{"title":"The potential associations between acupuncture sensation and brain functional network: a EEG study.","authors":"Dongyang Shen, Banghua Yang, Jing Li, Jiayang Zhang, Yongcong Li, Guofu Zhang, Yanyan Zheng","doi":"10.1007/s11571-025-10233-1","DOIUrl":"10.1007/s11571-025-10233-1","url":null,"abstract":"<p><p>Acupuncture has been widely used as an effective treatment for post-stroke rehabilitation. However, the potential association between acupuncture sensation, an important factor influencing treatment efficacy, and brain functional network is unclear. This research sought to reveal and quantify the changes in brain functional network associated with acupuncture sensation. So multi-channel EEG signals were collected from 30 healthy participants and the Massachusetts General Hospital Acupuncture Sensation Scale (MASS) was utilized to assess their needling sensations. Phase Lag Index (PLI) was used to construct the brain functional network, which was analyzed with graph theoretic methods. It showed that in the needle insertion (NI) state the MASS Index was significantly higher than in the needle retention (NR) state (<i>P</i> < 0.001), and the mean values of PLI were also higher than in the Pre-Rest state and NR state significantly (<i>P</i> < 0.01). In the NI state global efficiency, local efficiency, nodal efficiency, and degree centrality were significantly higher than in the Pre-Rest state and the NR state (<i>P</i> < 0.05), while the opposite is true for the shortest path length (<i>P</i> < 0.01). Then Pearson correlation analysis showed a correlation between MASS Index and graph theory metrics (<i>P</i> < 0.05). Finally, Support Vector Regression (SVR) was used to predict the MASS Index with a minimum mean absolute error of 0.65. These findings suggest that the NI state of acupuncture treatment changes the structure of the brain functional network and affects the graph theory metrics of the brain functional network, which may be an objective biomarker for quantitative evaluation of acupuncture sensation.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s11571-025-10233-1.</p>","PeriodicalId":10500,"journal":{"name":"Cognitive Neurodynamics","volume":"19 1","pages":"49"},"PeriodicalIF":3.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11910458/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143647571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Statement of Retraction: Myricetin nanoliposomes induced SIRT3-mediated glycolytic metabolism leading to glioblastoma cell death.","authors":"","doi":"10.1080/21691401.2025.2465942","DOIUrl":"https://doi.org/10.1080/21691401.2025.2465942","url":null,"abstract":"","PeriodicalId":8736,"journal":{"name":"Artificial Cells, Nanomedicine, and Biotechnology","volume":"53 1","pages":"56"},"PeriodicalIF":4.5,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143717889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Transcriptome and nutritional composition analysis of stacked transgenic maize with insect resistance and herbicide tolerance.","authors":"Xiaoxing Yu, Hongyu Gao, Pengfei Wang","doi":"10.1080/21645698.2025.2472451","DOIUrl":"10.1080/21645698.2025.2472451","url":null,"abstract":"<p><p>The safety assessment of stacked transgenic crops is essential for their commercial cultivation. A crucial element of safety assessment is the nutritional evaluation of transgenic crops. Currently, profiling methods like transcriptome are employed as supplemental analytical tools to find the unintended effects of transgenic crops. In this study, stacked transgenic maize ZDRF8×nCX-1 was produced by crossing of two transgenic maize events ZDRF8 and nCX-1. This stacked transgenic maize expresses five genes: <i>cry1Ab</i>, <i>cry2Ab</i> and <i>g10evo-epsps</i> (from ZDRF8), as well as <i>cp4 epsps</i> and <i>P450-N-Z1</i> (from nCX-1). Molecular analysis showed that the insertion sites of target genes were not changed during stack breeding, and the target genes are effectively expressed at both RNA and protein levels in ZDRF8×nCX-1. Target trait analysis showed that ZDRF8×nCX-1 exhibits tolerant to glyphosate, flazasulfuron and MCPA, and is resistant to damage by corn borers. Transcriptome analysis revealed that gene-stacked maize ZDRF8×nCX-1 did not significantly alter transcriptome profiles compared to the transgenic maize events ZDRF8 and nCX-1. Nutritional composition analysis showed that the grain profile of ZDRF8×nCX-1 was substantially equivalent to that of the non-transgenic counterpart. These results suggest that hybrid stacking does not cause significantly unintended effects beyond providing the intended beneficial traits.</p>","PeriodicalId":54282,"journal":{"name":"Gm Crops & Food-Biotechnology in Agriculture and the Food Chain","volume":"16 1","pages":"216-234"},"PeriodicalIF":4.5,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11875497/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143525246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Svante Resjö, Iqra, Nam P Kieu, Muhammad Awais Zahid, Marit Lenman, Björn Andersson, Erik Andreasson
