Stephan Heunis
A5082896155- Functional Brain Connectivity Studies
- Research Data Management Practices
- Scientific Computing and Data Management
- Advanced MRI Techniques and Applications
- Big Data and Business Intelligence
- Advanced Neuroimaging Techniques and Applications
- Biomedical and Engineering Education
- Neural dynamics and brain function
- Meta-analysis and systematic reviews
- Patient Dignity and Privacy
- Conferences and Exhibitions Management
- Heart Rate Variability and Autonomic Control
- scientometrics and bibliometrics research
- Cell Image Analysis Techniques
- Mental Health Research Topics
- Ethics in Clinical Research
- Artificial Intelligence in Healthcare and Education
- Medical Imaging Techniques and Applications
- Crafts, Textile, and Design
- Psychosomatic Disorders and Their Treatments
- Death Anxiety and Social Exclusion
- Health and Medical Research Impacts
- Neuroendocrine regulation and behavior
- EEG and Brain-Computer Interfaces
- Respiratory Support and Mechanisms
Forschungszentrum Jülich
2021-2024
Leiden University
2023
Erasmus University Rotterdam
2021-2023
Eindhoven University of Technology
2018-2021
Kempenhaeghe
2018-2021
Brain (Germany)
2021
Institut des Sciences Cognitives Marc Jeannerod
2021
FluxPlus (Netherlands)
2018
Stellenbosch University
2013
Abstract Neurofeedback has begun to attract the attention and scrutiny of scientific medical mainstream. Here, neurofeedback researchers present a consensus-derived checklist that aims improve reporting experimental design standards in field.
Functional magnetic resonance imaging (fMRI) is a popular method for in vivo neuroimaging.Modern fMRI sequences are often weighted towards the blood oxygen level dependent (BOLD) signal, which closely linked to neuronal activity (Logothetis, 2002).This weighting achieved by tuning several parameters increase BOLD-weighted signal contrast.One such parameter "TE," or echo time.TE amount of time elapsed between when protons excited (the MRI source) and measured.Although total measured magnitude...
Summary Data analysis workflows in many scientific domains have become increasingly complex and flexible. To assess the impact of this flexibility on functional magnetic resonance imaging (fMRI) results, same dataset was independently analyzed by 70 teams, testing nine ex-ante hypotheses. The analytic approaches is exemplified fact that no two teams chose identical to analyze data. This resulted sizeable variation hypothesis test even for whose statistical maps were highly correlated at...
Abstract Despite the increasing availability of Open Science (OS) infrastructure and rise in policies to change behaviour, OS practices are not yet norm. While pioneering researchers developing practices, majority sticks status quo. To transition common practice, we must engage a critical proportion academic community. In this transition, Communities (OSCs) play key role. OSCs bottom-up learning groups scholars that discuss within across disciplines. They make knowledge more accessible...
Abstract As the global health crisis unfolded, many academic conferences moved online in 2020. This move has been hailed as a positive step towards inclusivity its attenuation of economic, physical, and legal barriers effectively enabled individuals from groups that have traditionally underrepresented to join participate. A number studies outlined how moving made it possible gather more community increased opportunities for with various constraints, e.g., caregiving responsibilities. Yet,...
Acting prosocially and feeling socially included are important factors for developing social relations. However, little is known about the development of neural trajectories prosocial behavior inclusion in transition from middle childhood to early adolescence. In this pre-registered study, we investigated behavior, inclusion, their mechanisms a three-wave longitudinal design (ages 7-13 years; NT1 = 512; NT2 456; NT3 336). We used Prosocial Cyberball Game, ball tossing game which one player...
Optimizing chest compression (CC) performance during neonatal cardiopulmonary resuscitation (CPR) is critical to improving survival outcomes since current clinical protocols often achieve only a fraction of the native cardiovascular perfusion. This study presents development diagnostic tool unobtrusively measure CC depth and force CPR using sensors mounted on glove platform. The was evaluated by infant manikin tests two-thumb (TT) two-finger (TF) methods simulated, unventilated CPR. TT...
