RENATO ANGHINAH

(Fonte: Lattes)
Índice h a partir de 2011
19
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

Resultados de Busca

Agora exibindo 1 - 10 de 15
  • 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, Renato
    Existing 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.
  • article 38 Citação(ões) na Scopus
    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 de
    Oral 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 52 Citação(ões) na Scopus
    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 Guilherme
    For 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.
  • article 1 Citação(ões) na Scopus
  • conferenceObject
    CORRELATION BETWEEN CHANGES IN GREY AND WHITE MATTER RADIODENSITY WITH PROGNOSIS AFTER CRANIOPLASTY
    (2014) OLIVEIRA, Arthur Maynart Pereira; AMORIM, Robson Luis Oliveira de; PAIVA, Wellingson Silva; ANDRADE, Almir Ferreira de; PASCHOAL JUNIOR, Fernando Mendes; BOR-SENG-SHU, Edson; COELHO, Fernanda; GATTAS, Gabriel Scarabotolo; ANGHINAH, Renato; TEIXEIRA, Manoel Jacobsen
  • article 20 Citação(ões) na Scopus
    Clinician's Road Map to Wavelet EEG as an Alzheimer's disease Biomarker
    (2014) KANDA, Paulo Afonso Medeiros; TRAMBAIOLLI, Lucas R.; LORENA, Ana C.; FRAGA, Francisco J.; BASILE, Luis Fernando I.; NITRINI, Ricardo; ANGHINAH, Renato
    Alzheimer's disease (AD) is considered the main cause of dementia in Western countries. Consequently, there is a need for an accurate, universal, specific and cost-effective biomarker for early AD diagnosis, to follow disease progression and therapy response. This article describes a new diagnostic approach to quantitative electroencephalogram (QEEG) diagnosis of mild and moderate AD. The data set used in this study was composed of EEG signals recorded from 2 groups: (S1) 74 normal subjects, 33 females and 41 males (mean age 67 years, standard deviation = 8) and (S2) 88 probable AD patients (NINCDS-ADRDA criteria), 55 females and 33 males (mean age 74.7 years, standard deviation = 7.8) with mild to moderate symptoms (DSM-IV-TR). Attention is given to sample size and the use of state of the art open source tools (LetsWave and WEKA) to process the EEG data. This innovative technique consists in associating Morlet wavelet filter with a support vector machine technique. A total of 111 EEG features (attributes) were obtained for 162 probands. The results were accuracy of 92.72% and area under the curve of 0.92 (percentage split test). Most important, comparing a single patient versus the total data set resulted in accuracy of 84.56% (leave-one-patient-out test). Particular emphasis was on clinical diagnosis and feasibility of implementation of this low-cost procedure, because programming knowledge is not required. Consequently, this new method can be useful to support AD diagnosis in resource-limited settings.
  • article 1 Citação(ões) na Scopus
    EEG amplitude modulation analysis for semi-automated diagnosis of Alzheimer's disease (vol 2012, 192, 2012)
    (2014) FALK, Tiago H.; FRAGA, Francisco J.; TRAMBAIOLLI, Lucas; ANGHINAH, Renato
  • conferenceObject
    MORPHOLOGICAL CHANGES ON CORTICAL SURFACE AND THEIR CORRELATION OF WITH NEUROLOGICAL OUTCOME IN PATIENTS WITH BONE DEFECTS AFTER DECOMPRESSIVE CRANIECTOMY
    (2014) OLIVEIRA, Arthur Maynart Pereira; AMORIM, Robson Luis Oliveira de; PAIVA, Wellingson Silva; ANDRADE, Almir Ferreira de; PASCHOAL JUNIOR, Fernando Mendes; BOR-SENG-SHU, Edson; COELHO, Fernanda; GATTAS, Gabriel Scarabotolo; ANGHINAH, Renato; TEIXEIRA, Manoel Jacobsen
  • conferenceObject
    WHAT CAN WE REALLY EXPECT OF CEREBRAL BLOOD FLOW AFTER CRANIOPLASTY?
    (2014) OLIVEIRA, Arthur Maynart Pereira; AMORIM, Robson Luis Oliveira de; PAIVA, Wellingson Silva; ANDRADE, Almir Ferreira de; PASCHOAL JUNIOR, Fernando Mendes; BOR-SENG-SHU, Edson; COELHO, Fernanda; GATTAS, Gabriel Scarabotolo; ANGHINAH, Renato; TEIXEIRA, Manoel Jacobsen
  • article 55 Citação(ões) na Scopus
    Oral Infections and Orofacial Pain in Alzheimer's Disease: A Case-Control Study
    (2014) ROLIM, Thais de Souza; FABRI, Gisele Maria Campos; NITRINI, Ricardo; ANGHINAH, Renato; TEIXEIRA, Manoel Jacobsen; SIQUEIRA, Jose Tadeu T. de; CESTARI, Jose Augusto Ferrari; SIQUEIRA, Silvia Regina Dowgan T. de
    Background: Dental infections are frequent and have recently been implicated as a possible risk factor for Alzheimer's disease (AD). Despite a lack of studies investigating orofacial pain in this patient group, dental conditions are known to be a potential cause of pain and to affect quality of life and disease progression. Objectives: To evaluate oral status, mandibular function and orofacial pain in patients with mild AD versus healthy subjects matched for age and gender. Methods: Twenty-nine patients and 30 control subjects were evaluated. The protocol comprised a clinical questionnaire and dental exam, research diagnostic criteria for temporomandibular disorders, the McGill Pain Questionnaire, the decayed, missing, and filled teeth index, and included a full periodontal evaluation. AD signs and symptoms as well as associated factors were evaluated by a trained neurologist. Results: A higher prevalence of orofacial pain (20.7%, p < 0.001), articular abnormalities in temporomandibular joints (p < 0.05), and periodontal infections (p = 0.002) was observed in the study group compared to the control group. Conclusion: Orofacial pain and periodontal infections were more frequent in patients with mild AD than in healthy subjects. Orofacial pain screening and dental and oral exams should be routinely performed in AD patients in order to identify pathological conditions that need treatment thus improving quality of life compromised due to dementia.