RENATO ANGHINAH
Projetos de Pesquisa
Unidades Organizacionais
Instituto Central, Hospital das Clínicas, Faculdade de Medicina
LIM/45 - Laboratório de Fisiopatologia Neurocirúrgica, Hospital das Clínicas, Faculdade de Medicina
LIM/45 - Laboratório de Fisiopatologia Neurocirúrgica, Hospital das Clínicas, Faculdade de Medicina
59 resultados
Resultados de Busca
Agora exibindo 1 - 10 de 59
- 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.
conferenceObject Towards Automated EEG-Based Alzheimer's Disease Diagnosis Using Relevance Vector Machines(2014) CASSANI, Raymundo; FALK, Tiago H.; FRAGA, Francisco J.; KANDA, Paulo A.; ANGHINAH, RenatoExisting electroencephalography (EEG) based Alzheimer's disease (AD) diagnostic systems typically rely on experts to visually inspect and segment the collected signals into artefact-free epochs and on support vector machine (SVM) based classifiers. The manual selection process, however, introduces biases and errors into the diagnostic procedure, renders it ""semi-automated,"" and makes the procedure costly and labour-intensive. In this paper, we overcome these limitations by proposing the use of an automated artefact removal (AAR) algorithm to remove artefacts from the EEG signal without the need for human intervention. We investigate the effects of the so-called wavelet-enhanced independent component analysis (wICA) AAR on three classes of EEG features, namely spectral power, coherence, and amplitude modulation, and ultimately, on diagnostic accuracy, specificity and sensitivity. Furthermore, we propose to replace the binary SVM classifier with a soft-decision relevance vector machine (RVM) classifier. Experimental results show the proposed RVM-based system outperforming the SVM trained on features extracted from both manually-selected and wICA-processed epochs. Moreover, the class membership information output by the RVM is shown to provide clinicians with a richer pool of information to assist with AD assessment.- Characterizing Alzheimer's Disease Severity via Resting-Awake EEG Amplitude Modulation Analysis(2013) FRAGA, Francisco J.; FALK, Tiago H.; KANDA, Paulo A. M.; ANGHINAH, RenatoChanges in electroencephalography (EEG) amplitude modulations have recently been linked with early-stage Alzheimer's disease (AD). Existing tools available to perform such analysis (e.g., detrended fluctuation analysis), however, provide limited gains in discriminability power over traditional spectral based EEG analysis. In this paper, we explore the use of an innovative EEG amplitude modulation analysis technique based on spectro-temporal signal processing. More specifically, full-band EEG signals are first decomposed into the five well-known frequency bands and the envelopes are then extracted via a Hilbert transform. Each of the five envelopes are further decomposed into four so-called modulation bands, which were chosen to coincide with the delta, theta, alpha and beta frequency bands. Experiments on a resting-awake EEG dataset collected from 76 participants (27 healthy controls, 27 diagnosed with mild-AD, and 22 with moderate-AD) showed significant differences in amplitude modulations between the three groups. Most notably, i) delta modulation of the beta frequency band disappeared with an increase in disease severity (from mild to moderate AD), ii) delta modulation of the theta band appeared with an increase in severity, and iii) delta modulation of the beta frequency band showed to be a reliable discriminant feature between healthy controls and mild-AD patients. Taken together, it is hoped that the developed tool can be used to assist clinicians not only with early detection of Alzheimer's disease, but also to monitor its progression.
- Evaluation of patients with Alzheimer's disease before and after dental treatment(2014) ROLIM, Thais de Souza; FABRI, Gisele Maria Campos; NITRINI, Ricardo; ANGHINAH, Renato; TEIXEIRA, Manoel Jacobsen; SIQUEIRA, Jose Tadeu T. de; CESARI, Jose Augusto Ferrari; SIQUEIRA, Silvia Regina Dowgan Tesseroli deOral infections may play a role in Alzheimer's disease (AD). Objective: To describe the orofacial pain, dental characteristics and associated factors in patients with Alzheimer's Disease that underwent dental treatment. Method: 29 patients with mild AD diagnosed by a neurologist were included. They fulfilled the Mini Mental State Exam and Pfeffer's questionnaire. A dentist performed a complete evaluation: clinical questionnaire; research diagnostic criteria for temporomandibular disorders; McGill pain questionnaire; oral health impact profile; decayed, missing and filled teeth index; and complete periodontal investigation. The protocol was applied before and after the dental treatment. Periodontal treatments (scaling), extractions and topic nystatin were the most frequent. Results: There was a reduction in pain frequency (p=0.014), mandibular functional limitations (p=0.011) and periodontal indexes (p<0.05), and an improvement in quality of life (p=0.009) and functional impairment due to cognitive compromise (p<0.001) after the dental treatment. Orofacial complaints and intensity of pain also diminished. Conclusion: The dental treatment contributed to reduce co-morbidities associated with AD and should be routinely included in the assessment of these patients.
