Neonatal brain resting-state functional connectivity imaging modalities

Friston, 1993, Functional connectivity: the principal-component analysis of large (PET) data sets, J. Cereb. Blood Flow Metab., 13, 5, 10.1038/jcbfm.1993.4 Aslin, 2015, Hemodynamic correlates of cognition in human infants, Annu. Rev. Psychol., 66, 349, 10.1146/annurev-psych-010213-115108 Smyser, 2011, Functional connectivity MRI in infants: exploration of the functional organization of the developing brain, Neuroimage, 56, 1437, 10.1016/j.neuroimage.2011.02.073 Vogel, 2010, Development of the brain’s functional network architecture, Neuropsychol. Rev., 20, 362, 10.1007/s11065-010-9145-7 Smith-Collins, 2015, High frequency functional brain networks in neonates revealed by rapid acquisition resting state fMRI, Hum. Brain Mapp., 36, 2483, 10.1002/hbm.22786 Biswal, 1995, Functional connectivity in the motor cortex of resting human brain using echo-planar mri, Magn. Reson. Med., 34, 537, 10.1002/mrm.1910340409 Cole, 2010, Advances and pitfalls in the analysis and interpretation of resting-state FMRI data, Front. Syst. Neurosci., 4, 8 Biswal, 2010, Toward discovery science of human brain function, Proc. Natl. Acad. Sci., 107, 4734, 10.1073/pnas.0911855107 Buckner, 2008, The brain’s default network: anatomy, function, and relevance to disease, Ann. N. Y. Acad. Sci., 1124, 1, 10.1196/annals.1440.011 Fransson, 2007, Resting-state networks in the infant brain, Proc. Natl. Acad. Sci. U. S. A., 104, 15531, 10.1073/pnas.0704380104 Doria, 2010, Emergence of resting state networks in the preterm human brain, Proc. Natl. Acad. Sci., 107, 20015, 10.1073/pnas.1007921107 Lee, 2013, The development of regional functional connectivity in preterm infants into early childhood, Neuroradiology, 55, 2013, 10.1007/s00234-013-1232-z Smyser, 2010, Longitudinal analysis of neural network development in preterm infants, Cereb. Cortex, 20, 2852, 10.1093/cercor/bhq035 Baldoli, 2014, Maturation of preterm newborn brains: a fMRI-DTI study of auditory processing of linguistic stimuli and white matter development, Brain Struct. Funct., 220, 3733, 10.1007/s00429-014-0887-5 Satterthwaite, 2015, Linked sex differences in cognition and functional connectivity in youth, Cereb. Cortex, 25, 2383, 10.1093/cercor/bhu036 Thomason, 2011, Resting-state fMRI can reliably map neural networks in children, Neuroimage, 55, 165, 10.1016/j.neuroimage.2010.11.080 Thomason, 2013, Cross-hemispheric functional connectivity in the human fetal brain, Sci. Transl. Med., 24 van den Heuvel, 2016, Functional connectivity of the human brain in utero, Trends Cognit. Sci., xx, 1 Redcay, 2013, Intrinsic functional network organization in high-functioning adolescents with autism spectrum disorder, Front. Hum. Neurosci., 7, 10.3389/fnhum.2013.00573 Posner, 2014, Connecting the dots: a review of resting connectivity MRI studies in attention-deficit/hyperactivity disorder, Neuropsychol. Rev., 24, 3, 10.1007/s11065-014-9251-z Greene, 2015, Reward enhances tic suppression in children within months of tic disorder onset, Dev. Cognit. Neurosci., 11, 65, 10.1016/j.dcn.2014.08.005 Mohammadi-Nejad, 2017, Structured and sparse canonical correlation analysis as a brain-wide multi-modal data fusion approach, IEEE Trans. Med. Imaging, 36, 1438, 10.1109/TMI.2017.2681966 Greicius, 2008, Resting-state functional connectivity in neuropsychiatric disorders, Curr. Opin. Neurol., 21, 424, 10.1097/WCO.0b013e328306f2c5 Watanabe, 1999, Neonatal EEG: a powerful tool in the assessment of brain damage in preterm infants, Brain Dev., 21, 361, 10.1016/S0387-7604(99)00034-0 Samson-Dollfus, 1989, Choice of the feference for EEG mapping in the newborn: an initial comparison of common nose reference, average and source derivation, Brain Topogr., 2, 165, 10.1007/BF01128853 Okada, 2006, BabySQUID. A mobile, high-resolution multichannel magnetoencephalography system for neonatal brain assessment, Rev. Sci. Instrum., 77, 24301, 10.1063/1.2168672 Chugani, 1998, A critical period of brain development: studies of cerebral glucose utilization with PET, Prev. Med. (Baltim), 27, 184, 10.1006/pmed.1998.0274 Sangild, 1999, Intestinal macromolecule absorption in the fetal pig after infusion of colostrum in utero, J. Pharm. Pharmacol., 45, 595 White, 2012, Bedside optical imaging of occipital resting-state functional connectivity in neonates, Neuroimage, 59, 2529, 10.1016/j.neuroimage.2011.08.094 