686 research outputs found
NARPS Results
No full textResults saved from analysis of Neuroimaging Analysis Replication and Prediction Study. Obtained from CircleCI Build #334 at https://334-85984198-gh.circle-artifacts.com/0/tmp/data/results.tgz</p
NARPS Results
No full textResults saved from analysis of Neuroimaging Analysis Replication and Prediction Study. Obtained from CircleCI Build #326 at https://326-85984198-gh.circle-artifacts.com/0/tmp/data/results.tgz</p
Recommended from our members
Science Study Break - Autoexperimentation
No full textLocation: UT Student Activity Center, 1.402 -- Speaker: Dr. Russell -- PoldrackAutoexperimentation.Dr. Russell Poldrack (Imaging Research Center) discusses research ethics and self-experimentation in science, as shown in movies like The Fly, Spider-man, and X-Men, and describes his own self-experiment - the "Russ-ome" Project.About Science Study Break: Take a break from the books and join UT researchers for cookies, chips, and chat about popular movies and TV shows that deal with science topics.
Many viewers uncritically accept scientific information presented in movies or on TV. That may be good in the case of a medical organization broadening viewers’ knowledge by using entertainment-education—for example, embedding information about breast cancer in the storyline of a telenovela. But that may be bad when “science” unconsciously absorbed from popular programming affects citizens’ considerations of public policy issues.
In each program of this occasional series, you’ll hear faculty members discuss realms of scientific possibility, evaluate presentations of science in popular culture, or mercilessly mock bad science and worse screenwriting. You’ll also sharpen your Bad Science Detector and discover library resources you can use to check the facts.
Science Study Break occurs twice each semester and is generously supported by the University Federal Credit Union.UT Librarie
FLUX Satellite 2018 - From Big Data to Big Knowledge
No full textSlides from talk by Russ Poldrack at 2018 FLUX Satellite meeting, May 7, 201
Discovering Relations Between Mind, Brain, and Mental Disorders Using Topic Mapping
No full textRussell A. Poldrack is with UT Austin, Jeanette A. Mumford is with UT Austin, Tom Schonberg is with UT Austin, Donald Kalar is with the NASA Ames Research Center, Bishal Barman is with UT Austin, Tal Yarkoni is with Colorado University.Neuroimaging research has largely focused on the identification of associations between brain activation and specific mental functions. Here we show that data mining techniques applied to a large database of neuroimaging results can be used to identify the conceptual structure of mental functions and their mapping to brain systems. This analysis confirms many current ideas regarding the neural organization of cognition, but also provides some new insights into the roles of particular brain systems in mental function. We further show that the same methods can be used to identify the relations between mental disorders. Finally, we show that these two approaches can be combined to empirically identify novel relations between mental disorders and mental functions via their common involvement of particular brain networks. This approach has the potential to discover novel endophenotypes for neuropsychiatric disorders and to better characterize the structure of these disorders and the relations between them.This work was supported by NIH grant RO1MH082795 (to RAP) and F32NR012081 (to TY) and by the Texas Emerging Technology Fund. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Psycholog
Reliability and Reproducibility in Functional Connectomics
No full textThis eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contac
Reliability and Reproducibility in Functional Connectomics
No full textThis eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contac
Introduction to the special issue on reproducibility in neuroimaging
No full textThe last decade has seen increasing attention to the problem of scientific reproducibility, across a broad range of scientific fields (Camerer et al., 2016;Morrison, 2014;Open Science Collaboration, 2015). Within the field of neuroimaging, there has been a particular focus on issues of analytic variability (Bowring et al., 2019;Carp, 2012) statistical power (Button et al., 2013;Poldrack et al., 2017), and test-retest reliability (Bennett and Miller, 2013), all of which have raised alarms regarding the potential for irreproducible results. In addition, failed replications (Boekel et al., 2015;Dinga et al., 2019) and meta-analytic null results (Müller et al., 2017) have raised particular concern about studies of group and individual differences. This special issue was developed in light of these emerging concerns, with the goal of highlighting and encouraging work that aims to both quantify and improve the reproducibility of neuroimaging research. Here we provide a brief overview of the papers within this special issue
NARPS Team Results for Analysis
No full textData submitted by all participants in the Neuroimaging Analysis Replication and Prediction Study, along with results from prediction markets and metadata for analysis pipelines.</p
Facilitating Memory for Novel Characters by Reducing Neural Repetition Suppression in the Left Fusiform Cortex
No full textGui Xue is with Beijing Normal University and University of Southern California, Leilei Mei is with Beijing Normal University and University of California Irvine, Chuansheng Chen is with University of California Irvine, Zhong-Lin Lu is with University of Southern California, Russell A. Poldrack is with UT Austin, Qi Dong is with Beijing Normal University.Background -- The left midfusiform and adjacent regions have been implicated in processing and memorizing familiar words, yet its role in memorizing novel characters has not been well understood. Methodology/Principal Findings -- Using functional MRI, the present study examined the hypothesis that the left midfusiform is also involved in memorizing novel characters and spaced learning could enhance the memory by enhancing the left midfusiform activity during learning. Nineteen native Chinese readers were scanned while memorizing the visual form of 120 Korean characters that were novel to the subjects. Each character was repeated four times during learning. Repetition suppression was manipulated by using two different repetition schedules: massed learning and spaced learning, pseudo-randomly mixed within the same scanning session. Under the massed learning condition, the four repetitions were consecutive (with a jittered inter-repetition interval to improve the design efficiency). Under the spaced learning condition, the four repetitions were interleaved with a minimal inter-repetition lag of 6 stimuli. Spaced learning significantly improved participants' performance during the recognition memory test administered one hour after the scan. Stronger left midfusiform and inferior temporal gyrus activities during learning (summed across four repetitions) were associated with better memory of the characters, based on both within- and cross-subjects analyses. Compared to massed learning, spaced learning significantly reduced neural repetition suppression and increased the overall activities in these regions, which were associated with better memory for novel characters. Conclusions/Significance -- These results demonstrated a strong link between cortical activity in the left midfusiform and memory for novel characters, and thus challenge the visual word form area (VWFA) hypothesis. Our results also shed light on the neural mechanisms of the spacing effect in memorizing novel characters.This study was supported by the Program for New Century Excellent Talents in University, the National Science Foundation (grant numbers BCS 0823624 and BCS 0823495), the National Institute of Health (grant number HD057884-01A2), and the 111 Project of China (B07008). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Psycholog
- …
