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A Bayesian Multiplex Graph Classifier of Functional Brain Connectivity Across Diverse Tasks of Cognitive Control
A Bayesian Multiplex Graph Classifier of Functional Brain Connectivity Across Diverse Tasks of Cognitive Control
This article seeks to investigate the impact of aging on functional connectivity across different cognitive control scenar...
Improved ADHD Diagnosis Using EEG Connectivity and Deep Learning through Combining Pearson Correlation Coefficient and Phase-Locking Value
Improved ADHD Diagnosis Using EEG Connectivity and Deep Learning through Combining Pearson Correlation Coefficient and Phase-Locking Value
Attention Deficit Hyperactivity Disorder (ADHD) is a widespread neurobehavioral disorder affecting children and adolescent...
MBV-Pipe: A One-Stop Toolbox for Assessing Mouse Brain Morphological Changes for Cross-Scale Studies
MBV-Pipe: A One-Stop Toolbox for Assessing Mouse Brain Morphological Changes for Cross-Scale Studies
Mouse models are crucial for neuroscience research, yet discrepancies arise between macro- and meso-scales due to sample p...
Characteristics of the Structural Connectivity in Patients with Brain Injury and Chronic Health Symptoms: A Pilot Study
Characteristics of the Structural Connectivity in Patients with Brain Injury and Chronic Health Symptoms: A Pilot Study
Diffusion properties from diffusion tensor imaging (DTI) are exquisitely sensitive to white matter abnormalities incurred ...
Gradients of Brain Organization: Smooth Sailing from Methods Development to User Community
Gradients of Brain Organization: Smooth Sailing from Methods Development to User Community
Multimodal neuroimaging grants a powerful in vivo window into the structure and function of the human brain. Recent method...
Detection of Schizophrenia from EEG Signals using Selected Statistical Moments of MFC Coefficients and Ensemble Learning
Detection of Schizophrenia from EEG Signals using Selected Statistical Moments of MFC Coefficients and Ensemble Learning
Schizophrenia is a mental disorder characterized by neurophysiological dysfunctions that result in disturbances in thinkin...
Teaching Research Data Management with DataLad: A Multi-year, Multi-domain Effort
Teaching Research Data Management with DataLad: A Multi-year, Multi-domain Effort
Research data management has become an indispensable skill in modern neuroscience. Researchers can benefit from following ...
Effect of Electrode Distance and Size on Electrocorticographic Recordings in Human Sensorimotor Cortex
Effect of Electrode Distance and Size on Electrocorticographic Recordings in Human Sensorimotor Cortex
Subdural electrocorticography (ECoG) is a valuable technique for neuroscientific research and for emerging neurotechnologi...
Bayesian Tensor Modeling for Image-based Classification of Alzheimer’s Disease
Bayesian Tensor Modeling for Image-based Classification of Alzheimer’s Disease
Tensor-based representations are being increasingly used to represent complex data types such as imaging data, due to thei...
Anatomic Interpretability in Neuroimage Deep Learning: Saliency Approaches for Typical Aging and Traumatic Brain Injury
Anatomic Interpretability in Neuroimage Deep Learning: Saliency Approaches for Typical Aging and Traumatic Brain Injury
The black box nature of deep neural networks (DNNs) makes researchers and clinicians hesitant to rely on their findings. S...
Classifying Neuronal Cell Types Based on Shared Electrophysiological Information from Humans and Mice
Classifying Neuronal Cell Types Based on Shared Electrophysiological Information from Humans and Mice
The brain is an intricate system that controls a variety of functions. It consists of a vast number of cells that exhibit ...
Stitcher: A Surface Reconstruction Tool for Highly Gyrified Brains
Stitcher: A Surface Reconstruction Tool for Highly Gyrified Brains
Brain reconstruction, specially of the cerebral cortex, is a challenging task and even more so when it comes to highly gyr...
Interdisciplinary and Collaborative Training in Neuroscience: Insights from the Human Brain Project Education Programme
Interdisciplinary and Collaborative Training in Neuroscience: Insights from the Human Brain Project Education Programme
Neuroscience education is challenged by rapidly evolving technology and the development of interdisciplinary approaches fo...
Enhanced Spatial Fuzzy C-Means Algorithm for Brain Tissue Segmentation in T1 Images
Enhanced Spatial Fuzzy C-Means Algorithm for Brain Tissue Segmentation in T1 Images
Magnetic Resonance Imaging (MRI) plays an important role in neurology, particularly in the precise segmentation of brain t...
A Deep Learning-Based Ensemble Method for Early Diagnosis of Alzheimer’s Disease using MRI Images
A Deep Learning-Based Ensemble Method for Early Diagnosis of Alzheimer’s Disease using MRI Images
Recently, the early diagnosis of Alzheimer’s disease has gained major attention due to the growing prevalence of the...
