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347 results on '"Oostenveld, Robert"'

1. One hundred years of EEG for brain and behaviour research

Author

Mushtaq, Faisal, Welke, Dominik, Gallagher, Anne, Pavlov, Yuri G., Kouara, Layla, Bosch-Bayard, Jorge, van den Bosch, Jasper J. F., Arvaneh, Mahnaz, Bland, Amy R., Chaumon, Maximilien, Borck, Cornelius, He, Xun, Luck, Steven J., Machizawa, Maro G., Pernet, Cyril, Puce, Aina, Segalowitz, Sidney J., Rogers, Christine, Awais, Muhammad, Babiloni, Claudio, Bailey, Neil W., Baillet, Sylvain, Bendall, Robert C. A., Brady, Daniel, Bringas-Vega, Maria L., Busch, Niko A., Calzada-Reyes, Ana, Chatard, Armand, Clayson, Peter E., Cohen, Michael X., Cole, Jonathan, Constant, Martin, Corneyllie, Alexandra, Coyle, Damien, Cruse, Damian, Delis, Ioannis, Delorme, Arnaud, Fair, Damien, Falk, Tiago H., Gamer, Matthias, Ganis, Giorgio, Gloy, Kilian, Gregory, Samantha, Hassall, Cameron D., Hiley, Katherine E., Ivry, Richard B., Jerbi, Karim, Jenkins, Michael, Kaiser, Jakob, Keil, Andreas, Knight, Robert T., Kochen, Silvia, Kotchoubey, Boris, Krigolson, Olave E., Langer, Nicolas, Liesefeld, Heinrich R., Lippé, Sarah, London, Raquel E., MacNamara, Annmarie, Makeig, Scott, Marinovic, Welber, Martínez-Montes, Eduardo, Marzuki, Aleya A., Mathew, Ryan K., Michel, Christoph, Millán, José d. R., Mon-Williams, Mark, Morales-Chacón, Lilia, Naar, Richard, Nilsonne, Gustav, Niso, Guiomar, Nyhus, Erika, Oostenveld, Robert, Paul, Katharina, Paulus, Walter, Pfabigan, Daniela M., Pourtois, Gilles, Rampp, Stefan, Rausch, Manuel, Robbins, Kay, Rossini, Paolo M., Ruzzoli, Manuela, Schmidt, Barbara, Senderecka, Magdalena, Srinivasan, Narayanan, Stegmann, Yannik, Thompson, Paul M., Valdes-Sosa, Mitchell, van der Molen, Melle J. W., Veniero, Domenica, Verona, Edelyn, Voytek, Bradley, Yao, Dezhong, Evans, Alan C., and Valdes-Sosa, Pedro

Published
2024
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2. The Past, Present, and Future of the Brain Imaging Data Structure (BIDS)

Author

Poldrack, Russell A., Markiewicz, Christopher J., Appelhoff, Stefan, Ashar, Yoni K., Auer, Tibor, Baillet, Sylvain, Bansal, Shashank, Beltrachini, Leandro, Benar, Christian G., Bertazzoli, Giacomo, Bhogawar, Suyash, Blair, Ross W., Bortoletto, Marta, Boudreau, Mathieu, Brooks, Teon L., Calhoun, Vince D., Castelli, Filippo Maria, Clement, Patricia, Cohen, Alexander L, Cohen-Adad, Julien, D'Ambrosio, Sasha, de Hollander, Gilles, de la iglesia-Vayá, María, de la Vega, Alejandro, Delorme, Arnaud, Devinsky, Orrin, Draschkow, Dejan, Duff, Eugene Paul, DuPre, Elizabeth, Earl, Eric, Esteban, Oscar, Feingold, Franklin W., Flandin, Guillaume, galassi, anthony, Gallitto, Giuseppe, Ganz, Melanie, Gau, Rémi, Gholam, James, Ghosh, Satrajit S., Giacomel, Alessio, Gillman, Ashley G, Gleeson, Padraig, Gramfort, Alexandre, Guay, Samuel, Guidali, Giacomo, Halchenko, Yaroslav O., Handwerker, Daniel A., Hardcastle, Nell, Herholz, Peer, Hermes, Dora, Honey, Christopher J., Innis, Robert B., Ioanas, Horea-Ioan, Jahn, Andrew, Karakuzu, Agah, Keator, David B., Kiar, Gregory, Kincses, Balint, Laird, Angela R., Lau, Jonathan C., Lazari, Alberto, Legarreta, Jon Haitz, Li, Adam, Li, Xiangrui, Love, Bradley C., Lu, Hanzhang, Maumet, Camille, Mazzamuto, Giacomo, Meisler, Steven L., Mikkelsen, Mark, Mutsaerts, Henk, Nichols, Thomas E., Nikolaidis, Aki, Nilsonne, Gustav, Niso, Guiomar, Norgaard, Martin, Okell, Thomas W, Oostenveld, Robert, Ort, Eduard, Park, Patrick J., Pawlik, Mateusz, Pernet, Cyril R., Pestilli, Franco, Petr, Jan, Phillips, Christophe, Poline, Jean-Baptiste, Pollonini, Luca, Raamana, Pradeep Reddy, Ritter, Petra, Rizzo, Gaia, Robbins, Kay A., Rockhill, Alexander P., Rogers, Christine, Rokem, Ariel, Rorden, Chris, Routier, Alexandre, Saborit-Torres, Jose Manuel, Salo, Taylor, Schirner, Michael, Smith, Robert E., Spisak, Tamas, Sprenger, Julia, Swann, Nicole C., Szinte, Martin, Takerkart, Sylvain, Thirion, Bertrand, Thomas, Adam G., Torabian, Sajjad, Varoquaux, Gael, Voytek, Bradley, Welzel, Julius, Wilson, Martin, Yarkoni, Tal, and Gorgolewski, Krzysztof J.

Subjects
Quantitative Biology - Other Quantitative Biology
Abstract

The Brain Imaging Data Structure (BIDS) is a community-driven standard for the organization of data and metadata from a growing range of neuroscience modalities. This paper is meant as a history of how the standard has developed and grown over time. We outline the principles behind the project, the mechanisms by which it has been extended, and some of the challenges being addressed as it evolves. We also discuss the lessons learned through the project, with the aim of enabling researchers in other domains to learn from the success of BIDS.

