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Dive into the research topics where Carlos Alberto Buchpiguel is active.

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Featured researches published by Carlos Alberto Buchpiguel.


Biological Psychiatry | 2005

Regional gray matter abnormalities in obsessive-compulsive disorder: a voxel-based morphometry study.

Antonio Augusto Valente; Euripedes C. Miguel; Cláudio Campi de Castro; Edson Amaro; Fábio L.S. Duran; Carlos Alberto Buchpiguel; Xavier Chitnis; Philip McGuire; Geraldo F. Busatto

BACKGROUND Several structural magnetic resonance imaging (MRI) studies have investigated the presence of brain abnormalities in obsessive-compulsive disorder (OCD) but have not produced consistent findings. This might be partly related to their use of a regions-of-interest approach. We assessed gray matter volumes in 19 OCD subjects and 15 healthy volunteers, using voxel-based morphometry (VBM). METHODS Images were acquired with a 1.5-T MRI scanner, spatially normalized, and segmented with optimized VBM. Statistical comparisons were performed with the general linear model. RESULTS Significant findings were detected in regions predicted a priori to be implicated in OCD, including increased gray matter in OCD subjects relative to control subjects in posterior orbitofrontal and parahippocampal regions; decreased gray matter in OCD patients in the left anterior cingulate cortex; and inverse correlations between obsessive-compulsive symptom severity and gray matter in the medial thalamus (p < .001, uncorrected for multiple comparisons). Also, an unpredicted site of gray matter reduction in OCD patients in the right parietal associative cortex approached significance (p = .052, corrected for multiple comparisons). CONCLUSIONS Our findings are consistent with previous studies implicating dysfunction of orbitofrontal, cingulate, thalamic, and temporolimbic regions in OCD and suggest that the involvement of the parietal cortex in the pathophysiology of OCD warrants further investigation.


Psychiatry Research-neuroimaging | 2000

A voxel-based investigation of regional cerebral blood flow abnormalities in obsessive–compulsive disorder using single photon emission computed tomography (SPECT)

Geraldo F. Busatto; Denis Roberto Zamignani; Carlos Alberto Buchpiguel; Griselda J. Garrido; Michael F. Glabus; Euclides Timóteo da Rocha; Alex F. Maia; Maria C. Rosario-Campos; Cláudio Campi de Castro; Sergio Shiguemi Furuie; Marco Antonio Gutierrez; Philip McGuire; Euripedes C. Miguel

Several functional imaging studies have reported abnormalities of the orbitofrontal and anterior cingulate cortices, striatum and thalamus in obsessive-compulsive disorder (OCD). These studies have often been limited by small patient samples and image analysis methods that rely on region-of-interest (ROI) approaches. We have assessed resting regional cerebral blood flow with 99mTc-ECD SPECT in 26 unmedicated OCD patients and 22 healthy control subjects using the voxel-based Statistical Parametric Mapping method for data analysis. We found a significantly reduced ECD uptake in OCD patients relative to the control subjects in the right lateral orbitofrontal cortex, and in the left dorsal anterior cingulate cortex (P<0.001 two-tailed, uncorrected for multiple comparisons). There were significant positive correlations in the OCD group between the ECD uptake in the left lateral orbitofrontal cortex and ratings for obsessive-compulsive symptoms (OCS), and between the ECD uptake in the right medial orbitofrontal cortex and the ratings for both OCS and depressive symptoms. There were also unpredicted significant ECD uptake increases in the cerebellum in OCD patients, as well as a negative correlation between posterior cingulate ECD uptake and OCS severity (P<0.05, corrected for multiple testing). These results implicate specific subregions of the orbitofrontal and anterior cingulate cortices in the pathophysiology of OCD, as well as suggesting the involvement of other areas not usually included in ROI-based imaging studies. With the incorporation of voxel-based methods and the use of large patient samples, rCBF-SPECT studies may continue to provide valuable information about the functional anatomy of OCD.


