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5 results on '"Naumczyk P"'

1. Cognitive Predictors of Cortical Thickness in Healthy Aging.

Author

Naumczyk P, Sawicka AK, Brzeska B, Sabisz A, Jodzio K, Radkowski M, Czachowska K, Winklewski PJ, Finc K, Szurowska E, Demkow U, and Szarmach A

Subjects
Aged, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Neuropsychological Tests, Brain diagnostic imaging, Cognition, Healthy Aging
Abstract

This study seeks to define the role of predictive values of the motor speed, inhibition control, and fluid and crystallized intelligence in estimating the cortical thickness in healthy elderly. Forty-six older healthy subjects (37 women, 9 men) over 60 years of age were included in the study. The participants were examined on 3.0 T MRI scanners. The protocol included standard anatomical sequences, to exclude brain pathology, and a high-resolution T1-weighted sequence used to estimate the cortical thickness. The neuropsychological protocol included fluid intelligence assessment (Raven Progressive Matrices), crystalized intelligence assessment (information or vocabulary subtest of the Wechsler Adult Intelligence Scale-Revised (WAIS-R)), and executive functioning (Color Traits Test). The findings unraveled several interdependencies. The higher the intelligence, the thicker was the grey matter in nine regions of both hemispheres, but also some paradoxical reversed associations were found in four areas; all of them were localized along different sections of the cingulate gyrus in both hemispheres. An inverse association was found between crystallized intelligence and the thickness of the pars opecularis of the right hemisphere. The better the executive functioning, the thicker was the grey matter of a given region. The better the motor performance, the thicker was the grey matter of the rostral middle frontal area of the left hemisphere and the lingual gyrus of both hemispheres. In conclusion, the associations unraveled demonstrate that the neural mechanisms underlying healthy aging are complex and heterogenic across different cognitive domains and neuroanatomical regions. No brain aging theory seems to provide a suitable interpretative framework for all the results. A novel, more integrative approach to the brain aging should be considered.

Published
2018
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2. Compensatory functional reorganization may precede hypertension-related brain damage and cognitive decline: a functional magnetic resonance imaging study.

Author

Naumczyk P, Sabisz A, Witkowska M, Graff B, Jodzio K, Gąsecki D, Szurowska E, and Narkiewicz K

Subjects
Adult, Aged, Brain diagnostic imaging, Brain physiopathology, Case-Control Studies, Cognitive Dysfunction etiology, Female, Humans, Hypertension physiopathology, Magnetic Resonance Imaging methods, Male, Middle Aged, Neuropsychological Tests, Brain pathology, Cognitive Dysfunction diagnostic imaging, Hypertension complications
Abstract

Objectives: Our study aimed at exploring structural and functional differences in the brain during higher cognitive processing between middle-aged hypertensive patients and controls matched for sex, age and years of education., Methods: Two groups of 20 patients took part in MRI examinations. This article reports the results of functional MRI during a Stroop color interference task and structural evaluations based on a modified Fazekas scale., Results: No intergroup differences were found in regards to the severity of white matter lesions (Mann-Whitney U test = 150.5, P > 0.1), nor from the task performance in the scanner (t(35) = 0.2, P > 0.1). However, brain activation patterns between patients and controls varied. Hypertensive patients involved significantly more cerebral areas during the processing, regardless of the task difficulty. Differences were found in 26 diverse regions of both primary and associative cortices (with a peak voxel located in the cuneus, Z = 6.94, P < 0.05 family-wise error corrected at voxel level)., Conclusion: Our findings provide an insight into the brain mechanisms related to essential hypertension and suggest a functional reorganization (neuroplasticity) early in the course of the disease.

Published
2017
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3. Brain resting state functional magnetic resonance imaging in patients with takotsubo cardiomyopathy an inseparable pair of brain and heart.

Author

Sabisz A, Treder N, Fijałkowska M, Sieminski M, Fijałkowska J, Naumczyk P, Nowak R, Jaguszewski M, Cwalina N, Gruchała M, Szurowska E, and Fijałkowski M

Subjects
Aged, Diffusion Tensor Imaging methods, Female, Humans, Magnetic Resonance Imaging methods, Middle Aged, Neuropsychological Tests, Personality Tests, Rest physiology, Brain diagnostic imaging, Brain physiopathology, Personality physiology, Stress, Psychological complications, Stress, Psychological physiopathology, Takotsubo Cardiomyopathy diagnosis, Takotsubo Cardiomyopathy etiology, Takotsubo Cardiomyopathy psychology
Abstract

