headshot

Theodore Huppert

Associate Professor
Website Electrical and Computer Engineering Bioengineering Department

overview

My lab develops multimodal neuroimaging methods including MRI, MEG, EEG, diffuse optical imaging (NIRS) and PET imaging to provide a more complete modality-independent picture of the brain through technology cross-validation, multimodal (statistical) data fusion, and underlying state-space modeling of the cerebral physiology. As part of the core of the MRI research center, we provide support and collaboration to numerous structural and functional MRI studies including the development of real-time fMRI methods and concurrent fMRI-EEG. I am also the imaging core team leader for the University of Pittsburgh’s Human Connectome Project (U01-AG051197; PI Becker) in Alzheimer’s imaging involving MRI, PET, and MEG brain imaging. The specialty of my lab, however, is in diffuse optical spectroscopy and near-infrared spectroscopy (NIRS) methods applied to both unique neuroimaging scenarios (e.g. ambulatory movement, field-deployable, and pediatric brain imaging) and in concurrent multimodal experiments (e.g. NIRS/MEG and NIRS/EEG/fMRI). NIRS is a non-invasive imaging tool that uses light to measure blood properties in the brain or other tissue. Specifically, biological tissue has low optical absorption to red to near-infrared light, which allows light at these wavelengths to be directed non-invasively into tissue where it can travel (diffusely) up to several centimeters. This technique allows imaging of specific chromophore concentrations such as hemoglobin and lipid from sensors placed on the surface of the skin. My lab develops instrumentation and data analysis methods for collecting near-infrared signals for both muscle physiology and brain imaging applications. In the brain, near-infrared light can be used to non-invasively measure about 5-8mm into the cortex of the brain and is used in both clinical monitoring/assessment and functional neuroscience applications. This is a portable and low-cost alternative to methods like fMRI and has been widely adopted in specific applications such as neuroimaging of movement disorders, child psychology, and bedside monitoring where fMRI methods are less applicable. My lab primarily focuses on novel method development (particularly digital signal processing, image reconstruction, and analysis methods) and we collaborate with numerous groups worldwide to apply this technology. In particular, I wrote the open source analysis package used widely by this community (with currently >1,600 registered users) and am a founding board member for the society for functional NIRS. Lab website: www.pitt.edu/~huppert1 and www.huppertlab.net Software tools website: www.bitbucket.org/huppertt/nirs-toolbox

about

PhD, Harvard University

BSc, University of Wisconsin-Madison

Buss, A.T., Magnotta, V.A., Penny, W., Schoener, G., Huppert, T.J., & Spencer, J.P. (2021). How Do Neural Processes Give Rise to Cognition? Simultaneously Predicting Brain and Behavior With a Dynamic Model of Visual Working Memory. PSYCHOLOGICAL REVIEW, 128(2), 362-395.American Psychological Association (APA). doi: 10.1037/rev0000264.

Cao, J., Huppert, T.J., Grover, P., & Kainerstorfer, J.M. (2021). Enhanced spatiotemporal resolution imaging of neuronal activity using joint electroencephalography and diffuse optical tomography. NEUROPHOTONICS, 8(1), 015002.SPIE-Intl Soc Optical Eng. doi: 10.1117/1.NPh.8.1.015002.

Kim, T., Kim, S.Y., Agarwal, V., Cohen, A., Roush, R., Chang, Y.F., Cheng, Y., Snitz, B., Huppert, T.J., Bagic, A., Kamboh, M.I., Doman, J., & Becker, J.T. (2021). Cardiac-induced cerebral pulsatility, brain structure, and cognition in middle and older adults. NEUROIMAGE, 233, 117956.Elsevier BV. doi: 10.1016/j.neuroimage.2021.117956.

Meidenbauer, K.L., Choe, K.W., Cardenas-Iniguez, C., Huppert, T.J., & Berman, M.G. (2021). Load-dependent relationships between frontal fNIRS activity and performance: A data-driven PLS approach. NEUROIMAGE, 230, 117795.Elsevier BV. doi: 10.1016/j.neuroimage.2021.117795.

Quinones-Camacho, L.E., Fishburn, F.A., Belardi, K., Williams, D.L., Huppert, T.J., & Perlman, S.B. (2021). Dysfunction in interpersonal neural synchronization as a mechanism for social impairment in autism spectrum disorder. AUTISM RESEARCH, 14(8), 1585-1596.Wiley. doi: 10.1002/aur.2513.

Shaaban, C.E., Rosano, C., Cohen, A.D., Huppert, T., Butters, M.A., Hengenius, J., Parks, W.T., & Catov, J.M. (2021). Cognition and Cerebrovascular Reactivity in Midlife Women With History of Preeclampsia and Placental Evidence of Maternal Vascular Malperfusion. FRONTIERS IN AGING NEUROSCIENCE, 13, 637574.Frontiers Media SA. doi: 10.3389/fnagi.2021.637574.

