipolar disorder. The results are poorly replicated and inconsistent, however, with some authors suggesting a predominance of alterations in fronto-limbic white matter. Preliminary reading of the literature suggests that white matter changes as revealed by DTI may be more widespread throughout the brain. Two extant reviews have each been limited by including all affective disorders or by a methodology which ignores tracts and discards potentially meaningful data. This background in the review includes a detailed exposition of the main DTI techniques and shortcomings. The review aims to determine whether certain white matter tracts are affected preferentially in the brain, as opposed to more diffuse white matter involvement. It also aims to determine if there is an anterior-posterior gradient of abnormalities. This review systematically collates data relating to tract involvement as demonstrated by DTI, as well as data regarding anterior-posterior distribution of abnormalities. Medline and EMBASE databases are searched systematically to select original papers comparing a bipolar group with healthy controls, using DTI, in adults, and reporting at least fractional anisotropy (FA). Subject, scan and analysis characteristics are extracted. Details of affected tracts are collated, as is the y-axis (anterior/posterior) of the most affected ('peak') voxels

Partial‐volume modeling reveals reduced gray matter in specific thalamic nuclei early in the time course of psychosis and chronic schizophrenia

The structural complexity of the thalamus, due to its mixed composition of gray and white matter, make it challenging to disjoint and quantify each tissue contribution to the thalamic anatomy. This work promotes the use of partial-volume-based over probabilistic-based tissue segmentation approaches to better capture thalamic gray matter differences between patients at different stages of psychosis (early and chronic) and healthy controls. The study was performed on a cohort of 23 patients with schizophrenia, 41 with early psychosis and 69 age and sex-matched healthy subjects. Six tissue segmentation approaches were employed to obtain the gray matter concentration/probability images. The statistical tests were applied at three different anatomical scales: whole thalamus, thalamic subregions and voxel-wise. The results suggest that the partial volume model estimation of gray matter is more sensitive to detect atrophies within the thalamus of patients with psychosis. However all the methods detected gray matter deficit in the pulvinar, particularly in early stages of psychosis. This study demonstrates also that the gray matter decrease varies nonlinearly with age and between nuclei. While a gray matter loss was found in the pulvinar of patients in both stages of psychosis, reduced gray matter in the mediodorsal was only observed in early psychosis subjects. Finally, our analyses point to alterations in a sub-region comprising the lateral posterior and ventral posterior nuclei. The obtained results reinforce the hypothesis that thalamic gray matter assessment is more reliable when the tissues segmentation method takes into account the partial volume effect

Glutamatergic Metabolites and Gray Matter Losses in Schizophrenia: A Longitudinal Study Using In Vivo Proton Magnetic Resonance Spectroscopy

Approximately one in hundred people suffer from schizophrenia. Current medications partially improve the symptoms. There is no cure. Glutamate, an excitatory neurotransmitter, is a possible cause of the schizophrenia symptoms. Excessive glutamate release eventually leads to neurodegeneration. Longitudinal studies are necessary to observe the neurodegenerative process. Seventeen schizophrenia patients and 17 healthy volunteers underwent proton magnetic resonance spectroscopy (MRS) and imaging to measure neurochemical and structural changes in vivo. Metabolite levels were measured from a 1.5cm3 voxel in the anterior cingulate and thalamus using the stimulated echo acquisition mode sequence. Gray matter (GM) was assessed with voxel-based morphometry and ANALYZE. Total glutamatergic metabolite (tGL), N-acetylaspartate (NAA), and GM were significantly decreased in schizophrenia over 80 months. Reduced tGL and NAA levels were significantly correlated with GM changes. tGL loss was negatively correlated with social functioning. Significantly decreased tGL levels were possibly associated with GM loss in the spectroscopy voxel. Metabolite signal-to-noise ratio, but not quantification, was decreased as a function of MR system age. These findings demonstrate the feasibility of long-term MRS studies and implications for the pathophysiology of schizophrenia. tGL and GM losses were consistent with neurodegeneration but the effects of an early neurodevelopmental lesion or the effects of chronic medication cannot be ruled out. Structural and metabolite changes in these patients implicate glutamate as a possible target of medication in this disorder. The association between tGL loss and social functioning suggests it might be possible to arrest deterioration with pharmaceuticals that target glutamate