Background: Takotsubo cardiomyopathy (TTC) is often triggered by emotional or physical stress factors. Psychological variables can have an impact on the physical manifestations of heart disease. TTC may reflect stunned myocardium from a neurogenic source. Anatomical connections between different parts of the brain can be visualized by diffusion tensor imaging (DTI) and thus, expressed by diffusion coefficient - fractional anisotropy (FA). A novel tool used to evaluate brain function in the absence of task is resting state functional magnetic resonance imaging (RS-fMRI)., Methods: The study included both psychological tests and RS-fMRI examination, and was performed uniformly, in patients with takotsubo and healthy controls. The final group of patients consisted of 13 women, each who underwent a typical pattern of TTC triggered by emotionally stressful factors. The control group included thirteen healthy, age-matched women., Results: Psychological tests revealed that the Type D personality was not more likely to appear among studied patients with takotsubo cardiomyopathy than amongst the healthy population. However, the level of anxiety seen in patients with TTC was increased. There were no differences in FA values between patients and healthy controls. RS-fMRI showed that TTC patients had increased connectivity areas in the precuneus. The healthy controls, when compared to TTC patients had increased connectivity in the ventromedial prefrontal cortex., Conclusions: Taking into account the RS-fMRI results, psychological testing may suggest that TTC patients place a greater focus on themselves (increased tendency to experience negative affectivity, greater conscientiousness) and might have problems with emotional control. Our findings lead to the hypothesis that there is a personality profile for TTC patients' reactions to stressful triggers., (Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.)

Published
2016
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4. 10Kin1day: A Bottom-Up Neuroimaging Initiative

Author

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

Subjects
Biological Psychology, Psychology, Biomedical Imaging, Brain Disorders, Neurosciences, Neurological, MRI, connectome analysis, diffusion weighted MRI, brain, network, Clinical Sciences, Clinical sciences, Biological psychology
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