Zuniga, J.M., Pierce, J.E., Copeland, C., Cortes-Reyes, C., Salazar, D., Wang, Y., Arun, K.M., & Huppert, T. (2021). Brain lateralization in children with upper-limb reduction deficiency. J Neuroeng Rehabil, 18(1), 24.Springer Science and Business Media LLC. doi: 10.1186/s12984-020-00803-1.

De Campos, A.C., Sukal-Moulton, T., Huppert, T., Alter, K., & Damiano, D.L. (2020). Brain activation patterns underlying upper limb bilateral motor coordination in unilateral cerebral palsy: an fNIRS study. DEVELOPMENTAL MEDICINE AND CHILD NEUROLOGY, 62(5), 625-632.Wiley. doi: 10.1111/dmcn.14458.

Hoppes, C.W., Huppert, T.J., Whitney, S.L., Dunlap, P.M., DiSalvio, N.L., Alshebber, K.M., Furman, J.M., Kwon, Y.H., & Rosso, A.L. (2020). Changes in Cortical Activation During Dual-Task Walking in Individuals With and Without Visual Vertigo. JOURNAL OF NEUROLOGIC PHYSICAL THERAPY, 44(2), 156-163.Ovid Technologies (Wolters Kluwer Health). doi: 10.1097/NPT.0000000000000310.

Quinones-Camacho, L.E., Fishburn, F.A., Camacho, M.C., Hlutkowsky, C.O., Huppert, T.J., Wakschlag, L.S., & Perlman, S.B. (2020). Parent-child neural synchrony: a novel approach to elucidating dyadic correlates of preschool irritability. JOURNAL OF CHILD PSYCHOLOGY AND PSYCHIATRY, 61(11), 1213-1223.Wiley. doi: 10.1111/jcpp.13165.

Santosa, H., Zhai, X., Fishburn, F., Sparto, P.J., & Huppert, T.J. (2020). Quantitative comparison of correction techniques for removing systemic physiological signal in functional near-infrared spectroscopy studies. NEUROPHOTONICS, 7(3), 035009.SPIE-Intl Soc Optical Eng. doi: 10.1117/1.NPh.7.3.035009.

Zhai, X., Santosa, H., & Huppert, T.J. (2020). Using anatomically defined regions-of-interest to adjust for head-size and probe alignment in functional near-infrared spectroscopy. NEUROPHOTONICS, 7(3), 035008.SPIE-Intl Soc Optical Eng. doi: 10.1117/1.NPh.7.3.035008.

Aarabi, A., & Huppert, T.J. (2019). Assessment of the effect of data length on the reliability of resting-state fNIRS connectivity measures and graph metrics. BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 54, 101612.Elsevier BV. doi: 10.1016/j.bspc.2019.101612.

Chambers, A.J., Haney, J.M., Huppert, T., & Redfern, M.S. (2019). The Effect of Prolonged Walking With Intermittent Standing on Erector Spinae and Soleus Muscle Oxygenation and Discomfort. JOURNAL OF SPORTS SCIENCE AND MEDICINE, 18(2), 337-343.

Fishburn, F.A., Hlutkowsky, C.O., Bemis, L.M., Huppert, T.J., Wakschlag, L.S., & Perlman, S.B. (2019). Irritability uniquely predicts prefrontal cortex activation during preschool inhibitory control among all temperament domains: A LASSO approach. NEUROIMAGE, 184, 68-77.Elsevier BV. doi: 10.1016/j.neuroimage.2018.09.023.

Grabell, A.S., Huppert, T.J., Fishburn, F.A., Li, Y., Hlutkowsky, C.O., Jones, H.M., Wakschlag, L.S., & Perlman, S.B. (2019). Neural correlates of early deliberate emotion regulation: Young children's responses to interpersonal scaffolding. DEVELOPMENTAL COGNITIVE NEUROSCIENCE, 40, 100708.Elsevier BV. doi: 10.1016/j.dcn.2019.100708.

Manelis, A., Huppert, T.J., Rodgers, E., Swartz, H.A., & Phillips, M.L. (2019). The role of the right prefrontal cortex in recognition of facial emotional expressions in depressed individuals: fNIRS study. JOURNAL OF AFFECTIVE DISORDERS, 258, 151-158.Elsevier BV. doi: 10.1016/j.jad.2019.08.006.

Santosa, H., Fishburn, F., Zhai, X., & Huppert, T.J. (2019). Investigation of the sensitivity-specificity of canonical- and deconvolution-based linear models in evoked functional near-infrared spectroscopy. NEUROPHOTONICS, 6(2), 025009.SPIE-Intl Soc Optical Eng. doi: 10.1117/1.NPh.6.2.025009.

