Article
Biochemical Research Methods
Lin Gao, Yuhui Wei, Yifei Wang, Gang Wang, Quan Zhang, Jianbao Zhang, Xiang Chen, Xiangguo Yan
Summary: This study introduces a hybrid artifact detection and correction approach for fNIRS signals, improving the viability of fNIRS as a functional neuroimaging modality by detecting and correcting artifacts such as baseline shift, slight oscillation, and severe oscillation.
JOURNAL OF BIOMEDICAL OPTICS
(2022)
Article
Neurosciences
Yuanyuan Gao, Hanqing Chao, Lora Cavuoto, Pingkun Yan, Uwe Kruger, Jack E. Norfleet, Basiel A. Makled, Steven Schwaitzberg, Suvranu De, Xavier Intes
Summary: This study presents a motion artifact removal method for fNIRS data using a deep learning approach. The developed deep learning model, with a specific loss function and generated training data, outperforms conventional methods in removing motion artifacts.
Article
Chemistry, Analytical
Hayder R. Al-Omairi, Sebastian Fudickar, Andreas Hein, Jochem W. Rieger
Summary: Functional near-infrared spectroscopy (fNIRS) is a non-invasive neuroimaging technique that allows participants to move freely. An improved algorithmic approach combining wavelet and correlation-based signal improvement (WCBSI) was proposed for motion artifact (MA) correction. The WCBSI algorithm consistently outperformed other correction approaches, demonstrating its potential as the best algorithm for MA correction.
Article
Neurosciences
Mingxi Yang, Meiyun Xia, Shen Zhang, Di Wu, Deyu Li, Xinlin Hou, Daifa Wang
Summary: A correction algorithm has been developed to effectively remove different types of artifacts in neonatal data, improving the evaluation of neonatal brain function using fNIRS. The method showed good recovery effects in simulated and actual neonatal data.
Article
Neurosciences
Morris Vanegas, Miguel Mireles, Qianqian Fang
Summary: This study aims to create a systematic software platform for the design, characterization, and comparison of modular fNIRS probes. It provides examples of how parameters such as module shape, orientation, and spatial layout can affect probe performance, offering a new approach for the fNIRS user community to address the challenging problem of module and probe parameter selection and fine-tuning.
Article
Neurosciences
Pradyumna Lanka, Heather Bortfeld, Theodore J. Huppert
Summary: In resting-state fNIRS data, a processing pipeline incorporating pre-whitening, robust statistical methods, and partial correlation can effectively reduce autocorrelation, motion artifacts, and global physiology, obtaining statistically valid connectivity metrics.
Article
Medicine, Research & Experimental
Yanhong Hou, Lin Zhang, Xiaofei Chen, Yujing Wang, Tong Jiang, Qinjiazi Qi, Chuanxiao Zhang, Chao Shi
Summary: The objective of this study is to explore the changes in brain function in patients with functional gastroduodenal diseases, revealing possible central etiology and development process. Near-infrared brain imaging and heart rate variability trend chart were used to detect and analyze functional changes in the prefrontal lobe and autonomic nervous system of patients. The results showed that the activity of left prefrontal lobe areas was significantly lower in patients, and there was no significant difference in autonomic nervous system between patients and normal controls.
BIOMEDICINE & PHARMACOTHERAPY
(2023)
Article
Neurosciences
Franziska Klein, Michael Luehrs, Amaia Benitez-Andonegui, Pauline Roehn, Cornelia Kranczioch
Summary: This study aims to compare the performance of systemic activity (SA) correction methods with and without short-distance channels (SDCs) in improving functional near-infrared spectroscopy (fNIRS) signal quality. The results show that all correction methods improve signal quality and spatial specificity compared to uncorrected data, with methods using SDCs generally outperforming those without SDCs. However, differences in correction methods and outcomes were observed between semisimulated and real data, as well as between quality measures.
Article
Neurosciences
J. Adam Noah, Xian Zhang, Swethasri Dravida, Courtney DiCocco, Tatsuya Suzuki, Richard N. Aslin, Ilias Tachtsidis, Joy Hirsch
Summary: This study compared short-channel temporal regression and spatial principal component filtering strategies for removing non-neural signals in fNIRS data, finding that both methods effectively eliminate non-neural components. Utilizing either technique is sufficient for removing these interfering signals.