Published
2023

4. Centering inclusivity in the design of online conferences—An OHBM–Open Science perspective

Author

Levitis, Elizabeth, van Praag, Cassandra D Gould, Gau, Rémi, Heunis, Stephan, DuPre, Elizabeth, Kiar, Gregory, Bottenhorn, Katherine L, Glatard, Tristan, Nikolaidis, Aki, Whitaker, Kirstie Jane, Mancini, Matteo, Niso, Guiomar, Afyouni, Soroosh, Alonso-Ortiz, Eva, Appelhoff, Stefan, Arnatkeviciute, Aurina, Atay, Selim Melvin, Auer, Tibor, Baracchini, Giulia, Bayer, Johanna MM, Beauvais, Michael JS, Bijsterbosch, Janine D, Bilgin, Isil P, Bollmann, Saskia, Bollmann, Steffen, Botvinik-Nezer, Rotem, Bright, Molly G, Calhoun, Vince D, Chen, Xiao, Chopra, Sidhant, Chuan-Peng, Hu, Close, Thomas G, Cookson, Savannah L, Craddock, R Cameron, De La Vega, Alejandro, De Leener, Benjamin, Demeter, Damion V, Di Maio, Paola, Dickie, Erin W, Eickhoff, Simon B, Esteban, Oscar, Finc, Karolina, Frigo, Matteo, Ganesan, Saampras, Ganz, Melanie, Garner, Kelly G, Garza-Villarreal, Eduardo A, Gonzalez-Escamilla, Gabriel, Goswami, Rohit, Griffiths, John D, Grootswagers, Tijl, Guay, Samuel, Guest, Olivia, Handwerker, Daniel A, Herholz, Peer, Heuer, Katja, Huijser, Dorien C, Iacovella, Vittorio, Joseph, Michael JE, Karakuzu, Agah, Keator, David B, Kobeleva, Xenia, Kumar, Manoj, Laird, Angela R, Larson-Prior, Linda J, Lautarescu, Alexandra, Lazari, Alberto, Legarreta, Jon Haitz, Li, Xue-Ying, Lv, Jinglei, L., Sina Mansour, Meunier, David, Moraczewski, Dustin, Nandi, Tulika, Nastase, Samuel A, Nau, Matthias, Noble, Stephanie, Norgaard, Martin, Obungoloch, Johnes, Oostenveld, Robert, Orchard, Edwina R, Pinho, Ana Luísa, Poldrack, Russell A, Qiu, Anqi, Raamana, Pradeep Reddy, Rokem, Ariel, Rutherford, Saige, Sharan, Malvika, Shaw, Thomas B, Syeda, Warda T, Testerman, Meghan M, Toro, Roberto, Valk, Sofie L, Van Den Bossche, Sofie, Varoquaux, Gaël, Váša, František, Veldsman, Michele, Vohryzek, Jakub, Wagner, Adina S, and Walsh, Reubs J

Subjects
online conferences, diversity, inclusivity, open science, collaborative events
Abstract

As the global health crisis unfolded, many academic conferences moved online in 2020. This move has been hailed as a positive step towards inclusivity in its attenuation of economic, physical, and legal barriers and effectively enabled many individuals from groups that have traditionally been underrepresented to join and participate. A number of studies have outlined how moving online made it possible to gather a more global community and has increased opportunities for individuals with various constraints, e.g., caregiving responsibilities. Yet, the mere existence of online conferences is no guarantee that everyone can attend and participate meaningfully. In fact, many elements of an online conference are still significant barriers to truly diverse participation: the tools used can be inaccessible for some individuals; the scheduling choices can favour some geographical locations; the set-up of the conference can provide more visibility to well-established researchers and reduce opportunities for early-career researchers. While acknowledging the benefits of an online setting, especially for individuals who have traditionally been underrepresented or excluded, we recognize that fostering social justice requires inclusivity to actively be centered in every aspect of online conference design. Here, we draw from the literature and from our own experiences to identify practices that purposefully encourage a diverse community to attend, participate in, and lead online conferences. Reflecting on how to design more inclusive online events is especially important as multiple scientific organizations have announced that they will continue offering an online version of their event when in-person conferences can resume.

Published
2021

5. Brainhack: Developing a culture of open, inclusive, community-driven neuroscience

Author

Gau, Rémi, Noble, Stephanie, Heuer, Katja, Bottenhorn, Katherine L, Bilgin, Isil P, Yang, Yu-Fang, Huntenburg, Julia M, Bayer, Johanna MM, Bethlehem, Richard AI, Rhoads, Shawn A, Vogelbacher, Christoph, Borghesani, Valentina, Levitis, Elizabeth, Wang, Hao-Ting, Van Den Bossche, Sofie, Kobeleva, Xenia, Legarreta, Jon Haitz, Guay, Samuel, Atay, Selim Melvin, Varoquaux, Gael P, Huijser, Dorien C, Sandström, Malin S, Herholz, Peer, Nastase, Samuel A, Badhwar, AmanPreet, Dumas, Guillaume, Schwab, Simon, Moia, Stefano, Dayan, Michael, Bassil, Yasmine, Brooks, Paula P, Mancini, Matteo, Shine, James M, O’Connor, David, Xie, Xihe, Poggiali, Davide, Friedrich, Patrick, Heinsfeld, Anibal S, Riedl, Lydia, Toro, Roberto, Caballero-Gaudes, César, Eklund, Anders, Garner, Kelly G, Nolan, Christopher R, Demeter, Damion V, Barrios, Fernando A, Merchant, Junaid S, McDevitt, Elizabeth A, Oostenveld, Robert, Craddock, R Cameron, Rokem, Ariel, Doyle, Andrew, Ghosh, Satrajit S, Nikolaidis, Aki, Stanley, Olivia W, Uruñuela, Eneko, Community, The Brainhack, Anousheh, Nasim, Arnatkeviciute, Aurina, Auzias, Guillaume, Bachar, Dipankar, Bannier, Elise, Basanisi, Ruggero, Basavaraj, Arshitha, Bedini, Marco, Bellec, Pierre, Benn, R Austin, Berluti, Kathryn, Bollmann, Steffen, Bollmann, Saskia, Bradley, Claire, Brown, Jesse, Buchweitz, Augusto, Callahan, Patrick, Chan, Micaela Y, Chandio, Bramsh Q, Cheng, Theresa, Chopra, Sidhant, Chung, Ai Wern, Close, Thomas G, Combrisson, Etienne, Cona, Giorgia, Constable, R Todd, Cury, Claire, Dadi, Kamalaker, Damasceno, Pablo F, Das, Samir, De Vico Fallani, Fabrizio, DeStasio, Krista, Dickie, Erin W, Dorfschmidt, Lena, Duff, Eugene P, DuPre, Elizabeth, Dziura, Sarah, Esper, Nathalia B, Esteban, Oscar, Fadnavis, Shreyas, Flandin, Guillaume, Flannery, Jessica E, and Flournoy, John

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Neurosciences, Psychology, Communication, Congresses as Topic, Internet, Practice Guidelines as Topic, Brainhack Community, Brainhack, best practices, collaboration, community building, hackathon, inclusivity, neuroscience, open science, reproducibility, training, Cognitive Sciences, Neurology & Neurosurgery, Biological psychology
Abstract

Brainhack is an innovative meeting format that promotes scientific collaboration and education in an open, inclusive environment. This NeuroView describes the myriad benefits for participants and the research community and how Brainhacks complement conventional formats to augment scientific progress.