Fishburn, F.A., Murty, V.P., Hlutkowsky, C.O., MacGillivray, C.E., Bemis, L.M., Murphy, M.E., Huppert, T.J., & Perlman, S.B. (2018). Putting our heads together: interpersonal neural synchronization as a biological mechanism for shared intentionality. SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE, 13(8), 841-849.Oxford University Press (OUP). doi: 10.1093/scan/nsy060.

Grabell, A.S., Huppert, T.J., Fishburn, F.A., Li, Y., Jones, H.M., Wilett, A.E., Bemis, L.M., & Perlman, S.B. (2018). Using facial muscular movements to understand young children's emotion regulation and concurrent neural activation. DEVELOPMENTAL SCIENCE, 21(5), e12628.Wiley. doi: 10.1111/desc.12628.

Grabell, A.S., Li, Y., Barker, J.W., Wakschlag, L.S., Huppert, T.J., & Perlman, S.B. (2018). Evidence of Non-Linear Associations between Frustration-Related Prefrontal Cortex Activation and the Normal:Abnormal Spectrum of Irritability in Young Children. JOURNAL OF ABNORMAL CHILD PSYCHOLOGY, 46(1), 137-147.Springer Science and Business Media LLC. doi: 10.1007/s10802-017-0286-5.

Hoppes, C.W., Sparto, P.J., Whitney, S.L., Furman, J.M., & Huppert, T.J. (2018). Functional near-infrared spectroscopy during optic flow with and without fixation. PLOS ONE, 13(3), e0193710.Public Library of Science (PLoS). doi: 10.1371/journal.pone.0193710.

Hoppes, C.W., Sparto, P.J., Whitney, S.L., Furman, J.M., & Huppert, T.J. (2018). Changes in cerebral activation in individuals with and without visual vertigo during optic flow: A functional near-infrared spectroscopy study. NEUROIMAGE-CLINICAL, 20, 655-663.Elsevier BV. doi: 10.1016/j.nicl.2018.08.034.

Lin, C.C., Barker, J.W., Sparto, P.J., Furman, J.M., & Huppert, T.J. (2018). Functional near-infrared spectroscopy (fNIRS) brain imaging of multi-sensory integration during computerized dynamic posturography in middle-aged and older adults (vol 235, pg 1247, 2017). EXPERIMENTAL BRAIN RESEARCH, 236(4), 1225-1228.Springer Science and Business Media LLC. doi: 10.1007/s00221-018-5177-7.

Santosa, H., Zhai, X., Fishburn, F., & Huppert, T. (2018). The NIRS Brain AnalyzIR Toolbox. Algorithms, 11(5), 73.MDPI AG. doi: 10.3390/a11050073.

Sukal-Moulton, T., de Campos, A.C., Alter, K.E., Huppert, T.J., & Damiano, D.L. (2018). Relationship between sensorimotor cortical activation as assessed by functional near infrared spectroscopy and lower extremity motor coordination in bilateral cerebral palsy. NEUROIMAGE-CLINICAL, 20, 275-285.Elsevier BV. doi: 10.1016/j.nicl.2018.07.023.

Whiteman, A.C., Santosa, H., Chen, D.F., Perlman, S., & Huppert, T. (2018). Investigation of the sensitivity of functional near-infrared spectroscopy brain imaging to anatomical variations in 5- to 11-year-old children. NEUROPHOTONICS, 5(1), 011009.SPIE-Intl Soc Optical Eng. doi: 10.1117/1.NPh.5.1.011009.

Alqahtani, B.A., Ferchak, M.A., Huppert, T.J., Sejdic, E., Perera, S., Greenspan, S.L., & Sparto, P.J. (2017). Standing balance and strength measurements in older adults living in residential care communities. AGING CLINICAL AND EXPERIMENTAL RESEARCH, 29(5), 1021-1030.Springer Science and Business Media LLC. doi: 10.1007/s40520-016-0693-4.

Ghuman, A.S., van den Honert, R.N., Huppert, T.J., Wallace, G.L., & Martin, A. (2017). Aberrant Oscillatory Synchrony Is Biased Toward Specific Frequencies and Processing Domains in the Autistic Brain. BIOLOGICAL PSYCHIATRY-COGNITIVE NEUROSCIENCE AND NEUROIMAGING, 2(3), 245-252.Elsevier BV. doi: 10.1016/j.bpsc.2016.07.006.

Huppert, T., Barker, J., Schmidt, B., Walls, S., & Ghuman, A. (2017). Comparison of group-level, source localized activity for simultaneous functional near-infrared spectroscopy-magnetoencephalography and simultaneous fNIRS-fMRI during parametric median nerve stimulation. Neurophotonics, 4(1), 015001.SPIE-Intl Soc Optical Eng. doi: 10.1117/1.nph.4.1.015001.

