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Neuroinformatics OnlineFirst articles

18-09-2021 | Original Article

Cross-validated Adaboost Classification of Emotion Regulation Strategies Identified by Spectral Coherence in Resting-State

In the present study, quantitative relations between Cognitive Emotion Regulation strategies (CERs) and EEG synchronization levels have been investigated for the first time. For this purpose, spectral coherence (COH), phase locking value and …

14-09-2021 | Original Article

Controlling for Spurious Nonlinear Dependence in Connectivity Analyses

Recent analysis methods can capture nonlinear interactions between brain regions. However, noise sources might induce spurious nonlinear relationships between the responses in different regions. Previous research has demonstrated that traditional …

14-09-2021 | Original Article

Population-Average Brain Templates and Application to Automated Voxel-Wise Analysis Pipelines for Cynomolgus Macaque

The growing number of neuroimaging studies of cynomolgus macaques require extending existing templates to facilitate species-specific application of voxel-wise neuroimaging methodologies. This study aimed to create population-averaged structural …

06-09-2021 | Original Article Open Access

A Comparison of Cranial Cavity Extraction Tools for Non-contrast Enhanced CT Scans in Acute Stroke Patients

Cranial cavity extraction is often the first step in quantitative neuroimaging analyses. However, few automated, validated extraction tools have been developed for non-contrast enhanced CT scans (NECT). The purpose of this study was to compare and …

26-08-2021 | Original Article

Intelligible Models for HealthCare: Predicting the Probability of 6-Month Unfavorable Outcome in Patients with Ischemic Stroke

Early prediction of unfavorable outcome after ischemic stroke is significant for clinical management. Machine learning as a novel computational modeling technique could help clinicians to address the challenge. We aim to investigate the …

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Neuroinformatics publishes original articles and reviews with an emphasis on data structure and software tools related to analysis, modeling, integration, and sharing in all areas of neuroscience research. Coverage extends to theory and methodology, including discussions on ontologies, modeling approaches, database design, and meta-analyses; descriptions of developed databases and software tools, and of the methods for their distribution; relevant experimental results, such as reports accompanied by the release of massive data sets; computational simulations of models integrating and organizing complex data; and neuroengineering approaches, including hardware, robotics, and information theory studies. Neuroinformatics also publishes independent "tests and evaluations" of available neuroscience databases and software tools, and fosters a commitment to the principles of tool and data sharing.

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