183 results on '"Brown, Scott D."'
Search Results
2. Bayesian Inference for Evidence Accumulation Models with Regressors
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Dao, Viet Hung, Gunawan, David, Kohn, Robert, Tran, Minh-Ngoc, Hawkins, Guy E., and Brown, Scott D.
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Statistics - Methodology ,Statistics - Applications - Abstract
Evidence accumulation models (EAMs) are an important class of cognitive models used to analyze both response time and response choice data recorded from decision-making tasks. Developments in estimation procedures have helped EAMs become important both in basic scientific applications and solution-focussed applied work. Hierarchical Bayesian estimation frameworks for the linear ballistic accumulator model (LBA) and the diffusion decision model (DDM) have been widely used, but still suffer from some key limitations, particularly for large sample sizes, for models with many parameters, and when linking decision-relevant covariates to model parameters. We extend upon previous work with methods for estimating the LBA and DDM in hierarchical Bayesian frameworks that include random effects which are correlated between people, and include regression-model links between decision-relevant covariates and model parameters. Our methods work equally well in cases where the covariates are measured once per person (e.g., personality traits or psychological tests) or once per decision (e.g., neural or physiological data). We provide methods for exact Bayesian inference, using particle-based MCMC, and also approximate methods based on variational Bayesian (VB) inference. The VB methods are sufficiently fast and efficient that they can address large-scale estimation problems, such as with very large data sets. We evaluate the performance of these methods in applications to data from three existing experiments. Detailed algorithmic implementations and code are freely available for all methods., Comment: 92 pages including supplement, 29 figures, 6 tables
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- 2023
3. How do you know that you don’t know?
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Gronau, Quentin F., Steyvers, Mark, and Brown, Scott D.
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- 2024
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4. Complete sequence verification of plasmid DNA using the Oxford Nanopore Technologies’ MinION device
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Brown, Scott D., Dreolini, Lisa, Wilson, Jessica F., Balasundaram, Miruna, and Holt, Robert A.
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- 2023
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5. Efficient Selection Between Hierarchical Cognitive Models: Cross-validation With Variational Bayes
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Dao, Viet-Hung, Gunawan, David, Tran, Minh-Ngoc, Kohn, Robert, Hawkins, Guy E., and Brown, Scott D.
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Statistics - Applications - Abstract
Model comparison is the cornerstone of theoretical progress in psychological research. Common practice overwhelmingly relies on tools that evaluate competing models by balancing in-sample descriptive adequacy against model flexibility, with modern approaches advocating the use of marginal likelihood for hierarchical cognitive models. Cross-validation is another popular approach but its implementation has remained out of reach for cognitive models evaluated in a Bayesian hierarchical framework, with the major hurdle being prohibitive computational cost. To address this issue, we develop novel algorithms that make variational Bayes (VB) inference for hierarchical models feasible and computationally efficient for complex cognitive models of substantive theoretical interest. It is well known that VB produces good estimates of the first moments of the parameters which gives good predictive densities estimates. We thus develop a novel VB algorithm with Bayesian prediction as a tool to perform model comparison by cross-validation, which we refer to as CVVB. In particular, the CVVB can be used as a model screening device that quickly identifies bad models. We demonstrate the utility of CVVB by revisiting a classic question in decision making research: what latent components of processing drive the ubiquitous speed-accuracy tradeoff? We demonstrate that CVVB strongly agrees with model comparison via marginal likelihood yet achieves the outcome in much less time. Our approach brings cross-validation within reach of theoretically important psychological models, and makes it feasible to compare much larger families of hierarchically specified cognitive models than has previously been possible., Comment: 35 pages, 8 figures
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- 2021
6. Do choice tasks and rating scales elicit the same judgments?
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Gronau, Quentin F., Bennett, Murray S., Brown, Scott D., Hawkins, Guy E., and Eidels, Ami
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- 2023
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7. Identifying relationships between cognitive processes across tasks, contexts, and time
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Wall, Laura, Gunawan, David, Brown, Scott D., Tran, Minh-Ngoc, Kohn, Robert, and Hawkins, Guy E.
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Statistics - Applications - Abstract
It is commonly assumed that a specific testing occasion (task, design, procedure, etc.) provides insights that generalise beyond that occasion. This assumption is infrequently carefully tested in data. We develop a statistically principled method to directly estimate the correlation between latent components of cognitive processing across tasks, contexts, and time. This method simultaneously estimates individual-participant parameters of a cognitive model at each testing occasion, group-level parameters representing across-participant parameter averages and variances, and across-task correlations. The approach provides a natural way to "borrow" strength across testing occasions, which can increase the precision of parameter estimates across all testing occasions. Two example applications demonstrate that the method is practical in standard designs. The examples, and a simulation study, also provide evidence about the reliability and validity of parameter estimates from the linear ballistic accumulator model. We conclude by highlighting the potential of the parameter-correlation method to provide an "assumption-light" tool for estimating the relatedness of cognitive processes across tasks, contexts, and time., Comment: 30 pages, 10 figures, 5 tables
- Published
- 2019
8. Time-evolving psychological processes over repeated decisions
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Gunawan, David, Hawkins, Guy E., Kohn, Robert, Tran, Minh-Ngoc, and Brown, Scott D.
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Statistics - Applications ,Statistics - Computation - Abstract
Many psychological experiments have subjects repeat a task to gain the statistical precision required to test quantitative theories of psychological performance. In such experiments, time-on-task can have sizable effects on performance, changing the psychological processes under investigation. Most research has either ignored these changes, treating the underlying process as static, or sacrificed some psychological content of the models for statistical simplicity. We use particle Markov chain Monte-Carlo methods to study psychologically plausible time-varying changes in model parameters. Using data from three highly-cited experiments we find strong evidence in favor of a hidden Markov switching process as an explanation of time-varying effects. This embodies the psychological assumption of "regime switching", with subjects alternating between different cognitive states representing different modes of decision-making. The switching model explains key long- and short-term dynamic effects in the data. The central idea of our approach can be applied quite generally to quantitative psychological theories, beyond the models and data sets that we investigate., Comment: 31 pages, 12 figures, 2 tables, 1 appendix
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- 2019
9. Robustly estimating the marginal likelihood for cognitive models via importance sampling
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Tran, Minh-Ngoc, Scharth, Marcel, Gunawan, David, Kohn, Robert, Brown, Scott D., and Hawkins, Guy E.