5. 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, Siemon C. de Lange, University Medical Center [Utrecht], Center for Nanotechnology Innovation, @NEST (CNI), National Enterprise for nanoScience and nanoTechnology (NEST), Scuola Normale Superiore di Pisa (SNS)-Scuola Universitaria Superiore Sant'Anna [Pisa] (SSSUP)-Istituto Italiano di Tecnologia (IIT)-Consiglio Nazionale delle Ricerche [Pisa] (CNR PISA)-Scuola Normale Superiore di Pisa (SNS)-Scuola Universitaria Superiore Sant'Anna [Pisa] (SSSUP)-Istituto Italiano di Tecnologia (IIT)-Consiglio Nazionale delle Ricerche [Pisa] (CNR PISA), Psychiatry Department, Adolescent Unit, Hospital General Universitario Gregorio Marañón, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, University of Edinburgh, University of Cambridge [UK] (CAM), Laboratoire Jacques-Louis Lions (LJLL), Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Department of Psychiatry, Icahn School of Medicine at Mount Sinai [New York] (MSSM), National University of Ireland [Galway] (NUI Galway), Centro de Investigación Biomédica en Red Salud Mental [Madrid] (CIBER-SAM), Trinity College Dublin-St. James's Hospital, University Hospital San Raffaele, Psychiatry and Psychotherapy, Universität Zürich [Zürich] = University of Zurich (UZH), Department of Neurology [Ulm], Universität Ulm - Ulm University [Ulm, Allemagne], Max-Planck-Institut für Mathematik in den Naturwissenschaften (MPI-MiS), Max-Planck-Gesellschaft, Dept. of Psychiatry, University of Marburg, Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences [Leipzig] (IMPNSC), Department of Psychology, Laboratory of Neurogenetics, sans affiliation, Division of Psychiatry, University of Edinburgh-Royal Edinburgh Hospital, Centro de Quimica Estrutural (CQE), Instituto Superior Técnico, Universidade Técnica de Lisboa (IST), Humboldt-Universität zu Berlin, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS), Instituto Superior Técnico, Universidade Técnica de Lisboa, Schizophrenia Research Institute [Sydney], Magnetic Resonance Imaging, Universidade do Minho, Metacohorts Consortium, Heinrich Heine Universität Düsseldorf = Heinrich Heine University [Düsseldorf], Department of Psychiatry and Human Behavior [Irvine], University of California [Irvine] (UCI), University of California-University of California, Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], Berlin School of Mind and Brain [Berlin], Department of Chemistry, Centre for Molecular Simulation, University of Calgary, Child and Adolescent Psychiatry / Psychology, Utrecht University, Wellcome Trust, Medical Research Council (UK), Canadian Institutes of Health Research, European Research Council, European Commission, German Research Foundation, Science Foundation Ireland, Russian Foundation for Basic Research, Fundação para a Ciência e a Tecnologia (Portugal), Instituto de Salud Carlos III, National Institutes of Health (US), Van Den Heuvel, M. P., Scholtens, L. H., Van Der Burgh, H. K., Agosta, F., Alloza, C., Arango, C., Auyeung, B., Baron-Cohen, S., Basaia, S., Benders, M. J. N. L., Beyer, F., Booij, L., Braun, K. P. J., Filho, G. B., Cahn, W., Cannon, D. M., Chaim-Avancini, T. M., Chan, S. S. M., Chen, E. Y. H., Crespo-Facorro, B., Crone, E. A., Dannlowski, U., De Zwarte, S. M. C., Dietsche, B., Donohoe, G., Plessis, S. D., Durston, S., Diaz-Caneja, C. M., Diaz-Zuluaga, A. M., Emsley, R., Filippi, M., Frodl, T., Gorges, M., Graff, B., Grotegerd, D., Gasecki, D., Hall, J. M., Holleran, L., Holt, R., Hopman, H. J., Jansen, A., Janssen, J., Jodzio, K., Jancke, L., Kaleda, V. G., Kassubek, J., Masouleh, S. K., Kircher, T., Koevoets, M. G. J. C., Kostic, V. S., Krug, A., Lawrie, S. M., Lebedeva, I. S., Lee, E. H. M., Lett, T. A., Lewis, S. J. G., Liem, F., Lombardo, M. V., Lopez-Jaramillo, C., Margulies, D. S., Markett, S., Marques, P., Martinez-Zalacain, I., Mcdonald, C., Mcintosh, A. M., Mcphilemy, G., Meinert, S. L., Menchon, J. M., Montag, C., Moreira, P. S., Morgado, P., Mothersill, D. O., Merillat, S., Muller, H. -P., Nabulsi, L., Najt, P., Narkiewicz, K., Naumczyk, P., Oranje, B., De la Foz, V. O. -G., Peper, J. S., Pineda, J. A., Rasser, P. E., Redlich, R., Repple, J., Reuter, M., Rosa, P. G. P., Ruigrok, A. N. V., Sabisz, A., Schall, U., Seedat, S., Serpa, M. H., Skouras, S., Soriano-Mas, C., Sousa, N., Szurowska, E., Tomyshev, A. S., Tordesillas-Gutierrez, D., Valk, S. L., Van Den Berg, L. H., Van Erp, T. G. M., Van Haren, N. E. M., Van Leeuwen, J. M. C., Villringer, A., Vinkers, C. H., Vollmar, C., Waller, L., Walter, H., Whalley, H. C., Witkowska, M., Witte, A. V., Zanetti, M. V., Zhang, R., De Lange, S. C., Baron-Cohen, Simon [0000-0001-9217-2544], Ruigrok, Amber [0000-0001-7711-8056], and Apollo - University of Cambridge Repository

