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Tommaso Scarabino

Publications and source records attributed to Tommaso Scarabino.

17 recordsLinked to original sources

Additive effects of genetic variation in dopamine regulating genes on working memory cortical activity in human brain.

Functional polymorphisms in the catechol-O-methyltransferase (COMT) and the dopamine transporter (DAT) genes modulate dopamine inactivation, which is crucial for determining neuronal signal-to-noise ratios in prefrontal cortex during working memory. We show that the COMT Met158 allele and the DAT 3' variable number of tandem repeat 10-repeat allele are independently associated in healthy humans with more focused neuronal activity (as measured with blood oxygen level-dependent functional magnetic resonance imaging) in the working memory cortical network, including the prefrontal cortex. Moreover, subjects homozygous for the COMT Met allele and the DAT 10-repeat allele have the most focused response, whereas the COMT Val and the DAT 9-repeat alleles have the least. These results demonstrate additive genetic effects of genes regulating dopamine signaling on specific neuronal networks subserving working memory.

Adult↗

How does spatial extent of fMRI datasets affect independent component analysis decomposition?

Spatial independent component analysis (sICA) of functional magnetic resonance imaging (fMRI) time series can generate meaningful activation maps and associated descriptive signals, which are useful to evaluate datasets of the entire brain or selected portions of it. Besides computational implications, variations in the input dataset combined with the multivariate nature of ICA may lead to different spatial or temporal readouts of brain activation phenomena. By reducing and increasing a volume of interest (VOI), we applied sICA to different datasets from real activation experiments with multislice acquisition and single or multiple sensory-motor task-induced blood oxygenation level-dependent (BOLD) signal sources with different spatial and temporal structure. Using receiver operating characteristics (ROC) methodology for accuracy evaluation and multiple regression analysis as benchmark, we compared sICA decompositions of reduced and increased VOI fMRI time-series containing auditory, motor and hemifield visual activation occurring separately or simultaneously in time. Both approaches yielded valid results; however, the results of the increased VOI approach were spatially more accurate compared to the results of the decreased VOI approach. This is consistent with the capability of sICA to take advantage of extended samples of statistical observations and suggests that sICA is more powerful with extended rather than reduced VOI datasets to delineate brain activity.

Acoustic Stimulation↗

Gadolinium dose optimisation in patients with multiple sclerosis: intra- and inter-individual comparisons.

OBJECTIVE: To assess the efficacy of single, double and triple doses of 1M gadolinium in the magnetic resonance (MR) evaluation of multiple sclerosis (MS) lesions in order to establish the best trade-off in terms of dose and number of injections. MATERIALS AND METHODS: Twenty-three patients with relapsing remitting or secondary progressive MS underwent MR scans of the brain, spine or both. Signal intensity, the number of enhancing lesions and the areas of MS plaque were measured in T1-weighted images before and after single, double or triple doses of contrast medium. Wilcoxon's two-sample test and the Mann-Whitney U-test were used to evaluate the differences between the groups, and between doses in the same patient. RESULTS: There was no significant difference in area signal intensity or the number of enhancing lesions between the group examined after a single injection of double-dose (DD) contrast medium and the group examined after multiple injections of a triple dose (TD). The difference in the areas of enhancement and signal intensity between a single dose (SD) and TD significantly increased after the second bolus. CONCLUSION: Gadolinium injections in MS patients can be optimised by giving a single DD bolus, which leads to the same results as a TD administered as two boli.

Adult↗

Variation of human amygdala response during threatening stimuli as a function of 5'HTTLPR genotype and personality style.

BACKGROUND: In the brain, processing of fearful stimuli engages the amygdala, and the variability of its activity is associated with genetic factors as well as with emotional salience. The objective of this study was to explore the relevance of personality style for variability of amygdala response. METHODS: We studied two groups (n=14 in each group) of healthy subjects categorized by contrasting cognitive styles with which they attribute salience to fearful stimuli: so-called phobic prone subjects who exaggerate potential environmental threat versus so-called eating disorders prone subjects who tend to be much less centered around fear. The two groups underwent functional magnetic resonance imaging (fMRI) at 3T during performance of a perceptual task of threatening stimuli and they were also matched for the genotype of the 5' variable number tandem repeat (VNTR) polymorphism in the serotonin transporter. RESULTS: The fMRI results indicated that phobic prone subjects selectively recruit the amygdala to a larger extent than eating disorders prone subjects. Activity in the amygdala was also independently predicted by personality style and genotype of the serotonin transporter. Moreover, brain activity during a working memory task did not differentiate the two groups. CONCLUSIONS: The results of the present study suggest that aspects of personality style are rooted in biological responses of the fear circuitry associated with processing of environmental information.