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Statistics - Computation ,Statistics - Applications - Abstract
Recent advances in Markov chain Monte Carlo (MCMC) extend the scope of Bayesian inference to models for which the likelihood function is intractable. Although these developments allow us to estimate model parameters, other basic problems such as estimating the marginal likelihood, a fundamental tool in Bayesian model selection, remain challenging. This is an important scientific limitation because testing psychological hypotheses with hierarchical models has proven difficult with current model selection methods. We propose an efficient method for estimating the marginal likelihood for models where the likelihood is intractable, but can be estimated unbiasedly. It is based on first running a sampling method such as MCMC to obtain samples for the model parameters, and then using these samples to construct the proposal density in an importance sampling (IS) framework with an unbiased estimate of the likelihood. Our method has several attractive properties: it generates an unbiased estimate of the marginal likelihood, it is robust to the quality and target of the sampling method used to form the IS proposals, and it is computationally cheap to estimate the variance of the marginal likelihood estimator. We also obtain the convergence properties of the method and provide guidelines on maximizing computational efficiency. The method is illustrated in two challenging cases involving hierarchical models: identifying the form of individual differences in an applied choice scenario, and evaluating the best parameterization of a cognitive model in a speeded decision making context. Freely available code to implement the methods is provided. Extensions to posterior moment estimation and parallelization are also discussed., Comment: 38 pages, 4 tables, 5 appendices
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- 2019
10. When Rating Systems Do Not Rate: Evaluating ERA's Performance
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Henman, Paul, Brown, Scott D., and Dennis, Simon
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In 2015, the Australian Government's Excellence in Research for Australia (ERA) assessment of research quality declined to rate 1.5 per cent of submissions from universities. The public debate focused on practices of gaming or "coding errors" within university submissions as the reason for this outcome. The issue was about the in/appropriate allocation of research activities to Fields of Research. This paper argues that such practices are only part of the explanation. With the support of statistical modelling, unrated outcomes are shown to have also arisen from particular evaluation practices within the discipline of Psychology and the associated Medical and Health Sciences Research Evaluation Committee. Given the high stakes nature of unrated outcomes and that the evaluation process breaches public administration principles by being not appealable nor appropriately transparent, the paper concludes with recommendations for the strengthening ERA policy and procedures to enhance trust in future ERA processes.
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- 2017
11. A large-scale analysis of task switching practice effects across the lifespan
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Steyvers, Mark, Hawkins, Guy E, Karayanidis, Frini, and Brown, Scott D
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Behavioral and Social Science ,Aging ,Basic Behavioral and Social Science ,Clinical Research ,1.2 Psychological and socioeconomic processes ,Underpinning research ,1.1 Normal biological development and functioning ,Generic health relevance ,Mental health ,Adult ,Aged ,Aged ,80 and over ,Cognition ,Female ,Humans ,Male ,Middle Aged ,Psychomotor Performance ,Reaction Time ,task switching ,cognitive control ,practice effects ,Bayesian modeling ,aging effects - Abstract
An important feature of human cognition is the ability to flexibly and efficiently adapt behavior in response to continuously changing contextual demands. We leverage a large-scale dataset from Lumosity, an online cognitive-training platform, to investigate how cognitive processes involved in cued switching between tasks are affected by level of task practice across the adult lifespan. We develop a computational account of task switching that specifies the temporal dynamics of activating task-relevant representations and inhibiting task-irrelevant representations and how they vary with extended task practice across a number of age groups. Practice modulates the level of activation of the task-relevant representation and improves the rate at which this information becomes available, but has little effect on the task-irrelevant representation. While long-term practice improves performance across all age groups, it has a greater effect on older adults. Indeed, extensive task practice can make older individuals functionally similar to less-practiced younger individuals, especially for cognitive measures that focus on the rate at which task-relevant information becomes available.
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- 2019
12. The Immune Landscape of Cancer
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Thorsson, Vésteinn, Gibbs, David L, Brown, Scott D, Wolf, Denise, Bortone, Dante S, Yang, Tai-Hsien Ou, Porta-Pardo, Eduard, Gao, Galen F, Plaisier, Christopher L, Eddy, James A, Ziv, Elad, Culhane, Aedin C, Paull, Evan O, Sivakumar, IK Ashok, Gentles, Andrew J, Malhotra, Raunaq, Farshidfar, Farshad, Colaprico, Antonio, Parker, Joel S, Mose, Lisle E, Vo, Nam Sy, Liu, Jianfang, Liu, Yuexin, Rader, Janet, Dhankani, Varsha, Reynolds, Sheila M, Bowlby, Reanne, Califano, Andrea, Cherniack, Andrew D, Anastassiou, Dimitris, Bedognetti, Davide, Mokrab, Younes, Newman, Aaron M, Rao, Arvind, Chen, Ken, Krasnitz, Alexander, Hu, Hai, Malta, Tathiane M, Noushmehr, Houtan, Pedamallu, Chandra Sekhar, Bullman, Susan, Ojesina, Akinyemi I, Lamb, Andrew, Zhou, Wanding, Shen, Hui, Choueiri, Toni K, Weinstein, John N, Guinney, Justin, Saltz, Joel, Holt, Robert A, Rabkin, Charles S, Network, The Cancer Genome Atlas Research, Caesar-Johnson, Samantha J, Demchok, John A, Felau, Ina, Kasapi, Melpomeni, Ferguson, Martin L, Hutter, Carolyn M, Sofia, Heidi J, Tarnuzzer, Roy, Wang, Zhining, Yang, Liming, Zenklusen, Jean C, Zhang, Jiashan, Chudamani, Sudha, Liu, Jia, Lolla, Laxmi, Naresh, Rashi, Pihl, Todd, Sun, Qiang, Wan, Yunhu, Wu, Ye, Cho, Juok, DeFreitas, Timothy, Frazer, Scott, Gehlenborg, Nils, Getz, Gad, Heiman, David I, Kim, Jaegil, Lawrence, Michael S, Lin, Pei, Meier, Sam, Noble, Michael S, Saksena, Gordon, Voet, Doug, Zhang, Hailei, Bernard, Brady, Chambwe, Nyasha, Knijnenburg, Theo, Kramer, Roger, Leinonen, Kalle, Miller, Michael, Reynolds, Sheila, Shmulevich, Ilya, Thorsson, Vesteinn, Zhang, Wei, Akbani, Rehan, and Broom, Bradley M
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Biomedical and Clinical Sciences ,Immunology ,Cancer Genome Atlas Research Network - Abstract
(Immunity 48, 812–830.e1–e14; April 17, 2018) In the originally published version of this article, the authors neglected to include Younes Mokrab and Aaron M. Newman as co-authors and misspelled the names of authors Charles S. Rabkin and Ilya Shmulevich. The author names have been corrected here and online. In addition, the concluding sentence of the subsection “Immune Signature Compilation” in the Method Details in the original published article was deemed unclear because it did not specify differences among the gene set scoring methods. The concluding sentences now reads “Gene sets from Bindea et al., Senbabaoglu et al., and the MSigDB C7 collection were scored using single-sample gene set enrichment (ssGSEA) analysis (Barbie et al., 2009), as implemented in the GSVA R package (Hänzelmann et al., 2013). All other signatures were scored using methods found in the associated citations.”
