1
|
杨 骞, 刘 云. [Research progress on brain functional near-infrared spectroscopy technology in the field of neonates]. ZHONGGUO DANG DAI ER KE ZA ZHI = CHINESE JOURNAL OF CONTEMPORARY PEDIATRICS 2024; 26:86-91. [PMID: 38269465 PMCID: PMC10817743 DOI: 10.7499/j.issn.1008-8830.2309002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 12/24/2023] [Indexed: 01/26/2024]
Abstract
Functional near infrared spectroscopy (fNIRS) is an emerging neuroimaging tool that reflects the activity and function of brain neurons by monitoring changes in brain oxygen metabolism based on the neurovascular coupling mechanism. It is non-invasive and convenient, especially suitable for monitoring neonatal brain function. This article provides a comprehensive review of research related to the developmental patterns of brain networks concerning language, music, and emotions in neonates using fNIRS. It also covers brain network imaging in neonatal care, resting-state brain network connectivity patterns, and characteristics of brain functional imaging in disease states of neonates using fNIRS.
Collapse
|
2
|
Ali MU, Zafar A, Kallu KD, Yaqub MA, Masood H, Hong KS, Bhutta MR. An Isolated CNN Architecture for Classification of Finger-Tapping Tasks Using Initial Dip Images: A Functional Near-Infrared Spectroscopy Study. Bioengineering (Basel) 2023; 10:810. [PMID: 37508837 PMCID: PMC10376657 DOI: 10.3390/bioengineering10070810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 06/30/2023] [Accepted: 06/30/2023] [Indexed: 07/30/2023] Open
Abstract
This work investigates the classification of finger-tapping task images constructed for the initial dip duration of hemodynamics (HR) associated with the small brain area of the left motor cortex using functional near-infrared spectroscopy (fNIRS). Different layers (i.e., 16-layers, 19-layers, 22-layers, and 25-layers) of isolated convolutional neural network (CNN) designed from scratch are tested to classify the right-hand thumb and little finger-tapping tasks. Functional t-maps of finger-tapping tasks (thumb, little) were constructed for various durations (0.5 to 4 s with a uniform interval of 0.5 s) for the initial dip duration using a three gamma functions-based designed HR function. The results show that the 22-layered isolated CNN model yielded the highest classification accuracy of 89.2% with less complexity in classifying the functional t-maps of thumb and little fingers associated with the same small brain area using the initial dip. The results further demonstrated that the active brain area of the two tapping tasks from the same small brain area are highly different and well classified using functional t-maps of the initial dip (0.5 to 4 s) compared to functional t-maps generated for delayed HR (14 s). This study shows that the images constructed for initial dip duration can be helpful in the future for fNIRS-based diagnosis or cortical analysis of abnormal cerebral oxygen exchange in patients.
Collapse
Affiliation(s)
- Muhammad Umair Ali
- Department of Intelligent Mechatronics Engineering, Sejong University, Seoul 05006, Republic of Korea
| | - Amad Zafar
- Department of Intelligent Mechatronics Engineering, Sejong University, Seoul 05006, Republic of Korea
| | - Karam Dad Kallu
- Department of Robotics and Intelligent Machine Engineering (RIME), School of Mechanical and Manufacturing Engineering (SMME), National University of Sciences and Technology (NUST), H-12, Islamabad 44000, Pakistan
| | - M Atif Yaqub
- ICFO-Institut de Ciències Fotòniques the Barcelona Institute of Science and Technology, 08860 Castelldefels, Spain
| | - Haris Masood
- Electrical Engineering Department, Wah Engineering College, University of Wah, Wah Cantt 47040, Pakistan
| | - Keum-Shik Hong
- School of Mechanical Engineering, Pusan National University, 2 Busandaehak-ro, Geumjeong-gu, Busan 46241, Republic of Korea
- Institute for Future, School of Automation, Qingdao University, Qingdao 266071, China
| | - Muhammad Raheel Bhutta
- Department of Electrical and Computer Engineering, University of UTAH Asia Campus, Incheon 21985, Republic of Korea
| |
Collapse
|
3
|
Scholkmann F, Vollenweider FX. Psychedelics and fNIRS neuroimaging: exploring new opportunities. NEUROPHOTONICS 2023; 10:013506. [PMID: 36474478 PMCID: PMC9717437 DOI: 10.1117/1.nph.10.1.013506] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 11/14/2022] [Indexed: 06/17/2023]
Abstract
In this Outlook paper, we explain to the optical neuroimaging community as well as the psychedelic research community the great potential of using optical neuroimaging with functional near-infrared spectroscopy (fNIRS) to further explore the changes in brain activity induced by psychedelics. We explain why we believe now is the time to exploit the momentum of the current resurgence of research on the effects of psychedelics and the momentum of the increasing progress and popularity of the fNIRS technique to establish fNIRS in psychedelic research. With this article, we hope to contribute to this development.
