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8 results on '"Pedro S. Moreira"'

1. Coffee consumption decreases the connectivity of the posterior Default Mode Network (DMN) at rest

Author

Maria Picó-Pérez, Ricardo Magalhães, Madalena Esteves, Rita Vieira, Teresa C. Castanho, Liliana Amorim, Mafalda Sousa, Ana Coelho, Pedro S. Moreira, Rodrigo A. Cunha, and Nuno Sousa

Subjects
coffee, resting-state, connectomics, default mode network, executive control network, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Habitual coffee consumers justify their life choices by arguing that they become more alert and increase motor and cognitive performance and efficiency; however, these subjective impressions still do not have a neurobiological correlation. Using functional connectivity approaches to study resting-state fMRI data in a group of habitual coffee drinkers, we herein show that coffee consumption decreased connectivity of the posterior default mode network (DMN) and between the somatosensory/motor networks and the prefrontal cortex, while the connectivity in nodes of the higher visual and the right executive control network (RECN) is increased after drinking coffee; data also show that caffeine intake only replicated the impact of coffee on the posterior DMN, thus disentangling the neurochemical effects of caffeine from the experience of having a coffee.

Published
2023
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2. 10Kin1day: A Bottom-Up Neuroimaging Initiative

Author

Martijn P. van den Heuvel, Lianne H. Scholtens, Hannelore K. van der Burgh, Federica Agosta, Clara Alloza, Celso Arango, Bonnie Auyeung, Simon Baron-Cohen, Silvia Basaia, Manon J. N. L. Benders, Frauke Beyer, Linda Booij, Kees P. J. Braun, Geraldo Busatto Filho, Wiepke Cahn, Dara M. Cannon, Tiffany M. Chaim-Avancini, Sandra S. M. Chan, Eric Y. H. Chen, Benedicto Crespo-Facorro, Eveline A. Crone, Udo Dannlowski, Sonja M. C. de Zwarte, Bruno Dietsche, Gary Donohoe, Stefan Du Plessis, Sarah Durston, Covadonga M. Díaz-Caneja, Ana M. Díaz-Zuluaga, Robin Emsley, Massimo Filippi, Thomas Frodl, Martin Gorges, Beata Graff, Dominik Grotegerd, Dariusz Gąsecki, Julie M. Hall, Laurena Holleran, Rosemary Holt, Helene J. Hopman, Andreas Jansen, Joost Janssen, Krzysztof Jodzio, Lutz Jäncke, Vasiliy G. Kaleda, Jan Kassubek, Shahrzad Kharabian Masouleh, Tilo Kircher, Martijn G. J. C. Koevoets, Vladimir S. Kostic, Axel Krug, Stephen M. Lawrie, Irina S. Lebedeva, Edwin H. M. Lee, Tristram A. Lett, Simon J. G. Lewis, Franziskus Liem, Michael V. Lombardo, Carlos Lopez-Jaramillo, Daniel S. Margulies, Sebastian Markett, Paulo Marques, Ignacio Martínez-Zalacaín, Colm McDonald, Andrew M. McIntosh, Genevieve McPhilemy, Susanne L. Meinert, José M. Menchón, Christian Montag, Pedro S. Moreira, Pedro Morgado, David O. Mothersill, Susan Mérillat, Hans-Peter Müller, Leila Nabulsi, Pablo Najt, Krzysztof Narkiewicz, Patrycja Naumczyk, Bob Oranje, Victor Ortiz-Garcia de la Foz, Jiska S. Peper, Julian A. Pineda, Paul E. Rasser, Ronny Redlich, Jonathan Repple, Martin Reuter, Pedro G. P. Rosa, Amber N. V. Ruigrok, Agnieszka Sabisz, Ulrich Schall, Soraya Seedat, Mauricio H. Serpa, Stavros Skouras, Carles Soriano-Mas, Nuno Sousa, Edyta Szurowska, Alexander S. Tomyshev, Diana Tordesillas-Gutierrez, Sofie L. Valk, Leonard H. van den Berg, Theo G. M. van Erp, Neeltje E. M. van Haren, Judith M. C. van Leeuwen, Arno Villringer, Christiaan H. Vinkers, Christian Vollmar, Lea Waller, Henrik Walter, Heather C. Whalley, Marta Witkowska, A. Veronica Witte, Marcus V. Zanetti, Rui Zhang, and Siemon C. de Lange