Song, 2010, Ultrasound-array-based real-time photoacoustic microscopy of human pulsatile dynamics in vivo, J. Biomed. Opt., 15, 21303, 10.1117/1.3333545 Wang, 2012, Photoacoustic tomography in vivo imaging from organelles to organs, Science, 80, 1458, 10.1126/science.1216210 Zhang, 2006, In vivo volumetric imaging of subcutaneous microvasculature by photoacoustic microscopy, Opt. Express, 14, 9317, 10.1364/OE.14.009317 Graves, 1997, The legacy of the Wernicke-Lichtheim model, J. Hist. Neurosci., 6, 3, 10.1080/09647049709525682 Seeley, 2007, Dissociable intrinsic connectivity networks for salience processing and executive control, J. Neurosci., 27, 2349, 10.1523/JNEUROSCI.5587-06.2007 Greicius, 2003, Functional connectivity in the resting brain: a network analysis of the default mode hypothesis, Proc. Natl. Acad. Sci. U. S. A., 100, 253, 10.1073/pnas.0135058100 Pizoli, 2011, Resting-state activity in development and maintenance of normal brain function, Proc. Natl. Acad. Sci. U. S. A., 108, 11638, 10.1073/pnas.1109144108 Tomasi, 2013, Energetic cost of brain functional connectivity, Proc. Natl. Acad. Sci. U. S. A., 110, 13642, 10.1073/pnas.1303346110 Buckner, 2009, Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimer’s disease, J. Neurosci., 29, 1860, 10.1523/JNEUROSCI.5062-08.2009 Vaishnavi, 2010, Regional aerobic glycolysis in the human brain, Proc. Natl. Acad. Sci., 107, 17757, 10.1073/pnas.1010459107 Greicius, 2004, Default-mode network activity distinguishes Alzheimer’s disease from healthy aging: evidence from functional MRI, Proc. Natl. Acad. Sci. U. S. A., 101, 4637, 10.1073/pnas.0308627101 Zuo, 2010, Reliable intrinsic connectivity networks: test-retest evaluation using ICA and dual regression approach, Neuroimage, 49, 2163, 10.1016/j.neuroimage.2009.10.080 Larson-Prior, 2009, Cortical network functional connectivity in the descent to sleep, Proc. Natl. Acad. Sci. U. S. A., 106, 4489, 10.1073/pnas.0900924106 Song, 2008, Brain spontaneous functional connectivity and intelligence, Neuroimage, 41, 1168, 10.1016/j.neuroimage.2008.02.036 Beckmann, 2005, Investigations into resting-state connectivity using independent component analysis, Philos. Trans. R. Soc. Lond. B. Biol. Sci., 360, 1001, 10.1098/rstb.2005.1634 Calhoun, 2001, A method for making group inferences from functional MRI data using independent component analysis, Hum. Brain Mapp., 14, 140, 10.1002/hbm.1048 Cordes, 2002, Hierarchical clustering to measure connectivity in fMRI resting-state data, Magn. Reson. Imaging, 20, 305, 10.1016/S0730-725X(02)00503-9 van den Heuvel, 2008, Normalized cut group clustering of resting-state FMRI data, PLoS One, 3, e2001, 10.1371/journal.pone.0002001 Bullmore, 2009, Complex brain networks: graph theoretical analysis of structural and functional systems, Nat. Rev. Neurosci., 10, 186, 10.1038/nrn2575 Cocchi, 2012, Altered functional brain connectivity in a non-clinical sample of young adults with attention-deficit/hyperactivity disorder, J. Neurosci., 32, 17753, 10.1523/JNEUROSCI.3272-12.2012 Telesford, 2013, An exploration of graph metric reproducibility in complex brain networks, Front. Neurosci., 10.3389/fnins.2013.00067 van den Heuvel, 2010, Exploring the brain network: a review on resting-state fMRI functional connectivity, Eur. Neuropsychopharmacol., 20, 519, 10.1016/j.euroneuro.2010.03.008 Rosazza, 2012, Functional connectivity during resting-state functional MR imaging: study of the correspondence between independent component analysis and region-of-interest-based methods, AJNR Am. J. Neuroradiol., 33, 180, 10.3174/ajnr.A2733 Li, 2009, Review of methods for functional brain connectivity detection using fMRI, Comput. Med. Imaging Graph., 33, 131, 10.1016/j.compmedimag.2008.10.011 Ylipaavalniemi, 2008, Analyzing consistency of independent components: an fMRI illustration, Neuroimage, 39, 169, 10.1016/j.neuroimage.2007.08.027 Baliki, 2014, Functional reorganization of the default mode network across chronic pain conditions, PLoS One, 9, 10.1371/journal.pone.0106133 Bernhardt, 2013, Imaging structural and functional brain networks in temporal lobe epilepsy, Front. Hum. Neurosci., 7, 10.3389/fnhum.2013.00624 Ding, 2017, Functional neural networks of honesty and dishonesty in children: evidence from graph theory analysis, Sci. Rep., 7, 10.1038/s41598-017-11754-4 Bortoletto, 2015, The contribution of TMS-EEG coregistration