Adult↗

Independent component analysis of fMRI group studies by self-organizing clustering.

Independent component analysis (ICA) is a valuable technique for the multivariate data-driven analysis of functional magnetic resonance imaging (fMRI) data sets. Applications of ICA have been developed mainly for single subject studies, although different solutions for group studies have been proposed. These approaches combine data sets from multiple subjects into a single aggregate data set before ICA estimation and, thus, require some additional assumptions about the separability across subjects of group independent components. Here, we exploit the application of similarity measures and a related visual tool to study the natural self-organizing clustering of many independent components from multiple individual data sets in the subject space. Our proposed framework flexibly enables multiple criteria for the generation of group independent components and their random-effects evaluation. We present real visual activation fMRI data from two experiments, with different spatiotemporal structures, and demonstrate the validity of this framework for a blind extraction and selection of meaningful activity and functional connectivity group patterns. Our approach is either alternative or complementary to the group ICA of aggregated data sets in that it exploits commonalities across multiple subject-specific patterns, while addressing as much as possible of the intersubject variability of the measured responses. This property is particularly of interest for a blind group and subgroup pattern extraction and selection.

Adult↗

Functional lateralization of the sensorimotor cortex in patients with schizophrenia: effects of treatment with olanzapine.

BACKGROUND: Earlier cross-sectional studies with functional magnetic resonance imaging (fMRI) in treated patients with schizophrenia have reported abnormalities of cortical motor processing, including reduced lateralization of primary sensory motor cortex. The objective of the present longitudinal study was to evaluate whether such cortical abnormalities represent state or trait phenomena of the disorder. METHODS: Seventeen acutely ill, previously untreated patients were studied after 4 weeks and after 8 weeks of olanzapine therapy. Seventeen matched healthy subjects served as control subjects. All subjects underwent two fMRI scans 4 weeks apart during a visually paced motor task using a simple periodic block design. Functional magnetic resonance imaging data were analyzed in Statistical Parametric Mapping (SPM99). Region of interest analyses were used to determine a laterality quotient (an index of lateralization) of motor cortical regions. RESULTS: The fMRI data indicated that patients had reduced activation of the primary sensory motor cortex at 4 weeks but not at 8 weeks; however, the laterality quotient in the primary sensory motor cortex was reduced in patients at both time points. CONCLUSIONS: These results suggest that some cortical abnormalities during motor processing represent state phenomena, whereas reduced functional lateralization of the primary sensory motor cortex represents an enduring trait of schizophrenia.

Adolescent↗

Hippocampal neurochemical pathology in patients at first episode of affective psychosis: a proton magnetic resonance spectroscopic imaging study.

While several studies have suggested a relationship between the hippocampus and psychosis in schizophrenia, fewer studies have specifically investigated the presence of psychosis in mood disorders from a neurobiological perspective. Moreover, a limitation of these earlier studies is that the majority of them were performed in chronic patients. The present proton magnetic resonance spectroscopic imaging (1H-MRSI) study assessed neuronal integrity (as assessed with N-acetylaspartate, NAA) in the hippocampus of patients with a first episode of mood disorders with psychotic symptoms. We studied 17 patients and 17 healthy subjects matched for age and sex. Subjects underwent 1H-MRSI, and measures of NAA, choline-containing compounds (CHO), and creatine+phosphocreatine (CRE) in 11 brain regions were obtained, i.e. hippocampus (HIPPO), dorsolateral prefrontal cortex, superior temporal gyrus, inferior frontal gyrus, occipital cortex, anterior and posterior cingulate, centrum semiovale, prefrontal white matter, thalamus and putamen. NAA/CRE ratios in HIPPO of patients were significantly lower than in controls. Sporadic and non-hypothesis-driven results were found in occipital cortex and prefrontal white matter as a main effect of diagnosis, and in superior temporal gyrus as a hemisphere by diagnosis interaction. These results would not survive a Bonferroni correction for the number of ROIs. No correlations were found with the available demographic and clinical data. Therefore, hippocampal neuronal abnormalities are present at the onset of mood disorders with psychotic symptoms. These data suggest that neuronal abnormalities in HIPPO may be associated with psychosis in mood disorders. Since these data were obtained in patients at first episode, they cannot be explained by chronicity of illness or pharmacological treatment.

