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neuroimaging

GeneTech 知识引擎共收录 1182 篇相关科研实体，横跨 30 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

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代表性文献（按质量分排序，前 60 条）

• Towards the use of functional near-infrared spectroscopy as an assessment tool in disorders of consciousness.
  2026 · 仿生智能 · Functional near-infrared spectroscopy (fNIRS) has emerged as a promising neuroimaging tool for assessing patients with disorders of consciousness (DoC). While functional magnetic resonance imaging (fMRI) and electroencep…
• Exploring Imagined Movement for Brain-Computer Interface Control: An fNIRS and EEG Review.
  2025 · 仿生智能 · Brain-Computer Interfaces (BCIs) offer a non-invasive pathway for restoring motor function, particularly for individuals with limb loss. This review explored the effectiveness of Electroencephalography (EEG) and function…
• High-order mesoscale modeling with geometrically conforming gray/white matter interface for traumatic brain injury.
  2025 · 仿生智能 · Brain injury models with a supramillimeter resolution are not feasible to provide spatially detailed strains at or below millimeter scales, especially in regions of convoluted geometry such as at the gray/white matter in…
• Fast Whole-Brain, Geometry-Aware Functional Alignment for Cross-Subject Decoding
  2026 · AI 安全与对齐 · Decoding brain activity is useful for characterizing brain processes and understanding the functional architecture underlying cognition. However, the inter-individual variability in brain response patterns limits the dev…
• Brain MRI Segmentation
  2026 · 医疗人工智能 · This chapter presents a critical overview of brain MRI segmentation, a foundational technique in contemporary neuroscience with wide-ranging clinical and research applications. Magnetic Resonance Imaging (MRI) is particu…
• A generalizable foundation model for analysis of human brain MRI
  2026 · 医疗人工智能 · Artificial intelligence applied to brain magnetic resonance imaging (MRI) holds potential to advance diagnosis, prognosis and treatment planning for neurological diseases. The field has been constrained, thus far, by lim…
• Leveraging AI-Driven Neuroimaging Biomarkers for Early Detection and Social Function Prediction in Autism Spectrum Disorders: A Systematic Review
  2025 · AI 安全与对齐 · Background: This systematic review examines artificial intelligence (AI) applications in neuroimaging for autism spectrum disorder (ASD), addressing six research questions regarding biomarker optimization, modality integ…
• Kinematic alignment doesn't tell the whole story: It's time for kinetic alignment
  2025 · AI 安全与对齐 · Abstract Kinematic alignment is increasingly adopted in total knee arthroplasty (TKA) as a patient‐specific strategy to restore native joint anatomy. However, its reliance on static radiographic measurements may not adeq…
• Artificial Intelligence in Pediatric Epilepsy Detection: Balancing Effectiveness With Ethical Considerations for Welfare
  2025 · 医疗人工智能 · Background and Aim: Epilepsy is a major neurological challenge, especially for pediatric populations. It profoundly impacts both developmental progress and quality of life in affected children. With the advent of artific…
• Artificial Intelligence and Neuroscience: Transformative Synergies in Brain Research and Clinical Applications
  2025 · 仿生智能 · The convergence of Artificial Intelligence (AI) and neuroscience is redefining our understanding of the brain, unlocking new possibilities in research, diagnosis, and therapy. This review explores how AI's cutting-edge a…
• Brain Signal-Based Motion Sickness Classification in Automobile Passengers
  2025 · 仿生智能 · Motion sickness remains a critical challenge for enhancing passenger comfort, particularly in autonomous vehicles, where non-driving activities are a primary benefit. This study investigates the multi-class classificatio…
• Traumatic Brain Injury and Artificial Intelligence: Shaping the Future of Neurorehabilitation—A Review
  2025 · 仿生智能 · Traumatic brain injury (TBI) is a leading cause of disability and death globally, presenting significant challenges for diagnosis, prognosis, and treatment. As healthcare technology advances, artificial intelligence (AI)…
• iTBS on RDLPFC improves performance of motor imagery: a brain-computer interface study combining EEG and fNIRS
  2025 · 仿生智能 · BACKGROUND: Some individuals using brain-computer interfaces (BCIs) exhibit ineffective control during motor imagery-based BCI (MI-BCI) training. MI-BCI performance correlates with the activation in the frontoparietal at…
• A scoping review of automatic and semi-automatic MRI segmentation in human brain imaging
  2025 · 仿生智能 · INTRODUCTION: AI-based segmentation techniques in brain MRI have revolutionized neuroimaging by enhancing the accuracy and efficiency of brain structure analysis. These techniques are pivotal for diagnosing neurodegenera…
• Spiking Neural Networks for Multimodal Neuroimaging: A Comprehensive Review of Current Trends and the NeuCube Brain-Inspired Architecture
