Best practices for fNIRS publications
暂无分享,去创建一个
Alessandro Torricelli | Martin Wolf | Heidrun Wabnitz | Yunjie Tong | Sungho Tak | Hellmuth Obrig | Ippeita Dan | Ilias Tachtsidis | Robert J. Cooper | Hasan Ayaz | Clare E. Elwell | Felix Scholkmann | Frédéric Lesage | Christophe Grova | Meryem A. Yücel | Fumitaka Homae | David Boas | Adam Eggebrecht | Alexander v. Lühmann | Judit Gervain | Joseph Culver | Maria A. Franceschini | D. Boas | S. Tak | F. Scholkmann | C. Grova | H. Obrig | A. Torricelli | C. Elwell | M. Wolf | M. Franceschini | J. Culver | F. Lesage | J. Gervain | H. Wabnitz | I. Tachtsidis | M. A. Yücel | I. Dan | A. Lühmann | H. Ayaz | F. Homae | R. Cooper | A. Eggebrecht | Y. Tong | M. Yücel | M. Wolf
[1] Ioulia Kovelman,et al. Photogrammetry-based stereoscopic optode registration method for functional near-infrared spectroscopy , 2020, Journal of biomedical optics.
[2] Martin Lindquist,et al. Neuroimaging results altered by varying analysis pipelines , 2020, Nature.
[3] Juan Du,et al. Multilayer, Dynamic, Mixed Solid/Liquid Human Head Models for the Evaluation of Near Infrared Spectroscopy Systems , 2020, IEEE Transactions on Instrumentation and Measurement.
[4] Samuel Montero Hernandez,et al. NIRSplot: A Tool for Quality Assessment of fNIRS Scans , 2020 .
[5] S. Fantini,et al. Frequency-Domain Techniques for Cerebral and Functional Near-Infrared Spectroscopy , 2020, Frontiers in Neuroscience.
[6] David A. Boas,et al. Using the General Linear Model to Improve Performance in fNIRS Single Trial Analysis and Classification: A Perspective , 2020, Frontiers in Human Neuroscience.
[7] Qianqian Fang,et al. Improving model-based functional near-infrared spectroscopy analysis using mesh-based anatomical and light-transport models , 2020, Neurophotonics.
[8] Rickson C Mesquita,et al. Functional near-infrared spectroscopy for speech protocols: characterization of motion artifacts and guidelines for improving data analysis , 2020, Neurophotonics.
[9] David A. Boas,et al. Improved physiological noise regression in fNIRS: A multimodal extension of the General Linear Model using temporally embedded Canonical Correlation Analysis , 2019, NeuroImage.
[10] Kevin Murphy,et al. Vascular physiology drives functional brain networks , 2018, NeuroImage.
[11] V. Chock,et al. Simultaneous Near-Infrared Spectroscopy (NIRS) and Amplitude-Integrated Electroencephalography (aEEG): Dual Use of Brain Monitoring Techniques Improves Our Understanding of Physiology , 2020, Frontiers in Pediatrics.
[12] Qianqian Fang,et al. Graphics processing unit-accelerated mesh-based Monte Carlo photon transport simulations , 2019, Journal of biomedical optics.
[13] Catie Chang,et al. Sympathetic activity contributes to the fMRI signal , 2019, Communications Biology.
[14] Sabrina Brigadoi,et al. Recommendations for motion correction of infant fNIRS data applicable to multiple data sets and acquisition systems , 2019, NeuroImage.
[15] H. Ayaz,et al. Investigation of the source‐detector separation in near infrared spectroscopy for healthy and clinical applications , 2019, Journal of biophotonics.
[16] Joseph P Culver,et al. High-density diffuse optical tomography for imaging human brain function , 2019, The Review of scientific instruments.
[17] David A. Boas,et al. Development of a Wearable fNIRS System Using Modular Electronic Optodes for Scalability , 2019, Biophotonics Congress: Optics in the Life Sciences Congress 2019 (BODA,BRAIN,NTM,OMA,OMP).