article 19 Citação(ões) na Scopus Alzheimer's disease qEEG Spectral analysis versus coherence. Which is the best measurement?(2011) ANGHINAH, Renato; KANDA, Paulo Afonso Medeiros; LOPES, Helder Frederico; BASILE, Luis Fernando Hindi; MACHADO, Sergio; RIBEIRO, Pedro.; VELASQUES, Bruna; SAMESHIMA, Koichi; TAKAHASHI, Daniel Yasumasa; PINTO, Lecio Figueira; CARAMELLI, Paulo; NITRINI, RicardoThere is evidence in electroencephalography that alpha, theta and delta band oscillations reflect cognitive and memory performances and that quantitative techniques can improve the electroencephalogram (EEG) sensitivity. This paper presents the results of comparative analysis of qEEG variables as reliable markers for Alzheimer's disease (AD). We compared the sensitivity and specificity between spectral analysis (spectA) and coherence (Coh) within the same group of AD patients. SpectA and Coh were calculated from EEGs of 40 patients with mild to moderate AD and 40 healthy elderly controls. The peak of spectA was smaller in the AD group than in controls. AD group showed predominance of slow spectA in theta and delta bands and a significant reduction of inter-hemispheric Coh for occipital alpha 2 and beta 1 and for frontal delta sub-band. ROC curve supported that alpha band spectA was more sensitive than coherence to differentiate controls from AD.- Chronic Traumatic Encephalopathy Presenting as Alzheimer's Disease in a Retired Soccer Player(2016) GRINBERG, Lea T.; ANGHINAH, Renato; NASCIMENTO, Camila Fernandes; AMARO JR., Edson; LEITE, Renata P.; MARTIN, Maria da Graca M.; NASLAVSKY, Michel S.; TAKADA, Leonel T.; JACOB FILHO, Wilson; PASQUALUCCI, Carlos A.; NITRINI, RicardoThe relationship between soccer and chronic traumatic encephalopathy (CTE) is not well established. We report clinicopathological correlations in an 83-year-old retired center-back soccer player, with no history of concussion, manifesting typical Alzheimer-type dementia. Examination revealed mixed pathology including widespread CTE, moderate Alzheimer's disease, hippocampal sclerosis, and TDP-43 proteinopathy. This case adds to a few CTE cases described in soccer players. Furthermore, it corroborates that CTE may present clinically as typical Alzheimer-type dementia. Further studies investigating the extent to which soccer is a risk for CTE are needed.
conferenceObject Recurrent visits to the Emergency Department (ED) due to Headache: economic burden and epidemiological profile(2019) SOUZA, Marcio Nattan P.; CALDERARO, Marcelo; OLIVEIRA, Ana Paula D. S.; KUBOTA, Gabriel T.; ZAMBON, Lucas S.; ANGHINAH, Renato; JORDAO, Mauricio R.- Individual versus task differences in slow potential generators(2021) BASILE, Luis F. H.; SATO, Joao R.; PASQUINI, Henrique A.; VELASQUES, Bruna; RIBEIRO, Pedro; ANGHINAH, RenatoAverage slow potentials (SPs) can be computed from any voluntary task, minimally involving attention to anticipated stimuli. Their topography when recorded by large electrode arrays even during simple tasks is complex, multifocal, and its generators appear to be equally multifocal and highly variable across subjects. Various sources of noise of course contaminate such averages and must contribute to the topographic complexity. Here, we report a study in which the non-averaged SP band (0 to 1 Hz) was analyzed by independent components (ICA), from 256 channel recordings of 18 subjects, during four task conditions (resting, visual attention, CPT, and Stroop). We intended to verify whether the replicable SP generators (between two separate day sessions) modeled as current density reconstruction on structural MRI sets were individual-specific, and if putative task-related differences were systematic across subjects. Typically, 3 ICA components (out of 10) explained SPs in each task and subject, and their combined generators were highly variable across subjects: although some occipito-temporal and medial temporal areas contained generators in most subjects; the overall patterns were obviously variable, with no single area common to all 18 subjects. Linear regression modeling to compare combined generators (from all ICA components) between tasks and sessions showed significantly higher correlations between the four tasks than between sessions for each task. Moreover, it was clear that no common task-specific areas could be seen across subjects. Those results represent one more instance in which individual case analyses favor the hypothesis of individual-specific patterns of cortical activity, regardless of task conditions. We discuss this hypothesis with respect to results from the beta band, from individual-case fMRI studies, and its corroboration by functional neurosurgery and the neuropsychology of focal lesions.
- Integrative parietal cortex processes: Neurological and psychiatric aspects(2014) TEIXEIRA, Silmar; MACHADO, Sergio; VELASQUES, Bruna; SANFIM, Antonio; MINC, Daniel; PERESSUTTI, Caroline; BITTENCOURT, Juliana; BUDDE, Henning; CAGY, Mauricio; ANGHINAH, Renato; BASILE, Luis F.; PIEDADE, Roberto; RIBEIRO, Pedro; DINIZ, Claudia; CARTIER, Consuelo; GONGORA, Mariana; SILVA, Farmy; MANAIA, Femanda; SILVA, Julio GuilhermeFor many decades the parietal cortex (PC) has been considered the key area in tasks which involve the integration of different stimuli. PC is fundamental to determine spatial sense, information navigation and integration, and is involved in several aspects of the complex motor repertoire and in neurological and psychiatric disorders. In this review, we focus on seven different aspects of PC: (i) neuroanatomy of the parietal cortex; (ii) sensory motor integration processes; iii) hand movement control: reaching, grasping, and pointing; (iv) saccadic eye movements; (v) movement observation; (vi) neurological aspects: ataxia, autism and Parkinson's disease; and (vii) psychiatric aspects: schizophrenia, bipolar disorder and depression. Among these, we related the perspectives which involve the functions of the parietal cortex and mirror neurons and that seem to play a fundamental role in action prediction, planning, observation and execution. Furthermore, we focused on the relationship between posterior parietal cortex (PPC) and hand-guided movements. For this review, we conducted an academic paper search which fulfilled the objective of the study. We conclude that the PC has great participation in different motor functions and neurological/psychiatric disorders.
- 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.