{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T12:48:02Z","timestamp":1788353282644,"version":"build-2803163510"},"reference-count":109,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2020,8,6]],"date-time":"2020-08-06T00:00:00Z","timestamp":1596672000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,8,6]],"date-time":"2020-08-06T00:00:00Z","timestamp":1596672000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/100000025","name":"National Institute of Mental Health","doi-asserted-by":"publisher","award":["R01 MH085900"],"award-info":[{"award-number":["R01 MH085900"]}],"id":[{"id":"10.13039\/100000025","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Brain Imaging and Behavior"],"published-print":{"date-parts":[[2021,6]]},"DOI":"10.1007\/s11682-020-00358-8","type":"journal-article","created":{"date-parts":[[2020,8,6]],"date-time":"2020-08-06T04:04:04Z","timestamp":1596686644000},"page":"1622-1640","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":40,"title":["FMRI hemodynamic response function (HRF) as a novel marker of brain function: applications for understanding obsessive-compulsive disorder pathology and treatment response"],"prefix":"10.1007","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9553-1354","authenticated-orcid":false,"given":"D.","family":"Rangaprakash","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Reza","family":"Tadayonnejad","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gopikrishna","family":"Deshpande","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joseph","family":"O\u2019Neill","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jamie D.","family":"Feusner","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,8,6]]},"reference":[{"issue":"4","key":"358_CR1","doi-asserted-by":"publisher","first-page":"360","DOI":"10.1006\/nimg.1998.0369","volume":"8","author":"GK Aguirre","year":"1998","unstructured":"Aguirre, G. K., Zarahn, E., & D'esposito, M. (1998). The variability of human, BOLD hemodynamic responses. Neuroimage, 8(4), 360\u2013369.","journal-title":"Neuroimage"},{"issue":"6","key":"358_CR2","doi-asserted-by":"publisher","first-page":"e100012","DOI":"10.1371\/journal.pone.0100012","volume":"9","author":"E Amico","year":"2014","unstructured":"Amico, E., Gomez, F., Di Perri, C., Vanhaudenhuyse, A., Lesenfants, D., Boveroux, P., Bonhomme, V., Brichant, J. F., Marinazzo, D., & Laureys, S. (2014). Posterior cingulate cortex-related co-activation patterns: a resting state FMRI study in propofol-induced loss of consciousness. PLoS One, 9(6), e100012.","journal-title":"PLoS One"},{"key":"358_CR3","doi-asserted-by":"publisher","first-page":"595","DOI":"10.1016\/j.biopsych.2013.10.021","volume":"75","author":"A Anticevic","year":"2014","unstructured":"Anticevic, A., Hu, S., Zhang, S., Savic, A., Billingslea, E., Wasylink, S., Repovs, G., Cole, M., Bednarski, S., Krystal, J., Bloch, M., Li, C.-S., & Pittenger, C. (2014). Global resting-state functional magnetic resonance imaging analysis identifies frontal cortex, striatal, and cerebellar dysconnectivity in obsessive-compulsive disorder. Biological Psychiatry, 75, 595\u2013605.","journal-title":"Biological Psychiatry"},{"key":"358_CR4","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1016\/j.pscychresns.2010.08.012","volume":"184","author":"I Apostolova","year":"2010","unstructured":"Apostolova, I., Block, S., Buchert, R., Osen, B., Conradi, M., Tabrizian, S., Gensichen, S., Schroder-Hartwig, K., Fricke, S., Rufer, M., Weiss, A., Hand, I., Clausen, M., & Obrocki, J. (2010). Effects of behavioral therapy or pharmacotherapy on brain glucose metabolism in subjects with obsessive\u2013compulsive disorder as assessed by brain FDG PET. Psychiatry Research: Neuroimaging, 184, 105\u2013116.","journal-title":"Psychiatry Research: Neuroimaging"},{"issue":"Pt B","key":"358_CR5","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1016\/j.neuroimage.2016.02.079","volume":"145","author":"M Arbabshirani","year":"2017","unstructured":"Arbabshirani, M., Plis, S., Sui, J., & Calhoun, V. (2017). Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls. NeuroImage, 145(Pt B), 137\u2013165.","journal-title":"NeuroImage"},{"issue":"27","key":"358_CR6","doi-asserted-by":"publisher","first-page":"9848","DOI":"10.1523\/JNEUROSCI.1575-14.2015","volume":"35","author":"M Arcaro","year":"2015","unstructured":"Arcaro, M., Pinsk, M., & Kastner, S. (2015). The anatomical and functional Organization of the Human Visual Pulvinar. Journal of Neuroscience, 35(27), 9848\u20139871.","journal-title":"Journal of Neuroscience"},{"key":"358_CR7","doi-asserted-by":"crossref","unstructured":"Aylward, E., Sparks, B., Field, K., Yallapragada, V., Shpritz, B., Rosenblatt, A.,\u00a0Brandt, J., Gourley, L. M., Liang, K., Zhou, H., Margolis, R. L., & Ross, C. A. (2004). Onset and rate of striatal atrophy in preclinical Huntington disease. Neurology, 63(1), 66\u201372.","DOI":"10.1212\/01.WNL.0000132965.14653.D1"},{"issue":"Pt 3","key":"358_CR8","doi-asserted-by":"publisher","first-page":"798","DOI":"10.1093\/brain\/awu379","volume":"138","author":"P Banca","year":"2015","unstructured":"Banca, P., Voon, V., Vestergaard, M., Philipiak, G., Almeida, I., Pocinho, F., et al. (2015). Imbalance in habitual versus goal directed neural systems during symptom provocation in obsessive-compulsive disorder. Brain, 138(Pt 3), 798\u2013811.","journal-title":"Brain"},{"issue":"1","key":"358_CR9","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1016\/j.neuroimage.2007.04.042","volume":"37","author":"Y Behzadi","year":"2007","unstructured":"Behzadi, Y., Restom, K., Liau, J., & Liu, T. (2007). A component based noise correction method (CompCor) for BOLD and perfusion based fMRI. Neuroimage, 37(1), 90\u2013101.","journal-title":"Neuroimage"},{"issue":"6","key":"358_CR10","doi-asserted-by":"publisher","first-page":"619","DOI":"10.1001\/jamapsychiatry.2013.173","volume":"70","author":"J Beucke","year":"2013","unstructured":"Beucke, J., Sepulcre, J., Talukdar, T., Linnman, C., Zschenderlein, K., Endrass, T., Kaufmann, C., & Kathmann, N. (2013). Abnormally high degree connectivity of the orbitofrontal cortex in obsessive-compulsive disorder. JAMA Psychiatry, 70(6), 619\u2013629.","journal-title":"JAMA Psychiatry"},{"issue":"4","key":"358_CR11","doi-asserted-by":"publisher","first-page":"1031","DOI":"10.1016\/j.neuroimage.2012.04.015","volume":"61","author":"F Biessmann","year":"2012","unstructured":"Biessmann, F., Murayama, Y., Logothetis, N., M\u00fcller, K., & Meinecke, F. (2012). Improved decoding of neural activity from fMRI signals using non-separable spatiotemporal deconvolutions. Neuroimage, 61(4), 1031\u20131042.","journal-title":"Neuroimage"},{"issue":"5","key":"358_CR12","doi-asserted-by":"publisher","first-page":"e0125337","DOI":"10.1371\/journal.pone.0125337","volume":"10","author":"M Boly","year":"2015","unstructured":"Boly, M., Sasai, S., Gosseries, O., Oizumi, M., Casali, A., Massimini, M., & Tononi, G. (2015). Stimulus set meaningfulness and neurophysiological differentiation: a functional magnetic resonance imaging study. PLoS One, 10(5), e0125337.","journal-title":"PLoS One"},{"issue":"1","key":"358_CR13","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1016\/j.biopsych.2012.06.023","volume":"73","author":"B