JOAO RICARDO SATO
Projetos de Pesquisa
Unidades Organizacionais
LIM/44 - Laboratório de Ressonância Magnética em Neurorradiologia, Hospital das Clínicas, Faculdade de Medicina
41 resultados
Resultados de Busca
Agora exibindo 1 - 10 de 41
- An integrative approach to investigate the respective roles of single-nucleotide variants and copy-number variants in Attention-Deficit/Hyperactivity Disorder(2016) LIMA, Leandro de Araujo; FEIO-DOS-SANTOS, Ana Cecilia; BELANGERO, Sintia Iole; GADELHA, Ary; BRESSAN, Rodrigo Affonseca; SALUM, Giovanni Abrahao; PAN, Pedro Mario; MORIYAMA, Tais Silveira; GRAEFF-MARTINS, Ana Soledade; TAMANAHA, Ana Carina; ALVARENGA, Pedro; KRIEGER, Fernanda Valle; FLEITLICH-BILYK, Bacy; JACKOWSKI, Andrea Parolin; BRIETZKE, Elisa; SATO, Joao Ricardo; POLANCZYK, Guilherme Vanoni; MARI, Jair de Jesus; MANFRO, Gisele Gus; ROSARIO, Maria Conceicao do; MIGUEL, Euripedes Constantino; PUGA, Renato David; TAHIRA, Ana Carolina; SOUZA, Viviane Neri; CHILE, Thais; GOUVEIA, Gisele Rodrigues; SIMOES, Sergio Nery; CHANG, Xiao; PELLEGRINO, Renata; TIAN, Lifeng; GLESSNER, Joseph T.; HASHIMOTO, Ronaldo Fumio; ROHDE, Luis Augusto; SLEIMAN, Patrick M. A.; HAKONARSON, Hakon; BRENTANI, HelenaMany studies have attempted to investigate the genetic susceptibility of Attention-Deficit/Hyperactivity Disorder (ADHD), but without much success. The present study aimed to analyze both single-nucleotide and copy-number variants contributing to the genetic architecture of ADHD. We generated exome data from 30 Brazilian trios with sporadic ADHD. We also analyzed a Brazilian sample of 503 children/adolescent controls from a High Risk Cohort Study for the Development of Childhood Psychiatric Disorders, and also previously published results of five CNV studies and one GWAS meta-analysis of ADHD involving children/adolescents. The results from the Brazilian trios showed that cases with de novo SNVs tend not to have de novo CNVs and vice-versa. Although the sample size is small, we could also see that various comorbidities are more frequent in cases with only inherited variants. Moreover, using only genes expressed in brain, we constructed two ""in silico"" protein-protein interaction networks, one with genes from any analysis, and other with genes with hits in two analyses. Topological and functional analyses of genes in this network uncovered genes related to synapse, cell adhesion, glutamatergic and serotoninergic pathways, both confirming findings of previous studies and capturing new genes and genetic variants in these pathways.
conferenceObject Treatment Response Prediction in Pediatric Patients With OCD Using Structural Neuroimaging Correlates: Simple Linear Regression Versus Support Vector Regression(2017) VATTIMO, Edoardo; BARROS, Vivian; BATISTUZZO, Marcelo; REQUENA, Guaraci; SATO, Joao; FATORI, Daniel; SHAVITT, Roseli; MIGUEL, Euripedes; HOEXTER, Marcelo- Stroke lesion in cortical neural circuits and post-stroke incidence of major depressive episode: A 4-month prospective study(2011) TERRONI, Luisa; AMARO JR., Edson; IOSIFESCU, Dan V.; TINONE, Gisela; SATO, Joao Ricardo; LEITE, Claudia Costa; SOBREIRO, Matildes F. M.; LUCIA, Mara Cristina Souza; SCAFF, Milberto; FRAGUAS, RenerioObjective. Little is known about the relevance of lesion in neural circuits reported to be associated with major depressive disorder. We investigated the association between lesion stroke size in the limbic-cortical-striatal-pallidal-thalamic (LCSPT) circuit and incidence of major depressive episode (MDE). Methods. We enrolled 68 patients with first-ever ischemic stroke and no history of major depressive disorder. Neurological and psychiatric examinations were performed at three time-points. We diagnosed major depressive episode, following DSM-IV criteria. Lesion location and volume were determined with magnetic resonance imaging, using a semi-automated method based on the Brodmann Cytoarchitectonic Atlas. Results. Twenty-one patients (31%) experienced major depressive episode. Larger lesions in the left cortical regions of the LCSPT circuit (3,760 vs. 660 mm(3); P = 0.004) were associated with higher incidence of MDE. Secondary analyses revealed that major depressive episode was associated with larger lesions in areas of the medial prefrontal cortex including the ventral (BA24) and dorsal anterior cingulate cortex (BA32) and subgenual cortex (BA25); and also the subiculum (BA28/36) and amygdala (BA34). Conclusions Our findings indicate that depression due to stroke is aetiologically related to the disruption of the left LCSPT circuit and support the relevance of the medial prefrontal cortex dysfunction in the pathophysiology of depression.