Collapse
Affiliation(s)
- Felix Scholkmann
- University Hospital Zurich, University of Zurich, Biomedical Optics Research Laboratory, Department of Neonatology, Zurich, Switzerland
- University of Bern, Institute of Complementary and Integrative Medicine, Bern, Switzerland
| | - Franz X. Vollenweider
- University Hospital of Psychiatry, University of Zurich, Neuropsychopharmacology and Brain Imaging, Department of Psychiatry, Psychotherapy and Psychosomatics, Zurich, Switzerland
| |
Collapse
|
4
|
Aksenov DP, Gascoigne DA, Duan J, Drobyshevsky A. Function and development of interneurons involved in brain tissue oxygen regulation. Front Mol Neurosci 2022; 15:1069496. [PMID: 36504684 PMCID: PMC9729339 DOI: 10.3389/fnmol.2022.1069496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 11/09/2022] [Indexed: 11/25/2022] Open
Abstract
The regulation of oxygen in brain tissue is one of the most important fundamental questions in neuroscience and medicine. The brain is a metabolically demanding organ, and its health directly depends on maintaining oxygen concentrations within a relatively narrow range that is both sufficiently high to prevent hypoxia, and low enough to restrict the overproduction of oxygen species. Neurovascular interactions, which are responsible for oxygen delivery, consist of neuronal and glial components. GABAergic interneurons play a particularly important role in neurovascular interactions. The involvement of interneurons extends beyond the perspective of inhibition, which prevents excessive neuronal activity and oxygen consumption, and includes direct modulation of the microvasculature depending upon their sub-type. Namely, nitric oxide synthase-expressing (NOS), vasoactive intestinal peptide-expressing (VIP), and somatostatin-expressing (SST) interneurons have shown modulatory effects on microvessels. VIP interneurons are known to elicit vasodilation, SST interneurons typically cause vasoconstriction, and NOS interneurons have to propensity to induce both effects. Given the importance and heterogeneity of interneurons in regulating local brain tissue oxygen concentrations, we review their differing functions and developmental trajectories. Importantly, VIP and SST interneurons display key developmental milestones in adolescence, while NOS interneurons mature much earlier. The implications of these findings point to different periods of critical development of the interneuron-mediated oxygen regulatory systems. Such that interference with normal maturation processes early in development may effect NOS interneuron neurovascular interactions to a greater degree, while insults later in development may be more targeted toward VIP- and SST-mediated mechanisms of oxygen regulation.