Subjects
MRI, connectome analysis, diffusion weighted MRI, brain, network, Neurology. Diseases of the nervous system, RC346-429
Abstract

We organized 10Kin1day, a pop-up scientific event with the goal to bring together neuroimaging groups from around the world to jointly analyze 10,000+ existing MRI connectivity datasets during a 3-day workshop. In this report, we describe the motivation and principles of 10Kin1day, together with a public release of 8,000+ MRI connectome maps of the human brain.

Published
2019
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3. A novel method for estimating connectivity-based parcellation of the human brain from diffusion MRI:Application to an aging cohort

Author

Ana Coelho, Ricardo Magalhães, Pedro S. Moreira, Liliana Amorim, Carlos Portugal‐Nunes, Teresa Castanho, Nadine Correia Santos, Nuno Sousa, and Henrique M. Fernandes

Subjects
Adult, brain parcellation, Aging, Brain Mapping, Radiological and Ultrasound Technology, network neuroscience, aging, Brain, Magnetic Resonance Imaging, Cohort Studies, diffusion MRI, Diffusion Magnetic Resonance Imaging, Neurology, Humans, Radiology, Nuclear Medicine and imaging, structural connectivity, Neurology (clinical), Anatomy, clustering
Abstract

Connectivity-based parcellation (CBP) methods are used to define homogenous and biologically meaningful parcels or nodes—the foundations of brain network fingerprinting—by grouping voxels with similar patterns of brain connectivity. However, we still lack a gold standard method and the use of CBPs to study the aging brain remains scarce. Our study proposes a novel CBP method from diffusion MRI data and shows its potential to produce a more accurate characterization of the longitudinal alterations in brain network topology occurring in aging. For this, we constructed whole-brain connectivity maps from diffusion MRI data of two datasets: an aging cohort evaluated at two timepoints (mean interval time: 52.8 ± 7.24 months) and a normative adult cohort—MGH-HCP. State-of-the-art clustering techniques were used to identify the best performing technique. Furthermore, we developed a new metric (connectivity homogeneity fingerprint [CHF]) to evaluate the success of the final CBP in improving regional/global structural connectivity homogeneity. Our results show that our method successfully generates highly homogeneous parcels, as described by the significantly larger CHF score of the resulting parcellation, when compared to the original. Additionally, we demonstrated that the developed parcellation provides a robust anatomical framework to assess longitudinal changes in the aging brain. Our results reveal that aging is characterized by a reorganization of the brain's structural network involving the decrease of intra-hemispheric, increase of inter-hemispheric connectivity, and topological rearrangement. Overall, this study proposes a new methodology to perform accurate and robust evaluations of CBP of the human brain.

Published
2022
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5. Mapping Cortical and Subcortical Asymmetry in Obsessive-Compulsive Disorder: Findings From the ENIGMA Consortium