- Distinct Subcortical Volume Alterations in Pediatric and Adult OCD: A Worldwide Meta-and Mega-Analysis (vol , pg , 2016)(2017) ABE, Yoshinari; ALONSO, Pino; AMEIS, Stephanie H.; ARNOLD, Paul D.; BARGALLO, Nuria; BATISTUZZO, Marcelo C.; BENEDETTI, Francesco; BEUCKE, Jan C.; BOEDHOE, Premika S. W.; BOLLETTINI, Irene; BOSE, Anushree; BREM, Silvia; BUSATTO, Geraldo F.; CALVO, Anna; CALVO, Rosa; CATH, Danielle C.; CHENG, Yuqi; CHO, Kang Ik K.; DALLASPEZIA, Sara; VRIES, Froukje E. de; WIT, Stella J. de; DENYS, Damiaan; FANG, Yu; FITZGERALD, Kate D.; FONTAINE, Martine; FOUCHE, Jean-Paul; GIMENEZ, Monica; GRUNER, Patricia; HANNA, Gregory L.; HIBAR, Derrek P.; HOEXTER, Marcelo Q.; HU, Hao; HUYSER, Chaim; IKARI, Keisuke; JAHANSHAD, Neda; KATHMANN, Norbert; KAUFMANN, Christian; KHADKA, Sabin; KOCH, Kathrin; KWON, Jun Soo; LAZARO, Luisa; LIU, Yanni; LOCHNER, Christine; MARSH, Rachel; MARTINEZ-ZALACAIN, Ignacio; MATAIX-COLS, David; MENCHON, Jose M.; MIGUEL, Euripedes C.; MINUZZI, Luciano; MORER, Astrid; NAKAMAE, Takashi; NAKAO, Tomohiro; NARAYANASWAMY, Janardhanan C.; PIRAS, Fabrizio; PIRAS, Federica; PITTENGER, Christopher; REDDY, Y. C. Janardhan; SATO, Joao R.; SIMPSON, H. Blair; SCHMAAL, Lianne; SORENI, Noam; SORIANO-MAS, Carles; SPALLETTA, Gianfranco; STEIN, Dan J.; STEVENS, Michael C.; SZESZKO, Philip R.; THOMPSON, Paul M.; TOLIN, David F.; VELTMAN, Dick J.; VENKATASUBRAMANIAN, Ganesan; HEUVEL, Odile A. van den; WERF, Ysbrand D. van der; WINGEN, Guido A. van; WALITZA, Susanne; WANG, Zhen; XU, Jian; XU, Xiufeng; YUN, Je-Yeon; ZHAO, Qing
- Associations between children's family environment, spontaneous brain oscillations, and emotional and behavioral problems(2019) SATO, Joao Ricardo; JR, Claudinei Eduardo Biazoli; SALUM, Giovanni Abrahao; GADELHA, Ary; CROSSLEY, Nicolas; VIEIRA, Gilson; ZUGMAN, Andre; PICON, Felipe Almeida; PAN, Pedro Mario; HOEXTER, Marcelo Queiroz; JR, Edson Amaro; ANES, Mauricio; MOURA, Luciana Monteiro; DEL'AQUILLA, Marco Antonio Gomes; MCGUIRE, Philip; ROHDEZ, Luis Augusto; MIGUEL, Euripedes Constantino; BRESSAN, Rodrigo Affonseca; JACKOWSKI, Andrea ParolinThe family environment in childhood has a strong effect on mental health outcomes throughout life. This effect is thought to depend at least in part on modifications of neurodevelopment trajectories. In this exploratory study, we sought to investigate whether a feasible resting-state fMRI metric of local spontaneous oscillatory neural activity, the fractional amplitude of low-frequency fluctuations (fALFF), is associated with the levels of children's family coherence and conflict. Moreover, we sought to further explore whether spontaneous activity in the brain areas influenced by family environment would also be associated with a mental health outcome, namely the incidence of behavioral and emotional problems. Resting-state fMRI data from 655 children and adolescents (6-15years old) were examined. The quality of the family environment was found to be positively correlated with fALFF in the left temporal pole and negatively correlated with fALFF in the right orbitofrontal cortex. Remarkably, increased fALFF in the temporal pole was associated with a lower incidence of behavioral and emotional problems, whereas increased fALFF in the orbitofrontal cortex was correlated with a higher incidence.