in the exploration of the human cortical connectome, Neurosci. Biobehav. Rev., 49, 114, 10.1016/j.neubiorev.2014.12.014 Fujita, 2012, Functional clustering of time series gene expression data by Granger causality, BMC Syst. Biol., 6, 137, 10.1186/1752-0509-6-137 Power, 2011, Functional network organization of the human brain, Neuron, 72, 665, 10.1016/j.neuron.2011.09.006 Behrens, 2012, Human connectomics, Curr. Opin. Neurobiol., 22, 144, 10.1016/j.conb.2011.08.005 Salvador, 2005, Neurophysiological architecture of functional magnetic resonance images of human brain, Cereb. Cortex, 15, 1332, 10.1093/cercor/bhi016 van den Heuvel, 2008, Small-world and scale-free organization of voxel-based resting-state functional connectivity in the human brain, Neuroimage, 43, 528, 10.1016/j.neuroimage.2008.08.010 van den Heuvel, 2009, H.E. Hulshoff Pol, Functionally linked resting-state networks reflect the underlying structural connectivity architecture of the human brain, Hum. Brain Mapp., 30, 3127, 10.1002/hbm.20737 Golland, 2008, Data-driven clustering reveals a fundamental subdivision of the human cortex into two global systems, Neuropsychologia, 46, 540, 10.1016/j.neuropsychologia.2007.10.003 Lee, 2012, Clustering of resting state networks, PLoS One, 7, e40370, 10.1371/journal.pone.0040370 Bellec, 2010, Multi-level bootstrap analysis of stable clusters in resting-state fMRI, Neuroimage, 51, 1126, 10.1016/j.neuroimage.2010.02.082 Friston, 1998, Event-related fMRI: characterizing differential responses, Neuroimage, 7, 30, 10.1006/nimg.1997.0306 Ogawa, 1990, Oxygenation-sensitive contrast in magnetic resonance image of rodent brain at high magnetic fields, Magn. Reson. Med., 14, 68, 10.1002/mrm.1910140108 Doria, 2010, Emergence of resting state networks in the preterm human brain, Proc. Natl. Acad. Sci., 107, 20015, 10.1073/pnas.1007921107 Smyser, 2015, Use of resting-state functional MRI to study brain development and injury in neonates, Semin. Perinatol., 39, 130, 10.1053/j.semperi.2015.01.006 Derntl, 2015, Stress matters! Psychophysiological and emotional loadings of pregnant women undergoing fetal magnetic resonance imaging, BMC Pregnancy Childbirth, 15, 25, 10.1186/s12884-015-0448-9 Brändle, 2015, Heart rate variability parameters and fetal movement complement fetal behavioral states detection via magnetography to monitor neurovegetative development, Front. Hum. Neurosci., 9, 147, 10.3389/fnhum.2015.00147 Victoria, 2014, Fetal magnetic resonance imaging: jumping from 1.5 to 3 tesla (preliminary experience), Pediatr. Radiol., 44, 376, 10.1007/s00247-013-2857-0 Schöpf, 2012, Watching the fetal brain at rest, Int. J. Dev. Neurosci., 30, 11, 10.1016/j.ijdevneu.2011.10.006 Heeger, 2002, What does fmri tell us about neuronal activity?, Nat. Rev. Neurosci., 3, 142, 10.1038/nrn730 Sala-Llonch, 2015, Reorganization of brain networks in aging: a review of functional connectivity studies, Front. Psychol., 6, 10.3389/fpsyg.2015.00663 Anderson, 2013, Functional plasticity before the cradle: a review of neural functional imaging in the human fetus, Neurosci. Biobehav. Rev., 37, 2220, 10.1016/j.neubiorev.2013.03.013 Lin, 2008, Functional connectivity MR imaging reveals cortical functional connectivity in the developing brain, Am. J. Neuroradiol., 29, 1883, 10.3174/ajnr.A1256 Liu, 2008, Functional connectivity of the sensorimotor area in naturally sleeping infants, Brain Res., 1223, 42, 10.1016/j.brainres.2008.05.054 Fransson, 2009, Spontaneous brain activity in the newborn brain during natural sleep—an fMRI study in infants born at full term, Pediatr. Res., 66, 301, 10.1203/PDR.0b013e3181b1bd84 Gao, 2009, Evidence on the emergence of the brain’s default network from 2-week-old to 2-year-old healthy pediatric subjects, Proc. Natl. Acad. Sci., 106, 6790, 10.1073/pnas.0811221106 Smyser, 2016, Resting-state network complexity and magnitude are reduced in prematurely born infants, Cereb. Cortex, 26, 322, 10.1093/cercor/bhu251 Alcauter, 2015, Consistent anterior-posterior segregation of the insula during the first 2 years of life, Cereb. Cortex, 25, 1176, 10.1093/cercor/bht312 Gao, 2015, Functional network development during the first year: relative sequence and socioeconomic correlations, Cereb. Cortex, 25, 2919, 10.1093/cercor/bhu088 Gao, 2016, Functional connectivity of the infant human brain: plastic and modifiable, Neuroscience, 23, 169, 10.1177/1073858416635986 