Jonathan Smallwood

This study examines brain-thought relationships during movie-watching, finding that sensory-related neural signatures are consistent across films, while memory-related processes vary with context and modeling approaches.

The paper examines how different types of event boundaries during movie-watching relate to visual, auditory, semantic features, thought patterns, and cortical states.

The paper shows that neural focus during tasks differs based on cognitive mode, with distinct brain activity patterns for arithmetic and comprehension tasks.

The paper identifies a topographic organization of mental imagery in the human parietal cortex, showing modality-specific regions and a central hub for multisensory imagery.

The paper examines the relationship between task context, thought patterns, and neural activity, finding that thought reliability varies with task context and is associated with MDN activity.

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.

The paper investigates body-wandering during rest, finding it linked to negative affect, autonomic arousal, and reduced social thoughts, while correlating with lower ADHD and depression symptoms.

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 examines how spatiotemporal brain activity propagations change from childhood to early adulthood, finding that certain propagation patterns become more prevalent with age and correlate with cognitive performance.

This study shows that human cortical dynamics are influenced by both local geometry and network topology, with transmodal regions showing additional dependence on microstructural and connectivity factors.

This paper introduces Feature Similarity (FS), a method to measure brain region interactions, showing it captures functional organization and task-specific dynamics better than traditional methods.

The paper uses fMRI to show that imagined social and solitary scenarios activate different patterns of the frontoparietal and default mode networks, revealing a gradient that reflects semantic differences in internal cognitive states.

The paper uses fMRI and TMS to show individual differences in how left anterior parietal cortex supports verbal short-term memory, with some relying more on semantic than phonological processing.

The paper examines how cognitive states like resting and movie watching affect large-scale brain functional connectivity using fMRI data from the HCP and PNI datasets.

This study uses experience sampling to measure daily thought patterns and links them to mental health, finding an 'Intrusive Distraction' pattern associated with anxiety and linked to social connectedness.

The paper uses kriging to show that task-induced brain activity increases can be predicted from activity decreases, revealing topographically determined antagonistic relationships.

This paper maps global cortical organization by integrating microstructural, connectivity, and functional data with cytoarchitectural maps, revealing a sensory-fugal gradient and functional diversity across brain areas.

The paper shares a multimodal 7T MRI dataset of ten healthy individuals, providing structural and functional brain data across multiple imaging modalities and parcellation scales.

The paper uses predictive modeling to show that stronger oral reading ability correlates with closer proximity between visual and association cortex in the brain.

The paper identifies brain networks associated with self-generated mental states using fMRI and experience sampling, finding distinct networks for visual and auditory imagining.

The paper identifies two distinct pathways between visual and default mode networks that support semantic and spatial cognition, showing their dissociation in functional connectivity and task responses.

This study shows that sleep deprivation disrupts prefrontal inhibition of memory retrieval, linking sleep loss to intrusive memories through impaired neural circuits.

The paper examines macro-scale brain activity patterns during wakeful rest, linking them to personality traits and ongoing thoughts by analyzing interactions between brain networks.

The paper predicts individual brain activity patterns during tasks using resting-state networks, showing task-specificity and relevance of cortical microstructure/morphology.

The paper shows that personality traits are more strongly associated with brain activity in specific tasks than in others, highlighting the need for context-specific analyses.

The paper investigates how brain states adapt to different semantic tasks, showing distinct activation patterns in cognitive control and default mode networks based on task demands.

This study investigates how epilepsy-related mesiotemporal pathology reorganizes episodic and semantic memory systems using functional MRI in TLE patients and healthy controls.

The paper investigates how different types of information retrieval affect default mode network (DMN) activation, finding distinct subnetworks for emotional and contextual associations and common effects of retrieval demands.

This study investigates how different subsystems of the default mode network (DMN) contribute to semantic cognition across various tasks and modalities, revealing distinct activation and deactivation patterns.

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