CLAUDIA DA COSTA LEITE

(Fonte: Lattes)
Índice h a partir de 2011
27
Projetos de Pesquisa
Unidades Organizacionais
Departamento de Radiologia, Faculdade de Medicina - Docente
LIM/44 - Laboratório de Ressonância Magnética em Neurorradiologia, Hospital das Clínicas, Faculdade de Medicina - Líder

Resultados de Busca

Agora exibindo 1 - 5 de 5
  • conferenceObject
    Increased Insula Activity Is Associated with Improved Mood in Healthy Subjects on Clomipramine
    (2015) BUSATTO, Geraldo; PHILLIPS, Mary L.; CERQUEIRA, Carlos T.; ZILBERMAN, Monica; LOBO, Daniela; HENNA, Elaine; TAVARES, Hermano; AMARO, Edson; LEITE, Claudia C.; GORENSTEIN, Clarice; GENTIL, Valentim; ALMEIDA, Jorge R. C.
  • article 18 Citação(ões) na Scopus
    Diffusion abnormalities of the corpus callosum in patients with malformations of cortical development and epilepsy
    (2014) ANDRADE, Celi S.; LEITE, Claudia C.; OTADUY, Maria C. G.; LYRA, Katarina P.; VALENTE, Kette D. R.; YASUDA, Clarissa L.; BELTRAMINI, Guilherme C.; BEAULIEU, Christian; GROSS, Donald W.
    Purpose: Diffusion tensor imaging (DTI) is a magnetic resonance imaging (MRI) technique that can characterize white matter (WM) architecture and microstructure. DTI has demonstrated extensive WM changes in patients with several epileptic syndromes, but few studies have focused on patients with malformations of cortical development (MCD). Our aim was to investigate the quantitative diffusion properties of the corpus callosum (CC), a major commissural bundle critical in inter-hemispheric connectivity, in a large group of patients with MCD. Methods: Thirty-two MCD patients and 32 age and sex-matched control subjects were evaluated with DTI at 3.0 T. We analyzed the three major subdivisions of the CC (genu, body, and splenium) with deterministic tractography to yield fractional anisotropy (FA), mean diffusivity (MD), parallel diffusivity (lambda parallel to) and perpendicular diffusivity (lambda perpendicular to). We further assessed the CC with region of interest (ROI)-based analyses and evaluated different subgroups of MCD (polymicrogyria/schizencephaly, heterotopia, and cortical dysplasia). Partial correlations between diffusion changes and clinical parameters (epilepsy duration and age at disease onset) were also queried. Results: There were significant reductions of FA, accompanied by increases in MD and lambda perpendicular to in all segments of the CC in the patients group with both analytical methods. The absolute differences in FA were greater on ROI-analyses. There were no significant differences between the MCD subgroups, and no correlations between clinical parameters of epilepsy and FA. Conclusions: Our study indicates DTI abnormalities consistent with microstructural changes in the corpus callosum of MCD patients. The findings support the idea that patients with epilepsy secondary to cortical malformations present widespread WM changes that extend beyond the macroscopic MRI-visible lesions.
  • article 0 Citação(ões) na Scopus
    Phenotyping Superagers Using Resting-State fMRI
    (2023) GODOY, L. L. de; STUDART-NETO, A.; PAULA, D. R. de; GREEN, N.; HALDER, A.; ARANTES, P.; CHAIM, K. T.; MORAES, N. C.; YASSUDA, M. S.; NITRINI, R.; DRESLER, M.; LEITE, C. da Costa; PANOVSKA-GRIFFITHS, J.; SODDU, A.; BISDAS, S.
    BACKGROUND AND PURPOSE: Superagers are defined as older adults with episodic memory performance similar or superior to that in middle-aged adults. This study aimed to investigate the key differences in discriminative networks and their main nodes between superagers and cognitively average elderly controls. In addition, we sought to explore differences in sensitivity in detecting these functional activities across the networks at 3T and 7T MR imaging fields. MATERIALS AND METHODS: Fifty-five subjects 80 years of age or older were screened using a detailed neuropsychological protocol, and 31 participants, comprising 14 superagers and 17 cognitively average elderly controls, were included for analysis. Participants underwent resting-state-fMRI at 3T and 7T MR imaging. A prediction classification algorithm using a penalized regression model on the measurements of the network was used to calculate the probabilities of a healthy older adult being a superager. Additionally, ORs quantified the influence of each node across preselected networks. RESULTS: The key networks that differentiated superagers and elderly controls were the default mode, salience, and language networks. The most discriminative nodes (ORs > 1) in superagers encompassed areas in the precuneus posterior cingulate cortex, prefrontal cortex, temporoparietal junction, temporal pole, extrastriate superior cortex, and insula. The prediction classification model for being a superager showed better performance using the 7T compared with 3T resting-state-fMRI data set. CONCLUSIONS: Our findings suggest that the functional connectivity in the default mode, salience, and language networks can provide potential imaging biomarkers for predicting superagers. The 7T field holds promise for the most appropriate study setting to accurately detect the functional connectivity patterns in superagers.
  • conferenceObject
    DIFFUSION TENSOR IMAGING ABNORMALITIES OF THE CORPUS CALLOSUM IN MALFORMATIONS OF CORTICAL DEVELOPMENT
    (2014) ANDRADE, C. S.; LEITE, C. C.; OTADUY, M. C. G.; LYRA, K. P.; VALENTE, K. D. R.; YASUDA, C. L.; BELTRAMINI, G. C.; BEAULIEU, C.; GROSS, D. W.
  • article 1 Citação(ões) na Scopus
    DTI-derived parameters differ between moderate and severe traumatic brain injury and its association with psychiatric scores
    (2022) ZANINOTTO, Ana Luiza; GRASSI, Daphine Centola; DUARTE, Dante; RODRIGUES, Priscila Aparecida; CARDOSO, Ellison; FELTRIN, Fabricio Stewan; GUIRADO, Vinicius Monteiro de Paula; MACRUZ, Fabiola Bezerra de Carvalho; OTADUY, Maria Concepcion Garcia; LEITE, Claudia da Costa; PAIVA, Wellingson Silva; ANDRADE, Celi Santos
    Background and aim Diffusion tensor imaging (DTI) parameters in the corpus callosum have been suggested to be a biomarker for prognostic outcomes in individuals with diffuse axonal injury (DAI). However, differences between the DTI parameters on moderate and severe trauma in DAI over time are still unclear. A secondary goal was to study the association between the changes in the DTI parameters, anxiety, and depressive scores in DAI over time. Methods Twenty subjects were recruited from a neurological outpatient clinic and evaluated at 2, 6, and 12 months after the brain injury and compared to matched age and sex healthy controls regarding the DTI parameters in the corpus callosum. State-Trace Anxiety Inventory and Beck Depression Inventory were used to assess psychiatric outcomes in the TBI group over time. Results Differences were observed in the fractional anisotropy and mean diffusivity of the genu, body, and splenium of the corpus callosum between DAI and controls (p < 0.02). Differences in both parameters in the genu of the corpus callosum were also detected between patients with moderate and severe DAI (p < 0.05). There was an increase in the mean diffusivity values and the fractional anisotropy decrease in the DAI group over time (p < 0.02). There was no significant correlation between changes in the fractional anisotropy and mean diffusivity across the study and psychiatric outcomes in DAI. Conclusion DTI parameters, specifically the mean diffusivity in the corpus callosum, may provide reliable characterization and quantification of differences determined by the brain injury severity. No correlation was observed with DAI parameters and the psychiatric outcome scores.