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IEEE International Symposium on Biomedical Imaging

作者： Haoying Bai Tongtong Che Jichang Zhang Shuyu Li State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing China

ISBN: (数字)9798331520526

ISBN: (纸本)9798331520533

Magnetic resonance imaging (MRI) is crucial for medical diagnosis but often suffers from various degradations, such as noise, motion artifacts, and intensity inhomogeneity, leading to misdiagnoses or suboptimal treatment options. Existing methods typically focus on two-dimensional (2D) slices or individual types of degradation, which limits flexibility and applicability. This paper proposes BMENet: a two-stage three-dimensional (3D) Brain MRI Enhancement Network, which is designed to simultaneously handle denoising, artifact removal, and intensity inhomogeneity correction. In the first stage, we use a 2D slice coarse enhancement model to remove the bulk of the degradation; in the second stage, a 3D fine control latent diffusion generation model is used to restore missing details. Additionally, in the second stage, an edge-sensitive strategy is used to priority fine structural details at tissue boundaries, and a progressive constraint mechanism is applied to guide recovery. We train and test the proposed method on T1-weighted brain MRI images. Experimental results demonstrate that BMENet outperforms several state-of-the-art (SOTA) techniques in both quantitative and visual evaluations. Additionally, we conducted segmentation tests, which showed that the segmentation of brain regions improved significantly after the enhancement of degraded images. The relevant code can be found at: https://***/LSYlab/***.

关键词： Degradation Solid modeling Image segmentation Visualization Three-dimensional displays Magnetic resonance imaging Image edge detection Brain modeling Nonhomogeneous media Motion artifacts

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Direction-Selective Neurons in Macaque V4

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Journal of neurophysiology 2025年第5期133卷 2025 Mar 13页

作者： Pengcheng Li Heng Ma Haidong D Lu State Key Laboratory of Cognitive Neuroscience and Learning IDG/McGovern Institute for Brain Research Beijing Normal University Beijing 100875 China.

In mammalian visual system, direction-selective (DS) neurons prefer visual motion in a particular direction and are specialized for visual motion processing. In area V4 of the macaque, about 13% neurons are direction-selective and form clusters (DS domains). The functional role of DS neurons in this form-processing area is still unknown. We implanted electrode arrays targeting these DS domains, and recorded neurons' responses to moving stimuli such as gratings and simple shapes. We found that, DS neurons were similar to non-DS neurons in their receptive field sizes, and orientation-selectivity properties. However, population-wise, DS neurons responded slower and had lower firing rates than non-DS neurons, contrary to their traditional role in motion processing. In addition, direction selectivity of V4 neurons was stimulus-dependent (i.e., not invariant). DS neurons identified with grating stimuli may not exhibit direction selectivity to other types of stimuli such as random dots, or contour shapes. These results suggest that, unlike DS neurons in other areas, V4 DS neurons may have a unique origin for their direction selectivity, and nontraditional roles in visual motion processing.

关键词： V4 direction-selectivity macaque response latency

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Frequency-specific network connectivity impairments linked to suicide attempts in major depressive disorder during the GO/NOGO task

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Journal of Affective Disorders 2025年 382卷 407-416页

作者： Dai, Zhongpeng Xia, Yi Zhou, Hongliang Chen, Zhilu Zhu, Rongxin Yao, Zhijian Lu, Qing State Key Laboratory of Brain and Cognitive Sciences Laboratory of Neuropsychology & Human Neuroscience The University of Hong Kong Hong Kong School of Biological Sciences & Medical Engineering Child Development and Learning Science Key Laboratory of Child Development and Learning Science Ministry of Education Research Center for Learning Science Southeast University Nanjing 210096 China Department of Psychiatry the Affiliated Brain Hospital of Nanjing Medical University Nanjing 210029 China Nanjing Brain Hospital Medical School of Nanjing University Nanjing 210093 China

