Article
Engineering, Biomedical
Dmitry Patashov, Yakir Menahem, Guy Gurevitch, Yoshinari Kameda, Dmitry Goldstein, Michal Balberg
Summary: This paper presents algorithms for preprocessing of functional Near Infrared Spectroscopy (fNIRS) data. The statistical method is proposed for automatic identification of noisy channels and a non-stationary filtering procedure for both detrending and removal of high frequency contamination sources. The results demonstrate that the CCFA based filtering method can achieve a greater improvement in Signal to Noise Ratio (SNR) compared to commonly used methods.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Article
Neurosciences
Yuki Tsuji, So Kanazawa, Masami K. Yamaguchi
Summary: This study used fNIRS to investigate whether the hemodynamic responses in the temporal region of 8-month-old infants were modulated by repeated presentation of Peekaboo. The findings showed that the hemodynamic modulation of the right occipitotemporal region was induced according to the repeated presentation of Peekaboo, especially in the long delay condition.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Article
Neurosciences
D. Rangaprakash, Robert L. Barry, Gopikrishna Deshpande
Summary: Functional magnetic resonance imaging (fMRI) is a method to indirectly measure neural activity, but its accuracy is affected by the variability of the hemodynamic response function (HRF). This article argues that ignoring HRF variability confounds connectivity estimates within subjects and group differences between subjects. The clinical relevance of HRF aberrations in various disorders is also discussed. Limited data on HRF differences between men and women are presented, showing a median error of 15.4% in functional connectivity estimates at the group level. The implications of HRF variability for spinal cord fMRI studies are also discussed. More dialogue within the scientific community on the HRF confound is needed, and it is hoped that this article will serve as a catalyst for this discussion.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Biochemical Research Methods
Audrey Laurence, Denahin H. Toffa, Ke Peng, Manon Robert, Alain Bouthillier, Dang K. Nguyen, Frederic Leblond
Summary: This study evaluated the possibility of using an intraoperative multispectral imaging system combined with electrocorticography (ECoG) to measure the average hemodynamic response function (HRF) associated with interictal epileptiform discharges (IEDs) in patients with epilepsy. The study found inter-patient variability of the HRF and identified a sub-region that corresponded to the most active area identified by ECoG.
BIOMEDICAL OPTICS EXPRESS
(2022)
Article
Clinical Neurology
Jianli Yang, Jiaqi Fan, Aobo Cheng, Wuji Zhao, Danting Wu, Wei Cui, Yunshu Zhang, Xiuling Liu
Summary: Appropriate task selection is crucial for fNIRS-based MDD diagnosis and treatment. This study investigated the hemodynamic characteristics of MDD under four different tasks and found that oxy-Hb was more significant in differentiating MDD subjects from healthy controls. The combinational task showed better discrimination than single tasks.
JOURNAL OF AFFECTIVE DISORDERS
(2022)
Article
Anatomy & Morphology
Vanesa Munoz, Manuel Munoz-Caracuel, Brenda Y. Angulo-Ruiz, Carlos M. Gomez
Summary: This study explores the relationship between intensity-dependent amplitude changes (IDAP) and neurovascular coupling using functional near-infrared spectroscopy (fNIRS). The results show correlations between auditory intensity and ERP components N1, P2, and N1-P2 peak-to-peak amplitude, as well as oxyhemoglobin and deoxyhemoglobin concentrations. These findings support the potential of fNIRS as a complementary technique to ERPs, enhancing our understanding of its application in auditory paradigms.
BRAIN STRUCTURE & FUNCTION
(2023)
Article
Biotechnology & Applied Microbiology
Muhammad Umair Ali, Amad Zafar, Karam Dad Kallu, M. Atif Yaqub, Haris Masood, Keum-Shik Hong, Muhammad Raheel Bhutta
Summary: This study investigates the classification of finger-tapping task images based on the initial dip duration of hemodynamics using fNIRS. Different layers of CNN models are tested, and the 22-layered model achieves the highest accuracy of 89.2%. The study reveals that functional t-maps of the initial dip can accurately differentiate and classify the active brain areas of different tapping tasks in the same small brain area.
BIOENGINEERING-BASEL
(2023)
Article
Engineering, Biomedical
Zenghui Wang, Jihong Fang, Jun Zhang
Summary: fNIRSNet is a concise and efficient model for functional near-infrared spectroscopy (fNIRS) classification, which improves the performance of brain-computer interfaces (BCIs) by incorporating domain knowledge of delayed hemodynamic responses. It outperforms other deep neural networks (DNNs) on open-access datasets and has a lower hardware cost.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Geriatrics & Gerontology
Daniel Boari Coelho, Paulo Rodrigo Bazan, Guilherme Augusto Zimeo Morais, Joana Bisol Balardin, Alana Xavier Batista, Claudia Eunice Neves de Oliveira, Emanuele Los Angeles, Claudionor Bernardo, Joao Ricardo Sato, Andrea C. de Lima-Pardini
Summary: Aging impairs inhibitory control and hemodynamic responses in areas controlling gait initiation under cognitive conflict, leading to worse APA performance in the older group compared to the young group.
JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES
(2021)
Article
Neurosciences
Chenguang Zhao, Dongwei Li, Jialiang Guo, Bingkun Li, Yuanjun Kong, Yiqing Hu, Boqi Du, Yulong Ding, Xiaoli Li, Hanli Liu, Yan Song
Summary: Selective attention involves target enhancement and distractor inhibition processes in the brain. By analyzing EEG and fNIRS data, researchers found neurovascular modulation between alpha power and hemodynamic activity during target and distractor anticipation, highlighting the essential role of flexible neurovascular couplings in determining behavioral outcomes.
Article
Engineering, Biomedical
Alessandra Galli, Sabrina Brigadoi, Giada Giorgi, Giovanni Sparacino, Claudio Narduzzi
Summary: In this study, a dictionary-based algorithm is proposed to address the issue of hemodynamic response estimation in fNIRS signals with task-evoked extra-cerebral components. Analysis of simulated, semi-simulated, and real data demonstrates that the proposed method outperforms other existing methods in terms of accuracy and reliability. This work highlights the effectiveness of using dedicated dictionaries to model different components of fNIRS signals and the potential for improved HR analysis in fNIRS-based studies.
JOURNAL OF NEURAL ENGINEERING
(2021)
Article
Psychiatry
Shannon Powers, Xu Han, Jacqueline Martinez, Alexander John Dufford, Torri D. Metz, Tom Yeh, Pilyoung Kim
Summary: Our study investigated the effects of cannabis use during pregnancy on brain activation in response to infant cues. The results showed preliminary evidence of altered brain activation in regions involved in emotional regulation and information processes among individuals who use cannabis. However, these findings did not survive after adjustment for multiple comparisons, suggesting the need for future research with larger sample sizes to confirm potential differences in brain function among cannabis-using pregnant individuals.
FRONTIERS IN PSYCHIATRY
(2023)
Article
Clinical Neurology
Lingyu Xu, Zhiyong Sun, Jiang Xie, Jie Yu, Jun Li, JinHong Wang
Summary: This study utilized a multi-layer neural network to classify children with ASD and TD, showing promising potential for high accuracy classification in the left temporal lobe, emphasizing the attention mechanism. These findings have important implications for the rapid diagnosis of children with ASD and future medical diagnosis.
CLINICAL NEUROPHYSIOLOGY
(2021)
Article
Neurosciences
Da Zhang, Qianyi Fu, Chen Xue, Chaoyong Xiao, Yu Sun, Weiguo Liu, Xiao Hu
Summary: This study investigates the differences in hemodynamic response function (HRF) between patients with idiopathic Parkinson's Disease (PD) and healthy controls, and explores the relationship between HRF and dopamine receptor type 2 (DRD2) gene expression. The findings suggest that neglecting HRF variability may lead to false-positive and false-negative functional connectivity (FC) group differences. Deconvolution could reduce the impact of HRF variation on FC group differences.
Article
Computer Science, Information Systems
Arshia Arif, M. Jawad Khan, Kashif Javed, Hasan Sajid, Saddaf Rubab, Noman Naseer, Talha Irfan Khan
Summary: This study presents a novel method for more accurate detection of the hemodynamic response using a multimodal brain-computer interface (BCI). An integrated classifier is developed to achieve better classification accuracy by combining EEG and fNIRS signals. The results show that the combined EEG-fNIRS VPA method yields significantly higher classification accuracy compared to other classifiers, demonstrating the feasibility of improving classification performance using multimodal VPA for EEG-fNIRS hybrid data.