[18] Xuetong Zhai,et al. Investigation of the sensitivity-specificity of canonical- and deconvolution-based linear models in evoked functional near-infrared spectroscopy , 2019, Neurophotonics.
[19] Antonio Pifferi,et al. Solid phantom recipe for diffuse optics in biophotonics applications: a step towards anatomically correct 3D tissue phantoms. , 2019, Biomedical optics express.
[20] B. Onaral,et al. A Systematic Review of Integrated Functional Near-Infrared Spectroscopy (fNIRS) and Transcranial Magnetic Stimulation (TMS) Studies , 2019, Front. Neurosci..
[21] Ilias Tachtsidis,et al. Current Status and Issues Regarding Pre-processing of fNIRS Neuroimaging Data: An Investigation of Diverse Signal Filtering Methods Within a General Linear Model Framework , 2019, Front. Hum. Neurosci..
[22] Eric E. Smith,et al. Vascular dysfunction—The disregarded partner of Alzheimer's disease , 2019, Alzheimer's & Dementia.
[23] Hasan Ayaz,et al. NEUROERGONOMICS , 2021, Handbook of Human Factors and Ergonomics.
[24] C. Grova,et al. Optimal positioning of optodes on the scalp for personalized functional near-infrared spectroscopy investigations , 2018, Journal of Neuroscience Methods.
[25] C. Caballero-Gaudes,et al. Effect of prewhitening in resting-state functional near-infrared spectroscopy data. , 2018, Neurophotonics.
[26] Kirstie J. Whitaker,et al. Raincloud plots: a multi-platform tool for robust data visualization , 2018, PeerJ Prepr..
[27] J. Hirsch,et al. The present and future use of functional near‐infrared spectroscopy (fNIRS) for cognitive neuroscience , 2018, Annals of the New York Academy of Sciences.
[28] Ilias Tachtsidis,et al. A Review on the Use of Wearable Functional Near-Infrared Spectroscopy in Naturalistic Environments. , 2018, The Japanese psychological research.
[29] Matteo Fischetti,et al. Array Designer: automated optimized array design for functional near-infrared spectroscopy , 2018, Neurophotonics.
[30] Xuetong Zhai,et al. The NIRS Brain AnalyzIR Toolbox , 2018, Algorithms.
[31] Tao Zhang,et al. Fast noninvasive functional diffuse optical tomography for brain imaging , 2018, Journal of biophotonics.
[32] Robert J Cooper,et al. Review of recent progress toward a fiberless, whole-scalp diffuse optical tomography system , 2017, Neurophotonics.
[33] João Ricardo Sato,et al. Non-neuronal evoked and spontaneous hemodynamic changes in the anterior temporal region of the human head may lead to misinterpretations of functional near-infrared spectroscopy signals , 2017, Neurophotonics.
[34] Meryem A Yücel,et al. Motion artifact detection and correction in functional near-infrared spectroscopy: a new hybrid method based on spline interpolation method and Savitzky–Golay filtering , 2018, Neurophotonics.
[35] Meryem A Yücel,et al. Functional Near Infrared Spectroscopy: Enabling Routine Functional Brain Imaging. , 2017, Current opinion in biomedical engineering.
[36] M. Chello,et al. Near-infrared spectroscopy in adult cardiac surgery: between conflicting results and unexpected uses , 2017, Journal of geriatric cardiology : JGC.
[37] Lei Wang,et al. Evaluation of light detector surface area for functional Near Infrared Spectroscopy , 2017, Comput. Biol. Medicine.
[38] Ann-Christine Ehlis,et al. The Temporal Muscle of the Head Can Cause Artifacts in Optical Imaging Studies with Functional Near-Infrared Spectroscopy , 2017, Front. Hum. Neurosci..
[39] F. Scholkmann,et al. Continuous coloured light altered human brain haemodynamics and oxygenation assessed by systemic physiology augmented functional near-infrared spectroscopy , 2017, Scientific Reports.
[40] Filippo Zappasodi,et al. Simultaneous functional near-infrared spectroscopy and electroencephalography for monitoring of human brain activity and oxygenation: a review , 2017, Neurophotonics.