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- 2019
13. The Quality of Response Time Data Inference: A Blinded, Collaborative Assessment of the Validity of Cognitive Models
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Dutilh, Gilles, Annis, Jeffrey, Brown, Scott D, Cassey, Peter, Evans, Nathan J, Grasman, Raoul PPP, Hawkins, Guy E, Heathcote, Andrew, Holmes, William R, Krypotos, Angelos-Miltiadis, Kupitz, Colin N, Leite, Fábio P, Lerche, Veronika, Lin, Yi-Shin, Logan, Gordon D, Palmeri, Thomas J, Starns, Jeffrey J, Trueblood, Jennifer S, van Maanen, Leendert, van Ravenzwaaij, Don, Vandekerckhove, Joachim, Visser, Ingmar, Voss, Andreas, White, Corey N, Wiecki, Thomas V, Rieskamp, Jörg, and Donkin, Chris
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Adult ,Cognition ,Female ,Humans ,Male ,Models ,Psychological ,Models ,Statistical ,Reaction Time ,Reproducibility of Results ,Single-Blind Method ,Validity ,Cognitive modeling ,Response Times ,Diffusion Model ,LBA ,Psychology ,Cognitive Sciences ,Experimental Psychology - Abstract
Most data analyses rely on models. To complement statistical models, psychologists have developed cognitive models, which translate observed variables into psychologically interesting constructs. Response time models, in particular, assume that response time and accuracy are the observed expression of latent variables including 1) ease of processing, 2) response caution, 3) response bias, and 4) non-decision time. Inferences about these psychological factors, hinge upon the validity of the models' parameters. Here, we use a blinded, collaborative approach to assess the validity of such model-based inferences. Seventeen teams of researchers analyzed the same 14 data sets. In each of these two-condition data sets, we manipulated properties of participants' behavior in a two-alternative forced choice task. The contributing teams were blind to the manipulations, and had to infer what aspect of behavior was changed using their method of choice. The contributors chose to employ a variety of models, estimation methods, and inference procedures. Our results show that, although conclusions were similar across different methods, these "modeler's degrees of freedom" did affect their inferences. Interestingly, many of the simpler approaches yielded as robust and accurate inferences as the more complex methods. We recommend that, in general, cognitive models become a typical analysis tool for response time data. In particular, we argue that the simpler models and procedures are sufficient for standard experimental designs. We finish by outlining situations in which more complicated models and methods may be necessary, and discuss potential pitfalls when interpreting the output from response time models.
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- 2019
14. Selective B cell depletion upon intravenous infusion of replication-incompetent anti-CD19 CAR lentivirus
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Rive, Craig M., Yung, Eric, Dreolini, Lisa, Brown, Scott D., May, Christopher G., Woodsworth, Daniel J., and Holt, Robert A.
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- 2022
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15. Socioeconomic factors and parents' preferences for internet- and mobile-based parenting interventions to prevent youth mental health problems: A discrete choice experiment
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Broomfield, Grace, Brown, Scott D., and Yap, Marie B.H.
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- 2022
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16. The Immune Landscape of Cancer
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Thorsson, Vésteinn, Gibbs, David L, Brown, Scott D, Wolf, Denise, Bortone, Dante S, Ou Yang, Tai-Hsien, Porta-Pardo, Eduard, Gao, Galen F, Plaisier, Christopher L, Eddy, James A, Ziv, Elad, Culhane, Aedin C, Paull, Evan O, Sivakumar, IK Ashok, Gentles, Andrew J, Malhotra, Raunaq, Farshidfar, Farshad, Colaprico, Antonio, Parker, Joel S, Mose, Lisle E, Vo, Nam Sy, Liu, Jianfang, Liu, Yuexin, Rader, Janet, Dhankani, Varsha, Reynolds, Sheila M, Bowlby, Reanne, Califano, Andrea, Cherniack, Andrew D, Anastassiou, Dimitris, Bedognetti, Davide, Mokrab, Younes, Newman, Aaron M, Rao, Arvind, Chen, Ken, Krasnitz, Alexander, Hu, Hai, Malta, Tathiane M, Noushmehr, Houtan, Pedamallu, Chandra Sekhar, Bullman, Susan, Ojesina, Akinyemi I, Lamb, Andrew, Zhou, Wanding, Shen, Hui, Choueiri, Toni K, Weinstein, John N, Guinney, Justin, Saltz, Joel, Holt, Robert A, Rabkin, Charles S, Lazar, Alexander J, Serody, Jonathan S, Demicco, Elizabeth G, Disis, Mary L, Vincent, Benjamin G, Shmulevich, Ilya, Caesar-Johnson, Samantha J, Demchok, John A, Felau, Ina, Kasapi, Melpomeni, Ferguson, Martin L, Hutter, Carolyn M, Sofia, Heidi J, Tarnuzzer, Roy, Wang, Zhining, Yang, Liming, Zenklusen, Jean C, Zhang, Jiashan Julia, Chudamani, Sudha, Liu, Jia, Lolla, Laxmi, Naresh, Rashi, Pihl, Todd, Sun, Qiang, Wan, Yunhu, Wu, Ye, Cho, Juok, DeFreitas, Timothy, Frazer, Scott, Gehlenborg, Nils, Getz, Gad, Heiman, David I, Kim, Jaegil, Lawrence, Michael S, Lin, Pei, Meier, Sam, Noble, Michael S, Saksena, Gordon, Voet, Doug, Zhang, Hailei, Bernard, Brady, Chambwe, Nyasha, Knijnenburg, Theo, Kramer, Roger, Leinonen, Kalle, Miller, Michael, and Reynolds, Sheila
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Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Immunology ,Immunotherapy ,Genetics ,Human Genome ,Cancer ,Cancer Genomics ,2.1 Biological and endogenous factors ,Inflammatory and immune system ,Adolescent ,Adult ,Aged ,Aged ,80 and over ,Child ,Female ,Genomics ,Humans ,Interferon-gamma ,Macrophages ,Male ,Middle Aged ,Neoplasms ,Prognosis ,Th1-Th2 Balance ,Transforming Growth Factor beta ,Wound Healing ,Young Adult ,Cancer Genome Atlas Research Network ,cancer genomics ,immune subtypes ,immuno-oncology ,immunomodulatory ,immunotherapy ,integrative network analysis ,tumor immunology ,tumor microenvironment - Abstract
We performed an extensive immunogenomic analysis of more than 10,000 tumors comprising 33 diverse cancer types by utilizing data compiled by TCGA. Across cancer types, we identified six immune subtypes-wound healing, IFN-γ dominant, inflammatory, lymphocyte depleted, immunologically quiet, and TGF-β dominant-characterized by differences in macrophage or lymphocyte signatures, Th1:Th2 cell ratio, extent of intratumoral heterogeneity, aneuploidy, extent of neoantigen load, overall cell proliferation, expression of immunomodulatory genes, and prognosis. Specific driver mutations correlated with lower (CTNNB1, NRAS, or IDH1) or higher (BRAF, TP53, or CASP8) leukocyte levels across all cancers. Multiple control modalities of the intracellular and extracellular networks (transcription, microRNAs, copy number, and epigenetic processes) were involved in tumor-immune cell interactions, both across and within immune subtypes. Our immunogenomics pipeline to characterize these heterogeneous tumors and the resulting data are intended to serve as a resource for future targeted studies to further advance the field.
