4.7 Article

A comparison of neuroelectrophysiology databases

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Mathematical & Computational Biology

FAIR in action: Brain-CODE-A neuroscience data sharing platform to accelerate brain research

Brendan Behan et al.

Summary: The sharing of health research data can greatly impact disease understanding and patient outcomes within the healthcare ecosystem. However, to achieve this potential, data must meet the FAIR principles of findability, accessibility, interoperability, and reusability. The Ontario Brain Institute has pioneered data sharing activities aligned with FAIR principles in neuroscience through its Brain-CODE platform and services.

FRONTIERS IN NEUROINFORMATICS (2023)

Article Multidisciplinary Sciences

Data Archive for the BRAIN Initiative (DABI)

Dominique Duncan et al.

Summary: Data sharing is essential for biomedical research, but some types of data, such as intracranial neurophysiology recordings and associated multimodal data, pose unique challenges. The Data Archive for the BRAIN Initiative (DABI) is a platform designed to address these challenges by providing a user-friendly interface for searching, visualizing, and analyzing multimodal data. Data providers maintain control over sharing privileges, ensuring data privacy and security. DABI has the potential to greatly benefit the BRAIN Initiative and advance research in the field.

SCIENTIFIC DATA (2023)

Review Neurosciences

International data governance for neuroscience

Damian O. Eke et al.

Summary: With the increase in neuroscience projects on an international scale, there is a need to consider different ethical principles, laws, regulations, and policies for data sharing. This article proposes principles and operational considerations for navigating data governance in neuroscience at an international level and highlights the gaps, challenges, and opportunities in the global brain data ecosystem.

NEURON (2022)

Article Cell Biology

Human brain mapping with multithousand-channel PtNRGrids resolves spatiotemporal dynamics

Youngbin Tchoe et al.

Summary: The study developed a reconfigurable thin-film multithousand-channel neurophysiological recording grid, which provides high spatial and temporal resolution. Experimental results demonstrate the effectiveness and practicality of the grid in both animal and human subjects.

SCIENCE TRANSLATIONAL MEDICINE (2022)

Article Multidisciplinary Sciences

AJILE12: Long-term naturalistic human intracranial neural recordings and pose

Steven M. Peterson et al.

Summary: Understanding the neural basis of human movement in naturalistic scenarios is crucial for advancing neuroscience research. This article introduces a large-scale human neurobehavioral dataset, AJILE12, which includes neural recordings and body pose trajectories, providing data and metadata for exploration and reuse.

SCIENTIFIC DATA (2022)

Article Neurosciences

Advances in human intracranial electroencephalography research, guidelines and good practices

Manuel R. Mercier et al.

Summary: Intracranial electroencephalography (iEEG) provides a detailed understanding of the human brain. This article critically reviews iEEG research practices, provides guidelines for newcomers, and addresses issues faced by experienced researchers. The paper covers data collection, electrode localization, preprocessing steps, signal analysis methods, statistical approaches, and unique perspectives on iEEG research. A glossary is also provided for consistent terminology.

NEUROIMAGE (2022)

Article Biology

The Neurodata Without Borders ecosystem for neurophysiological data science

Oliver Rubel et al.

Summary: This article introduces the design and implementation principles of a language for neurophysiology data and demonstrates the impact of NWB software in unifying the description of neurophysiology data across different species, enabling the reproducibility, interchangeability, and reusability of the data.
Article Mathematical & Computational Biology

NEMAR: an open access data, tools and compute resource operating on neuroelectromagnetic data

Arnaud Delorme et al.

Summary: To preserve and utilize publicly available scientific data, common data formatting standards must be used. Platforms like OpenNeuro and NEMAR provide storage and sharing of human neuroimaging data, along with high-performance computing resources for data processing and analysis.

DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION (2022)

Article Multidisciplinary Sciences

A multimodal cell census and atlas of the mammalian primary motor cortex

Edward M. Callaway et al.

Summary: This study presents a multimodal cell census and atlas of the mammalian primary motor cortex, integrating various molecular and spatial information to reveal a unified genetic landscape of cortical cell types. The results establish a mechanistic framework of neuronal cell-type organization by linking molecular genetic information with phenotypic properties.

NATURE (2021)

Article Biochemistry & Molecular Biology

Long-term ecological assessment of intracranial electrophysiology synchronized to behavioral markers in obsessive-compulsive disorder

Nicole R. Provenza et al.

Summary: This study identified candidate neural biomarkers of obsessive-compulsive disorder symptom intensity in ecologically valid environments, demonstrating the feasibility and utility of capturing chronic intracranial electrophysiology for neural biomarker identification.

NATURE MEDICINE (2021)

Article Biochemical Research Methods

OME-NGFF: a next-generation file format for expanding bioimaging data-access strategies

Josh Moore et al.

Summary: The rapid pace of innovation in biological imaging has led to a lack of a standardized data format. By combining established open formats with a next-generation file format and a common metadata format, bioimaging data can be made findable, accessible, interoperable, and reusable.

