Brain Sciences最新文献

{"title":"Partner-Inflicted Brain Injury: Intentional, Concurrent, and Repeated Traumatic and Hypoxic Neurologic Insults.","authors":"Julianna M Nemeth, Clarice Decker, Rachel Ramirez, Luke Montgomery, Alice Hinton, Sharefa Duhaney, Raya Smith, Allison Glasser, Abigail Abby Bowman, Emily Kulow, Amy Wermert","doi":"10.3390/brainsci15050524","DOIUrl":"10.3390/brainsci15050524","url":null,"abstract":"<p><p>(1) Background: Traumatic brain injury (TBI) is caused from rapid head acceleration/deceleration, focal blows, blasts, penetrating forces, and/or shearing forces, whereas hypoxic-anoxic injury (HAI) is caused through oxygen deprivation events, including strangulation. Most service-seeking domestic violence (DV) survivors have prior mechanistic exposures that can lead to both injuries. At the time of our study, some evidence existed about the exposure to both injuries over the course of a survivor's lifetime from abuse sources, yet little was known about their co-occurrence to the same survivor within the same episode of physical intimate partner violence (IPV). To better understand the lived experience of service-seeking DV survivors and the context in which partner-inflicted brain injury (PIBI) is sustained, we sought to understand intentional brain injury (BI) exposures that may need to be addressed and accommodated in services. Our aims were to 1. characterize the lifetime co-occurrence of strangulation and intentional head trauma exposures from all abuse sources to the same survivor and within select physical episodes of IPV and 2. establish the lifetime prevalence of PIBI. (2) Methods: Survivors seeking DV services in the state of Ohio in the United States of America (U.S.) completed interview-administered surveys in 2019 (<i>n</i> = 47). Community-based participatory action approaches guided all aspects of the study development, implementation, and interpretation. (3) Results: The sample was primarily women. Over 40% reported having Medicaid, the government-provided health insurance for the poor. Half had less than a postsecondary education. Over 80% of participants presented to DV services with both intentional head trauma and strangulation exposures across their lifetime from intimate partners and other abuse sources (i.e., child abuse, family violence, peer violence, sexual assault, etc.), though not always experienced at the same time. Nearly 50% reported an experience of concurrent head trauma and strangulation in either the first or last physical IPV episode. Following a partner's attack, just over 60% reported ever having blacked out or lost consciousness-44% experienced a loss of consciousness (LOC) more than once-indicating a conservative estimate of a probable brain injury by an intimate partner. Over 80% of service-seeking DV survivors reported either a LOC or two or more alterations in consciousness (AICs) following an IPV attack and were classified as ever having a partner-inflicted brain injury. (4) Conclusions: Most service-seeking IPV survivors experience repetitive and concurrent exposures to abusive strangulation and head trauma through the life course and by intimate partners within the same violent event resulting in brain injury. We propose the use of the term partner-inflicted brain injury (PIBI) to describe the physiological disruption of normal brain functions caused by intentional, often concurrent and repeate","PeriodicalId":9095,"journal":{"name":"Brain Sciences","volume":"15 5","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12110188/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144156942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cognitive Behavioural Therapy (CBT) for Managing Tinnitus, Hyperacusis, and Misophonia: The 2025 Tonndorf Lecture.","authors":"Hashir Aazh","doi":"10.3390/brainsci15050526","DOIUrl":"10.3390/brainsci15050526","url":null,"abstract":"<p><p>Cognitive behavioural therapy (CBT) is an evidence-based intervention for managing distress associated with tinnitus, hyperacusis, and misophonia. This paper summarises key points from the 2025 Tonndorf Lecture presented at the third World Tinnitus Congress and the 14th International Tinnitus Seminar in Poland. The lecture addressed (1) the theoretical foundations of CBT for these conditions, (2) clinical evidence on CBT delivered by psychologists, audiologists, and digital self-help, and (3) the proportion of patients who may benefit from CBT. Research demonstrates that CBT can effectively reduce distress related to tinnitus, hyperacusis, and misophonia. Both psychologist- and audiologist-delivered CBT approaches have demonstrated significant improvements in reducing the impact of tinnitus, hyperacusis, and misophonia on patients' quality of life, while guided internet-based CBT also demonstrates positive outcomes. Unguided internet-based CBT is also effective, though it faces challenges such as higher dropout rates. Despite these promising results, not all patients experience the same level of benefit. Some continue to experience distress even after completing CBT, highlighting the need for alternative or complementary interventions and ongoing support. This paper estimates