Frontiers in NeurosciencePub Date : 2025-03-05eCollection Date: 2025-01-01DOI: 10.3389/fnins.2025.1512799
Zhuozheng Wang, Yihan Wang
{"title":"Emotion recognition based on multimodal physiological electrical signals.","authors":"Zhuozheng Wang, Yihan Wang","doi":"10.3389/fnins.2025.1512799","DOIUrl":"10.3389/fnins.2025.1512799","url":null,"abstract":"<p><p>With the increasing severity of mental health problems, the application of emotion recognition techniques in mental health diagnosis and intervention has gradually received widespread attention. Accurate classification of emotional states is important for individual mental health management. This study proposes a multimodal emotion recognition method based on the fusion of electroencephalography (EEG) and electrocardiography (ECG) signals, aiming at the accurate classification of emotional states, especially for the three dimensions of emotions (potency, arousal, and sense of dominance). To this end, a composite neural network model (Att-1DCNN-GRU) is designed in this paper, which combines a one-dimensional convolutional neural network with an attention mechanism and gated recurrent units, and improves the emotion recognition by extracting the time-domain, frequency-domain, and nonlinear features of the EEG and ECG signals, and by employing a Random Forest approach to feature filtering, so as to improve the emotion recognition accuracy and robustness. The proposed model is validated on the DREAMER dataset, and the results show that the model achieves the three dimensions of emotion: value, arousal and dominance, with a high classification accuracy, especially on the 'value' dimension, with an accuracy of 95.95%. The fusion model significantly improves the recognition effect compared with the traditional emotion recognition methods using only EEG or ECG signals. In addition, to further validate the generalisation ability of the model, this study was also validated on the DEAP dataset, and the results showed that the model also performed well in terms of cross-dataset adaptation. Through a series of comparison and ablation experiments, this study demonstrates the advantages of multimodal signal fusion in emotion recognition and shows the great potential of deep learning methods in processing complex physiological signals. The experimental results show that the Att-1DCNN-GRU model exhibits strong capabilities in emotion recognition tasks, provides valuable technical support for emotion computing and mental health management, and has broad application prospects.</p>","PeriodicalId":12639,"journal":{"name":"Frontiers in Neuroscience","volume":"19 ","pages":"1512799"},"PeriodicalIF":3.2,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11919864/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143663316","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":"The systemic inflammation markers as potential predictors of disease progression and survival time in amyotrophic lateral sclerosis.","authors":"Ye Hong, Jian-Quan Shi, Shuai Feng, Shi-Qi Huang, Zhen-Hua Yuan, Shen Liu, Xiao-Hao Zhang, Jun-Shan Zhou, Teng Jiang, Hong-Dong Zhao, Ying-Dong Zhang","doi":"10.3389/fnins.2025.1552949","DOIUrl":"10.3389/fnins.2025.1552949","url":null,"abstract":"<p><strong>Introduction: </strong>Amyotrophic lateral sclerosis (ALS) is a fatal and untreatable neurodegenerative disease with only 3-5 years' survival time after diagnosis. Inflammation has been proven to play important roles in ALS progression. However, the relationship between systemic inflammation markers and ALS has not been well established, especially in Chinese ALS patients. The present study aimed to assess the predictive value of systemic inflammation markers including neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR), and systemic immune-inflammation index (SII) for Chinese amyotrophic lateral sclerosis (ALS).</p><p><strong>Methods: </strong>Seventy-two Chinese ALS patients and 73 controls were included in this study. The rate of disease progression was calculated as the change of Revised ALS Functional Rating Scale (ALSFRS-R) score per month. Patients were classified into fast progressors if the progression rate > 1.0 point/month and slow progressors if progression rate ≤ 1.0 point/month. The value of NLR, PLR, LMR, and SII were measured based on blood cell counts. The association between systemic inflammation markers and disease progression rate was confirmed by logistic regression analysis. Kaplan-Meier curve and Cox regression models were used to evaluate factors affecting the survival outcome of ALS patients.