Adolescent↗

Correlation between cerebral MRI abnormalities and mental retardation in patients with mucopolysaccharidoses.

Mucopolysaccharidoses (MPSs) are a group of inherited disorders due to lysosomal enzyme deficiencies which lead to multi-organ accumulation of glycosaminoglycans. Some forms of MPS disorders are characterized by various degrees of mental retardation. Magnetic Resonance Imaging (MRI) is the primary imaging technique to detect CNS alterations. The aim of this study is to evaluate the correlation between white matter (WM) alterations and the presence of mental retardation. We analyzed 20 patients with different forms of MPSs, 11 with mental retardation and 9 with a normal cognitive function; all of them underwent brain MRI and received a score on the basis of the alterations (WM alterations; perivascular, subarachnoid, and ventricular space enlargement; abnormalities of the basal ganglia, of the corpus callosum and of the atlanto-axial joint). All patients with mental retardation presented severe WM alterations, while only five out of the nine subjects without mental retardation showed certainly WM abnormalities. As far as the other cerebral abnormalities are concerned, no difference between the two groups has been found. These data seem to show that there is a significant correlation between the presence of WM alterations and mental retardation.

Adolescent↗

Interaction of COMT (Val(108/158)Met) genotype and olanzapine treatment on prefrontal cortical function in patients with schizophrenia.

OBJECTIVE: Deficits in working memory and in prefrontal cortical physiology are important outcome measures in schizophrenia, and both have been associated with dopamine dysregulation and with a functional polymorphism (Val(108/158)Met) in the catechol O-methyltransferase (COMT) gene that affects dopamine inactivation in the prefrontal cortex. The purpose of the present study was to evaluate in patients with schizophrenia the effect of COMT genotype on symptom variation, working memory performance, and prefrontal cortical physiology in response to treatment with an atypical antipsychotic drug. METHOD: Thirty patients with acute untreated schizophrenia were clinically evaluated with the Positive and Negative Syndrome Scale, underwent COMT Val/Met genotyping, and entered an 8-week prospective study of olanzapine treatment. Twenty patients completed two 3-T functional magnetic resonance imaging scans at 4 and 8 weeks during performance of N-back working memory tasks. RESULTS: There was a significant interaction of COMT genotype and the effects of olanzapine on prefrontal cortical function. Met allele load predicted improvement in working memory performance and prefrontal physiology after 8 weeks of treatment. A similar effect was found also for negative symptoms assessed with the Positive and Negative Syndrome Scale. CONCLUSIONS: These results suggest that a genetically determined variation in prefrontal dopamine catabolism impacts the therapeutic profile of olanzapine.

Adult↗

3.0 T magnetic resonance in neuroradiology.

Ever since the introduction of magnetic resonance (MR), imaging with 1.5 T has been considered the gold standard for the study of all body areas. Until not long ago, higher-field MR equipment was exclusively employed for research, not for clinical use. More recently, the introduction of 3.0 T MR machines for new and more sophisticated clinical applications has yielded in important benefits, especially in neuroradiology. Indeed, their high gradient power and field intensity allow adjunctive and more advanced diagnostic methodologies to be applied with excellent resolution in a fraction of the time of acquisition compared with earlier machines. The numerous advantages of these machines in terms of higher signal, increased spatial resolution and greater sensitivity, and their few limitations, which can be overcome and anyway do not adversely affect diagnostic efficacy, will make 3.0 T MR systems the gold standard for morphological and functional studies of the brain.

Brain↗

High field MRI.

Explore the source record for details and available documents.

Magnetic Resonance Imaging↗

fMRI of the auditory system: understanding the neural basis of auditory gestalt.

Functional magnetic resonance imaging (fMRI) has rapidly become the most widely used imaging method for studying brain functions in humans. This is a result of its extreme flexibility of use and of the astonishingly detailed spatial and temporal information it provides. Nevertheless, until very recently, the study of the auditory system has progressed at a considerably slower pace compared to other functional systems. Several factors have limited fMRI research in the auditory field, including some intrinsic features of auditory functional anatomy and some peculiar interactions between fMRI technique and audition. A well known difficulty arises from the high intensity acoustic noise produced by gradient switching in echo-planar imaging (EPI), as well as in other fMRI sequences more similar to conventional MR sequences. The acoustic noise interacts in an unpredictable way with the experimental stimuli both from a perceptual point of view and in the evoked hemodynamics. To overcome this problem, different approaches have been proposed recently that generally require careful tailoring of the experimental design and the fMRI methodology to the specific requirements posed by the auditory research. The novel methodological approaches can make the fMRI exploration of auditory processing much easier and more reliable, and thus may permit filling the gap with other fields of neuroscience research. As a result, some fundamental neural underpinnings of audition are being clarified, and the way sound stimuli are integrated in the auditory gestalt are beginning to be understood.