- Ventral Striatum Functional Connectivity as a Predictor of Adolescent Depressive Disorder in a Longitudinal Community-Based Sample(2017) PAN, Pedro Mario; SATO, Joao R.; SALUM, Giovanni A.; ROHDE, Luis A.; GADELHA, Ary; ZUGMAN, Andre; MARI, Jair; JACKOWSKI, Andrea; PICON, Felipe; MIGUEL, Euripedes C.; PINE, Daniel S.; LEIBENLUFT, Ellen; BRESSAN, Rodrigo A.; STRINGARIS, ArgyrisObjective: Previous studies have implicated aberrant reward processing in the pathogenesis of adolescent depression. However, no study has used functional connectivity within a distributed reward network, assessed using resting-state functional MRI (fMRI), to predict the onset of depression in adolescents. This study used reward network-based functional connectivity at baseline to predict depressive disorder at follow-up in a community sample of adolescents. Method: A total of 637 children 6-12 years old underwent resting-state fMRI. Discovery and replication analyses tested intrinsic functional connectivity (iFC) among nodes of a putative reward network. Logistic regression tested whether striatal node strength, a measure of reward-related iFC, predicted onset of a depressive disorder at 3-year follow-up. Further analyses investigated the specificity of this prediction. Results: Increased left ventral striatum node strength predicted increased risk for future depressive disorder (odds ratio=1.54, 95% CI=1.09-2.18), even after excluding participants who had depressive disorders at baseline (odds ratio=1.52, 95% CI=1.05-2.20). Among 11 reward-network nodes, only the left ventral striatum significantly predicted depression. Striatal node strength did not predict other common adolescent psychopathology, such as anxiety, attention deficit hyperactivity disorder, and substance use. Conclusions: Aberrant ventral striatum functional connectivity specifically predicts future risk for depressive disorder. This finding further emphasizes the need to understand how brain reward networks contribute to youth depression.
- Multicenter Voxel-Based Morphometry Mega-Analysis of Structural Brain Scans in Obsessive-Compulsive Disorder(2014) WIT, Stella J. de; ALONSO, Pino; SCHWEREN, Lizanne; MATAIX-COLS, David; LOCHNER, Christine; MENCHON, Jose M.; STEIN, Dan J.; FOUCHE, Jean-Paul; SORIANO-MAS, Caries; SATO, Joao R.; HOEXTER, Marcelo Q.; DENYS, Damiaan; NAKAMAE, Takashi; NISHIDA, Seiji; KWON, Jun Soo; JANG, Joon Hwan; BUSATTO, Geraldo F.; CARDONER, Narcis; CATH, Danielle C.; FUKUI, Kenji; JUNG, Wi Hoon; KIM, Sung Nyun; MIGUEL, Euripides C.; NARUMOTO, Jin; PHILLIPS, Mary L.; PUJOL, Jesus; REMIJNSE, Peter L.; SAKAI, Yuki; SHIN, Na Young; YAMADA, Kei; VELTMAN, Dick J.; HEUVEL, Odile A. van denObjective: Results from structural neuroimaging studies of obsessive-compulsive disorder (OCD) have been only partially consistent. The authors sought to assess regional gray and white matter volume differences between large samples of OCD patients and healthy comparison subjects and their relation with demographic and clinical variables. Method: A multicenter voxel-based morphometry mega-analysis was performed on 1.5-T str.uctural T-1-weighted MRI scans derived from the International OCD Brain Imaging Consortium. Regional gray and white matter brain volumes were compared between 412 adult OCD patients and 368 healthy subjects. Results: Relative to healthy comparison subjects, OCD patients had significantly smaller volumes of frontal gray and white matter bilaterally, including the dorsomedial prefrontal cortex, the anterior cingulate cortex, and the inferior frontal gyrus extending to the anterior insula. Patients also showed greater cerebellar gray matter volume bilaterally compared with healthy subjects. Group differences in frontal gray and white matter volume were significant after correction for multiple comparisons. Additionally, group-by-age interactions were observed in the putamen, insula, and orbitofrontal cortex (indicating relative preservation of volume in patients compared with healthy subjects with increasing age) and in the temporal cortex bilaterally (indicating a relative loss of volume in patients compared. with healthy subjects with increasing age). Conclusions: These findings partially support the prevailing fronto-striatal models of OCD and offer additional insights into the neuroanatomy of the disorder that were not apparent from previous smaller studies. The group-by-age interaction effects. in orbitofrontal-striatal and (para)limbic brain regions may be the result of altered neuroplasticity associated with chronic compulsive behaviors, anxiety, or compensatory processes related to cognitive dysfunction.