</p><p><strong>Results: </strong>For Chinese ALS patients, NLR, PLR and SII were higher, LMR was lower when compared with controls. All these four markers were proved to be independent correlated with fast progression of ALS. Both Kaplan-Meier curve and Cox regression analysis indicated that higher NLR and lower LMR were associated with shorter survival time in the ALS patients.</p><p><strong>Discussion: </strong>In conclusion, the systemic inflammation markers, especially NLR and LMR might be independent markers for rapid progression and shorter survival time in Chinese ALS patients.</p>","PeriodicalId":12639,"journal":{"name":"Frontiers in Neuroscience","volume":"19 ","pages":"1552949"},"PeriodicalIF":3.2,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11919871/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143662521","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}
Frontiers in NeurosciencePub Date : 2025-03-04eCollection Date: 2024-01-01DOI: 10.3389/fnins.2024.1505017
Ava Yektaeian Vaziri, Bahador Makkiabadi
{"title":"Accelerated algorithms for source orientation detection and spatiotemporal LCMV beamforming in EEG source localization.","authors":"Ava Yektaeian Vaziri, Bahador Makkiabadi","doi":"10.3389/fnins.2024.1505017","DOIUrl":"10.3389/fnins.2024.1505017","url":null,"abstract":"<p><p>This paper illustrates the development of two efficient source localization algorithms for electroencephalography (EEG) data, aimed at enhancing real-time brain signal reconstruction while addressing the computational challenges of traditional methods. Accurate EEG source localization is crucial for applications in cognitive neuroscience, neurorehabilitation, and brain-computer interfaces (BCIs). To make significant progress toward precise source orientation detection and improved signal reconstruction, we introduce the Accelerated Linear Constrained Minimum Variance (ALCMV) beamforming toolbox and the Accelerated Brain Source Orientation Detection (AORI) toolbox. The ALCMV algorithm speeds up EEG source reconstruction by utilizing recursive covariance matrix calculations, while AORI simplifies source orientation detection from three dimensions to one, reducing computational load by 66% compared to conventional methods. Using both simulated and real EEG data, we demonstrate that these algorithms maintain high accuracy, with orientation errors below 0.2% and signal reconstruction accuracy within 2%. These findings suggest that the proposed toolboxes represent a substantial advancement in the efficiency and speed of EEG source localization, making them well-suited for real-time neurotechnological applications.</p>","PeriodicalId":12639,"journal":{"name":"Frontiers in Neuroscience","volume":"18 ","pages":"1505017"},"PeriodicalIF":3.2,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11915719/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143656894","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":"Real-time behavioral monitoring of C57BL/6J mice during reproductive cycle.","authors":"Ariane Khatiz, Cassidy Tomlinson, Bohdana Ruzhytska, Erika Kathe Croft, Abdelaziz Amrani, Shannon Dunn, Adrianna Mendrek, Denis Gris","doi":"10.3389/fnins.2025.1509822","DOIUrl":"10.3389/fnins.2025.1509822","url":null,"abstract":"<p><strong>Introduction: </strong>The present study aims to identify differences in behavioral profiles in post-pubertal C57BL/6J males and female mice across distinct phases of the reproductive cycle in a home cage environment.</p><p><strong>Methods: </strong>To reduce human bias, we used an automated behavioral analysis system <i>HomeCageScan</i> from CleverSys Inc. Mice were monitored continuously, and resulting data were summarized across 24-h, light, and dark cycles. Behavioral activities of each period were analyzed using hierarchical clustering, factor analysis, and principal component analysis.