Cecile D. Ladouceur

Prof. Cecile D. Ladouceur

Department of Psychiatry, University of Pittsburgh, Pittsburgh, United States

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 October 2007 in Developmental Science
Verified
Journal Article
Closed access
PDF file
Cecile D. LadouceurCecile D. Ladouceur
Cecile D. Ladouceur
RDRonald E. Dahl
Ronald E. Dahl
CCCameron S. Carter
Cameron S. Carter

26 October 2006 in Journal of Child Psychology and Psychiatry
Verified
Journal Article
Closed access
PDF file
Cecile D. LadouceurCecile D. Ladouceur
Cecile D. Ladouceur
RDRonald E. Dahl
Ronald E. Dahl
BBBoris Birmaher
Boris Birmaher
DADavid A. Axelson
David A. Axelson
NRNeal D. Ryan
Neal D. Ryan

1 January 2012 in Developmental Cognitive Neuroscience
Verified
Journal Article
Closed access
Cecile D. LadouceurCecile D. Ladouceur
Cecile D. Ladouceur
JPJiska S. Peper
Jiska S. Peper
ECEveline A. Crone
Eveline A. Crone
RDRonald E. Dahl
Ronald E. Dahl

1 November 2021 in Cortex
Verified
Journal Article
Open access
YPYuri G. Pavlov
Yuri G. Pavlov
NANika Adamian
Nika Adamian
SAStefan Appelhoff
Stefan Appelhoff
MAMahnaz Arvaneh
Mahnaz Arvaneh
CBChristopher S.Y. Benwell
Christopher S.Y. Benwell
FMFaisal Mushtaq
Faisal Mushtaq
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 electroencephalography (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 influence on our understanding of human cognition, but there is limited evidence on the replicability of some of the most highly cited discoveries. After a systematic search and selection process, we have identified 27 of the most influential and continually cited studies in the field. We plan to directly test the replicability of key findings from 20 of these studies in teams of at least three independent laboratories. The design and protocol of each replication effort will be submitted as a Registered Report and peer-reviewed prior to data collection. Prediction markets, open to all EEG researchers, will be used as a forecasting tool to examine which findings the community expects to replicate. This project will update our confidence in some of the most influential EEG findings and generate a large open access database that can be used to inform future research practices. Finally, through this international effort, we hope to create a cultural shift towards inclusive, high-powered multi-laboratory collaborations.

1 April 2005 in Journal of Abnormal Child Psychology
Verified
Journal Article
Closed access
PDF file
Cecile D. LadouceurCecile D. Ladouceur
Cecile D. Ladouceur
RDRonald E. Dahl
Ronald E. Dahl
DWDouglas E. Williamson
Douglas E. Williamson
BBBoris Birmaher
Boris Birmaher
NRNeal D. Ryan
Neal D. Ryan
BCB. J. Casey
B. J. Casey

1 May 2008 in Journal of the American Academy of Child & Adolescent Psychiatry
Verified
Journal Article
Closed access
PDF file
Cecile D. LadouceurCecile D. Ladouceur
Cecile D. Ladouceur
JAJorge R.C. Almeida
Jorge R.C. Almeida
BBBoris Birmaher
Boris Birmaher
DADavid A. Axelson
David A. Axelson
SNSharon Nau
Sharon Nau
MPMary L. Phillips
Mary L. Phillips