Neurophotonics最新文献

{"title":"Mapping multi-regional functional connectivity of astrocyte-neuronal networks during behaviors.","authors":"Haoyu Wang, Mingzhu Huang, Shaofan Yang, Jiameng Xu, Jin Li, Han Qin, Shanshan Liang, Teng Teng, Chuanyan Yang, Mingyue Gong, Yong He, Xingyi Li, Huiquan Wang, Xiang Liao, Xiaowei Chen, Zhiqi Yang, Kuan Zhang","doi":"10.1117/1.NPh.11.4.045010","DOIUrl":"10.1117/1.NPh.11.4.045010","url":null,"abstract":"<p><strong>Significance: </strong>Diverse behaviors rely on coordinated activity and multi-regional functional connectivity within astrocyte-neuronal networks. However, current techniques for simultaneously measuring astrocytic and neuronal activities across multiple brain regions during behaviors remain limited.</p><p><strong>Aim: </strong>We propose a multi-fiber solution that can simultaneously record activities of astrocyte-neuronal networks across multiple regions during behaviors.</p><p><strong>Approach: </strong>We employed cell-specific dual-color genetically encoded calcium indicators (GECIs) and multi-fiber photometry to simultaneously measure astrocytic and neuronal Ca²⁺ transients across multiple brain regions in freely behaving animals.</p><p><strong>Results: </strong>Our findings demonstrate that both movements and sensory stimuli induce synchronized and highly correlated Ca²⁺ transients in astrocytes and neurons of freely behaving mice. In addition, we recorded astrocytic and neuronal Ca²⁺ transients from multiple brain regions during mouse behaviors. Our observations reveal heightened synchronization of astrocytic and neuronal Ca²⁺ transients across different brain regions during movements or sensory stimuli, indicating enhanced functional connectivity within brain-wide astrocyte-neuronal networks.</p><p><strong>Conclusions: </strong>Multi-fiber photometry, combined with cell-specific dual-color GECIs, represents a powerful approach for investigating astrocytic and neuronal activities across different brain regions during behaviors. This technique serves as a versatile tool for analyzing the multi-regional functional connectivity map of astrocyte-neuronal networks associated with specific behaviors.</p>","PeriodicalId":54335,"journal":{"name":"Neurophotonics","volume":"11 4","pages":"045010"},"PeriodicalIF":4.8,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11566604/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142649699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ecological functional near-infrared spectroscopy in mobile children: using short separation channels to correct for systemic contamination during naturalistic neuroimaging.","authors":"Paola Pinti, Larisa M Dina, Tim J Smith","doi":"10.1117/1.NPh.11.4.045004","DOIUrl":"https://doi.org/10.1117/1.NPh.11.4.045004","url":null,"abstract":"<p><strong>Significance: </strong>The advances and miniaturization in functional near-infrared spectroscopy (fNIRS) instrumentation offer the potential to move the classical laboratory-based cognitive neuroscience investigations into more naturalistic settings. Wearable and mobile fNIRS devices also provide a novel child-friendly means to image functional brain activity in freely moving toddlers and preschoolers. Measuring brain activity in more ecologically valid settings with fNIRS presents additional challenges, such as the increased impact of physiological interferences. One of the most popular methods for minimizing such interferences is to regress out short separation channels from the long separation channels [i.e., superficial signal regression (SSR)]. Although this has been extensively investigated in adults, little is known about the impact of systemic changes on the fNIRS signals recorded in children in either classical or novel naturalistic experiments.</p><p><strong>Aim: </strong>We aim to investigate if extracerebral physiological changes occur in toddlers and preschoolers and whether SSR can help minimize these interferences.</p><p><strong>Approach: </strong>We collected fNIRS data from 3- to 7-year-olds during a conventional computerized static task and in a dynamic naturalistic task in an immersive virtual reality (VR) cave automatic virtual environment.</p><p><strong>Results: </strong>Our results show that superficial signal contamination data are present in young children as in adults. Importantly, we find that SSR helps in improving the localization of functional brain activity, both in the computerized task and, to a larger extent, in the dynamic VR task.