Prediction error processing and sharpening of expected information

Prediction error processing and sharpening of expected information

Scientific Report Background Introduction Perception and neuronal processing of sensory information are largely influenced by prior expectations. Perception is not merely passive reception, but an active inferential process by combining existing sensory information with prior information based on past experience and current context. The combination...

Revealing the Mechanisms of Semantic Satiation with Deep Learning Models

Revealing the Mechanisms of Semantic Satiation with Deep Learning Models

Deep Learning Model Reveals Mechanisms of Semantic Satiation Semantic satiation, the phenomenon where a word or phrase loses its meaning after being repeated many times, is a well-known psychological phenomenon. However, the micro-neural computational principles underlying this mechanism remain unknown. This paper uses a continuous coupled neural n...

Electrophysiological Signatures of Veridical Head Direction in Humans

Electrophysiological Signatures of Veridical Head Direction in Humans

Electrophysiological Signatures of Veridical Head Direction in Humans Navigation is one of the core components of human complex cognition, where head direction information is crucial for positioning oneself in space. However, due to the requirement of having the head fixed in a specific position during most neuroimaging experiments, understanding h...

Ventral Subiculum Promotes Wakefulness Through Several Pathways in Male Mice

The Ventral Subiculum Promotes Wakefulness Through Multiple Pathways in Male Mice Background The ventral subiculum (vsub) is a major output region of the hippocampus, playing a crucial role in motivation, stress integration, and anxiety-like behavior, all of which depend on a high state of wakefulness. However, the role of vsub in wakefulness and i...

Supervised Latent Factor Modeling Isolates Cell-Type-Specific Transcriptomic Modules That Underlie Alzheimer's Disease Progression

Overview A paper titled “Supervised latent factor modeling isolates cell-type-specific transcriptomic modules that underlie Alzheimer’s disease progression” was published in Communications Biology. The paper was co-authored by research scientists from institutions such as McGill University, Université de Montréal, Yale University, and Rush Universi...

A prognostic neural epigenetic signature in high-grade glioma

Study of Neuroepithelial Genetic Markers and Prognosis in High-Grade Gliomas Background and Research Motivation High-grade gliomas are highly malignant brain tumors with generally poor patient prognosis. Previous preclinical model studies have suggested that interactions between neural and tumor cells drive tumor growth, but clinical validation of ...

Cortical Gene Expression Architecture links Healthy Neurodevelopment to the Imaging, Transcriptomics and Genetics of Autism and Schizophrenia

Research Report: The Connection Between Cortical Gene Expression and Neurodevelopmental Disorders Research Background The anatomical and functional organization of the human brain is the result of the coordinated expression of numerous genes. It has been found that the first principal component (c1) of cortical gene expression plays a significant r...

Differential Cortical Layer Engagement During Seizure Initiation and Spread in Humans

Differential Cortical Layer Engagement During Seizure Initiation and Spread in Humans

Study on the Differences in Cortical Layers During Epileptic Seizure Onset and Spread Epilepsy is a neurological disorder that severely impacts patients’ quality of life, affecting approximately 1% of the global population. Among all epilepsy patients, nearly one-third are resistant to pharmaceutical treatments, known as drug-resistant epilepsy. Fo...

Cortex-wide Topography of 1/f-exponent in Parkinson’s Disease

Cortex-wide Topography of 1/f-exponent in Parkinson’s Disease

Topographical Map of the 1/f Index in the Whole Brain for Parkinson’s Disease Authors: Pascal Helson, Daniel Lundqvist, Per Svenningsson, Mikkel C. Vinding, Arvind Kumar Research Background Parkinson’s Disease (PD) is a progressive and debilitating brain disorder primarily characterized by motor dysfunction but also affecting perceptual and cogniti...

Beta to Theta Power Ratio in EEG Periodic Components as a Potential Biomarker in Mild Cognitive Impairment and Alzheimer's Dementia

Alzheimer’s Disease Research and Treatment Frontiers: Beta/Theta Power Ratio in EEG Periodic Components as a Potential Biomarker Background Introduction Alzheimer’s dementia (AD) is a progressively developing disease, accounting for 60% to 80% of all dementia cases [1]. In the early stages of AD, mild cognitive impairment (MCI) typically occurs, du...