Kwon, 2015, Adaptive mechanisms of developing brain: cerebral lateralization in the prematurely-born, Neuroimage, 108, 144, 10.1016/j.neuroimage.2014.12.032 Graham, 2015, The potential of infant fMRI research and the study of early life stress as a promising exemplar, Dev. Cognit. Neurosci., 12, 12, 10.1016/j.dcn.2014.09.005 Birn, 2013, The effect of scan length on the reliability of resting-state fMRI connectivity estimates, Neuroimage, 83, 550, 10.1016/j.neuroimage.2013.05.099 Laumann, 2017, On the stability of BOLD fMRI correlations, Cereb. Cortex, 27, 4719 Power, 2012, Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion, Neuroimage, 59, 2142, 10.1016/j.neuroimage.2011.10.018 Papadelis, 2014, Cortical somatosensory reorganization in children with spastic cerebral palsy: a multimodal neuroimaging study, Front. Hum. Neurosci., 8, 10.3389/fnhum.2014.00725 Gabard-Durnam, 2014, The development of human amygdala functional connectivity at rest from 4 to 23years: a cross-sectional study, Neuroimage, 95, 193, 10.1016/j.neuroimage.2014.03.038 Tottenham, 2012, Amygdala response to mother, Dev. Sci., 15, 307, 10.1111/j.1467-7687.2011.01128.x Souweidane, 1999, Brain mapping in sedated infants and young children with passive-functional magnetic resonance imaging, Pediatr. Neurosurg., 30, 86, 10.1159/000028768 Yamada, 1997, A rapid brain metabolic change in infants detected by fMRI, Neuroreport, 8, 3775, 10.1097/00001756-199712010-00024 Redcay, 2007, fMRI during natural sleep as a method to study brain function during early childhood, Neuroimage, 38, 696, 10.1016/j.neuroimage.2007.08.005 Horovitz, 2008, Low frequency BOLD fluctuations during resting wakefulness and light sleep: a simultaneous EEG-fMRI study, Hum. Brain Mapp., 29, 671, 10.1002/hbm.20428 Samann, 2011, Development of the brain’s default mode network from wakefulness to slow wave sleep, Cereb. Cortex, 21, 2082, 10.1093/cercor/bhq295 Boly, 2012, Hierarchical clustering of brain activity during human nonrapid eye movement sleep, Proc. Natl. Acad. Sci., 109, 5856, 10.1073/pnas.1111133109 Czisch, 2002, Altered processing of acoustic stimuli during sleep: reduced auditory activation and visual deactivation detected by a combined fMRI/EEG study, Neuroimage, 16, 251, 10.1006/nimg.2002.1071 Tagliazucchi, 2012, Automatic sleep staging using fMRI functional connectivity data, Neuroimage, 63, 63, 10.1016/j.neuroimage.2012.06.036 Barnes, 2016, Electrophysiological measures of resting state functional connectivity and their relationship with working memory capacity in childhood, Dev. Sci., 19, 19, 10.1111/desc.12297 Bosl, 2011, EEG complexity as a biomarker for autism spectrum disorder risk, BMC Med., 9, 18, 10.1186/1741-7015-9-18 Tierney, 2012, Developmental trajectories of resting eeg power: an endophenotype of autism spectrum disorder, PLoS One, 7, 10.1371/journal.pone.0039127 Orekhova, 2014, EEG hyper-connectivity in high-risk infants is associated with later autism, J. Neurodev. Disord., 6, 40, 10.1186/1866-1955-6-40 Velarde-reyes, 2011, 1 Palliser, 2016, Prenatal and postnatal determinants of development, Neuromethods, 109, 221, 10.1007/978-1-4939-3014-2_11 Papadelis, 2015, Editorial on emerging neuroimaging tools for studying normal and abnormal human brain development, Front. Hum. Neurosci., 9, 2013, 10.3389/fnhum.2015.00127 Cohen, 2009, Magnetoencephalography, 615 Alhourani, 2016, Magnetoencephalography-based identification of functional connectivity network disruption following mild traumatic brain injury, J. Neurophysiol., 116, 1840, 10.1152/jn.00513.2016 Treder, 2016, The LDA beamformer: optimal estimation of ERP source time series using linear discriminant analysis, Neuroimage, 129, 279, 10.1016/j.neuroimage.2016.01.019 Pang, 2016, From structure to circuits: the contribution of MEG connectivity studies to functional neurosurgery, Front. Neuroanat., 10, 10.3389/fnana.2016.00067 Papadelis, 2013, Current and emerging potential for magnetoencephalography in pediatric epilepsy, J. Pediatr. Epilepsy, 2, 73 Barth, 1986, Magnetic localization of a dipolar current source implanted in a sphere and a human cranium, Electroencephalogr. Clin. Neurophysiol., 63, 260, 10.1016/0013-4694(86)90094-5 Lew, 2013, Effects of sutures and fontanels on MEG and EEG source analysis in a realistic infant head model, Neuroimage, 76, 282, 10.1016/j.neuroimage.2013.03.017 Hari, 2015, The brain timewise: how timing