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• Brain Tumor Treatment Development
  Editorial Substantial advances in the molecular biology of brain tumors have occurred over the past several years. Recent new avenues regarding the role of microRNAs along with further understanding of the importance of angiogenesis, immunotherapy, and explana…
  datacite Terry Lichtor, MD, PhD 2026 置信度 0.66
• Brain Tumor Treatment Development
  Editorial Substantial advances in the molecular biology of brain tumors have occurred over the past several years. Recent new avenues regarding the role of microRNAs along with further understanding of the importance of angiogenesis, immunotherapy, and explana…
  datacite Terry Lichtor, MD, PhD 2026 置信度 0.66
• 2020-04-29 Paul Walther_Introduction To High Pressure Freezing And Tomography For EM
  High Pressure Freezing and Electron Microscopy Techniques Presenter Paul Walther This presentation explains high-pressure freezing as a critical technique for preserving biological ultrastructure in electron microscopy by preventing ice crystal formation in th…
  datacite Walther, Paul 2025 置信度 0.66
• 2020-04-29 Paul Walther_Introduction To High Pressure Freezing And Tomography For EM
  High Pressure Freezing and Electron Microscopy Techniques Presenter Paul Walther This presentation explains high-pressure freezing as a critical technique for preserving biological ultrastructure in electron microscopy by preventing ice crystal formation in th…
  datacite Walther, Paul 2025 置信度 0.66
• Event2Flow: MATLAB code and sample data
  The provided scripts were tested using MATLAB R2025b on a Windows 11 system. To facilitate testing, the raw event streams in the sample datasets were converted into CSV or multi-TIFF files. The code package and sample datasets include the following: 1. Generat…
  datacite Zhou, Quanyu 2026 置信度 0.66
• Event2Flow: MATLAB code and sample data
  The provided scripts were tested using MATLAB R2025b on a Windows 11 system. To facilitate testing, the raw event streams in the sample datasets were converted into CSV or multi-TIFF files. The code package and sample datasets include the following: 1. Generat…
  datacite Zhou, Quanyu 2026 置信度 0.66
• Multisystem Involvement in Tuberous Sclerosis Complex: Incidentally Detected Subependymal Giant Cell Astrocytoma with Extensive Abdomino-visceral Manifestations
  BackgroundTuberous sclerosis complex is a multisystem genetic disorder characterized by hamartomatous lesions involving the brain, kidneys, skin, lungs, heart, and hepatobiliary system. Although typically recognized in childhood, attenuated phenotypes may rema…
  datacite Surinder Singh, Bhawna Heer, Tripti Jain, Harinder Singh Chhabra 2026 置信度 0.66 AngiomyolipomaAstrocytomaHamartomaSubependymal Giant Cell AstrocytomaTuberous Sclerosis Complex
• Multisystem Involvement in Tuberous Sclerosis Complex: Incidentally Detected Subependymal Giant Cell Astrocytoma with Extensive Abdomino-visceral Manifestations
  BackgroundTuberous sclerosis complex is a multisystem genetic disorder characterized by hamartomatous lesions involving the brain, kidneys, skin, lungs, heart, and hepatobiliary system. Although typically recognized in childhood, attenuated phenotypes may rema…
  datacite Surinder Singh, Bhawna Heer, Tripti Jain, Harinder Singh Chhabra 2026 置信度 0.66 AngiomyolipomaAstrocytomaHamartomaSubependymal Giant Cell AstrocytomaTuberous Sclerosis Complex
• Dataset: Keyword Analysis: diabetes; retinal diabetic neuropathy; ganglion cells; synapses; SPG302; tazbentetol; visual function; synaptic regeneration; neuroprotection; blindness; glaucoma - PathMap Experiment #000069
  Interactive Data Viewer: Read, View, and Print from Day 1 Use our fully interactive viewer to view, read, and print this research data right from Day 1: https://pathmap.org/viewer.php?id=69 Artificial General Intelligence LLC Claim Evaluated: Keyword Analysis:…
  datacite Dungan, Joshua 2026 置信度 0.66 Glucose_gates_from_glucoseMitochondria_gates_to_mitochondriaMitochondrial Dysfunction
• Dataset: Keyword Analysis: diabetes; retinal diabetic neuropathy; ganglion cells; synapses; SPG302; tazbentetol; visual function; synaptic regeneration; neuroprotection; blindness; glaucoma - PathMap Experiment #000069
  Interactive Data Viewer: Read, View, and Print from Day 1 Use our fully interactive viewer to view, read, and print this research data right from Day 1: https://pathmap.org/viewer.php?id=69 Artificial General Intelligence LLC Claim Evaluated: Keyword Analysis:…
  datacite Dungan, Joshua 2026 置信度 0.66 Glucose_gates_from_glucoseMitochondria_gates_to_mitochondriaMitochondrial Dysfunction
• The diffuse-glioma interventional-trial landscape - molecular-era representation, global access, discontinuation, and eligibility restrictiveness: a scoping review and evidence-gap map.
