0000000000282545

AUTHOR

Christian K. Tamnes

showing 3 related works from this author

#EEGManyLabs

2021

There is growing awareness across the neuroscience community that the replicability of findings about the relationship between brain activity and cognitive phenomena can be improved by conducting studies with high statistical power that adhere to well-defined and standardised analysis pipelines. Inspired by recent efforts from the psychological sciences, and with the desire to examine some of the foundational findings using electroencephalog-raphy (EEG), we have launched #EEGManyLabs, a large-scale international collaborative replication effort. Since its discovery in the early 20th century, EEG has had a profound in-fluence on our understanding of human cognition, but there is limited evid…

DYNAMICSOpen sciencePREDICTIONNEUROSCIENCESSocial SciencesREPRODUCIBILITY OF RESULTSELECTROENCEPHALOGRAMField (computer science)cognitive neuroscienceCognitionMAGNITUDE0302 clinical medicineREPRODUCIBILITYopen sciencePsychologyEEGPsychology Experimental05 social sciencesHUMANElectroencephalographyHUMANSCognitionTest (assessment)Neuropsychology and Physiological PsychologyNEUROSCIENCERELIABILITYELECTROENCEPHALOGRAPHYPsychologyLife Sciences & BiomedicineBehavioral SciencesERPreplicationHUMAN EXPERIMENTProcess (engineering)Cognitive NeuroscienceExperimental and Cognitive PsychologyCognitive neuroscience050105 experimental psychology03 medical and health sciencesFORECASTINGHumans0501 psychology and cognitive sciencesARTICLEProtocol (science)Science & TechnologyData collectionNeurosciencesATTENTIONReproducibility of ResultsMOTIVATIONData scienceCONTROLLED STUDYSAMPLE-SIZECOGNITIONmany labsNeurosciences & NeurologyREFLECTS030217 neurology & neurosurgeryCortex
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What we learn about bipolar disorder from large-scale neuroimaging

2020

Abstract MRI‐derived brain measures offer a link between genes, the environment and behavior and have been widely studied in bipolar disorder (BD). However, many neuroimaging studies of BD have been underpowered, leading to varied results and uncertainty regarding effects. The Enhancing Neuro Imaging Genetics through Meta‐Analysis (ENIGMA) Bipolar Disorder Working Group was formed in 2012 to empower discoveries, generate consensus findings and inform future hypothesis‐driven studies of BD. Through this effort, over 150 researchers from 20 countries and 55 institutions pool data and resources to produce the largest neuroimaging studies of BD ever conducted. The ENIGMA Bipolar Disorder Workin…

mega-analysisStress-related disorders Donders Center for Medical Neuroscience [Radboudumc 13]cortical surface areaReview Article0302 clinical medicineManic-depressive illnessMulticenter Studies as TopicSpectrum disorderReview Articlesbipolar disorderCerebral CortexTrastorn bipolarneuroimagingRadiological and Ultrasound Technology05 social sciencesENIGMAHUMAN BRAINMagnetic Resonance Imagingpsychiatry3. Good healthNeurologyMeta-analysisScale (social sciences)AnatomyPsychologyClinical risk factorClinical psychologyMRIMAJOR PSYCHIATRIC-DISORDERSSchizoaffective disorder050105 experimental psychology03 medical and health sciencesMagnetic resonance imagingNeuroimagingMeta-Analysis as TopicSDG 3 - Good Health and Well-beingImatges per ressonància magnèticamedicineHumans0501 psychology and cognitive sciencesRadiology Nuclear Medicine and imagingBipolar disorderHIPPOCAMPAL VOLUMESmega‐analysisGRAY-MATTER VOLUMESPECTRUM DISORDERvolumeDIABETES-MELLITUScortical thicknessCOGNITIVE IMPAIRMENTmedicine.diseaseMental illnessmeta-analysismeta‐analysisRC0321Neurology (clinical)SCHIZOAFFECTIVE DISORDERPSYCHOTIC FEATURES030217 neurology & neurosurgeryHuman Brain Mapping
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The Psychological Science Accelerator’s COVID-19 rapid-response dataset

2023

Funder: Amazon Web Services (AWS) Imagine Grant

Statistics and Probability223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore copingBF Psychology230 Affective NeuroscienceHealth Behaviorand demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73Message framingDiseasesLibrary and Information Sciences:Ciências Sociais::Psicologia [Domínio/Área Científica]geographical and cultural context characterizationHV Social pathology. Social and public welfare. CriminologypandemiatEducationa general questionnaire examining health prevention behaviors and COVID-19 experienceddc:150SDG 3 - Good Health and Well-beingRA0421 Public health. Hygiene. Preventive MedicineSurveys and QuestionnairesAdaptation PsychologicalyleiskartoituksetHumansPendienteHealth behaviorsPandemicsframingBehaviour Change and Well-beingEmotion regulationSelf-determination messagingand self-determination across a diverseCOVID-19kansainvälinen vertailuResearch dataComputer Science Applicationswhich can be merged with other time-sampled or geographic data.cognitive reappraisalsglobal sample obtained at the onset of the COVID-19 pandemicterveyskäyttäytyminenIn response to the COVID-19 pandemic/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingand autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental studyStatistics Probability and UncertaintyPeople’s healthtutkimusaineistosurvey-tutkimusDatasetInformation Systemsthe Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing
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