</p><p><strong>Results: </strong>Females exhibited higher levels of physically demanding activities, including ambulatory and exploratory movements, particularly during estrus and metestrus, with estrus showing up to 30% more activity than males. In contrast, males consistently engaged in more sleep-related behaviors across all phases, with significantly higher engagement during the light cycle compared to females in proestrus and estrus (<i>p</i> < 0.0001); the extent of this sex difference was greater during proestrus and estrus than in metestrus and diestrus (<i>p</i> < 0.01). Notably, distinct patterns of sleep fragmentation were observed, with females experiencing greater disruptions during the light cycle, while males showed similar disruptions during the dark cycle. Feeding and resourcing behaviors were highest in males, showing up to 20% increase compared to cycling females, as well as significantly engaging in habituation-related behaviors such as feeding and digging. Interphase differences were observed within females, such as a significant increase of habituation-related activities during estrus compared to proestrus and diestrus (<i>p</i> < 0.05), while during the dark cycle, these activities peaked during the diestrus phase (<i>p</i> < 0.05). Female mice in the metestrus phase exhibited more sleep-related behaviors than those in proestrus.</p><p><strong>Discussion: </strong>Our study has revealed prevalent behavioral differences due to sex, and inter-phase variations by employing a continuous monitoring approach designed to reduce bias. This methodology ensures a comprehensive understanding of natural behavioral patterns and strategies.</p>","PeriodicalId":12639,"journal":{"name":"Frontiers in Neuroscience","volume":"19 ","pages":"1509822"},"PeriodicalIF":3.2,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11911481/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143648259","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}
Frontiers in NeurosciencePub Date : 2025-02-28eCollection Date: 2025-01-01DOI: 10.3389/fnins.2025.1545004
Brandon L Meyerink, Krishna S Karia, Mitchell J Rechtzigel, Prithvi R Patthi, Ariana C Edwards, Jessica M Howard, Elizabeth R Aaseng, Shamiq Aftab, Jill M Weimer, Louis-Jan Pilaz
{"title":"Mutation in <i>Wdr45</i> leads to early motor dysfunction and widespread aberrant axon terminals in a beta-propeller protein associated neurodegeneration (BPAN) patient-inspired mouse model.","authors":"Brandon L Meyerink, Krishna S Karia, Mitchell J Rechtzigel, Prithvi R Patthi, Ariana C Edwards, Jessica M Howard, Elizabeth R Aaseng, Shamiq Aftab, Jill M Weimer, Louis-Jan Pilaz","doi":"10.3389/fnins.2025.1545004","DOIUrl":"10.3389/fnins.2025.1545004","url":null,"abstract":"<p><p>Beta-propeller Protein Associated Neurodegeneration (BPAN) is a devastating neurodevelopmental and neurodegenerative disease linked to variants in <i>WDR45</i>. Currently, there is no cure or disease altering treatment for this disease. This is, in part, due to a lack of insight into early phenotypes of BPAN progression and <i>WDR45</i>'s role in establishing and maintaining neurological function. Here we generated and characterized a mouse model bearing a c52C > T BPAN patient variant in <i>Wdr45.</i> We show this mutation ablates <i>WDR45</i> protein expression and alters autophagy in the brain. Behavioral analysis of these mice revealed characteristic signs of BPAN including cognitive impairment, hyperactivity, and motor decline. We show these behaviors coincide with widespread glial activation and early development of axonal spheroids in multiple neuron subclasses throughout the brain. Several lines of evidence suggest these spheroids arise from axon terminals. Transcriptomic analysis uncovered multiple disrupted pathways in the cortex including genes associated with synapses, neurites, endosomes, endoplasmic reticulum, and ferroptosis. This is supported by accumulation of the iron regulating transferrin receptor 1 (TFRC) and the endoplasmic reticulum resident calreticulin (CALR) in the cortex as these animals age. CALR forms spheroid structures similar to the axonal spheroids seen in these animals. Taken together, our data suggest that WDR45 is necessary for healthy brain function and maintenance of axon terminals. This model opens the door to therapeutics targeting BPAN and further exploration of the role of WDR45 in neuronal function.</p>","PeriodicalId":12639,"journal":{"name":"Frontiers in Neuroscience","volume":"19 ","pages":"1545004"},"PeriodicalIF":3.2,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11907653/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143648028","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}