Article
Neurosciences
Rihui Li, Hadi Hosseini, Manish Saggar, Stephanie Christina Balters, Allan L. Reiss
Summary: Functional near-infrared spectroscopy (fNIRS) is a noninvasive optical imaging technique used to assess human brain activity. It has been widely used in psychiatric research and clinical practice due to its mobility, low cost, and tolerance for motion. This article summarizes the applications of fNIRS in psychiatry, the development of fNIRS instruments, and new study designs to explore brain activity associated with psychiatric disorders. The challenges and future perspectives of fNIRS in psychiatric research and clinical practice are also discussed.
Article
Neurosciences
Alejandra Husser, Laura Caron-Desrochers, Julie Tremblay, Phetsamone Vannasing, Eduardo Martinez-Montes, Anne Gallagher
Summary: This study introduces and validates the use of PARAFAC, a multidimensional decomposition technique, for data analysis in fNIRS. Compared to traditional two-dimensional decomposition techniques, PARAFAC achieves better improvement in data quality and shows robust performance in correction of simulated signals. PARAFAC is a promising data-driven alternative for multidimensional data analyses in fNIRS.
Article
Public, Environmental & Occupational Health
Cheng Peng, Ziyi Wang
Summary: Most clinical stroke patients face difficulties in movement, affecting their self-care ability and quality of life, as well as disrupting the lives and work of family members. The near-infrared spectroscopy imaging technology (fNIRS) combines sports injury diagnosis with brain function mechanisms, offering fast and non-invasive detection of brain activity. fNIRS technology has proven valuable in the biomedical field, particularly in brain science, and can be used to detect hemodynamic changes during training, providing a basis for clinical application.
PREVENTIVE MEDICINE
(2023)
Article
Biochemical Research Methods
Daniel Anaya, Gautam Batra, Peter Bracewell, Ryan Catoen, Dev Chakraborty, Mark Chevillet, Pradeep Damodara, Alvin Dominguez, Laurence Emms, Zifan Jiang, Ealgoo Kim, Keith Klumb, Frances Lau, Rosemary Le, Jamie Li, Brett Mateo, Laura Matloff, Asha Mehta, Emily M. Mugler, Akansh Murthy, Sho Nakagome, Ryan Orendorff, E-Fann Saung, Roland Schwarz, Ruben Sethi, Rudy Sevile, Ajay Srivastava, John Sundberg, Ying Yang, Allen Yin
Summary: We introduce Spotlight, a fiberless, portable, and modular continuous wave-functional near-infrared spectroscopy system, designed to be a more portable, accessible, and powerful functional near-infrared spectroscopy (fNIRS) device for neuroscience and brain-computer interface (BCI) applications. The system consists of palm-sized modules, each containing high-density light-emitting diode and silicon photomultiplier detector arrays embedded in a flexible membrane for optode coupling to scalp curvature. The system showed promising results in offline and real-time decoding of motor cortical hemodynamic responses.
JOURNAL OF BIOMEDICAL OPTICS
(2023)
Article
Neurosciences
Giles Blaney, Cristianne Fernandez, Angelo Sassaroli, Sergio Fantini
Summary: This study focuses on the contamination of optical signals in non-invasive optical measurements of the human brain caused by superficial hemodynamics. The authors identified optimal source-detector distances for dual-slope measurements in frequency-domain near-infrared spectroscopy (NIRS) and demonstrated the preferential sensitivity of dual-slope imaging to deeper tissue (brain) compared to superficial tissue (scalp). The results showed that the mean distance between the two source-detector distances is the key factor for depth sensitivity. Dual-slope imaging with frequency-domain NIRS may suppress confounding contributions from superficial hemodynamics and has significant implications for non-invasive optical measurements of the human brain.
