Franziska Klein

ORCID: 0000-0002-9752-5203
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About
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Research Areas
  • Optical Imaging and Spectroscopy Techniques
  • Non-Invasive Vital Sign Monitoring
  • Heart Rate Variability and Autonomic Control
  • Spectroscopy and Chemometric Analyses
  • Advanced MRI Techniques and Applications
  • EEG and Brain-Computer Interfaces
  • Functional Brain Connectivity Studies
  • Stroke Rehabilitation and Recovery
  • Mental Health Research Topics
  • Digital Mental Health Interventions
  • Peripheral Artery Disease Management
  • Traumatic Brain Injury and Neurovascular Disturbances
  • Musculoskeletal pain and rehabilitation
  • Noise Effects and Management
  • Water Quality Monitoring and Analysis
  • Phonocardiography and Auscultation Techniques
  • Transcranial Magnetic Stimulation Studies
  • Muscle activation and electromyography studies
  • Skin and Cellular Biology Research
  • Folate and B Vitamins Research
  • Drug Transport and Resistance Mechanisms
  • Inflammatory Myopathies and Dermatomyositis
  • Visual perception and processing mechanisms
  • Liver Disease Diagnosis and Treatment
  • Tactile and Sensory Interactions

Oldenburger Institut für Informatik
2023-2025

RWTH Aachen University
2023-2025

Carl von Ossietzky Universität Oldenburg
2018-2024

Universitätsklinikum Aachen
2023

Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology
2022

University of Tübingen
2022

Abstract Compared to functional magnetic resonance imaging (fMRI), near infrared spectroscopy (fNIRS) has several advantages that make it particularly interesting for neurofeedback (NFB). A pre-requisite NFB applications is with fNIRS, signals from the brain region of interest can be measured. This study focused on supplementary motor area (SMA). Healthy older participants (N = 16) completed separate continuous-wave (CW-) fNIRS and (f)MRI sessions. Data were collected executed imagined hand...

10.1038/s41598-022-06519-7 article EN cc-by Scientific Reports 2022-03-04

The expansion of functional near-infrared spectroscopy (fNIRS) methodology and analysis tools gives rise to various design analytical decisions that researchers have make. Several recent efforts developed guidelines for preprocessing, analyzing, reporting practices. For the planning stage fNIRS studies, similar guidance is desirable. Study preregistration helps transparently document study protocols before conducting study, including materials, methods, analyses, thus, others verify,...

10.1117/1.nph.10.2.023515 article EN cc-by Neurophotonics 2023-03-08

The optical brain imaging method functional near-infrared spectroscopy (fNIRS) is a promising tool for real-time applications such as neurofeedback and brain-computer interfaces. Its combination of spatial specificity mobility makes it particularly attractive clinical use, both at the bedside in patients' homes. Despite these advantages, optimizing fNIRS use requires careful attention to two key aspects: ensuring good maintaining high signal quality. While detects superficial cortical...

10.3389/fnrgo.2024.1286586 article EN cc-by Frontiers in Neuroergonomics 2024-06-05

Researchers using functional near infrared spectroscopy (fNIRS) are increasingly aware of the problem that conventional filtering methods do not eliminate systemic noise at frequencies overlapping with task frequency. This is a when signals averaged for analysis, even more so single trial data used as in online neurofeedback or BCI applications where insufficiently preprocessed means feeding back instead brain activity looking brain-behavior relationships on trial-by-trial basis. For...

10.3389/fnhum.2019.00331 article EN cc-by Frontiers in Human Neuroscience 2019-09-24

Functional near-infrared spectroscopy (fNIRS) is a promising tool for neurofeedback (NFB) or brain-computer interfaces (BCIs). However, fNIRS signals are typically highly contaminated by systemic activity (SA) artifacts, and, if not properly corrected, NFB BCIs run the risk of being based on noise instead brain activity. This can likely be reduced correcting SA, in particular when short-distance channels (SDCs) available. Literature comparing correction methods with and without SDCs still...

10.1117/1.nph.10.1.013503 article EN cc-by Neurophotonics 2022-10-12

A shared understanding of terminology is essential for clear scientific communication and minimizing misconceptions. This particularly challenging in rapidly expanding, interdisciplinary domains that utilize functional near-infrared spectroscopy (fNIRS), where researchers come from diverse backgrounds apply their expertise fields such as engineering, neuroscience, psychology. The fNIRS Glossary Project was established to develop a community-sourced glossary covering key terms, including...

10.1117/1.nph.12.2.027801 article EN cc-by Neurophotonics 2025-04-18

The hepatic Na+-taurocholate cotransporting polypeptide NTCP/SLC10A1 is important for the uptake of bile salts and selected drugs. Its inhibition results in increased systemic salt concentrations. NTCP also entry receptor hepatitis B/D virus. We investigated interindividual SLC10A1/NTCP expression using various omics technologies. mRNA expression/protein abundance was quantified well-characterized 143 human livers by real-time PCR LC-MS/MS-based targeted proteomics. Genome-wide SNP arrays...