Collapse
Affiliation(s)
- Daniil P. Aksenov
- Department of Radiology, NorthShore University HealthSystem, Evanston, IL, United States,Department of Anesthesiology, NorthShore University HealthSystem, Evanston, IL, United States,Pritzker School of Medicine, University of Chicago, Chicago, IL, United States,*Correspondence: Daniil P. Aksenov,
| | - David A. Gascoigne
- Department of Radiology, NorthShore University HealthSystem, Evanston, IL, United States
| | - Jubao Duan
- Center for Psychiatric Genetics, NorthShore University HealthSystem, Evanston, IL, United States,Department of Psychiatry and Behavioral Neuroscience, The University of Chicago, Chicago, IL, United States
| | - Alexander Drobyshevsky
- Pritzker School of Medicine, University of Chicago, Chicago, IL, United States,Department of Pediatrics, NorthShore University HealthSystem, Evanston, IL, United States
| |
Collapse
|
5
|
Yang M, Xia M, Zhang S, Wu D, Li D, Hou X, Wang D. Motion artifact correction for resting-state neonatal functional near-infrared spectroscopy through adaptive estimation of physiological oscillation denoising. NEUROPHOTONICS 2022; 9:045002. [PMID: 36284541 PMCID: PMC9587758 DOI: 10.1117/1.nph.9.4.045002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 09/20/2022] [Indexed: 06/16/2023]
Abstract
SIGNIFICANCE Functional near-infrared spectroscopy (fNIRS) for resting-state neonatal brain function evaluation provides assistance for pediatricians in diagnosis and monitoring treatment outcomes. Artifact contamination is an important challenge in the application of fNIRS in the neonatal population. AIM Our study aims to develop a correction algorithm that can effectively remove different types of artifacts from neonatal data. APPROACH In the study, we estimate the recognition threshold based on the amplitude characteristics of the signal and artifacts. After artifact recognition, Spline and Gaussian replacements are used separately to correct the artifacts. Various correction method recovery effects on simulated artifact and actual neonatal data are compared using the Pearson correlation ( R ) and root mean square error (RMSE). Simulated data connectivity recovery is used to compare various method performances. RESULTS The neonatal resting-state data corrected by our method showed better agreement with results by visual recognition and correction, and significant improvements ( R = 0.732 ± 0.155 , RMSE = 0.536 ± 0.339 ; paired t -test, ** p < 0.01 ). Moreover, the method showed a higher degree of recovery of connectivity in simulated data. CONCLUSIONS The proposed algorithm corrects artifacts such as baseline shifts, spikes, and serial disturbances in neonatal fNIRS data quickly and more effectively. It can be used for preprocessing in clinical applications of neonatal fNIRS brain function detection.
Collapse
Affiliation(s)
- Mingxi Yang
- Beihang University, Ministry of Education, School of Biological Science and Medical Engineering, Beijing Advanced Innovation Center for Biomedical Engineering, Key Laboratory of Biomechanics and Mechanobiology, Beijing, China
| | - Meiyun Xia
- Beihang University, School of Mechanical Engineering and Automation, State Key Laboratory of Virtual Reality Technology and System, Beijing, China
| | - Shen Zhang
- Beihang University, Ministry of Education, School of Biological Science and Medical Engineering, Beijing Advanced Innovation Center for Biomedical Engineering, Key Laboratory of Biomechanics and Mechanobiology, Beijing, China
| | - Di Wu
- Beihang University, Ministry of Education, School of Biological Science and Medical Engineering, Beijing Advanced Innovation Center for Biomedical Engineering, Key Laboratory of Biomechanics and Mechanobiology, Beijing, China
| | - Deyu Li
- Beihang University, Ministry of Education, School of Biological Science and Medical Engineering, Beijing Advanced Innovation Center for Biomedical Engineering, Key Laboratory of Biomechanics and Mechanobiology, Beijing, China
- Beihang University, School of Mechanical Engineering and Automation, State Key Laboratory of Virtual Reality Technology and System, Beijing, China
| | - Xinlin Hou
- Peking University First Hospital, Department of Neonatal Ward, Beijing, China
| | - Daifa Wang
- Beihang University, Ministry of Education, School of Biological Science and Medical Engineering, Beijing Advanced Innovation Center for Biomedical Engineering, Key Laboratory of Biomechanics and Mechanobiology, Beijing, China
| |
Collapse
|
6
|
Scholkmann F, Tachtsidis I, Wolf M, Wolf U. Systemic physiology augmented functional near-infrared spectroscopy: a powerful approach to study the embodied human brain. NEUROPHOTONICS 2022; 9:030801. [PMID: 35832785 PMCID: PMC9272976 DOI: 10.1117/1.nph.9.3.030801] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 06/07/2022] [Indexed: 05/15/2023]
Abstract
In this Outlook paper, we explain why an accurate physiological interpretation of functional near-infrared spectroscopy (fNIRS) neuroimaging signals is facilitated when systemic physiological activity (e.g., cardiorespiratory and autonomic activity) is measured simultaneously by employing systemic physiology augmented functional near-infrared spectroscopy (SPA-fNIRS). The rationale for SPA-fNIRS is twofold: (i) SPA-fNIRS enables a more complete interpretation and understanding of the fNIRS signals measured at the head since they contain components originating from neurovascular coupling and from systemic physiological sources. The systemic physiology signals measured with SPA-fNIRS can be used for regressing out physiological confounding components in fNIRS signals. Misinterpretations can thus be minimized. (ii) SPA-fNIRS enables to study the embodied brain by linking the brain with the physiological state of the entire body, allowing novel insights into their complex interplay. We envisage the SPA-fNIRS approach will become increasingly important in the future.