that approximately 1 in 52 individuals with tinnitus require CBT, indicating that while tinnitus is relatively common, the need for intensive therapy is comparatively small. To enhance treatment outcomes, future research should compare the effectiveness of psychologist- and audiologist-delivered CBT, explore hybrid models that combine face-to-face and digital interventions, and address challenges with internet-based CBT, particularly for hyperacusis and misophonia. Furthermore, incorporating neuroimaging and physiological measures in future randomised controlled trials could provide objective insights into the neural mechanisms underlying symptom improvement, ultimately helping to refine CBT interventions. Identifying characteristics of non-responders to CBT may also guide the development of more tailored therapeutic approaches.</p>","PeriodicalId":9095,"journal":{"name":"Brain Sciences","volume":"15 5","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12109689/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144156828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Unified Framework for Alzheimer's Disease Knowledge Graphs: Architectures, Principles, and Clinical Translation.","authors":"Jovana Dobreva, Monika Simjanoska Misheva, Kostadin Mishev, Dimitar Trajanov, Igor Mishkovski","doi":"10.3390/brainsci15050523","DOIUrl":"10.3390/brainsci15050523","url":null,"abstract":"<p><p>This review paper synthesizes the application of knowledge graphs (KGs) in Alzheimer's disease (AD) research, based on two basic questions, as follows: what types of input data are available to construct these knowledge graphs, and what purpose the knowledge graph is intended to fulfill. We synthesize results from existing works to illustrate how diverse knowledge graph structures behave in different data availability settings with distinct application targets in AD research. By comparative analysis, we define the best methodology practices by data type (literature, structured databases, neuroimaging, and clinical records) and application of interest (drug repurposing, disease classification, mechanism discovery, and clinical decision support). From this analysis, we recommend AD-KG 2.0, which is a new framework that coalesces best practices into a unifying architecture with well-defined decision pathways for implementation. Our key contributions are as follows: (1) a dynamic adaptation mechanism that adapts methodological elements automatically according to both data availability and application objectives, (2) a specialized semantic alignment layer that harmonizes terminologies across biological scales, and (3) a multi-constraint optimization approach for knowledge graph building. The framework accommodates a variety of applications, including drug repurposing, patient stratification for precision medicine, disease progression modeling, and clinical decision support. Our system, with a decision tree structured and pipeline layered architecture, offers research precise directions on how to use knowledge graphs in AD research by aligning methodological choice decisions with respective data availability and application goals. We provide precise component designs and adaptation processes that deliver optimal performance across varying research and clinical settings. We conclude by addressing implementation challenges and future directions for translating knowledge graph technologies from research tool to clinical use, with a specific focus on interpretability, workflow integration, and regulatory matters.</p>","PeriodicalId":9095,"journal":{"name":"Brain Sciences","volume":"15 5","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12110335/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144156850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Voice-Evoked Color Prediction Using Deep Neural Networks in Sound-Color Synesthesia.","authors":"Raminta Bartulienė, Aušra Saudargienė, Karolina Reinytė, Gustavas Davidavičius, Rūta Davidavičienė, Šarūnas Ašmantas, Gailius Raškinis, Saulius Šatkauskas","doi":"10.3390/brainsci15050520","DOIUrl":"10.3390/brainsci15050520","url":null,"abstract":"<p><p><b>Background/Objectives:</b> Synesthesia is an unusual neurological condition when stimulation of one sensory modality automatically triggers an additional sensory sensation in an additional unstimulated modality. In this study, we investigated a case of sound-color synesthesia in a female with impaired vision. After confirming a positive case of synesthesia, we aimed to determine the sound features that played a key role in the subject's sound perception and color development. <b>Methods:</b> We applied deep neural networks and a benchmark of binary logistic regression to classify blue and pink synesthetically voice-evoked color classes using 136 voice features extracted from eight study participants' voice recordings. <b>Results</b>: The minimum Redundancy Maximum Relevance algorithm was applied to select the 20 most relevant voice features. The recognition accuracy of 0.81 was already achieved using five features, and the best results were obtained utilizing the seventeen most informative features. The deep neural network classified previously unseen voice recordings with 0.84 accuracy, 0.81 specificity, 0.86 sensitivity, and 0.85 and 0.81 F1-scores for blue and pink classes, respectively. The machine learning algorithms revealed that voice parameters, such as Mel-frequency cepstral coefficients, Chroma vectors, and sound energy, play the most significant role. <b>Conclusions</b>: Our results suggest that a person's voice's pitch, tone, and energy affect different color perceptions.