10.3390/ijms23137468 article EN International Journal of Molecular Sciences 2022-07-05

Neurofeedback allows individuals to monitor and self-regulate their brain activity, potentially improving human function. Beyond the traditional electrophysiological approach using primarily electroencephalography, haemodynamics measured with functional magnetic resonance imaging (fMRI) more recently, near-infrared spectroscopy (fNIRS) have been used (haemodynamic-based neurofeedback), particularly improve spatial specificity of neurofeedback. Over recent years, especially fNIRS has...

10.31234/osf.io/qdjfh preprint EN 2023-11-17
Meryem A. Yücel Robert Luke Rickson C. Mesquita Alexander von Lühmann David Marc Anton Mehler and 95 more Michael Lührs Jessica Gemignani Androu Abdalmalak Franziska Albrecht Iara Almeida Christina Artemenko Kira Ashton Paweł Augustynowicz Aahana Bajracharya Élise Bannier Beatrix Barth Laurie Bayet Jacqueline Behrendt Hadi Borj Khani Lenaic Borot Jordan A. Borrell Sabrina Brigadoi Kolby Brink Chiara Bulgarelli Emmanuel Caruyer Hsin‐Chin Chen Chris Copeland Isabelle Corouge Simone Cutini Renata Di Lorenzo Thomas Dresler Adam T. Eggebrecht Ann-Christine Ehl Sinem Erdoğan Daniëlle Evenblij Talukdar Ferdous Victoria Fracalossi Erika Franzén Anne Gallagher Christian Gerloff Judit Gervain Noy Goldhamer Louisa K. Gossé Ségolène M. R. Guérin Edgar Guevara S. M. Hadi Hosseini Hamish Innes-Brown Isabell Int-Veen Sagi Jaffe‐Dax Nolwenn Jégou Hiroshi Kawaguchi Caroline M. Kelsey M. Kent Roman Kessler Nadeen Kherbawy Franziska Klein Nofar Kochavi Matthew Kolisnyk Yogev Koren Agnes Kroczek Alexander Kvist Chen Lin Andreas Löw Siying Luan Darren Mao Gaby G Martins Eike Middell Samuel Montero‐Hernández Murat Can Mutlu Sergio L. Novi Natacha Paquette Ishara Paranawithana Yisrael Parmet Jonathan E. Peelle Ke Peng Tommy Peng João Pereira Paola Pinti Luca Pollonini Ali Rahimpour Jounghani Vanessa Reindl Jana Zweerings Betti Schopp Alina Schulte Martin Schulte‐Rüther Ari Segel Tirdad Seifi-Ala Maureen J. Shader Hadas Shavit Arefeh Sherafati Mojtaba Soltanlou Bettina Sorger Emma Speh Kevin Stubbs Katharina Stute Eileen Sullivan Sungho Tak Zeus Tipado Julie Tremblay Homa Vahidi

In neuroimaging research, efforts to enhance replication and reproducibility have increased the focus on improving transparency, particularly in complex data analysis processes. We conducted a multi-lab collaborative study involving 38 international teams that analyzed two functional Near-Infrared Spectroscopy (fNIRS) datasets. These tested seven group-level forty individual-level hypotheses, they submitted detailed reports their pipelines testing outcomes. The results showed significant...

10.31222/osf.io/pc6x8 preprint EN 2024-09-24

Significance A shared understanding of terminology is essential for clear scientific communication and minimizing misconceptions. This particularly challenging in rapidly expanding, interdisciplinary domains that utilize functional near-infrared spectroscopy (fNIRS), where researchers come from diverse backgrounds apply their expertise fields such as engineering, neuroscience, psychology. Aim The fNIRS Glossary Project was established to develop a community-sourced glossary covering key...

10.31219/osf.io/7xn3b preprint EN 2024-11-20

Introduction In acute ischemic stroke, progressive impairment of cerebral autoregulation (CA) is frequent and associated with unfavorable outcomes. Easy assessment blood flow CA in stroke units bedside tools like near-infrared spectroscopy (NIRS) might improve early detection deterioration. This study aimed to assess dynamic multichannel CW-NIRS (AIS) patients compared agematched healthy controls. Methods reaction was amplified by changes head bed position. Long- short channels were used...

10.3389/fneur.2022.1028864 article EN cc-by Frontiers in Neurology 2022-11-21

Major Depressive Disorder (MDD) has a significant impact on the daily lives of those affected. This concept paper presents project that aims at addressing MDD challenges through innovative therapy systems. The consists two use cases: multimodal neurofeedback (NFB) and an AI-based virtual assistant (VTA). NFB integrates EEG fNIRS to comprehensively assess brain function. goal is develop open-source toolbox for EEG-fNIRS integration, augmented by VTA optimized efficacy. will be able collect...

10.3233/shti230731 article EN cc-by-nc Studies in health technology and informatics 2023-10-20

The optical brain imaging method functional near-infrared spectroscopy (fNIRS) is a promising tool for real-time applications such as neurofeedback and brain-computer interfaces. Its combination of spatial specificity mobility makes it particularly attractive clinical use, both at the bedside in patients’ homes. Despite these advantages, optimizing fNIRS use requires careful attention to two key aspects: ensuring good maintaining high signal quality. While detects superficial cortical...