Collapse
Affiliation(s)
- Felix Scholkmann
- University of Bern, Institute of Complementary and Integrative Medicine, Bern, Switzerland
- University Hospital Zurich, University of Zurich, Biomedical Optics Research Laboratory, Neonatology Research, Department of Neonatology, Zurich, Switzerland
| | - Ilias Tachtsidis
- University College London, Biomedical Optics Research Laboratory, Department of Medical Physics and Biomedical Engineering, London, United Kingdom
| | - Martin Wolf
- University Hospital Zurich, University of Zurich, Biomedical Optics Research Laboratory, Neonatology Research, Department of Neonatology, Zurich, Switzerland
| | - Ursula Wolf
- University of Bern, Institute of Complementary and Integrative Medicine, Bern, Switzerland
| |
Collapse
|
7
|
Hakim U, Pinti P, Noah AJ, Zhang X, Burgess P, Hamilton A, Hirsch J, Tachtsidis I. Investigation of functional near-infrared spectroscopy signal quality and development of the hemodynamic phase correlation signal. NEUROPHOTONICS 2022; 9:025001. [PMID: 35599691 PMCID: PMC9116886 DOI: 10.1117/1.nph.9.2.025001] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 04/13/2022] [Indexed: 06/15/2023]
Abstract
Significance: There is a longstanding recommendation within the field of fNIRS to use oxygenated (HbO 2 ) and deoxygenated (HHb) hemoglobin when analyzing and interpreting results. Despite this, many fNIRS studies do focus onHbO 2 only. Previous work has shown thatHbO 2 on its own is susceptible to systemic interference and results may mostly reflect that rather than functional activation. Studies using bothHbO 2 and HHb to draw their conclusions do so with varying methods and can lead to discrepancies between studies. The combination ofHbO 2 and HHb has been recommended as a method to utilize both signals in analysis. Aim: We present the development of the hemodynamic phase correlation (HPC) signal to combineHbO 2 and HHb as recommended to utilize both signals in the analysis. We use synthetic and experimental data to evaluate how the HPC and current signals used for fNIRS analysis compare. Approach: About 18 synthetic datasets were formed using resting-state fNIRS data acquired from 16 channels over the frontal lobe. To simulate fNIRS data for a block-design task, we superimposed a synthetic task-related hemodynamic response to the resting state data. This data was used to develop an HPC-general linear model (GLM) framework. Experiments were conducted to investigate the performance of each signal at different SNR and to investigate the effect of false positives on the data. Performance was based on each signal's mean T -value across channels. Experimental data recorded from 128 participants across 134 channels during a finger-tapping task were used to investigate the performance of multiple signals [HbO 2 , HHb, HbT, HbD, correlation-based signal improvement (CBSI), and HPC] on real data. Signal performance was evaluated on its ability to localize activation to a specific region of interest. Results: Results from varying the SNR show that the HPC signal has the highest performance for high SNRs. The CBSI performed the best for medium-low SNR. The next analysis evaluated how false positives affect the signals. The analyses evaluating the effect of false positives showed that the HPC and CBSI signals reflect the effect of false positives onHbO 2 and HHb. The analysis of real experimental data revealed that the HPC and HHb signals provide localization to the primary motor cortex with the highest accuracy. Conclusions: We developed a new hemodynamic signal (HPC) with the potential to overcome the current limitations of usingHbO 2 and HHb separately. Our results suggest that the HPC signal provides comparable accuracy to HHb to localize functional activation while at the same time being more robust against false positives.