Preserving Derivative Information while Transforming Neuronal Curves
Preserving Derivative Information while Transforming Neuronal Curves
The international neuroscience community is building the first comprehensive atlases of brain cell types to understand how...
High-Density Exploration of Activity States in a Multi-Area Brain Model
High-Density Exploration of Activity States in a Multi-Area Brain Model
To simulate whole brain dynamics with only a few equations, biophysical, mesoscopic models of local neuron populations can...
Editorial: On the Economics of Neuroscientific Data Sharing
Editorial: On the Economics of Neuroscientific Data Sharing
Abe, T., Kinsella, I., Saxena, S., Buchanan, E. K., Couto, J., Briggs, J., Kitt, S. L., Glassman, R., Zhou, J., Paninski, ...
Improving the Eligibility of Task-Based fMRI Studies for Meta-Analysis: A Review and Reporting Recommendations
Improving the Eligibility of Task-Based fMRI Studies for Meta-Analysis: A Review and Reporting Recommendations
Decisions made during the analysis or reporting of an fMRI study influence the eligibility of that study to be entered int...
Topological Data Analysis Captures Task-Driven fMRI Profiles in Individual Participants: A Classification Pipeline Based on Persistence
Topological Data Analysis Captures Task-Driven fMRI Profiles in Individual Participants: A Classification Pipeline Based on Persistence
BOLD-based fMRI is the most widely used method for studying brain function. The BOLD signal while valuable, is beset with ...
Analyzing Thalamocortical Tract-Tracing Experiments in a Common Reference Space
Analyzing Thalamocortical Tract-Tracing Experiments in a Common Reference Space
Current mesoscale connectivity atlases provide limited information about the organization of thalamocortical projections i...
Correction to: Geometric Reliability of Super-Resolution Reconstructed Images from Clinical Fetal MRI in the Second Trimester
Correction to: Geometric Reliability of Super-Resolution Reconstructed Images from Clinical Fetal MRI in the Second Trimester
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which...
Editorial: Is Now the Time for Foundational Theory of Brain Connectivity?
Editorial: Is Now the Time for Foundational Theory of Brain Connectivity?
For more than a century, the neuron doctrine has provided the bedrock of neuroscience...
Confounding Effects on the Performance of Machine Learning Analysis of Static Functional Connectivity Computed from rs-fMRI Multi-site Data
Confounding Effects on the Performance of Machine Learning Analysis of Static Functional Connectivity Computed from rs-fMRI Multi-site Data
Resting-state functional magnetic resonance imaging (rs-fMRI) is a non-invasive imaging technique widely used in neuroscie...
Auto-Segmentation and Classification of Glioma Tumors with the Goals of Treatment Response Assessment Using Deep Learning Based on Magnetic Resonance Imaging
Auto-Segmentation and Classification of Glioma Tumors with the Goals of Treatment Response Assessment Using Deep Learning Based on Magnetic Resonance Imaging
Glioma is the most common primary intracranial neoplasm in adults. Radiotherapy is a treatment approach in glioma patients...
BrainLine: An Open Pipeline for Connectivity Analysis of Heterogeneous Whole-Brain Fluorescence Volumes
BrainLine: An Open Pipeline for Connectivity Analysis of Heterogeneous Whole-Brain Fluorescence Volumes
Whole-brain image volumes at the micron scale are helping scientists characterize neuron-level morphology and connectivity...
Localization and Registration of 2D Histological Mouse Brain Images in 3D Atlas Space
Localization and Registration of 2D Histological Mouse Brain Images in 3D Atlas Space
To accurately explore the anatomical organization of neural circuits in the brain, it is crucial to map the experimental b...
Big Brain Data Initiatives in Universiti Sains Malaysia: Data Stewardship to Data Repository and Data Sharing
Big Brain Data Initiatives in Universiti Sains Malaysia: Data Stewardship to Data Repository and Data Sharing
The sharing of open-access neuroimaging data has increased significantly during the last few years. Sharing neuroimaging d...
Deep Learning Methods for Identification of White Matter Fiber Tracts: Review of State-of-the-Art and Future Prospective
Deep Learning Methods for Identification of White Matter Fiber Tracts: Review of State-of-the-Art and Future Prospective
Quantitative analysis of white matter fiber tracts from diffusion Magnetic Resonance Imaging (dMRI) data is of great signi...
Applying Joint Graph Embedding to Study Alzheimer’s Neurodegeneration Patterns in Volumetric Data
Applying Joint Graph Embedding to Study Alzheimer’s Neurodegeneration Patterns in Volumetric Data
Neurodegeneration measured through volumetry in MRI is recognized as a potential Alzheimer’s Disease (AD) biomarker,...
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