shapes and supports brain function, Philos. Trans. R. Soc. B Biol. Sci., 370, 10.1098/rstb.2014.0170 Papadelis, 2009, MEG’s ability to localise accurately weak transient neural sources, Clin. Neurophysiol., 120, 1958, 10.1016/j.clinph.2009.08.018 Papadelis, 2007, Phantom study supports claim of accurate localization from MEG data, Int. J. Bioelectromagn., 9, 163 Hämäläinen, 1993, Magnetoencephalography—theory, instrumentation, and applications to noninvasive studies of the working human brain, Rev. Mod. Phys., 65, 413, 10.1103/RevModPhys.65.413 Roberts, 2014, Artemis 123: development of a whole-head infant and young child MEG system, Front. Hum. Neurosci., 8, 99, 10.3389/fnhum.2014.00099 Baker, 2014, Fast transient networks in spontaneous human brain activity, Elife, 3, 1, 10.7554/eLife.01867 Cheour, 2004, Magnetoencephalography is feasible for infant assessment of auditory discrimination, Exp. Neurol., 190, 44, 10.1016/j.expneurol.2004.06.030 Matuz, 2012, Habituation of visual evoked responses in neonates and fetuses: a MEG study, Dev. Cogn. Neurosci., 2, 303, 10.1016/j.dcn.2012.03.001 Gaetz, 2008, Magnetoencephalography for clinical pediatrics: the effect of head positioning on measurement of somatosensory-evoked fields, Clin. Neurophysiol., 119, 1923, 10.1016/j.clinph.2008.04.291 Johnson, 2010, Measurement of brain function in pre-school children using a custom sized whole-head MEG sensor array, Clin. Neurophysiol., 121, 340, 10.1016/j.clinph.2009.10.017 Kikuchi, 2011, Lateralized theta wave connectivity and language performance in 2- to 5-year-old children, J. Neurosci., 31, 14984, 10.1523/JNEUROSCI.2785-11.2011 Yoshimura, 2013, The brain’s response to the human voice depends on the incidence of autistic traits in the general population, PLoS One, 8, e80126, 10.1371/journal.pone.0080126 Boersma, 2013, Resting-State oscillatory activity in children born small for gestational age: an MEG study, Front. Hum. Neurosci., 7, 600, 10.3389/fnhum.2013.00600 Sanjuan, 2016, Association between theta power in 6-month old infants at rest and maternal PTSD severity: a pilot study, Neurosci. Lett., 630, 120, 10.1016/j.neulet.2016.07.048 de Paula Faria, 2014, PET imaging in multiple sclerosis, J. Neuroimmune Pharmacol., 9, 468, 10.1007/s11481-014-9544-2 Kannan, 2010, Applications of positron emission tomography in the newborn nursery, Semin. Perinatol., 34, 39, 10.1053/j.semperi.2009.10.004 Savio, 2017, Resting-state networks as simultaneously measured with functional MRI and PET, J. Nucl. Med., 58, 1314, 10.2967/jnumed.116.185835 Fang, 2016, Topological organization of metabolic brain networks in pre-chemotherapy cancer with depression: a resting-state PET study, PLoS One, 11, 10.1371/journal.pone.0166049 Toussaint, 2012, Resting state FDG-PET functional connectivity as an early biomarker of Alzheimer’s disease using conjoint univariate and independent component analyses, Neuroimage, 63, 936, 10.1016/j.neuroimage.2012.03.091 Thorngren-Jerneck, 2001, Cerebral glucose metabolism measured by positron emission tomography in term newborn infants with hypoxic ischemic encephalopathy, Pediatr. Res., 49, 495, 10.1203/00006450-200104000-00010 Blennow, 1995, Early [18 F]FDG positron emission tomography in infants with hypoxic-ischaemic encephalopathy shows hypermetabolism during the postasphyctic period, Acta Paediatr., 84, 1289, 10.1111/j.1651-2227.1995.tb13551.x Suhonen-Polvi, 1993, Repeated fluorodeoxyglucose positron emission tomography of the brain in infants with suspected hypoxic-ischaemic brain injury, Eur. J. Nucl. Med., 20, 759, 10.1007/BF00180905 Chugani, 1987, Positron emission tomography study of human brain functional development, Ann. Neurol., 22, 487, 10.1002/ana.410220408 Chugani, 2001, Local brain functional activity following early deprivation: a study of postinstitutionalized romanian orphans, Neuroimage, 14, 1290, 10.1006/nimg.2001.0917 von Hofsten, 1982, Eye-hand coordination in the newborn, Dev. Psychol., 18, 450, 10.1037/0012-1649.18.3.450 Chugani, 1998, Biological basis of emotions: brain systems and brain development, Pediatrics, 102, 1225, 10.1542/peds.102.SE1.1225 Boas, 2004, Diffuse optical imaging of brain activation: approaches to optimizing image sensitivity, resolution, and accuracy, Neuroimage, 23, S275, 10.1016/j.neuroimage.2004.07.011 Obrig, 2003, Beyond the visible—imaging the human brain with light, J. Cereb. Blood Flow