Brennan","year":"2013","unstructured":"Brennan, B., Rauch, S., Jensen, J., & Pope, H. (2013). A critical review of magnetic resonance spectroscopy studies of obsessive-compulsive disorder. Biological Psychiatry, 73(1), 24\u201331.","journal-title":"Biological Psychiatry"},{"issue":"7","key":"358_CR14","doi-asserted-by":"publisher","first-page":"829","DOI":"10.1097\/01.WCB.0000071887.63724.B2","volume":"23","author":"GG Brown","year":"2003","unstructured":"Brown, G. G., Eyler Zorrilla, L. T., Georgy, B., Kindermann, S. S., Wong, E. C., & Buxton, R. B. (2003). BOLD and perfusion response to finger-thumb apposition after acetazolamide administration: Differential relationship to global perfusion. Journal of Cerebral Blood Flow and Metabolism, 23(7), 829\u2013837.","journal-title":"Journal of Cerebral Blood Flow and Metabolism"},{"issue":"1","key":"358_CR15","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/j.brainresrev.2007.05.011","volume":"56","author":"DW Busija","year":"2007","unstructured":"Busija, D. W., Bari, F., Domoki, F., & Louis, T. (2007). Mechanisms involved in the cerebrovascular dilator effects of N-methyl-d-aspartate in cerebral cortex. Brain Research Reviews, 56(1), 89\u2013100.","journal-title":"Brain Research Reviews"},{"key":"358_CR16","doi-asserted-by":"crossref","unstructured":"Buxton, R. (2002). Introduction to functional magnetic resonance imaging: principles and techniques.\u00a0Energy,\u00a024(2), xi 523","DOI":"10.1017\/CBO9780511549854"},{"issue":"6","key":"358_CR17","doi-asserted-by":"publisher","first-page":"855","DOI":"10.1002\/mrm.1910390602","volume":"39","author":"R Buxton","year":"1998","unstructured":"Buxton, R., Wong, E., & Frank, L. (1998). Dynamics of blood flow and oxygenation changes during brain activation: The balloon model. Magnetic Resonance in Medicine, 39(6), 855\u2013864.","journal-title":"Magnetic Resonance in Medicine"},{"issue":"5","key":"358_CR18","doi-asserted-by":"publisher","first-page":"771","DOI":"10.1016\/j.neuron.2007.11.008","volume":"56","author":"G Buzs\u00e1ki","year":"2007","unstructured":"Buzs\u00e1ki, G., Kaila, K., & Raichle, M. (2007). Inhibition and brain work. Neuron, 56(5), 771\u2013783.","journal-title":"Neuron"},{"key":"358_CR19","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1016\/j.neuroimage.2014.12.012","volume":"107","author":"J Chen","year":"2015","unstructured":"Chen, J., & Glover, G. (2015). BOLD fractional contribution to resting-state functional connectivity above 0.1 Hz. Neuroimage, 107, 207\u2013218.","journal-title":"Neuroimage"},{"issue":"6","key":"358_CR20","doi-asserted-by":"publisher","first-page":"e67478","DOI":"10.1371\/journal.pone.0067478","volume":"8","author":"Y Cheng","year":"2013","unstructured":"Cheng, Y., Xu, J., Nie, B., Luo, C., Yang, T., Li, H., Lu, J., Xu, L., Shan, B., & Xu, X. (2013). Abnormal resting-state activities and functional connectivities of the anterior and the posterior cortexes in medication-na\u00efve patients with obsessive-compulsive disorder. PLoS One, 8(6), e67478.","journal-title":"PLoS One"},{"issue":"4","key":"358_CR21","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1016\/S0301-0082(96)00033-0","volume":"50","author":"Z Cohen","year":"1996","unstructured":"Cohen, Z., Bonvento, G., Lacombe, P., & Hamel, E. (1996). Serotonin in the regulation of brain microcirculation. Progress in Neurobiology, 50(4), 335\u2013362.","journal-title":"Progress in Neurobiology"},{"issue":"6","key":"358_CR22","doi-asserted-by":"publisher","first-page":"1619","DOI":"10.1002\/mrm.22159","volume":"62","author":"R