</p><p><strong>Conclusions: </strong>Following these results, we formulate suggestions to advance the field of developmental neuroimaging with fNIRS, particularly in ecological settings.</p>","PeriodicalId":54335,"journal":{"name":"Neurophotonics","volume":"11 4","pages":"045004"},"PeriodicalIF":4.8,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11460616/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142395303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparing different motion correction approaches for resting-state functional connectivity analysis with functional near-infrared spectroscopy data.","authors":"Costanza Iester, Laura Bonzano, Monica Biggio, Simone Cutini, Marco Bove, Sabrina Brigadoi","doi":"10.1117/1.NPh.11.4.045001","DOIUrl":"10.1117/1.NPh.11.4.045001","url":null,"abstract":"<p><strong>Significance: </strong>Motion artifacts are a notorious challenge in the functional near-infrared spectroscopy (fNIRS) field. However, little is known about how to deal with them in resting-state data.</p><p><strong>Aim: </strong>We assessed the impact of motion artifact correction approaches on assessing functional connectivity, using semi-simulated datasets with different percentages and types of motion artifact contamination.</p><p><strong>Approach: </strong>Thirty-five healthy adults underwent a 15-min resting-state acquisition. Semi-simulated datasets were generated by adding spike-like and/or baseline-shift motion artifacts to the real dataset. Fifteen pipelines, employing various correction approaches, were applied to each dataset, and the group correlation matrix was computed. Three metrics were used to test the performance of each approach.</p><p><strong>Results: </strong>When motion artifact contamination was low, various correction approaches were effective. However, with increased contamination, only a few pipelines were reliable. For datasets mostly free of baseline-shift artifacts, discarding contaminated frames after pre-processing was optimal. Conversely, when both spike and baseline-shift artifacts were present, discarding contaminated frames before pre-processing yielded the best results.</p><p><strong>Conclusions: </strong>This study emphasizes the need for customized motion correction approaches as the effectiveness varies with the specific type and amount of motion artifacts present.</p>","PeriodicalId":54335,"journal":{"name":"Neurophotonics","volume":"11 4","pages":"045001"},"PeriodicalIF":4.8,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11448702/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142382436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of residual awareness in patients with disorders of consciousness using functional near-infrared spectroscopy-based connectivity: a pilot study.","authors":"Yifang He, Nan Wang, Dongsheng Liu, Hao Peng, Shaoya Yin, Xiaosong Wang, Yong Wang, Yi Yang, Juanning Si","doi":"10.1117/1.NPh.11.4.045013","DOIUrl":"10.1117/1.NPh.11.4.045013","url":null,"abstract":"<p><strong>Significance: </strong>The accurate assessment and classification of residual consciousness are crucial for optimizing therapeutic interventions in patients with disorders of consciousness (DOCs). However, there remains an absence of effective and definitive diagnostic methods for DOC in clinical practice.</p><p><strong>Aim: </strong>The primary objective was to investigate the feasibility of utilizing resting state functional near-infrared spectroscopy (rs-fNIRS) for evaluating residual consciousness. The secondary objective was to explore the distinguishing characteristics that are more effective in differentiating between the unresponsive wakefulness syndrome (UWS) and the minimally conscious state (MCS) and to identify the machine learning model that offers superior classification accuracy.</p><p><strong>Approach: </strong>We utilized rs-fNIRS to evaluate the residual consciousness in patients with DOC. Specifically, rs-fNIRS was used to construct functional brain networks, and graph theory analysis was conducted to quantify the topological differences within these brain networks between MCS and UWS. After that, two classifiers were used to distinguish MCS from UWS.