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Language reconstruction from non-invasive brain recordings has been a long-standing challenge. Existing research has addressed this challenge with a classification setup, where a set of language candidates are pre-constructed and then matched with the representation decoded from brain recordings. Here, we propose a method that addresses language reconstruction through auto-regressive generation, which directly uses the representation decoded from functional magnetic resonance imaging (fMRI) as the input for a large language model (LLM), mitigating the need for pre-constructed candidates. While an LLM can already generate high-quality content, our approach produces results more closely aligned with the visual or auditory language stimuli in response to which brain recordings are sampled, especially for content deemed "surprising" for the LLM. Furthermore, we show that the proposed approach can be used in an auto-regressive manner to reconstruct a 10 min-long language stimulus. Our method outperforms or is comparable to previous classification-based methods under different task settings, with the added benefit of estimating the likelihood of generating any semantic content. Our findings demonstrate the effectiveness of employing brain language interfaces in a generative setup and delineate a powerful and efficient means for mapping functional representations of language perception in the brain.
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http://dx.doi.org/10.1038/s42003-025-07731-7 | DOI Listing |
Psychophysiology
March 2025
Department of Neurology, Neurocybernetics and Rehabilitation, Otto von Guericke University, Magdeburg, Germany.
Prospective memory (PM) is the ability to remember to execute future intentions. PM requires engagement of attentional networks, in which oscillatory activity in the alpha frequency range has been implicated. The left dorsolateral prefrontal cortex (DLPFC) and inferior parietal cortex are assumed to be engaged during PM tasks.
View Article and Find Full Text PDFAnn Ital Chir
March 2025
Department of Neurosurgery, Affiliated Hospital of Putian University, 351100 Putian, Fujian, China.
Aim: This study aims to investigate the impact of neuroendoscopic surgery on cerebral hemodynamics and functional recovery in patients with different brain hemorrhage severities.
Methods: This study included 161 patients with brain hemorrhage who were admitted to the Affiliated Hospital of Putian University, China, between January 2021 and January 2022. Patients were divided into a neuroendoscopy group and a minimally invasive drilling group based on the surgical techniques.
Therapie
March 2025
Département de pharmacologie, AP-HP, GHU Sorbonne université, centre régional de pharmacovigilance Pitié-Saint-Antoine, 75000 Paris, France. Electronic address:
Aims: Guillain-Barré syndrome (GBS) is a rare autoimmune-mediated disease that can occur in a post-vaccination context. During the vaccination surveillance program of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccines, reports of GBS as a possible adverse effect (AE) of SARS-CoV-2 vaccines have been reported. Our aim was to describe post-vaccine reports of GBS whatever the vaccine used.
View Article and Find Full Text PDFClin Neurophysiol
March 2025
Faculty of Sport and Health Sciences, University of Jyväskylä, P.O. BOX 35, FI-40014 Jyväskylä, Finland; Center for Interdisciplinary Brain Research, University of Jyväskylä, PO Box 35, FI-40014 Jyväskylä, Finland.
Objective: Diabetic sensorimotor peripheral neuropathy (DSPN) is a common complication of type 1 diabetes mellitus (T1DM). However, it is still unclear how the cortical processing of proprioceptive afference is altered due to DSPN.
Methods: Cortical responses to right and left ankle joint rotations were recorded with magnetoencephalography and pooled together in 20 T1DM participants and 20 healthy controls for source space comparisons.
Clin Neurophysiol
March 2025
Department of Human Neurosciences, Sapienza University, Rome, Italy. Electronic address:
Objective: Previous neuroimaging studies indicate complex network alterations in psychogenic non-epileptic seizures (PNES) patients, but brain activity modifications occurring during PNES remain unexplored. This study aimed to analyze EEG microstate metrics in PNES patients both during events and resting state to investigate the neurophysiological changes underlying these dissociative events.
Methods: We recruited 22 PNES patients and 24 age- and sex-matched healthy controls.
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