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Although hallucinations are important and frequent symptoms in major psychiatric and neurological diseases, little is known about their brain mechanisms. Hallucinations are unpredictable and private experiences, making their investigation, quantification and assessment highly challenging. A major shortcoming in hallucination research is the absence of methods able to induce specific and short-lasting hallucinations, which resemble clinical hallucinations, can be elicited repeatedly and vary across experimental conditions. By integrating clinical observations and recent advances in cognitive neuroscience with robotics, we have designed a novel device and sensorimotor method able to repeatedly induce a specific, clinically relevant hallucination: presence hallucination. Presence hallucinations are induced by applying specific conflicting (spatiotemporal) sensorimotor stimulation including an upper extremity and the torso of the participant. Another, MRI-compatible, robotic device using similar sensorimotor stimulation permitted the identification of the brain mechanisms of these hallucinations. Enabling the identification of behavioral and a frontotemporal neural biomarkers of hallucinations, under fully controlled experimental conditions and in real-time, this method can be applied in healthy participants as well as patients with schizophrenia, neurodegenerative disease or other hallucinations. The execution of these protocols requires intermediate-level skills in cognitive neuroscience and MRI processing, as well as minimal coding experience to control the robotic device. These protocols take ~3 h to be completed.
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http://dx.doi.org/10.1038/s41596-022-00737-z | DOI Listing |
Cureus
August 2025
Translational Medicine, Baptist Health South Florida, Miami, USA.
In this report, we present the case of a 39-year-old immunocompetent female with acute meningitis/encephalitis secondary to human herpesvirus 6 (HHV-6). Her initial symptoms included fever, hallucinations, and tremors, which prompted a broad diagnostic workup for infectious and autoimmune causes of encephalopathy. Her cerebrospinal fluid (CSF) initially tested negative for viral pathogens.
View Article and Find Full Text PDFMov Disord Clin Pract
September 2025
Centre for Age-Related Medicine (SESAM), Stavanger University Hospital, Stavanger, Norway.
Background: The global burden of dementia is increasing, particularly in low- and middle-income countries. Dementia with Lewy bodies (DLB) is the second most common neurodegenerative dementia but remains underreported and frequently misdiagnosed. Its prevalence in Latin America is largely unknown.
View Article and Find Full Text PDFPLOS Digit Health
September 2025
Department of Dermatology, Stanford University, Stanford, California, United States of America.
Large Language Models (LLMs) are increasingly deployed in clinical settings for tasks ranging from patient communication to decision support. While these models demonstrate race-based and binary gender biases, anti-LGBTQIA+ bias remains understudied despite documented healthcare disparities affecting these populations. In this work, we evaluated the potential of LLMs to propagate anti-LGBTQIA+ medical bias and misinformation.
View Article and Find Full Text PDFJAMIA Open
October 2025
Division of Pulmonary and Critical Care, Brigham and Women's Hospital, Boston, MA, United States.
Objectives: Unstructured data, such as procedure notes, contain valuable medical information that is frequently underutilized due to the labor-intensive nature of data extraction. This study aims to develop a generative artificial intelligence (GenAI) pipeline using an open-source Large Language Model (LLM) with built-in guardrails and a retry mechanism to extract data from unstructured right heart catheterization (RHC) notes while minimizing errors, including hallucinations.
Materials And Methods: A total of 220 RHC notes were randomly selected for pipeline development and 200 for validation from the Pulmonary Vascular Disease Registry.
Eur Arch Psychiatry Clin Neurosci
September 2025
Department of Psychiatry, University of Pittsburgh, 121 Meyran Avenue, Pittsburgh, PA, 15213, USA.
Psychotic-like experiences (PLEs) -subclinical experiences or symptoms that resemble psychosis, such as hallucinations and delusional thoughts-often emerge during adolescence and are predictive of serious psychopathology. Understanding PLEs during adolescence is crucial due to co-occurring developmental changes in neural reward systems that heighten the risk for psychotic-related and affective psychopathology, especially in those with a family history of severe mental illness (SMI). We examined associations among PLEs, clinical symptoms, and neural reward function during this critical developmental period.
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