</p>","PeriodicalId":9095,"journal":{"name":"Brain Sciences","volume":"15 5","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12110112/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144156853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Physical, Cognitive, Social, and Functional Health Correlates of Major Depressive Disorder Subtypes: A Systematic Review.","authors":"Jen E McKeough, Christopher F Sharpley, Kirstan A Vessey, Vicki Bitsika, Rebecca J Williams, G Lorenzo Odierna, Ian D Evans","doi":"10.3390/brainsci15050525","DOIUrl":"10.3390/brainsci15050525","url":null,"abstract":"<p><strong>Background/objectives: </strong>Major Depressive Disorder (MDD) is a neuropsychiatric disorder affecting nearly 200 million people worldwide. While it has broad health effects, relatively little is known about how these vary across MDD 'subtypes', which reflect distinct symptom profiles. This systematic review examined the methods used to define several MDD subtypes and their associations with physical, cognitive, social, and functional health outcomes.</p><p><strong>Methods: </strong>A systematic search of PubMed was conducted in accordance with PRISMA 2020 guidelines to identify peer-reviewed studies published in English between 2014 and 2025. The final search was conducted on 21 January 2025. Studies were included if they examined adults with MDD subtypes and reported health-related outcomes. Risk of bias was assessed using the Newcastle-Ottawa Scale. A narrative synthesis was conducted due to heterogeneity in the subtype definitions and outcome measures.</p><p><strong>Results: </strong>Sixteen studies were included. Atypical and melancholic depression were most consistently associated with metabolic dysfunction, higher BMI, and a greater waist circumference. Melancholic depression was frequently associated with cognitive deficits, though results varied. Cognitive impairments were also observed in DSM-defined atypical depression, particularly in attention, vigilance, and social cognition. Anxious and melancholic depression may be associated with more severe social and functional impairment compared to other subtypes. However, the findings were limited by inconsistent definitions and outcome measures.</p><p><strong>Conclusions: </strong>Some subtypes, particularly atypical, melancholic, and anxious depression, are differentially associated with specific patterns of impairment, though inconsistencies limit firm conclusions.</p><p><strong>Registration: </strong>This review was retrospectively registered with the Open Science Framework (OSF): No specific funding was received.</p>","PeriodicalId":9095,"journal":{"name":"Brain Sciences","volume":"15 5","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12109850/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144156957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Validation of a New Stress Induction Protocol Using Speech Improvisation (IMPRO).","authors":"Marina Saskovets, Mykhailo Lohachov, Zilu Liang","doi":"10.3390/brainsci15050522","DOIUrl":"10.3390/brainsci15050522","url":null,"abstract":"<p><p><b>Background:</b> Acute stress induction is essential in psychology research for understanding physiological and psychological responses. In this study, 'acute stress' refers to a short-term, immediate stress response-distinct from chronic, long-term stress exposure. Traditional methods, such as the Trier Social Stress Test (TSST), have ecological validity and resource-efficiency limitations. This study introduces the Interactive Multitask Performance Response Observation (IMPRO) protocol, a novel stress-induction method utilizing speech improvisation in a dynamic and unpredictable social setting. <b>Methods:</b> Thirty-five healthy adults (aged 18-38 years; 19 males, 16 females) participated in the study. The IMPRO protocol consisted of three speech improvisation tasks with increasing cognitive and social stressors. Salivary cortisol was used as a biochemical marker of acute stress, while electrodermal activity (EDA) provided real-time autonomic arousal measurements. Stress responses were assessed using paired <i>t</i>-tests for cortisol levels and repeated-measures ANOVA for EDA variations across experimental stages. <b>Results:</b> Salivary cortisol levels significantly increased from baseline (M = 2.68 nM, SD = 0.99) to post-task (M = 3.54 nM, SD = 1.25, <i>p</i> = 0.001, Cohen's d = 0.59), confirming hypothalamic-pituitary-adrenal (HPA) axis activation. EDA showed a significant rise during the anticipation phase (<i>p</i> < 0.001), peaking at the final task and decreasing during recovery (η² = 0.643). <b>Conclusions:</b> The IMPRO protocol effectively induces acute stress responses, providing a scalable, ecologically valid alternative to traditional stress paradigms. Its low-cost, adaptable design makes it ideal for research in psychology, neuroscience, and behavioral sciences. Future studies should explore its application in clinical populations and group settings.