JESSICA NATULINE IANOF
Projetos de Pesquisa
Unidades Organizacionais
LIM/45 - Laboratório de Fisiopatologia Neurocirúrgica, Hospital das Clínicas, Faculdade de Medicina
10 resultados
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Agora exibindo 1 - 10 de 10
- Traumatic brain injury pharmacological treatment: recommendations(2018) ANGHINAH, Renato; AMORIM, Robson Luis Oliveira de; PAIVA, Wellingson Silva; SCHMIDT, Magali Taino; IANOF, Jessica NatulineThis article presents the recommendations on the pharmacological treatment employed in traumatic brain injury (TBI) at the outpatient clinic of the Cognitive Rehabilitation after TBI Service of the Hospital das Clinicas da Faculdade de Medicina da Universidade de Sao Paulo, Brazil. A systematic assessment of the consensus reached in other countries, and of articles on TBI available in the PUBMED and LILACS medical databases, was carried out. We offer recommendations of pharmacological treatments in patients after TBI with different symptoms.
- Traumatic brain injury: An EEG point of view(2017) IANOF, Jéssica Natuline; ANGHINAH, RenatoABSTRACT Traumatic brain injury (TBI) is a silent epidemic. Mild traumatic brain injury (mTBI) causes brain injury that results in electrophysiologic abnormalities visible on electroencephalography (EEG) recordings. The purpose of this brief review was to discuss the importance of EEG findings in traumatic brain injury. Relevant articles published during the 1996-2016 period were retrieved from Medline (PubMed). The keywords were in English and included ""traumatic brain injury"", ""EEG"" and ""quantitative EEG"". We found 460 articles, analyzed 52 and selected 13 articles. EEG after TBI shows slowing of the posterior dominant rhythm and increased diffuse theta slowing, which may revert to normal within hours or may clear more slowly over many weeks. There are no clear EEG or quantitative EEG (qEEG) features unique to mild traumatic brain injury. Although the literature indicates the promise of qEEG in reaching a diagnosis and indicating prognosis of mTBI, further study is needed to corroborate and refine these methods.
- Comparative analysis of the electroencephalogram in patients with Alzheimer's disease, diffuse axonal injury patients and healthy controls using LORETA analysis(2017) IANOF, Jéssica Natuline; FRAGA, Francisco José; FERREIRA, Leonardo Alves; RAMOS, Renato Teodoro; DEMARIO, José Luiz Carlos; BARATHO, Regina; BASILE, Luís Fernando Hindi; NITRINI, Ricardo; ANGHINAH, RenatoABSTRACT Alzheimer's disease (AD) is a dementia that affects a large contingent of the elderly population characterized by the presence of neurofibrillary tangles and senile plaques. Traumatic brain injury (TBI) is a non-degenerative injury caused by an external mechanical force. One of the main causes of TBI is diffuse axonal injury (DAI), promoted by acceleration-deceleration mechanisms. Objective: To understand the electroencephalographic differences in functional mechanisms between AD and DAI groups. Methods: The study included 20 subjects with AD, 19 with DAI and 17 healthy adults submitted to high resolution EEG with 128 channels. Cortical sources of EEG rhythms were estimated by exact low-resolution electromagnetic tomography (eLORETA) analysis. Results: The eLORETA analysis showed that, in comparison to the control (CTL) group, the AD group had increased theta activity in the parietal and frontal lobes and decreased alpha 2 activity in the parietal, frontal, limbic and occipital lobes. In comparison to the CTL group, the DAI group had increased theta activity in the limbic, occipital sublobar and temporal areas. Conclusion: The results suggest that individuals with AD and DAI have impairment of electrical activity in areas important for memory and learning.