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- 2018
17. Clinical response to nivolumab in an INI1-deficient pediatric chordoma correlates with immunogenic recognition of brachyury
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Williamson, Laura M., Rive, Craig M., Di Francesco, Daniela, Titmuss, Emma, Chun, Hye-Jung E., Brown, Scott D., Milne, Katy, Pleasance, Erin, Lee, Anna F., Yip, Stephen, Rosenbaum, Daniel G., Hasselblatt, Martin, Johann, Pascal D., Kool, Marcel, Harvey, Melissa, Dix, David, Renouf, Daniel J., Holt, Robert A., Nelson, Brad H., Hirst, Martin, Jones, Steven J. M., Laskin, Janessa, Rassekh, Shahrad R., Deyell, Rebecca J., and Marra, Marco A.
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- 2021
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18. Evidence Accumulation Modeling: Bayesian Estimation using Differential Evolution
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Heathecote, Andrew, Turner, Brandon, and Brown, Scott D
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Bayesian modeling ,Mathematical modeling ,Decision making ,Response times - Published
- 2015
19. When Extremists Win: Cultural Transmission via Iterated Learning When Populations Are Heterogeneous
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Navarro, Danielle J., Perfors, Amy, Kary, Arthur, Brown, Scott D., and Donkin, Chris
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How does the process of information transmission affect the cultural or linguistic products that emerge? This question is often studied experimentally and computationally via iterated learning, a procedure in which participants learn from previous participants in a chain. Iterated learning is a powerful tool because, when all participants share the same priors, the stationary distributions of the iterated learning chains reveal those priors. In many situations, however, it is unreasonable to assume that all participants share the same prior beliefs. We present four simulation studies and one experiment demonstrating that when the population of learners is heterogeneous, the behavior of an iterated learning chain can be unpredictable and is often systematically distorted by the learners with the most extreme biases. This results in group-level outcomes that reflect neither the behavior of any individuals within the population nor the overall population average. We discuss implications for the use of iterated learning as a methodological tool as well as for the processes that might have shaped cultural and linguistic evolution in the real world.
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- 2018
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20. Modeling the Covariance Structure of Complex Datasets Using Cognitive Models: An Application to Individual Differences and the Heritability of Cognitive Ability
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Evans, Nathan J., Steyvers, Mark, and Brown, Scott D.
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Understanding individual differences in cognitive performance is an important part of understanding how variations in underlying cognitive processes can result in variations in task performance. However, the exploration of individual differences in the components of the decision process--such as cognitive processing speed, response caution, and motor execution speed--in previous research has been limited. Here, we assess the heritability of the components of the decision process, with heritability having been a common aspect of individual differences research within other areas of cognition. Importantly, a limitation of previous work on cognitive heritability is the underlying assumption that variability in response times solely reflects variability in the speed of cognitive processing. This assumption has been problematic in other domains, due to the confounding effects of caution and motor execution speed on observed response times. We extend a cognitive model of decision-making to account for relatedness structure in a twin study paradigm. This approach can separately quantify different contributions to the heritability of response time. Using data from the Human Connectome Project, we find strong evidence for the heritability of response caution, and more ambiguous evidence for the heritability of cognitive processing speed and motor execution speed. Our study suggests that the assumption made in previous studies--that the heritability of cognitive ability is based on cognitive processing speed--may be incorrect. More generally, our methodology provides a useful avenue for future research in complex data that aims to analyze cognitive traits across different sources of related data, whether the relation is between people, tasks, experimental phases, or methods of measurement.
- Published
- 2018
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21. The multiattribute linear ballistic accumulator model of context effects in multialternative choice.
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Trueblood, Jennifer S, Brown, Scott D, and Heathcote, Andrew
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Humans ,Probability ,Motivation ,Intuition ,Memory ,Short-Term ,Visual Perception ,Decision Making ,Choice Behavior ,Models ,Psychological ,decision making ,multialternative choice ,preference reversal ,context effects ,dynamic models ,Memory ,Short-Term ,Models ,Psychological ,Human ,Adulthood ,Empirical Study ,Mathematical Model ,Quantitative Study ,Contextual Associations ,US ,article ,3100:Personality Psychology ,Psychology ,Cognitive Sciences ,Experimental Psychology - Abstract
Context effects occur when a choice between 2 options is altered by adding a 3rd alternative. Three major context effects--similarity, compromise, and attraction--have wide-ranging implications across applied and theoretical domains, and have driven the development of new dynamic models of multiattribute and multialternative choice. We propose the multiattribute linear ballistic accumulator (MLBA), a new dynamic model that provides a quantitative account of all 3 context effects. Our account applies not only to traditional paradigms involving choices among hedonic stimuli, but also to recent demonstrations of context effects with nonhedonic stimuli. Because of its computational tractability, the MLBA model is more easily applied than previous dynamic models. We show that the model also accounts for a range of other phenomena in multiattribute, multialternative choice, including time pressure effects, and that it makes a new prediction about the relationship between deliberation time and the magnitude of the similarity effect, which we confirm experimentally.