</p>","PeriodicalId":9095,"journal":{"name":"Brain Sciences","volume":"15 5","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12110528/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144156852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Image Fusion of High-Resolution DynaCT and T2-Weighted MRI for Image-Guided Programming of dDBS.","authors":"Fadil Al-Jaberi, Matthias Moeskes, Martin Skalej, Melanie Fachet, Christoph Hoeschen","doi":"10.3390/brainsci15050521","DOIUrl":"10.3390/brainsci15050521","url":null,"abstract":"<p><p><b>Objectives:</b> This study aimed to develop a semi-automated registration method for aligning preoperative non-contrast T2-weighted MRI with postoperative high-resolution cone-beam CT (DynaCT) in patients undergoing directional deep brain stimulation (dDBS) surgery targeting the subthalamic nucleus (STN). The aim was to facilitate image-guided programming of DBS devices and postoperative verification of the alignment of segmented contacts. <b>Materials and Methods:</b> A dataset of ten patients undergoing bilateral dDBS implantation was retrospectively collected, including DynaCT (acquired postoperatively) and non-contrast T2-weighted MRI (obtained preoperatively). A semi-automated registration method was used, employing manual initialization due to dissimilar anatomical information between DynaCT and T2-weighted MRI. Image visualization, initial alignment using a centered transformation initializer, and single-resolution image registration involving the Simple Insight Toolkit (SimpleITK) library were performed. Manual landmark-based alignment based on anatomical landmarks and evaluation metrics such as Target Registration Error (TRE) assessed alignment accuracy. <b>Results:</b> The registration method successfully aligned all images. Quantitative evaluation revealed an average of the mean TRE of 1.48 mm across all subjects, indicating satisfactory alignment quality. Multiplanar reformations (MPRs) based on electrode-oriented normal vectors visualized segmented contacts for accurate electrode placement. <b>Conclusions:</b> The developed method demonstrated successful registration between preoperative non-contrast T2-weighted MRI and postoperative DynaCT, despite dissimilar anatomical information. This approach facilitates accurate alignment crucial for DBS programming and postoperative verification, potentially reducing the programming time of the DBS. The study underscores the importance of image quality, manual initialization and semi-automated registration methods for successful multimodal image registration in dDBS procedures targeting the STN.</p>","PeriodicalId":9095,"journal":{"name":"Brain Sciences","volume":"15 5","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12110002/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144156733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neurophysiological Approaches to Lie Detection: A Systematic Review.","authors":"Bewar Neamat Taha, Muhammet Baykara, Talha Burak Alakuş","doi":"10.3390/brainsci15050519","DOIUrl":"10.3390/brainsci15050519","url":null,"abstract":"<p><p><b>Background and Objectives:</b> Lie detection is crucial in domains such as security, law enforcement, and clinical assessments. Traditional methods suffer from reliability issues and susceptibility to countermeasures. In recent years, electroencephalography (EEG) and particularly the Event-Related Potential (ERP) P300 component have gained prominence for identifying concealed information. This systematic review aims to evaluate recent studies (2017-2024) on EEG-based lie detection using ERP P300 responses, especially in relation to recognized and unrecognized face stimuli. The goal is to summarize commonly used EEG signal processing techniques, feature extraction methods, and classification algorithms, identifying those that yield the highest accuracy in lie detection tasks. <b>Methods:</b> This review followed PRISMA guidelines for systematic reviews. A comprehensive literature search was conducted using IEEE Xplore, Web of Science, Scopus, and Google Scholar, restricted to English-language articles from 2017 to 2024. Studies were included if they focused on EEG-based lie detection, utilized experimental protocols like Concealed Information Test (CIT), Guilty Knowledge Test (GKT), or Deceit Identification Test (DIT), and evaluated classification accuracy using ERP P300 components. <b>Results:</b> CIT with ERP P300 was the most frequently employed protocol. The most used preprocessing method was Bandpass Filtering (BPF), and the Discrete Wavelet Transform (DWT) emerged as the preferred feature extraction technique due to its suitability for non-stationary EEG signals. Among classification algorithms, Support Vector Machine (SVM), Linear Discriminant Analysis (LDA), and Convolutional Neural Networks (CNN) were frequently utilized. These findings demonstrate the effectiveness of hybrid and deep learning-based models in enhancing classification performance. <b>Conclusions:</b> EEG-based lie detection, particularly using the ERP P300 response to face recognition tasks, shows promising accuracy and robustness compared to traditional polygraph methods. Combining advanced signal processing methods with machine learning and deep learning classifiers significantly improves performance. This review identifies the most effective methodologies and suggests that future research should focus on real-time applications, cross-individual generalization, and reducing system complexity to facilitate broader adoption.