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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Yu Y, Lobo RP, Riedel MC, et al. (2024) Neuroimaging meta regression for coordinate based meta analysis data with a spatial model. Biostatistics (Oxford, England)
Kong RQ, Spreng RN, Xue A, et al. (2024) A network correspondence toolbox for quantitative evaluation of novel neuroimaging results. Biorxiv : the Preprint Server For Biology
Bottenhorn KL, Cardenas-Iniguez C, Schachner JN, et al. (2024) Adolescent Neurodevelopmental Variance Across Social Strata. Jama Network Open. 7: e2410441
Saberi A, Ebneabbasi A, Rahimi S, et al. (2023) Convergent functional effects of antidepressants in major depressive disorder: a neuroimaging meta-analysis. Medrxiv : the Preprint Server For Health Sciences
Meca A, Peraza JA, Riedel MC, et al. (2023) Acculturative Orientations Among Hispanic/Latinx Caregivers in the ABCD Study: Associations With Caregiver and Youth Mental Health and Youth Brain Function. Biological Psychiatry Global Open Science. 3: 785-796
Diveica V, Riedel MC, Salo T, et al. (2023) Graded functional organization in the left inferior frontal gyrus: evidence from task-free and task-based functional connectivity. Cerebral Cortex (New York, N.Y. : 1991)
Poldrack RA, Markiewicz CJ, Appelhoff S, et al. (2023) The Past, Present, and Future of the Brain Imaging Data Structure (BIDS). Arxiv
Smith DD, Meca A, Bottenhorn KL, et al. (2023) Task-based attentional and default mode connectivity associated with science and math anxiety profiles among university physics students. Trends in Neuroscience and Education. 32: 100204
Peraza JA, Salo T, Riedel MC, et al. (2023) Meta-analytic decoding of the cortical gradient of functional connectivity. Biorxiv : the Preprint Server For Biology
Bottenhorn KL, Cardenas-Iniguez C, Mills KL, et al. (2023) Profiling intra- and inter-individual differences in brain development across early adolescence. Neuroimage. 279: 120287
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