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- 2014
22. Functional connectivity of negative emotional processing in adolescent depression
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Ho, Tiffany C, Yang, Guang, Wu, Jing, Cassey, Pete, Brown, Scott D, Hoang, Napoleon, Chan, Melanie, Connolly, Colm G, Henje-Blom, Eva, Duncan, Larissa G, Chesney, Margaret A, Paulus, Martin P, Max, Jeffrey E, Patel, Ronak, Simmons, Alan N, and Yang, Tony T
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Neurosciences ,Mind and Body ,Clinical Research ,Major Depressive Disorder ,Basic Behavioral and Social Science ,Behavioral and Social Science ,Pediatric ,Mental Health ,Depression ,Brain Disorders ,Serious Mental Illness ,Aetiology ,2.1 Biological and endogenous factors ,Mental health ,Adolescent ,Brain ,Case-Control Studies ,Depressive Disorder ,Major ,Fear ,Female ,Gyrus Cinguli ,Humans ,Magnetic Resonance Imaging ,Male ,Severity of Illness Index ,Functional connectivity ,Adolescent depression ,Linear ballistic accumulator model ,Functional magnetic resonance imaging ,Subgenual anterior cingulate cortex ,Psychophysiological interaction ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Psychiatry - Abstract
BackgroundThe subgenual anterior cingulate cortex (sgACC) and its connected circuitry have been heavily implicated in emotional functioning in adolescent-onset major depressive disorder (MDD). While several recent studies have examined sgACC functional connectivity (FC) in depressed youth at rest, no studies to date have investigated sgACC FC in adolescent depression during negative emotional processing.MethodsNineteen medication-naïve adolescents with MDD and 19 matched healthy controls (HCL) performed an implicit fear facial affect recognition task during functional magnetic resonance imaging (fMRI). We defined seeds in bilateral sgACC and assessed FC using the psychophysiological interaction method. We also applied cognitive behavioral modeling to estimate group differences in perceptual sensitivity in this task. Finally, we correlated connectivity strength with clinical data and perceptual sensitivity.ResultsDepressed adolescents showed increased sgACC-amygdala FC and decreased sgACC-fusiform gyrus, sgACC-precuneus, sgACC-insula, and sgACC-middle frontal gyrus FC compared to HCL (p
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- 2014
23. When rating systems do not rate : Evaluating ERA's performance.
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Henman, Paul, Brown, Scott D., and Dennis, Simon
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- 2017
24. CLIC-01: Manufacture and distribution of non-cryopreserved CAR-T cells for patients with CD19 positive hematologic malignancies
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Kekre, Natasha, primary, Hay, Kevin A., additional, Webb, John R., additional, Mallick, Ranjeeta, additional, Balasundaram, Miruna, additional, Sigrist, Mhairi K., additional, Clement, Anne-Marie, additional, Nielsen, Julie S., additional, Quizi, Jennifer, additional, Yung, Eric, additional, Brown, Scott D., additional, Dreolini, Lisa, additional, Waller, Daniel D., additional, Smazynski, Julian, additional, Gierc, Nicole S., additional, Loveless, Bianca C., additional, Clark, Kayla, additional, Dyer, Tyler, additional, Hogg, Richard, additional, McCormick, Leah, additional, Gignac, Michael, additional, Bell, Shanti, additional, Chapman, D. Maria, additional, Bond, David, additional, Yong, Siao, additional, Fung, Rachel, additional, Lockyer, Heather M., additional, Hodgson, Victoria, additional, Murphy, Catherine, additional, Subramanian, Ana, additional, Wiebe, Evelyn, additional, Yoganathan, Piriya, additional, Medynski, Liana, additional, Vaillan, Dominique C., additional, Black, Alice, additional, McDiarmid, Sheryl, additional, Kennah, Michael, additional, Hamelin, Linda, additional, Song, Kevin, additional, Narayanan, Sujaatha, additional, Rodrigo, Judith A., additional, Dupont, Stefany, additional, Hawrysh, Terry, additional, Presseau, Justin, additional, Thavorn, Kednapa, additional, Lalu, Manoj M., additional, Fergusson, Dean A., additional, Bell, John C., additional, Atkins, Harold, additional, Nelson, Brad H., additional, and Holt, Robert A., additional
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- 2022
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25. Additional file 2 of Complete sequence verification of plasmid DNA using the Oxford Nanopore Technologies’ MinION device
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Brown, Scott D., Dreolini, Lisa, Wilson, Jessica F., Balasundaram, Miruna, and Holt, Robert A.
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Additional file 2. Supplementary Figures S1 to S4.
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- 2023
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26. Context Effects in Multi-Alternative Decision Making: Empirical Data and a Bayesian Model
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Hawkins, Guy, Brown, Scott D., Steyvers, Mark, and Wagenmakers, Eric-Jan
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For decisions between many alternatives, the benchmark result is Hick's Law: that response time increases log-linearly with the number of choice alternatives. Even when Hick's Law is observed for response times, divergent results have been observed for error rates--sometimes error rates increase with the number of choice alternatives, and sometimes they are constant. We provide evidence from two experiments that error rates are mostly independent of the number of choice alternatives, unless context effects induce participants to trade speed for accuracy across conditions. Error rate data have previously been used to discriminate between competing theoretical accounts of Hick's Law, and our results question the validity of those conclusions. We show that a previously dismissed optimal observer model might provide a parsimonious account of both response time and error rate data. The model suggests that people approximate Bayesian inference in multi-alternative choice, except for some perceptual limitations. (Contains 7 figures and 1 note.)
