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
5 resultados
Resultados de Busca
Agora exibindo 1 - 5 de 5
- Performance of a sample of patients with Mild Cognitive Impairment (MCI), Alzheimer's Disease (AD) and healthy elderly on a lexical decision test (LDT) as a measure of pre-morbid intelligence(2015) SERRAO, Valéria Trunkl; BRUCKI, Sônia Maria Dozzi; CAMPANHOLO, Kenia Repiso; MANSUR, Letícia Lessa; NITRINI, Ricardo; MIOTTO, Eliane CorreaObjective: The objective of this study was to describe the performance of healthy elderly patients with aging-related pathologies (MCI) and patients with AD on a lexical decision test. Methods: The study included 38 healthy elderly subjects, 61 MCI and 26 AD patients from the Neurology Department of the Hospital das Clinicas, Behavioral and Cognitive Neurology Group. The neuropsychological instruments included the episodic memory test (RAVLT), subtests from the WAIS-III (Matrix Reasoning and Vocabulary) to determine estimated IQ, the Boston naming test (BNT) and Lexical Decision Test (LDT).Results:All groups differed on the MMSE, as expected according to their pathologies, memory tests, naming and estimated IQ. For the vocabulary and the LDT - measures of crystalized intelligence no differences were found. Conclusion: The LDT demonstrated that lexical decision can be used as a measure of pre-morbid IQ among the individuals assessed in a Brazilian sample.
- Performance of an adult Brazilian sample on the Trail Making Test and Stroop Test(2014) CAMPANHOLO, Kenia Repiso; ROMÃO, Marcos Antunes; MACHADO, Melissa de Almeida Rodrigues; SERRAO, Valéria Trunkl; COUTINHO, Denise Gonçalves Cunha; BENUTE, Gláucia Rosana Guerra; LUCIA, Mara Cristina Souza deABSTRACT Objective: The Trail Making Test (TMT) and Stroop Test (ST) are attention tests widely used in clinical practice and research. The aim of this study was to provide normative data for the adult Brazilian population and to study the influence of gender, age and education on the TMT parts A and B, and ST cards A, B and C. Methods: We recruited 1447 healthy subjects aged ≥18 years with an educational level of 0-25 years who were native speakers of Portuguese (Brazilian). The subjects were evaluated by the Matrix Reasoning and Vocabulary subtests of the Wechsler Adult Intelligence Scale-III, along with the TMTA, TMTB and ST A, B and C. Results: Among the participants, mean intellectual efficiency was 103.20 (SD: 12.0), age 41.0 (SD: 16.4) years and education 11.9 (SD: 5.6) years. There were significant differences between genders on the TMTA (p=0.002), TMTB (p=0.017) and STC (p=0.024). Age showed a positive correlation with all attention tests, whereas education showed a negative correlation. Gender was not found to be significant on the multiple linear regression model, but age and education maintained their interference. Conclusion: Gender did not have the major impact on attentional tasks observed for age and education, both of which should be considered in the stratification of normative samples.
conferenceObject Spinal Cord imaging by [11C]PIB PET/MRI: evaluation of drawing methods and reference region use in myelin uptake quantification of Healthy Volunteers and Multiple Sclerosis Patients(2023) LUCENA, L. Zorante de; PITOMBEIRA, M. Sales; CAMPANHOLO, K. Repiso; BUCHPIGUEL, C. Alberto; FARIA, D. de Paula- The effect of lesion filling on brain network analysis in multiple sclerosis using structural magnetic resonance imaging(2022) WEIJDEN, Chris W. J. van der; PITOMBEIRA, Milena S.; HAVEMAN, Yudith R. A.; SANCHEZ-CATASUS, Carlos A.; CAMPANHOLO, Kenia R.; KOLINGER, Guilherme D.; RIMKUS, Carolina M.; BUCHPIGUEL, Carlos A.; DIERCKX, Rudi A. J. O.; RENKEN, Remco J.; MEILOF, Jan F.; VRIES, Erik F. J. de; FARIA, Daniele de PaulaBackground Graph theoretical network analysis with structural magnetic resonance imaging (MRI) of multiple sclerosis (MS) patients can be used to assess subtle changes in brain networks. However, the presence of multiple focal brain lesions might impair the accuracy of automatic tissue segmentation methods, and hamper the performance of graph theoretical network analysis. Applying ""lesion filling"" by substituting the voxel intensities of a lesion with the voxel intensities of nearby voxels, thus creating an image devoid of lesions, might improve segmentation and graph theoretical network analysis. This study aims to determine if brain networks are different between MS subtypes and healthy controls (HC) and if the assessment of these differences is affected by lesion filling. Methods The study included 49 MS patients and 19 HC that underwent a T1w, and T2w-FLAIR MRI scan. Graph theoretical network analysis was performed from grey matter fractions extracted from the original T1w-images and T1w-images after lesion filling. Results Artefacts in lesion-filled T1w images correlated positively with total lesion volume (r = 0.84, p < 0.001) and had a major impact on grey matter segmentation accuracy. Differences in sensitivity for network alterations were observed between original T1w data and after application of lesion filling: graph theoretical network analysis obtained from lesion-filled T1w images produced more differences in network organization in MS patients. Conclusion Lesion filling might reduce variability across subjects resulting in an increased detection rate of network alterations in MS, but also induces significant artefacts, and therefore should be applied cautiously especially in individuals with higher lesions loads.
- 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.