Author

Xiang-Zhen Kong, Premika S.W. Boedhoe, Yoshinari Abe, Pino Alonso, Stephanie H. Ameis, Paul D. Arnold, Francesca Assogna, Justin T. Baker, Marcelo C. Batistuzzo, Francesco Benedetti, Jan C. Beucke, Irene Bollettini, Anushree Bose, Silvia Brem, Brian P. Brennan, Jan Buitelaar, Rosa Calvo, Yuqi Cheng, Kang Ik K. Cho, Sara Dallaspezia, Damiaan Denys, Benjamin A. Ely, Jamie Feusner, Kate D. Fitzgerald, Jean-Paul Fouche, Egill A. Fridgeirsson, David C. Glahn, Patricia Gruner, Deniz A. Gürsel, Tobias U. Hauser, Yoshiyuki Hirano, Marcelo Q. Hoexter, Hao Hu, Chaim Huyser, Anthony James, Fern Jaspers-Fayer, Norbert Kathmann, Christian Kaufmann, Kathrin Koch, Masaru Kuno, Gerd Kvale, Jun Soo Kwon, Luisa Lazaro, Yanni Liu, Christine Lochner, Paulo Marques, Rachel Marsh, Ignacio Martínez-Zalacaín, David Mataix-Cols, Sarah E. Medland, José M. Menchón, Luciano Minuzzi, Pedro S. Moreira, Astrid Morer, Pedro Morgado, Akiko Nakagawa, Takashi Nakamae, Tomohiro Nakao, Janardhanan C. Narayanaswamy, Erika L. Nurmi, Joseph O'Neill, Jose C. Pariente, Chris Perriello, John Piacentini, Fabrizio Piras, Federica Piras, Christopher Pittenger, Y.C. Janardhan Reddy, Oana Georgiana Rus-Oswald, Yuki Sakai, Joao R. Sato, Lianne Schmaal, H. Blair Simpson, Noam Soreni, Carles Soriano-Mas, Gianfranco Spalletta, Emily R. Stern, Michael C. Stevens, S. Evelyn Stewart, Philip R. Szeszko, David F. Tolin, Aki Tsuchiyagaito, Daan van Rooij, Guido A. van Wingen, Ganesan Venkatasubramanian, Zhen Wang, Je-Yeon Yun, Paul M. Thompson, Dan J. Stein, Odile A. van den Heuvel, Clyde Francks, Alan Anticevic, Nerisa Banaj, Nuria Bargalló, Daniel Brandeis, Geraldo F. Busatto, Anna Calvo, Valentina Ciullo, Froukje E. de Vries, Stella J. de Wit, Erin Dickie, Renate Drechsler, Madalena Esteves, Andrea Falini, Yu Fang, Martijn Figee, Martine Fontaine, Geoff Hall, Sayo Hamatani, Gregory L. Hanna, Bjarne Hansen, Keisuke Ikari, Neda Jahanshad, Ricardo Magalhães, Yasutaka Masuda, Koji Matsumoto, James T. McCracken, Euripedes C. Miguel, Jin Narumoto, Seiji Nishida, Sara Poletti, Tim Reess, Eiji Shimizu, Nuno Sousa, Jumpei Takahashi, Jinsong Tang, Anders Lillevik Thorsen, Ysbrand D. van der Werf, Dick J. Veltman, Daniela Vecchio, Susanne Walitza, Anri Watanabe, Jian Xu, Xiufeng Xu, Kei Yamada, Tokiko Yoshida, Mojtaba Zarei, Qing Zhao, Cong Zhou, ENIGMA-OCD Working Group, Adult Psychiatry, ANS - Compulsivity, Impulsivity & Attention, Graduate School, Child Psychiatry, Kong, X. -Z., Boedhoe, P. S. W., Abe, Y., Alonso, P., Ameis, S. H., Arnold, P. D., Assogna, F., Baker, J. T., Batistuzzo, M. C., Benedetti, F., Beucke, J. C., Bollettini, I., Bose, A., Brem, S., Brennan, B. P., Buitelaar, J., Calvo, R., Cheng, Y., Cho, K. I. K., Dallaspezia, S., Denys, D., Ely, B. A., Feusner, J., Fitzgerald, K. D., Fouche, J. -P., Fridgeirsson, E. A., Glahn, D. C., Gruner, P., Gursel, D. A., Hauser, T. U., Hirano, Y., Hoexter, M. Q., Hu, H., Huyser, C., James, A., Jaspers-Fayer, F., Kathmann, N., Kaufmann, C., Koch, K., Kuno, M., Kvale, G., Kwon, J. S., Lazaro, L., Liu, Y., Lochner, C., Marques, P., Marsh, R., Martinez-Zalacain, I., Mataix-Cols, D., Medland, S. E., Menchon, J. M., Minuzzi, L., Moreira, P. S., Morer, A., Morgado, P., Nakagawa, A., Nakamae, T., Nakao, T., Narayanaswamy, J. C., Nurmi, E. L., O'Neill, J., Pariente, J. C., Perriello, C., Piacentini, J., Piras, F., Pittenger, C., Reddy, Y. C. J., Rus-Oswald, O. G., Sakai, Y., Sato, J. R., Schmaal, L., Simpson, H. B., Soreni, N., Soriano-Mas, C., Spalletta, G., Stern, E. R., Stevens, M. C., Stewart, S. E., Szeszko, P. R., Tolin, D. F., Tsuchiyagaito, A., van Rooij, D., van Wingen, G. A., Venkatasubramanian, G., Wang, Z., Yun, J. -Y., Anticevic, A., Banaj, N., Bargallo, N., Brandeis, D., Busatto, G. F., Calvo, A., Ciullo, V., de Vries, F. E., de Wit, S. J., Dickie, E., Drechsler, R., Esteves, M., Falini, A., Fang, Y., Figee, M., Fontaine, M., Hall, G., Hamatani, S., Hanna, G. L., Hansen, B., Ikari, K., Jahanshad, N., Magalhaes, R., Masuda, Y., Matsumoto, K., Mccracken, J. T., Miguel, E. C., Narumoto, J., Nishida, S., Poletti, S., Reess, T., Shimizu, E., Sousa, N., Takahashi, J., Tang, J., Thorsen, A. L., van der Werf, Y. D., Veltman, D. J., Vecchio, D., Walitza, S., Watanabe, A., Xu, J., Xu, X., Yamada, K., Yoshida, T., Zarei, M., Zhao, Q., Zhou, C., Thompson, P. M., Stein, D. J., van den Heuvel, O. A., Francks, C., Netherlands Institute for Neuroscience (NIN), Universidade do Minho, Anatomy and neurosciences, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, and Psychiatry