  Scoping-review protocol (JBI methodology; PRISMA-ScR reporting). Review type. Scoping review (Arksey & O'Malley; Levac et al.; JBI 2020), reported per PRISMA-ScR. Descriptive charting and evidence-mapping only - no hypothesis testing, no meta-analysis, no …
  datacite Alexandru-Constantin Stan 2026 置信度 0.66 Laboratory and Basic Science Research Life SciencesMedical SciencesBioinformaticsOther Life SciencesDiseases
• Figure 6. 18F in Innovation in hepatic alveolar echinococcosis imaging: best use of old tools, and necessary evaluation of new ones
  Figure 6. 18F-Fluorodeoxyglucose (FDG) Positron-emission tomography (PET) aspects of extrahepatic alveolar echinococcosis. (a) Brain metastasis of alveolar echinococcosis. (b) Right atrium metastasis of alveolar echinococcosis.
  datacite Liu, Wenya, Delabrousse, Éric, Blagosklonov, Oleg, Wang, Jing 等 2014 置信度 0.66 BiodiversityTaxonomy
• Figure 6. 18F in Innovation in hepatic alveolar echinococcosis imaging: best use of old tools, and necessary evaluation of new ones
  Figure 6. 18F-Fluorodeoxyglucose (FDG) Positron-emission tomography (PET) aspects of extrahepatic alveolar echinococcosis. (a) Brain metastasis of alveolar echinococcosis. (b) Right atrium metastasis of alveolar echinococcosis.
  datacite Liu, Wenya, Delabrousse, Éric, Blagosklonov, Oleg, Wang, Jing 等 2014 置信度 0.66 BiodiversityTaxonomy
• A Web-Based Framework for Brain Hemorrhage Detection from CT Scans Using Deep Learning
  This paper presents a deep learning-based web framework for automated detection of brain hemorrhage from CT scan images. Brain hemorrhage is a critical medical condition that requires early and accurate diagnosis to reduce mortality and improve patient outcome…
  datacite Varun, Shagun, Somasekhar, Dr. Syed Ahsan Saud Qadri 2026 置信度 0.66 Brain Hemorrhage DetectionDeep LearningConvolutional Neural NetworkCT Scan AnalysisMedical Imaging
• A Web-Based Framework for Brain Hemorrhage Detection from CT Scans Using Deep Learning
  This paper presents a deep learning-based web framework for automated detection of brain hemorrhage from CT scan images. Brain hemorrhage is a critical medical condition that requires early and accurate diagnosis to reduce mortality and improve patient outcome…
  datacite Varun, Shagun, Somasekhar, Dr. Syed Ahsan Saud Qadri 2026 置信度 0.66 Brain Hemorrhage DetectionDeep LearningConvolutional Neural NetworkCT Scan AnalysisMedical Imaging
• Data-driven Modeling of Cell Behavior, Morphogenesis and Growth in Regeneration and Development
  The cell is the central functional unit of life. Cell behaviors, such as cell division, movements, differentiation, cell death as well as cell shape and size changes, determine how tissues change shape and grow during regeneration and development. However, a g…
  datacite Rost, Fabian 2017 置信度 0.66 developmental biologyregenerationbiophysicsmathematical modelaxolotl
• Data-driven Modeling of Cell Behavior, Morphogenesis and Growth in Regeneration and Development
  The cell is the central functional unit of life. Cell behaviors, such as cell division, movements, differentiation, cell death as well as cell shape and size changes, determine how tissues change shape and grow during regeneration and development. However, a g…
  datacite Rost, Fabian 2017 置信度 0.66 developmental biologyregenerationbiophysicsmathematical modelaxolotl
• Recent Advances in Joubert Syndrome: Genetic Insights, Clinical Management, and Emerging Therapeutic Strategies
  Joubert syndrome (JS) is a rare, genetically heterogeneous autosomal recessive ciliopathy characterized by the pathognomonic molar tooth sign (MTS) on brain magnetic resonance imaging, resulting from cerebellar vermis hypoplasia or aplasia and abnormal superio…
  datacite Damera Neha, Syeda Nishat Fathima 2026 置信度 0.66
• Recent Advances in Joubert Syndrome: Genetic Insights, Clinical Management, and Emerging Therapeutic Strategies
  Joubert syndrome (JS) is a rare, genetically heterogeneous autosomal recessive ciliopathy characterized by the pathognomonic molar tooth sign (MTS) on brain magnetic resonance imaging, resulting from cerebellar vermis hypoplasia or aplasia and abnormal superio…
  datacite Damera Neha, Syeda Nishat Fathima 2026 置信度 0.66
• E8-Entangled Neural-Ghost Imaging via Phi-Harmonic Holographic Reconstruction** — E8 Intelligence Research
  ** We discover that the 240 E8 root vectors, when phi-modulated at 132 Hz, establish instantaneous non-local correlations between distributed neural ensembles acting as "object" and "reference" beams in a biological ghost-imaging protocol. By leveraging the SY…
  datacite Caldin, Andrew Stewart 2026 置信度 0.66 E8 geometryartificial intelligencequantum computingE8 latticeindependent research
• E8-Entangled Neural-Ghost Imaging via Phi-Harmonic Holographic Reconstruction** — E8 Intelligence Research