[41] Adam T. Eggebrecht,et al. Mapping effective connectivity within cortical networks with diffuse optical tomography , 2017, Neurophotonics.
[42] Heidrun Wabnitz,et al. M3BA: A Mobile, Modular, Multimodal Biosignal Acquisition Architecture for Miniaturized EEG-NIRS-Based Hybrid BCI and Monitoring , 2017, IEEE Transactions on Biomedical Engineering.
[43] T. Austin,et al. Diffuse optical tomography to investigate the newborn brain , 2017, Pediatric Research.
[44] Ardalan Aarabi,et al. Characterization and correction of the false-discovery rates in resting state connectivity using functional near-infrared spectroscopy , 2017, Journal of biomedical optics.
[45] Thomas T. Liu,et al. The global signal in fMRI: Nuisance or Information? , 2017, NeuroImage.
[46] Yukari Tanikawa,et al. Design and fabrication of a multi-layered solid dynamic phantom: validation platform on methods for reducing scalp-hemodynamic effect from fNIRS signal , 2017, BiOS.
[47] Matthew Caldwell,et al. Modelling confounding effects from extracerebral contamination and systemic factors on functional near-infrared spectroscopy , 2016, NeuroImage.
[48] Tsuyoshi Araki,et al. Detection of resting state functional connectivity using partial correlation analysis: A study using multi-distance and whole-head probe near-infrared spectroscopy , 2016, NeuroImage.
[49] Gemma Bale,et al. From Jöbsis to the present day: a review of clinical near-infrared spectroscopy measurements of cerebral cytochrome-c-oxidase , 2016, Journal of biomedical optics.
[50] Meryem A Yücel,et al. Mayer waves reduce the accuracy of estimated hemodynamic response functions in functional near-infrared spectroscopy. , 2016, Biomedical optics express.
[51] M Wolf,et al. Comparison of tissue oximeters on a liquid phantom with adjustable optical properties. , 2016, Biomedical optics express.
[52] Satrajit S. Ghosh,et al. The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments , 2016, Scientific Data.
[53] G. Flandin,et al. Sensor space group analysis for fNIRS data , 2016, Journal of Neuroscience Methods.
[54] Nicolas von Ellenrieder,et al. Hemodynamic Response to Interictal Epileptiform Discharges Addressed by Personalized EEG-fNIRS Recordings , 2016, Front. Neurosci..
[55] Ilias Tachtsidis,et al. False positives and false negatives in functional near-infrared spectroscopy: issues, challenges, and the way forward , 2016, Neurophotonics.
[56] Dang Khoa Nguyen,et al. Multichannel continuous electroencephalography-functional near-infrared spectroscopy recording of focal seizures and interictal epileptiform discharges in human epilepsy: a review , 2016, Neurophotonics.
[57] Adrian Letchford,et al. The advantage of simple paper abstracts , 2016, J. Informetrics.
[58] Theodore J Huppert,et al. Commentary on the statistical properties of noise and its implication on general linear models in functional near-infrared spectroscopy. , 2016, Neurophotonics.
[59] Obert,et al. Functional imaging of the human brain using a modular , fibre-less , high-density diffuse optical tomography system , 2016 .
[60] Andrea Bergmann,et al. Statistical Parametric Mapping The Analysis Of Functional Brain Images , 2016 .
[61] Alessandro Torricelli,et al. Mechanically switchable solid inhomogeneous phantom for performance tests in diffuse imaging and spectroscopy , 2015, Journal of biomedical optics.
[62] Dominic Heger,et al. Toward a Wireless Open Source Instrument: Functional Near-infrared Spectroscopy in Mobile Neuroergonomics and BCI Applications , 2015, Front. Hum. Neurosci..
[63] Zhongxing Zhang,et al. A Biphasic Change of Regional Blood Volume in the Frontal Cortex during Non-Rapid Eye Movement Sleep: A Near-Infrared Spectroscopy Study. , 2015, Sleep.
[64] Jonn Terje Geitung,et al. Quality Management in the Imaging Sciences , 2015 .