conferenceObject (18)FDG-PET and morphometric brain analysis in retired soccer players exposed to long-term mild traumatic brain injuries(2018) ARANHA, M. R.; COUTINHO, A. M.; GODOI, C.; CHAIM, K. T.; PASTORELLO, B.; ANGINAH, R.; IANOF, J.; BUCHPIGUEL, C. A.; LEITE, C. C.- Prevalence of depressive symptoms among elderly in the city of Tremembé, Brazil: Preliminary findings of an epidemiological study(2013) CÉSAR, Karolina G.; TAKADA, Leonel T.; BRUCKI, Sonia M.D.; NITRINI, Ricardo; NASCIMENTO, Luiz Fernando C.; OLIVEIRA, Maira O.; GOMES, Camila M.S.; ALMEIDA, Milena C.S.; PORTO, Fábio H.; SENAHA, Mirna L.H.; BAHIA, Valéria S.; YASSUDA, Mônica S.; SILVA, Thaís B.L.; IANOF, Jéssica N.; SPÍNDOLA, Lívia; SCHMIDT, Magali T.; JORGE, Mário S.; VALE, Patrícia H.F.; CECCHINI, Mário A.; CASSIMIRO, Luciana; SOARES, Roger T.; GONÇALVES, Márcia Rúbia; MARTINS, Ana Caroline S.; ROCHA, Elisângela; DARÉ, PatríciaABSTRACT Depression is a heterogeneous mental disease classified as a set of disorders, which manifest with a certain duration, frequency and intensity. The prevalence of depression in the elderly ranges from 0.5 to 16%. Objective To establish, in an epidemiological study, the prevalence of significant depressive symptoms in the population aged 60 years or older. Methods: Results of a cross-sectional epidemiological study, involving home visits, being carried out in the city of Tremembé, Brazil, were reported. The sample was randomly selected by drawing 20% of the population over 60 years from each of the city's census sectors. In this single-phase study, the assessment included clinical history, physical and neurological examination, cognitive evaluation, the Cornell scale and the Patient Health Questionnaire for psychiatric symptoms. Scores greater than or equal to 8 on the Cornell scale were taken to indicate the presence of depressive symptoms. Results: A total of 455 elders were assessed, and of these 169 (37.1%) had clinically significant depressive symptoms (CSDS). Depression prevalence was higher among women (p<0.001) and individuals with lower education (p=0.033). The Chi-square test for trends showed a significant relationship where lower socioeconomic status was associated with greater likelihood of depressive symptoms (p=0.005). Conclusion: The prevalence of depressive symptoms was high in this sample of the population-based study and was associated with female gender, low educational level and socioeconomic status. The assessment of the entire population sample must be completed.
- BPSD following traumatic brain injury(2013) ANGHINAH, Renato; FREIRE, Fabio Rios; COELHO, Fernanda; LACERDA, Juliana Rhein; SCHMIDT, Magali Taino; CALADO, Vanessa Tomé Gonçalves; IANOF, Jéssica Natuline; MACHADO, Sergio; VELASQUES, Bruna; RIBEIRO, Pedro; BASILE, Luis Fernando Hindi; PAIVA, Wellingson Silva; AMORIM, Robson LuisABSTRACT Annually, 700,000 people are hospitalized with brain injury acquired after traumatic brain injury (TBI) in Brazil. Objective: We aim to review the basic concepts related to TBI, and the most common Behavioral and Psychological Symptoms of Dementia (BPSD) findings in moderate and severe TBI survivors. We also discussed our strategies used to manage such patients in the post-acute period. Methods: Fifteen TBI outpatients followed at the Center for Cognitive Rehabilitation Post-TBI of the Clinicas Hospital of the University of São Paulo were submitted to a neurological, neuropsychological, speech and occupational therapy evaluation, including the Mini-Mental State Examination. Rehabilitation strategies will then be developed, together with the interdisciplinary team, for each patient individually. Where necessary, the pharmacological approach will be adopted. Results: Our study will discuss options of pharmacologic treatment choices for cognitive, behavioral, or affective disorders following TBI, providing relevant information related to a structured cognitive rehabilitation service and certainly will offer an alternative for patients and families afflicted by TBI. Conclusion: Traumatic brain injury can cause a variety of potentially disabling psychiatric symptoms and syndromes. Combined behavioral and pharmacological strategies, in the treatment of a set of highly challenging behavioral problems, appears to be essential for good patient recovery.
- Performance of the Visual Analogue Scale of Happiness and of the Cornell Scale for Depression in Dementia in the Tremembé Epidemiological Study, Brazil(2014) CÉSAR, Karolina G.; BRUCKI, Sonia M.D.; TAKADA, Leonel T.; NASCIMENTO, Luiz Fernando C.; GOMES, Camila M.S.; ALMEIDA, Milena C.S.; OLIVEIRA, Maira O.; PORTO, Fábio H.G.; SENAHA, Mirna L.H.; BAHIA, Valéria S.; SILVA, Thaís Bento L.; IANOF, Jéssica N.; SPÍNDOLA, Lívia; SCHMIDT, Magali T.; JORGE, Mário S.; VALE, Patrícia H.F.; CECCHINI, Mário A.; CASSIMIRO, Luciana; SOARES, Roger T.; GONÇALVES, Márcia R.; SMID, Jerusa; PORTO, Claudia S.; CARTHERY-GOULART, Maria Teresa; YASSUDA, Mônica S.; MANSUR, Letícia L.; NITRINI, RicardoDepression is a major growing public health problem. Many population studies have found a significant relationship between depression and the presence of cognitive disorders. OBJECTIVE: To establish the correlation between the Visual Analogue Scale of Happiness and the Cornell Scale for Depression in Dementia in the population aged 60 years or over in the city of Tremembé, state of São Paulo, Brazil. METHODS: An epidemiological survey involving home visits was carried out in the city of Tremembé. The sample was randomly selected by drawing 20% of the population aged 60 years or older from each of the city's census sectors. In this single-phase study, the assessment included clinical history, physical and neurological examination, cognitive evaluation, and application of both the Cornell Scale and the Analogue Scale of Happiness for psychiatric symptoms. The presence of depressive symptoms was defined as scores greater than or equal to 8 points on the Cornell Scale. RESULTS: A total of 623 subjects were evaluated and of these 251 (40.3%) had clinically significant depressive symptoms on the Cornell Scale, with a significant association with female gender (p<0.001) and with lower education (p=0.012). One hundred and thirty-six participants (21.8%) chose the unhappiness faces, with a significant association with age (p<0.001), female gender (p=0.020) and low socioeconomic status (p=0.012). Although there was a statistically significant association on the correlation test, the correlation was not high (rho=0.47). CONCLUSION: The prevalence of depressive symptoms was high in this sample and the Visual Analogue Scale of Happiness and Cornell Scale for Depression in Dementia should not be used as similar alternatives for evaluating the presence of depressive symptoms, at least in populations with low educational level.