Published
2021

8. Advances in human intracranial electroencephalography research, guidelines and good practices

Author

Mercier, Manuel R., Dubarry, Anne-Sophie, Tadel, François, Avanzini, Pietro, Axmacher, Nikolai, Cellier, Dillan, Vecchio, Maria Del, Hamilton, Liberty S., Hermes, Dora, Kahana, Michael J., Knight, Robert T., Llorens, Anais, Megevand, Pierre, Melloni, Lucia, Miller, Kai J., Piai, Vitória, Puce, Aina, Ramsey, Nick F, Schwiedrzik, Caspar M., Smith, Sydney E., Stolk, Arjen, Swann, Nicole C., Vansteensel, Mariska J, Voytek, Bradley, Wang, Liang, Lachaux, Jean-Philippe, and Oostenveld, Robert

Published
2022
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10. iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial electrophysiology

Author

Holdgraf, Christopher, Appelhoff, Stefan, Bickel, Stephan, Bouchard, Kristofer, D’Ambrosio, Sasha, David, Olivier, Devinsky, Orrin, Dichter, Benjamin, Flinker, Adeen, Foster, Brett L, Gorgolewski, Krzysztof J, Groen, Iris, Groppe, David, Gunduz, Aysegul, Hamilton, Liberty, Honey, Christopher J, Jas, Mainak, Knight, Robert, Lachaux, Jean-Philippe, Lau, Jonathan C, Lee-Messer, Christopher, Lundstrom, Brian N, Miller, Kai J, Ojemann, Jeffrey G, Oostenveld, Robert, Petridou, Natalia, Piantoni, Gio, Pigorini, Andrea, Pouratian, Nader, Ramsey, Nick F, Stolk, Arjen, Swann, Nicole C, Tadel, François, Voytek, Bradley, Wandell, Brian A, Winawer, Jonathan, Whitaker, Kirstie, Zehl, Lyuba, and Hermes, Dora

Subjects
Biological Psychology, Physical Sciences, Psychology, Brain Disorders, Neurosciences, 1.1 Normal biological development and functioning, Underpinning research, Neurological, Brain, Datasets as Topic, Electroencephalography, Humans, Information Storage and Retrieval, Neuroimaging
Abstract

The Brain Imaging Data Structure (BIDS) is a community-driven specification for organizing neuroscience data and metadata with the aim to make datasets more transparent, reusable, and reproducible. Intracranial electroencephalography (iEEG) data offer a unique combination of high spatial and temporal resolution measurements of the living human brain. To improve internal (re)use and external sharing of these unique data, we present a specification for storing and sharing iEEG data: iEEG-BIDS.

Published
2019

12. PET-BIDS, an extension to the brain imaging data structure for positron emission tomography

Author

Norgaard, Martin, Matheson, Granville J., Hansen, Hanne D., Thomas, Adam, Searle, Graham, Rizzo, Gaia, Veronese, Mattia, Giacomel, Alessio, Yaqub, Maqsood, Tonietto, Matteo, Funck, Thomas, Gillman, Ashley, Boniface, Hugo, Routier, Alexandre, Dalenberg, Jelle R., Betthauser, Tobey, Feingold, Franklin, Markiewicz, Christopher J., Gorgolewski, Krzysztof J., Blair, Ross W., Appelhoff, Stefan, Gau, Remi, Salo, Taylor, Niso, Guiomar, Pernet, Cyril, Phillips, Christophe, Oostenveld, Robert, Gallezot, Jean-Dominique, Carson, Richard E., Knudsen, Gitte M., Innis, Robert B., and Ganz, Melanie

Published
2022
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15. The Past, Present, and Future of the Brain Imaging Data Structure (BIDS)