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- 2012
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27. Enhancing Engagement of Fathers in Web-Based Preventive Parenting Programs for Adolescent Mental Health: A Discrete Choice Experiment
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Hansen, Ashlyn, primary, Brown, Scott D., additional, and Yap, Marie B. H., additional
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- 2021
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28. Modulation of the Host Cell Transcriptome and Epigenome by Fusobacterium nucleatum
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Despins, Cody A., primary, Brown, Scott D., additional, Robinson, Avery V., additional, Mungall, Andrew J., additional, Allen-Vercoe, Emma, additional, and Holt, Robert A., additional
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- 2021
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29. Optimizing Experimental Conditions for Accurate Quantitative Energy-Dispersive X-ray Analysis of Interfaces at the Atomic Scale
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Katherine E. MacArthur, Andrew B. Yankovich, Armand Béché, Martina Luysberg, Hamish G. Brown, Scott D. Findlay, Marc Heggen and Leslie J. Allen
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- 2021
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30. A theoretical analysis of the reward rate optimality of collapsing decision criteria
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Helmholtz Institute, Experimental Psychology (onderzoeksprogramma PF), Leerstoel Stigchel, Afd Psychologische functieleer, Boehm, Udo, van Maanen, Leendert, Evans, Nathan J., Brown, Scott D., Wagenmakers, Eric Jan, Helmholtz Institute, Experimental Psychology (onderzoeksprogramma PF), Leerstoel Stigchel, Afd Psychologische functieleer, Boehm, Udo, van Maanen, Leendert, Evans, Nathan J., Brown, Scott D., and Wagenmakers, Eric Jan
- Published
- 2020
31. Genome and Transcriptome Biomarkers of Response to Immune Checkpoint Inhibitors in Advanced Solid Tumors
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Pender, Alexandra, primary, Titmuss, Emma, additional, Pleasance, Erin D., additional, Fan, Kevin Y., additional, Pearson, Hillary, additional, Brown, Scott D., additional, Grisdale, Cameron J., additional, Topham, James T., additional, Shen, Yaoqing, additional, Bonakdar, Melika, additional, Taylor, Gregory A., additional, Williamson, Laura M., additional, Mungall, Karen L., additional, Chuah, Eric, additional, Mungall, Andrew J., additional, Moore, Richard A., additional, Lavoie, Jean-Michel, additional, Yip, Stephen, additional, Lim, Howard, additional, Renouf, Daniel J., additional, Sun, Sophie, additional, Holt, Robert A., additional, Jones, Steven J.M., additional, Marra, Marco A., additional, and Laskin, Janessa, additional
- Published
- 2021
- Full Text
- View/download PDF
32. Simulations of Leaf BSDF Effects on Lidar Waveforms
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Roth, Benjamin D., primary, Goodenough, Adam A., additional, Brown, Scott D., additional, van Aardt, Jan A., additional, Saunders, M. Grady, additional, and Krause, Keith, additional
- Published
- 2020
- Full Text
- View/download PDF
33. The Effects of Increased Visual Information on Cognitive Workload in a Helicopter Simulator
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Innes, Reilly J., primary, Howard, Zachary L., additional, Thorpe, Alexander, additional, Eidels, Ami, additional, and Brown, Scott D., additional
- Published
- 2020
- Full Text
- View/download PDF
34. A Broader Application of the Detection Response Task to Cognitive Tasks and Online Environments
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Innes, Reilly J., primary, Evans, Nathan J., additional, Howard, Zachary L., additional, Eidels, Ami, additional, and Brown, Scott D., additional
- Published
- 2020
- Full Text
- View/download PDF
35. Identification of a CD8+ T-cell response to a predicted neoantigen in malignant mesothelioma
- Author
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Sneddon, Sophie, primary, Rive, Craig M., additional, Ma, Shaokang, additional, Dick, Ian M., additional, Allcock, Richard J. N., additional, Brown, Scott D., additional, Holt, Robert A., additional, Watson, Mark, additional, Leary, Shay, additional, Lee, Y. C. Gary, additional, Robinson, Bruce W. S., additional, and Creaney, Jenette, additional
- Published
- 2019
- Full Text
- View/download PDF
36. A theoretical analysis of the reward rate optimality of collapsing decision criteria
- Author
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Boehm, Udo, van Maanen, Leendert, Evans, Nathan J., Brown, Scott D., Wagenmakers, Eric Jan, Helmholtz Institute, Experimental Psychology (onderzoeksprogramma PF), Leerstoel Stigchel, Afd Psychologische functieleer, Psychologische Methodenleer (Psychologie, FMG), Helmholtz Institute, Experimental Psychology (onderzoeksprogramma PF), Leerstoel Stigchel, and Afd Psychologische functieleer
- Subjects
Linguistics and Language ,Mathematical optimization ,Computer science ,Decision Making ,Reward rate maximization ,Experimental and Cognitive Psychology ,050105 experimental psychology ,Language and Linguistics ,Article ,03 medical and health sciences ,bepress|Life Sciences|Neuroscience and Neurobiology ,0302 clinical medicine ,Reward ,Order (exchange) ,PsyArXiv|Neuroscience|Computational Neuroscience ,Humans ,0501 psychology and cognitive sciences ,Sequential sampling ,Structure (mathematical logic) ,Diffusion model ,05 social sciences ,Uncertainty ,bepress|Life Sciences|Neuroscience and Neurobiology|Computational Neuroscience ,Multiple-criteria decision analysis ,Sensory Systems ,Dynamic programming ,PsyArXiv|Neuroscience ,Collapsing bounds ,Decision process ,Constant (mathematics) ,030217 neurology & neurosurgery ,Simulation methods - Abstract
A standard assumption of most sequential sampling models is that decision makers rely on a decision criterion that remains constant throughout the decision process. However, several authors have recently suggested that, in order to maximize reward rates in dynamic environments, decision makers need to rely on a decision criterion that changes over the course of the decision process. We used dynamic programming and simulation methods to quantify the reward rates obtained by constant and dynamic decision criteria in different environments. We further investigated what influence a decision maker’s uncertainty about the stochastic structure of the environment has on reward rates. Our results show that in most dynamic environments, both types of decision criteria yield similar reward rates, across different levels of uncertainty. This suggests that a static decision criterion might provide a robust default setting.
- Published
- 2019
37. The Effects of Increased Visual Information on Cognitive Workload in a Helicopter Simulator.
- Author
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Innes, Reilly J., Howard, Zachary L., Thorpe, Alexander, Eidels, Ami, and Brown, Scott D.
- Subjects
HELICOPTERS ,MILITARY education - Abstract
Objective: To test the effects of enhanced display information ("symbology") on cognitive workload in a simulated helicopter environment, using the detection response task (DRT). Background: Workload in highly demanding environments can be influenced by the amount of information given to the operator and consequently it is important to limit potential overload. Methods: Participants (highly trained military pilots) completed simulated helicopter flights, which varied in visual conditions and the amount of information given. During these flights, participants also completed a DRT as a measure of cognitive workload. Results: With more visual information available, pilots' landing accuracy was improved across environmental conditions. The DRT is sensitive to changes in cognitive workload, with workload differences shown between environmental conditions. Increasing symbology appeared to have a minor effect on workload, with an interaction effect of symbology and environmental condition showing that symbology appeared to moderate workload. Conclusion: The DRT is a useful workload measure in simulated helicopter settings. The level of symbology-moderated pilot workload. The increased level of symbology appeared to assist pilots' flight behavior and landing ability. Results indicate that increased symbology has benefits in more difficult scenarios. Applications: The DRT is an easily implemented and effective measure of cognitive workload in a variety of settings. In the current experiment, the DRT captures the increased workload induced by varying the environmental conditions, and provides evidence for the use of increased symbology to assist pilots. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
38. A Broader Application of the Detection Response Task to Cognitive Tasks and Online Environments.
- Author
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Innes, Reilly J., Evans, Nathan J., Howard, Zachary L., Eidels, Ami, and Brown, Scott D.