Huppert, T.J., Karim, H., Lin, C.C., Alqahtani, B.A., Greenspan, S.L., & Sparto, P.J. (2017). Functional imaging of cognition in an old-old population: A case for portable functional near-infrared spectroscopy. PLOS ONE, 12(10), e0184918.Public Library of Science (PLoS). doi: 10.1371/journal.pone.0184918.

Karim, H.T., Huppert, T.J., Erickson, K.I., Wollam, M.E., Sparto, P.J., Sejdic, E., & VanSwearingen, J.M. (2017). Motor sequence learning-induced neural efficiency in functional brain connectivity. BEHAVIOURAL BRAIN RESEARCH, 319, 87-95.Elsevier BV. doi: 10.1016/j.bbr.2016.11.021.

Li, Y., Grabell, A.S., Wakschlag, L.S., Huppert, T.J., & Perlman, S.B. (2017). The neural substrates of cognitive flexibility are related to individual differences in preschool irritability: A fNIRS investigation. DEVELOPMENTAL COGNITIVE NEUROSCIENCE, 25, 138-144.Elsevier BV. doi: 10.1016/j.dcn.2016.07.002.

Lin, C.C., Barker, J.W., Sparto, P.J., Furman, J.M., & Huppert, T.J. (2017). Functional near-infrared spectroscopy (fNIRS) brain imaging of multi-sensory integration during computerized dynamic posturography in middle-aged and older adults. EXPERIMENTAL BRAIN RESEARCH, 235(4), 1247-1256.Springer Science and Business Media LLC. doi: 10.1007/s00221-017-4893-8.

Rosso, A.L., Cenciarini, M., Sparto, P.J., Loughlin, P.J., Furman, J.M., & Huppert, T.J. (2017). Neuroimaging of an attention demanding dual-task during dynamic postural control. GAIT & POSTURE, 57, 193-198.Elsevier BV. doi: 10.1016/j.gaitpost.2017.06.013.

Santosa, H., Aarabi, A., Perlman, S.B., & Huppert, T.J. (2017). Characterization and correction of the false-discovery rates in resting state connectivity using functional near-infrared spectroscopy. JOURNAL OF BIOMEDICAL OPTICS, 22(5), 55002.SPIE-Intl Soc Optical Eng. doi: 10.1117/1.JBO.22.5.055002.

Wijeakumar, S., Huppert, T.J., Magnotta, V.A., Buss, A.T., & Spencer, J.P. (2017). Validating an image-based fNIRS approach with fMRI and a working memory task. NEUROIMAGE, 147, 204-218.Elsevier BV. doi: 10.1016/j.neuroimage.2016.12.007.

Yucel, M.A., Selb, J.J., Huppert, T.J., Franceschini, M.A., & Boas, D.A. (2017). Functional Near Infrared Spectroscopy: Enabling routine functional brain imaging. CURRENT OPINION IN BIOMEDICAL ENGINEERING, 4, 78-86.Elsevier BV. doi: 10.1016/j.cobme.2017.09.011.

Aarabi, A., & Huppert, T.J. (2016). Characterization of the relative contributions from systemic physiological noise to whole-brain resting-state functional near-infrared spectroscopy data using single-channel independent component analysis. NEUROPHOTONICS, 3(2), 025004.SPIE-Intl Soc Optical Eng. doi: 10.1117/1.NPh.3.2.025004.

Barker, J.W., Rosso, A.L., Sparto, P.J., & Huppert, T.J. (2016). Correction of motion artifacts and serial correlations for real-time functional near-infrared spectroscopy. NEUROPHOTONICS, 3(3), 031410.SPIE-Intl Soc Optical Eng. doi: 10.1117/1.NPh.3.3.031410.

Harrivel, A.R., Weissman, D.H., Noll, D.C., Huppert, T., & Peltier, S.J. (2016). Dynamic filtering improves attentional state prediction with fNIRS. Biomedical Optics Express, 7(3), 979.The Optical Society. doi: 10.1364/boe.7.000979.

Huppert, T.J. (2016). Commentary on the statistical properties of noise and its implication on general linear models in functional near-infrared spectroscopy. NEUROPHOTONICS, 3(1), 010401.SPIE-Intl Soc Optical Eng. doi: 10.1117/1.NPh.3.1.010401.

Perlman, S.B., Huppert, T.J., & Luna, B. (2016). Functional Near-Infrared Spectroscopy Evidence for Development of Prefrontal Engagement in Working Memory in Early Through Middle Childhood. CEREBRAL CORTEX, 26(6), 2790-2799.Oxford University Press (OUP). doi: 10.1093/cercor/bhv139.