International Psychogeriatrics | 2002

Volumetric MRI measurements can differentiate Alzheimer's disease, mild cognitive impairment, and normal aging.

Cássio M.C. Bottino; Cláudio Campi de Castro; Regina Lucia Elia Gomes; Carlos Alberto Buchpiguel; Renato Luiz Marchetti; Mário Rodrigues Louzä Neto

BACKGROUND Volumetric magnetic resonance imaging (MRI) has been extensively studied in the last decade as a method to help with the clinical diagnosis of Alzheimers disease (AD). In recent years, researchers have also started investigating if that technique would be useful to identify individuals with mild cognitive impairment (MCI), differentiating them from AD patients and from normal elderly controls. This research project was planned to assess the accuracy of volumetric MRI to differentiate those groups of individuals. METHOD The investigation involved 39 patients with diagnosis of mild to moderate dementia in AD, according to the criteria of the NINCDS-ADRDA, DSM-III-R, and ICD-10; 21 subjects with complaints of cognitive decline without other psychiatric disorders (MCI); and 20 normal elderly controls. All the subjects were submitted to a standard protocol, including volumetric MRI evaluations. RESULTS The results indicated that all regions of interest measured (amygdala, hippocampus, and parahippocampal gyrus) were significantly different (p < .005) in AD patients compared to MCI subjects and controls. The left volumetric measures (amygdala, hippocampus, and parahippocampal gyrus) were also significantly different between the MCI subjects and controls (p < .05). The discriminant function analysis correctly classified 88.14% of the AD patients and controls, 81.67% of AD patients and MCI subjects, and 80.49% of the MCI subjects and controls. CONCLUSIONS The results suggest that measures of medial temporal lobe regions are useful to identify mild to moderate AD patients and MCI subjects, separating them from normal elderly individuals.


Journal of the American Academy of Child and Adolescent Psychiatry | 2001

Regional Cerebral Blood Flow Abnormalities in Early-Onset Obsessive-Compulsive Disorder: An Exploratory SPECT Study

Geraldo F. Busatto; Carlos Alberto Buchpiguel; Denis Roberto Zamignani; Griselda J. Garrido; Michael F. Glabus; Maria Conceição do Rosario-Campos; Cláudio Campi de Castro; Alex F. Maia; Euclides Timóteo da Rocha; Philip McGuire; Euripedes C. Miguel

OBJECTIVE Recent epidemiological and clinical data suggest that obsessive-compulsive disorder (OCD) may be subtyped according the age of onset of obsessive-compulsive symptoms. The regional cerebral blood flow (rCBF) single photon emission computed tomography (SPECT) technique was used to investigate whether the pathophysiology of OCD differs between early- and late-onset OCD subjects. METHOD Resting rCBF was measured in 13 early-onset (<10 years) and 13 late-onset (>12 years) adult OCD subjects and in 22 healthy controls. Voxel-based rCBF comparisons were performed with statistical parametric mapping. RESULTS Early-onset OCD cases showed decreased rCBF in the right thalamus, left anterior cingulate cortex, and bilateral inferior prefrontal cortex relative to late-onset subjects (p < .0005, uncorrected for multiple comparisons). Relative to controls, early-onset cases had decreased left anterior cingulate and right orbitofrontal rCBF, and increased rCBF in the right cerebellum, whereas late-onset subjects showed reduced right orbitofrontal rCBF and increased rCBF in the left precuneus. In early-onset subjects only, severity of obsessive-compulsive symptoms correlated positively with left orbitofrontal rCBF. CONCLUSIONS rCBF differences in frontal-subcortical circuits between early-onset and late-onset OCD subjects were found, both in location and direction of changes. These results provide preliminary evidence that brain mechanisms in OCD may differ depending on the age at which symptoms are first expressed.


