Hallucinations in medical conditions

The paper uses an unsupervised computer-vision pipeline to analyze drawings of stroboscopically induced visual hallucinations, identifying recurring and novel geometric patterns.

The paper identifies distinct neural dynamics in resting state alpha band activity associated with different dimensions of hallucination proneness.

This study finds that older adults report fewer complex visual hallucinations than younger adults in an experimental setting, suggesting reduced hallucination proneness with age.

This study investigates the Sense of Reality through virtual reality simulations, finding that it varies with hallucination magnitude and is linked to physiological responses and a computational model comparing sensory input to an internal world model.

The paper investigates how altered sensory feedback processing and attention control relate to hallucination proneness by manipulating self-voice quality and measuring neural responses.

The paper investigates how hallucination proneness affects attentional control and sensory feedback processing of positive self-voice using EEG, finding no significant modulation by HP.

This study investigates how rhythmic flicker light stimulation affects thalamocortical connectivity and visual hallucinations in healthy participants.

The paper investigates how impaired motor-to-sensory transformation contributes to auditory hallucinations by analyzing EEG data from schizophrenic patients with and without hallucinations.

The paper investigates how hallucination proneness affects sensory feedback processing during self-voice production using EEG, finding altered N1 and N2 responses related to emotional voice quality and attention.

This paper uses deep neural networks to model and generate synthetic visual hallucinations that reflect distinct phenomenological characteristics of different aetiologies.

This study uses flicker light stimulation and fMRI to show that it increases thalamocortical connectivity between LGN, visual areas, and higher-order thalamic nuclei, correlating with visual hallucination intensity.

This paper develops a robotic procedure to induce auditory-verbal hallucinations in healthy individuals, supporting both self-monitoring and strong perceptual priors theories.

This study compares flicker and Ganzfeld techniques to determine if they share a common mechanism for inducing visual hallucinations, finding similar patterns in frequency and complexity.

The paper uses EEG resting state alpha dynamics to predict individual proneness to auditory hallucinations by analyzing brain state occupancy and duration.

This study uses spectral dynamic causal modelling to show that visual hallucinations in Parkinson's disease are linked to reduced bottom-up and increased top-down effective connectivity in the visual network.

The paper investigates resting state neural networks in Charles Bonnet Syndrome patients compared to those with visual loss and healthy controls, finding decreased and increased connectivity in specific brain regions.

The paper analyzes fMRI data to identify brain networks involved in radio speech listening and hallucination experiences in schizophrenia, finding speech-duration-dependent responses but not hallucination-duration-dependent ones.

This study uses robotics to induce hallucinations in Parkinson's disease patients and identifies a disrupted neural network associated with sensorimotor hallucinations.

The paper shows that neural activity in the ventro-medial frontal cortex precedes conscious awareness of entering or exiting a transient hallucinatory state.

This study finds that Parkinson’s disease patients with visual hallucinations show increased mind-wandering and stronger coupling between the primary visual cortex and default network.

The paper investigates how hallucination-prone individuals perceive speech-like acoustic features, finding they down-weight speech-typical low frequencies and prioritize high frequencies, with confidence influenced by hallucination proneness and schizotypy.

This paper identifies distinct neuroanatomical patterns of gray matter changes associated with hallucination status in psychiatric versus neurodegenerative disorders through meta-analyses and systematic reviews.

The paper investigates how structural network topology changes correlate with hallucinatory behavior severity in Parkinson’s disease using graph theory and connectivity analysis.

This study uses a hierarchical drift diffusion model to show that Parkinson’s disease patients with visual hallucinations have slower sensory evidence accumulation, suggesting impaired bottom-up processing and increased reliance on top-down influences.