[65] M. Balconi,et al. What hemodynamic (fNIRS), electrophysiological (EEG) and autonomic integrated measures can tell us about emotional processing , 2015, Brain and Cognition.
[66] Sabrina Brigadoi,et al. How short is short? Optimum source–detector distance for short-separation channels in functional near-infrared spectroscopy , 2015, Neurophotonics.
[67] David A. Boas,et al. Anatomical guidance for functional near-infrared spectroscopy: AtlasViewer tutorial , 2015, Neurophotonics.
[68] Eiju Watanabe,et al. Determination of epileptic focus side in mesial temporal lobe epilepsy using long-term noninvasive fNIRS/EEG monitoring for presurgical evaluation , 2015, Neurophotonics.
[69] V. Garovic,et al. Beyond Bar and Line Graphs: Time for a New Data Presentation Paradigm , 2015, PLoS biology.
[70] Eiju Watanabe,et al. Exploring effective multiplicity in multichannel functional near-infrared spectroscopy using eigenvalues of correlation matrices , 2015, Neurophotonics.
[71] Simon R. Arridge,et al. A 4D neonatal head model for diffuse optical imaging of pre-term to term infants , 2014, NeuroImage.
[72] Masashi Kiguchi,et al. Greater contribution of cerebral than extracerebral hemodynamics to near-infrared spectroscopy signals for functional activation and resting-state connectivity in infants , 2014, Neurophotonics.
[73] Davide Contini,et al. Performance assessment of time-domain optical brain imagers, part 2: nEUROPt protocol. , 2014, Journal of biomedical optics.
[74] Davide Contini,et al. Performance assessment of time-domain optical brain imagers, part 1: basic instrumental performance protocol. , 2014, Journal of biomedical optics.
[75] Mahlega S. Hassanpour,et al. Mapping distributed brain function and networks with diffuse optical tomography , 2014, Nature Photonics.
[76] Martin Schweiger,et al. The Toast++ software suite for forward and inverse modeling in optical tomography , 2014, Journal of biomedical optics.
[77] Venkataramanan Krishnaswamy,et al. Anthropomorphic breast phantoms with physiological water, lipid, and hemoglobin content for near-infrared spectral tomography , 2014, Journal of biomedical optics.
[78] Odile Marcotte,et al. Optimal optode montage on electroencephalography/functional near-infrared spectroscopy caps dedicated to study epileptic discharges , 2014, Journal of biomedical optics.
[79] Stefan A. Carp,et al. Somatosensory evoked changes in cerebral oxygen consumption measured non-invasively in premature neonates , 2014, NeuroImage.
[80] David A. Boas,et al. Twenty years of functional near-infrared spectroscopy: introduction for the special issue , 2014, NeuroImage.
[81] Abraham Z. Snyder,et al. Atlas-based head modeling and spatial normalization for high-density diffuse optical tomography: In vivo validation against fMRI , 2014, NeuroImage.
[82] Martin Wolf,et al. A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology , 2014, NeuroImage.
[83] Ippeita Dan,et al. Spatial registration for functional near-infrared spectroscopy: From channel position on the scalp to cortical location in individual and group analyses , 2014, NeuroImage.
[84] David A. Boas,et al. Reducing motion artifacts for long-term clinical NIRS monitoring using collodion-fixed prism-based optical fibers , 2014, NeuroImage.
[85] David A. Boas,et al. Motion artifacts in functional near-infrared spectroscopy: A comparison of motion correction techniques applied to real cognitive data , 2014, NeuroImage.
[86] Davide Contini,et al. Time domain functional NIRS imaging for human brain mapping , 2014, NeuroImage.
[87] T S Leung,et al. Effect of blood in the cerebrospinal fluid on the accuracy of cerebral oxygenation measured by near infrared spectroscopy. , 2014, Advances in experimental medicine and biology.
[88] Maria J Grant,et al. What makes a good title? , 2013, Health information and libraries journal.
[89] Martin Wolf,et al. General equation for the differential pathlength factor of the frontal human head depending on wavelength and age , 2013, Journal of biomedical optics.
[90] Ardalan Aarabi,et al. Autoregressive model based algorithm for correcting motion and serially correlated errors in fNIRS. , 2013, Biomedical optics express.
