Jonathan Smallwood

The study shows that word representations and contextual properties dissociate along a cortical gradient during language processing, with sensory features at one end and contextual features at the other.

The paper develops a method to map thought patterns onto brain activity during movie-watching and finds sensory and association cortex play key roles in engagement and distraction.

This study uses experience sampling to examine covert goal-relevant states during task performance, finding that fronto-parietal network activity is linked to better task performance.

The paper uses variograms to show that function changes more rapidly in association cortex than in sensory and motor cortex, linked to intracortical myelin levels.

The paper shows that the frontoparietal control network's topographic organization supports flexible behavior by switching between unified and segregated functional states based on memory needs.

This study uses real-world experience sampling to analyze how daily activities influence thought patterns, finding that socializing and environmental factors shape ongoing thought.

The paper identifies three distinct connectivity patterns with motor cortex during sensorimotor adaptation, each linked to different learning processes and generalizes one to explicit motor learning.

This study correlates hippocampal sharp-wave ripples with self-generated thoughts in humans using local field potential recordings and experience sampling.

This study identifies reduced microstructural differentiation in TLE patients, linking it to cognitive dysfunction and network reorganization.

This study uses fMRI and manifold learning to show how cortical activity patterns change during sensorimotor adaptation, revealing contraction and expansion in specific brain regions.

This study assesses memory impairments in temporal lobe epilepsy patients across episodic, semantic, and spatial domains using behavioral tests and statistical analysis.

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 shares a multimodal MRI dataset for studying multiscale brain organization, including connectomes and gradients from multiple imaging modalities.

The paper examines how genetic and phylogenetic factors influence structure-function coupling in the human transmodal cortex and finds reduced genetic control in regions linked to social cognition and memory.

This study shows that LSD and psilocybin reduce hierarchical cortical organization by flattening connectivity gradients, supporting a mechanistic model of the psychedelic state.

The paper investigates how mind-wandering during reading affects neural coupling between the default mode network and visual regions, showing that decoupling impairs comprehension.

This study investigates how conceptual representations in the brain change with context, finding distinct brain regions involved in maintaining individual word meaning versus context-dependent meaning.

This study investigates how extrinsic reward and self-reference affect semantic retrieval in semantic aphasia patients and healthy controls, finding that rewards improve patient performance but not semantic retrieval.

This study characterizes the anatomy of the human default mode network using histology and neuroimaging, revealing its cytoarchitectural diversity and unique signal flow properties.

The paper investigates how long-range brain connections relate to microarchitectural and cognitive hierarchies in the human brain, finding that transmodal association cortices have distributed long-range connections linked to similar microarchitecture.

This study identifies hemispheric differences in a principal gradient of brain connectivity and links these differences to semantic cognition and visual reasoning.

This study examines structural and functional brain network development in adolescents, finding that structural wiring changes correlate with functional differentiation.

The paper examines how ongoing thought patterns vary across tasks and individual affective styles, identifying four patterns and their contextual and personal influences.

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.

The paper combines connectome analysis and computational models to show autism has altered subcortico-cortical interactions linked to microcircuit and macroscale network anomalies.

The paper investigates the role of default mode and multiple-demand networks in semantic goal information using multivoxel pattern decoding in a semantic feature matching task.

The paper introduces a new spatial memory task and shows its correlation with structural and functional brain differences in temporal cortices.

The paper investigates neural correlates of dispositional internally directed thought and visual imagery, finding associations between brain networks and self-reported traits.

This study identifies two distinct neural states during wakeful rest using machine learning and links them to specific psychological features like problem-solving and negative rumination.