Frontiers in NeurosciencePub Date : 2025-02-28eCollection Date: 2025-01-01DOI: 10.3389/fnins.2025.1542224
Zhang Xiwen, Feng Qiyun, Li Chuqiao, Jiang Anqi, Wu Zhenzhen, Deng Qiong, Peng Yu, Wang Chunlin
{"title":"The assessment of autonomic nervous function in patients with gastrointestinal malignancies and its relationship with clinical characteristics.","authors":"Zhang Xiwen, Feng Qiyun, Li Chuqiao, Jiang Anqi, Wu Zhenzhen, Deng Qiong, Peng Yu, Wang Chunlin","doi":"10.3389/fnins.2025.1542224","DOIUrl":"https://doi.org/10.3389/fnins.2025.1542224","url":null,"abstract":"<p><strong>Introduction: </strong>The gastrointestinal tract is the organ most extensively distributed by autonomic nerves, and researches have indicated a relationship between automatic nerves and the progression of gastrointestinal cancers. This study aimed to evaluate the autonomic nervous function in patients with gastrointestinal cancer and to explore its relationship with clinical characteristics.</p><p><strong>Methods: </strong>We employed the Composite Autonomic Symptom Score 31 (COMPASS-31) questionnaire and cardiovascular autonomic reflex tests (CARTs) to evaluate autonomic nervous function, while also conducting a thorough analysis of clinical data.</p><p><strong>Results: </strong>Our results showed that low white blood cell (WBC) count (OR = 0.461, 95% CI: 0.218-0.976, <i>p</i> = 0.043) and increased maximum tumor diameter (OR = 1.619, 95% CI: 1.025-2.555, <i>p</i> = 0.039) were risk factors for autonomic dysfunction according to the COMPASS-31 assessment. While hypertension (OR = 5.747, 95% CI: 1.186-27.862, <i>p</i> = 0.030) and elevated platelet-to-albumin ratio (PAR) (OR = 1.256, 95% CI: 1.025-1.540, <i>p</i> = 0.028) were identified as independent risk factors for autonomic dysfunction based on the CARTs results. Combining the findings from COMPASS-31 and CARTs revealed that older age (OR = 1.133, 95% CI: 1.015-1.264, <i>p</i> = 0.027) and vascular invasion (OR = 7.706, 95% CI: 1.391-42.684, <i>p</i> = 0.019) were also independent risk factors for autonomic dysfunction.</p><p><strong>Conclusion: </strong>Our findings reveal that these specific factors related to gastrointestinal cancers significantly influence autonomic nervous function. It is essential to evaluate autonomic nervous function and its associated risk factors in patients with gastrointestinal malignancies, which provide new insights into the intervention strategies for cancer diseases.</p>","PeriodicalId":12639,"journal":{"name":"Frontiers in Neuroscience","volume":"19 ","pages":"1542224"},"PeriodicalIF":3.2,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11906409/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143648239","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}
Frontiers in NeurosciencePub Date : 2025-02-28eCollection Date: 2025-01-01DOI: 10.3389/fnins.2025.1515377
Alexandre Sayal, Bruno Direito, Teresa Sousa, Neomi Singer, Miguel Castelo-Branco
{"title":"Music in the loop: a systematic review of current neurofeedback methodologies using music.","authors":"Alexandre Sayal, Bruno Direito, Teresa Sousa, Neomi Singer, Miguel Castelo-Branco","doi":"10.3389/fnins.2025.1515377","DOIUrl":"https://doi.org/10.3389/fnins.2025.1515377","url":null,"abstract":"<p><p>Music, a universal element in human societies, possesses a profound ability to evoke emotions and influence mood. This systematic review explores the utilization of music to allow self-control of brain activity and its implications in clinical neuroscience. Focusing on music-based neurofeedback studies, it explores methodological aspects and findings to propose future directions. Three key questions are addressed: the rationale behind using music as a stimulus, its integration into the feedback loop, and the outcomes of such interventions. While studies emphasize the emotional link between music and brain activity, mechanistic explanations are lacking. Additionally, there is no consensus on the imaging or behavioral measures of neurofeedback success. The review suggests considering whole-brain neural correlates of music stimuli and their interaction with target brain networks and reward mechanisms when designing music-neurofeedback studies. Ultimately, this review aims to serve as a valuable resource for researchers, facilitating a deeper understanding of music's role in neurofeedback and guiding future investigations.</p>","PeriodicalId":12639,"journal":{"name":"Frontiers in Neuroscience","volume":"19 ","pages":"1515377"},"PeriodicalIF":3.2,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11906423/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143648013","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}