Subjects
Computer science, diffusion weighted MRI, Stress-related disorders Donders Center for Medical Neuroscience [Radboudumc 13], Network, Brain mapping, lcsh:RC346-429, HUMAN CONNECTOME, Diffusion, 0302 clinical medicine, Medicine and Health Sciences, yttria mould coating, Cervell, Anàlisi, ComputingMilieux_MISCELLANEOUS, Brain network, 0303 health sciences, Event (computing), Brain, Human Connectome, Top-down and bottom-up design, 3. Good health, Neurology, investment casting, Perspective, Connectome, Difusió, PROJECT, MRI, Connectome analysis, AZ91D-1 wt% CaO, brain, Clinical Neurology, 03 medical and health sciences, SDG 17 - Partnerships for the Goals, Neuroimaging, Journal Article, ddc:610, Diffusion weighted MRI, lcsh:Neurology. Diseases of the nervous system, 030304 developmental biology, Connectome analysi, Science & Technology, Assaying, [SCCO.NEUR]Cognitive science/Neuroscience, mould–metal interaction, Biology and Life Sciences, Data science, Clinical neurology, network, Neurology (clinical), HUMAN CEREBRAL-CORTEX, 030217 neurology & neurosurgery
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. Ongoing grand-scale projects like the European Human Brain Project (1), the US Brain Initiative (2), the Human Connectome Project (3), the Chinese Brainnetome (4) and exciting world-wide neuroimaging collaborations such as ENIGMA (5) herald the new era of big neuroscience. In conjunction with these major undertakings, there is an emerging trend for bottom-up initiatives, starting with small-scale projects built upon existing collaborations and infrastructures. As described by Mainen et al. (6), these initiatives are centralized around self-organized groups of researchers working on the same challenges and sharing interests and specialized expertise. These projects could scale and open up to a larger audience and other disciplines over time, eventually lining up and merging their findings with other programs to make the bigger picture., The 10Kin1day workshop was generously sponsored by the Neuroscience and Cognition program Utrecht (NCU) of the Utrecht University (https://www.uu.nl/en/research/ neuroscience-and-cognition-utrecht), the ENIGMA consortium (http://enigma.ini.usc.edu), and personal grants: MvdH: NWOVIDI (452-16-015), MQ Fellowship; SB-C: the Wellcome Trust; Medical Research Council UK; NIHR CLAHRC for Cambridgeshire and Peterborough Foundation National Health Services Trust; Autism Research Trust; LB: New Investigator Award, Canadian Institutes of Health Research; Dara Cannon: Health Research Board (HRB), Ireland (grant code HRA-POR2013-324); SC: Research Grant Council (Hong Kong)-GRF 14101714; Eveline Crone: ERC-2010-StG-263234; UD: DFG, grant FOR2107 DA1151/5-1, DA1151/5-2, SFB-TRR58, Project C09, IZKF, grant Dan3/012/17; SD: MRC-RFA-UFSP-012013 (Shared Roots MRC Flagship grant); TF: Marie Curie Programme, International Training Programme, r’Birth; DG: National Science Centre (UMO-2011/02/A/NZ5/00329); BG: National Science Centre (UMO-2011/02/A/NZ5/00329); JH: Western Sydney University Postgraduate Research Award; LH: Science Foundation Ireland, ERC; HH: Research Grant Council (Hong Kong)-GRF 14101714; LJ: Velux Stiftung, grant 369 & UZH University Research Priority Program Dynamics of Healthy Aging; AJ: DFG, grant FOR2107 JA 1890/7-1; KJ: National Science Centre (UMO-2013/09/N/HS6/02634); VK: The Russian Foundation for Basic Research (grant code 15-06-05758A); TK: DFG, grant FOR2107 KI 588/14-1, DFG, grant FOR2107 KI 588/15-1; AK: DFG, grant FOR2107 KO 4291/4-1, DFG, grant FOR2107 KO 4291/3-1; IL: The Russian Foundation for Basic Research (grant code 15-06-05758A); EL: Health and Medical Research Fund - 11121271; SiL: NHMRC-ARC Dementia Fellowship 1110414, NHMRC Dementia Research Team Grant 1095127, NHMRC Project Grant 1062319; CL-J: 537-2011, 2014849; AM: Wellcome Trust Strategic Award (104036/Z/14/Z), MRC Grant MC_PC_17209; CM: Heisenberg-Grant, German Research Foundation, DFG MO 2363/3-2; PM: Foundation for Science and Technology, Portugal - PDE/BDE/113601/2015; KN: National Science Centre (UMO-2011/02/A/NZ5/00329); PN: National Science Centre (UMO-2013/09/N/HS6/02634); JiP: NWO-Veni 451-10-007; PaR: PER and US would like to thank the Schizophrenia Research Institute and the Chief-Investigators of the Australian Schizophrenia Research Bank V. Carr, U. Schall, R. Scott, A. Jablensky, B. Mowry, P. Michie, S. Catts, F. Henskens, and C. Pantelis; AS: National Science Centre (UMO-2011/02/A/NZ5/00329); SS: European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 707730; CS-M: Carlos III Health Institute (PI13/01958), Carlos III Health Institute (PI16/00889), Carlos III Health Institute (CPII16/00048); ES: National Science Centre (UMO-2011/02/A/NZ5/00329); AT: The Russian Foundation for Basic Research (grant code 1506-05758A); DT-G: PI14/00918, PI14/00639; Leonardo Tozzi: Marie Curie Programme, International Training Programme, r’Birth; SV: IMPRS Neurocom stipend; TvE: National Center for Research Resources at the National Institutes of Health (grant numbers: NIH 1 U24 RR021992 (Function Biomedical Informatics Research Network), NIH 1 U24 RR025736-01 (Biomedical Informatics Research Network Coordinating Center; http://www.birncommunity.org) and the NIH Big Data to Knowledge (BD2K) award (U54 EB020403 to Paul Thompson). NvH: NWO-VIDI (452-11-014); MW: National Science Centre (UMO-2011/02/A/NZ5/00329); Veronica O’Keane: Meath Foundation; AV and AW: CRC Obesity Mechanism (SFB 1052) Project A1 funded by DFG. The funding sources had no role in the study design, data collection, analysis, and interpretation of the data.

Published
2019
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