Author

Poldrack, R, Markiewicz, C, Appelhoff, S, Ashar, Y, Auer, T, Baillet, S, Bansal, S, Beltrachini, L, Benar, C, Bertazzoli, G, Bhogawar, S, Blair, R, Bortoletto, M, Boudreau, M, Brooks, T, Calhoun, V, Castelli, F, Clement, P, Cohen, A, Cohen-Adad, J, D'Ambrosio, S, de Hollander, G, de la Iglesia-Vayá, M, de la Vega, A, Delorme, A, Devinsky, O, Draschkow, D, Duff, E, Dupre, E, Earl, E, Esteban, O, Feingold, F, Flandin, G, Galassi, A, Gallitto, G, Ganz, M, Gau, R, Gholam, J, Ghosh, S, Giacomel, A, Gillman, A, Gleeson, P, Gramfort, A, Guay, S, Guidali, G, Halchenko, Y, Handwerker, D, Hardcastle, N, Herholz, P, Hermes, D, Honey, C, Innis, R, Ioanas, H, Jahn, A, Karakuzu, A, Keator, D, Kiar, G, Kincses, B, Laird, A, Lau, J, Lazari, A, Legarreta, J, Li, A, Li, X, Love, B, Lu, H, Marcantoni, E, Maumet, C, Mazzamuto, G, Meisler, S, Mikkelsen, M, Mutsaerts, H, Nichols, T, Nikolaidis, A, Nilsonne, G, Niso, G, Norgaard, M, Okell, T, Oostenveld, R, Ort, E, Park, P, Pawlik, M, Pernet, C, Pestilli, F, Petr, J, Phillips, C, Poline, J, Pollonini, L, Raamana, P, Ritter, P, Rizzo, G, Robbins, K, Rockhill, A, Rogers, C, Rokem, A, Rorden, C, Routier, A, Saborit-Torres, J, Salo, T, Schirner, M, Smith, R, Spisak, T, Sprenger, J, Swann, N, Szinte, M, Takerkart, S, Thirion, B, Thomas, A, Torabian, S, Varoquaux, G, Voytek, B, Welzel, J, Wilson, M, Yarkoni, T, Gorgolewski, K, Poldrack, Russell A., Markiewicz, Christopher J., Appelhoff, Stefan, Ashar, Yoni K., Auer, Tibor, Baillet, Sylvain, Bansal, Shashank, Beltrachini, Leandro, Benar, Christian G., Bertazzoli, Giacomo, Bhogawar, Suyash, Blair, Ross W., Bortoletto, Marta, Boudreau, Mathieu, Brooks, Teon L., Calhoun, Vince D., Castelli, Filippo Maria, Clement, Patricia, Cohen, Alexander L., Cohen-Adad, Julien, D'Ambrosio, Sasha, de Hollander, Gilles, de la Iglesia-Vayá, María, de la Vega, Alejandro, Delorme, Arnaud, Devinsky, Orrin, Draschkow, Dejan, Duff, Eugene Paul, DuPre, Elizabeth, Earl, Eric, Esteban, Oscar, Feingold, Franklin W., Flandin, Guillaume, Galassi, Anthony, Gallitto, Giuseppe, Ganz, Melanie, Gau, Rémi, Gholam, James, Ghosh, Satrajit S., Giacomel, Alessio, Gillman, Ashley G., Gleeson, Padraig, Gramfort, Alexandre, Guay, Samuel, Guidali, Giacomo, Halchenko, Yaroslav O., Handwerker, Daniel A., Hardcastle, Nell, Herholz, Peer, Hermes, Dora, Honey, Christopher J., Innis, Robert B., Ioanas, Horea-Ioan, Jahn, Andrew, Karakuzu, Agah, Keator, David B., Kiar, Gregory, Kincses, Balint, Laird, Angela R., Lau, Jonathan C., Lazari, Alberto, Legarreta, Jon Haitz, Li, Adam, Li, Xiangrui, Love, Bradley C., Lu, Hanzhang, Marcantoni, Eleonora, Maumet, Camille, Mazzamuto, Giacomo, Meisler, Steven L., Mikkelsen, Mark, Mutsaerts, Henk, Nichols, Thomas E., Nikolaidis, Aki, Nilsonne, Gustav, Niso, Guiomar, Norgaard, Martin, Okell, Thomas W., Oostenveld, Robert, Ort, Eduard, Park, Patrick J., Pawlik, Mateusz, Pernet, Cyril R., Pestilli, Franco, Petr, Jan, Phillips, Christophe, Poline, Jean-Baptiste, Pollonini, Luca, Raamana, Pradeep Reddy, Ritter, Petra, Rizzo, Gaia, Robbins, Kay A., Rockhill, Alexander P., Rogers, Christine, Rokem, Ariel, Rorden, Chris, Routier, Alexandre, Saborit-Torres, Jose Manuel, Salo, Taylor, Schirner, Michael, Smith, Robert E., Spisak, Tamas, Sprenger, Julia, Swann, Nicole C., Szinte, Martin, Takerkart, Sylvain, Thirion, Bertrand, Thomas, Adam G., Torabian, Sajjad, Varoquaux, Gael, Voytek, Bradley, Welzel, Julius, Wilson, Martin, Yarkoni, Tal, Gorgolewski, Krzysztof J., Poldrack, R, Markiewicz, C, Appelhoff, S, Ashar, Y, Auer, T, Baillet, S, Bansal, S, Beltrachini, L, Benar, C, Bertazzoli, G, Bhogawar, S, Blair, R, Bortoletto, M, Boudreau, M, Brooks, T, Calhoun, V, Castelli, F, Clement, P, Cohen, A, Cohen-Adad, J, D'Ambrosio, S, de Hollander, G, de la Iglesia-Vayá, M, de la Vega, A, Delorme, A, Devinsky, O, Draschkow, D, Duff, E, Dupre, E, Earl, E, Esteban, O, Feingold, F, Flandin, G, Galassi, A, Gallitto, G, Ganz, M, Gau, R, Gholam, J, Ghosh, S, Giacomel, A, Gillman, A, Gleeson, P, Gramfort, A, Guay, S, Guidali, G, Halchenko, Y, Handwerker, D, Hardcastle, N, Herholz, P, Hermes, D, Honey, C, Innis, R, Ioanas, H, Jahn, A, Karakuzu, A, Keator, D, Kiar, G, Kincses, B, Laird, A, Lau, J, Lazari, A, Legarreta, J, Li, A, Li, X, Love, B, Lu, H, Marcantoni, E, Maumet, C, Mazzamuto, G, Meisler, S, Mikkelsen, M, Mutsaerts, H, Nichols, T, Nikolaidis, A, Nilsonne, G, Niso, G, Norgaard, M, Okell, T, Oostenveld, R, Ort, E, Park, P, Pawlik, M, Pernet, C, Pestilli, F, Petr, J, Phillips, C, Poline, J, Pollonini, L, Raamana, P, Ritter, P, Rizzo, G, Robbins, K, Rockhill, A, Rogers, C, Rokem, A, Rorden, C, Routier, A, Saborit-Torres, J, Salo, T, Schirner, M, Smith, R, Spisak, T, Sprenger, J, Swann, N, Szinte, M, Takerkart, S, Thirion, B, Thomas, A, Torabian, S, Varoquaux, G, Voytek, B, Welzel, J, Wilson, M, Yarkoni, T, Gorgolewski, K, Poldrack, Russell A., Markiewicz, Christopher J., Appelhoff, Stefan, Ashar, Yoni K., Auer, Tibor, Baillet, Sylvain, Bansal, Shashank, Beltrachini, Leandro, Benar, Christian G., Bertazzoli, Giacomo, Bhogawar, Suyash, Blair, Ross W., Bortoletto, Marta, Boudreau, Mathieu, Brooks, Teon L., Calhoun, Vince D., Castelli, Filippo Maria, Clement, Patricia, Cohen, Alexander L., Cohen-Adad, Julien, D'Ambrosio, Sasha, de Hollander, Gilles, de la Iglesia-Vayá, María, de la Vega, Alejandro, Delorme, Arnaud, Devinsky, Orrin, Draschkow, Dejan, Duff, Eugene Paul, DuPre, Elizabeth, Earl, Eric, Esteban, Oscar, Feingold, Franklin W., Flandin, Guillaume, Galassi, Anthony, Gallitto, Giuseppe, Ganz, Melanie, Gau, Rémi, Gholam, James, Ghosh, Satrajit S., Giacomel, Alessio, Gillman, Ashley G., Gleeson, Padraig, Gramfort, Alexandre, Guay, Samuel, Guidali, Giacomo, Halchenko, Yaroslav O., Handwerker, Daniel A., Hardcastle, Nell, Herholz, Peer, Hermes, Dora, Honey, Christopher J., Innis, Robert B., Ioanas, Horea-Ioan, Jahn, Andrew, Karakuzu, Agah, Keator, David B., Kiar, Gregory, Kincses, Balint, Laird, Angela R., Lau, Jonathan C., Lazari, Alberto, Legarreta, Jon Haitz, Li, Adam, Li, Xiangrui, Love, Bradley C., Lu, Hanzhang, Marcantoni, Eleonora, Maumet, Camille, Mazzamuto, Giacomo, Meisler, Steven L., Mikkelsen, Mark, Mutsaerts, Henk, Nichols, Thomas E., Nikolaidis, Aki, Nilsonne, Gustav, Niso, Guiomar, Norgaard, Martin, Okell, Thomas W., Oostenveld, Robert, Ort, Eduard, Park, Patrick J., Pawlik, Mateusz, Pernet, Cyril R., Pestilli, Franco, Petr, Jan, Phillips, Christophe, Poline, Jean-Baptiste, Pollonini, Luca, Raamana, Pradeep Reddy, Ritter, Petra, Rizzo, Gaia, Robbins, Kay A., Rockhill, Alexander P., Rogers, Christine, Rokem, Ariel, Rorden, Chris, Routier, Alexandre, Saborit-Torres, Jose Manuel, Salo, Taylor, Schirner, Michael, Smith, Robert E., Spisak, Tamas, Sprenger, Julia, Swann, Nicole C., Szinte, Martin, Takerkart, Sylvain, Thirion, Bertrand, Thomas, Adam G., Torabian, Sajjad, Varoquaux, Gael, Voytek, Bradley, Welzel, Julius, Wilson, Martin, Yarkoni, Tal, and Gorgolewski, Krzysztof J.