Craddock","year":"2009","unstructured":"Craddock, R., Holtzheimer III, P., Hu, X., & Mayberg, H. (2009). Disease state prediction from resting state functional connectivity. Magnetic Resonance in Medicine, 62(6), 1619\u20131628.","journal-title":"Magnetic Resonance in Medicine"},{"issue":"6","key":"358_CR23","first-page":"2683","volume":"23","author":"O David","year":"2008","unstructured":"David, O., Guillemain, I., Saillet, S., Reyt, S., Deransart, S., Segebarth, C., & Depaulis, A. (2008). Identifying neural drivers with functional MRI: An electrophysiological validation. PLoS Biology, 23(6), 2683\u20132697.","journal-title":"PLoS Biology"},{"issue":"3","key":"358_CR24","doi-asserted-by":"publisher","first-page":"884","DOI":"10.1016\/j.neuroimage.2009.11.060","volume":"52","author":"G Deshpande","year":"2010","unstructured":"Deshpande, G., Sathian, K., & Hu, X. (2010a). Effect of hemodynamic variability on granger causality analysis of fMRI. Neuroimage, 52(3), 884\u2013896.","journal-title":"Neuroimage"},{"issue":"12","key":"358_CR27","doi-asserted-by":"publisher","first-page":"e14277","DOI":"10.1371\/journal.pone.0014277","volume":"5","author":"G Deshpande","year":"2010","unstructured":"Deshpande, G., Li, Z., Santhanam, P., Coles, C., Lynch, M., Hamann, S., & Hu, X. (2010b). Recursive cluster elimination based support vector machine for disease state prediction using resting state functional and effective brain connectivity. PLoS One, 5(12), e14277.","journal-title":"PLoS One"},{"issue":"10","key":"358_CR28","doi-asserted-by":"publisher","first-page":"1671","DOI":"10.1038\/jcbfm.2015.106","volume":"35","author":"J Duarte","year":"2015","unstructured":"Duarte, J., Pereira, J., Quendera, B., Raimundo, M., Moreno, C., Gomes, L., Carrilho, F., & Castelo-Branco, M. (2015). Early disrupted neurovascular coupling and changed event level hemodynamic response function in type 2 diabetes: An fMRI study. Journal of Cerebral Blood Flow and Metabolism, 35(10), 1671\u20131680.","journal-title":"Journal of Cerebral Blood Flow and Metabolism"},{"issue":"2","key":"358_CR29","doi-asserted-by":"publisher","first-page":"663","DOI":"10.1002\/hbm.23057","volume":"37","author":"C Feng","year":"2015","unstructured":"Feng, C., Deshpande, G., Liu, C., Gu, R., Luo, Y.-J., & Krueger, F. (2015). Diffusion of responsibility attenuates altruistic punishment: A functional magnetic resonance imaging effective connectivity study. Human Brain Mapping, 37(2), 663\u2013677.","journal-title":"Human Brain Mapping"},{"issue":"4","key":"358_CR30","doi-asserted-by":"publisher","first-page":"1273","DOI":"10.1016\/S1053-8119(03)00202-7","volume":"19","author":"K Friston","year":"2013","unstructured":"Friston, K., Harrison, L., & Penny, W. (2013). Dynamic causal modelling. Neuroimage, 19(4), 1273\u20131302.","journal-title":"Neuroimage"},{"issue":"4","key":"358_CR31","doi-asserted-by":"publisher","first-page":"416","DOI":"10.1006\/nimg.1998.0419","volume":"9","author":"G Glover","year":"1999","unstructured":"Glover, G. (1999). Deconvolution of impulse response in event-related BOLD fMRI. Neuroimage, 9(4), 416\u2013429.","journal-title":"Neuroimage"},{"key":"358_CR32","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1016\/j.neuroimage.2016.05.025","volume":"138","author":"A Golestani","year":"2016","unstructured":"Golestani, A., Wei, L., & Chen, J. (2016). Quantitative mapping of cerebrovascular reactivity using resting-state BOLD fMRI: Validation in healthy adults. Neuroimage, 138, 147\u2013163.","journal-title":"Neuroimage"},{"key":"358_CR33","doi-asserted-by":"crossref","unstructured":"Goodman, W., Price, L., Rasmussen, S., Mazure, C., Fleischmann, R., Hill, C., Heninger, G., & Charney, D. (1989). The