Kay A. Robbins
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View article: Actionable Event Annotation and Analysis in fMRI: A Practical Guide to Event Handling
Actionable Event Annotation and Analysis in fMRI: A Practical Guide to Event Handling Open
Many common analysis methods for task-based functional MRI rely on detailed information about experiment design and events. Event recording and representation during cognitive experiments deserves more attention, as it forms an essential l…
View article: End-to-End Processing of M/EEG Data with BIDS, HED, and EEGLAB
End-to-End Processing of M/EEG Data with BIDS, HED, and EEGLAB Open
Reliable and reproducible machine-learning enabled neuroscience research requires large-scale data sharing and analysis. Essential for the effective and efficient analysis of shared datasets are standardized data and metadata organization …
View article: HED LANG – A Hierarchical Event Descriptors library extension for annotation of language cognition experiments
HED LANG – A Hierarchical Event Descriptors library extension for annotation of language cognition experiments Open
Experimental design in language cognition research often involves presenting language material whilemeasuring associated behavior and/or neural activity. To make the collected data easily and fullyanalyzable by both the original data autho…
View article: One hundred years of EEG for brain and behaviour research
One hundred years of EEG for brain and behaviour research Open
On the centenary of the first human EEG recording, more than 500 experts reflect on the impact that this discovery has had on our understanding of the brain and behaviour. We document their priorities and call for collective action focusin…
View article: Events in context—The HED framework for the study of brain, experience and behavior
Events in context—The HED framework for the study of brain, experience and behavior Open
The brain is a complex dynamic system whose current state is inextricably coupled to awareness of past, current, and anticipated future threats and opportunities that continually affect awareness and behavioral goals and decisions. Brain a…
View article: The past, present, and future of the brain imaging data structure (BIDS)
The past, present, and future of the brain imaging data structure (BIDS) Open
The Brain Imaging Data Structure (BIDS) is a community-driven standard for the organization of data and metadata from a growing range of neuroscience modalities. This paper is meant as a history of how the standard has developed and grown …
View article: The Past, Present, and Future of the Brain Imaging Data Structure (BIDS).
The Past, Present, and Future of the Brain Imaging Data Structure (BIDS). Open
The Brain Imaging Data Structure (BIDS) is a community-driven standard for the organization of data and metadata from a growing range of neuroscience modalities. This paper is meant as a history of how the standard has developed and grown …
View article: Hierarchical Event Descriptor library schema for EEG data annotation
Hierarchical Event Descriptor library schema for EEG data annotation Open
Standardizing terminology to annotate electrophysiological events can improve both computational research and clinical care. Sharing data enriched with standard terms can facilitate data exploration, from case studies to mega-analyses. The…
View article: Events in context – a framework for the study of brain, experience and behavior
Events in context – a framework for the study of brain, experience and behavior Open
The brain is a complex dynamic system whose current state is inextricably coupled to awareness of current threats and opportunities, bodily sensations, and behavioral goals and decisions in an ever-changing sensory and behavioral context u…
View article: Correction to: Building FAIR Functionality: Annotating Events in Time Series Data Using Hierarchical Event Descriptors (HED)
Correction to: Building FAIR Functionality: Annotating Events in Time Series Data Using Hierarchical Event Descriptors (HED) Open
The original version of this article unfortunately contained typesetting errors.The texts in Examples 1, 2, 3, and 4 were captured incorrectly.The correct presentation of these examples are shown below.Example 1.A first-generation HED anno…
View article: Actionable event annotation and analysis in fMRI: A practical guide to event handling
Actionable event annotation and analysis in fMRI: A practical guide to event handling Open
Many common analysis methods for task-based functional MRI rely on detailed information about experiment design and events. Event recording and representation during cognitive experiments deserves more attention, as it forms an essential l…
View article: End-to-end processing of M/EEG data with BIDS, HED, and EEGLAB
End-to-end processing of M/EEG data with BIDS, HED, and EEGLAB Open