  2025 · 仿生智能 · Artificial intelligence (AI) is revolutionising neuroimaging by enabling automated analysis, predictive analytics, and the discovery of biomarkers for neurological disorders. However, traditional artificial neural networ…
• Mobile human brain imaging using functional ultrasound
  2025 · 仿生智能 · Imagine being able to study the human brain in real-world scenarios while the subject displays natural behaviors such as locomotion, social interaction, or spatial navigation. The advent of ultrafast ultrasound imaging b…
• Multimodal fNIRS–EEG sensor fusion: Review of data-driven methods and perspective for naturalistic brain imaging
  2025 · 仿生智能 · Functional near-infrared spectroscopy (fNIRS), high-density diffuse optical tomography (HD-DOT), and electroencephalography (EEG) are established, cost-effective, and non-invasive neuroimaging techniques, whose integrati…
• Brain Modulation Techniques of Human-Machine Interface for Addiction and Behavioral Control
  2025 · 仿生智能 · Addiction and behavioral disorders pose significant challenges to public health, often resistant to conventional treatments. Recent advances in brain modulation techniques offer promising avenues for therapeutic interven…
• Deep learning analysis of fMRI data for predicting Alzheimer’s Disease: A focus on convolutional neural networks and model interpretability
  2024 · AI 安全与对齐 · The early detection of Alzheimer's Disease (AD) is thought to be important for effective intervention and management. Here, we explore deep learning methods for the early detection of AD. We consider both genetic risk fa…
• Biological brain age and resilience in cognitively unimpaired 70‐year‐old individuals
  2024 · 生物计算 · INTRODUCTION: This study investigated the associations of brain age gap (BAG)-a biological marker of brain resilience-with life exposures, neuroimaging measures, biological processes, and cognitive function. METHODS: We …
• Artificial intelligence–based rapid brain volumetry substantially improves differential diagnosis in dementia
  2024 · 医疗人工智能 · Abstract Introduction This study evaluates the clinical value of a deep learning–based artificial intelligence (AI) system that performs rapid brain volumetry with automatic lobe segmentation and age‐ and sex‐adjusted pe…
• Integrative approach of omics and imaging data to discover new insights for understanding brain diseases
  2024 · 医疗人工智能 · Treatments that can completely resolve brain diseases have yet to be discovered. Omics is a novel technology that allows researchers to understand the molecular pathways underlying brain diseases. Multiple omics, includi…
• Review of Multimodal Data Acquisition Approaches for Brain–Computer Interfaces
  2024 · 仿生智能 · There have been multiple technological advancements that promise to gradually enable devices to measure and record signals with high resolution and accuracy in the domain of brain–computer interfaces (BCIs). Multimodal B…
• Design, construction and validation of a magnetic particle imaging (MPI) system for human brain imaging
  2024 · 仿生智能 · Abstract Objective. Magnetic particle imaging (MPI) was introduced in 2005 as a promising, tracer-based medical imaging modality with the potential for high sensitivity and spatial resolution. Since then, numerous precli…
• Enhanced MRI-based brain tumour classification with a novel Pix2pix generative adversarial network augmentation framework
  2024 · 仿生智能 · The scarcity of medical imaging datasets and privacy concerns pose significant challenges in artificial intelligence-based disease prediction. This poses major concerns to patient confidentiality as there are now tools c…
• Multimodal Fusion of Brain Imaging Data: Methods and Applications
  2024 · 仿生智能 · Abstract Neuroimaging data typically include multiple modalities, such as structural or functional magnetic resonance imaging, diffusion tensor imaging, and positron emission tomography, which provide multiple views for …
• Fetal brain MRI atlases and datasets: A review
  2024 · 仿生智能 · Fetal brain development is a complex process involving different stages of growth and organization which are crucial for the development of brain circuits and neural connections. Fetal atlases and labeled datasets are pr…
• Brain Tumor Detection Using Magnetic Resonance Imaging and Convolutional Neural Networks
  2024 · 仿生智能 · Early and precise detection of brain tumors is critical for improving clinical outcomes and patient quality of life. This research focused on developing an image classifier using convolutional neural networks (CNN) to de…
• A review of artificial intelligence-based brain age estimation and its applications for related diseases
  2024 · 仿生智能 · The study of brain age has emerged over the past decade, aiming to estimate a person's age based on brain imaging scans. Ideally, predicted brain age should match chronological age in healthy individuals. However, brain …
• Personalized whole-brain neural mass models reveal combined Aβ and tau hyperexcitable influences in Alzheimer’s disease
