Adam Hampshire

This study identifies structural brain deviations in post-COVID-19 patients using normative modelling and network analysis, linking them to TMPRSS2 expression and neural circuit disruptions.

This paper identifies altered dynamic brain states in Post-COVID-19 Syndrome using resting-state fMRI, showing reduced attentional states and increased limbic-DMN states linked to cognitive impairment and inflammation.

This study investigates brain changes after a single high-dose psilocybin administration, finding anatomical and functional alterations linked to improved well-being and cognitive flexibility.

This study uses multimodal MRI to find altered brain perfusion and oxygen metabolism in PCS, linked to cognitive and emotional symptoms.

This study examines how variations in sleep within and between older adults relate to cognitive performance, finding that sleep duration and efficiency affect reaction time but not other cognitive functions.

The paper investigates whether pre-stimulus brain oscillation phases causally influence sensory perception and finds that spurious correlations arise from acausal analyses rather than true causal links.

This study investigates the genetic relationship between depression symptoms and Alzheimer's disease using GWAS and finds significant genetic correlations but no causal link, suggesting proxy cases may drive the overlap.

This study validates non-invasive temporal interference stimulation of the human hippocampus, showing it can modulate activity and improve episodic memory.

This study examines how white matter structure and brain state interact to influence tDCS-induced changes in brain network activity in healthy and TBI participants.

This paper uses Bayesian optimisation with fMRI to rapidly map residual brain network function in stroke patients, revealing patient-specific abnormalities linked to behavioural performance.

The paper investigates neural correlates of visual, rule, and motor conflict using fMRI, finding distinct but overlapping activation patterns in Multiple Demand Cortex (MDC) regions.

This paper investigates how task-switching predictability affects posterior default-mode network activation using fMRI, finding increased PCC/PrCC activity during predictable switches.

This study contrasts hierarchical and multiple-demand theories of frontal lobe function during task-switching using fMRI, finding no abstraction hierarchy in PFC but increased PFC activity with switch costs.

This paper investigates how human brain network resources are optimised during learning complex tasks using self-ordered switching fMRI paradigms, finding that structured behaviour with low algorithmic complexity improves performance.

This study investigates whether working memory training benefits transfer across different paradigms and finds that transfer is constrained by the training paradigm and task-specific processes.

This study shows that transcranial direct current stimulation of the right inferior frontal gyrus modulates brain networks differently based on brain state and polarity.

This paper uses neuroadaptive Bayesian optimization to identify cognitive tasks that dissociate ventral and dorsal frontoparietal networks, finding tasks different from those predicted by meta-analysis.