</p>","PeriodicalId":9095,"journal":{"name":"Brain Sciences","volume":"15 5","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12110709/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144156922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Co-Community Network Analysis Reveals Alterations in Brain Networks in Alzheimer's Disease.","authors":"Xiaodong Wang, Zhaokai Zhang, Lingli Deng, Jiyang Dong","doi":"10.3390/brainsci15050517","DOIUrl":"10.3390/brainsci15050517","url":null,"abstract":"<p><p><b>Background</b>: Alzheimer's disease (AD) is a common neurodegenerative disease. Functional magnetic resonance imaging (fMRI) can be used to measure the temporal correlation of blood-oxygen-level-dependent (BOLD) signals in the brain to assess the brain's intrinsic connectivity and capture dynamic changes in the brain. In this study, our research goal is to investigate how the brain network structure, as measured by resting-state fMRI, differs across distinct physiological states. <b>Method:</b> With the research goal of addressing the limitations of BOLD signal-based brain networks constructed using Pearson correlation coefficients, individual brain networks and community detection are used to study the brain networks based on co-community probability matrices (CCPMs). We used CCPMs and enrichment analysis to compare differences in brain network topological characteristics among three typical brain states. <b>Result:</b> The experimental results indicate that AD patients with increasing disease severity levels will experience the isolation of brain networks and alterations in the topological characteristics of brain networks, such as the Somatomotor Network (SMN), dorsal attention network (DAN), and Default Mode Network (DMN). <b>Conclusion:</b> This work suggests that using different data-driven methods based on CCPMs to study alterations in the topological characteristics of brain networks would provide better information complementarity, which can provide a novel analytical perspective for AD progression and a new direction for the extraction of neuro-biomarkers in the early diagnosis of AD.</p>","PeriodicalId":9095,"journal":{"name":"Brain Sciences","volume":"15 5","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12110574/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144156826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Anti-NMDA Receptor Encephalitis: A Narrative Review.","authors":"Vlad Pădureanu, Dalia Dop, Rodica Pădureanu, Denisa Floriana Vasilica Pîrșcoveanu, Gabriela Olaru, Ioana Streata, Ana Maria Bugă","doi":"10.3390/brainsci15050518","DOIUrl":"10.3390/brainsci15050518","url":null,"abstract":"<p><p>Antibodies against the NR1 or NR2 subunits of the NMDA receptor are linked to anti-N-methyl-D-aspartate (NMDA) receptor encephalitis, a type of encephalitis that mainly affects women. Clinicians who treat patients of all ages should be aware of this type of encephalitis since it may be a treatable differential for symptoms and indicators observed in neurology and psychiatric clinics. Auditory and visual hallucinations, delusions, altered behavior (often accompanied by agitation), reduced consciousness, motor disruption (from dyskinesia to catatonia), seizures, and autonomic dysfunction are typical clinical characteristics. In recent years, the incidence of autoimmune encephalitis diagnoses has markedly risen among adults, children, and adolescents. This fact is unequivocally connected to the dynamic evolution of novel diagnostic techniques and the advancement of medical knowledge. A specific variant of this illness is anti-NMDA receptor encephalitis. Psychiatrists frequently serve as the initial specialists to treat patients with this diagnosis, owing to the manifestation of psychiatric symptoms associated with the condition. The differential diagnosis is quite challenging and predominantly relies on the patient's history and the manifestation of characteristic clinical signs. Given its high prevalence, anti-NMDA receptor encephalitis should be included in the differential diagnosis in routine psychiatric treatment. We provide an overview of the research on the condition, covering its prognosis, management, epidemiology, differential diagnosis, and clinical presentation.</p>","PeriodicalId":9095,"journal":{"name":"Brain Sciences","volume":"15 5","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12110449/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144156571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}