conferenceObject Improvement in the automatic classification of Alzheimer's disease using EEG after feature selection(2019) TAVARES, Guilherme; SAN-MARTIN, Rodrigo; IANOF, Jessica N.; ANGHINAH, Renato; FRAGA, Francisco J.Improvement in early Alzheimer's disease (AD) diagnosis using EEG, as a consequence of advances in Machine Learning (ML) techniques, may be a valuable asset to physicians. However, in order to disseminate the use of this technology through distinct areas of the globe, from developed to developing countries, from urban to rural regions and from dense to underpopulated regions, the system must be simple, reliable and economically viable. Towards this goal, we evaluated automatic AD-EEG diagnosis accuracy changes before and after feature selection. Nineteen AD patients and 17 healthy subjects (HS) had their resting-state 32-channel EEG recorded for 25 minutes. Power spectrum density (PSD) in bands delta (1.5 - 6 Hz), theta (6.5 - 8 Hz), alpha1 (8.5 10 Hz), alpha2 (10.5 - 12 Hz), beta1 (12.5 - 18 Hz), beta2 (18.5 - 21 Hz) and beta3 (21.5 - 30 Hz) were extracted from EEG signals. After that, participants were automatically classified as AD or HS with eight different machine learning algorithms under Regression, Tree, Support Vector Machine (SVM) and Ensemble categories. Lastly, feature selection (FS) yielded a robust reduction to the number of features and channels needed and also improved classification performance. After FS, the Regression, SVM and Ensemble categories displayed average accuracy of 95.6% (92.86 - 97.14), F1 score of 97.74% (96.3 - 98.55), channel numbers 25.88 (10.4 - 31) and number of features 68.52 (13.18 - 93.4). Our results suggest that reducing the number of features and channels may not only optimize the computational and equipment cost, as well as EEG test preparation time and complexity (due to the reduced number of channels), but also increase the discriminatory power of classifiers.- Sport-related concussions(2014) IANOF, Jéssica Natuline; FREIRE, Fabio Rios; CALADO, Vanessa Tomé Gonçalves; LACERDA, Juliana Rhein; COELHO, Fernanda; VEITZMAN, Silvia; SCHMIDT, Magali Taino; MACHADO, Sergio; VELASQUES, Bruna; RIBEIRO, Pedro; BASILE, Luis Fernando Hindi; PAIVA, Wellingson Silva; AMORIM, Robson; ANGHINAH, RenatoABSTRACT Traumatic brain injury (TBI) is a major cause of lifelong disability and death worldwide. Sport-related traumatic brain injury is an important public health concern. The purpose of this review was to highlight the importance of sport-related concussions. Concussion refers to a transient alteration in consciousness induced by external biomechanical forces transmitted directly or indirectly to the brain. It is a common, although most likely underreported, condition. Contact sports such as American football, rugby, soccer, boxing, basketball and hockey are associated with a relatively high prevalence of concussion. Various factors may be associated with a greater risk of sport-related concussion, such as age, sex, sport played, level of sport played and equipment used. Physical complaints (headache, fatigue, dizziness), behavioral changes (depression, anxiety, irritability) and cognitive impairment are very common after a concussion. The risk of premature return to activities includes the prolongation of post-concussive symptoms and increased risk of concussion recurrence.
conferenceObject Preliminary data of the first post-traumatic brain-injured (TBI) cognitive rehabilitation outpatient centre in Brazil (University of Sao Paulo, School of Medicine)(2017) AREZA-FEGYVERES, Renata; IANOF, Jessica Natuline; GUARIGLIA, Carla; WATANABE, Rafael Gustavo Sato; SCHMIDT, Magali Taino; FREIRE, Fabio Rios; NADRUZ, Patricia; OLIVEIRA, Eduardo; NASCIMENTO, Diana; ARAUJO, Amanda Vitoria; COELHO, Fernanda; ANGHINAH, Renato