10.31219/osf.io/9bgku preprint EN 2023-09-14

Abstract Significance Functional near-infrared spectroscopy (fNIRS) is a promising tool for neurofeedback (NFB) or brain–computer interfaces (BCIs). However, fNIRS signals are typically highly contaminated by systemic activity (SA) artifacts, and, if not properly corrected, NFB BCIs run the risk of being based on noise instead brain activity. This can likely be reduced correcting SA, in particular when short-distance channels (SDCs) available. Literature comparing correction methods with and...

10.1101/2022.03.31.486522 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2022-04-01

<title>Abstract</title> In occupational medicine, monitoring individual stress-related physiological responses is an effective tool for minimizing health risks at the workplace. From audiology perspective, this particularly concerns effects of auditory stress, which leads to increased listening effort with subsequent hearing fatigue. A study was conducted investigate whether cardio-respiratory can detect a multi-level combination physical and stressors. To their measurability determine...

10.21203/rs.3.rs-5588014/v1 preprint EN cc-by Research Square (Research Square) 2024-12-20

Parkinson's disease (PD) is commonly treated with pharmacological or physical therapies, which are often associated side effects. Combining motor imagery (MI) neurofeedback (NFB) offers a potential complementary non-pharmacological therapy. The aim of this study was to develop and evaluate functional near-infrared spectroscopy (fNIRS)-guided NFB protocol that integrates MI whole-body movements changes in deoxygenated hemoglobin concentration (d[HbR]) alleviate symptoms PD.Three groups (N =...

10.31234/osf.io/rnqc4 preprint EN 2024-12-09
Meryem A. Yücel Robert Luke Rickson C. Mesquita Alexander von Lühmann David Marc Anton Mehler and 95 more Michael Lührs Jessica Gemignani Androu Abdalmalak Franziska Albrecht Iara Almeida Christina Artemenko Kira Ashton Paweł Augustynowicz Aahana Bajracharya Élise Bannier Beatrix Barth Laurie Bayet Jacqueline Behrendt Hadi Borj Khani Lenaic Borot Jordan A. Borrell Sabrina Brigadoi Kolby Brink Chiara Bulgarelli Emmanuel Caruyer Hsin‐Chin Chen Chris Copeland Isabelle Corouge Simone Cutini Renata Di Lorenzo Thomas Dresler Adam T. Eggebrecht Ann-Christine Ehl Sinem Erdoğan Daniëlle Evenblij Talukdar Raian Ferdous Victoria Fracalossi Erika Franzén Anne Gallagher Christian Gerloff Judit Gervain Noy Goldhamer Louisa K. Gossé Ségolène M. R. Guérin Edgar Guevara S. M. Hadi Hosseini Hamish Innes-Brown Isabell Int-Veen Sagi Jaffe‐Dax Nolwenn Jégou Hiroshi Kawaguchi Caroline M. Kelsey M. Kent Roman Kessler Nadeen Kherbawy Franziska Klein Nofar Kochavi Matthew Kolisnyk Yogev Koren Agnes Kroczek Alexander Kvist Chen Lin Andreas Löw Siying Luan Darren Mao Gabriel G. Martins Eike Middell Samuel Montero‐Hernández Murat Can Mutlu Sergio L. Novi Natacha Paquette Ishara Paranawithana Yisrael Parmet Jonathan E. Peelle Ke Peng Tommy Peng João Pereira Paola Pinti Luca Pollonini Ali Rahimpour Jounghani Vanessa Reindl Jana Zweerings Betti Schopp Alina Schulte Martin Schulte‐Rüther Ari Segel Tirdad Seifi-Ala Maureen J. Shader Hadas Shavit Arefeh Sherafati Mojtaba Soltanlou Bettina Sorger Emma Speh Kevin Stubbs Katharina Stute Eileen Sullivan Sungho Tak Zeus Tipado Julie Tremblay Homa Vahidi

In neuroimaging research, efforts to enhance replication and reproducibility have increased the focus on improving transparency, particularly in complex data analysis processes. We conducted a multi-lab collaborative study involving 38 international teams that analyzed two functional Near-Infrared Spectroscopy (fNIRS) datasets. These tested seven group-level forty individual-level hypotheses, they submitted detailed reports their pipelines testing outcomes. The results showed significant...

10.31222/osf.io/pc6x8_v1 preprint EN 2024-09-24

The temporal properties of visual selective attention change with age as reflected in a longer and deeper impairment identifying the second two targets rapid stream distracters. In younger adults, identification rates for both can be improved by simultaneous, task irrelevant sound. Research response time tasks has shown that older participants benefit more from bimodal stimulation than subjects. Here we examine whether this facilitation also found setting which relevant items need to...

10.31296/aop.v2i3.43 article EN Archives of Psychology 2018-01-01
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