Yale-Brown obsessive compulsive scale. I. Development, use, and reliability. Archives of General Psychiatry, 46(11), 1006\u20131011.","DOI":"10.1001\/archpsyc.1989.01810110048007"},{"key":"358_CR34","doi-asserted-by":"publisher","first-page":"118","DOI":"10.1016\/j.neubiorev.2014.03.014","volume":"43","author":"R Gooz\u00e9e","year":"2014","unstructured":"Gooz\u00e9e, R., Handley, R., Kempton, M., & Dazzan, P. (2014). A systematic review and meta-analysis of the effects of antipsychotic medications on regional cerebral blood flow (rCBF) in schizophrenia: Association with response to treatment. Neuroscience and Biobehavioral Reviews, 43, 118\u2013136.","journal-title":"Neuroscience and Biobehavioral Reviews"},{"issue":"7","key":"358_CR35","doi-asserted-by":"publisher","first-page":"1782","DOI":"10.1038\/npp.2015.28","volume":"40","author":"M Grant","year":"2015","unstructured":"Grant, M., Wood, K., Sreenivasan, K., Wheelock, M., White, D., Thomas, J., Knight, D., & Deshpande, G. (2015). Influence of early life stress on intra- and extra-amygdaloid causal connectivity. Neuropsychopharmacology, 40(7), 1782\u20131793.","journal-title":"Neuropsychopharmacology"},{"issue":"4","key":"358_CR36","doi-asserted-by":"publisher","first-page":"711","DOI":"10.3233\/JAD-121690","volume":"36","author":"M Grieder","year":"2013","unstructured":"Grieder, M., Crinelli, R., Jann, K., Federspiel, A., Wirth, M., Koenig, T., Stein, M., Wahlund, L., & Dierks, T. (2013). Correlation between topographic N400 anomalies and reduced cerebral blood flow in the anterior temporal lobes of patients with dementia. Journal of Alzheimer's Disease, 36(4), 711\u2013731.","journal-title":"Journal of Alzheimer's Disease"},{"key":"358_CR37","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1016\/j.neubiorev.2018.01.016","volume":"87","author":"D G\u00fcrsel","year":"2018","unstructured":"G\u00fcrsel, D., Avram, M., Sorg, C., Brandl, F., & Koch, K. (2018). Frontoparietal areas link impairments of large-scale intrinsic brain networks with aberrant fronto-striatal interactions in OCD: A meta-analysis of resting-state functional connectivity. Neuroscience and Biobehavioral Reviews, 87, 151\u2013160.","journal-title":"Neuroscience and Biobehavioral Reviews"},{"key":"358_CR38","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1016\/j.neuroimage.2015.01.050","volume":"110","author":"S Halani","year":"2015","unstructured":"Halani, S., Kwinta, J., Golestani, A., Khatamian, Y., & Chen, J. (2015). Comparing cerebrovascular reactivity measured using BOLD and cerebral blood flow MRI: The effect of basal vascular tension on vasodilatory and vasoconstrictive reactivity. Neuroimage, 110, 110\u2013123.","journal-title":"Neuroimage"},{"key":"358_CR39","doi-asserted-by":"publisher","first-page":"224","DOI":"10.1016\/j.biopsych.2015.02.020","volume":"78","author":"J Hamilton","year":"2015","unstructured":"Hamilton, J., Farmer, M., Fogelman, P., & Gotlib, I. (2015). Depressive rumination, the default-mode network, and the dark matter of clinical neuroscience. Biological Psychiatry, 78, 224\u2013230.","journal-title":"Biological Psychiatry"},{"issue":"A","key":"358_CR40","doi-asserted-by":"publisher","first-page":"997","DOI":"10.1016\/j.neuroimage.2015.10.002","volume":"124","author":"B Hampstead","year":"2016","unstructured":"Hampstead, B., Khoshnoodi, M., Yan, W., Deshpande, G., & Sathian, K. (2016). Patterns of effective connectivity between memory encoding and retrieval differ between patients with mild cognitive impairment and healthy older