Abstract

The Brain Imaging Data Structure (BIDS) is a community-driven standard for the organization of data and metadata from a growing range of neuroscience modalities. This paper is meant as a history of how the standard has developed and grown over time. We outline the principles behind the project, the mechanisms by which it has been extended, and some of the challenges being addressed as it evolves. We also discuss the lessons learned through the project, with the aim of enabling researchers in other domains to learn from the success of BIDS.

Published
2024

16. The Swedish National Facility for Magnetoencephalography Parkinson's disease dataset

Author

Vinding, Mikkel C., Eriksson, Allison, Comarovschii, Igori, Waldthaler, Josefine, Manting, Cassia Low, Oostenveld, Robert, Ingvar, Martin, Svenningsson, Per, Lundqvist, Daniel, Vinding, Mikkel C., Eriksson, Allison, Comarovschii, Igori, Waldthaler, Josefine, Manting, Cassia Low, Oostenveld, Robert, Ingvar, Martin, Svenningsson, Per, and Lundqvist, Daniel

Abstract

Parkinson's disease (PD) is characterised by a loss of dopamine and dopaminergic cells. The consequences hereof are widespread network disturbances in brain function. It is an ongoing topic of investigation how the disease-related changes in brain function manifest in PD relate to clinical symptoms. We present The Swedish National Facility for Magnetoencephalography Parkinson's Disease Dataset (NatMEG-PD) as an Open Science contribution to identify the functional neural signatures of Parkinson's disease and contribute to diagnosis and treatment. The dataset contains whole-head magnetoencephalographic (MEG) recordings from 66 well-characterised PD patients on their regular dose of dopamine replacement therapy and 68 age- and sex-matched healthy controls. NatMEG-PD contains three-minute eyes-closed resting-state MEG, MEG during an active movement task, and MEG during passive movements. The data includes anonymised MRI for source analysis and clinical scores. MEG data is rich in nature and can be used to explore numerous functional features. By sharing these data, we hope other researchers will contribute to advancing our understanding of the relationship between brain activity and disease state or symptoms.

Published
2024
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18. Motion-BIDS: an extension to the brain imaging data structure to organize motion data for reproducible research.

Author

Jeung, Sein, Cockx, Helena, Appelhoff, Stefan, Berg, Timotheus, Gramann, Klaus, Grothkopp, Sören, Warmerdam, Elke, Hansen, Clint, Oostenveld, Robert, BIDS Maintainers, Markiewicz, Christopher J., Salo, Taylor, Gau, Rémi, Blair, Ross, Galassi, Anthony, Earl, Eric, Rogers, Christine, Hardcastle, Nell, Ray, Kimberly, and Welzel, Julius

Subjects
DATA structures, BRAIN imaging, REPRODUCIBLE research, OPEN scholarship, BRAIN research
Abstract

We present an extension to the Brain Imaging Data Structure (BIDS) for motion data. Motion data is frequently recorded alongside human brain imaging and electrophysiological data. The goal of Motion-BIDS is to make motion data interoperable across different laboratories and with other data modalities in human brain and behavioral research. To this end, Motion-BIDS standardizes the data format and metadata structure. It describes how to document experimental details, considering the diversity of hardware and software systems for motion data. This promotes findable, accessible, interoperable, and reusable data sharing and Open Science in human motion research. [ABSTRACT FROM AUTHOR]

Published
2024
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19. Integrated analysis of anatomical and electrophysiological human intracranial data

Author

Stolk, Arjen, Griffin, Sandon, van der Meij, Roemer, Dewar, Callum, Saez, Ignacio, Lin, Jack J, Piantoni, Giovanni, Schoffelen, Jan-Mathijs, Knight, Robert T, and Oostenveld, Robert

Subjects
Biomedical Imaging, Brain, Electrocorticography, Electronic Data Processing, Humans, Neuroanatomy, Software, Chemical Sciences, Biological Sciences, Medical and Health Sciences, Bioinformatics
Abstract

Human intracranial electroencephalography (iEEG) recordings provide data with much greater spatiotemporal precision than is possible from data obtained using scalp EEG, magnetoencephalography (MEG), or functional MRI. Until recently, the fusion of anatomical data (MRI and computed tomography (CT) images) with electrophysiological data and their subsequent analysis have required the use of technologically and conceptually challenging combinations of software. Here, we describe a comprehensive protocol that enables complex raw human iEEG data to be converted into more readily comprehensible illustrative representations. The protocol uses an open-source toolbox for electrophysiological data analysis (FieldTrip). This allows iEEG researchers to build on a continuously growing body of scriptable and reproducible analysis methods that, over the past decade, have been developed and used by a large research community. In this protocol, we describe how to analyze complex iEEG datasets by providing an intuitive and rapid approach that can handle both neuroanatomical information and large electrophysiological datasets. We provide a worked example using an example dataset. We also explain how to automate the protocol and adjust the settings to enable analysis of iEEG datasets with other characteristics. The protocol can be implemented by a graduate student or postdoctoral fellow with minimal MATLAB experience and takes approximately an hour to execute, excluding the automated cortical surface extraction.

Published
2018

20. The Human Connectome Project: A retrospective

Author

Elam, Jennifer Stine, Glasser, Matthew F., Harms, Michael P., Sotiropoulos, Stamatios N., Andersson, Jesper L.R., Burgess, Gregory C., Curtiss, Sandra W., Oostenveld, Robert, Larson-Prior, Linda J., Schoffelen, Jan-Mathijs, Hodge, Michael R., Cler, Eileen A., Marcus, Daniel M., Barch, Deanna M., Yacoub, Essa, Smith, Stephen M., Ugurbil, Kamil, and Van Essen, David C.