Article
Biochemistry & Molecular Biology
Chien-Chou Lin, Li-Hsuan Chiu, Walter H. H. Chang, Cheng-An J. Lin, Ruei-Ming Chen, Yuan-Soon Ho, Chun S. S. Zuo, Austin Changou, Yue-Fa Cheng, Wen-Fu T. Lai
Summary: Computed tomography and conventional X-ray radiography often create micro-artifacts around metal implants, leading to false diagnoses of bone maturation or pathological peri-implantitis. A novel NIRF molecular imaging system was developed to repair these artifacts and monitor bone maturation. The system accurately identified image loss caused by metal artifacts and can be used to evaluate new types of implant fixtures or surface treatments.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Psychology, Developmental
Maria M. Arredondo, Richard N. Aslin, Janet F. Werker
Summary: A bilingual environment can impact the structure and function of the brain, enhancing higher-cognitive functions in infants. Brain activity measurements in 6- and 10-month-old infants showed different patterns between bilingual and monolingual infants during tasks, indicating how early bilingual experiences can alter the cortical organization underlying cognitive functions.
DEVELOPMENTAL SCIENCE
(2022)
Article
Ethnic Studies
Maria M. Arredondo
Summary: This article explores the use of fNIRS neuroimaging in studying the impact of sociocultural contexts on cognition and brain processes. By conducting research in community and everyday-life settings, fNIRS can contribute to the development of theoretical frameworks and provide neurobiological evidence of sociocultural factors in human development.
CULTURAL DIVERSITY & ETHNIC MINORITY PSYCHOLOGY
(2023)
Article
Education, Special
Rebecca A. Marks, Rachel L. Eggleston, Xin Sun, Chi-Lin Yu, Kehui Zhang, Nia Nickerson, Xiao-Su Hu, Ioulia Kovelman
Summary: This study investigates the relationship between children's neural organization for morphological awareness and successful reading comprehension, revealing that morphological awareness plays a key role in reading comprehension. Children with stronger reading comprehension showed greater engagement of brain regions associated with integrating sound and meaning, especially in conditions involving more analytically demanding and semantically abstract morphology units.
ANNALS OF DYSLEXIA
(2022)
Article
Psychology, Educational
Xin Sun, Kehui Zhang, Rebecca A. Marks, Nia Nickerson, Rachel L. Eggleston, Chi-Lin Yu, Tai-Li Chou, Twila Tardif, Ioulia Kovelman
Summary: This study examines the cross-linguistic transfer of literacy skills in children with different language backgrounds and the impact of heritage language proficiency on English word reading. The results show that bilingual children rely on different skills in word reading depending on their language background. This has important implications for optimizing literacy in linguistically diverse children.
Article
Psychology, Developmental
Xin Sun, Rebecca A. Marks, Kehui Zhang, Chi-Lin Yu, Rachel L. Eggleston, Nia Nickerson, Tai-Li Chou, Xiao-Su Hu, Twila Tardif, Teresa Satterfield, Ioulia Kovelman
Summary: This study investigated the effects of early bilingual experiences on children's neural architecture for word processing. The findings revealed both language-specific effects and shared bilingual effects. The language-specific effects were observed in Chinese and Spanish bilinguals, who showed differences in their neural organization for English lexical morphology. The shared bilingual effects were observed in both groups, where increased home language proficiency was associated with stronger activation in the left superior temporal gyrus when processing English word structures dissimilar to the home language.
DEVELOPMENTAL SCIENCE
(2023)
Article
Audiology & Speech-Language Pathology
Maria M. Arredondo, Ioulia Kovelman, Teresa Satterfield, Xiaosu Hu, Lara Stojanov, Adriene M. Beltz
Summary: Bilingualism has an impact on children's cognition, with significant variations in dual-language experiences among bilingual individuals. This study used standard analysis and innovative connectivity models to explore the sources of variation in brain function between bilingual and monolingual individuals. The findings revealed two distinct subgroups within the bilingual group, highlighting the influence of language dominance and balanced dual-language abilities on cortical networks and executive function in children.
BRAIN AND LANGUAGE
(2022)
Article
Psychology, Educational
Neelima Wagley, Rebecca A. Marks, Lisa M. Bedore, Ioulia Kovelman
Summary: This study examines the influence of language environment on language and reading skills and the cross-linguistic contributions to reading outcomes. The findings highlight the interdependence of Spanish and English as they relate to bilingual reading acquisition.