[91] Martin Wolf,et al. End-tidal CO2: An important parameter for a correct interpretation in functional brain studies using speech tasks , 2013, NeuroImage.
[92] Marco Ferrari,et al. A brief review on the history of human functional near-infrared spectroscopy (fNIRS) development and fields of application , 2012, NeuroImage.
[93] David A. Boas,et al. Validating atlas-guided DOT: A comparison of diffuse optical tomography informed by atlas and subject-specific anatomies , 2012, NeuroImage.
[94] G. Pfurtscheller,et al. Coupling between Intrinsic Prefrontal HbO2 and Central EEG Beta Power Oscillations in the Resting Brain , 2012, PloS one.
[95] Hamid Dehghani,et al. Image Quality Analysis of High-Density Diffuse Optical Tomography Incorporating a Subject-Specific Head Model , 2012, Front. Neuroenerg..
[96] Qianqian Fang,et al. Quantitative assessment of diffuse optical tomography sensitivity to the cerebral cortex using a whole-head probe. , 2012, Physics in medicine and biology.
[97] Heidrun Wabnitz,et al. The physiological origin of task-evoked systemic artefacts in functional near infrared spectroscopy , 2012, NeuroImage.
[98] F. Wallois,et al. Usefulness of simultaneous EEG–NIRS recording in language studies , 2012, Brain and Language.
[99] C. Paiva,et al. Articles with short titles describing the results are cited more often , 2012, Clinics.
[100] Eiji Okada,et al. Dynamic phantom with two stage-driven absorbers for mimicking hemoglobin changes in superficial and deep tissues. , 2012, Journal of biomedical optics.
[101] Christa Neuper,et al. Does conscious intention to perform a motor act depend on slow prefrontal (de)oxyhemoglobin oscillations in the resting brain? , 2012, Neuroscience Letters.
[102] R. L. Barbour,et al. A Programmable Laboratory Testbed in Support of Evaluation of Functional Brain Activation and Connectivity , 2012, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[103] Klaus-Robert Müller,et al. Enhanced Performance by a Hybrid Nirs–eeg Brain Computer Interface , 2022 .
[104] Kp Suresh,et al. Sample size estimation and power analysis for clinical research studies , 2012, Journal of human reproductive sciences.
[105] R. Ilmoniemi,et al. Spontaneous Hemodynamic Oscillations during Human Sleep and Sleep Stage Transitions Characterized with Near-Infrared Spectroscopy , 2011, PloS one.
[106] Yunjie Tong,et al. An improved method for mapping cerebrovascular reserve using concurrent fMRI and near-infrared spectroscopy with Regressor Interpolation at Progressive Time Delays (RIPTiDe) , 2011, NeuroImage.
[107] David A. Boas,et al. Improved recovery of the hemodynamic response in diffuse optical imaging using short optode separations and state-space modeling , 2011, NeuroImage.
[108] Shuntaro Sasai,et al. Frequency-specific functional connectivity in the brain during resting state revealed by NIRS , 2011, NeuroImage.
[109] R. Aslin,et al. Developmental Cognitive Neuroscience Near-infrared Spectroscopy: a Report from the Mcdonnell Infant Methodology Consortium , 2022 .
[110] Daniele Fanelli,et al. Negative results are disappearing from most disciplines and countries , 2011, Scientometrics.
[111] F. Wallois,et al. EEG-NIRS in epilepsy in children and neonates , 2010, Neurophysiologie Clinique/Clinical Neurophysiology.
[112] Yunjie Tong,et al. Time lag dependent multimodal processing of concurrent fMRI and near-infrared spectroscopy (NIRS) data suggests a global circulatory origin for low-frequency oscillation signals in human brain , 2010, NeuroImage.
[113] Sungho Tak,et al. Quantification of CMRO2 without hypercapnia using simultaneous near-infrared spectroscopy and fMRI measurements , 2010, Physics in medicine and biology.
[114] Joseph P Culver,et al. Quantitative evaluation of high-density diffuse optical tomography: in vivo resolution and mapping performance. , 2010, Journal of biomedical optics.