Reliable and reproducible machine-learning enabled neuroscience research requires large-scale data sharing and analysis. Essential to the analysis of shared datasets are standardized data organization and metadata formatting, a well-docume…
View article: Capturing the nature of events and event context using Hierarchical Event Descriptors (HED)
Capturing the nature of events and event context using Hierarchical Event Descriptors (HED) Open
Event-related data analysis plays a central role in EEG and MEG (MEEG) and other neuroimaging modalities such as fMRI. Choices about which events to report and how to annotate their full natures significantly influence the value, reliabili…
View article: Building FAIR functionality: Annotating events in time series data using Hierarchical Event Descriptors (HED)
Building FAIR functionality: Annotating events in time series data using Hierarchical Event Descriptors (HED) Open
Human electrophysiological and related time series data are often acquired in complex, event-rich environments. However, the resulting recorded brain or other dynamics are often interpreted in relation to more sparsely recorded or subseque…
View article: EEG-Beats: Automated analysis of heart rate variability (HVR) from EEG-EKG
EEG-Beats: Automated analysis of heart rate variability (HVR) from EEG-EKG Open
Heart rate variability (HRV), the variation of the period between consecutive heartbeats, is an established tool for assessing physiological indicators such as stress and fatigue. In non-clinical settings, HRV is often computed from signal…
View article: How Sensitive Are EEG Results to Preprocessing Methods: A Benchmarking Study
How Sensitive Are EEG Results to Preprocessing Methods: A Benchmarking Study Open
Although several guidelines for best practices in EEG preprocessing have been released, even studies that strictly adhere to those guidelines contain considerable variation in the ways that the recommended methods are applied. An open ques…
View article: How Sensitive are EEG Results to Preprocessing Methods: A Benchmarking Study
How Sensitive are EEG Results to Preprocessing Methods: A Benchmarking Study Open
Although several guidelines for best practices in EEG preprocessing have been released, even those studies that strictly adhere to those guidelines contain considerable variation in the ways that the recommended methods are applied. An ope…
View article: Automated EEG mega-analysis II: Cognitive aspects of event related features
Automated EEG mega-analysis II: Cognitive aspects of event related features Open
We present the results of a large-scale analysis of event-related responses based on raw EEG data from 17 studies performed at six experimental sites associated with four different institutions. The analysis corpus represents 1,155 recordi…
View article: Single-Trial Classification of Disfluent Brain States in Adults Who Stutter
Single-Trial Classification of Disfluent Brain States in Adults Who Stutter Open
Normal human speech requires precise coordination between motor planning and sensory processing. Speech disfluencies are common when children learn to talk, but usually abate with time. About 5% of children experience stuttering. For most,…
View article: Automated EEG mega-analysis II: Cognitive aspects of event related features
Automated EEG mega-analysis II: Cognitive aspects of event related features Open
In this paper, we present the results of a large-scale analysis of event-related responses based on raw EEG data from 17 studies performed at six experimental sites associated with four different institutions. The analysis corpus represent…
View article: Automated EEG mega-analysis I: Spectral and amplitude characteristics across studies
Automated EEG mega-analysis I: Spectral and amplitude characteristics across studies Open
Significant achievements have been made in the fMRI field by pooling statistical results from multiple studies (meta-analysis). More recently, fMRI standardization efforts have focused on enabling the joint analysis of raw fMRI data across…
View article: Spindler: a framework for parametric analysis and detection of spindles in EEG with application to sleep spindles
Spindler: a framework for parametric analysis and detection of spindles in EEG with application to sleep spindles Open
This work demonstrates that parameter selection based on physical constraints rather than labelled data can provide effective, fully-automated, unsupervised spindle detection. This work also exposes the dangers of applying cross-validation…
View article: EEG-Annotate: Automated identification and labeling of events in continuous signals with applications to EEG
EEG-Annotate: Automated identification and labeling of events in continuous signals with applications to EEG Open
In addition to identifying potential events in unlabeled or incompletely labeled EEG, these methods also allow researchers to investigate whether particular stereotypical neural responses are present in other circumstances. Timing-toleranc…