  ** We discover that the 240 E8 root vectors, when phi-modulated at 132 Hz, establish instantaneous non-local correlations between distributed neural ensembles acting as "object" and "reference" beams in a biological ghost-imaging protocol. By leveraging the SY…
  datacite Caldin, Andrew Stewart 2026 置信度 0.66 E8 geometryartificial intelligencequantum computingE8 latticeindependent research
• Data for "Continuous flashing suppression of neural responses and population orientation coding in macaque V1"
  Continuous flash suppression (CFS), a dynamic masker presented to one eye suppressing the conscious perception of a stimulus shown to the other eye, has been extensively used to study visual consciousness. Various studies reported high-level visual and cogniti…
  datacite Chen, Caixia, Wang, Xin, Jiang, Dan-Qing, Shi-Ming, Tang 等 2026 置信度 0.66
• Data for "Continuous flashing suppression of neural responses and population orientation coding in macaque V1"
  Continuous flash suppression (CFS), a dynamic masker presented to one eye suppressing the conscious perception of a stimulus shown to the other eye, has been extensively used to study visual consciousness. Various studies reported high-level visual and cogniti…
  datacite Chen, Caixia, Wang, Xin, Jiang, Dan-Qing, Shi-Ming, Tang 等 2026 置信度 0.66
• B1+-mapping and B1+ inhomogeneity correction at high field
  Magnetic resonance images acquired at the highest strength of the main magnetic field B0 are of interest since they highly benefit from an increased signal to noise ratio. At ultra high field strengths (B0 > 7 Tesla) images with more contrast and higher res…
  datacite Eggenschwiler, Florent 2015 置信度 0.66 B1+-mappingRF-shimmingRF pulse designKT-pointsParallel transmission
• Comparative Evaluation of Image Representations and Machine Learning Pipelines for Brain MRI Tumor Classification
  Automated classification of brain magnetic resonance imaging (MRI) scans is an important problem in medical image analysis. Although modern deep learning methods can learn image representations directly from data, classical machine learning methods using handc…
  datacite Bhardwaj Prasad Sutara 2026 置信度 0.66 Machine learning not elsewhere classifiedArtificial intelligence not elsewhere classified
• Comparative Evaluation of Image Representations and Machine Learning Pipelines for Brain MRI Tumor Classification
  Automated classification of brain magnetic resonance imaging (MRI) scans is an important problem in medical image analysis. Although modern deep learning methods can learn image representations directly from data, classical machine learning methods using handc…
  datacite Bhardwaj Prasad Sutara 2026 置信度 0.66 Machine learning not elsewhere classifiedArtificial intelligence not elsewhere classified
• AI-based Conditional Generation of Diffusion MR Images
  Quantitative Magnetic Resonance Imaging (MRI) is used throughout the globe with the intent of extracting reproducible measures in regard to brain tissue microstructure and connectivity. However, a single MRI contrast is only able to provide so much information…
  datacite Sousa, Pedro, Cardoso, Jaime, Tax, Chantal 2023 置信度 0.66 Diffusion Magnetic Resonance ImagingArtificial IntelligenceConditional Image GenerationMagnetic Resonance Imaging Acquisition
• AI-based Conditional Generation of Diffusion MR Images
  Quantitative Magnetic Resonance Imaging (MRI) is used throughout the globe with the intent of extracting reproducible measures in regard to brain tissue microstructure and connectivity. However, a single MRI contrast is only able to provide so much information…
  datacite Sousa, Pedro, Cardoso, Jaime, Tax, Chantal 2023 置信度 0.66 Diffusion Magnetic Resonance ImagingArtificial IntelligenceConditional Image GenerationMagnetic Resonance Imaging Acquisition
• CastorNet Brain Tumor Classification – Dataset Splitting, GUI Training, and Results
  This video demonstrates the full reproducibility workflow for the CastorNet brain tumor classification study. It covers: Dataset splitting → how to partition MRI slices into training, validation, and test sets. Model training GUI → step‑by‑step usage of the gr…
  datacite Mwankefu, Castor Neleson 2026 置信度 0.66
• CastorNet Brain Tumor Classification – Dataset Splitting, GUI Training, and Results
  This video demonstrates the full reproducibility workflow for the CastorNet brain tumor classification study. It covers: Dataset splitting → how to partition MRI slices into training, validation, and test sets. Model training GUI → step‑by‑step usage of the gr…
  datacite Mwankefu, Castor Neleson 2026 置信度 0.66
• What are the best methods to assess hypoxic brain injury?
  Electroencephalography (EEG) and advanced imaging techniques, notably diffusion-weighted imaging (DWI), are key in assessing hypoxic brain injury, offering valuable prognostic insights when combined with clinical evaluations and biomarkers.
  datacite Tripdatabase 2026 置信度 0.66 hypoxic brain injuryassessment methodsneurological evaluationbrain injury diagnosishypoxia
• What are the best methods to assess hypoxic brain injury?