Background: Major depressive disorder (MDD) is a main risk factor of suicide, emphasizing the urgent need for understanding the neurobiological mechanisms underlying suicide attempts (SAs) in depressive patients. We hypothesized that aberrant frequency-specific functional connectivity patterns underlying an executive and inhibition task might be associated with SA in depression. Methods: The current study enrolled 143 subjects including 43 healthy controls and 87 patients with MDD (43 patients with SA and 44 without SA), who attended a GO/NOGO task during the magnetoencephalography recording. Time-frequency features in the whole-brain sensors and frequency-specific brain network connectivity patterns were estimated. Behavioral data was recorded during the tasks and neurocognitive assessments were conducted. Results: The SA group exhibited poorest behavioral and neurocognitive assessments performances. Decreased alpha/beta oscillations of the GO condition and increased alpha/beta oscillations of NOGO condition were observed in the SA group. Hypo-activated frontal-limbic connectivity in the alpha band and frontal-occipital connectivity in the beta band were observed in the SA group during the GO trials, meanwhile, hyper-activated frontal-temporal connectivity in the alpha band and frontal-parietal connectivity in the beta band were associated with SA during the NOGO trials. Frequency-specific features were correlated with the severity of suicide risk, neurocognitive assessments, and could be used to predict potential SAs. Conclusions: Neuroimaging and neurocognitive evidences supported altered alpha/beta oscillations and connectivity patterns associated with SA in depression, suggesting that depressive patients with SA might exhibit impaired cognitive control functions. © 2025 Elsevier B.V.

关键词： Frequency-specific connectivity GO/NOGO Magnetoencephalography (MEG) Major depressive disorder (MDD) Suicide

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The Neurodynamic Computational Model Reveals Abnormal Multistable Spatiotemporal Patterns and Mechanisms in Schizophrenia 25

The Neurodynamic Computational Model Reveals Abnormal Multis...

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Proceedings of the 2025 5th International Conference on Bioinformatics and Intelligent Computing

作者： Chaoyue Ding Lin Du Bing Liu School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing China

ISBN: (纸本)9798400712203

In this study, we established a link between data-driven dynamic organizational modeling (including co-activation pattern and hidden Markov model) and theory-driven neurodynamic mechanistic modeling (Wilson-Cowan-type models) of brain based on the concept of attractors. First, we validated, through fMRI signals simulated by neurodynamic models containing multiple attractors, that the co-activation pattern approach is more effective than hidden Markov model in extracting system attractors from functional imaging data. We found that, compared to normal controls, schizophrenia patients exhibited a significantly reduced match between individual- and group-level attractors, with this match correlating strongly with general symptoms. Lastly, we validated that the spatial characteristics of schizophrenia attractors may be influenced by a reduction in global interactions. These findings reveal the multilayered associations between brain global interactions, multistable pattern abnormalities, and general symptoms in schizophrenia, offering new insights into its pathophysiological mechanisms.

关键词： attractors

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Coupled sleep rhythm disruption predicts cognitive decline in Alzheimer's disease

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Science Bulletin 2025年第9期70卷 1491-1503页

作者： Wei, Tao Zhou, Jianyang Wang, Zhibin Liu, Xiaoduo Mi, Yingxin Zhao, Yiwei Xing, Yi Zhao, Bo Zhou, Shaojiong Liu, Yufei Liu, Yunzhe Tang, Yi Department of Neurology & Innovation Center for Neurological Disorders Xuanwu Hospital Capital Medical University National Center for Neurological Disorders Beijing100053 China School of Basic Medical Sciences Capital Medical University Beijing100069 China State Key Laboratory of Cognitive Neuroscience and Learning IDG/McGovern Institute for Brain Research Beijing Normal University Beijing100875 China Chinese Institute for Brain Research Beijing102206 China Key Laboratory of Neurodegenerative Diseases Ministry of Education of the People's Republic of China Beijing100053 China

The effect of sleep on memory consolidation depends on the precise interaction of slow oscillations (SOs), theta bursts, and spindles. Disruption in coupling of these sleep rhythms has been reported for individuals with Alzheimer's disease (AD). However, it is unknown how the sleep rhythms evolve during AD progression and whether disrupted sleep rhythms facilitate cognitive decline in AD. Here, we analyze data of 93 individuals from sleep electroencephalography (EEG), MRI, cerebrospinal fluid (CSF) AD biomarkers, and two-year cognitive assessments among three populations: AD dementia (n = 33), mild cognitive impairment (MCI) due to AD (n = 38), and cognitively normal (CN, n = 22). Our study identifies the evolving pattern of coupled sleep rhythm disruption with advancing cognitive stages in AD. Specifically, the frequency of SO-theta burst coupling and SO-spindle coupling decreases from CN to MCI;SO-theta burst coupling and SO-spindle coupling further misalign from MCI to AD dementia. The APOE Ε4 allele and elevated amyloid and tau burden are associated with coupled sleep rhythm disruption. Hippocampal and medial prefrontal cortex atrophy are respectively linked to disruption of SO-theta burst coupling and SO-spindle coupling. Notably, coupled sleep rhythm disruption predicts accelerated cognitive decline over a two-year follow-up period. Our study presents that integrating sleep EEG with CSF and MRI biomarkers enhances the predictive ability for AD progression, which unravels the potential of sleep rhythms as monitoring and interventional targets for AD. © 2025 Science China Press

