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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...
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...
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...
Integrated 3D Modeling and Functional Simulation of the Human Amygdala: A Novel Anatomical and Computational Analyses
Integrated 3D Modeling and Functional Simulation of the Human Amygdala: A Novel Anatomical and Computational Analyses
The amygdala plays a central role in emotion, memory, and decision-making and comprises approximately 13 distinct nuclei w...
NOWBRAIN Public Repository: 3D Neuroimage Galleries
NOWBRAIN Public Repository: 3D Neuroimage Galleries
Neuroscience Information Framework. https://neuinfo.org/. Accessed 29 Apr 2025.BrainInfo. http://braininfo.rprc.washington...
Latent Growth Models of Longitudinal Changes in Functional Connectivity during Early Stage Psychosis
Latent Growth Models of Longitudinal Changes in Functional Connectivity during Early Stage Psychosis
Resting state functional magnetic resonance imaging (fMRI) is a useful technique to characterize functional connectivity p...
Identification of Mild Hepatic Encephalopathy Based on Multi-level Functional Connectivity Hypernetwork
Identification of Mild Hepatic Encephalopathy Based on Multi-level Functional Connectivity Hypernetwork
Early diagnosis of mild hepatic encephalopathy is important for the reversion of hepatic encephalopathy. Brain hyper-conne...
Overcoming Site Variability in Multisite fMRI Studies: an Autoencoder Framework for Enhanced Generalizability of Machine Learning Models
Overcoming Site Variability in Multisite fMRI Studies: an Autoencoder Framework for Enhanced Generalizability of Machine Learning Models
Harmonizing multisite functional magnetic resonance imaging (fMRI) data is crucial for eliminating site-specific variabili...
Sketching a Space of Brain States
Sketching a Space of Brain States
Brain functional connectivity alterations, that is, pathological changes in the signal exchange between areas of the brain...
Reducing Inter-Individual Differences in Task fMRI Preprocessing with OGRE (One-Step General Registration and Extraction) Preprocessing
Reducing Inter-Individual Differences in Task fMRI Preprocessing with OGRE (One-Step General Registration and Extraction) Preprocessing
Volumetric analysis methods continue to enjoy great popularity in the analysis of task-related functional MRI (fMRI) data....
A Study of Non-Linear Manifold Feature Extraction in Spike Sorting
A Study of Non-Linear Manifold Feature Extraction in Spike Sorting
With recent developments in recording hardware, the processing of neuronal data must keep up with the increasing volumes a...
Simulation Study of Envelope Wave Electrical Nerve Stimulation Based on a Real Head Model
Simulation Study of Envelope Wave Electrical Nerve Stimulation Based on a Real Head Model
In recent years, the modulation of brain neural activity by applied electromagnetic fields has become a hot spot in neuros...
NeuroCarto: A Toolkit for Building Custom Read-out Channel Maps for High Electrode-count Neural Probes
NeuroCarto: A Toolkit for Building Custom Read-out Channel Maps for High Electrode-count Neural Probes
Neuropixels probes contain thousands of electrodes across one or more shanks and are sufficiently small to allow chronic r...
Stimulation Effects Mapping for Optimizing Coil Placement for Transcranial Magnetic Stimulation
Stimulation Effects Mapping for Optimizing Coil Placement for Transcranial Magnetic Stimulation
The position and orientation of transcranial magnetic stimulation (TMS) coil, which we collectively refer to as coil place...
Automated Lesion and Feature Extraction Pipeline for Brain MRIs with Interpretability
Automated Lesion and Feature Extraction Pipeline for Brain MRIs with Interpretability
This paper introduces the Automated Lesion and Feature Extraction (ALFE) pipeline, an open-source, Python-based pipeline t...
Computational Generation of Long-range Axonal Morphologies
Computational Generation of Long-range Axonal Morphologies
Long-range axons are fundamental to brain connectivity and functional organization, enabling communication between differe...
“The Brain is…”: A Survey of the Brain’s Many Definitions
“The Brain is…”: A Survey of the Brain’s Many Definitions
A reader of the peer-reviewed neuroscience literature will often encounter expressions like the following: ‘the brai...
Classification Prediction of Hydrocephalus After Intercerebral Haemorrhage Based on Machine Learning Approach
Classification Prediction of Hydrocephalus After Intercerebral Haemorrhage Based on Machine Learning Approach
In order to construct a clinical classification prediction model for hydrocephalus after intercerebral haemorrhage(ICH) to...
Twenty Years of Neuroinformatics: A Bibliometric Analysis
Twenty Years of Neuroinformatics: A Bibliometric Analysis
This study presents a thorough bibliometric analysis of Neuroinformatics over the past 20 years, offering insights into th...
Patch-Wise Deep Learning Method for Intracranial Stenosis and Aneurysm Detection-the Tromsø Study
Patch-Wise Deep Learning Method for Intracranial Stenosis and Aneurysm Detection-the Tromsø Study
Intracranial atherosclerotic stenosis (ICAS) and intracranial aneurysms are prevalent conditions in the cerebrovascular sy...
Predicting Paediatric Brain Disorders from MRI Images Using Advanced Deep Learning Techniques
Predicting Paediatric Brain Disorders from MRI Images Using Advanced Deep Learning Techniques
The problem at hand is the significant global health challenge posed by children’s diseases, where timely and accura...
Complementary Strategies to Identify Differentially Expressed Genes in the Choroid Plexus of Patients with Progressive Multiple Sclerosis
Complementary Strategies to Identify Differentially Expressed Genes in the Choroid Plexus of Patients with Progressive Multiple Sclerosis
Multiple sclerosis (MS) is a neurological disease causing myelin and axon damage through inflammatory and autoimmune proce...
Blood Flow Velocity Analysis in Cerebral Perforating Arteries on 7T 2D Phase Contrast MRI with an Open-Source Software Tool (SELMA)
Blood Flow Velocity Analysis in Cerebral Perforating Arteries on 7T 2D Phase Contrast MRI with an Open-Source Software Tool (SELMA)
Blood flow velocity in the cerebral perforating arteries can be quantified in a two-dimensional plane with phase contrast ...
CDCG-UNet: Chaotic Optimization Assisted Brain Tumor Segmentation Based on Dilated Channel Gate Attention U-Net Model
CDCG-UNet: Chaotic Optimization Assisted Brain Tumor Segmentation Based on Dilated Channel Gate Attention U-Net Model
Brain tumours are one of the most deadly and noticeable types of cancer, affecting both children and adults. One of the ma...
Determination of the Time-frequency Features for Impulse Components in EEG Signals
Determination of the Time-frequency Features for Impulse Components in EEG Signals
Accurately identifying the timing and frequency characteristics of impulse components in EEG signals is essential but limi...
Cardiac Heterogeneity Prediction by Cardio-Neural Network Simulation
Cardiac Heterogeneity Prediction by Cardio-Neural Network Simulation
The bidirectional interactions between brain and heart through autonomic nervous system is the prime focus of neuro-cardio...
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