</p><p><strong>Results: </strong>The graph theory results showed that the MCS group ( <math><mrow><mi>n</mi> <mo>=</mo> <mn>8</mn></mrow> </math> ) exhibited significantly higher global efficiency ( <math> <mrow><msub><mi>E</mi> <mi>g</mi></msub> </mrow> </math> ) and smaller characteristic path length ( <math> <mrow><msub><mi>L</mi> <mi>p</mi></msub> </mrow> </math> ) than the UWS group ( <math><mrow><mi>n</mi> <mo>=</mo> <mn>10</mn></mrow> </math> ). The functional connectivity results showed that the correlation within the left occipital cortex (L_OC) was significantly lower in the MCS group than in the UWS group. By using the indicators with significant differences as features for further classification, the accuracy for <math><mrow><mi>K</mi></mrow> </math> -nearest neighbors and linear discriminant analysis classifiers was improved by 0.89 and 0.83, respectively.</p><p><strong>Conclusions: </strong>The resting state functional connectivity and graph theory analysis based on fNIRS has the potential to enhance the classification accuracy, providing valuable insights into the diagnosis of patients with DOC.</p>","PeriodicalId":54335,"journal":{"name":"Neurophotonics","volume":"11 4","pages":"045013"},"PeriodicalIF":4.8,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11635295/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142820163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cerebral baseline optical and hemodynamic properties in pediatric population: a large cohort time-domain near-infrared spectroscopy study.","authors":"Valeria Calcaterra, Michele Lacerenza, Caterina Amendola, Mauro Buttafava, Davide Contini, Virginia Rossi, Lorenzo Spinelli, Sara Zanelli, Gianvincenzo Zuccotti, Alessandro Torricelli","doi":"10.1117/1.NPh.11.4.045009","DOIUrl":"10.1117/1.NPh.11.4.045009","url":null,"abstract":"<p><strong>Significance: </strong>Reference cerebral near-infrared spectroscopy (NIRS) data on the pediatric population are scarce, and in most cases, only cerebral oxygen saturation ( <math> <mrow> <msub><mrow><mi>SO</mi></mrow> <mrow><mn>2</mn></mrow> </msub> </mrow> </math> ) measured by continuous wave spatially resolved spectroscopy NIRS is reported. Absolute data for baseline optical and hemodynamic parameters are missing.</p><p><strong>Aim: </strong>We aimed at collecting baseline cerebral optical parameters [absorption coefficient, <math> <mrow><msub><mi>μ</mi> <mi>a</mi></msub> </mrow> </math> ; reduced scattering coefficient, <math> <mrow> <msubsup><mrow><mi>μ</mi></mrow> <mrow><mi>s</mi></mrow> <mrow><mo>'</mo></mrow> </msubsup> </mrow> </math> ; differential pathlength factor (DPF)] and hemodynamic parameters [oxy-hemoglobin content ( <math> <mrow> <msub><mrow><mi>HbO</mi></mrow> <mrow><mn>2</mn></mrow> </msub> </mrow> </math> ), deoxyhemoglobin content (HHb), total hemoglobin content (tHB), <math> <mrow> <msub><mrow><mi>SO</mi></mrow> <mrow><mn>2</mn></mrow> </msub> </mrow> </math> ] in a large cohort of pediatric patients. The objectives are to establish reference optical values in this population and evaluate the reproducibility of a commercial time domain (TD) NIRS tissue oximeter.</p><p><strong>Approach: </strong>TD NIRS measurements were performed in the prefrontal cortex at 686 and 830 nm with a 2.5-cm source-detector distance and 1-Hz acquisition rate. Five independent measurements (after probe replacement) were taken for every subject. TD NIRS data were fitted to a photon diffusion model to estimate the optical parameters. From the absorption coefficients, the hemodynamic parameters were derived by Beer's law. Auxological and physiological information was also collected to explore the potential correlations with NIRS data.</p><p><strong>Results: </strong>We measured 305 patients in the age range of 2 to 18 years. Absolute values for baseline optical and hemodynamic parameters were shown as a function of age and auxological variables. From the analysis of the repositioning after probe replacement, the time-domain near-infrared spectroscopy device exhibited an average precision (intended as coefficient of variation) of <math><mrow><mo><</mo> <mn>5</mn> <mo>%</mo></mrow> </math> for <math> <mrow> <msubsup><mrow><mi>μ</mi></mrow> <mrow><mi>s</mi></mrow> <mrow><mo>'</mo></mrow> </msubsup> </mrow> </math> , DPF, <math> <mrow><msub><mi>HbO</mi> <mn>2</mn></msub> </mrow> </math> , HHb, and tHb, whereas precision was <math><mrow><mo><</mo> <mn>2</mn> <mo>%</mo></mrow> </math> for <math> <mrow><msub><mi>SO</mi> <mn>2</mn></msub> </mrow> </math> .</p><p><strong>Conclusions: </strong>We provided baseline values for optical and hemodynamic parameters in a large cohort of healthy pediatric subjects with good precision, providing a foundation for future investigations into clinically relevant deviations in these parameters.