A variety of strategies are used to combine multi-echo functional magnetic resonance imaging (fMRI) data, yet recent literature lacks a systematic comparison the available options. Here we compare six different approaches derived from data and evaluate their influences on BOLD sensitivity for offline in particular real-time use cases: single-echo time series (based Echo 2), T2*-mapped (T2*FIT) four combined (T2*-weighted, tSNR-weighted, TE-weighted, new combination scheme termed...
Having the means to share research data openly is essential modern science. For human research, a key aspect in this endeavour obtaining consent from participants, not just take part study, which basic ethical principle, but also their with scientific community. To ensure that participants’ privacy respected, national and/or supranational regulations and laws are place. It is, however, always clear researchers what implications of those are, nor how comply them. The Open Brain Consent...
Open Science (OS) increases the quality, efficiency, and impact of science. This has been widely recognised by scholars, funders, policy makers. However, despite increasing availability infrastructure supporting OS rise in policies incentives to change behavior, practices are not yet norm. While pioneering researchers developing embracing practices, majority sticks status quo. To transition from common practice, we need engage a critical proportion academic community. In this transition,...
Real-time functional magnetic resonance imaging (rtfMRI) allows visualisation of ongoing brain activity the subject in scanner. Denoising algorithms aim to rid acquired data confounding effects, enhancing blood oxygenation level-dependent (BOLD) signal. Further image processing and analysis methods, like general linear models (GLM) or multivariate analysis, then present application-specific information researcher. These processes are typically applied regions interest but, increasingly,...
Abstract Research data management has become an indispensable skill in modern neuroscience. Researchers can benefit from following good practices as well having proficiency using particular software solutions. But these domain-agnostic skills are commonly not included domain-specific graduate education, community efforts increasingly provide early career scientists with opportunities for organised training and materials self-study. Investing effort user documentation interacting the base...
Sharing of data, processing tools, and workflows require open data hosting services management tools. Despite FAIR guidelines the increasing demand from funding agencies publishers, only a few animal studies share all experimental We present step-by-step protocol to perform version control remote collaboration for large multimodal datasets. A plan was introduced ensure security in addition homogeneous file folder structure. Changes were automatically tracked using DataLad shared on research...
As the global health crisis unfolded throughout world, many academic conferences moved online in 2020. This move has been hailed as a positive step towards inclusivity its attenuation of economic, physical and legal barriers effectively enabled individuals who have traditionally underrepresented to join participate. A number studies outlined how moving made it possible gather more community increased opportunities for with various constraints, e.g. caregiving responsibilities. Yet, mere...
Abstract A variety of strategies are used to combine multi-echo functional magnetic resonance imaging (fMRI) data, yet recent literature lacks a systematic comparison the available options. Here we compare six different approaches derived from data and evaluate their influences on BOLD sensitivity for offline in particular real-time use cases: single-echo time series (based Echo 2), T 2 * -mapped ( *FIT ) four combined -weighted, tSNR-weighted, TE-weighted, new combination scheme termed...
Abstract A multi-echo fMRI dataset (N=28 healthy participants) with four task-based and two resting state runs was collected, curated made available to the community. Its main purpose is advance development of methods for real-time functional magnetic resonance imaging (rt-me-fMRI) analysis applications in neurofeedback, quality control, adaptive paradigms, although variety experimental task paradigms supports a multitude use cases. Tasks include finger tapping, emotional face shape...
OHBM Brainhack 2022 took place in June 2022. The first hybrid hackathon, it had an in-person component taking Glasgow and three hubs around the globe to improve inclusivity fit as many timezones possible. In buzzing setting of Queen Margaret Union virtual platform, 23 projects were presented after development. Following are reports 14 those, well a recapitulation organisation event.
The Community of Open Scholarship Grassroots Networks (COSGN), includes 120 grassroots networks, representing virtually every region the world and research discipline. These networks communicate coordinate on topics common interest. We propose, using an NSF 19-501 Full-Scale implementation grant, to formalize governance coordination maximize impact establish standard practices for sustainability. In project period, we will increase capacity COSGN advance community goals participating...