Angela R. Laird

The paper identifies dual neural pathways linking sociocultural factors to resting-state functional connectivity in Hispanic adolescents, revealing distinct neurobiological impacts of community and family environments.

The paper aligns white matter tracts with canonical functional brain networks using an atlas and meta-analytic decoding, revealing structural-functional organization.

The paper investigates habenula functional connectivity differences in autistic individuals compared to neurotypical controls using rs-fMRI data from ABIDE.

This study examines changes in hippocampal functional connectivity in students undergoing active vs. lecture-based physics learning using fMRI.

The paper uses fMRI to compare brain state dynamics between active and lecture-based physics learning, finding distinct neural patterns associated with each approach.

NiCLIP predicts cognitive tasks and domains from brain activation maps using a contrastive language-image model trained on neuroscientific articles.

The paper introduces the Network Correspondence Toolbox (NCT) to evaluate spatial correspondence between novel neuroimaging results and existing brain atlases, enabling standardized reporting and comparison across studies.

This paper develops a framework for image-based meta-analysis using NeuroVault data, showing that manual selection provides precise results while heuristic methods are effective for heterogeneous domains.

This paper reviews neuroimaging meta-analyses, finding that most follow PRISMA guidelines but have issues with pre-registration, search strategies, and study numbers.

The paper examines how contraceptive and hormone-related functional brain networks vary across the menstrual cycle using fMRI and hormone data from two longitudinal datasets, finding individual-specific and generalizable patterns influenced by hormonal contraceptives.

The DIVA Study investigates intra-individual variability in brain and behavior across the menstrual cycle in premenopausal women using multimodal neuroimaging and physiological data.

This paper develops and evaluates methods for decoding functional connectivity gradients in fMRI data using meta-analytic techniques and k-means segmentation.

This study identifies brain networks involved in implicit statistical learning of grammar using meta-analyses and functional connectivity, finding three subnetworks related to grammatical processing and cognitive control.

This study identifies two graded functional organization axes in the left inferior frontal gyrus using resting-state and task-based connectivity analyses.

The paper quantifies intra- and inter-individual variability in brain development during early adolescence using the ABCD Study, finding age-related differences and regional heterogeneity.

The paper conducts a meta-analysis to identify neural systems associated with RDoC social constructs using fMRI data.

The paper investigates how STEM anxiety profiles correlate with brain connectivity during physics tasks using fMRI and latent profile analysis.

This study identifies convergent structural brain alterations in PTSD using meta-analysis and examines their functional connectivity across brain networks.

This paper decomposes brain activity during the cue-reactivity paradigm into subnetworks associated with attention, reward, and affective processes using meta-analytic and connectivity techniques.

The paper identifies four spatially distinct executive function networks through image-based meta-analysis of fMRI studies, highlighting inconsistencies in current network labeling conventions.

The paper examines how IQ, academic performance, and brain connectivity relate in physics students, finding IQ increases and associations with brain connectivity, but no mediation of academic outcomes.

The paper estimates the prevalence of missing non-significant experiments in a neuroimaging meta-analysis using a zero-truncated model applied to BrainMap data.

The paper shows that preexisting neural patterns moderate the link between hurricane experiences and post-traumatic stress in youth, even for those not directly exposed.

This study identifies common and distinct brain regions associated with risky and ambiguous decision-making through meta-analyses of neuroimaging data from 151 studies.

The paper identifies latent dimensions in task-fMRI data that explain more variance than conventional cognitive categories, suggesting current cognitive frameworks may not fully capture brain activation patterns.

This study uses neuroimaging meta-analysis to show common hyperactivity in the medial prefrontal cortex across multiple psychopathologies, suggesting shared dysregulation in default-mode intrusion affecting working memory.

The paper uses meta-analytic clustering to identify seven brain activity patterns associated with different aspects of reward processing and their corresponding behavioral profiles.

This study uses fMRI to show that active-learning and lecture-based physics instruction lead to brain activity reorganization, with sex differences observed in frontoparietal, default mode, and visual areas, and pedagogy-sex interactions during physics retrieval.