{"title":"Late blight field resistance in potatoes carrying <i>Solanum americanum</i> resistance genes (Rpi-amr3 and Rpi-amr1).","authors":"Svante Resjö, Iqra, Nam P Kieu, Muhammad Awais Zahid, Marit Lenman, Björn Andersson, Erik Andreasson","doi":"10.1080/21645698.2025.2479913","DOIUrl":"10.1080/21645698.2025.2479913","url":null,"abstract":"<p><p>Potato (<i>Solanum tuberosum</i> L.) is an important global crop, but its production is severely impacted by late blight, caused by the pathogen <i>Phytophthora infestans</i>. The economic burden of this disease is significant, and current control strategies rely mainly on fungicides, which face increasing regulatory and environmental constraints. To address this challenge, potatoes with resistance genes from wild potato relatives offer a promising solution. This study evaluated field resistance to late blight in potato lines (Maris Piper) containing the <i>Solanum americanum</i> resistance genes <i>Rpi-amr3</i> and <i>Rpi-amr1</i> across three years (2018-2020) in Sweden. Field trials were conducted under natural infection conditions to assess disease resistance. Results showed that the transgenic lines conferred strong resistance to late blight compared to the susceptible control. However, slight late blight symptoms were observed in the transgenic lines. These results highlight the effectiveness of <i>S. americanum</i> resistance genes in providing strong resistance, and emphasize the potential of stacking multiple R genes, including these genes to maintain efficacy. This research supports the development of resistant potato varieties as a sustainable alternative to chemical control, promoting food security and environmentally friendly agriculture.</p>","PeriodicalId":54282,"journal":{"name":"Gm Crops & Food-Biotechnology in Agriculture and the Food Chain","volume":"16 1","pages":"263-271"},"PeriodicalIF":4.5,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11934159/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143694331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cognitive NeurodynamicsPub Date : 2025-12-01Epub Date: 2025-04-19DOI: 10.1007/s11571-025-10241-1
Fanghai Zhang, Changlin Zhan
{"title":"Multiple generalized stability of nonlinear delayed systems subject to impulsive disturbance.","authors":"Fanghai Zhang, Changlin Zhan","doi":"10.1007/s11571-025-10241-1","DOIUrl":"https://doi.org/10.1007/s11571-025-10241-1","url":null,"abstract":"<p><p>The multiple generalized stability of nonlinear systems with impulsive disturbance and distributed delays is studied in this paper. By using the state space partition method, the number of multiple equilibrium points for <i>n</i>-dimensional system is given by <math> <mrow><msubsup><mo>∏</mo> <mrow><mi>i</mi> <mo>=</mo> <mn>1</mn></mrow> <mi>n</mi></msubsup> <mrow><mo>(</mo> <mn>2</mn> <msub><mi>K</mi> <mi>i</mi></msub> <mo>+</mo> <mn>1</mn> <mo>)</mo></mrow> </mrow> </math> with integer <math> <mrow><msub><mi>K</mi> <mi>i</mi></msub> <mo>≥</mo> <mn>0</mn></mrow> </math> , and the sufficient conditions for generalized stability of <math> <mrow><msubsup><mo>∏</mo> <mrow><mi>i</mi> <mo>=</mo> <mn>1</mn></mrow> <mi>n</mi></msubsup> <mrow><mo>(</mo> <msub><mi>K</mi> <mi>i</mi></msub> <mo>+</mo> <mn>1</mn> <mo>)</mo></mrow> </mrow> </math> equilibrium points are derived. Finally, the theoretical results are illustrated by using the simulations of an example.</p>","PeriodicalId":10500,"journal":{"name":"Cognitive Neurodynamics","volume":"19 1","pages":"64"},"PeriodicalIF":3.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12009267/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143961756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Barbara Kutryb-Zając, Ada Kawecka, Gabriela Harasim, Michał Bieńkowski, Klaudia Stawarska, Krzysztof Urbanowicz, Ryszard T Smoleński, Maciej M Kowalik, Magdalena Kołaczkowska, Piotr Siondalski
{"title":"Purinergic ecto-enzymes in human and ovine aortic valves: indicators of bacterial nanocellulose scaffold cellularization.","authors":"Barbara Kutryb-Zając, Ada Kawecka, Gabriela Harasim, Michał Bieńkowski, Klaudia Stawarska, Krzysztof Urbanowicz, Ryszard T Smoleński, Maciej M Kowalik, Magdalena Kołaczkowska, Piotr Siondalski","doi":"10.1080/21691401.2025.2502033","DOIUrl":"https://doi.org/10.1080/21691401.2025.2502033","url":null,"abstract":"<p><p>Purinergic signalling pathways play a vital role in the biological functions of the aortic valve (AV) through nucleotide and adenosine-dependent receptor effects. This study focused on characterizing a side-specific purinergic cascade in human non-stenotic and stenotic AVs, ovine native AVs and a novel bacterial nanocellulose (BNC) bio-prosthesis in an ovine model. Human stenotic AVs were collected during replacement surgeries, while non-stenotic AVs came from heart transplant patients. Ovine native AVs were sourced from domestic sheep, and the BNC prosthesis was implanted in the ovine aorta for six months, with hemodynamic monitoring throughout. Biochemical assessments revealed a beneficial ecto-enzyme pattern in non-stenotic and native AVs, contrasting with a detrimental pattern in stenotic valves. The BNC prosthesis demonstrated significantly lower nucleotide conversion activities than native valves and displayed increased peripheral blood mononuclear cell adhesion on its aortic surface. These findings suggest that nucleotide-converting ecto-enzymes could serve as markers for the biological activity of AV prostheses, highlighting the need for further studies to enhance the cellularization of BNC prostheses, potentially through adenosine-releasing scaffold modifications.