Matthew A. Lambon Ralph

The paper identifies task-specific and domain-general brain networks involved in semantic cognition using ICA and shows how their interactions vary with task difficulty.

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 uses fMRI to investigate how default network and semantic network encode social concepts, finding the default network better represents self vs. other distinctions.

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

This study investigates the functional and structural differences between ventral and dorsal lateral parietal cortex in semantic and episodic memory tasks using fMRI and DTI data.

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

The paper investigates the neural mechanisms of vocabulary acquisition in adults using functional neuroimaging, finding that newly learned words engage both episodic memory and semantic language regions, with hippocampal activity predicting long-term retention.

This study shows semantic information in human ventral anterior temporal cortex is dynamically distributed with stable and changing elements, supporting a hub-like role in semantic networks.

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

This study uses VBM to show that one session of cTBS reduces gray matter in the left ATL and cerebellum and alters functional connectivity and reaction times in semantic tasks.

The paper examines neural coding of semantic and non-semantic control demands using fMRI and finds distinct and common patterns in semantic and multiple-demand networks.

This study investigates neurocomputational mechanisms of cognitive resilience by examining semantic network dynamics under task difficulty manipulations, finding increased functional connectivity linked to better performance.

This study extends the triangle model of reading by incorporating visual processing, demonstrating that both typical and impaired reading can be simulated, including central and peripheral dyslexia.

This study investigates how different frequencies of rTMS over the anterior temporal lobe affect semantic performance, finding that 20Hz enhances and 1Hz impairs semantic tasks.

This study uses Activation Likelihood Estimation to analyze language network activation in post-stroke aphasia and healthy controls, finding that pre-existing regions are less consistently activated in aphasia, with increased activation in right hemisphere executive regions.

The paper shows a strong correlation between beat perception and speech fluency in post-stroke aphasia, suggesting a link between auditory processing and language output.

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

The paper develops a neurocomputational model to simulate language production in healthy individuals and aphasia recovery, explaining lateralization and plasticity mechanisms.

The paper compares short and long language batteries for stroke aphasia, develops a data-reduced version, and identifies neural correlates of language deficits.

The paper identifies two independent cognitive dimensions in Logopenic Progressive Aphasia using principal component analysis, revealing non-linguistic cognitive variability independent of language deficits.

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.

This paper identifies two distinct subsystems within the default network that support different forms of internally oriented cognition based on functional profiles and task-context preferences.

This paper uses fMRI to identify neural networks involved in forming and updating semantic gestalts during narrative processing, revealing distinct roles for the anterior temporal lobe and fronto-parietal networks.

This study uses intraoperative cortico-cortical evoked potentials to map connectivity gradients in the human left inferior frontal gyrus, revealing distinct connections between its subdivisions and temporal lobe regions.

This study uses PCA to analyze lesion patterns in post-stroke aphasia, identifying vascular-based clusters and linking them to cognitive and linguistic deficits.

This study compares primary progressive aphasia and post-stroke aphasia using multiple linguistic and cognitive tasks, revealing graded variations rather than categorical boundaries.

This study uses TMS to show that the left angular gyrus is causally involved in information buffering and context formation during narrative reading.

This study develops a unified neurocognitive model of anterior temporal lobe contributions to semantics, language, social behavior, and face recognition using data from semantic dementia patients.

This paper develops a computational model of lexical decision that integrates orthographic, phonological, and semantic processing, capturing both normal and impaired reading patterns.