Published
2021
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22. #EEGManyLabs: Investigating the replicability of influential EEG experiments

Author

Pavlov, Yuri G., Adamian, Nika, Appelhoff, Stefan, Arvaneh, Mahnaz, Benwell, Christopher S.Y., Beste, Christian, Bland, Amy R., Bradford, Daniel E., Bublatzky, Florian, Busch, Niko A., Clayson, Peter E., Cruse, Damian, Czeszumski, Artur, Dreber, Anna, Dumas, Guillaume, Ehinger, Benedikt, Ganis, Giorgio, He, Xun, Hinojosa, José A., Huber-Huber, Christoph, Inzlicht, Michael, Jack, Bradley N., Johannesson, Magnus, Jones, Rhiannon, Kalenkovich, Evgenii, Kaltwasser, Laura, Karimi-Rouzbahani, Hamid, Keil, Andreas, König, Peter, Kouara, Layla, Kulke, Louisa, Ladouceur, Cecile D., Langer, Nicolas, Liesefeld, Heinrich R., Luque, David, MacNamara, Annmarie, Mudrik, Liad, Muthuraman, Muthuraman, Neal, Lauren B., Nilsonne, Gustav, Niso, Guiomar, Ocklenburg, Sebastian, Oostenveld, Robert, Pernet, Cyril R., Pourtois, Gilles, Ruzzoli, Manuela, Sass, Sarah M., Schaefer, Alexandre, Senderecka, Magdalena, Snyder, Joel S., Tamnes, Christian K., Tognoli, Emmanuelle, van Vugt, Marieke K., Verona, Edelyn, Vloeberghs, Robin, Welke, Dominik, Wessel, Jan R., Zakharov, Ilya, and Mushtaq, Faisal

Published
2021
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25. The impact of CSF‐filled cavities on scalp EEG and its implications.

Author

Piai, Vitória, Oostenveld, Robert, Schoffelen, Jan Mathijs, and Piastra, Maria Carla

Abstract

Previous studies have found electroencephalogram (EEG) amplitude and scalp topography differences between neurotypical and neurological/neurosurgical groups, being interpreted at the cognitive level. However, these comparisons are invariably accompanied by anatomical changes. Critical to EEG are the so‐called volume currents, which are affected by the spatial distribution of the different tissues in the head. We investigated the effect of cerebrospinal fluid (CSF)‐filled cavities on simulated EEG scalp data. We simulated EEG scalp potentials for known sources using different volume conduction models: a reference model (i.e., unlesioned brain) and models with realistic CSF‐filled cavities gradually increasing in size. We used this approach for a single source close or far from the CSF‐lesion cavity, and for a scenario with a distributed configuration of sources (i.e., a “cognitive event‐related potential effect”). The magnitude and topography errors between the reference and lesion models were quantified. For the single‐source simulation close to the lesion, the CSF‐filled lesion modulated signal amplitude with more than 17% magnitude error and topography with more than 9% topographical error. Negligible modulation was found for the single source far from the lesion. For the multisource simulations of the cognitive effect, the CSF‐filled lesion modulated signal amplitude with more than 6% magnitude error and topography with more than 16% topography error in a nonmonotonic fashion. In conclusion, the impact of a CSF‐filled cavity cannot be neglected for scalp‐level EEG data. Especially when group‐level comparisons are made, any scalp‐level attenuated, aberrant, or absent effects are difficult to interpret without considering the confounding effect of CSF. [ABSTRACT FROM AUTHOR]

Published
2024
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28. International Federation of Clinical Neurophysiology (IFCN) – EEG research workgroup: Recommendations on frequency and topographic analysis of resting state EEG rhythms. Part 1: Applications in clinical research studies

Author

Babiloni, Claudio, Barry, Robert J., Başar, Erol, Blinowska, Katarzyna J., Cichocki, Andrzej, Drinkenburg, Wilhelmus H.I.M., Klimesch, Wolfgang, Knight, Robert T., Lopes da Silva, Fernando, Nunez, Paul, Oostenveld, Robert, Jeong, Jaeseung, Pascual-Marqui, Roberto, Valdes-Sosa, Pedro, and Hallett, Mark

Published
2020
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30. How to assess the accuracy of volume conduction models? A validation study with stereotactic EEG data.

Author

Piastra, Maria Carla, Oostenveld, Robert, Homölle, Simon, Biao Han, Qi Chen, and Oostendorp, Thom

Subjects
ELECTROENCEPHALOGRAPHY, ELECTRIC stimulation, DEEP brain stimulation, FINITE element method, BRAIN stimulation, MATHEMATICAL models
Abstract

Introduction: Volume conductionmodels of the human head are used in various neuroscience fields, such as for source reconstruction in EEG and MEG, and for modeling the effects of brain stimulation. Numerous studies have quantified the accuracy and sensitivity of volume conductionmodels by analyzing the effects of the geometrical and electrical features of the head model, the sensor model, the sourcemodel, and the numericalmethod. Most studies are based on simulations as it is hard to obtain sufficiently detailed measurements to compare to models. The recording of stereotactic EEG during electric stimulation mapping provides an opportunity for such empirical validation. Methods: In the study presented here, we used the potential distribution of volume-conducted artifacts that are due to cortical stimulation to evaluate the accuracy of finite element method (FEM) volume conduction models. We adopted a widely used strategy for numerical comparison, i.e., we fixed the geometrical description of the head model and the mathematical method to performsimulations, and we gradually altered the headmodels, by increasing the level of detail of the conductivity profile. We compared the simulated potentials at different levels of refinement with the measured potentials in three epilepsy patients. Results: Our results show that increasing the level of detail of the volume conduction head model only marginally improves the accuracy of the simulated potentials when compared to in-vivo sEEG measurements. The mismatch between measured and simulated potentials is, throughout all patients and models, maximally 40 microvolts (i.e., 10% relative error) in 80% of the stimulation-recording combination pairs and it is modulated by the distance between recording and stimulating electrodes. Discussion: Our study suggests that commonly used strategies used to validate volume conduction models based solely on simulations might give an overly optimistic idea about volume conduction model accuracy. We recommend more empirical validations to be performed to identify those factors in volume conduction models that have the highest impact on the accuracy of simulated potentials. We share the dataset to allow researchers to further investigate the mismatch between measurements and FEM models and to contribute to improving volume conduction models. [ABSTRACT FROM AUTHOR]

Published
2024
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36. ARTEM-IS for ERP: Agreed Reporting Template for EEG Methodology -International Standard for documenting studies on Event-Related Potentials

Author

Stekić, Katarina, Šoškić, Anđela, Vanja, Ković, Algermissen, Johannes, Fischer, Nastassja L., Ganis, Giorgio, Gau, Remi, Niso, Guiomar, Oostenveld, Robert, Pajić, Dejan, Paul, Mariella, Pavlov, Yuri, Yang, Yu-Fang, Styles, Suzy J, Stekić, Katarina, Šoškić, Anđela, Vanja, Ković, Algermissen, Johannes, Fischer, Nastassja L., Ganis, Giorgio, Gau, Remi, Niso, Guiomar, Oostenveld, Robert, Pajić, Dejan, Paul, Mariella, Pavlov, Yuri, Yang, Yu-Fang, and Styles, Suzy J

Abstract

Given that the choices made during recording, preprocessing and analysis of event-related potentials (ERP) data can affect study outcomes, it is critical that they are transparently reported to allow for reproducibility and replicability. Yet, systematic reviews of reporting practices in the field have shown that journal articles do not meet this goal and that guidelines for writing them better have not resulted in a sufficient improvement to reporting transparency.ARTEM-IS aims to address this issue by building dynamic, interactive web applications that support documenting information required by existing publication guidelines in the form of a standardised metadata template. Completing an ARTEM-IS form results in a human-reader-friendly PDF and a machine-readable JSON summary of methodological information, which allows for a level of reporting precision higher than what is typically found in journal articles. These can be used as supplements to a publication, as a memory aid when writing a paper, or as records that allow easier metadata extraction in comparison to verbal descriptions in papers.Here, we present the ARTEM-IS for ERP, which supports describing a typical ERP study, including most of its core methodological aspects (study description, experimental design, hardware, data acquisition, pre-processing, measurement, visualisation, additional comments). We discuss the current contents of the form, web application functionalities, current limitations, and potential directions for future developments. In addition, the process of building the form contents and the web application through a collaborative grassroots initiative is described. Finally, we argue that a wider adoption of ARTEM-IS can bring benefits to different stakeholders: researchers themselves or their collaborators, especially on large-scale projects, reviewers, readers of a paper, and the scientific community at large.