  2024 · 仿生智能 · Neuronal dysfunction and cognitive deterioration in Alzheimer's disease (AD) are likely caused by multiple pathophysiological factors. However, mechanistic evidence in humans remains scarce, requiring improved non-invasi…
• Functional near-infrared spectroscopy: A novel tool for detecting consciousness after acute severe brain injury
  2024 · 仿生智能 · Recent advancements in functional neuroimaging have demonstrated that some unresponsive patients in the intensive care unit retain a level of consciousness that is inconsistent with their behavioral diagnosis of awarenes…
• Discovering the gene-brain-behavior link in autism via generative machine learning
  2024 · 仿生智能 · Autism is traditionally diagnosed behaviorally but has a strong genetic basis. A genetics-first approach could transform understanding and treatment of autism. However, isolating the gene-brain-behavior relationship from…
• Brain tumor detection and segmentation: Interactive framework with a visual interface and feedback facility for dynamically improved accuracy and trust
  2023 · 仿生智能 · Brain cancers caused by malignant brain tumors are one of the most fatal cancer types with a low survival rate mostly due to the difficulties in early detection. Medical professionals therefore use various invasive and n…
• A comprehensive survey of complex brain network representation
  2023 · 仿生智能 · Recent years have shown great merits in utilizing neuroimaging data to understand brain structural and functional changes, as well as its relationship to different neurodegenerative diseases and other clinical phenotypes…
• Functional Mapping of the Brain for Brain–Computer Interfacing: A Review
  2023 · 仿生智能 · Brain–computer interfacing has been applied in a range of domains including rehabilitation, neuro-prosthetics, and neurofeedback. Neuroimaging techniques provide insight into the structural and functional aspects of the …
• Empirically Identifying and Computationally Modeling the Brain–Behavior Relationship for Human Scene Categorization
  2023 · 仿生智能 · Humans effortlessly make quick and accurate perceptual decisions about the nature of their immediate visual environment, such as the category of the scene they face. Previous research has revealed a rich set of cortical …
• Automated ventricular and midline segmentation in cranial ultrasound with metrology.
  2026 · 仿生智能 · Ultrasound imaging through sonolucent cranial implants is an emerging modality for post-neurosurgical monitoring of the adult brain, but quantitative interpretation remains challenging due to speckle, attenuation, shadow…
• Principles of Orchestrational Combinations, Transformations, and Orchestration-Based Form
  2026 · AI Agent 生态 · Abstract Although in-depth research on the formal function of pitch and rhythm has occupied music theorists for generations, the form-bearing and structural implications of combinations and changes in instrumentation and…
• P3-NEURO: Evidence Gates for Assistive Neurotechnology, Neural Interfaces, Neuroimaging, and Algorithmic Control
  2026 · 仿生智能 · A defensive, non-operational evidence package for assistive neurotechnology. Version 0.2.0 integrates global accessibility, person-relevant outcomes, risk-calibrated brain-data governance, healthcare-service continuity, …
• P3-NEURO: Evidence Gates for Assistive Neurotechnology, Neural Interfaces, Neuroimaging, and Algorithmic Control
  2026 · 仿生智能 · A defensive, non-operational evidence package for assistive neurotechnology. Version 0.2.0 integrates global accessibility, person-relevant outcomes, risk-calibrated brain-data governance, healthcare-service continuity, …
• P3-NEURO: Evidence Gates for Assistive Neurotechnology, Neural Interfaces, Neuroimaging, and Algorithmic Control
  2026 · 仿生智能 · A non-operational evidence package for assistive neurotechnology, neural interfaces, neuroimaging, materials, privacy, and algorithmic control. It separates decoder metrics from functional and population outcomes, preser…
• Analyzing data from deep brain stimulation: Machine Learning provides a map
  2026 · 仿生智能 · Neurosurgical and neuromodulation therapies require millimeter-level accuracy to effectively target functional brain regions. Yet, many neuroanatomical boundaries remain invisible to current imaging and electrophysiology…
• Digital Biomarkers and AI for Remote Monitoring of Fatigue Progression in Neurological Disorders: Bridging Mechanisms to Clinical Applications
  2025 · AI 安全与对齐 · Digital biomarkers for fatigue monitoring in neurological disorders represent an innovative approach to bridge the gap between mechanistic understanding and clinical application. This perspective paper examines how smart…
• Deep Learning Meets Source Reconstruction
  2025 · 仿生智能 · Accurately analyzing both structural and functional brain data from multimodal neuroimaging is a challenge. Applying deep learning has helped to gain insight into structural relationships across brain regions and complex…
• Artificial intelligence-amplified contrast enhancement in brain magnetic resonance imaging for improving image quality and lesion visualization: a prospective pilot study.