Collapse
Affiliation(s)
- Uzair Hakim
- University College London, Department of Medical Physics and Biomedical Engineering, London, United Kingdom
| | - Paola Pinti
- University College London, Department of Medical Physics and Biomedical Engineering, London, United Kingdom
- University of London, Birkbeck College, Centre for Brain and Cognitive Development, London, United Kingdom
| | - Adam J. Noah
- Yale University, Department of Neuroscience and Comparative Medicine, Yale School of Medicine, United States
| | - Xian Zhang
- Yale University, Department of Neuroscience and Comparative Medicine, Yale School of Medicine, United States
| | - Paul Burgess
- University College London, Institute of Cognitive Neuroscience, London, United Kingdom
| | - Antonia Hamilton
- University College London, Institute of Cognitive Neuroscience, London, United Kingdom
| | - Joy Hirsch
- University College London, Department of Medical Physics and Biomedical Engineering, London, United Kingdom
- Yale University, Department of Neuroscience and Comparative Medicine, Yale School of Medicine, United States
| | - Ilias Tachtsidis
- University College London, Department of Medical Physics and Biomedical Engineering, London, United Kingdom
| |
Collapse
|
8
|
Differential age-dependent development of inter-area brain connectivity in term and preterm neonates. Pediatr Res 2022; 92:1017-1025. [PMID: 35094022 PMCID: PMC9586860 DOI: 10.1038/s41390-022-01939-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 12/03/2021] [Accepted: 12/04/2021] [Indexed: 12/14/2022]
Abstract
BACKGROUND Among preterm infants, higher morbidities of neurological disturbances and developmental delays are critical issues. Resting-state networks (RSNs) in the brain are suitable measures for assessing higher-level neurocognition. Since investigating task-related brain activity is difficult in neonates, assessment of RSNs provides invaluable insight into their neurocognitive development. METHODS The participants, 32 term and 71 preterm neonates, were divided into three groups based on gestational age (GA) at birth. Cerebral hemodynamic activity of RSNs was measured using functional near-infrared spectroscopy in the temporal, frontal, and parietal regions. RESULTS High-GA preterm infants (GA ≥ 30 weeks) had a significantly stronger RSN than low-GA preterm infants and term infants. Regression analyses of RSNs as a function of postnatal age (PNA) revealed a steeper regression line in the high-GA preterm and term infants than in the low-GA infants, particularly for inter-area brain connectivity between the frontal and left temporal areas. CONCLUSIONS Slower PNA-dependent development of the frontal-temporal network found only in the low-GA group suggests that significant brain growth optimal in the intrauterine environment takes place before 30 weeks of gestation. The present study suggests a likely reason for the high incidence of neurodevelopmental impairment in early preterm infants. IMPACT Resting-state fNIRS measurements in three neonate groups differing in gestational age (GA) showed stronger networks in the high-GA preterm infants than in the term and low-GA infants, which was partly explained by postnatal age (PNA). Regression analyses revealed a similar PNA-dependence in the development of the inter-area networks in the frontal and temporal lobes in the high-GA and term infants, and significantly slower development in the low-GA infants. These results suggest that optimal intrauterine brain growth takes place before 30 weeks of gestation. This explains one of the reasons for the high incidence of neurodevelopmental impairment in early preterm infants.