Published
2023

37. The Past, Present, and Future of the Brain Imaging Data Structure (BIDS)

Author

National Institutes of Health (US), National Science Foundation (US), Novo Nordisk Foundation, European Research Council, German Research Foundation, Charité - Universitätsmedizin Berlin, Agence Nationale de la Recherche (France), Poldrack, Russell A., Markiewicz, Christopher J., Appelhoff, Stefan, Ashar, Yoni K., Auer, Tibor, Baillet, Sylvain, Bansal, Shashank, Beltrachini, Leandro, Benar, Christian G., Bertazzoli, Giacomo, Bhogawar, Suyash, Laird, Angela R., Lau, Jonathan C., Lazari, Alberto, Legarreta, Jon Haitz, Li, Adam, Li, Xiangrui, Love, Bradley C., Lu, Hanzhang, Maumet, Camille, Mazzamuto, Giacomo, Nikolaidis, Aki, Meisler, Steven L., Mikkelsen, Mark, Mutsaerts, Henk, Nichols, Thomas E., Nilsonne, Gustav, Niso, Guiomar, Norgaard, Martin, Okell, Thomas W, Oostenveld, Robert, Ort, Eduard, Park, Patrick J., Pawlik, Mateusz, Pernet, Cyril R., Pollonini, Luca, Pestilli, Franco, Petr, Jan, Phillips, Christophe, Poline, Jean-Baptiste, Reddy Raamana, Pradeep, Ritter, Petra, Rizzo, Gaia, Robbins, Kay A., Rockhill, Alexander P., Rogers, Christine, Rokem, Ariel, Rorden, Chris, Routier, Alexandre, Spisak, Tamas, Saborit-Torres, Jose Manuel, Salo, Taylor, Schirner, Michael, Smith, Robert E., Sprenger, Julia, Swann, Nicole C., Szinte, Martin, Takerkart, Sylvain, Thirion, Bertrand, Thomas, Adam G., Torabian, Sajjad, Varoquaux, Gael, Voytek, Bradley, Blair, Ross W., Welzel, Julius, Wilson, Martin, Yarkoni, Tal, Gorgolewski, Krzysztof J., Bortoletto, Marta, Boudreau, Mathieu, Brooks, Teon L., Calhoun, Vince D., Castelli, Filippo Maria, Clement, Patricia, Cohen, Alexander L, Cohen-Adad, Julien, D'Ambrosio, Sasha, Hollander, D'Ambrosio, iglesia-Vayá, María de la, Vega, Alejandro de la, Delorme, Arnaud, Devinsky, Orrin, Draschkow, Dejan, Paul Duff, Eugene, DuPre, Elizabeth, Earl, Eric, Esteban, Oscar, Feingold, Franklin W., Flandin, Guillaume, Galassi, Anthony, Gallitto, Giuseppe, Ganz, Melanie, Gau, Rémi, Gholam, James, Ghosh, Satrajit S., Giacomel, Alessio, Gillman, Ashley G, Gleeson, Padraig, Gramfort, Alexandre, Guay, Samuel, Guidali, Giacomo, Halchenko, Yaroslav O., Handwerker, Daniel A., Hardcastle, Nell, Herholz, Peer, Hermes, Dora, Honey, Christopher J., Innis, Robert B., Loanas, Horea-Ioan, Jahn, Andrew, Karakuzu, Agah, Keator, David B., Kiar, Gregory, Kincses, Balint, National Institutes of Health (US), National Science Foundation (US), Novo Nordisk Foundation, European Research Council, German Research Foundation, Charité - Universitätsmedizin Berlin, Agence Nationale de la Recherche (France), Poldrack, Russell A., Markiewicz, Christopher J., Appelhoff, Stefan, Ashar, Yoni K., Auer, Tibor, Baillet, Sylvain, Bansal, Shashank, Beltrachini, Leandro, Benar, Christian G., Bertazzoli, Giacomo, Bhogawar, Suyash, Laird, Angela R., Lau, Jonathan C., Lazari, Alberto, Legarreta, Jon Haitz, Li, Adam, Li, Xiangrui, Love, Bradley C., Lu, Hanzhang, Maumet, Camille, Mazzamuto, Giacomo, Nikolaidis, Aki, Meisler, Steven L., Mikkelsen, Mark, Mutsaerts, Henk, Nichols, Thomas E., Nilsonne, Gustav, Niso, Guiomar, Norgaard, Martin, Okell, Thomas W, Oostenveld, Robert, Ort, Eduard, Park, Patrick J., Pawlik, Mateusz, Pernet, Cyril R., Pollonini, Luca, Pestilli, Franco, Petr, Jan, Phillips, Christophe, Poline, Jean-Baptiste, Reddy Raamana, Pradeep, Ritter, Petra, Rizzo, Gaia, Robbins, Kay A., Rockhill, Alexander P., Rogers, Christine, Rokem, Ariel, Rorden, Chris, Routier, Alexandre, Spisak, Tamas, Saborit-Torres, Jose Manuel, Salo, Taylor, Schirner, Michael, Smith, Robert E., Sprenger, Julia, Swann, Nicole C., Szinte, Martin, Takerkart, Sylvain, Thirion, Bertrand, Thomas, Adam G., Torabian, Sajjad, Varoquaux, Gael, Voytek, Bradley, Blair, Ross W., Welzel, Julius, Wilson, Martin, Yarkoni, Tal, Gorgolewski, Krzysztof J., Bortoletto, Marta, Boudreau, Mathieu, Brooks, Teon L., Calhoun, Vince D., Castelli, Filippo Maria, Clement, Patricia, Cohen, Alexander L, Cohen-Adad, Julien, D'Ambrosio, Sasha, Hollander, D'Ambrosio, iglesia-Vayá, María de la, Vega, Alejandro de la, Delorme, Arnaud, Devinsky, Orrin, Draschkow, Dejan, Paul Duff, Eugene, DuPre, Elizabeth, Earl, Eric, Esteban, Oscar, Feingold, Franklin W., Flandin, Guillaume, Galassi, Anthony, Gallitto, Giuseppe, Ganz, Melanie, Gau, Rémi, Gholam, James, Ghosh, Satrajit S., Giacomel, Alessio, Gillman, Ashley G, Gleeson, Padraig, Gramfort, Alexandre, Guay, Samuel, Guidali, Giacomo, Halchenko, Yaroslav O., Handwerker, Daniel A., Hardcastle, Nell, Herholz, Peer, Hermes, Dora, Honey, Christopher J., Innis, Robert B., Loanas, Horea-Ioan, Jahn, Andrew, Karakuzu, Agah, Keator, David B., Kiar, Gregory, and Kincses, Balint