Subjects
0301 basic medicine, Adult, medicine.medical_specialty, Obsessive-Compulsive Disorder, Mega-analysis, Mega-analysi, media_common.quotation_subject, Thalamus, Medicina Básica [Ciências Médicas], Audiology, Asymmetry, behavioral disciplines and activities, 03 medical and health sciences, 0302 clinical medicine, Neuroimaging, mental disorders, medicine, Image Processing, Computer-Assisted, Obsessive-compulsive disorder, Brain asymmetry, Humans, Child, Biological Psychiatry, Depression (differential diagnoses), media_common, Brain Mapping, Science & Technology, medicine.diagnostic_test, business.industry, Laterality, Neurosi obsessiva, Brain, Magnetic resonance imaging, Cerebral cortex, Magnetic Resonance Imaging, humanities, Escorça cerebral, 030104 developmental biology, Meta-analysis, Ciências Médicas::Medicina Básica, Pallidum, Anxiety, medicine.symptom, business, 030217 neurology & neurosurgery
Abstract

Accepted Manuscript, BACKGROUND: Lateralized dysfunction has been suggested in obsessive-compulsive disorder (OCD). However, it is currently unclear whether OCD is characterized by abnormal patterns of brain structural asymmetry. Here we carried out what is by far the largest study of brain structural asymmetry in OCD.METHODS: We studied a collection of 16 pediatric datasets (501 patients with OCD and 439 healthy control subjects), as well as 30 adult datasets (1777 patients and 1654 control subjects) from the OCD Working Group within the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) Consortium. Asymmetries of the volumes of subcortical structures, and of measures of regional cortical thickness and surface areas, were assessed based on T1-weighted magnetic resonance imaging scans, using harmonized image analysis and quality control protocols. We investigated possible alterations of brain asymmetry in patients with OCD. We also explored potential associations of asymmetry with specific aspects of the disorder and medication status.RESULTS: In the pediatric datasets, the largest case-control differences were observed for volume asymmetry of the thalamus (more leftward; Cohen's d = 0.19) and the pallidum (less leftward; d = -20.21). Additional analyses suggested putative links between these asymmetry patterns and medication status, OCD severity, or anxiety and depression comorbidities. No significant case-control differences were found in the adult datasets.CONCLUSIONS: The results suggest subtle changes of the average asymmetry of subcortical structures in pediatric OCD, which are not detectable in adults with the disorder. These findings may reflect altered neurodevelopmental processes in OCD., This research was funded by the Max Planck Society (Germany). Additional funding was from the Japan Society for the Promotion of Science (KAKENHI Grant No. 18K15523 [to YA], KAKENHI Grant No. 16K04344 [to YH], KAKENHI Grant Nos. 16K19778 and 18K07608 [to TNakam], and KAKENHI Grant No. 26461762 [to AN]); the Carlos III Health Institute (Grant No. PI14/00419 [to PA], Grant No. PI040829 cofunded by European Regional Development Fund [to LL], Grant No. FI17/00294 [to IM-Z], Grant No. PI16/00950 [to JMM], and Grant Nos. CPII16/00048, PI13/01958, and PI16/00889 cofunded by European Regional Development Funds [to CS-M]); the Ontario Mental