Angela R. Laird

Affiliations: 
Research Imaging Center University of Texas Health Science Center at San Antonio, San Antonio, TX, United States 
Area:
Neuroinformatic tools, human brain functional mapping
Website:
http://ric.uthscsa.edu/lairda.php
Google:
"Angela Laird"
Bio:

Dr. Laird’s research deals with integrating neuroinformatics tools and network analysis methods, such as structural equation modeling (SEM), activation likelihood estimation (ALE), and replicator dynamics network analysis (RDNA), in the field of human functional brain mapping. Her expertise lies in meta-analysis of PET and fMRI data, which searches for regions of concordance across multiple studies. In addition to her research and teaching duties, Dr. Laird is responsible for the administration and development of BrainMap, an online community database of functional neuroimaging data.

Mean distance: 17.49 (cluster 23)
 
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Publications

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Samartsidis P, Montagna S, Laird AR, et al. (2020) Estimating the prevalence of missing experiments in a neuroimaging meta-analysis. Research Synthesis Methods
Hawes SW, Waller R, Byrd AL, et al. (2020) Reward Processing in Children With Disruptive Behavior Disorders and Callous-Unemotional Traits in the ABCD Study. The American Journal of Psychiatry. appiajp202019101092
Morawetz C, Riedel MC, Salo T, et al. (2020) Multiple large-scale neural networks underlying emotion regulation. Neuroscience and Biobehavioral Reviews
Botvinik-Nezer R, Holzmeister F, Camerer CF, et al. (2020) Variability in the analysis of a single neuroimaging dataset by many teams. Nature
Waller R, Hawes SW, Byrd AL, et al. (2020) Disruptive Behavior Problems, Callous-Unemotional Traits, and Regional Gray Matter Volume in the Adolescent Brain and Cognitive Development Study. Biological Psychiatry. Cognitive Neuroscience and Neuroimaging
Poudel R, Riedel MC, Salo T, et al. (2020) Common and distinct brain activity associated with risky and ambiguous decision-making. Drug and Alcohol Dependence. 209: 107884
Bolt T, Nomi JS, Arens R, et al. (2020) Ontological Dimensions of Cognitive-Neural Mappings. Neuroinformatics
Schnellbächer GJ, Hoffstaedter F, Eickhoff SB, et al. (2020) Functional Characterization of Atrophy Patterns Related to Cognitive Impairment. Frontiers in Neurology. 11: 18
Flannery JS, Riedel MC, Bottenhorn KL, et al. (2019) Meta-analytic clustering dissociates brain activity and behavior profiles across reward processing paradigms. Cognitive, Affective & Behavioral Neuroscience
Bartley JE, Riedel MC, Salo T, et al. (2019) Brain activity links performance in science reasoning with conceptual approach. Npj Science of Learning. 4: 20
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