</p>","PeriodicalId":54335,"journal":{"name":"Neurophotonics","volume":"11 4","pages":"045009"},"PeriodicalIF":4.8,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11566259/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142649697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"NiReject: toward automated bad channel detection in functional near-infrared spectroscopy.","authors":"Christian Gerloff, Meryem A Yücel, Lena Mehlem, Kerstin Konrad, Vanessa Reindl","doi":"10.1117/1.NPh.11.4.045008","DOIUrl":"10.1117/1.NPh.11.4.045008","url":null,"abstract":"<p><strong>Significance: </strong>The increasing sample sizes and channel densities in functional near-infrared spectroscopy (fNIRS) necessitate precise and scalable identification of signals that do not permit reliable analysis to exclude them. Despite the relevance of detecting these \"bad channels,\" little is known about the behavior of fNIRS detection methods, and the potential of unsupervised and semi-supervised machine learning remains unexplored.</p><p><strong>Aim: </strong>We developed three novel machine learning-based detectors, unsupervised, semi-supervised, and hybrid NiReject, and compared them with existing approaches.</p><p><strong>Approach: </strong>We conducted a systematic literature search and demonstrated the influence of bad channel detection. Based on 29,924 signals from two independently rated datasets and a simulated scenario space of diverse phenomena, we evaluated the NiReject models, six of the most established detection methods in fNIRS, and 11 prominent methods from other domains.</p><p><strong>Results: </strong>Although the results indicated that a lack of proper detection can strongly bias findings, detection methods were reported in only 32% of the included studies. Semi-supervised models, specifically semi-supervised NiReject, outperformed both established thresholding-based and unsupervised detectors. Hybrid NiReject, utilizing a human feedback loop, addressed the practical challenges of semi-supervised methods while maintaining precise detection and low rating effort.</p><p><strong>Conclusions: </strong>This work contributes toward more automated and reliable fNIRS signal quality control by comprehensively evaluating existing and introducing novel machine learning-based techniques and outlining practical considerations for bad channel detection.</p>","PeriodicalId":54335,"journal":{"name":"Neurophotonics","volume":"11 4","pages":"045008"},"PeriodicalIF":4.8,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11532795/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142575638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mid-infrared photoacoustic brain imaging enabled by cascaded gas-filled hollow-core fiber lasers.","authors":"Cuiling Zhang, Kunyang Sui, Marcello Meneghetti, Jose Enrique Antonio-Lopez, Manoj K Dasa, Rune W Berg, Rodrigo Amezcua-Correa, Yazhou Wang, Christos Markos","doi":"10.1117/1.NPh.11.4.045012","DOIUrl":"10.1117/1.NPh.11.4.045012","url":null,"abstract":"<p><strong>Significance: </strong>Extending the photoacoustic microscopy (PAM) into the mid-infrared (MIR) molecular fingerprint region constitutes a promising route toward label-free imaging of biological molecular structures. Realizing this objective requires a high-energy nanosecond MIR laser source. However, existing MIR laser technologies are limited to either low pulse energy or free-space structure that is sensitive to environmental conditions. Fiber lasers are promising technologies for PAM for their potential to offer both high pulse energy and robust performance, which however have not yet been used for PAM because it is still at the infant research stage.</p><p><strong>Aim: </strong>We aim to employ the emerging gas-filled anti-resonant hollow-core fiber (ARHCF) laser technology for MIR-PAM for the purpose of imaging myelin-rich regions in a mouse brain.</p><p><strong>Approach: </strong>This laser source is developed with a high-pulse-energy nanosecond laser at <math><mrow><mn>3.4</mn> <mi>μ</mi> <mi>m</mi></mrow> </math> , targeting the main absorption band of myelin sheaths, the primary chemical component of axons in the central nervous system. The laser mechanism relies on two-order gas-induced vibrational stimulated Raman scattering for non-linear wavelength conversion, starting from a 1060-nm pump laser to <math><mrow><mn>3.4</mn> <mtext>  </mtext> <mi>μ</mi> <mi>m</mi></mrow> </math> through the two-stage gas-filled ARHCFs.