Clinical Endocrinology | 2004

Administration of a single dose of recombinant human thyrotrophin enhances the efficacy of radioiodine treatment of large compressive multinodular goitres

Marcia N.C. Silva; Ileana G.S. Rubio; Rossana Romão; Eloisa S. Gebrin; Carlos Alberto Buchpiguel; Eduardo Tomimori; Rosalinda Camargo; Maria Silvia Cardia; Geraldo Medeiros-Neto

objective  Patients with very large multinodular goitres, frequently found among elderly people, often suffering from cardiovascular or other disabling disorders, may be considered as unsuitable for surgery. We have evaluated the feasibility of relatively high‐dose 131I therapy in such patients. As subclinical or clinical hyperthyroidism is commonly found in these patients, associated with a low radioiodine (RAI) uptake at 24 h, we pretreated a group of patients with a single intramuscular injection of recombinant human TSH (rhTSH 0·45 mg) in order to increase the uptake of the therapeutic dose of RAI.


Cancer | 2012

Accuracy of positron emission tomography/computed tomography and clinical assessment in the detection of complete rectal tumor regression after neoadjuvant chemoradiation Long-Term Results of a Prospective Trial (National Clinical Trial 00254683)

Rodrigo Oliva Perez; Angelita Habr-Gama; Joaquim Gama-Rodrigues; Igor Proscurshim; Guilherme Pagin São Julião; Patricio B. Lynn; Carla Rachel Ono; Fábio Guilherme Campos; Afonso Henrique da Silva e Sousa; Antonio Rocco Imperiale; Sergio Carlos Nahas; Carlos Alberto Buchpiguel

Neoadjuvant chemoradiation (CRT) therapy may result in significant tumor regression in patients with rectal cancer. Patients who develop complete tumor regression have been managed by treatment strategies that are alternatives to standard total mesorectal excision. Therefore, assessment of tumor response with positron emission tomography/computed tomography (PET/CT) after neoadjuvant treatment may offer relevant information for the selection of patients to receive alternative treatment strategies.


Journal of Neurology, Neurosurgery, and Psychiatry | 2002

Relation between medial temporal atrophy and functional brain activity during memory processing in Alzheimer’s disease: a combined MRI and SPECT study

Griselda J. Garrido; Sergio Shiguemi Furuie; Carlos Alberto Buchpiguel; Cássio M.C. Bottino; Osvaldo P. Almeida; Carla G. Cid; Cândida H. P. Camargo; Cláudio Campi de Castro; M F Glabus; Geraldo F. Busatto

Objective: To investigate the relation between atrophy of the hippocampal region and brain functional patterns during episodic memory processing in Alzheimer’s disease. Patients and methods: Whole brain structural magnetic resonance imaging (MRI) data and single photon emission computed tomography (SPECT) measures of regional cerebral blood flow (rCBF) were obtained during a verbal recognition memory task in nine subjects with mild Alzheimer’s disease and 10 elderly healthy controls. Using the statistical parametric mapping approach, voxel based comparisons were made on the MRI data to identify clusters of significantly reduced grey matter concentrations in the hippocampal region in the Alzheimer patients relative to the controls. The mean grey matter density in the voxel cluster of greatest hippocampal atrophy was extracted for each Alzheimer subject. This measure was used to investigate, on a voxel by voxel basis, the presence of significant correlations between the degree of hippocampal atrophy and the rCBF SPECT measures obtained during the memory task. Results: Direct correlations were detected between the hippocampal grey matter density and rCBF values in voxel clusters located bilaterally in the temporal neocortex, in the left medial temporal region, and in the left posterior cingulate cortex during the memory task in the Alzheimer’s disease group (p < 0.001). Conversely, measures of hippocampal atrophy were negatively correlated with rCBF values in voxel clusters located in the frontal lobes, involving the right and left inferior frontal gyri and the insula (p < 0.001). Conclusions: Hippocampal atrophic changes in Alzheimer’s disease are associated with reduced functional activity in limbic and associative temporal regions during episodic memory processing, but with increased activity in frontal areas, possibly on a compensatory basis.