Collapse
|
9
|
van Hedel HJA, Bulloni A, Gut A. Prefrontal Cortex and Supplementary Motor Area Activation During Robot-Assisted Weight-Supported Over-Ground Walking in Young Neurological Patients: A Pilot fNIRS Study. FRONTIERS IN REHABILITATION SCIENCES 2021; 2:788087. [PMID: 36188767 PMCID: PMC9397849 DOI: 10.3389/fresc.2021.788087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 11/16/2021] [Indexed: 06/16/2023]
Abstract
Introduction: Rehabilitation therapy devices are designed for practicing intensively task-specific exercises inducing long-term neuroplastic changes underlying improved functional outcome. The Andago enables over-ground walking with bodyweight support requiring relatively high cognitive demands. In this study, we investigated whether we could identify children and adolescents with neurological gait impairments who show increased hemodynamic responses of the supplementary motor area (SMA) or prefrontal cortex (PFC) measured with functional near-infrared spectroscopy (fNIRS) when walking in Andago compared to walking on a treadmill. We further assessed the practicability and acceptability of fNIRS. Methods: Thirteen participants (two girls, 11 boys, age 8.0-15.7 years) with neurological impairments walked in the Andago and on a treadmill under comparable conditions. We measured hemodynamic responses over SMA and PFC during 10 walks (each lasting 20 s.) per condition and analyzed the data according to the latest recommendations. In addition, we listed technical issues, stopped the time needed to don fNIRS, and used a questionnaire to assess acceptability. Results: Hemodynamic responses varied largely between participants. Participants with a typical hemodynamic response (i.e., increased oxygenated hemoglobin concentration) showed large cortical activations during walking in Andago compared to treadmill walking (large effect sizes, i.e., for SMA: r = 0.91, n = 4; for PFC: r = 0.62, n = 3). Other participants showed atypical (SMA: n = 2; PFC: n = 4) or inconclusive hemodynamic responses (SMA: n = 5; PFC: n = 4). The median time for donning fNIRS was 28 min. The questionnaire indicated high acceptance of fNIRS, despite that single participants reported painful sensations. Discussion: Repetitive increased activation of cortical areas like the SMA and PFC might result in long-term neuroplastic changes underlying improved functional outcome. This cross-sectional pilot study provides first numbers on hemodynamic responses in SMA and PFC during walking in Andago in children with neurological impairments, reveals that only a small proportion of the participants shows typical hemodynamic responses, and reports that fNIRS requires considerable time for donning. This information is needed when designing future longitudinal studies to investigate whether increased brain activation of SMA and PFC during walking in Andago could serve as a biomarker to identify potential therapy responders among children and adolescents undergoing neurorehabilitation.
Collapse
Affiliation(s)
- Hubertus J. A. van Hedel
- Swiss Children's Rehab, University Children's Hospital Zurich, Affoltern am Albis, Switzerland
- Children's Research Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Agata Bulloni
- Swiss Children's Rehab, University Children's Hospital Zurich, Affoltern am Albis, Switzerland
- Department of Health Sciences and Technology, Institute for Human Movement Sciences and Sport, ETH Zurich, Zurich, Switzerland
| | - Anja Gut
- Swiss Children's Rehab, University Children's Hospital Zurich, Affoltern am Albis, Switzerland
- Children's Research Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland
| |
Collapse
|
10
|
Gemignani J, Gervain J. Comparing different pre-processing routines for infant fNIRS data. Dev Cogn Neurosci 2021; 48:100943. [PMID: 33735718 PMCID: PMC7985709 DOI: 10.1016/j.dcn.2021.100943] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 02/25/2021] [Accepted: 03/09/2021] [Indexed: 01/24/2023] Open
Abstract
Functional Near Infrared Spectroscopy (fNIRS) is an important neuroimaging technique in cognitive developmental neuroscience. Nevertheless, there is no general consensus yet about best pre-processing practices. This issue is highly relevant, especially since the development and variability of the infant hemodynamic response (HRF) is not fully known. Systematic comparisons between analysis methods are thus necessary. We investigated the performance of five different pipelines, selected on the basis of a systematic search of the infant NIRS literature, in two experiments. In Experiment 1, we used synthetic data to compare the recovered HRFs with the true HRF and to assess the robustness of each method against increasing levels of noise. In Experiment 2, we analyzed experimental data from a published study, which assessed the neural correlates of artificial grammar processing in newborns. We found that with motion artifact correction (as opposed to rejection) a larger number of trials were retained, but HRF amplitude was often strongly reduced. By contrast, artifact rejection resulted in a high exclusion rate but preserved adequately the characteristics of the HRF. We also found that the performance of all pipelines declined as the noise increased, but significantly less so than if no pre-processing was applied. Finally, we found no difference between running the pre-processing on optical density or concentration change data. These results suggest that pre-processing should thus be optimized as a function of the specific quality issues a give dataset exhibits.