[115] M. Wolf,et al. Nocturnal cerebral hemodynamics in snorers and in patients with obstructive sleep apnea: a near-infrared spectroscopy study. , 2010, Sleep.
[116] W. Eric L. Grimson,et al. Anatomical atlas-guided diffuse optical tomography of brain activation , 2009, NeuroImage.
[117] H. Obrig,et al. Time-resolved near-infrared spectroscopy and imaging of the adult human brain. , 2010, Advances in experimental medicine and biology.
[118] David A Boas,et al. Monte Carlo simulation of photon migration in 3D turbid media accelerated by graphics processing units. , 2009, Optics express.
[119] Jeff H. Duyn,et al. Characterization of regional heterogeneity in cerebrovascular reactivity dynamics using novel hypocapnia task and BOLD fMRI , 2009, NeuroImage.
[120] David A. Boas,et al. Study of neurovascular coupling in humans via simultaneous magnetoencephalography and diffuse optical imaging acquisition , 2009, NeuroImage.
[121] Hamid Dehghani,et al. Depth sensitivity and image reconstruction analysis of dense imaging arrays for mapping brain function with diffuse optical tomography. , 2009, Applied optics.
[122] Martin A. Lindquist,et al. Modeling the hemodynamic response function in fMRI: Efficiency, bias and mis-modeling , 2009, NeuroImage.
[123] Sungho Tak,et al. NIRS-SPM: Statistical parametric mapping for near-infrared spectroscopy , 2009, NeuroImage.
[124] Hamid Dehghani,et al. Near infrared optical tomography using NIRFAST: Algorithm for numerical model and image reconstruction. , 2009, Communications in numerical methods in engineering.
[125] Monica Fabiani,et al. Validation of a method for coregistering scalp recording locations with 3D structural MR images , 2008, Human brain mapping.
[126] C. Grova,et al. Non-invasive pre-surgical investigation of a 10 year-old epileptic boy using simultaneous EEG–NIRS , 2008, Seizure.
[127] David A Boas,et al. Direct estimation of evoked hemoglobin changes by multimodality fusion imaging. , 2008, Journal of biomedical optics.
[128] R. Saager,et al. Measurement of layer-like hemodynamic trends in scalp and cortex: implications for physiological baseline suppression in functional near-infrared spectroscopy. , 2008, Journal of biomedical optics.
[129] Bülent Sankur,et al. Multilevel Statistical Inference From Functional Near-Infrared Spectroscopy Data During Stroop Interference , 2008, IEEE Transactions on Biomedical Engineering.
[130] David T Delpy,et al. Investigation of frontal cortex, motor cortex and systemic haemodynamic changes during anagram solving. , 2008, Advances in experimental medicine and biology.
[131] Archana K. Singh,et al. Exploring the false discovery rate in multichannel NIRS , 2006, NeuroImage.
[132] Ann-Christine Ehlis,et al. Event-related functional near-infrared spectroscopy (fNIRS): Are the measurements reliable? , 2006, NeuroImage.
[133] David A. Boas,et al. A temporal comparison of BOLD, ASL, and NIRS hemodynamic responses to motor stimuli in adult humans , 2006, NeuroImage.
[134] Archana K. Singh,et al. Spatial registration of multichannel multi-subject fNIRS data to MNI space without MRI , 2005, NeuroImage.
[135] R. Saager,et al. Direct characterization and removal of interfering absorption trends in two-layer turbid media. , 2005, Journal of the Optical Society of America. A, Optics, image science, and vision.
[136] Archana K. Singh,et al. Virtual 10–20 measurement on MR images for inter-modal linking of transcranial and tomographic neuroimaging methods , 2005, NeuroImage.
[137] David A Boas,et al. Simulation study of magnetic resonance imaging-guided cortically constrained diffuse optical tomography of human brain function. , 2005, Applied optics.
[138] Alessandro Torricelli,et al. Performance assessment of photon migration instruments: the MEDPHOT protocol. , 2004, Applied optics.