Health Foundation (Research Training Fellowship [to SHA]); Alberta Innovates Translational Health Chair in Child and Youth Mental Health (to PDA), the Ontario Brain Institute (to PDA); the National Institute of Mental Health (Grant No. K23MH104515 [to JTB], Grant No. K23-MH092397 [to BPB], Grant No. K23MH082176 [to KDF), Grant No. R21MH101441 [to RM], Grant No. R01MH081864 [to JO and JP], and Grant No. R01MH085900 [to JO and JF], Grant No. R21MH093889 [to HBS]); Fundação de Amparo à Pesquisa do Estado de São Paulo (Grant No. 2011/21357–9 [to MCB], Grant No. 2011/21357–9 [to GFB], Grant No. 2011/21357–9 [to MQH], and Grant No. 2011/21357–9 [to ECM]); the Swiss National Science Foundation (Grant No. 320030_130237 [to SB; principal investigator, Susanne Walitza]); the Hartmann Müller Foundation (Grant No. 1460 [to SB]); the David Judah Fund at the Massachusetts General Hospital (to BPB); EU FP7 Project TACTICS (Grant No. 278948 [to JB]); the National Natural Science Foundation of China (Grant No. 81560233 [to YC] and Grant No. 81371340 [to ZW]); the International OCD Foundation (Grant No. K23 MH115206 [to PG]); the Wellcome Sir Henry Dale Fellowship (Grant No. 211155/Z/18/Z [to TUH]); the Jacobs Foundation (to TUH); the Brain and Behavior Research Foundation (2018 NARSAD Young Investigator Grant No. 27023 [to TUH]); the Agency for Medical Research and Development (Grant No. JP18dm0307002 [to YH]); the Michael Smith Foundation for Health Research (to FJ-F); the Federal Ministry of Education and Research of Germany (Grant No. BMBF-01GW0724 [to NK]); the Deutsche Forschungsgemeinschaft (Grant No. KO 3744/7–1 [to KK]); the Helse Vest Health Authority (Grant Nos. 911754 and 911880 [to GK]); the Norwegian Research Council (Grant No. HELSEFORSK 243675 [to GK]); the Marató TV3 Foundation (Grant Nos. 01/2010 and 091710 [to LL]); the Agency for Management of University and Research Grants (Grant No. 2017 SGR 881 [to LL] and 2017 SGR 1247 from the Generalitat de Catalunya [to JMM]); Fundação para a Ciência e a Tecnologia (Grant No. PDE/BDE/113604/2015 from the PhD-iHES Program [to RM], Grant No. PDE/BDE/113601/2015 from the PhD-iHES Program [to PSM]); the Japanese Ministry of Education, Culture, Sports, Science and Technology (Grant-in-Aid for Scientific Research (Grant Nos. 22591262, 25461732, and 16K10253 [to TNakao]); the Government of India Department of Science and Technology (DST INSPIRE Faculty Grant No. -IFA12-LSBM-26 [to JCN] and Grant No. SR/S0/HS/0016/2011 [to YCJR]); the Government of India Department of Biotechnology (Grant No. BT/06/IYBA/2012 [to JCN] and Grant No. BT/PR13334/Med/30/259/2009 [to YCJR]); the New York State Office of Mental Health (to HBS); the Italian Ministry of Health (Grant No. RC13-14-15-16A [to GS]); the National Center for Advancing Translational Sciences (Grant No. UL1TR000067/KL2TR00069 [to ERS]); the Canadian Institutes of Health Research (to SES); the Michael Smith Foundation for Health Research (to SES); the British Columbia Provincial Health Services Authority (to SES); the Netherlands Organization for Scientific Research (Grant No. NWO/ZonMW Vidi 917.15.318 [to GAvW]); the Wellcome-DBT India Alliance (Grant No. 500236/Z/11/Z [to GV]); the Shanghai Key Laboratory of Psychotic Disorders (Grant No. 13dz2260500 [to ZW]).