Collapse
Affiliation(s)
- Jessica Gemignani
- Department of Developmental Psychology and Socialisation, University of Padova, Padova, Italy; Integrative Neuroscience and Cognition Center, CNRS & University of Paris, Paris, France.
| | - Judit Gervain
- Department of Developmental Psychology and Socialisation, University of Padova, Padova, Italy; Integrative Neuroscience and Cognition Center, CNRS & University of Paris, Paris, France
| |
Collapse
|
11
|
Collins-Jones LH, Arichi T, Poppe T, Billing A, Xiao J, Fabrizi L, Brigadoi S, Hebden JC, Elwell CE, Cooper RJ. Construction and validation of a database of head models for functional imaging of the neonatal brain. Hum Brain Mapp 2020; 42:567-586. [PMID: 33068482 PMCID: PMC7814762 DOI: 10.1002/hbm.25242] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Revised: 07/01/2020] [Accepted: 09/24/2020] [Indexed: 12/17/2022] Open
Abstract
The neonatal brain undergoes dramatic structural and functional changes over the last trimester of gestation. The accuracy of source localisation of brain activity recorded from the scalp therefore relies on accurate age-specific head models. Although an age-appropriate population-level atlas could be used, detail is lost in the construction of such atlases, in particular with regard to the smoothing of the cortical surface, and so such a model is not representative of anatomy at an individual level. In this work, we describe the construction of a database of individual structural priors of the neonatal head using 215 individual-level datasets at ages 29-44 weeks postmenstrual age from the Developing Human Connectome Project. We have validated a method to segment the extra-cerebral tissue against manual segmentation. We have also conducted a leave-one-out analysis to quantify the expected spatial error incurred with regard to localising functional activation when using a best-matching individual from the database in place of a subject-specific model; the median error was calculated to be 8.3 mm (median absolute deviation 3.8 mm). The database can be applied for any functional neuroimaging modality which requires structural data whereby the physical parameters associated with that modality vary with tissue type and is freely available at www.ucl.ac.uk/dot-hub.
Collapse
Affiliation(s)
- Liam H Collins-Jones
- DOT-HUB, Department of Medical Physics and Biomedical Engineering, University College London, London, UK.,Biomedical Optics Research Laboratory, Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Tomoki Arichi
- Centre for the Developing Brain, Division of Imaging Sciences and Biomedical Engineering, King's College London, King's Health Partners, St Thomas' Hospital, London, UK.,Department of Bioengineering, Imperial College of Science, Technology, and Medicine, London, UK
| | - Tanya Poppe
- Centre for the Developing Brain, Division of Imaging Sciences and Biomedical Engineering, King's College London, King's Health Partners, St Thomas' Hospital, London, UK
| | - Addison Billing
- DOT-HUB, Department of Medical Physics and Biomedical Engineering, University College London, London, UK.,Institute for Cognitive Neuroscience, University College London, London, UK
| | - Jiaxin Xiao
- Centre for the Developing Brain, Division of Imaging Sciences and Biomedical Engineering, King's College London, King's Health Partners, St Thomas' Hospital, London, UK
| | - Lorenzo Fabrizi
- Department of Neuroscience, Physiology and Pharmacology, University College London, London, UK
| | - Sabrina Brigadoi
- Department of Information Engineering, University of Padova, Padova, Italy.,Department of Developmental Psychology and Socialisation, University of Padova, Padova, Italy
| | - Jeremy C Hebden
- DOT-HUB, Department of Medical Physics and Biomedical Engineering, University College London, London, UK.,Biomedical Optics Research Laboratory, Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Clare E Elwell
- DOT-HUB, Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Robert J Cooper
- DOT-HUB, Department of Medical Physics and Biomedical Engineering, University College London, London, UK.,Biomedical Optics Research Laboratory, Medical Physics and Biomedical Engineering, University College London, London, UK
| |
Collapse
|
12
|
Yang R, Zhang Y, Wang H, Xu X. Effects of in-hospital breast feeding on brain function development in preterm infants in China: study protocol for a prospective longitudinal cohort study. BMJ Open 2020; 10:e038879. [PMID: 33040015 PMCID: PMC7549488 DOI: 10.1136/bmjopen-2020-038879] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 08/07/2020] [Accepted: 09/06/2020] [Indexed: 01/13/2023] Open
