KENIA REPISO CAMPANHOLO
Projetos de Pesquisa
Unidades Organizacionais
Instituto do Câncer do Estado de São Paulo, Hospital das Clínicas, Faculdade de Medicina
LIM/43 - Laboratório de Medicina Nuclear, Hospital das Clínicas, Faculdade de Medicina
LIM/43 - Laboratório de Medicina Nuclear, Hospital das Clínicas, Faculdade de Medicina
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- Altered Functional Connectivity Between Precuneus and Motor Systems in Parkinson's Disease Patients(2017) THIBES, Raissa Benocci; NOVAES, Natalia P.; LUCATO, Leandro T.; CAMPANHOLO, Kenia R.; MELO, Luciano M.; LEITE, Claudia C.; AMARO JR., Edson; BARBOSA, Egberto Reis; BOR-SENG-SHU, Edson; CARDOSO, Ellison Fernando; SATO, Joao RicardoParkinson's disease (PD) is a neurodegenerative disorder that affects motor skills and cognition. As brain structure and function are compromised, functional magnetic resonance imaging (fMRI) can be a helpful tool to further investigate how intrinsic connectivity is impaired on the disease. The precuneus and medial prefrontal cortex (mPFC) are hub regions involved on the default mode network (DMN), a system that is active during rest and related to cognitive processes. We hypothesized that PD patients would present a decrease in functional connectivity among these two regions and the rest of the brain. Our goal was to identify regions in which functional connectivity to precuneus and mPFC was altered in PD. This study was based on resting-state fMRI data from 37 healthy subjects and 55 PD patients. Precuneus and mPFC were selected as seed regions in a whole brain functional connectivity mapping. As expected, we found abnormal connectivity from precuneus to motor system regions in PD patients, pointing toward a decreased connectivity in the disease. No significant group effects were found for the mPFC. Our findings suggest that internetwork connectivity from DMN to motor system is impaired in PD.
- Substantia nigra fractional anisotropy is not a diagnostic biomarker of Parkinson's disease: A diagnostic performance study and meta-analysis(2017) HIRATA, Fabiana C. C.; SATO, Joao R.; VIEIRA, Gilson; LUCATO, Leandro T.; LEITE, Claudia C.; BOR-SENG-SHU, Edson; PASTORELLO, Bruno F.; OTADUY, Maria C. G.; CHAIM, Khallil T.; CAMPANHOLO, Kenia R.; NOVAES, Natalia P.; MELO, Luciano Magalhaes; GONCALVES, Marcia R.; NASCIMENTO, Felipe Barjud Pereira do; TEIXEIRA, Manoel Jacobsen; BARBOSA, Egberto Reis; AMARO JR., Edson; CARDOSO, Ellison FernandoObjectives Our goal was to estimate the diagnostic accuracy of substantia nigra fractional anisotropy (SN-FA) for Parkinson's disease (PD) diagnosis in a sample similar to the clinical setting, including patients with essential tremor (ET) and healthy controls (HC). We also performed a systematic review and meta-analysis to estimate mean change in SN-FA induced by PD and its diagnostic accuracy. Methods Our sample consisted of 135 subjects: 72 PD, 21 ET and 42 HC. To address inter-scanner variability, two 3.0-T MRI scans were performed. MRI results of this sample were pooled into a meta-analysis that included 1,432 subjects (806 PD and 626 HC). A bivariate model was used to evaluate diagnostic accuracy measures. Results In our sample, we did not observe a significant effect of disease on SN-FA and it was uninformative for diagnosis. The results of the meta-analysis estimated a 0.03 decrease in mean SN-FA in PD relative to HC (CI: 0.01-0.05). However, the discriminatory capability of SN-FA to diagnose PD was low: pooled sensitivity and specificity were 72 % (CI: 68-75) and 63 % (CI: 58-70), respectively. There was high heterogeneity between studies (I-2 = 91.9%). Conclusions SN-FAcannot be used as an isolatedmeasure to diagnose PD.
- Impact of sociodemographic variables on executive functions(2017) CAMPANHOLO, Kenia Repiso; BOA, Izadora Nogueira Fonte; HODROJ, Flávia Cristina da Silva Araujo; GUERRA, Glaucia Rosana Benute; MIOTTO, Eliane Correa; LUCIA, Mara Cristina Souza deABSTRACT Executive functions (EFs) regulate human behavior and allow individuals to interact and act in the world. EFs are sensitive to sociodemographic variables such as age, which promotes their decline, and to others that can exert a neuroprotective effect. Objective: To assess the predictive role of education, occupation and family income on decline in executive functions among a sample with a wide age range. Methods: A total of 925 participants aged 18-89 years with 1-28 years' education were submitted to assessment of executive functions using the Card Sorting Test (CST), Phonemic Verbal Fluency (FAS) Task and Semantic Verbal Fluency (SVF) Task. Data on income, occupation and educational level were collected for the sample. The data were analyzed using Linear Regression, as well as Pearson's and Spearman's Correlation. Results: Age showed a significant negative correlation (p<0.001) with performance on the CST, FAS and SVF, whereas education, income and occupation were positively associated (p<0.001) with the tasks applied. After application of the multivariate linear regression model, a significant positive relationship with the FAS was maintained only for education (p<0.001) and income (p<0.001). The negative relationship of age (p<0.001) and positive relationship of both education (p<0.001) and income (p<0.001 and p=0.003) were evident on the CST and SVF. Conclusion: Educational level and income positively influenced participants' results on executive function tests, attenuating expected decline for age. However, no relationship was found between occupation and the cognitive variables investigated.