</p>","PeriodicalId":8736,"journal":{"name":"Artificial Cells, Nanomedicine, and Biotechnology","volume":"53 1","pages":"219-230"},"PeriodicalIF":4.5,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143958081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cognitive NeurodynamicsPub Date : 2025-12-01Epub Date: 2025-05-19DOI: 10.1007/s11571-025-10258-6
Qun Guo, Ping Zhou, Xiaofeng Zhang, Zhigang Zhu
{"title":"Coherence resonance, parameter estimation and self-regulation in a thermalsensitive neuron.","authors":"Qun Guo, Ping Zhou, Xiaofeng Zhang, Zhigang Zhu","doi":"10.1007/s11571-025-10258-6","DOIUrl":"10.1007/s11571-025-10258-6","url":null,"abstract":"<p><p>In this work, two capacitors connected by a thermistor are used to explore the electrical property of double-layer membrane in a neuron, which the membrane property is sensitive to changes of temperature and two capacitive variables are used to measure the potentials of inner and outer membrane. The circuit characteristics and energy definition for the neural circuit and its equivalent neuron model in oscillator form are clarified from physical aspect. Considering the shape deformation of cell membrane under external physical stimuli and energy injection, intrinsic parameters of the neuron can be controlled with adaptive growth under energy flow, an adaptive control law is proposed to regulate the firing modes accompanying with energy shift. In presence of noisy excitation, coherence resonance can be induced and confirmed by taming the noise intensity carefully. The distributions of <i>CV</i> (coefficient variability) and average energy value < <i>H</i> > vs. noise intensity provide a feasible way to predict the coherence resonance and even stochastic resonance in the neural activities. Adaptive parameter observers are designed to identify the unknown parameters in this neuron model. The research findings of this study lay a foundation for the design of temperature-adaptive biomimetic neuromorphic devices and the research on multi-functional perception neural networks with temperature sensitivity.</p>","PeriodicalId":10500,"journal":{"name":"Cognitive Neurodynamics","volume":"19 1","pages":"75"},"PeriodicalIF":3.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12089602/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144119136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cognitive NeurodynamicsPub Date : 2025-12-01Epub Date: 2025-05-19DOI: 10.1007/s11571-025-10267-5
Hui Zhou, Xianjun Wang, Huaguang Gu, Yanbing Jia
{"title":"Deep brain stimulation-induced two manners to eliminate bursting for Parkinson's diseases: synaptic current and bifurcation mechanisms.","authors":"Hui Zhou, Xianjun Wang, Huaguang Gu, Yanbing Jia","doi":"10.1007/s11571-025-10267-5","DOIUrl":"10.1007/s11571-025-10267-5","url":null,"abstract":"<p><p>Although deep brain stimulation (DBS) is effective in treating Parkinson's disease (PD) related to bursting, the underlying mechanisms remain unclear. In the present paper, the dynamical and synaptic mechanisms are studied in a basal ganglia-thalamus model. Firstly, slow and large oscillations of synaptic gating variables/currents are identified as the cause of the irregular and non-synchronous bursting for PD, indicating that interruption of these slow modulations may be a feasible measure to treat PD. Secondly, strong DBS with high frequency applied to subthalamic nucleus (STN) can induce fast synchronous spiking in both STN and external globus pallidus (GPe), then interrupt the slow gating variables, thereby eliminating the irregular bursting. Meanwhile, the gating variables of the excitatory and inhibitory synapses respectively from STN and GPe to the internal globus pallidus (GPi) become fast. Finally, competition between these two opposite synapses can induce two manners to eliminate the bursting of GPi and restore the normal state, appearing in vast majority of parameter space composed of multiple synaptic conductances. One is the synchronous silence of GPi, and the other the synchronous regular fast spiking, which occurs for large conductance of the inhibitory and excitatory synapse, respectively. Both result in regular spiking of thalamus, via interrupting slow gating variables of synapse projected to thalamus. In addition, as the two conductances approach each other, the synaptic current to GPi oscillates around zero slowly, resulting in irregular firings of GPi and thalamus for PD in a narrow parameter space. Furthermore, the bursting observed in PD before DBS and three types of electrical activities of GPi during DBS are explained, using a saddle-node bifurcation of limit cycles and oscillation patterns of synaptic current. The distinction from the post inhibitory rebound bursting reported in previous studies is discussed. The results present the mechanisms for DBS to treat PD via eliminating bursting in wide parameter region.