Barker, J.W., Panigrahy, A., & Huppert, T.J. (2014). Accuracy of oxygen saturation and total hemoglobin estimates in the neonatal brain using the semi-infinite slab model for FD-NIRS data analysis. BIOMEDICAL OPTICS EXPRESS, 5(12), 4300-4312.The Optical Society. doi: 10.1364/BOE.5.004300.

Karim, H.T., Sparto, P.J., Aizenstein, H.J., Furman, J.M., Huppert, T.J., Erickson, K.I., & Loughlin, P.J. (2014). Functional MR imaging of a simulated balance task. BRAIN RESEARCH, 1555, 20-27.Elsevier BV. doi: 10.1016/j.brainres.2014.01.033.

Kontos, A.P., Huppert, T.J., Beluk, N.H., Elbin, R.J., Henry, L.C., French, J., Dakan, S.M., & Collins, M.W. (2014). Brain activation during neurocognitive testing using functional near-infrared spectroscopy in patients following concussion compared to healthy controls. BRAIN IMAGING AND BEHAVIOR, 8(4), 621-634.Springer Science and Business Media LLC. doi: 10.1007/s11682-014-9289-9.

Muhei-aldin, O., VanSwearingen, J., Karim, H., Huppert, T., Sparto, P.J., Erickson, K.I., & Sejdic, E. (2014). An investigation of fMRI time series stationarity during motor sequence learning foot tapping tasks. JOURNAL OF NEUROSCIENCE METHODS, 227, 75-82.Elsevier BV. doi: 10.1016/j.jneumeth.2014.02.003.

Perlman, S.B., Luna, B., Hein, T.C., & Huppert, T.J. (2014). fNIRS evidence of prefrontal regulation of frustration in early childhood. NEUROIMAGE, 85, 326-334.Elsevier BV. doi: 10.1016/j.neuroimage.2013.04.057.

Schmidt, B.T., Ghuman, A.S., & Huppert, T.J. (2014). Whole brain functional connectivity using phase locking measures of resting state magnetoencephalography. FRONTIERS IN NEUROSCIENCE, 8(8 JUN), 141.Frontiers Media SA. doi: 10.3389/fnins.2014.00141.

Yuecel, M.A., Evans, K.C., Selb, J., Huppert, T.J., Boas, D.A., & Gagnon, L. (2014). Validation of the hypercapnic calibrated fMRI method using DOT-fMRI fusion imaging. NEUROIMAGE, 102(P2), 729-735.Elsevier BV. doi: 10.1016/j.neuroimage.2014.08.052.

Barker, J.W., Aarabi, A., & Huppert, T.J. (2013). Autoregressive model based algorithm for correcting motion and serially correlated errors in fNIRS. BIOMEDICAL OPTICS EXPRESS, 4(8), 1366-1379.The Optical Society. doi: 10.1364/BOE.4.001366.

Huppert, T., Schmidt, B., Beluk, N., Furman, J., & Sparto, P. (2013). Measurement of Brain Activation During an Upright Stepping Reaction Task Using Functional Near-Infrared Spectroscopy. HUMAN BRAIN MAPPING, 34(11), 2817-2828.Wiley. doi: 10.1002/hbm.22106.

Huppert, T.J. (2013). History of Diffuse Optical Spectroscopy of Human Tissue. In Optical Methods and Instrumentation in Brain Imaging and Therapy. (pp. 23-56).Springer New York. doi: 10.1007/978-1-4614-4978-2_2.

Karim, H., Fuhrman, S.I., Sparto, P., Furman, J., & Huppert, T. (2013). Functional brain imaging of multi-sensory vestibular processing during computerized dynamic posturography using near-infrared spectroscopy. NEUROIMAGE, 74, 318-325.Elsevier BV. doi: 10.1016/j.neuroimage.2013.02.010.

Karim, H.T., Fuhrman, S.I., Furman, J.M., & Huppert, T.J. (2013). Neuroimaging to detect cortical projection of vestibular response to caloric stimulation in young and older adults using functional near-infrared spectroscopy (fNIRS). NEUROIMAGE, 76(1), 1-10.Elsevier BV. doi: 10.1016/j.neuroimage.2013.02.061.

Gagnon, L., Yuecel, M.A., Dehaes, M., Cooper, R.J., Perdue, K.L., Selb, J., Huppert, T.J., Hoge, R.D., & Boas, D.A. (2012). Quantification of the cortical contribution to the NIRS signal over the motor cortex using concurrent NIRS-fMRI measurements. NEUROIMAGE, 59(4), 3933-3940.Elsevier BV. doi: 10.1016/j.neuroimage.2011.10.054.