  Electroencephalography (EEG) and advanced imaging techniques, notably diffusion-weighted imaging (DWI), are key in assessing hypoxic brain injury, offering valuable prognostic insights when combined with clinical evaluations and biomarkers.
  datacite Tripdatabase 2026 置信度 0.66 hypoxic brain injuryassessment methodsneurological evaluationbrain injury diagnosishypoxia
• AI-Driven Approaches in Neuro-Oncology: From Imaging to Treatment
  The integration of artificial intelligence (AI) into neuro-oncology has transformed the methods used for diagnosing, predicting outcomes, and treating brain tumors. This review explores both current and emerging AI-based techniques in the neuro-oncology field,…
  datacite Siva Krishna Konda*, Madhuri Kokkonda, Sumayya Qatun Mohammed, Sushma Kottapalli 2026 置信度 0.66 Artificial Intelligence, Machine Learning, Brain Neoplasms, Magnetic Resonance Imaging, Radiomics, Precision Medicine, Treatment Outcome
• AI-Driven Approaches in Neuro-Oncology: From Imaging to Treatment
  The integration of artificial intelligence (AI) into neuro-oncology has transformed the methods used for diagnosing, predicting outcomes, and treating brain tumors. This review explores both current and emerging AI-based techniques in the neuro-oncology field,…
  datacite Siva Krishna Konda*, Madhuri Kokkonda, Sumayya Qatun Mohammed, Sushma Kottapalli 2026 置信度 0.66 Artificial Intelligence, Machine Learning, Brain Neoplasms, Magnetic Resonance Imaging, Radiomics, Precision Medicine, Treatment Outcome
• A fluorescent molecular imaging probe with selectivity for soluble tau aggregated protein.
  Soluble forms of aggregated tau misfolded protein, generally termed oligomers, are considered to be the most toxic species of the different assembly states that are the pathological components of neurodegenerative disorders. Therefore, a critical biomedical ne…
  datacite Zhao, Yanyan, Tietz, Ole, Kuan, Wei-Li, Haji-Dheere, Abdul K 等 2020 置信度 0.66 34 Chemical SciencesAlzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD)Biomedical ImagingAcquired Cognitive ImpairmentDementia
• Brain imaging of zebrafish larva under spontaneous activities
  This video shows whole-brain images over 175 seconds, presenting spontaneous neural activity of an elavl3:H2B-GCaMP6s zebrafish larva. Individual neurons and their calcium fluctuations can be clearly identified.
  datacite Yang, Hongrun 2026 置信度 0.66
• Brain imaging of zebrafish larva under spontaneous activities
  This video shows whole-brain images over 175 seconds, presenting spontaneous neural activity of an elavl3:H2B-GCaMP6s zebrafish larva. Individual neurons and their calcium fluctuations can be clearly identified.
  datacite Yang, Hongrun 2026 置信度 0.66
• NeuroVision: An Explainable Deep Learning System for Brain Tumor Detection from MRI Images
  Early detection of brain tumors is crucial for effective treatment planning and improved patient survival. However, manual interpretation of Magnetic Resonance Imaging scans is time consuming and subject to diagnostic inconsistencies. This paper presents Neuro…
  datacite Niha Ashraf C 2026 置信度 0.66 Brain tumor detectionMRI image classificationDeep learningEfficientNetB0Grad-CAM
• NeuroVision: An Explainable Deep Learning System for Brain Tumor Detection from MRI Images
  Early detection of brain tumors is crucial for effective treatment planning and improved patient survival. However, manual interpretation of Magnetic Resonance Imaging scans is time consuming and subject to diagnostic inconsistencies. This paper presents Neuro…
  datacite Niha Ashraf C 2026 置信度 0.66 Brain tumor detectionMRI image classificationDeep learningEfficientNetB0Grad-CAM
• Network dynamics scale with levels of awareness
  Abstract Small world topologies are thought to provide a valuable insight into human brain organisation and consciousness. However, functional magnetic resonance imaging studies in consciousness have not yielded consistent results. Given the importance of dyna…
  datacite Coppola, Peter, Spindler, Lennart RB, Luppi, Andrea I, Adapa, Ram 等 2021 置信度 0.66 5202 Biological Psychology51 Physical Sciences52 PsychologyBasic Behavioral and Social ScienceBiomedical Imaging
• INVESTIGATIONS ON COGNITIVE COMPUTATION AND COMPUTATIONAL COGNITION
  This Thesis describes our work at the boundary between Computer Science and Cognitive (Neuro)Science. In particular, (1) we have worked on methodological improvements to clustering-based meta-analysis of neuroimaging data, which is a technique that allows to c…
  datacite I. Cattinelli 2011 置信度 0.66
• Modelling Neuron Morphology: Automated Reconstruction from Microscopy Images
  Understanding how the brain works is, beyond a shadow of doubt, one of the greatest challenges for modern science. Achieving a deep knowledge about the structure, function and development of the nervous system at the molecular, cellular and network levels is c…
  datacite BAGLIETTO, SILVIA 2018 置信度 0.66
• Neural activations and representations during episodic versus semantic memory retrieval.