Neuroscience Letters | 2005

Relationship between regional cerebral blood flow and separate symptom clusters of major depression: A single photon emission computed tomography study using statistical parametric mapping

Cintia Azevedo Marques Périco; Cesar R. Skaf; Airton Yamada; Fábio L.S. Duran; Carlos Alberto Buchpiguel; Cláudio Campi de Castro; Jair C. Soares; Geraldo F. Busatto

This study examined the relationship between resting regional cerebral blood flow (rCBF) patterns in patients with major depressive disorder (MDD) and specific symptom clusters derived from ratings on the Hamilton Rating Scale for Depression (HRSD) and the Mini Mental State Examination. We hypothesized that the functional activity in frontal, parietal, anterior cingulate, basal ganglia and limbic regions would be related to specific symptom domains. Fifteen patients fulfilling DSM-IV criteria for MDD who were off all psychotropic medications for >4 weeks and 15 normal volunteers were recruited. Single photon emission computed tomography (SPECT) images were obtained after (99m)Tc-ECD injection, and correlations between rCBF patterns and symptom severity ratings were calculated on a voxel-by-voxel basis, using statistical parametric mapping (SPM). Severity of depressive mood was inversely correlated with rCBF in the left amygdala, lentiform nucleus, and parahippocampal gyrus, and directly correlated with rCBF in the right postero-lateral parietal cortex (p < 0.001, uncorrected for multiple comparisons). Insomnia severity was inversely correlated with rCBF in the right rostral and subgenual anterior cingulate cortices, insula and claustrum. Anxiety severity was directly correlated with rCBF in the right antero-lateral orbitofrontal cortex, while cognitive performance was directly correlated with rCBF in the right postero-medial orbitofrontal cortex and in the left lentiform nucleus. Our findings confirmed the prediction that separate symptom domains of the MDD syndrome are related to specific rCBF patterns, and extend results from prior studies that suggested the involvement of anterior cingulate, frontal, limbic and basal ganglia regions in the pathophysiology of MDD.


Epilepsia | 2005

Hyperventilation Revisited: Physiological Effects and Efficacy on Focal Seizure Activation in the Era of Video‐EEG Monitoring

Mirian Salvadori Bittar Guaranha; Eliana Garzon; Carlos Alberto Buchpiguel; Sergio Tazima; Elza Márcia Targas Yacubian; Américo C. Sakamoto

Summary:  Purpose: Hyperventilation is an activation method that provokes physiological slowing of brain rhythms, interictal discharges, and seizures, especially in generalized idiopathic epilepsies. In this study we assessed its effectiveness in inducing focal seizures during video‐EEG monitoring.


Journal of Alzheimer's Disease | 2010

Use of SVM Methods with Surface-Based Cortical and Volumetric Subcortical Measurements to Detect Alzheimer's Disease

Pedro Paulo de Magalhães Oliveira Jr.; Ricardo Nitrini; Geraldo F. Busatto; Carlos Alberto Buchpiguel; João Ricardo Sato; Edson Amaro

Here, we examine morphological changes in cortical thickness of patients with Alzheimers disease (AD) using image analysis algorithms for brain structure segmentation and study automatic classification of AD patients using cortical and volumetric data. Cortical thickness of AD patients (n=14) was measured using MRI cortical surface-based analysis and compared with healthy subjects (n=20). Data was analyzed using an automated algorithm for tissue segmentation and classification. A Support Vector Machine (SVM) was applied over the volumetric measurements of subcortical and cortical structures to separate AD patients from controls. The group analysis showed cortical thickness reduction in the superior temporal lobe, parahippocampal gyrus, and enthorhinal cortex in both hemispheres. We also found cortical thinning in the isthmus of cingulate gyrus and middle temporal gyrus at the right hemisphere, as well as a reduction of the cortical mantle in areas previously shown to be associated with AD. We also confirmed that automatic classification algorithms (SVM) could be helpful to distinguish AD patients from healthy controls. Moreover, the same areas implicated in the pathogenesis of AD were the main parameters driving the classification algorithm. While the patient sample used in this study was relatively small, we expect that using a database of regional volumes derived from MRI scans of a large number of subjects will increase the SVM power of AD patient identification.

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