Abstract
INTRODUCTION Due to immature brain development, preterm infants are more likely to develop neurological developmental defects compared with full-term infants. Most preterm infants without neurodevelopmental damage can eventually reach the same scholastic level as their same-age peers; however, some show persistent impairment. Breast feeding (BF), which is an important public health measure, is of great significance for preterm infants. Various active substances in breast milk promote the development of the brain and central nervous system in premature infants. We present a protocol for a prospective longitudinal cohort study to explore the effect of in-hospital BF on brain development in preterm infants and possible influencing factors. METHODS AND ANALYSIS This study will enrol 247 Chinese preterm infants (gestational age: 30-34 weeks) delivered in Women's Hospital School of Medicine, Zhejiang University, and transferred to the neonatal intensive care unit. Demographic, clinical and in-hospital BF data will be collected through electronic medical records. Moreover, follow-up data will be obtained by telephone, interview or online. Measurements will be obtained using the Breastfeeding Self-Efficacy Scale-Short Form, neuroimaging with functional near-infrared spectroscopy, extrauterine growth restriction and the Ages and Stages Questionnaire. Follow-up will be performed at 3, 6 and 12 months after birth. ETHICS AND DISSEMINATION This study has been approved by the Women's Hospital School of Medicine Zhejiang University Medical Ethics Committee (2019-058). The study results are expected to be published in peer-reviewed journals and reported at relevant national and international conferences. TRIAL REGISTRATION NUMBER ChiCTR1900027648; Pre-results.
Collapse
Affiliation(s)
- Rui Yang
- Nursing Department, Zhejiang University School of Medicine, Hangzhou, China
| | - Yao Zhang
- Nursing College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Hua Wang
- Neonatal Intensive Care Units, Zhejiang University School of Medicine Women's Hospital, Hangzhou, Zhejiang, China
| | - Xinfen Xu
- Nursing Department, Zhejiang University School of Medicine Women's Hospital, Hangzhou, Zhejiang, China
- Haining Maternal and Child Health Hospital, Zhejiang University School of Medicine Women's Hospital, Haining, Zhejiang, China
| |
Collapse
|
13
|
Nitzan M, Nitzan I, Arieli Y. The Various Oximetric Techniques Used for the Evaluation of Blood Oxygenation. SENSORS 2020; 20:s20174844. [PMID: 32867184 PMCID: PMC7506757 DOI: 10.3390/s20174844] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 08/24/2020] [Accepted: 08/25/2020] [Indexed: 12/12/2022]
Abstract
Adequate oxygen delivery to a tissue depends on sufficient oxygen content in arterial blood and blood flow to the tissue. Oximetry is a technique for the assessment of blood oxygenation by measurements of light transmission through the blood, which is based on the different absorption spectra of oxygenated and deoxygenated hemoglobin. Oxygen saturation in arterial blood provides information on the adequacy of respiration and is routinely measured in clinical settings, utilizing pulse oximetry. Oxygen saturation, in venous blood (SvO2) and in the entire blood in a tissue (StO2), is related to the blood supply to the tissue, and several oximetric techniques have been developed for their assessment. SvO2 can be measured non-invasively in the fingers, making use of modified pulse oximetry, and in the retina, using the modified Beer–Lambert Law. StO2 is measured in peripheral muscle and cerebral tissue by means of various modes of near infrared spectroscopy (NIRS), utilizing the relative transparency of infrared light in muscle and cerebral tissue. The primary problem of oximetry is the discrimination between absorption by hemoglobin and scattering by tissue elements in the attenuation measurement, and the various techniques developed for isolating the absorption effect are presented in the current review, with their limitations.
Collapse
Affiliation(s)
- Meir Nitzan
- Department of Physics/Electro-Optics Engineering, Jerusalem College of Technology, 21 Havaad Haleumi St., Jerusalem 91160, Israel;
- Correspondence:
| | - Itamar Nitzan
- Monash Newborn, Monash Children’s Hospital, Melbourne 3168, Australia;
- Department of Neonatology, Shaare Zedek Medical Center, Shmuel Bait St 12, Jerusalem 9103102, Israel
| | - Yoel Arieli
- Department of Physics/Electro-Optics Engineering, Jerusalem College of Technology, 21 Havaad Haleumi St., Jerusalem 91160, Israel;
| |
Collapse
|