Article
Multidisciplinary Sciences
Xin Sun, Kehui Zhang, Rebecca Marks, Zachary Karas, Rachel Eggleston, Nia Nickerson, Chi-Lin Yu, Neelima Wagley, Xiaosu Hu, Valeria Caruso, Tai-Li Chou, Teresa Satterfield, Twila Tardif, Ioulia Kovelman
Summary: This dataset includes neuroimaging and behavioral data from 343 children aged 5-11 with different linguistic backgrounds, providing a valuable resource for investigating the neural basis of literacy development in bilingual children.
Article
Education & Educational Research
Rebecca A. Marks, Xin Sun, Eva McAlister Lopez, Nia Nickerson, Isabel Hernandez, Valeria C. Caruso, Teresa Satterfield, Ioulia Kovelman
Summary: This study aimed to explore the relations between morphological awareness and literacy skills in Spanish and English. The findings show that in English, morphological awareness is directly related to word reading and reading comprehension, while in Spanish, the association with reading comprehension is mediated by vocabulary and single word reading. Additionally, there are cross-linguistic associations between English word reading and Spanish reading comprehension, and between Spanish reading comprehension and English reading comprehension. These findings provide important insights for bilingual literacy theory.
INTERNATIONAL JOURNAL OF BILINGUAL EDUCATION AND BILINGUALISM
(2022)
Article
Chemistry, Multidisciplinary
Mohammed N. Islam, Tianqu Zhai, Alexander Dobre, Cynthia N. Meah, Ioulia Kovelman, Steven Broglio, Daniel A. Beard, Xiaosu Hu, Jacob R. Joseph, Yamaan S. Saadeh, Rachel Russo, Hasan B. Alam
Summary: We propose a novel, noninvasive super-continuum infrared spectroscopy system that can simultaneously measure hemodynamic and metabolic parameters. Through laboratory tests, human studies, and animal studies, we demonstrate the utility of this system. It can measure the redox state of cytochrome c oxidase, as well as traditional markers such as oxygenated and deoxygenated hemoglobin.
APPLIED SCIENCES-BASEL
(2022)
Article
Linguistics
Rebecca A. Marks, Danielle Labotka, Xin Sun, Nia Nickerson, Kehui Zhang, Rachel L. Eggleston, Chi-Lin Yu, Yuuko Uchikoshi, Fumiko Hoeft, Ioulia Kovelman
Summary: This study investigates the influence of bilingual experiences on children's word reading processes. The results show that derivational and compound structure words have unique contributions to early word reading in children. Furthermore, bilingual learners with different language backgrounds exhibit significant differences in English word reading proficiency.
BILINGUALISM-LANGUAGE AND COGNITION
(2022)
Article
Neurosciences
Kehui Zhang, Xin Sun, Chi-Lin Yu, Rachel L. Eggleston, Rebecca A. Marks, Nia Nickerson, Valeria C. Caruso, Xiao-Su Hu, Twila Tardif, Tai-Li Chou, James R. Booth, Ioulia Kovelman
Summary: During literacy development, children learn to recognize word sounds and meanings in print, but this process is different for alphabetic and character-based orthographies. A study involving bilingual and monolingual children showed that the task that was more central to reading in a specific orthography elicited less brain activation. Bilingual children showed less activation during phonology but more activation during morphology compared to monolinguals. These findings suggest that both the structural characteristics and literacy experiences with a given language can influence children's emerging brain networks for learning to read.
HUMAN BRAIN MAPPING
(2023)
Article
Linguistics
Xin Sun, Rebecca A. Marks, Rachel L. Eggleston, Kehui Zhang, Chi-Lin Yu, Nia Nickerson, Valeria Caruso, Tai-Li Chou, Xiao-Su Hu, Twila Tardif, James R. Booth, Adriene M. Beltz, Ioulia Kovelman
Summary: Diversity and variation in language experiences, such as bilingualism, contribute to heterogeneity in children's neural organization for language and brain development. The present study examined the effects of bilingual proficiency on children's neural organization for language function, and found that bilinguals' heritage language proficiency made a unique contribution to children's language network density. The study also revealed common and unique patterns in children's patterns of task-related functional connectivity.
NEUROBIOLOGY OF LANGUAGE
(2023)