Metab., 23, 1, 10.1097/01.WCB.0000043472.45775.29 Zheng, 2002, A model of the hemodynamic response and oxygen delivery to brain, Neuroimage, 16, 617, 10.1006/nimg.2002.1078 Gore, 2006, Integration of fMRI, NIROT and ERP for studies of human brain function, Magn. Reson. Imaging, 24, 507, 10.1016/j.mri.2005.12.039 Mahmoudzadeh, 2013, Syllabic discrimination in premature human infants prior to complete formation of cortical layers, Proc. Natl. Acad. Sci., 110, 4846, 10.1073/pnas.1212220110 Hu, 2013, Reduction of trial-to-trial variability in functional near-infrared spectroscopy signals by accounting for resting-state functional connectivity, J. Biomed. Opt., 18, 17003, 10.1117/1.JBO.18.1.017003 Rykhlevskaia, 2006, Lagged covariance structure models for studying functional connectivity in the brain, Neuroimage, 30, 1203, 10.1016/j.neuroimage.2005.11.019 Hoshi, 1998, Relationship between fluctuations in the cerebral hemoglobin oxygenation state and neuronal activity under resting conditions in man, Neurosci. Lett., 245, 147, 10.1016/S0304-3940(98)00197-9 Obrig, 2000, Spontaneous low frequency oscillations of cerebral hemodynamics and metabolism in human adults, Neuroimage, 12, 623, 10.1006/nimg.2000.0657 Nunez, 2000, On the relationship of synaptic activity to macroscopic measurements: does co-registration of EEG with fMRI make sense?, Brain Topogr., 13, 79, 10.1023/A:1026683200895 Grova, 2008, Concordance between distributed EEG source localization and simultaneous EEG-fMRI studies of epileptic spikes, Neuroimage, 39, 755, 10.1016/j.neuroimage.2007.08.020 Firbank, 1993, Measurement of the optical properties of the skull in the wavelength range 650–950nm, Phys. Med. Biol., 38, 503, 10.1088/0031-9155/38/4/002 van der Zee, 1992, 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, Adv. Exp. Med. Biol., 316, 143, 10.1007/978-1-4615-3404-4_17 Roche-Labarbe, 2008, High-resolution electroencephalography and source localization in neonates, Hum. Brain Mapp., 29, 167, 10.1002/hbm.20376 Dehaes, 2013, Quantitative effect of the neonatal fontanel on synthetic near infrared spectroscopy measurements, Hum. Brain Mapp., 34, 878, 10.1002/hbm.21483 D’Esposito, 2003, Alterations in the BOLD fMRI signal with ageing and disease: a challenge for neuroimaging, Nat. Rev. Neurosci., 4, 863, 10.1038/nrn1246 Huettel, 2001, The effects of aging upon the hemodynamic response measured by functional MRI, Neuroimage, 13, 161, 10.1006/nimg.2000.0675 Colonnese, 2008, Development of hemodynamic responses and functional connectivity in rat somatosensory cortex, Nat. Neurosci., 11, 72, 10.1038/nn2017 Kusaka, 2004, Noninvasive optical imaging in the visual cortex in young infants, Hum. Brain Mapp., 22, 122, 10.1002/hbm.20020 Franceschini, 2010, The effect of different anesthetics on neurovascular coupling, Neuroimage, 51, 1367, 10.1016/j.neuroimage.2010.03.060 Schei, 2009, State-dependent auditory evoked hemodynamic responses recorded optically with indwelling photodiodes, Appl. Opt., 48, D121, 10.1364/AO.48.00D121 Walls-Esquivel, 2007, Electroencephalography (EEG) recording techniques and artefact detection in early premature babies, Neurophysiol. Clin. Neurophysiol., 37, 299, 10.1016/j.neucli.2007.09.001 Gratton, 2003, The event-related optical signal (EROS) in visual cortex: replicability, consistency, localization, and resolution, Psychophysiology, 40, 561, 10.1111/1469-8986.00058 Firbank, 1998, A theoretical study of the signal contribution of regions of the adult head to near-Infrared spectroscopy studies of visual evoked responses, Neuroimage, 8, 69, 10.1006/nimg.1998.0348 Biallas, 2012, Reproducibility and sensitivity of detecting brain activity by simultaneous electroencephalography and near-infrared spectroscopy, Exp. Brain Res., 222, 255, 10.1007/s00221-012-3213-6 Plichta, 2006, Event-related functional near-infrared spectroscopy (fNIRS): are the measurements reliable?, Neuroimage, 31, 116, 10.1016/j.neuroimage.2005.12.008 Bluestone, 2001, Three-dimensional optical tomography of hemodynamics in the human head, Opt. Express, 9, 272, 10.1364/OE.9.000272 Hassanpour, 2014, Statistical analysis of high density diffuse optical tomography, Neuroimage, 85, 104, 10.1016/j.neuroimage.2013.05.105 Eggebrecht, 2012, A quantitative spatial comparison of high-density diffuse optical tomography and fMRI cortical mapping, Neuroimage, 61, 1120, 10.1016/j.neuroimage.2012.01.124 Ferradal, 