关键词： Electroencephalography

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Exploring the congruence between perceived parent–teacher achievement goals and student academic outcomes: A study using polynomial regression with response surface analysis

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British Journal of Educational Psychology 2025年第2期95卷 603-626页

作者： Zhao, Ningning Dou, Diya Chen, Xiaohan Chen, Fumei Luo, Rui Zhu, Xiaoqin Xiang, Guo-Xing School of Chinese Language and Literature Beijing Normal University Beijing China Department of Applied Social Sciences The Hong Kong Polytechnic University Hong Kong Collaborative Innovation Center of Assessment for Basic Education Quality Beijing Normal University Beijing China State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing China Department of Psychology Lingnan University Hong Kong

Background: The achievement goals set by parents and teachers play a crucial role in shaping students' personal goal orientation and academic performance. Previous studies have revealed discrepancies between achievement goals set by parents and teachers. However, limited research has examined how the congruence of perceived parents' and teachers' achievement goals is associated with students' academic performance. Aims: The current study sought to investigate the impact of congruence and discrepancy between students' perceptions of teachers' and parents' achievement goals, including mastery goals and performance goals, on students' academic performance in mathematics and language. Sample and Methods: Data were collected from a sample of 4944 Chinese students from Grades 3 to 8 using self-reported questionnaires. Polynomial regression with response surface analyses were employed to analyse the data. Results: The results indicated that students' performance in both mathematics and language improved when congruence levels were high in perceived teachers' and parents' mastery goals. Conversely, the congruence level between perceptions of teachers' and parents' performance goals was only related to students' mathematics performance. Conclusions: The findings underscore the significance of congruence between perceived teachers' and parents' achievement goals in influencing students' academic performance. © 2025 The Author(s). British Journal of Educational Psychology published by John Wiley & Sons Ltd on behalf of British Psychological Society.

关键词： academic performance achievement goals response surface analysis teacher–parent congruence

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Recent advances in near-infrared photobiomodulation for the intervention of acquired brain injury

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Journal of Innovative Optical Health Sciences 2025年第1期18卷 1-27页

作者： Yujing Huang Yujing Zhang Chen Yang Mengze Xu Zhen Yuan Ministry of Education Frontiers Science Center for Precision Oncology Faculty of Health SciencesUniversity of Macao Macao SAR 999078P.R.China Center for Cognitive and Brain Sciences Institute of Collaborative Innovation University of Macao Macao SAR 999078P.R.China Center for Cognition and Neuroergonomics State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Zhuhai 519087P.R.China

Acquired brain injury(ABI)is an injury that affects the brain structure and *** ABI treatment strategies,including medications and rehabilitation therapy,exhibit their ability to improve its impairments in cognition,emotion,and physical ***,near-infrared(NIR)photobiomodulation(PBM)has emerged as a promising physical intervention method for ABI,demonstrating that low-level light therapy can modulate cellular metabolic processes,reduce the in flammation and reactive oxygen species of ABI microenvironments,and promote neural repair and *** studies using ABI models have been carried out,revealing the potential of PBM in promoting brain injury recovery although its clinical application is still in its early *** this review,we first inspected the possible physical and biological mechanisms of NIR-PBM,and then reported the pathophysiology and physiology of ABI underlying NIR-PBM ***,the potential of NIR-PBM as a therapeutic intervention in ABI was demonstrated and it is also expected that further work can facilitate its clinical applications.

关键词： Near-infrared photobiomodulation acquired brain injury traumatic brain injury ischemic stroke

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Intracortical Flexible Microneedle Neural Electrode (f-μNeurode) Based on Projection-Micro-Stereolithography (PμSL) Technology for Chronic In-Vivo Electrophysiological Recording 38

Intracortical Flexible Microneedle Neural Electrode (f-μNeu...