[139] A. Sorensen,et al. Improved sensitivity to cerebral hemodynamics during brain activation with a time-gated optical system: analytical model and experimental validation. , 2005, Journal of biomedical optics.
[140] T. Groves,et al. Screening research papers by reading abstracts , 2004, BMJ : British Medical Journal.
[141] G. Sarychev,et al. Prophylactic UV Radiation and CIE Standard on Photobiological Safety of Lamps and Lamp Systems , 2004 .
[142] J. Detre,et al. Diffuse optical measurement of blood flow, blood oxygenation, and metabolism in a human brain during sensorimotor cortex activation. , 2004, Optics letters.
[143] C. Iadecola. Neurovascular regulation in the normal brain and in Alzheimer's disease , 2004, Nature Reviews Neuroscience.
[144] Egill Rostrup,et al. Cerebral hemodynamics measured with simultaneous PET and near-infrared spectroscopy in humans , 2002, Brain Research.
[145] David A. Boas,et al. A Quantitative Comparison of Simultaneous BOLD fMRI and NIRS Recordings during Functional Brain Activation , 2002, NeuroImage.
[146] A. Hielscher,et al. Three-dimensional optical tomography of hemodynamics in the human head. , 2001, Optics express.
[147] H. Leclet. [Quality management in imaging]. , 2001, Journal de radiologie.
[148] E. Gratton,et al. Investigation of human brain hemodynamics by simultaneous near-infrared spectroscopy and functional magnetic resonance imaging. , 2001, Medical physics.
[149] E. Watanabe,et al. Noninvasive cerebral blood volume measurement during seizures using multichannel near infrared spectroscopic topography. , 1998, Journal of biomedical optics.
[150] M. Ferrari,et al. Noninvasive measurement of cerebral hemoglobin oxygen saturation using two near infrared spectroscopy approaches. , 2000, Journal of biomedical optics.
[151] H. Yonas,et al. Noninvasive Continuous Monitoring of Cerebral Oxygenation Periictally Using Near‐Infrared Spectroscopy: A Preliminary Report , 1999, Epilepsia.
[152] Yukio Kobayashi,et al. Tissue oxygenation monitor using NIR spatially resolved spectroscopy , 1999, Photonics West - Biomedical Optics.
[153] E. Gratton,et al. Non-invasive optical monitoring of the newborn piglet brain using continuous-wave and frequency-domain spectroscopy. , 1999, Physics in medicine and biology.
[154] E Gratton,et al. Influence of a superficial layer in the quantitative spectroscopic study of strongly scattering media. , 1998, Applied optics.
[155] A. Villringer,et al. Assessment of local brain activation. A simultaneous PET and near-infrared spectroscopy study. , 1997, Advances in experimental medicine and biology.
[156] E. Watanabe,et al. Spatial and temporal analysis of human motor activity using noninvasive NIR topography. , 1995, Medical physics.
[157] B. Biswal,et al. Functional connectivity in the motor cortex of resting human brain using echo‐planar mri , 1995, Magnetic resonance in medicine.
[158] Karl J. Friston,et al. Analysis of fMRI Time-Series Revisited—Again , 1995, NeuroImage.
[159] Steven J. Matcher,et al. Absolute quantification methods in tissue near-infrared spectroscopy , 1995, Photonics West.
[160] D. Delpy,et al. Optical pathlength measurements on adult head, calf and forearm and the head of the newborn infant using phase resolved optical spectroscopy. , 1995, Physics in medicine and biology.
[161] M. Copet,et al. A Monte Carlo investigation of optical pathlength in inhomogeneous tissue and its application to near-infrared spectroscopy , 1993 .
[162] S. Arridge,et al. Experimentally measured optical pathlengths for the adult head, calf and forearm and the head of the newborn infant as a function of inter optode spacing. , 1992, Advances in experimental medicine and biology.
[163] S. Arridge,et al. Estimation of optical pathlength through tissue from direct time of flight measurement. , 1988, Physics in medicine and biology.
[164] G. A. Young,et al. The bootstrap: To smooth or not to smooth? , 1987 .
[165] F. Jöbsis. Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters. , 1977, Science.