- Wavelet correlation between subjects: A time-scale data driven analysis for brain mapping using fMRI(2011) LESSA, Patricia S.; SATO, Joao R.; CARDOSO, Elisson F.; NETO, Carlos G.; VALADARES, Ana Paula; AMARO JR., EdsonFunctional magnetic resonance imaging (fMRI) based on BOLD signal has been used to indirectly measure the local neural activity induced by cognitive tasks or stimulation. Most fMRI data analysis is carried out using the general linear model (GLM), a statistical approach which predicts the changes in the observed BOLD response based on an expected hemodynamic response function (HRF). In cases when the task is cognitively complex or in cases of diseases, variations in shape and/or delay may reduce the reliability of results. A novel exploratory method using fMRI data, which attempts to discriminate between neurophysiological signals induced by the stimulation protocol from artifacts or other confounding factors, is introduced in this paper. This new method is based on the fusion between correlation analysis and the discrete wavelet transform, to identify similarities in the time course of the BOLD signal in a group of volunteers. We illustrate the usefulness of this approach by analyzing fMRI data from normal subjects presented with standardized human face pictures expressing different degrees of sadness. The results show that the proposed wavelet correlation analysis has greater statistical power than conventional GLM or time domain intersubject correlation analysis.
- Abnormal Functional Resting-State Networks in ADHD: Graph Theory and Pattern Recognition Analysis of fMRI Data(2014) SIQUEIRA, Anderson dos Santos; BIAZOLI JUNIOR, Claudinei Eduardo; COMFORT, William Edgar; ROHDE, Luis Augusto; SATO, Joao RicardoThe framework of graph theory provides useful tools for investigating the neural substrates of neuropsychiatric disorders. Graph description measures may be useful as predictor variables in classification procedures. Here, we consider several centrality measures as predictor features in a classification algorithm to identify nodes of resting-state networks containing predictive information that can discriminate between typical developing children and patients with attention-deficit/hyperactivity disorder (ADHD). The prediction was based on a support vector machines classifier. The analyses were performed in a multisite and publicly available resting-state fMRI dataset of healthy children and ADHD patients: the ADHD-200 database. Network centrality measures contained little predictive information for the discrimination between ADHD patients and healthy subjects. However, the classification between inattentive and combined ADHD subtypes was more promising, achieving accuracies higher than 65% (balance between sensitivity and specificity) in some sites. Finally, brain regions were ranked according to the amount of discriminant information and the most relevant were mapped. As hypothesized, we found that brain regions in motor, frontoparietal, and default mode networks contained the most predictive information. We concluded that the functional connectivity estimations are strongly dependent on the sample characteristics. Thus different acquisition protocols and clinical heterogeneity decrease the predictive values of the graph descriptors.
- Posterior-superior insular deep transcranial magnetic stimulation alleviates peripheral neuropathic pain - A pilot double-blind, randomized cross-over study(2021) DONGYANG, Liu; FERNANDES, Ana Mercia; CUNHA, Pedro Henrique Martins da; TIBES, Raissa; SATO, Joao; LISTIK, Clarice; DALE, Camila; KUBOTA, Gabriel Taricani; GALHARDONI, Ricardo; TEIXEIRA, Manoel Jacobsen; SILVA, Valquiria Aparecida da; ROSI, Jefferson; ANDRADE, Daniel Ciampi deObjectives. - Peripheral neuropathic pain (pNeP) is prevalent, and current treatments, including drugs and motor cortex repetitive transcranial magnetic stimulation (rTMS) leave a substantial proportion of patients with suboptimal pain relief. Methods. - We explored the intensity and short-term duration of the analgesic effects produced in pNeP patients by 5 days of neuronavigated deep rTMS targeting the posterior superior insula (PSI) with a double-cone coil in a sham-controlled randomized cross-over trial. Results. - Thirty-one pNeP patients received induction series of five active or sham consecutive sessions of daily deep-rTMS to the PSI in a randomized sequence, with a washout period of at least 21 days between series. The primary outcome [number of responders (>50% pain intensity reduction from baseline in a numerical rating scale ranging from 0 to 10)] was significantly higher after real (58.1%) compared to sham (19.4%) stimulation (p = 0.002). The number needed to treat was 2.6, and the effect size was 0.97 [95% CI (0.6; 1.3)]. One week after the 5th stimulation day, pain scores were no longer different between groups, and no difference in neuropathic pain characteristics and interference with daily living were present. No major side effects occurred, and milder adverse events (i.e., short-lived headaches after stimulation) were reported in both groups. Blinding was effective, and analgesic effects were not affected by sequence of the stimulation series (active-first or sham-first), age, sex or pain duration of participants. Discussion. - PSI deep-rTMS was safe in refractory pNeP and was able to provide significant pain intensity reduction after a five-day induction series of treatments. Post-hoc assessment of neuronavigation targeting confirmed deep-rTMS was delivered within the boundaries of the PSI in all participants. Conclusion. - PSI deep-rTMS provided significant pain relief during 5-day induction sessions compared to sham stimulation.