Karim, H., Schmidt, B., Dart, D., Beluk, N., & Huppert, T. (2012). Functional near-infrared spectroscopy (fNIRS) of brain function during active balancing using a video game system. Gait Posture, 35(3), 367-372.Elsevier BV. doi: 10.1016/j.gaitpost.2011.10.007.

Yuecel, M.A., Huppert, T.J., Boas, D.A., & Gagnon, L. (2012). Calibrating the BOLD signal during a motor task using an extended fusion model incorporating DOT, BOLD and ASL data. NEUROIMAGE, 61(4), 1268-1276.Elsevier BV. doi: 10.1016/j.neuroimage.2012.04.036.

Abdelnour, F., & Huppert, T. (2011). A random-effects model for group-level analysis of diffuse optical brain imaging. Biomedical Optics Express, 2(1), 1.The Optical Society. doi: 10.1364/boe.2.000001.

Abdelnour, F., Genovese, C., & Huppert, T. (2010). Hierarchical Bayesian regularization of reconstructions for diffuse optical tomography using multiple priors. Biomedical Optics Express, 1(4), 1084.The Optical Society. doi: 10.1364/boe.1.001084.

Sevy, A.B.G., Bortfeld, H., Huppert, T.J., Beauchamp, M.S., Tonini, R.E., & Oghalai, J.S. (2010). Neuroimaging with near-infrared spectroscopy demonstrates speech-evoked activity in the auditory cortex of deaf children following cochlear implantation. HEARING RESEARCH, 270(1-2), 39-47.Elsevier BV. doi: 10.1016/j.heares.2010.09.010.

Abdelnour, A.F., & Huppert, T. (2009). Real-time imaging of human brain function by near-infrared spectroscopy using an adaptive general linear model. Neuroimage, 46(1), 133-143.Elsevier BV. doi: 10.1016/j.neuroimage.2009.01.033.

Abdelnour, F., Schmidt, B., & Huppert, T.J. (2009). Topographic localization of brain activation in diffuse optical imaging using spherical wavelets. PHYSICS IN MEDICINE AND BIOLOGY, 54(20), 6383-6413.IOP Publishing. doi: 10.1088/0031-9155/54/20/023.

Huppert, T.J., Allen, M.S., Diamond, S.G., & Boas, D.A. (2009). Estimating Cerebral Oxygen Metabolism From fMRI With a Dynamic Multicompartment Windkessel Model. HUMAN BRAIN MAPPING, 30(5), 1548-1567.Wiley. doi: 10.1002/hbm.20628.

Huppert, T.J., Jones, P.B., Devor, A., Dunn, A.K., Teng, I.C., Dale, A.M., & Boas, D.A. (2009). Sensitivity of neural-hemodynamic coupling to alterations in cerebral blood flow during hypercapnia. JOURNAL OF BIOMEDICAL OPTICS, 14(4), 044038.SPIE-Intl Soc Optical Eng. doi: 10.1117/1.3210779.

Mesquita, R.C., Huppert, T.J., & Boas, D.A. (2009). Exploring neuro-vascular and neuro-metabolic coupling in rat somatosensory cortex. PHYSICS IN MEDICINE AND BIOLOGY, 54(2), 175-185.IOP Publishing. doi: 10.1088/0031-9155/54/2/001.

Becerra, L., Harris, W., Joseph, D., Huppert, T., Boas, D.A., & Borsook, D. (2008). Diffuse optical tomography of pain and tactile stimulation: activation in cortical sensory and emotional systems. Neuroimage, 41(2), 252-259.Elsevier BV. doi: 10.1016/j.neuroimage.2008.01.047.

Boas, D.A., Jones, S.R., Devor, A., Huppert, T.J., & Dale, A.M. (2008). A vascular anatomical network model of the spatio-temporal response to brain activation. Neuroimage, 40(3), 1116-1129.Elsevier BV. doi: 10.1016/j.neuroimage.2007.12.061.

Grignon, S., Forget, K., Durand, M., & Huppert, T. (2008). Increased left prefrontal activation during staring/mutism episodes in a patient with resistant catatonic schizophrenia: a near infrared spectroscopy study. Cogn Behav Neurol, 21(1), 41-45.Ovid Technologies (Wolters Kluwer Health). doi: 10.1097/WNN.0b013e3181684d87.

Huppert, T.J., Diamond, S.G., & Boas, D.A. (2008). Direct estimation of evoked hemoglobin changes by multimodality fusion imaging. JOURNAL OF BIOMEDICAL OPTICS, 13(5), 054031.SPIE-Intl Soc Optical Eng. doi: 10.1117/1.2976432.

Huppert, T.J., Allen, M.S., Benav, H., Jones, P.B., & Boas, D.A. (2007). A multicompartment vascular model for inferring baseline and functional changes in cerebral oxygen metabolism and arterial dilation. J Cereb Blood Flow Metab, 27(6), 1262-1279.SAGE Publications. doi: 10.1038/sj.jcbfm.9600435.

