Matthew A. Lambon Ralph

The paper investigates how the anterior temporal lobes (ATL) and inferior frontal cortex (IFC) process conceptual specificity using MEG and EEG, finding distinct patterns for high-specificity concepts.

This study uses EEG and FPVS to show that semantic distance affects brain responses differently to words and pictures in healthy subjects.

The paper develops and validates two large-scale stimulus sets for measuring processing demand across semantic and visuospatial domains, matched using a speed-accuracy algorithm.

The paper uses representational similarity learning to show that multidimensional semantic information is encoded across multiple frequencies in human ventral anterior temporal lobe.

This study improves 7T-fMRI quality in susceptibility-prone regions using multi-echo and multiband sequences, enhancing BOLD signal and GLM precision.

This study identifies a shared neural network for semantic and social cognition through convergent evidence from neuroimaging analyses and language models.

The paper decodes animacy from ECoG data in the human anterior ventral temporal cortex, finding that semantic information is encoded by local populations and interacts with distributed cortical regions.

This study investigates how the brain processes semantic memory and composition by analyzing neural responses to words and phrases using magnetoencephalography and electroencephalography.

The paper uses comparative multivariate decoding to evaluate theories of semantic representation in the anterior temporal lobes and other brain regions, finding domain-general vector-space codes in these areas.

This study meta-analyzes tDCS studies to identify neural correlates of creative thought, finding left frontal anodal tDCS enhances creativity and related cognitive processes.

This study shows that transcranial ultrasound stimulation of the anterior temporal lobe improves semantic memory by altering brain structure, chemistry, and function.

This paper uses ALE meta-analysis to show that brain regions involved in creativity overlap with those involved in cognitive cornerstones like semantic memory and executive functions.

This paper uses representational similarity analysis to show how neural representations of cognitive control transition gradually across subregions of the lateral prefrontal cortex, with differences in dimensionality and generalisability.

This study uses FPVS to show robust word-selective EEG/MEG responses in English, even when words are embedded in pseudowords, with left-lateralized patterns observed.

This study investigates how functional brain networks change during tasks versus rest, showing task-evoked networks differ from resting-state networks in task-relatedness and spatial topology.

This paper evaluates ventricle-focused ultrasound stimulation as a control for transcranial FUS, finding it does not alter brain structure or function and is indistinguishable from sham stimulation.

This study uses fMRI-RSA to show that tool representations are distributed across parietal and anterior temporal regions, with distinct patterns for motor and functional aspects of tools.

This study investigates the role of the left posterior angular gyrus in autobiographical recall versus semantic memory using meta-analysis and fMRI, finding it specifically engaged in autobiographical tasks.

This study investigates word-selective neural responses using FPVS-oddball paradigms, finding linguistic factors, not statistical regularities, drive these responses, and attentional deployment enhances their amplitude.

The paper uses representational similarity learning to decode a graded multidimensional semantic space in the human anterior temporal cortex from ECoG data.

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 investigates whether context integration and update during language and semantic processing involve domain-specific or domain-general neural mechanisms using fMRI.

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 a distance-dependent thresholding method for probabilistic tractography to address systematic thresholding across different track lengths and studies.

This study evaluates visual deficits and lesion patterns in posterior cerebral artery stroke using a large cohort, finding mixed deficits and bilateral involvement in visual processing.

This study identifies graded multidimensional variations in cognition and brain volumes between Alzheimer's disease and posterior cortical atrophy, suggesting shared phenotypic continua rather than distinct categories.

This study uses fMRI to identify distinct neural correlates of episodic richness and semantic coherence during narrative reading, revealing functional dissociations within the posterior medial network.

The paper investigates how semantic control regions are topographically positioned between default-mode and multiple-demand networks, showing hybrid functional responses.

The paper maps lesion locations, structural, and functional disconnection patterns in semantic aphasia to semantic and executive impairments.