2014, Atlas-based head modeling and spatial normalization for high-density diffuse optical tomography: in vivo validation against fMRI, Neuroimage, 85, 117, 10.1016/j.neuroimage.2013.03.069 Hassanpour, 2015, Mapping cortical responses to speech using high-density diffuse optical tomography, Neuroimage, 117, 319, 10.1016/j.neuroimage.2015.05.058 Eggebrecht, 2014, Mapping distributed brain function and networks with diffuse optical tomography, Nat. Photonics, 8, 448, 10.1038/nphoton.2014.107 Liao, 2010, Neonatal hemodynamic response to visual cortex activity: high-density near-infrared spectroscopy study, J. Biomed. Opt., 15, 26010, 10.1117/1.3369809 Ferradal, 2016, Functional imaging of the developing brain at the bedside using diffuse optical tomography, Cereb. Cortex, 26, 1558, 10.1093/cercor/bhu320 Hassanpour, 2015 Chitnis, 2016, Functional imaging of the human brain using a modular, fibre-less, high-density diffuse optical tomography system, Biomed. Opt. Express, 7, 4275, 10.1364/BOE.7.004275 Szabo, 2014, Diagnostic ultrasound imaging: inside out, diagnostic ultrasound imaging, Inside Out, 787, 735 Macé, 2011, Functional ultrasound imaging of the brain, Nat. Methods, 8, 662, 10.1038/nmeth.1641 Montaldo, 2009, Coherent plane-wave compounding for very high frame rate ultrasonography and transient elastography, IEEE Trans. Ultrason. Ferroelectr. Freq. Control, 56, 489, 10.1109/TUFFC.2009.1067 Bercoff, 2011, Ultrafast compound doppler imaging: providing full blood flow characterization, IEEE Trans. Ultrason. Ferroelectr. Freq. Control., 58, 134, 10.1109/TUFFC.2011.1780 Demene, 2017, Functional ultrasound imaging of brain activity in human newborns, Sci. Transl. Med., 9, 10.1126/scitranslmed.aah6756 Osmanski, 2014, Functional ultrasound imaging of intrinsic connectivity in the living rat brain with high spatiotemporal resolution, Nat. Commun., 5, 10.1038/ncomms6023 Meimani, 2017, A numerical analysis of a semi-dry coupling configuration in photoacoustic computed tomography for infant brain imaging, Photoacoustics, 7, 27, 10.1016/j.pacs.2017.06.001 Hu, 2011, Three-dimensional optical-resolution photoacoustic microscopy, J. Vis. Exp., 4 Hariri, 2017, Development of low-cost photoacoustic imaging systems using very low-energy pulsed laser diodes, J. Biomed. Opt., 22, 10.1117/1.JBO.22.7.075001 Hariri, 2017, 100645L Zhang, 2011, Photoacoustic ophthalmoscopy for in vivo retinal imaging: current status and prospects, ophthalmic surgery, Lasers Imaging, 42, S106, 10.3928/15428877-20110627-10 Wang, 2008, Tutorial on photoacoustic microscopy and computed tomography, IEEE J. Sel. Top. Quantum Electron., 14, 171, 10.1109/JSTQE.2007.913398 Yang, 2012, Simultaneous functional photoacoustic and ultrasonic endoscopy of internal organs in vivo, Nat. Med., 18, 1297, 10.1038/nm.2823 Gamelin, 2009, A real-time photoacoustic tomography system for small animals, Opt. Express, 17, 10489, 10.1364/OE.17.010489 Yao, 2013, Noninvasive photoacoustic computed tomography of mouse brain metabolism in vivo, Neuroimage, 64, 257, 10.1016/j.neuroimage.2012.08.054 Allen, 2006, Pulsed near-infrared laser diode excitation system for biomedical photoacoustic imaging, Opt. Lett., 31, 3462, 10.1364/OL.31.003462 Kolkman, 2006, In vivo photoacoustic imaging of blood vessels with a pulsed laser diode, Lasers Med. Sci., 21, 134, 10.1007/s10103-006-0384-z Upputuri, 2015, Performance characterization of low-cost, high-speed, portable pulsed laser diode photoacoustic tomography (PLD-PAT) system, Biomed. Opt. Express, 6, 4118, 10.1364/BOE.6.004118 Mozaffarzadeh, 2018, Double-Stage Delay Multiply and Sum Beamforming Algorithm: Application to Linear-Array Photoacoustic Imaging, IEEE Trans. Biomed. Eng., 65, 31, 10.1109/TBME.2017.2690959 Mozaffarzadeh, 2018, Linear-array photoacoustic imaging using minimum variance-based delay multiply and sum adaptive beamforming algorithm, J. Biomed. Opt., 23, 1 Nasiriavanaki, 2014, High-resolution photoacoustic tomography of resting-state functional connectivity in the mouse brain, Proc. Natl. Acad. Sci., 111, 21, 10.1073/pnas.1311868111 Zhang, 2018, High-resolution deep functional imaging of the whole mouse brain by photoacoustic computed tomography in vivo, J. Biophotonics, 11, e201700024, 10.1002/jbio.201700024 Li, 2017, Single-impulse panoramic photoacoustic computed tomography of small-animal whole-body dynamics at high spatiotemporal