NATURE METHODS (2021)

Article Neurosciences

Capturing the nature of events and event context using hierarchical event descriptors (HED)

Kay Robbins et al.

Summary: This paper discusses the importance of event-related data analysis in neuroimaging, focusing on EEG, MEG, and other modalities. It emphasizes the impact of event design decisions on the value, reliability, and reproducibility of neuroimaging datasets. The use of HED annotation strategy is highlighted as a powerful tool for documenting events and their interrelationships, enabling automated analysis and comparisons across experiments.

NEUROIMAGE (2021)

Article Biology

The OpenNeuro resource for sharing of neuroscience data

Christopher J. Markiewicz et al.

Summary: The importance of sharing research data for reproducibility and maximizing the impact of public investment in scientific research is highlighted. OpenNeuro, as a BRAIN Initiative data archive, follows FAIR principles for openly sharing various brain imaging data types. The Brain Imaging Data Structure standard is emphasized for effective curation, sharing, and reuse of data.
Article Psychiatry

Intraoperative neural signals predict rapid antidepressant effects of deep brain stimulation

Mohammad S. E. Sendi et al.

Summary: This study investigated the use of machine learning classification to study the role of intraoperative electrophysiology during deep brain stimulation surgeries, finding a correlation between decreased SCC LFP beta power and antidepressant response, which could potentially guide future treatment protocols.

TRANSLATIONAL PSYCHIATRY (2021)

Article Engineering, Electrical & Electronic

PDCNNet: An Automatic Framework for the Detection of Parkinson's Disease Using EEG Signals

Smith K. Khare et al.

Summary: Parkinson's disease (PD) is a neurodegenerative ailment that causes changes in neuronal, behavioral, and physiological structures. Accurate diagnosis is challenging due to subtle early-stage changes. An automated PD detection method using SPWVD and CNN has been proposed, achieving 100% accuracy in detecting PD through EEG signal analysis.

IEEE SENSORS JOURNAL (2021)

Article Oncology

Unexpected hubness: a proof-of-concept study of the human connectome using pagerank centrality and implications for intracerebral neurosurgery

Jacky T. Yeung et al.

Summary: This study revealed that low-ranked parcellations may act as important hubs in certain individuals, emphasizing the significance of examining parcellation ranks at the personalized level in supratentorial neurosurgery planning.

JOURNAL OF NEURO-ONCOLOGY (2021)

Article Multidisciplinary Sciences

Diet modulates brain network stability, abiomarker for brain aging, in young adults

Lilianne R. Mujica-Parodi et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2020)

Article Computer Science, Cybernetics

iEEG: Dura-lining electrodes

Dora Hermes et al.

BRAIN-COMPUTER INTERFACES (2020)

Article Multidisciplinary Sciences

iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial electrophysiology

Christopher Holdgraf et al.

SCIENTIFIC DATA (2019)

Article Mathematical & Computational Biology

Brain-CODE: A Secure Neuroinformatics Platform for Management, Federation, Sharing and Analysis of Multi-Dimensiona Neuroscience Data

Anthony L. Vaccarino et al.

FRONTIERS IN NEUROINFORMATICS (2018)

Article Computer Science, Information Systems

Documenting provenance in noncomputational workflows: Research process models based on geobiology fieldwork in Yellowstone National Park

Andrea K. Thomer et al.

JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY (2018)

Article Multidisciplinary Sciences

The Neuroimaging Data Model (NIDM) API

GigaScience (2017)

Article Engineering, Biomedical

Low-Complexity Seizure Prediction From iEEG/sEEG Using Spectral Power and Ratios of Spectral Power

Zisheng Zhang et al.

IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS (2016)

Editorial Material Neurosciences

Invasive vs. Non-Invasive Neuronal Signals for Brain-Machine Interfaces: Will One Prevail?

Stephan Waldert

FRONTIERS IN NEUROSCIENCE (2016)

Review Clinical Neurology

The Ontario Brain Institute: Completing the Circle

Donald T. Stuss

CANADIAN JOURNAL OF NEUROLOGICAL SCIENCES (2014)

Editorial Material Multidisciplinary Sciences

The NIH BRAIN Initiative

Thomas R. Insel et al.

SCIENCE (2013)

Article Statistics & Probability

SAS

Robert N. Rodriguez

WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS (2011)

Article Clinical Neurology

Alzheimer's Disease Neuroimaging Initiative (ADNI) Clinical characterization

R. C. Petersen et al.

NEUROLOGY (2010)

Article Computer Science, Interdisciplinary Applications

Data sharing for computational neuroscience

Jeffrey L. Teeters et al.

NEUROINFORMATICS (2008)

Article Computer Science, Interdisciplinary Applications

The Extensible Neuroimaging Archive Toolkit - An informatics platform for managing, exploring, and sharing neuroimaging data

Daniel S. Marcus et al.

NEUROINFORMATICS (2007)