- Subjects
COGNITIVE testing ,COGNITIVE load ,TASKS ,EXPERIMENTAL psychology ,COGNITIVE psychology - Abstract
Objective: The present research applied a well-established measure of cognitive workload in driving literature to an in-lab paradigm. We then extended this by comparing the in-lab version of the task to an online version. Background: The accurate and objective measurement of cognitive workload is important in many aspects of psychological research. The detection response task (DRT) is a well-validated method for measuring cognitive workload that has been used extensively in applied tasks, for example, to investigate the effects of phone usage or passenger conversation on driving, but has been used sparingly outside of this field. Method: The study investigated whether the DRT could be used to measure cognitive workload in tasks more commonly used in experimental cognitive psychology and whether this application could be extended to online environments. We had participants perform a multiple object tracking (MOT) task while simultaneously performing a DRT. We manipulated the cognitive load of the MOT task by changing the number of dots to be tracked. Results: Measurements from the DRT were sensitive to changes in the cognitive load, establishing the efficacy of the DRT for experimental cognitive tasks in lab-based situations. This sensitivity continued when applied to an online environment (our code for the online DRT implementation is freely available at https://osf.io/dc39s/), though to a reduced extent compared to the in-lab situation. Conclusion: The MOT task provides an effective manipulation of cognitive workload. The DRT is sensitive to changes in workload across a range of settings and is suitable to use outside of driving scenarios, as well as via online delivery. Application: Methodology shows how the DRT could be used to measure sources of cognitive workload in a range of human factors contexts. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
39. Neoantigen characteristics in the context of the complete predicted MHC class I self-immunopeptidome
- Author
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Brown, Scott D., primary and Holt, Robert A., additional
- Published
- 2018
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40. The Immune Landscape of Cancer
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Onderzoeksgroep 6, Pathologie Pathologen staf, Thorsson, Vésteinn, Gibbs, David L., Brown, Scott D., Wolf, Denise, Bortone, Dante S., Ou Yang, Tai Hsien, Porta-Pardo, Eduard, Gao, Galen F., Plaisier, Christopher L., Eddy, James A., Ziv, Elad, Culhane, Aedin C., Paull, Evan O., Sivakumar, I. K.Ashok, Gentles, Andrew J., Malhotra, Raunaq, Farshidfar, Farshad, Colaprico, Antonio, Parker, Joel S., Mose, Lisle E., Vo, Nam Sy, Liu, Jianfang, Liu, Yuexin, Rader, Janet, Dhankani, Varsha, Reynolds, Sheila M., Bowlby, Reanne, Califano, Andrea, Cherniack, Andrew D., Anastassiou, Dimitris, Bedognetti, Davide, Rao, Arvind, Chen, Ken, Krasnitz, Alexander, Hu, Hai, Malta, Tathiane M., Noushmehr, Houtan, Pedamallu, Chandra Sekhar, Bullman, Susan, Ojesina, Akinyemi I., Lamb, Andrew, Zhou, Wanding, Shen, Hui, Choueiri, Toni K., Weinstein, John N., Guinney, Justin, Saltz, Joel, Holt, Robert, Zhang, Jiashan (Julia), de Krijger, Ronald, The Cancer Genome Atlas Research Network, Onderzoeksgroep 6, Pathologie Pathologen staf, Thorsson, Vésteinn, Gibbs, David L., Brown, Scott D., Wolf, Denise, Bortone, Dante S., Ou Yang, Tai Hsien, Porta-Pardo, Eduard, Gao, Galen F., Plaisier, Christopher L., Eddy, James A., Ziv, Elad, Culhane, Aedin C., Paull, Evan O., Sivakumar, I. K.Ashok, Gentles, Andrew J., Malhotra, Raunaq, Farshidfar, Farshad, Colaprico, Antonio, Parker, Joel S., Mose, Lisle E., Vo, Nam Sy, Liu, Jianfang, Liu, Yuexin, Rader, Janet, Dhankani, Varsha, Reynolds, Sheila M., Bowlby, Reanne, Califano, Andrea, Cherniack, Andrew D., Anastassiou, Dimitris, Bedognetti, Davide, Rao, Arvind, Chen, Ken, Krasnitz, Alexander, Hu, Hai, Malta, Tathiane M., Noushmehr, Houtan, Pedamallu, Chandra Sekhar, Bullman, Susan, Ojesina, Akinyemi I., Lamb, Andrew, Zhou, Wanding, Shen, Hui, Choueiri, Toni K., Weinstein, John N., Guinney, Justin, Saltz, Joel, Holt, Robert, Zhang, Jiashan (Julia), de Krijger, Ronald, and The Cancer Genome Atlas Research Network