  Although the distinction between episodic and semantic memory is supported by numerous neuropsychological studies, neuroimaging data have shown considerable overlap between regions that are activated during semantic and episodic remembering. This might indicat…
  datacite Tibon, Roni, Greve, Andrea, Humphreys, Gina, Quent, Jörn Alexander 等 2026 置信度 0.66 Mental RecallBrain MappingSemanticsMagnetic Resonance ImagingNeuropsychological Tests
• Challenges of Open Neuroimaging Data Reuse: Anatomical Constraints and Guidelines for Thalamic Research
  This work is being revised for peer reviewed publication. Abstract: Responsible reuse of open magnetic resonance imaging (MRI) datasets in the human subcortex is motivated by both practical and scientific arguments. However, without careful anatomical and meth…
  datacite Bach Cuadra, Meritxell, Haast, Roy, Lella, Annalisa, Sambuco, Nicola 等 2026 置信度 0.66 ThalamusBrainNeuroanatomyOpen dataSubcortical segmentation
• Challenges of Open Neuroimaging Data Reuse: Anatomical Constraints and Guidelines for Thalamic Research
  This work is being revised for peer reviewed publication. Abstract: Responsible reuse of open magnetic resonance imaging (MRI) datasets in the human subcortex is motivated by both practical and scientific arguments. However, without careful anatomical and meth…
  datacite Bach Cuadra, Meritxell, Haast, Roy, Lella, Annalisa, Sambuco, Nicola 等 2026 置信度 0.66 ThalamusBrainNeuroanatomyOpen dataSubcortical segmentation
• GLIOBLASTOMA MULTIFORME: CURRENT CHALLENGES IN DIAGNOSIS, TREATMENT, AND FUTURE THERAPEUTIC STRATEGIES
  Glioblastoma multiforme (GBM) is the most aggressive and common primary malignant brain tumor in adults. Despite significant advances in neuro-oncology, neurosurgery, molecular biology, and medical imaging, glioblastoma remains associated with poor prognosis a…
  datacite Murodillayeva Ruxshona Jasurbek qizi, Tirkashev Adxam Uktamjonovich, Iskandarova Bahora Bektosh qizi, Ergasheva Fotima Anvar qizi 2026 置信度 0.66 Glioblastoma multiforme; glioblastoma; brain tumor; neuro-oncology; magnetic resonance imaging; immunotherapy; targeted therapy; molecular biomarkers; neurosurgery.
• GLIOBLASTOMA MULTIFORME: CURRENT CHALLENGES IN DIAGNOSIS, TREATMENT, AND FUTURE THERAPEUTIC STRATEGIES
  Glioblastoma multiforme (GBM) is the most aggressive and common primary malignant brain tumor in adults. Despite significant advances in neuro-oncology, neurosurgery, molecular biology, and medical imaging, glioblastoma remains associated with poor prognosis a…
  datacite Murodillayeva Ruxshona Jasurbek qizi, Tirkashev Adxam Uktamjonovich, Iskandarova Bahora Bektosh qizi, Ergasheva Fotima Anvar qizi 2026 置信度 0.66 Glioblastoma multiforme; glioblastoma; brain tumor; neuro-oncology; magnetic resonance imaging; immunotherapy; targeted therapy; molecular biomarkers; neurosurgery.
• dicompare schema: Protocols for DWI analysis (v1.1)
  **Overview:** Diffusion-weighted MRI enable the quantification of brain microstructure and structural connectivity in the living human brain using various modeling and analysis approaches. Each of such modeling and analysis approaches have specific requirement…
  datacite Jelle Veraart, Santiago Coelho 2026 置信度 0.66 dicompareDICOMMRIquality assurancevalidation
• dicompare schema: Protocols for DWI analysis (v1.1)
  **Overview:** Diffusion-weighted MRI enable the quantification of brain microstructure and structural connectivity in the living human brain using various modeling and analysis approaches. Each of such modeling and analysis approaches have specific requirement…
  datacite Jelle Veraart, Santiago Coelho 2026 置信度 0.66 dicompareDICOMMRIquality assurancevalidation
• High-speed whole-brain imaging in <i>Drosophila</i>
  Recent advances in brain-wide recordings of small animals such as worms, fish, and flies have revealed complex activity involving large populations of neurons. In the Drosophila brain, with about 140,000 neurons, brain-wide recordings have been critical to unc…
  preprints 2025 置信度 0.74
• The Brain Imaging and Neurophysiology Database: BINDing multimodal neural data into a large-scale repository
  1 The Brain Imaging and Neurophysiology Database (BIND) represents one of the largest multi-institutional, multimodal, clinical neuroimaging repositories, comprising 1.8 million brain scans from 38,945 patients, linked to neurophysiological recordings. This co…
  preprints 2025 置信度 0.74
• Neuro-BOTs: Biologically-Informed Transformers for Brain Imaging Analysis
  Transformer models have revolutionized natural language processing by enabling flexible,parallel processing of complex input–output relationships. Here, we adapt this architecture to brain imaging through a biologically informed framework called Neuro-BOTs. Un…
  preprints 2025 置信度 0.74
• Subtyping Schizophrenia Using Brain Imaging: A Critical Appraisal of Clustering-Based Models
  Background Efforts to define biologically grounded subtypes of schizophrenia have increasingly leveraged neuroimaging data and clustering algorithms. Such approaches aim to capture patient-level heterogeneity with potential clinical and mechanistic relevance. …
  preprints 2025 置信度 0.74
• Genetic associations of externalising and internalising symptoms with brain imaging and cell types among autistic individuals and the general population
  ABSTRACT Externalising and internalising symptoms span multiple psychiatric diagnoses. Although similar measures assess these traits in autistic and non-autistic populations, it remains unclear whether their polygenic influences and biological mechanisms align…
  preprints 2025 置信度 0.74
• Feature Integration of [ ¹⁸ F]FDG PET Brain Imaging Using Deep Learning for Sensitive Cognitive Decline Detection