</p>","PeriodicalId":10500,"journal":{"name":"Cognitive Neurodynamics","volume":"19 1","pages":"78"},"PeriodicalIF":3.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12089561/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144119115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cognitive NeurodynamicsPub Date : 2025-12-01Epub Date: 2025-05-19DOI: 10.1007/s11571-025-10261-x
Megha Agarwal, Amit Singhal
{"title":"Efficient system for classifying cyclic alternating pattern phases in sleep.","authors":"Megha Agarwal, Amit Singhal","doi":"10.1007/s11571-025-10261-x","DOIUrl":"10.1007/s11571-025-10261-x","url":null,"abstract":"<p><p>Electroencephalogram (EEG) signals are a popular tool to analyze sleep patterns. Cyclic alternating patterns (CAP) can be observed in EEG signals during unconscious periods of sleep. Detailed study of CAP can help in early diagnosis of many sleep disorders. Firstly, the CAP cycles need to be segregated into their constituents, phase A and phase B periods. In this work, we develop an accurate and easy-to-implement system to distinguish between the two CAP phases. The EEG signals are denoised and divided into smaller segments for an easier processing. These segments are decomposed into different frequency sub-bands using zero-phase filtering. Thereafter, statistical features are extracted from the sub-band components, and significant features are selected using the Kruskal-Wallis test. We consider four different algorithms for classification, namely, k-nearest neighbour (kNN), support vector machine (SVM), bagged tree (BT) and neural network (NN). The classification results are compiled for the datasets that include healthy subjects and those suffering from insomnia. The BT classifier produces the best results for the combined balanced dataset, with 83.29% accuracy and 83.58% F-1 score. The proposed method is more accurate and efficient than the existing schemes and can be considered for widespread deployments in real-world scenarios.</p>","PeriodicalId":10500,"journal":{"name":"Cognitive Neurodynamics","volume":"19 1","pages":"79"},"PeriodicalIF":3.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12089587/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144119118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A multilayer deep neural network framework for hemodynamic assessment of cognitive load management during problem-solving tasks.","authors":"Priyanka Paul, Shaoni Banerjee, Apurba Nandi, Avik Kumar Das, Arijeet Ghosh","doi":"10.1007/s11571-025-10292-4","DOIUrl":"10.1007/s11571-025-10292-4","url":null,"abstract":"<p><p>Cognitive load refers to the mental effort required to process information and perform tasks, significantly influencing learning and performance outcomes. This paper presents a novel approach for cognitive load classification using a hybrid model that integrates Long Short-Term Memory (LSTM) networks with the Block Attention Module (BAM). Leveraging functional Near-Infrared Spectroscopy (fNIRS), we investigate the relationship between cognitive load and brain activity in a controlled experimental setting. Our methodology encompasses data collection from 50 participants engaged in various problem-solving tasks, with cognitive load categorized as high, medium, or low. The acquired fNIRS data underwent a rigorous preprocessing pipeline, including normalization and wavelet transform for feature extraction, enabling a comprehensive analysis of hemodynamic responses. The proposed model employs BAM to enhance feature representation by refining the importance of spatial and channel dimensions, thus improving the LSTM's ability to capture temporal dependencies in the data. The experimental results demonstrate significant performance improvements in cognitive load classification, showcasing the efficacy of the integrated LSTM-BAM architecture. This work not only contributes to the understanding of cognitive load dynamics but also highlights the potential of fNIRS as a non-invasive tool for real-time monitoring of cognitive performance, paving the way for advancements in instructional design and cognitive research.</p>","PeriodicalId":10500,"journal":{"name":"Cognitive Neurodynamics","volume":"19 1","pages":"104"},"PeriodicalIF":3.1,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12209089/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144552509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}