- Published
- 2018
41. Identification of a CD8+ T-cell response to a predicted neoantigen in malignant mesothelioma.
- Author
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Sneddon, Sophie, Rive, Craig M., Ma, Shaokang, Dick, Ian M., Allcock, Richard J. N., Brown, Scott D., Holt, Robert A., Watson, Mark, Leary, Shay, Lee, Y. C. Gary, Robinson, Bruce W. S., and Creaney, Jenette
- Subjects
MESOTHELIOMA ,PLEURAL effusions ,T cells ,CELL populations ,PLEURA cancer ,GENE expression - Abstract
Neoantigens present unique and specific targets for personalized cancer immunotherapy strategies. Given the low mutational burden yet immunotherapy responsiveness of malignant mesothelioma (MM) when compared to other carcinogen-induced malignancies, identifying candidate neoantigens and T cells that recognize them has been a challenge. We used pleural effusions to gain access to MM tumor cells as well as immune cells in order to characterize the tumor-immune interface in MM. We characterized the landscape of potential neoantigens from SNVs identified in 27 MM patients and performed whole transcriptome sequencing of cell populations from 18 patient-matched pleural effusions. IFNγ ELISpot was performed to detect a CD8+ T cell responses to predicted neoantigens in one patient. We detected a median of 68 (range 7–258) predicted neoantigens across the samples. Wild-type non-binding to mutant binding predicted neoantigens increased risk of death in a model adjusting for age, sex, smoking status, histology and treatment (HR: 33.22, CI: 2.55–433.02, p =.007). Gene expression analysis indicated a dynamic immune environment within the pleural effusions. TCR clonotypes increased with predicted neoantigen burden. A strong activated CD8+ T-cell response was identified for a predicted neoantigen produced by a spontaneous mutation in the ROBO3 gene. Despite the challenges associated with the identification of bonafide neoantigens, there is growing evidence that these molecular changes can provide an actionable target for personalized therapeutics in difficult to treat cancers. Our findings support the existence of candidate neoantigens in MM despite the low mutation burden of the tumor, and may present improved treatment opportunities for patients. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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42. When Extremists Win: Cultural Transmission Via Iterated Learning When Populations Are Heterogeneous
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Navarro, Danielle J., primary, Perfors, Andrew, additional, Kary, Arthur, additional, Brown, Scott D., additional, and Donkin, Chris, additional
- Published
- 2018
- Full Text
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43. Modeling the Covariance Structure of Complex Datasets Using Cognitive Models: An Application to Individual Differences and the Heritability of Cognitive Ability
- Author
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Evans, Nathan J., primary, Steyvers, Mark, additional, and Brown, Scott D., additional
- Published
- 2018
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44. Interfaces of Malignant and Immunologic Clonal Dynamics in Ovarian Cancer
- Author
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Zhang, Allen W., primary, McPherson, Andrew, additional, Milne, Katy, additional, Kroeger, David R., additional, Hamilton, Phineas T., additional, Miranda, Alex, additional, Funnell, Tyler, additional, Little, Nicole, additional, de Souza, Camila P.E., additional, Laan, Sonya, additional, LeDoux, Stacey, additional, Cochrane, Dawn R., additional, Lim, Jamie L.P., additional, Yang, Winnie, additional, Roth, Andrew, additional, Smith, Maia A., additional, Ho, Julie, additional, Tse, Kane, additional, Zeng, Thomas, additional, Shlafman, Inna, additional, Mayo, Michael R., additional, Moore, Richard, additional, Failmezger, Henrik, additional, Heindl, Andreas, additional, Wang, Yi Kan, additional, Bashashati, Ali, additional, Grewal, Diljot S., additional, Brown, Scott D., additional, Lai, Daniel, additional, Wan, Adrian N.C., additional, Nielsen, Cydney B., additional, Huebner, Curtis, additional, Tessier-Cloutier, Basile, additional, Anglesio, Michael S., additional, Bouchard-Côté, Alexandre, additional, Yuan, Yinyin, additional, Wasserman, Wyeth W., additional, Gilks, C. Blake, additional, Karnezis, Anthony N., additional, Aparicio, Samuel, additional, McAlpine, Jessica N., additional, Huntsman, David G., additional, Holt, Robert A., additional, Nelson, Brad H., additional, and Shah, Sohrab P., additional
- Published
- 2018
- Full Text
- View/download PDF
45. The computations that support simple decision-making: A comparison between the diffusion and urgency-gating models
- Author
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Evans, Nathan J., primary, Hawkins, Guy E., additional, Boehm, Udo, additional, Wagenmakers, Eric-Jan, additional, and Brown, Scott D., additional
- Published
- 2017
- Full Text
- View/download PDF
46. DIRSIG5: Next-Generation Remote Sensing Data and Image Simulation Framework
- Author
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Goodenough, Adam A., primary and Brown, Scott D., additional
- Published
- 2017
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47. Low Mutation Burden in Ovarian Cancer May Limit the Utility of Neoantigen-Targeted Vaccines
- Author
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Martin, Spencer D. and Brown, Scott D.
- Abstract
Due to advances in sequencing technology, somatically mutated cancer antigens, or neoantigens, are now readily identifiable and have become compelling targets for immunotherapy. In particular, neoantigen-targeted vaccines have shown promise in several pre-clinical and clinical studies. However, to date, neoantigen-targeted vaccine studies have involved tumors with exceptionally high mutation burdens. It remains unclear whether neoantigen-targeted vaccines will be broadly applicable to cancers with intermediate to low mutation burdens, such as ovarian cancer. To address this, we assessed whether a derivative of the murine ovarian tumor model ID8 could be targeted with neoantigen vaccines. We performed whole exome and transcriptome sequencing on ID8-G7 cells. We identified 92 somatic mutations, 39 of which were transcribed, missense mutations. For the 17 top predicted MHC class I binding mutations, we immunized mice subcutaneously with synthetic long peptide vaccines encoding the relevant mutation. Seven of 17 vaccines induced robust mutation-specific CD4 and/or CD8 T cell responses. However, none of the vaccines prolonged survival of tumor-bearing mice in either the prophylactic or therapeutic setting. Moreover, none of the neoantigen-specific T cell lines recognized ID8-G7 tumor cells in vitro, indicating that the corresponding mutations did not give rise to bonafide MHC-presented epitopes. Additionally, bioinformatic analysis of The Cancer Genome Atlas data revealed that only 12% (26/220) of HGSC cases had a ≥90% likelihood of harboring at least one authentic, naturally processed and presented neoantigen versus 51% (80/158) of lung cancers. Our findings highlight the limitations of applying neoantigen-targeted vaccines to tumor types with intermediate/low mutation burdens.
- Published
- 2016
48. Defining the clonality of peripheral T cell lymphomas using RNA-seq
- Author
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Brown, Scott D, primary, Hapgood, Greg, additional, Steidl, Christian, additional, Weng, Andrew P, additional, Savage, Kerry J, additional, and Holt, Robert A, additional
- Published
- 2016
- Full Text
- View/download PDF
49. Low Mutation Burden in Ovarian Cancer May Limit the Utility of Neoantigen-Targeted Vaccines
- Author
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Martin, Spencer D., primary, Brown, Scott D., additional, Wick, Darin A., additional, Nielsen, Julie S., additional, Kroeger, David R., additional, Twumasi-Boateng, Kwame, additional, Holt, Robert A., additional, and Nelson, Brad H., additional
- Published
- 2016
- Full Text
- View/download PDF
50. Profiling tissue-resident T cell repertoires by RNA sequencing
- Author
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Brown, Scott D., primary, Raeburn, Lisa A., additional, and Holt, Robert A., additional
- Published
- 2015
- Full Text
- View/download PDF
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