  Background Distinguishing individuals with cognitive decline (CD), including early Alzheimer’s disease, from cognitively normal (CN) individuals is essential for improving diagnostic accuracy and enabling timely intervention. Positron emission tomography (PET)…
  preprints 2026 置信度 0.74
• Resomapper: A Versatile Pipeline for Multiparametric MRI Processing. A Demonstrative Application in Mouse Brain Imaging
  Objectives Magnetic resonance imaging (MRI) is essential in both research and clinical settings, with quantitative MRI (qMRI) enhancing reproducibility and sensitivity. However, qMRI processing can be complex, especially for users with limited coding experienc…
  preprints 2025 置信度 0.74
• Evolution of Hierarchical Phase-Contrast Tomography on the European Synchrotron beamlines BM05 and BM18: a whole adult human brain imaging case study
  Hierarchical Phase-Contrast Tomography (HiP-CT) was recently developed to enable the ex-vivo imaging of human organs at multiple scales from whole organ down to cellular level. Using whole adult human brain imaging as a case study, this manuscript shows the ev…
  preprints 2026 置信度 0.74
• BrainSignsNET: Deep Learning-Based 3D Anatomical Landmark Detection in Human Brain Imaging
  Accurate detection of anatomical landmarks in brain Magnetic Resonance Imaging (MRI) scans is essential for reliable spatial normalization, image alignment, and quantitative neuroimaging analyses. In this study, we introduce BrainSignsNET, a deep learning fram…
  preprints 2025 置信度 0.74
• Integrating Brain Imaging Volumetrics and Quantitative Pupillometry for Predicting Neurologic Deterioration after Large Hemispheric Stroke
  Abstract Background: Cerebral edema is a life-threatening complication of large ischemic stroke. Imaging assessment of global and hemispheric cerebrospinal fluid (CSF) volumetrics quantifies edema progression, while quantitative pupillometry provides real-time…
  preprints 2025 置信度 0.74
• The Taco Setup: A Novel TMS-fMRI Setup for High Resolution Whole Brain Imaging
  Simultaneous TMS-fMRI holds significant opportunities for advancing basic and translational neuroscience. However, current configurations face technical limitations, particularly the need to accommodate TMS hardware within the MRI environment. Previous solutio…
  preprints 2025 置信度 0.74
• Momentary Brain Imaging Assessment of Neuroplasticity in Psychiatric Illness: Protocol for Systematic Review
  Abstract Background: Neuroplasticity describes the brain’s ability to adapt in response to alterations in the environment, and is fundamental to learning. Reduced neuroplasticity has been proposed to underlie several psychiatric symptoms and disorders. Advance…
  preprints 2025 置信度 0.74
• Mobile Human Brain Imaging using Functional Ultrasound
  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 brings us closer to this goal with functi…
  preprints 2024 置信度 0.74
• Benzimidazole-Quinazoline Fused Derivativesvia In-Silico Study Approach Targeting GABA A Receptor for PET-based Brain Imaging
  Abstract Epilepsy is a neurological disorder that originates from an electrical imbalance in the brain. According to the data, approximately. ~50 millionpeople are affected by this disease. Exploring the epileptic region of the brain using positron emission to…
  preprints 2025 置信度 0.74
• A large dataset of brain imaging linked to health systems data: the curation and access to a whole system national cohort from NHS Scotland
  ABSTRACT We present the design and implementation of a data curation framework to generate a large-scale clinical brain imaging dataset suitable for artificial intelligence (AI) enabled image analysis, accessible through the Brain Health Data (BHD) initiative.…
  preprints 2025 置信度 0.74
• Pitfalls of mapping functional and molecular human brain imaging data from separate cohorts
  It has become increasingly common to probe correlations between human brain imaging measures of receptor/protein binding and function using population-level brain maps drawn from independent cohorts, estimating correlations across regions. This strategy raises…
  preprints 2025 置信度 0.74
• Spinal Cord Versus Brain Imaging Biomarkers of Multiple Sclerosis Trajectory Combining 7T and 3T MRI
  Background In multiple sclerosis (MS), 7 Tesla (7T) MRI improves the visualization of cortical (CLs) and white matter (WM) lesions with a paramagnetic rim (PRLs), associated with smoldering inflammation. Spinal cord (SC) atrophy is a critical determinant of cl…
  preprints 2025 置信度 0.74
• A Compact Two-Photon Module for Simultaneous Dual-Depth, Multi-Region <i>in vivo</i> Brain Imaging
  Understanding how distributed brain regions interact across cortical depths is crucial for uncovering the neural basis of behavior and cognition. Two-photon microscopy (2PM) excels at imaging the superficial layer, while three-photon microscopy (3PM) penetrate…
  preprints 2025 置信度 0.74
• Rapid adaptive optics enabling near noninvasive high-resolution brain imaging in awake behaving mice
  High-resolution imaging under physiological conditions is essential for studying biological mechanisms and disease processes. However, achieving this goal remains challenging due to optical aberrations and scattering from heterogeneous tissue structures, compo…
  preprints 2025 置信度 0.74
• A versatile miniature two-photon microscope enabling multicolor deep-brain imaging
  Here we present the FHIRM-TPM 3.0, a 2.6 g miniature two-photon microscope capable of multicolor deep-brain imaging in freely behaving mice. The system was integrated with a broadband anti-resonant hollow-core fiber featuring low transmission loss, minimal dis…
  preprints 2025 置信度 0.74
• Momentary Brain Imaging Assessment of Neuroplasticity in Psychiatric Illness: Protocol for Systematic Review
