AI Article Synopsis
- - Cognitive Behavioral Therapy for Insomnia (CBT-I) is proven to be effective for treating insomnia, but its underlying neurophysiological mechanisms are not well understood.
- - This narrative review explores various scientific fields such as psychology, neurophysiology, and immunology to uncover how CBT-I may positively impact the central nervous system, immune response, and brain structure.
- - The review suggests that CBT-I enhances brain connectivity and gene expression linked to immune function, proposing an integrated model to guide future research into its neurophysiological effects.
Article Abstract
Cognitive behavioral therapy for insomnia (CBT-I) is a widely used psychological intervention known for its effectiveness in improving insomnia symptoms. However, the neurophysiological mechanisms underlying the cognitive-behavioral treatment of insomnia remain unclear. This narrative review aimed to elucidate the neurophysiological and molecular mechanisms of CBT-I, focusing on the fields of psychology, neurophysiology, neuroendocrinology, immunology, medical microbiology, epigenetics, neuroimaging and brain function. A comprehensive search was conducted using databases including: PubMed, Embase, PsycINFO and Web of Science, with customized search strategies tailored to each database that included controlled vocabulary and alternative synonyms. It revealed that CBT-I may have a beneficial effect on the central nervous system, boost the immune system, upregulate genes involved in interferon and antibody responses, enhance functional connectivity between the hippocampus and frontoparietal areas and increase cortical gray matter thickness. In conclusion, an integrated model is proposed that elucidates the mechanisms of CBT-I and offers a new direction for investigations into its neurophysiological mechanisms.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.31083/j.jin2311200 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Understanding Perceptions of Hepatitis C and Its Management Among People with Experience of Incarceration in Quebec, Canada: A Qualitative Study Guided by the Common Sense Self-Regulation Model.
Viruses
December 2024
Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, Canada.
Hepatitis C virus (HCV) disproportionately affects certain sub-populations, including people with experience of incarceration (PWEI). Little is known about how perceptions of HCV and treatment have changed despite simplifications in testing and treatment in carceral settings. Nineteen semi-structured interviews were conducted with people living with or having a history of HCV infection released from Quebec provincial prison.
View Article and Find Full Text PDFSystematic Review of EEG-Based Imagined Speech Classification Methods.
Sensors (Basel)
December 2024
Department of Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
This systematic review examines EEG-based imagined speech classification, emphasizing directional words essential for development in the brain-computer interface (BCI). This study employed a structured methodology to analyze approaches using public datasets, ensuring systematic evaluation and validation of results. This review highlights the feature extraction techniques that are pivotal to classification performance.
View Article and Find Full Text PDF: Moderate Cognitive Flexibility as a Key to Affective Flexibility Responses in Long-Term HRV.
Sensors (Basel)
December 2024
Department of Psychology, University of Turin, 10124 Turin, Italy.
This study examines the relationship between cognitive and affective flexibility, two critical aspects of adaptability. Cognitive flexibility involves switching between activities as rules change, assessed through task-switching or neuropsychological tests and questionnaires. Affective flexibility, meanwhile, refers to shifting between emotional and non-emotional tasks or states.
View Article and Find Full Text PDFExploring the Utility of the Muse Headset for Capturing the N400: Dependability and Single-Trial Analysis.
Sensors (Basel)
December 2024
Psychology Department, Middle Tennessee State University, Murfreesboro, TN 37132, USA.
Consumer-grade EEG devices, such as the InteraXon Muse 2 headband, present a promising opportunity to enhance the accessibility and inclusivity of neuroscience research. However, their effectiveness in capturing language-related ERP components, such as the N400, remains underexplored. This study thus aimed to investigate the feasibility of using the Muse 2 to measure the N400 effect in a semantic relatedness judgment task.
View Article and Find Full Text PDFChild-Centric Robot Dialogue Systems: Fine-Tuning Large Language Models for Better Utterance Understanding and Interaction.
Sensors (Basel)
December 2024
Department of Information Convergence Engineering, Pusan National University, Busan 46241, Republic of Korea.
Dialogue systems must understand children's utterance intentions by considering their unique linguistic characteristics, such as syntactic incompleteness, pronunciation inaccuracies, and creative expressions, to enable natural conversational engagement in child-robot interactions. Even state-of-the-art large language models (LLMs) for language understanding and contextual awareness cannot comprehend children's intent as accurately as humans because of their distinctive features. An LLM-based dialogue system should acquire the manner by which humans understand children's speech to enhance its intention reasoning performance in verbal interactions with children.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!