Frontiers in NeurosciencePub Date : 2025-02-28eCollection Date: 2025-01-01DOI: 10.3389/fnins.2025.1527148
Sarala N Malladi, Jan Skerswetat, Marianna E Schmidt, Roger B H Tootell, Eric D Gaier, Peter J Bex, David G Hunter, Shahin Nasr
{"title":"Decreased scene-selective activity within the posterior intraparietal cortex in amblyopic adults.","authors":"Sarala N Malladi, Jan Skerswetat, Marianna E Schmidt, Roger B H Tootell, Eric D Gaier, Peter J Bex, David G Hunter, Shahin Nasr","doi":"10.3389/fnins.2025.1527148","DOIUrl":"10.3389/fnins.2025.1527148","url":null,"abstract":"<p><strong>Introduction: </strong>Amblyopia is a developmental disorder associated with reduced performance in visually guided tasks, including binocular navigation within natural environments. To help understand the underlying neurological disorder, we used fMRI to test the impact of amblyopia on the functional organization of scene-selective cortical areas, including the posterior intraparietal gyrus scene-selective (PIGS) area, a recently discovered region that responds selectively to ego-motion within naturalistic environments.</p><p><strong>Methods: </strong>Nineteen amblyopic adults (10 females) and thirty age-matched controls (15 females) participated in this study. Amblyopic participants spanned a wide range of amblyopia severity, based on their interocular visual acuity difference and stereoacuity. The visual function questionnaire (VFQ-39) was used to assess the participants' perception of their visual capabilities.</p><p><strong>Results: </strong>Compared to controls, we found weaker scene-selective activity within the PIGS area in amblyopic individuals. By contrast, the level of scene-selective activity across the occipital place area (OPA), parahippocampal place area (PPA), and retrosplenial cortex (RSC) remained comparable between amblyopic and control participants. The participants' scores on \"general vision\" (VFQ-39 subscale) correlated with the level of scene-selective activity in PIGS.</p><p><strong>Discussion: </strong>These results provide novel and direct evidence for the impact of amblyopia on scene processing within the human brain, thus enabling future studies to potentially link these changes across the spectrum of documented disabilities in amblyopia.</p>","PeriodicalId":12639,"journal":{"name":"Frontiers in Neuroscience","volume":"19 ","pages":"1527148"},"PeriodicalIF":3.2,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11907652/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143648011","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}
Frontiers in NeurosciencePub Date : 2025-02-28eCollection Date: 2025-01-01DOI: 10.3389/fnins.2025.1478304
Asma Bibi, Famin Zhang, Jilong Shen, Ahmad Ud Din, Yuanhong Xu
{"title":"Behavioral alterations in antibiotic-treated mice associated with gut microbiota dysbiosis: insights from 16S rRNA and metabolomics.","authors":"Asma Bibi, Famin Zhang, Jilong Shen, Ahmad Ud Din, Yuanhong Xu","doi":"10.3389/fnins.2025.1478304","DOIUrl":"https://doi.org/10.3389/fnins.2025.1478304","url":null,"abstract":"<p><p>The gut and brain interact through various metabolic and signaling pathways, each of which influences mental health. Gut dysbiosis caused by antibiotics is a well-known phenomenon that has serious implications for gut microbiota-brain interactions. Although antibiotics disrupt the gut microbiota's fundamental structure, the mechanisms that modulate the response and their impact on brain function are still unclear. It is imperative to comprehend and investigate crucial regulators and factors that play important roles. We aimed to study the effect of long-term antibiotic-induced disruption of gut microbiota, host metabolomes, and brain function and, particularly, to determine