Microstructural thalamic changes in schizophrenia: a combined anatomic and diffusion weighted magnetic resonance imaging study

Journal ArticleObjective: Several magnetic resonance imaging (MRI) and postmortem studies have supported the role of the thalamus in the pathophysiology of schizophrenia. Interestingly, a recent small diffusion weighted imaging (DWI) study showed abnormal thalamic microstructure in patients with schizophrenia. The objective of our study was to use structural MRI and DWI to explore for the first time both thalamic volumes and integrity in schizophrenia. Methods: We measured thalamic volumes and apparent diffusion coefficient (ADC) measures bilaterally in 71 patients with schizophrenia, representative of those living in the geographically defined catchment area of South Verona (i.e., 100 000 inhabitants), and 75 individuals without schizophrenia. The presence of the adhesio interthalamica was also detected. Results: We found no significant differences in thalamus size between patients with schizophrenia and participants in the control group, with only a trend for decreased left volumes. No abnormal frequency of the adhesio interthalamica was found. In contrast, significantly increased thalamic ADC values were shown in schizophrenia patients. Age significantly inversely correlated with thalamic volumes in both groups and correlated positively with posterior ADCs in patients with schizophrenia. No significant associations between clinical variables and either volumes or ADC values were reported. Conclusion: Widespread altered microstructure integrity and partially preserved thalamus size were found in schizophrenia patients. Therefore, subtle thalamic structural abnormalities are present in schizophrenia, even with maintained volumes. This may result from disruption at the cytoarchitecture level, ultimately supporting corticothalamic misconnection. Future imaging studies should further explore thalamic tissue coherence and its role for cognitive disturbances in patients at high risk for schizophrenia and in first-degree relatives

Neuroanatomy of the bipolar brain: from brain structure to treatment

In this thesis, I summarized results from researches done during my PhD course, organizing them in a brief introduction and five chapters. Specifically, the first chapter of this work is dedicated to the progress made during the past years in neuroimaging technologies and techniques, with a focus on structural Magnetic Resonance Imaging techniques and their employment into the neuropsychiatric research. The following three chapters are dedicated to the three studies, all developed though a specific research topic and directed to the understanding of the neural basis of Bipolar Disorder and its clinical implications

A meta-analysis of deep brain structural shape and asymmetry abnormalities in 2,833 individuals with schizophrenia compared with 3,929 healthy volunteers via the ENIGMA Consortium

Schizophrenia is associated with widespread alterations in subcortical brain structure.While analytic methods have enabled more detailed morphometric characterization,findings are often equivocal. In this meta-analysis, we employed the harmonizedENIGMA shape analysis protocols to collaboratively investigate subcortical brainstructure shape differences between individuals with schizophrenia and healthy con-trol participants. The study analyzed data from 2,833 individuals with schizophreniaand 3,929 healthy control participants contributed by 21 worldwide research groupsparticipating in the ENIGMA Schizophrenia Working Group. Harmonized shape analy-sis protocols were applied to each site's data independently for bilateral hippocam-pus, amygdala, caudate, accumbens, putamen, pallidum, and thalamus obtained fromT1-weighted structural MRI scans. Mass univariate meta-analyses revealed more-concave-than-convex shape differences in the hippocampus, amygdala, accumbens,and thalamus in individuals with schizophrenia compared with control participants,more-convex-than-concave shape differences in the putamen and pallidum, and bothconcave and convex shape differences in the caudate. Patterns of exaggerated asym-metry were observed across the hippocampus, amygdala, and thalamus in individualswith schizophrenia compared to control participants, while diminished asymmetryencompassed ventral striatum and ventral and dorsal thalamus. Our analyses also rev-ealed that higher chlorpromazine dose equivalents and increased positive symptomlevels were associated with patterns of contiguous convex shape differences acrossmultiple subcortical structures. Findings from our shape meta-analysis suggest thatcommon neurobiological mechanisms may contribute to gray matter reduction acrossmultiple subcortical regions, thus enhancing our understanding of the nature of net-work disorganization in schizophrenia