Published
2020
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7. Dissociable effects of psychopathic traits on cortical and subcortical visual pathways during facial emotion processing: An ERP study on the N170

Author

Pedro Almeida, Fernando Ferreira Santos, Joana B Vieira, Pedro S Moreira, Fernando Barbosa, João Marques-Teixeira, Faculdade de Psicologia e de Ciências da Educação, and Faculdade de Direito

Subjects
Basic medicine, Medicina básica, Basic medicine [Medical and Health sciences], Medicina básica [Ciências médicas e da saúde], behavioral disciplines and activities
Abstract

This study examined the relation between psychopathic traits and the brain response to facial emotion by analyzing the N170 component of the ERP. Fifty-four healthy participants were assessed for psychopathic traits and exposed to images of emotional and neutral faces with varying spatial frequency content. The N170 was modulated by the emotional expressions, irrespective of psychopathic traits. Fearless dominance was associated with a reduced N170, driven by the low spatial frequency components of the stimuli, and dependent on the tectopulvinar visual pathway. Conversely, coldheartedness was related to overall enhanced N170, suggesting mediation by geniculostriate processing. Results suggest that different dimensions of psychopathy are related to distinct facial emotion processing mechanisms and support the existence of both amygdala deficits and compensatory engagement of cortical structures for emotional processing in psychopathy.

Published
2014

8. Dissociable effects of psychopathic traits on cortical and subcortical visual pathways during facial emotion processing: an ERP study on the N170

Author

Pedro R, Almeida, Fernando, Ferreira-Santos, Joana B, Vieira, Pedro S, Moreira, Fernando, Barbosa, and João, Marques-Teixeira

Subjects
Cerebral Cortex, Facial Expression, Male, Young Adult, Adolescent, Social Perception, Humans, Electroencephalography, Visual Pathways, Antisocial Personality Disorder, Evoked Potentials, Psychomotor Performance
Abstract

This study examined the relation between psychopathic traits and the brain response to facial emotion by analyzing the N170 component of the ERP. Fifty-four healthy participants were assessed for psychopathic traits and exposed to images of emotional and neutral faces with varying spatial frequency content. The N170 was modulated by the emotional expressions, irrespective of psychopathic traits. Fearless dominance was associated with a reduced N170, driven by the low spatial frequency components of the stimuli, and dependent on the tectopulvinar visual pathway. Conversely, coldheartedness was related to overall enhanced N170, suggesting mediation by geniculostriate processing. Results suggest that different dimensions of psychopathy are related to distinct facial emotion processing mechanisms and support the existence of both amygdala deficits and compensatory engagement of cortical structures for emotional processing in psychopathy.

Published
2013

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