resolution, Nat. Biomed. Eng., 1, 71, 10.1038/s41551-017-0071 Gamelin, 2009, A real-time photoacoustic tomography system for small animals, Opt. Express, 17, 10489, 10.1364/OE.17.010489 ali hariri, parsa omidi, M. Nasiriavanaki, Resting-State Functional Connectivity Measurement in the Mouse Brain using a Low Cost Photoacoustic Computed Tomography, in: Front. Opt. 2016, OSA, Washington, D.C., 2016: p. JW4A.62. doi:10.1364/FIO.2016.JW4A.62. Nasiriavanaki, 2014, Resting-state functional connectivity imaging of the mouse brain using photoacoustic tomography, Proc. SPIE – Prog. Biomed. Opt. Imaging, 8943, 1 Khodaee, 2017, 1006438 White, 2009, Resting-state functional connectivity in the human brain revealed with diffuse optical tomography, Neuroimage, 47, 148, 10.1016/j.neuroimage.2009.03.058 Mesquita, 2010, Resting state functional connectivity of the whole head with near-infrared spectroscopy, Biomed. Opt. Express, 1, 324, 10.1364/BOE.1.000324 Steinbrink, 2006, Illuminating the BOLD signal: combined fMRI-fNIRS studies, Magn. Reson. Imaging, 24, 495, 10.1016/j.mri.2005.12.034 Vikram, 2007, Methods for noninvasive imaging of tissue hypoxia, Antioxid. Redox Signal, 9, 1745, 10.1089/ars.2007.1717 Hopf, 1997, Wound tissue oxygen tension predicts the risk of wound infection in surgical patients, Arch. Surg., 132, 997, 10.1001/archsurg.1997.01430330063010 Chang, 1983, Direct measurement of wound and tissue oxygen tension in postoperative patients, Ann. Surg., 197, 470, 10.1097/00000658-198304000-00017 Cao, 2017, Functional and oxygen-metabolic photoacoustic microscopy of the awake mouse brain, Neuroimage, 150, 77, 10.1016/j.neuroimage.2017.01.049 Yao, 2015, High-speed label-free functional photoacoustic microscopy of mouse brain in action, Nat. Methods, 12, 407, 10.1038/nmeth.3336 B.J. Krause, R. Beck, M. Souvatzoglou, M. Piert, PET and PET/CT studies of tumor tissue oxygenation, Q. J. Nucl. Med. Mol. Imaging Off. Publ. Ital. Assoc. Nucl. Med. [and] Int. Assoc. Radiopharmacol. (IAR), [and] Sect. Soc. Radiopharm. 50 (2006) 28–43. Tatum, 2006, Hypoxia: importance in tumor biology, noninvasive measurement by imaging, and value of its measurement in the management of cancer therapy, Int. J. Radiat. Biol, 82, 699, 10.1080/09553000601002324 Laufer, 2005, In vitro measurements of absolute blood oxygen saturation using pulsed near-infrared photoacoustic spectroscopy: Accuracy and resolution, Phys. Med. Biol., 50, 4409, 10.1088/0031-9155/50/18/011 Yao, 2011, Label-free oxygen-metabolic photoacoustic microscopy in vivo, J. Biomed. Opt., 16, 76003, 10.1117/1.3594786 Zhang, 2007, Imaging of hemoglobin oxygen saturation variations in single vessels in vivo using photoacoustic microscopy, Appl. Phys. Lett., 90 Li, 2016, Label-free photoacoustic tomography of whole mouse brain structures ex vivo, Neurophotonics, 3, 35001, 10.1117/1.NPh.3.3.035001 Wang, 2012, Photoacoustic tomography: In vivoi maging from organelles to organs, Science, 335, 1458, 10.1126/science.1216210 Wang, 2008, Noninvasive reflection mode photoacoustic imaging through infant skull toward imaging of neonatal brains, J. Neurosci. Methods, 168, 412, 10.1016/j.jneumeth.2007.11.007 Hariri, 2017, 100642Z Volinski, 2017, 100643T K. Mitsuhashi, J. Poudel, T.P. Matthews, A. Garcia-Uribe, L.V. Wang, M.A. Anastasio, A forward-adjoint operator pair based on the elastic wave equation for use in transcranial photoacoustic tomography, (2017). http://arxiv.org/abs/1709.02733 (accessed January 6, 2018). Mohammadi, 2017, 100643U Makropoulos, 2017, A review on automatic fetal and neonatal brain MRI segmentation, Neuroimage Huang, 2012, Aberration correction for transcranial photoacoustic tomography of primates employing adjunct image data, J. Biomed. Opt., 17, 66016, 10.1117/1.JBO.17.6.066016 Shi, 2016, Transmission in near-infrared optical windows for deep brain imaging, J. Biophotonics, 9, 38, 10.1002/jbio.201500192 Xu, 2017, Effect of small and large animal skull bone on photoacoustic signal, Prog. Biomed. Opt. Imaging – Proc. SPIE Herrmann, 2017, 100640Q Wang, 2009, 717709 a. Lediju Bell, 2015, Quantifying bone thickness, light transmission, and contrast interrelationships in transcranial photoacoustic imaging, Proc. SPIE 9323, Photons Plus Ultrasound Imaging Sens, 2015, 93230C Eggebrecht, 2014, Mapping distributed brain function and networks with diffuse optical tomography, Nat. Photonics, 8, 448, 10.1038/nphoton.2014.107