CMC-COMPUTERS MATERIALS & CONTINUA
(2022)
Article
Computer Science, Interdisciplinary Applications
Andreas Meinel, Sebastian Castano-Candamil, Benjamin Blankertz, Fabien Lotte, Michael Tangermann
Review
Clinical Neurology
Wolf-Julian Neumann, Robert S. Turner, Benjamin Blankertz, Tom Mitchell, Andrea A. Kuehn, R. Mark Richardson
Article
Multidisciplinary Sciences
Claudia Sannelli, Carmen Vidaurre, Klaus-Robert Mueller, Benjamin Blankertz
Article
Computer Science, Information Systems
Giulio Jacucci, Oswald Barral, Pedram Daee, Markus Wenzel, Baris Serim, Tuukka Ruotsalo, Patrik Pluchino, Jonathan Freeman, Luciano Gamberini, Samuel Kaski, Benjamin Blankertz
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY
(2019)
Article
Neurosciences
Stephanie Brandl, Benjamin Blankertz
FRONTIERS IN NEUROSCIENCE
(2020)
Article
Psychology, Developmental
Jessica Gemignani, Judit Gervain
Summary: Functional Near Infrared Spectroscopy (fNIRS) is an important neuroimaging technique in cognitive developmental neuroscience, but there is no general consensus on best pre-processing practices. Research found that by comparing five carefully selected pipelines, the system's robustness against noise can be improved, but issues like reduced HRF amplitude may arise during the processing.
DEVELOPMENTAL COGNITIVE NEUROSCIENCE
(2021)
Article
Medicine, General & Internal
Lucy Stibbs-Eaton, Catherine Hodgson, Adekeye Kolade, Jennifer Crowell, Jessica Gemignani, Holly Hope, Matthias Pierce, Alya Elmadih, Chen Zhao, Darragh Downey, Rebecca Elliott, Kathryn M. Abel
Summary: This study aims to improve the lives of children and adolescents with parental mental illness by comparing their development in vocal processing with infants in the general population. The recruitment, retention, and dropout data will be recorded, and the safety of the study and the confidentiality of individual data will be assured.
Article
Neurosciences
Jessica Gemignani, Irene de la Cruz-Pavia, Anna Martinez, Caroline Nallet, Alessia Pasquini, Gaia Lucarini, Francesca Cavicchiolo, Judit Gervain
Summary: Concerns about reproducibility of experimental findings have emerged in various disciplines. This study aimed to test the replicability of effects observed in NIRS experiments assessing infants' rule-learning ability. The results showed that the effects were replicable and comparable across different studies and labs. Furthermore, the effects varied depending on the participants' age and the type of regularities tested.
Article
Psychology, Experimental
Razieh Alemi, Jace Wolfe, Sara Neumann, Jacy Manning, Lindsay Hanna, Will Towler, Caleb Wilson, Alexander Bien, Sharon Miller, Erin Schafer, Jessica Gemignani, Nabin Koirala, Vincent L. Gracco, Mickael Deroche
Summary: This study aimed to investigate the cortical responses of children with cochlear implants (CI) to a motor task and examine whether these responses were different from those of children with typical hearing (TH), as well as their relationship to language development. The results showed that all children exhibited similar motor cortex activity during the task. However, it was found that the visual cortex was deactivated, particularly in children with CI who had good language skills compared to those with CI who had language delays.
PERCEPTUAL AND MOTOR SKILLS
(2023)
Proceedings Paper
Engineering, Biomedical
Jessica Gemignani
Summary: This study implemented a within-subject classification method using Linear Discriminant Analysis (LDA) and Support Vector Machines (SVM) for hemodynamic response classification. The impact of different levels of noise and IMF amplitudes on the classification performances of the two classifiers were quantitatively investigated using a synthetic dataset resembling real experimental infant fNIRS data.
2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC)
(2021)
Proceedings Paper
Engineering, Biomedical
Jessica Gemignani, Judit Gervain
Summary: The study describes the workflow of generating synthetic data and provides tools for researchers to objectively validate and compare data analysis procedures using a large and diversified ground-truth fNIRS dataset.
2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC)
(2021)
Article
Computer Science, Artificial Intelligence
Annalisa Riccardi, Jessica Gemignani, Francisco Fernandez-Navarro, Anna Heffernan
Summary: The study quantifies the impact of government actions on mitigating the transmission of SARS-CoV-2 in Italy and Taiwan, finding that earlier and more widespread testing, along with tighter restrictions, can significantly reduce the number of confirmed cases. The differing strategies adopted by the Italian and Taiwanese governments have led to different outcomes in managing the pandemic.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE
(2021)
Proceedings Paper
Engineering, Electrical & Electronic
Jaeyoung Shin, Alexander von Luehmann, Benjamin Blankertz, Do-Won Kim, Jan Mehnert, Jichai Jeong, Han-Jeong Hwang, Klaus-Robert Mueller
2018 6TH INTERNATIONAL CONFERENCE ON BRAIN-COMPUTER INTERFACE (BCI)
(2018)
Article
Engineering, Electrical & Electronic
Irina-Emilia Nicolae, Laura Acqualagna, Georgeta-Mihaela Neagu (Ungureanu), Rodica Strungaru, Benjamin Blankertz
UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN SERIES C-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE
(2018)