  2026 · AI 驱动科学发现 · Artificial intelligence (AI) algorithms synthesizing virtual standard-dose images from low-dose contrast-enhanced images of brain magnetic resonance imaging (MRI) have been repurposed to boost contrast from standard-dose…
• Association between motor cortex grey matter loss and inability to control an ECoG-based implanted Brain-Computer Interface in ALS
  2026 · 仿生智能 · The field of implantable Brain-Computer Interfaces (iBCIs) is rapidly advancing, with individuals with amyotrophic lateral sclerosis (ALS) as key beneficiaries. However, ALS-related cortical degeneration may impair iBCI …
• Schizophrenia and bipolar disorder: a comparative analysis of genetic and brain network connectivity.
  2026 · 仿生智能 · Schizophrenia (SCZ) and bipolar disorder (BD) are severe psychiatric conditions with overlapping clinical presentations, genetic risk factors, and brain network dysfunction. Whether alterations in large-scale intrinsic b…
• Computational modelling of effort-based decision-making in depression: The role of apathy and anhedonia in adolescent girls.
  2026 · 仿生智能 · Adolescence is a period of heightened vulnerability to depression, particularly in females. Motivational deficits are a hallmark of depression, yet the cognitive mechanisms underlying impaired effort-based decision-makin…
• Deep Learning in Large and Multi-Site Structural Brain MR Imaging Datasets
  2022 · 仿生智能 · Large, multi-site, heterogeneous brain imaging datasets are increasingly required for the training, validation, and testing of advanced deep learning (DL)-based automated tools, including structural magnetic resonance (M…
• Brain morphology, autistic traits, and polygenic risk for autism: A p opulation‐based neuroimaging study
  2021 · 仿生智能 · Autism spectrum disorders (ASD) are associated with widespread brain alterations. Previous research in our group linked autistic traits with altered gyrification, but without pronounced differences in cortical thickness.…
• Entropy and the Emotional Brain: Overview of a Research Field
  2021 · 仿生智能 · During the last years, there has been a notable increase in the number of studies focused on the assessment of brain dynamics for the recognition of emotional states by means of nonlinear methodologies. More precisely, d…
• Biological subtypes of Alzheimer disease
  2020 · 生物计算 · OBJECTIVE: To test the hypothesis that distinct subtypes of Alzheimer disease (AD) exist and underlie the heterogeneity within AD, we conducted a systematic review and meta-analysis on AD subtype studies based on postmor…
• Automatic segmentation of knee menisci – A systematic review
  2020 · 医疗人工智能 · Magnetic resonance imaging (MRI) has proved to be an invaluable component of pathogenesis research in osteoarthritis. Nevertheless, the detection of a meniscal lesion from magnetic resonance (MR) images is always challen…
• Diving into the brain: deep-brain imaging techniques in conscious animals
  2020 · 仿生智能 · In most species, survival relies on the hypothalamic control of endocrine axes that regulate critical functions such as reproduction, growth, and metabolism. For decades, the complexity and inaccessibility of the hypotha…
• NeuroQuery, comprehensive meta-analysis of human brain mapping
  2020 · 仿生智能 · Reaching a global view of brain organization requires assembling evidence on widely different mental processes and mechanisms. The variety of human neuroscience concepts and terminology poses a fundamental challenge to r…
• Methodological Considerations for Neuroimaging in Deep Brain Stimulation of the Subthalamic Nucleus in Parkinson’s Disease Patients
  2020 · 仿生智能 · Deep brain stimulation (DBS) of the subthalamic nucleus is a neurosurgical intervention for Parkinson's disease patients who no longer appropriately respond to drug treatments. A small fraction of patients will fail to r…
• Brain-Switches for Asynchronous Brain–Computer Interfaces: A Systematic Review
  2020 · 仿生智能 · A brain–computer interface (BCI) has been extensively studied to develop a novel communication system for disabled people using their brain activities. An asynchronous BCI system is more realistic and practical than a sy…
• Field-based multiangular remote sensing for plant stress monitoring
  2024 · 智慧农业 · The goal of this research was the development of an inexpensive methodology for the retrieval of leaf area index (LAI) from field-based multiangular remote sensing, as a basis for precision agriculture applications. The …
• Graph Neural Networks in Brain Connectivity Studies: Methods, Challenges, and Future Directions
  2024 · AI 安全与对齐 · Brain connectivity analysis plays a crucial role in unraveling the complex network dynamics of the human brain, providing insights into cognitive functions, behaviors, and neurological disorders. Traditional graph-theore…
• Advancing brain tumor classification through MTAP model: an innovative approach in medical diagnostics
  2024 · 生物计算 · Abstract The early diagnosis of brain tumors is critical in the area of healthcare, owing to the potentially life-threatening repercussions unstable growths within the brain can pose to individuals. The accurate and earl…

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