Auditory Cortex↗

Real-time independent component analysis of fMRI time-series.

Real-time functional magnetic resonance imaging (fMRI) enables one to monitor a subject's brain activity during an ongoing session. The availability of online information about brain activity is essential for developing and refining interactive fMRI paradigms in research and clinical trials and for neurofeedback applications. Data analysis for real-time fMRI has traditionally been based on hypothesis-driven processing methods. Off-line data analysis, conversely, may be usefully complemented by data-driven approaches, such as independent component analysis (ICA), which can identify brain activity without a priori temporal assumptions on brain activity. However, ICA is commonly considered a time-consuming procedure and thus unsuitable to process the high flux of fMRI data while they are acquired. Here, by specific choices regarding the implementation, we exported the ICA framework and implemented it into real-time fMRI data analysis. We show that, reducing the ICA input to a few points within a time-series in a sliding-window approach, computational times become compatible with real-time settings. Our technique produced accurate dynamic readouts of brain activity as well as a precise spatiotemporal history of quasistationary patterns in the form of cumulative activation maps and time courses. Results from real and simulated motor activation data show comparable performances for the proposed ICA implementation and standard linear regression analysis applied either in a sliding-window or in a cumulative mode. Furthermore, we demonstrate the possibility of monitoring transient or unexpected neural activities and suggest that real-time ICA may provide the fMRI researcher with a better understanding and control of subjects' behaviors and performances.

Algorithms↗

Working memory deficits and levels of N-acetylaspartate in patients with schizophreniform disorder.

OBJECTIVE: The authors used proton magnetic resonance spectroscopic imaging ((1)H-MRSI) to assess potential reductions of N-acetylaspartate (a marker of neuronal integrity) in the hippocampal area and dorsolateral prefrontal cortex of patients with schizophreniform disorder. In addition, they assessed the relationship between N-acetylaspartate levels and working memory deficits. METHOD: Twenty-four patients with DSM-IV schizophreniform disorder and 24 healthy subjects were studied. Subjects underwent (1)H-MRSI and were given the N-back working memory test. RESULTS: The schizophreniform disorder patients had selective reductions of N-acetylaspartate ratios in the hippocampal area and the dorsolateral prefrontal cortex, and a positive correlation was seen between N-acetylaspartate ratios in the dorsolateral prefrontal cortex and performance during the 2-back working memory condition. CONCLUSIONS: Similar to findings reported in schizophrenia studies, N-acetylaspartate reductions in the hippocampal area and the dorsolateral prefrontal cortex were seen in patients with schizophreniform disorder. Moreover, the results support other evidence that neuronal pathology in the dorsolateral prefrontal cortex accounts for a proportion of working memory deficits already present at illness outset.

Adult↗

Actual role of unenhanced magnetic resonance angiography (mra tof 3d) in the study of stenosis and occlusion of extracranial carotid artery.

PURPOSE: To evaluate the diagnostic accuracy, sensitivity and specificity of MRA (3D TOF) in comparison to contrast-enhanced MRA using DSA as the gold standard in the study of steno-occlusive disease of the internal carotid artery, in order to determine if this technique still has a diagnostic value. MATERIALS AND METHODS: Three radiologists blindly and independently evaluated either the unenhanced MRA, CE MRA, or DSA images of 23 consecutive patients, assessing the stenosis based on a NASCET five-class classification. RESULTS: The sensitivity, specificity, and diagnostic accuracy of CE MRA and unenhanced MRA were 100% and 100%, 100% and 95.5% and 100% and 93.2%, respectively. These differences were not statistically significant. CONCLUSIONS: Unenhanced MRA should be still considered a valid alternative for studying the extracranial section of the internal carotid arteries especially in patients who refuse or whose laboratory results exclude the use of contrast medium or in patients in whom continuous monitoring of a clinical condition is required but a repeated and/or frequent use of contrast medium is not possible.

Aged↗