</p><p><strong>Results: </strong>The developed fiber Raman laser was used for the first time for MIR-PAM of mouse brain regions containing structures rich in myelin. The high peak power of <math><mrow><mo>∼</mo> <mn>1.38</mn> <mtext>  </mtext> <mi>kW</mi></mrow> </math> and robust performance of the generated MIR Raman pulse addressed the challenge faced by the commonly used MIR lasers.</p><p><strong>Conclusions: </strong>We pioneered the potential use of high-energy and nanosecond gas-filled ARHCF laser source to MIR-PAM, with a first attempt to report this kind of fiber laser source for PAM of lipid-rich myelin regions in a mouse brain. We also open up possibilities for expanding into a versatile multiwavelength laser source covering multiple biomarkers and being employed to image other materials such as plastics.</p>","PeriodicalId":54335,"journal":{"name":"Neurophotonics","volume":"11 4","pages":"045012"},"PeriodicalIF":4.8,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11589470/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142734674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"<i>In vivo</i> volumetric analysis of retinal vascular hemodynamics in mice with spatio-temporal optical coherence tomography.","authors":"Piotr Węgrzyn, Wiktor Kulesza, Maciej Wielgo, Sławomir Tomczewski, Anna Galińska, Bartłomiej Bałamut, Katarzyna Kordecka, Onur Cetinkaya, Andrzej Foik, Robert J Zawadzki, Dawid Borycki, Maciej Wojtkowski, Andrea Curatolo","doi":"10.1117/1.NPh.11.4.045003","DOIUrl":"https://doi.org/10.1117/1.NPh.11.4.045003","url":null,"abstract":"<p><strong>Significance: </strong>Microcirculation and neurovascular coupling are important parameters to study in neurological and neuro-ophthalmic conditions. As the retina shares many similarities with the cerebral cortex and is optically accessible, a special focus is directed to assessing the chorioretinal structure, microvasculature, and hemodynamics of mice, a vital animal model for vision and neuroscience research.</p><p><strong>Aim: </strong>We aim to introduce an optical imaging tool enabling <i>in vivo</i> volumetric mouse retinal monitoring of vascular hemodynamics with high temporal resolution.</p><p><strong>Approach: </strong>We translated the spatio-temporal optical coherence tomography (STOC-T) technique into the field of small animal imaging by designing a new optical system that could compensate for the mouse eye refractive error. We also developed post-processing algorithms, notably for the assessment of (i) localized hemodynamics from the analysis of pulse wave-induced Doppler artifact modulation and (ii) retinal tissue displacement from phase-sensitive measurements.</p><p><strong>Results: </strong>We acquired high-quality, <i>in vivo</i> volumetric mouse retina images at a rate of 113 Hz over a lateral field of view of <math><mrow><mo>∼</mo> <mn>500</mn> <mtext>  </mtext> <mi>μ</mi> <mi>m</mi></mrow> </math> . We presented high-resolution <i>en face</i> images of the retinal and choroidal structure and microvasculature from various layers, after digital aberration correction. We were able to measure the pulse wave velocity in capillaries of the outer plexiform layer with a mean speed of 0.35 mm/s and identified venous and arterial pulsation frequency and phase delay. We quantified the modulation amplitudes of tissue displacement near major vessels (with peaks of 150 nm), potentially carrying information about the biomechanical properties of the retinal layers involved. Last, we identified the delays between retinal displacements due to the passing of venous and arterial pulse waves.</p><p><strong>Conclusions: </strong>The developed STOC-T system provides insights into the hemodynamics of the mouse retina and choroid that could be beneficial in the study of neurovascular coupling and vasculature and flow speed anomalies in neurological and neuro-ophthalmic conditions.