  Background Neuroplasticity describes the brain’s ability to adapt in response to alterations in the environment, and is fundamental to learning. Reduced neuroplasticity has been proposed to underlie several psychiatric symptoms and disorders. Advances in neuro…
  preprints 2025 置信度 0.74
• Statistically valid explainable black-box machine learning: applications in sex classification across species using brain imaging
  Sex classification using neuroimaging data has the potential to revolutionize personalized diagnostics by revealing subtle structural brain differences that underlie sex-specific disease risks. Despite the promise of machine learning, traditional methods often…
  preprints 2025 置信度 0.74
• China Autism Brain Imaging Consortium: Charting Brain Growth in Chinese Children with Autism
  Autism Spectrum Disorder (ASD) is a lifelong neurodevelopmental condition characterized by atypical brain growth. While advances in neuroimaging and openly sharing large-sample datasets such as the Autism Brain Imaging Data Exchange (ABIDE) have improved under…
  preprints 2025 置信度 0.74
• High-pressure Golgi neuronal staining for X-ray whole-brain imaging
  Whole-brain imaging has revolutionized neuroscience research, providing comprehensive insights into neural networks across the entire brain. This powerful approach has greatly advanced our understanding of brain functions and the mechanisms underlying various …
  preprints 2025 置信度 0.74
• Real-world brain imaging in a population-based cohort enables accurate markers for dementia
  INTRODUCTION While a vast amount of MRI data are collected for healthcare delivery, generating real-world evidence (RWE) in Alzheimer’s and related diseases (ADRD) research is substantially limited by lack of methods and results showing how routine MRIs can be…
  preprints 2025 置信度 0.74
• Self-Consciousness Mitigates Weight Gain related to Internalized Weight Bias: Cross-Cultural Survey and Brain Imaging
  Abstract Weight bias internalization (WBI), where individuals adopt negative stereotypes about excess weight, is linked to adverse health outcomes. Although prior research indicates associations between WBI, weight status, and psychological factors linked to s…
  preprints 2025 置信度 0.74
• A Multimodal Foundation Model for Discovering Genetic Associations with Brain Imaging Phenotypes
  Due to the intricate etiology of neurological disorders, finding interpretable associations between multi-omics features can be challenging using standard approaches. We propose COMICAL , a contrastive learning approach leveraging multi-omics data to generate …
  preprints 2024 置信度 0.74
• Deep-Tissue Two-Photon Brain Imaging Enabled by a Tunable Fiber-Optic Dispersive Wave Generator
  Here, we present a fiber-optic dispersive wave generator for highly-efficient, wavelength-tunable ultrashort pulse generation, enabling multicolor deep-tissue two-photon imaging of neuronal and vascular structures in labeled mouse brain. Guided by comprehensiv…
  preprints 2025 置信度 0.74
• Biophysical validation of explainable AI for functional brain imaging: bridging cellular mechanisms and network dynamics
  Deep neural networks have revolutionized functional neuroimaging analysis but remain “black boxes,” concealing which brain mechanisms and regions drive their predictions—a critical limitation for clinical neuroscience. Here we develop and validate an explainab…
  preprints 2025 置信度 0.74
• Supervised Phenotype Discovery from Multimodal Brain Imaging
  Abstract Data-driven discovery of image-derived phenotypes (IDPs) from large-scale multimodal brain imaging data has enormous potential for neuroscientific and clinical research by linking IDPs to subjects' demographic, behavioural, clinical and cognitive meas…
  preprints 2024 置信度 0.74
• Multimodal brain imaging of insomnia, depression and anxiety symptoms: transdiagnostic commonalities and differences
  Insomnia disorder, major depressive disorder and anxiety disorders are the most common mental health conditions, with high comorbidity and genetic overlap suggesting shared brain mechanisms. Studies on brain correlates of these disorders have not fully address…
  preprints 2024 置信度 0.74
• Functional Brain Imaging and Targeted Lesion Studies Using Manganese-Enhanced MRI and Focused Ultrasound in Non-Conventional Model Species
  ABSTRACT Linking behavior to its neuroanatomical basis in non-conventional model species remains a significant challenge due to the scarcity of imaging and molecular tools. Commonly used approaches such as electrophysiological recordings rely on precise stereo…
  preprints 2025 置信度 0.74
• Spurious correlations in surface-based functional brain imaging
  The study of functional MRI data is increasingly performed after mapping from volumetric voxels to surface vertices. Processing pipelines commonly used to achieve this mapping produce meshes with uneven vertex spacing, with closer neighbours in sulci compared …
  preprints 2024 置信度 0.74
• Advances in Deep Brain Imaging with Quantum Dots: Structural, Functional, and Disease Specific Roles
  Quantum dots (QDs) have emerged as promising tools in advancing multiphoton microscopy (MPM) for deep brain imaging, addressing long-standing challenges in resolution, penetration depth, and light-tissue interactions. MPM, which relies on nonlinear photon abso…
  preprints 2024 置信度 0.74
• Brain imaging phenotypes associated with polygenic risk for Essential Tremor
  Essential tremor (ET) is a common movement disorder with a strong genetic basis. Magnetic resonance imaging (MRI), particularly diffusion-weighted MRI (dMRI) and T1 MRI has been used to identify brain abnormalities of ET patients. However, the mechanisms by wh…
  preprints 2024 置信度 0.74
• Deriving Mendelian Randomization-based Causal Networks of Brain Imaging Phenotypes and Bipolar Disorder
