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Honeycomb: a template for reproducible psychophysiological tasks for clinic, laboratory, and home use.
Provenza, Nicole R; Gelin, Luiz Fernando Fracassi; Mahaphanit, Wasita; McGrath, Mary C; Dastin-van Rijn, Evan M; Fan, Yunshu; Dhar, Rashi; Frank, Michael J; Restrepo, Maria I; Goodman, Wayne K; Borton, David A.
Afiliação
  • Provenza NR; Brown University School of Engineering, Providence, RI, USA.
  • Gelin LFF; Charles Stark Draper Laboratory, Cambridge, MA, USA.
  • Mahaphanit W; Center for Computation and Visualization, Brown University, Providence, RI, USA.
  • McGrath MC; Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI, USA.
  • Dastin-van Rijn EM; Carney Institute for Brain Science, Brown University, Providence, RI, USA.
  • Fan Y; Center for Computation and Visualization, Brown University, Providence, RI, USA.
  • Dhar R; Brown University School of Engineering, Providence, RI, USA.
  • Frank MJ; Brown University School of Engineering, Providence, RI, USA.
  • Restrepo MI; Center for Computation and Visualization, Brown University, Providence, RI, USA.
  • Goodman WK; Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI, USA.
  • Borton DA; Carney Institute for Brain Science, Brown University, Providence, RI, USA.
Braz J Psychiatry ; 44(2): 147-155, 2022.
Article em En | MEDLINE | ID: mdl-34320125
OBJECTIVE: To improve the ability of psychiatry researchers to build, deploy, maintain, reproduce, and share their own psychophysiological tasks. Psychophysiological tasks are a useful tool for studying human behavior driven by mental processes such as cognitive control, reward evaluation, and learning. Neural mechanisms during behavioral tasks are often studied via simultaneous electrophysiological recordings. Popular online platforms such as Amazon Mechanical Turk (MTurk) and Prolific enable deployment of tasks to numerous participants simultaneously. However, there is currently no task-creation framework available for flexibly deploying tasks both online and during simultaneous electrophysiology. METHODS: We developed a task creation template, termed Honeycomb, that standardizes best practices for building jsPsych-based tasks. Honeycomb offers continuous deployment configurations for seamless transition between use in research settings and at home. Further, we have curated a public library, termed BeeHive, of ready-to-use tasks. RESULTS: We demonstrate the benefits of using Honeycomb tasks with a participant in an ongoing study of deep brain stimulation for obsessive compulsive disorder, who completed repeated tasks both in the clinic and at home. CONCLUSION: Honeycomb enables researchers to deploy tasks online, in clinic, and at home in more ecologically valid environments and during concurrent electrophysiology.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtorno Obsessivo-Compulsivo Tipo de estudo: Guideline Limite: Humans Idioma: En Revista: Braz J Psychiatry Assunto da revista: PSIQUIATRIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Brasil
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtorno Obsessivo-Compulsivo Tipo de estudo: Guideline Limite: Humans Idioma: En Revista: Braz J Psychiatry Assunto da revista: PSIQUIATRIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Brasil