the basic interactions between them by treating the C57BL/6 mice with two different, most commonly used antibiotics, ciprofloxacin and amoxicillin. Anxiety-like behavior was confirmed by the elevated plus-maze test and open field test. Gut microbes and their metabolite profiles in fecal, serum, and brain samples were determined by 16S rRNA sequencing and untargeted metabolomics. In our study, long-term antibiotic treatment exerted anxiety-like effects. The fecal microbiota and metabolite status revealed that the top five genera found were <i>Lactobacillus, Bacteroides, Akkermansia, Ruminococcus_gnavus_</i>group, and unclassified <i>norank_f_Muribaculaceae</i>. The concentration of serotonin, L-Tyrosine, 5-Hydroxy-L-tryptophan, L-Glutamic acid, L-Glutamate, 5-Hydroxyindole acetic acid, and dopaminergic synapsis was comparatively low, while adenosine was high in antibiotic-treated mice. The KEGG enrichment analysis of serum and brain samples showed that amino acid metabolism pathways, such as tryptophan metabolism, threonine metabolism, serotonergic synapsis, methionine metabolism, and neuroactive ligand-receptor interaction, were significantly decreased in antibiotic-treated mice. Our study demonstrates that long-term antibiotic use induces gut dysbiosis and alters metabolic responses, leading to the dysregulation of brain signaling molecules and anxiety-like behavior. These findings highlight the complex interactions between gut microbiota and metabolic functions, providing new insights into the influence of microbial communities on gut-brain communication.</p>","PeriodicalId":12639,"journal":{"name":"Frontiers in Neuroscience","volume":"19 ","pages":"1478304"},"PeriodicalIF":3.2,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11906700/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143647933","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":"Serum-derived exosomal microRNAs as biomarkers for postoperative delirium.","authors":"Maokai Xu, Yingjie Chen, Yujun Lin, Danfeng Wang, Xiaochun Zheng","doi":"10.3389/fnins.2025.1525230","DOIUrl":"https://doi.org/10.3389/fnins.2025.1525230","url":null,"abstract":"<p><strong>Introduction: </strong>Postoperative delirium (POD) is a frequent and challenging complication in elderly surgical patients, marked by abrupt cognitive and attentional disturbances. Current POD diagnosis depends on clinical assessments that are time-intensive and lack predictive accuracy before surgery. Although previous research has explored biomarkers such as neuroinflammatory factors and Alzheimer's-related proteins to enhance POD prediction, single molecular markers have proven insufficient for reliable prognosis.</p><p><strong>Methods: </strong>This study investigated serum exosomal miRNA expression profiles in postoperative patients to assess their association with POD. We compared miRNA expression between POD and non-POD groups through cognitive assessments and serum analyses. Additionally, enrichment analysis was conducted to determine the biological pathways regulated by differentially expressed miRNAs.</p><p><strong>Results: </strong>Our analysis identified 57 miRNAs with significantly altered expression between POD and non-POD patients, including 16 upregulated and 41 downregulated miRNAs in the POD group. Enrichment analysis revealed that these miRNAs are involved in genes regulating neurotrophin signaling, neuroactive ligand-receptor interactions, and pathways that influence neuronal plasticity and cell viability.</p><p><strong>Discussion: </strong>This study highlights specific miRNAs as potential biomarkers for POD and suggests their involvement in the underlying mechanisms of cognitive decline following surgery. By enhancing diagnostic capabilities and identifying potential therapeutic targets, our findings could lead to more effective POD management strategies for elderly patients. Further research is recommended to validate these miRNAs and evaluate their clinical utility for predictive screening and therapeutic interventions.</p>","PeriodicalId":12639,"journal":{"name":"Frontiers in Neuroscience","volume":"19 ","pages":"1525230"},"PeriodicalIF":3.2,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11906430/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143648236","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}