Themelis, G., D'Arceuil, H., Diamond, S.G., Thaker, S., Huppert, T.J., Boas, D.A., & Franceschini, M.A. (2007). Near-infrared spectroscopy measurement of the pulsatile component of cerebral blood flow and volume from arterial oscillations. J Biomed Opt, 12(1), 014033.SPIE-Intl Soc Optical Eng. doi: 10.1117/1.2710250.

Diamond, S.G., Huppert, T.J., Kolehmainen, V., Franceschini, M.A., Kaipio, J.P., Arridge, S.R., & Boas, D.A. (2006). Dynamic physiological modeling for functional diffuse optical tomography. Neuroimage, 30(1), 88-101.Elsevier BV. doi: 10.1016/j.neuroimage.2005.09.016.

Franceschini, M.A., Joseph, D.K., Huppert, T.J., Diamond, S.G., & Boas, D.A. (2006). Diffuse optical imaging of the whole head. J Biomed Opt, 11(5), 054007.SPIE-Intl Soc Optical Eng. doi: 10.1117/1.2363365.

Huppert, T.J., Hoge, R.D., Dale, A.M., Franceschini, M.A., & Boas, D.A. (2006). Quantitative spatial comparison of diffuse optical imaging with blood oxygen level-dependent and arterial spin labeling-based functional magnetic resonance imaging. J Biomed Opt, 11(6), 064018.SPIE-Intl Soc Optical Eng. doi: 10.1117/1.2400910.

Huppert, T.J., Hoge, R.D., Diamond, S.G., Franceschini, M.A., & Boas, D.A. (2006). A temporal comparison of BOLD, ASL, and NIRS hemodynamic responses to motor stimuli in adult humans. Neuroimage, 29(2), 368-382.Elsevier BV. doi: 10.1016/j.neuroimage.2005.08.065.

Joseph, D.K., Huppert, T.J., Franceschini, M.A., & Boas, D.A. (2006). Diffuse optical tomography system to image brain activation with improved spatial resolution and validation with functional magnetic resonance imaging. Appl Opt, 45(31), 8142-8151.The Optical Society. doi: 10.1364/ao.45.008142.

Hoge, R.D., Franceschini, M.A., Covolan, R.J.M., Huppert, T., Mandeville, J.B., & Boas, D.A. (2005). Simultaneous recording of task-induced changes in blood oxygenation, volume, and flow using diffuse optical imaging and arterial spin-labeling MRI. Neuroimage, 25(3), 701-707.Elsevier BV. doi: 10.1016/j.neuroimage.2004.12.032.

Chow, C.C., Chow, C., Raghunathan, V., Huppert, T.J., Kimball, E.B., & Cavagnero, S. (2003). Chain length dependence of apomyoglobin folding: Structural evolution from misfolded sheets to native helices. BIOCHEMISTRY, 42(23), 7090-7099.American Chemical Society (ACS). doi: 10.1021/bi0273056.

Cao, J., Huppert, T., Grover, P., & Kainerstorfer, J.M. (2020). Joint spatio-temporal neural source reconstruction using electroencephalography and near-infrared spectroscopy. In Optics InfoBase Conference Papers, Part F178-Translational-2020.

Wood, S., Fanta, A., Dosunmu-Ogunbi, A., Ruesch, A., Jonassaint, J., Huppert, T., Novelli, E.M., & Kainerstorfer, J.M. (2020). Quantifying cerebral autoregulation in patients with sickle cell disease using near-infrared spectroscopy. In Optics InfoBase Conference Papers, Part F178-Translational-2020.

Cao, J., Huppert, T.J., Grover, P., & Kainerstorfer, J.M. (2019). Enhanced spatiotemporal reconstruction of neural activities using simultaneous electroencephalography and near-infrared spectroscopy. In JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM, 39, (pp. 480-481).

Santosa, H., Huppert, T.J., & Hong, K.S. (2015). Fast optical signals during median nerve stimulation by using continuous-wave NIRS. In 2015 International Conference on Automation, Cognitive Science, Optics, Micro Electro-Mechanical System, and Information Technology (ICACOMIT), (pp. 37-40).IEEE. doi: 10.1109/icacomit.2015.7440151.

Yücel, M.A., Huppert, T.J., Boas, D.A., & Gagnon, L. (2012). Estimating Hemoglobin Changes with an Extended Fusion Model Incorporating DOT, BOLD and ASL Data. In Biomedical Optics and 3-D Imaging.OSA. doi: 10.1364/biomed.2012.btu3a.17.

Abdelnour, F., & Huppert, T. (2010). Group analysis for functional optical brain imaging using a random effects model. In Optics InfoBase Conference Papers.

