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Unraveling Integration-Segregation Imbalances in Schizophrenia Through Topological High-Order Functional Connectivity
Unraveling Integration-Segregation Imbalances in Schizophrenia Through Topological High-Order Functional Connectivity
Background: The occurrence of brain disorders correlates with detectable dysfunctions in the specialization of brain conne...
SeizyML: An Application for Semi-Automated Seizure Detection Using Interpretable Machine Learning Models
SeizyML: An Application for Semi-Automated Seizure Detection Using Interpretable Machine Learning Models
Despite the vast number of publications reporting seizures and the reliance of the field on accurate seizure detection, th...
Efficient, Automatic, and Reproducible Patch Clamp Data Analysis with “Auto ANT”, a User-Friendly Interface for Batch Analysis of Patch Clamp Recordings
Efficient, Automatic, and Reproducible Patch Clamp Data Analysis with “Auto ANT”, a User-Friendly Interface for Batch Analysis of Patch Clamp Recordings
Patch-clamp recordings are vital for investigating the electrical properties of excitable cells, yet the analysis of these...
Optimizing Colocalized Cell Counting Using Automated and Semiautomated Methods
Optimizing Colocalized Cell Counting Using Automated and Semiautomated Methods
Inflammation within the spinal subarachnoid space leads to arachnoid hypercellularity. Multiplex immunohistochemistry (MP-...
Estimation of Task-Related Dynamic Brain Connectivity via Data Inflation and Classification Model Explainability
Estimation of Task-Related Dynamic Brain Connectivity via Data Inflation and Classification Model Explainability
Study of brain function often involves analyzing task-related switching between intrinsic brain networks, which connect va...
Revealing the Multivariate Associations Between Autistic Traits and Principal Functional Connectome
Revealing the Multivariate Associations Between Autistic Traits and Principal Functional Connectome
Autism Spectrum Disorder (ASD) is a multifaceted neurodevelopmental condition characterized by a spectrum of behavioral an...
Classification of Major Depressive Disorder Using Graph Attention Mechanism with Multi-Site rs-fMRI Data
Classification of Major Depressive Disorder Using Graph Attention Mechanism with Multi-Site rs-fMRI Data
Major Depressive Disorder (MDD) significantly impacts global health, impairing individual functioning and increasing socio...
Predicting Placebo Responses Using EEG and Deep Convolutional Neural Networks: Correlations with Clinical Data Across Three Independent Datasets
Predicting Placebo Responses Using EEG and Deep Convolutional Neural Networks: Correlations with Clinical Data Across Three Independent Datasets
Identifying likely placebo responders can help design more efficient clinical trials by stratifying participants, reducing...
Genetic Insights into Brain Morphology: a Genome-Wide Association Study of Cortical Thickness and T-Weighted MRI Gray Matter-White Matter Intensity Contrast
Genetic Insights into Brain Morphology: a Genome-Wide Association Study of Cortical Thickness and T-Weighted MRI Gray Matter-White Matter Intensity Contrast
In T1-weighted magnetic resonance imaging (MRI), cortical thickness (CT) and gray-white matter contrast (GWC) capture brai...
SlicesMapi: An Interactive Three-Dimensional Registration Method for Serial Histological Brain Slices
SlicesMapi: An Interactive Three-Dimensional Registration Method for Serial Histological Brain Slices
Brain slicing is a commonly used technique in brain science research. In order to study the spatial distribution of labele...
Mathematical and Dynamic Modeling of the Anatomical Localization of the Insula in the Brain
Mathematical and Dynamic Modeling of the Anatomical Localization of the Insula in the Brain
The insula, a deeply situated cortical structure beneath the Sylvian sulcus, plays a critical role in sensory integration,...
Semi-automated Analysis of Beading in Degenerating Axons
Semi-automated Analysis of Beading in Degenerating Axons
Axonal beading is a key morphological indicator of axonal degeneration, which plays a significant role in various neurodeg...
Alterations in Gray Matter Structure Linked to Frequency-Specific Cortico-Subcortical Connectivity in Schizophrenia via Multimodal Data Fusion
Alterations in Gray Matter Structure Linked to Frequency-Specific Cortico-Subcortical Connectivity in Schizophrenia via Multimodal Data Fusion
Schizophrenia (SZ) is a complex psychiatric disorder that is currently defined by symptomatic and behavioral, rather than ...
Cerebellar Micro Complex Model Using Histologic Boolean Mapping Simulates Adaptive Motor Control
Cerebellar Micro Complex Model Using Histologic Boolean Mapping Simulates Adaptive Motor Control
Despite extensive cerebellar research, the functional role of individual cerebellar micro complexes (CmCs) in motor coordi...
Sharing Neuroimaging Data with – A Relational Data Format to Store Raw to Analyzed Data and Everything in Between
Sharing Neuroimaging Data with – A Relational Data Format to Store Raw to Analyzed Data and Everything in Between
Reproducibility of neuroimaging analyses and aggregation of heterogenous datasets are significant challenges in human subj...
Prediction of Cerebrospinal Fluid (CSF) Pressure with Generative Adversarial Network Synthetic Plasma-CSF Biomarker Pairing
Prediction of Cerebrospinal Fluid (CSF) Pressure with Generative Adversarial Network Synthetic Plasma-CSF Biomarker Pairing
Non-invasive intracranial pressure (ICP) monitoring can help clinicians safely and efficiently monitor spaceflight-associa...
The Impact of Gray Matter Structural Changes on Clinical Disability in Multiple Sclerosis: Voxel-and Surface-Based Analyses
The Impact of Gray Matter Structural Changes on Clinical Disability in Multiple Sclerosis: Voxel-and Surface-Based Analyses
This study used voxel- and surface-based morphometry to analyze the changes in gray matter structure in MS patients and th...
Scikit-NeuroMSI: A Generalized Framework for Modeling Multisensory Integration
Scikit-NeuroMSI: A Generalized Framework for Modeling Multisensory Integration
Multisensory integration is a fundamental neural mechanism crucial for understanding cognition. Multiple theoretical model...
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...
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