Rebecca L. Jackson

The paper examines how semantic control networks differ in their activation during visual and auditory semantic tasks, finding SCN involvement modulated by task structure and MDN influenced by input modality.

This paper uses MEG to show how semantic control regions interact with visual cortex during semantic decisions, revealing goal-dependent feedback and feedforward signaling patterns.

This study uses ALE meta-analysis to compare brain regions engaged by syntactic and semantic processing, finding syntactic demands activate parts of the semantic control network.

This study investigates the overlap between neural correlates of theory of mind and semantic cognition using a meta-analysis of 344 functional neuroimaging studies, finding significant overlap in the anterior temporal lobe and temporoparietal junction.

The paper examines functional transitions in the left temporal lobe related to connectivity gradients and task-based activation patterns.

This study uses fMRI to separate the effects of task process and stimulus domain on control networks during semantic and non-semantic tasks, finding both factors influence activation patterns.

The paper introduces mvTL-MDPC, a multivariate and multidimensional functional connectivity method for EEG/MEG data, showing it improves accuracy over bivariate methods in identifying direct brain connections.

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

The paper tests the role of the co-activated default mode network in episodic recall and social cognition using network-level analysis and finds no evidence of its involvement in these tasks.

This paper introduces TL-MDPC, a novel functional connectivity metric for EEG/MEG data that captures multidimensional pattern transformations, showing improved sensitivity in detecting semantic task-related connectivity.

This paper introduces nTL-MDPC, a nonlinear functional connectivity method for EEG/MEG, and shows it detects nonlinear relationships better than its linear counterpart in simulations but with subtle differences in real data.

The paper shows that delayed maturation of semantic control in the prefrontal cortex supports conceptual learning by allowing flexible use of conceptual knowledge during development.

The paper examines structural and functional connectivity patterns in DLPFC subregions, finding graded intra-regional connectivity and distinct connections to other cortical areas.

The paper compares seven cognitive domains in the posterior lateral temporal cortex using meta-analyses to determine if they engage distinct or shared regions.

This study examines how semantic task demands modulate spatiotemporal brain dynamics and connectivity in semantic networks using EEG/MEG data, revealing distinct patterns in activation and functional connectivity across different brain regions.

The paper investigates multiple functional dimensions organizing the language network using meta-analyses, finding distinct roles for semantic/phonological domains and representation/control processes.

The paper uses a reverse engineering approach to identify cortical architecture necessary for semantic cognition by testing computational models with varying structures.

This paper revisits semantic control using improved analysis and additional data, finding a left-focused network without parietal involvement.

The paper identifies three functional organisational principles in the inferior parietal cortex using fMRI data, showing domain-general neurocomputation with graded task engagement based on connectivity.