Abdelnour, F., & Huppert, T. (2010). NIRS-specific adaptation of the general linear model for statistical mapping of brain activity. In Optics InfoBase Conference Papers.

Abdelnour, F., & Huppert, T. (2010). NIRS-Specific Adaptation of the General Linear Model for Statistical Mapping of Brain Activity. In Biomedical Optics and 3-D Imaging.OSA. doi: 10.1364/biomed.2010.jma61.

Abdelnour, F., & Huppert, T. (2010). Group Analysis for Functional Optical Brain Imaging using a Random Effects Model. In Biomedical Optics and 3-D Imaging.OSA. doi: 10.1364/biomed.2010.jma65.

Schmidt, B., Beluk, N., Sparto, P., & Huppert, T. (2010). Near-infrared functional brain imaging of prefrontal and motor regions during a step-reaction stroop test. In Optics InfoBase Conference Papers.

Schmidt, B., Beluk, N., Sparto, P., & Huppert, T. (2010). Near-Infrared Functional Brain Imaging of Prefrontal and Motor Regions During a Step-Reaction Stroop Test. In Biomedical Optics and 3-D Imaging.OSA. doi: 10.1364/biomed.2010.jma91.

Huppert, T.J., Diamond, S.G., Franceschini, M.A., & Boas, D.A. (2009). HomER: a review of time-series analysis methods for near-infrared spectroscopy of the brain. In APPLIED OPTICS, 48(10), (pp. D280-D298).The Optical Society.United States. doi: 10.1364/AO.48.00D280.

Huppert, T.J., Diamond, S.G., & Boas, D.A. (2008). Optically-Calibrated Functional Magnetic Resonance Imaging. In Biomedical Optics.OSA. doi: 10.1364/biomed.2008.bsud8.

Mesquita, R.C., Yucel, M.A., Akin, A., Devor, A., Huppert, T., & Boas, D.A. (2008). Investigating neurovascular coupling in rat brain with optical imaging and physiological modeling. In Biomedical Optics.OSA. doi: 10.1364/biomed.2008.bmd3.

Allen, M.S., Huppert, T.J., & Boas, D.A. (2006). Estimating CMRO2 with multi-modality imaging using a multi-compartment vascular model. In Optics InfoBase Conference Papers.

Huppert, T.J., Diamond, S.G., & Boas, D.A. (2006). Quantitative estimation of cerebral hemodynamic changes through the multimodality fusion of BOLD and diffuse optical tomography. In Optics InfoBase Conference Papers.

Joseph, D.K., Huppert, T.J., Franceschini, M.A., & Boas, D.A. (2006). Design and validation of a diffuse optical tomography system with improved spatial resolution for functional brain imaging. In Optics InfoBase Conference Papers.

Nissilä, I., Stufflebeam, S., Diamond, S.G., Huppert, T., Hämäläinen, M., & Franceschini, M.A. (2006). Responses to median nerve stimulation as recorded by simultaneous diffuse optical imaging and magnetoencephalography. In Optics InfoBase Conference Papers.

Nissilä, I., Stufflebeam, S., Diamond, S.G., Huppert, T., Hämäläinen, M., & Franceschini, M.A. (2006). Responses to Median Nerve Stimulation as Recorded by Simultaneous Diffuse Optical Imaging and Magnetoencephalography. In Biomedical Optics.OSA. doi: 10.1364/bio.2006.sc6.

Themelis, G., D’Arceuil, H., Diamond, S.G., Thaker, S., James, T., Boas, H.D., & Franceschini, M.A. (2006). NIRS measurement of the pulsatile component of cerebral blood flow and volume from the arterial oscillations. In Biomedical Optics.OSA. doi: 10.1364/bio.2006.sh26.

Themelis, G., D'Arceuil, H., Diamond, S.G., Thaker, S., Huppert, T.J., Boas, D., & Franceschini, M.A. (2006). NIRS measurement of the pulsatile component of cerebral blood flow and volume from the arterial oscillations. In Optics InfoBase Conference Papers.

Diamond, S.G., Huppert, T.J., Kolehmainen, V., Franceschini, M.A., Kaipio, J.P., Arridge, S.R., & Boas, D.A. (2005). Physiological system identification with the Kalman filter in diffuse optical tomography. In Med Image Comput Comput Assist Interv, 8(Pt 2), (pp. 649-656).Springer Berlin Heidelberg.Germany. doi: 10.1007/11566489_80.

Huppert, T.J., Hoge, R.D., Franceschini, M.A., & Boas, D.A. (2005). A spatial-temporal comparison of fMRI and NIRS hemodynamic responses to motor stimuli in adult humans. In Optical Tomography and Spectroscopy of Tissue VI, 5693, (pp. 191-202).SPIE. doi: 10.1117/12.612143.