Abstract

The Brain Imaging Data Structure (BIDS) is a community-driven standard for the organization of data and metadata from a growing range of neuroscience modalities. This paper is meant as a history of how the standard has developed and grown over time. We outline the principles behind the project, the mechanisms by which it has been extended, and some of the challenges being addressed as it evolves. We also discuss the lessons learned through the project, with the aim of enabling researchers in other domains to learn from the success of BIDS.

Published
2023

39. ARTEM-IS for ERP: Agreed Reporting Template for EEG Methodology - International Standard for documenting studies on Event-Related Potentials

Author

Šoškić, Anđela, primary, Kovic, Vanja, additional, Algermissen, Johannes, additional, Fischer, Nastassja Lopes, additional, Ganis, Giorgio, additional, Gau, Remi, additional, Niso, Guiomar, additional, Oostenveld, Robert, additional, Pajić, Dejan, additional, Paul, Mariella, additional, Pavlov, Yuri G., additional, Stekić, Katarina, additional, Yang, Yu-Fang, additional, and Styles, Suzy J, additional

Published
2023
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42. Introduction to the shared near infrared spectroscopy format

Author

Tucker, Stephen, primary, Dubb, Jay, additional, Kura, Sreekanth, additional, von Lühmann, Alexander, additional, Franke, Robert, additional, Horschig, Jörn M., additional, Powell, Samuel, additional, Oostenveld, Robert, additional, Lührs, Michael, additional, Delaire, Édouard, additional, Aghajan, Zahra M., additional, Yun, Hanseok, additional, Yücel, Meryem A., additional, Fang, Qianqian, additional, Huppert, Theodore J., additional, Frederick, Blaise B., additional, Pollonini, Luca, additional, Boas, David, additional, and Luke, Robert, additional

Published
2022
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43. Brainhack: developing a culture of open, inclusive, community-driven neuroscience

Author

Gau, Remi, Noble, Stephanie, Heuer, Katja, Bottenhorn, Katherine, Bilgin, Isil, Yang, Yu-Fang, Huntenburg, Julia, Bayer, Johanna, Bethlehem, Richard, Rhoads, Shawn, Vogelbacher, Christoph, Borghesani, Valentina, Levitis, Elizabeth, Wang, Hao-Ting, Van Den Bossche, Sofie, Kobeleva, Xenia, Legarreta Gorroño, Jon Haitz, Guay, Samuel, ATAY, Melvin, Varoquaux, Gael, Huijser, Dorien, Sandström, Malin, Herholz, Peer, Nastase, Samuel, Badhwar, AmanPreet, Dumas, Guillaume, Schwab, Simon, Moia, Stefano, Dayan, Michael, Bassil, Yasmine, Brooks, Paula, Mancini, Matteo, Shine, James, O'Connor, David, Xie, Xihe, Poggiali, Davide, Friedrich, Patrick, Heinsfeld, Anibal, Riedl, Lydia, Toro, Roberto, Caballero-Gaudes, César, Eklund, Anders, Garner, Kelly, Nolan, Christopher, Demeter, Damion, Barrios, Fernando, Merchant, Junaid, McDevitt, Elizabeth, Oostenveld, Robert, Craddock, Cameron, Rokem, Ariel, Doyle, Andrew, Esper, Nathalia, Ghosh, Satrajit, Langs, Georg, Nikolaidis, Aki, Stanley, Olivia, Uruñuela, Eneko, Vohryzek, Jakub, and community, Brainhack

Subjects
neuroscience, inclusivity, training, hackathon, open science, best practices, Brainhack, reproducibility, collaboration, community building
Abstract

Brainhack is an innovative meeting format that promotes scientific collaboration and education in an open and inclusive environment. Departing from the formats of typical scientific workshops, these events are based on grassroots projects and training, and foster open and reproducible scientific practices. We describe here the multifaceted, lasting benefits of Brainhacks for individual participants, particularly early career researchers. We further highlight the unique contributions that Brainhacks can make to the research community, contributing to scientific progress by complementing opportunities available in conventional formats.

Published
2022
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45. HRV biofeedback training in an active Virtual Reality decision-making game: Can it be trained?

Author

Michela, Abele, van Peer, Jacobien, Brammer, Jan, Oostenveld, Robert, Dorrestijn, Wendy, Smit, Annika, Klumpers, Floris, Roelofs, Karin, and Granic, Isabela

Subjects
VR, Breathing, Learning transfer, HRV, Biofeedback, Police training, Social and Behavioral Sciences, Education
Abstract

The present preregistration describes a study for which data was collected between April and June 2021. The data has not been analyzed yet. The overarching goal of this study was to test the effectiveness of a VR-based biofeedback (BFB) training for police officers. The training aims to improve control of Heart-Rate variability (HRV) in an active and immersive VR context, in which police officers make shooting decisions under threat. The unique novel aspect of the study is that BFB training is integrated in an active decision-making context. Our first aim is to validate whether the VR training environment is indeed arousal-inducing and evokes the expected in-game behavior. To this end, we will compare the VR environment and a baseline assessment with respect to Heart-Rate (HR) changes and self-reported stress responses. Additionally, we will investigate the effect of behavioral priming on in-game shoot-don’t shoot decisions. The second aim is to investigate the effectiveness of the training. Therefore, we compare an experimental group (who received the training) with a control group (who did not receive the training but played the VR game once) with respect to in-game psychophysiological, behavioral and self-report data. We additionally investigated if biofeedback delivered in action was the causal mechanism explaining an improvement by changing the order in which participants in the experimental group receive the first biofeedback session in VR. Last for this aim, we investigate if the training has an effect on the feeling of self-efficacy and physiological awareness. Our third aim was to assess whether acquired HRV regulation skills would transfer to a police-relevant independent arousing decision-making context, outside of the game. To this end the experimental and control groups were compared with respect to HRV and shoot/don’t shoot decisions during a simulation exercise inspired by the dispatch priming task of Taylor (2020) that served as an independent transfer task, administered after the final game session. Below we only give an overview of the design and outcome measures of the current dataset, for details on the rationale and methods see previous reports (Brammer et al., 2021; Michela et al., 2022).

Published
2022
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