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38th IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2025

作者： Huang, Zhe Wang, Yanran Li, Junshi Ma, Xinyi Zhang, Zhitong Sun, Xiaowen Zhang, Jiayan Huang, Dong Yang, Bin Liu, Jingquan Xing, Dajun Li, Zhihong Peking University National Key Laboratory of Advanced Micro and Nano Manufacture Technology School of Integrated Circuits Beijing China Beijing Advanced Innovation Center for Integrated Circuits Beijing China Beijing Normal University State Key Laboratory of Cognitive Neuroscience and Learning and Idg McGovern Institute for Brain Research Beijing China Acimicro Medical Technology Co. Ltd. Guangzhou China Shanghai Jiao Tong University National Key Laboratory of Advanced Micro and Nano Manufacture Technology Shanghai China

ISBN: (纸本)9798331508890

This paper reports a novel intracortical neural interface device, called f-μNeurode, for chronic in-vivo electrophysiological recording. The device achieved excellent electrical properties and has been implanted for 28 days, successfully recorded single-cell spikes and local-field potentials (LFPs). The f-μNeurode consists of a high-aspect-ratio polymer microneedle array electrode, which is bottom-up additively manufactured on a flexible substrate by Projection-Micro-Stereolithography (PμSL) technology. Compared to the conventional Utah Electrode Array (UEA), the f-μNeurode is more flexible and thinner, overcoming the limitation of brittleness and fragility of silicon material, reducing the mechanical stimulation to the brain as well as bringing higher biosafety. Owing to the flexibility and compatibility of the PμSL, which is utilized to fabricate the intracortical neural interface for the first time, microneedle arrays with different channel numbers, different layouts, different lengths and diameters can be easily customized and mass-produced with relatively low cost. © 2025 IEEE.

关键词： Aspect ratio

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Unlocking Alzheimer’s Disease Heterogeneity: The Role of Normative Modeling, Dynamic Connectivity, and Beyond

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Biological Psychiatry 2025年第11期97卷 1016-1017页

作者： Qian Wang Shile Qi Rongtao Jiang Jing Sui State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing China College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China Department of Radiology and Biomedical Imaging Yale School of Medicine New Haven Connecticut

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Functional connectivity anomalies in medication-naive children with ADHD: Diagnostic potential, symptoms interpretation, and a mediation model

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Clinical Neurophysiology 2025年 174卷 212-219页

作者： Hu, Yingzi Zeng, Yexian Fu, Tong Hong, Danping Yang, Han Zhu, Zhihang Cheng, Daomeng Dang, Caiping Song, Yan Yang, Chanjuan Yin, Weizhen Zhou, Yanling The Affiliated Brain Hospital Guangzhou Medical University Guangzhou 510370 China School of Health Management Guangzhou Medical University Guangzhou 511436 China Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China Guangzhou Medical University Guangzhou 510370 China Institute of Psychiatry and Psychology The Affiliated Brain Hospital Guangzhou Medical University Guangzhou 510370 China Shanghai Mental Health Center Shanghai Jiao Tong University School of Medicine Shanghai 200030 China State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research Beijing Normal University Beijing 100875 China Center for Collaboration and Innovation in Brain and Learning Sciences Beijing Normal University Beijing 100875 China

Objective: To identify reliable electroencephalography (EEG) biomarkers for attention deficit/hyperactivity disorder (ADHD) by investigating anomalous functional connectivity patterns and their clinical relevance. Methods: Resting-state EEG data were collected from 74 children aged 6–12 (33 unmedicated ADHD;41 typically developing). Functional connectivity was quantified using the imaginary part of coherency (ICOH). Machine learning (ML)-based support vector machine (SVM) modeling, regression, and mediation analyses linked connectivity features to symptom severity and diagnostic classification. Results: Children with ADHD exhibited beta (β) band hypo-connectivity in frontal regions (Fp2-F4, Fp1-Cz, F7-Cz) and theta (θ) band hyper-connectivity in left parietal-central networks (C3-P7, P3-P7, etc.). An SVM classifier achieved an average area under the curve of 0.89 using three connectivity features. Left parietal θ band hyper-connectivity (C3-P7) correlated with both inattention and hyperactivity/impulsivity and mediated their interrelationship. Conclusions: ADHD is characterized by disrupted frontoparietal connectivity, with θ band hyper-connectivity in sensory-integration networks potentially compensating for impaired frontal regulation. Significance: These findings highlight C3-P7 θ band connectivity as both a diagnostic and mechanistic biomarker, providing novel target for neurofeedback therapies and enhancing the differential diagnosis in neurodevelopmental disorders. © 2025 The Authors

关键词： ADHD biomarkers Functional Connectivity Machine learning Classification Mediation Analysis Resting-state EEG

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