Ajay D. Halai

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.

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.

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 compares multi gradient echo and multi band fMRI protocols during a semantic task, finding multi-band improves activation detection and decoding, while multi-echo enhances sensitivity in susceptibility-prone regions.

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

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.

The paper uses fMRI data to show how the principal gradient of connectivity in the cerebral cortex changes during semantic tasks, revealing how strong conceptual links are associated with separation of DMN from sensory-motor systems.

The paper investigates how semantic control relates to creativity in verbal associations by analyzing neural networks involved in retrieving strongly and weakly related word pairs.

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

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.

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

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.