</p>","PeriodicalId":54335,"journal":{"name":"Neurophotonics","volume":"11 4","pages":"0450031-4500322"},"PeriodicalIF":4.8,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11460669/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142395302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How the heterogeneity of the severely injured brain affects hybrid diffuse optical signals: case examples and guidelines.","authors":"Susanna Tagliabue, Michał Kacprzak, Anna Rey-Perez, Jacinto Baena, Marilyn Riveiro, Federica Maruccia, Jonas B Fischer, Maria A Poca, Turgut Durduran","doi":"10.1117/1.NPh.11.4.045005","DOIUrl":"10.1117/1.NPh.11.4.045005","url":null,"abstract":"<p><strong>Significance: </strong>A shortcoming of the routine clinical use of diffuse optics (DO) in the injured head has been that the results from commercial near-infrared spectroscopy-based devices are not reproducible, often give physiologically invalid values, and differ among systems. Besides the limitations due to the physics of continuous-wave light sources, one culprit is the head heterogeneity and the underlying morphological and functional abnormalities of the probed tissue.</p><p><strong>Aim: </strong>The aim is to investigate the effect that different tissue alterations in the damaged head have on DO signals and provide guidelines to avoid data misinterpretation.</p><p><strong>Approach: </strong>DO measurements and computed tomography scans were acquired on brain-injured patients. The relationship between the signals and the underlying tissue types was classified on a case-by-case basis.</p><p><strong>Results: </strong>Examples and suggestions to establish quality control routines were provided. The findings suggested guidelines for carrying out DO measurements and speculations toward improved devices.</p><p><strong>Conclusions: </strong>We advocate for the standardization of the DO measurements to secure a role for DO in neurocritical care. We suggest that blind measurements are unacceptably problematic due to confounding effects and care using <i>a priori</i> and <i>a posteriori</i> quality control routines that go beyond an assessment of the signal-to-noise ratio that is typically utilized.</p>","PeriodicalId":54335,"journal":{"name":"Neurophotonics","volume":"11 4","pages":"045005"},"PeriodicalIF":4.8,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11487584/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142480775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Disentangling the impact of motion artifact correction algorithms on functional near-infrared spectroscopy-based brain network analysis.","authors":"Shuo Guan, Yuhang Li, Yuxi Luo, Haijing Niu, Yuanyuan Gao, Dalin Yang, Rihui Li","doi":"10.1117/1.NPh.11.4.045006","DOIUrl":"https://doi.org/10.1117/1.NPh.11.4.045006","url":null,"abstract":"<p><strong>Significance: </strong>Functional near-infrared spectroscopy (fNIRS) has been widely used to assess brain functional networks due to its superior ecological validity. Generally, fNIRS signals are sensitive to motion artifacts (MA), which can be removed by various MA correction algorithms. Yet, fNIRS signals may also undergo varying degrees of distortion due to MA correction, leading to notable alternation in functional connectivity (FC) analysis results.</p><p><strong>Aim: </strong>We aimed to investigate the effect of different MA correction algorithms on the performance of brain FC and topology analyses.</p><p><strong>Approach: </strong>We evaluated various MA correction algorithms on simulated and experimental datasets, including principal component analysis, spline interpolation, correlation-based signal improvement, Kalman filtering, wavelet filtering, and temporal derivative distribution repair (TDDR). The mean FC of each pre-defined network, receiver operating characteristic (ROC), and graph theory metrics were investigated to assess the performance of different algorithms.</p><p><strong>Results: </strong>Although most algorithms did not differ significantly from each other, the TDDR and wavelet filtering turned out to be the most effective methods for FC and topological analysis, as evidenced by their superior denoising ability, the best ROC, and an enhanced ability to recover the original FC pattern.</p><p><strong>Conclusions: </strong>The findings of our study elucidate the varying impact of MA correction algorithms on brain FC analysis, which could serve as a reference for choosing the most appropriate method for future FC research. As guidance, we recommend using TDDR or wavelet filtering to minimize the impact of MA correction in brain network analysis.</p>","PeriodicalId":54335,"journal":{"name":"Neurophotonics","volume":"11 4","pages":"045006"},"PeriodicalIF":4.8,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11498316/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142512967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}