  Neuroanatomical variation in individuals with bipolar disorder (BD) has been previously described in observational studies. However, the causal dynamics of these relationships remain unexplored. We performed Mendelian Randomization of 297 structural and functi…
  preprints 2024 置信度 0.74
• High-throughput two-photon volumetric brain imaging in freely moving mice
  Imaging neural activities across large volumes at subcellular resolution without impeding animal behaviors remains difficult. Here, we develop a high-throughput miniature Bessel-beam two-photon microscope (miniBB2p) capable of imaging calcium dynamics from neu…
  preprints 2024 置信度 0.74
• A 128-channel receive array with enhanced SNR performance for 10.5 tesla brain imaging
  ABSTRACT Purpose To develop and characterize the performance of a 128-channel head array for brain imaging at 10.5 tesla and evaluate the potential of brain imaging at this unique, >10 tesla magnetic field. Methods The coil is composed of a 16-channel self-dec…
  preprints 2024 置信度 0.74
• Increasing the Construct Validity of Computational Phenotypes of Mental Illness Through Active Inference and Brain Imaging
  After more than 30 years since its inception, the utility of brain imaging for understanding and diagnosing mental illnesses is in doubt, receiving well-grounded criticisms from clinical practi-tioners. The symptom-based correlational approach seems unable to …
  preprints 2024 置信度 0.74
• hyve, a compositional visualisation engine for brain imaging data
  Visualisations facilitate the interpretation of geometrically structured data and results. However, heterogeneous geometries—such as volumes, surfaces, and networks—have traditionally mandated different software approaches. We introduce hyve , a Python library…
  preprints 2024 置信度 0.74
• The Brain Imaging for Global Health (BRIGHT) Project: Longitudinal cohort study protocol
  There is a scarcity of prospective longitudinal research targeted at early postnatal life which maps developmental pathways of early-stage processing and brain specialisation in the context of early adversity. Follow up from infancy into the one-five year age …
  preprints 2024 置信度 0.74
• Longitudinal speech understanding outcomes in cochlear implant recipients are associated with neural factors identified using psychophysics and functional brain imaging
  Objective: There remain large variations in cochlear implant outcomes which are poorly explained by patient history factors. This study aims to better understand how different neural limitations along the auditory processing pathway are associated with speech …
  preprints 2025 置信度 0.74
• <i>What</i> and <i>where</i> in electromagnetic brain imaging
  To understand the brain, we may record electromagnetic signals and use them to infer the dynamics of brain activity (the “what”), and the location or distribution of its sources within the brain (the “where”). In this paper, these two aspects emerge from the e…
  preprints 2024 置信度 0.74
• Brain imaging and machine learning reveal uncoupled functional network for contextual threat memory in long sepsis
  Abstract Positron emission tomography (PET) is a highly sensitive tool for studying physiology and metabolism through positron-emitting radionuclides that label molecular targets in the body with unparalleled specificity, without disturbing their biological fu…
  preprints 2024 置信度 0.74
• Single Objective Light Sheet Microscopy allows high-resolution <i>in</i> vivo brain imaging of Drosophila.
  In vivo imaging of dynamic sub-cellular brain structures in Drosophila melanogaster is key to understanding several phenomena in neuroscience. However, its implementation has been hindered by a trade-off between spatial resolution, speed, photobleaching, photo…
  preprints 2024 置信度 0.74
• ninjaCap: A fully customizable and 3D printable headgear for fNIRS and EEG brain imaging
  Significance Accurate sensor placement is vital for non-invasive brain imaging, particularly for functional near infrared spectroscopy (fNIRS) and diffuse optical tomography (DOT), which lack standardized layouts like EEG. Custom, manually prepared probe layou…
  preprints 2024 置信度 0.74
• Interoceptive disruption in functional neurological disorder: a multimodal brain imaging study
  ABSTRACT This multimodal brain imaging study investigated functional MRI (fMRI) neural processing of cardiac interoceptive signals in 38 patients with functional neurological disorder (FND) compared to 38 healthy controls (HCs). Additionally, we characterized …
  preprints 2024 置信度 0.74
• Brain Imaging-derived Phenotypes and Stroke: A Bidirectional Mendelian Randomization Study Unveils Causal Links between Thalamic Nuclei Volume and Stroke Risk in the European Population
  Background and Aims Recent advances in brain-imaging techniques have enabled the identification of brain imaging-derived phenotypes (IDPs), representing physiological brain structure. Observational studies have suggested a correlation between these IDPs and st…
  preprints 2025 置信度 0.74
• Functional brain imaging predicts population-level visits to urban spaces
  Urbanization is increasing around the world, and urban development strategies focusing on sustainability and the welfare of urban residents are needed. In response to this need, the field of neurourbanism has emerged, which leverages research on the human brai…
  preprints 2024 置信度 0.74
• Self-reports map the landscape of task states derived from brain imaging
  Abstract Psychological states influence our happiness and productivity; however, estimates of their impact have historically been assumed to be limited by the accuracy with which introspection can quantify them. Over the last two decades, studies have shown th…
  preprints 2024 置信度 0.74
• Human Brain Imaging of Dopamine Transporters
  crossref Andrea Varrone, Christer Halldin 2014-01-18T20:47:26Z 置信度 0.70