adults. NeuroImage, 124(A), 997\u20131008.","journal-title":"NeuroImage"},{"issue":"4","key":"358_CR41","doi-asserted-by":"publisher","first-page":"1639","DOI":"10.1016\/j.neuroimage.2003.11.029","volume":"21","author":"DA Handwerker","year":"2004","unstructured":"Handwerker, D. A., Ollinger, J. M., & D\u2019Esposito, M. (2004). Variation of BOLD hemodynamic responses across subjects and brain regions and their effects on statistical analyses. Neuroimage, 21(4), 1639\u20131651.","journal-title":"Neuroimage"},{"issue":"2","key":"358_CR42","doi-asserted-by":"publisher","first-page":"1017","DOI":"10.1016\/j.neuroimage.2012.02.015","volume":"62","author":"DA Handwerker","year":"2012","unstructured":"Handwerker, D. A., Gonzalez-Castillo, J., D'Esposito, M., & Bandettini, P. A. (2012). The continuing challenge of understanding and modeling hemodynamic variation in fMRI. Neuroimage, 62(2), 1017\u20131023.","journal-title":"Neuroimage"},{"issue":"1","key":"358_CR43","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/j.neuroimage.2010.05.063","volume":"53","author":"M Havlicek","year":"2010","unstructured":"Havlicek, M., Jan, J., Brazdil, M., & Calhoun, V. (2010). Dynamic granger causality based on Kalman filter for evaluation of functional network connectivity in fMRI data. Neuroimage, 53(1), 65\u201377.","journal-title":"Neuroimage"},{"issue":"4","key":"358_CR44","doi-asserted-by":"publisher","first-page":"2109","DOI":"10.1016\/j.neuroimage.2011.03.005","volume":"56","author":"M Havlicek","year":"2011","unstructured":"Havlicek, M., Friston, K. J., Jan, J., Brazdil, M., & Calhoun, V. D. (2011). Dynamic modeling of neuronal responses in fMRI using cubature Kalman filtering. Neuroimage, 56(4), 2109\u20132128.","journal-title":"Neuroimage"},{"issue":"5","key":"358_CR45","doi-asserted-by":"publisher","first-page":"304","DOI":"10.1503\/jpn.130220","volume":"39","author":"J-M Hou","year":"2014","unstructured":"Hou, J.-M., Zhao, M., Zhang, W., Song, L.-H., Wu, W.-J., Wang, J., Zhou, D.-Q., Xie, B., He, M., Guo, J.-W., Qu, W., & Li, H.-T. (2014). Resting-state functional connectivity abnormalities in patients with obsessive\u2013compulsive disorder and their healthy first-degree relatives. Journal of Psychiatry and Neuroscience, 39(5), 304\u2013311.","journal-title":"Journal of Psychiatry and Neuroscience"},{"key":"358_CR46","volume-title":"Huntington\u2019s disease: A guide for professionals","author":"A Johnson","year":"2014","unstructured":"Johnson, A., & Paulsen, J. (2014). Understanding behavior. In D. Lovecky & K. Tarapata (Eds.), Huntington\u2019s disease: A guide for professionals. New York: Huntington\u2019s Disease Society of America."},{"issue":"Pt A","key":"358_CR47","doi-asserted-by":"publisher","first-page":"394","DOI":"10.1016\/j.neuroimage.2015.08.068","volume":"124","author":"J Kim","year":"2016","unstructured":"Kim, J., & Ress, D. (2016). Arterial impulse model for the BOLD response to brief neural activation. Neuroimage, 124(Pt A), 394\u2013408.","journal-title":"Neuroimage"},{"key":"358_CR48","doi-asserted-by":"publisher","first-page":"120","DOI":"10.3389\/fnana.2014.00120","volume":"8","author":"H Kim","year":"2014","unstructured":"Kim, H., Ghazizadeh, A., & Hikosaka, O. (2014). Separate groups of dopamine neurons innervate caudate head and tail encoding flexible and stable value memories. Frontiers in Neuroanatomy, 8, 120.","journal-title":"Frontiers in Neuroanatomy"},{"key":"358_CR49","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1016\/j.neuropsychologia.2014.05.008","volume":"60","author":"S Lacey","year":"2014","unstructured":"Lacey, S., Stilla, R., Sreenivasan, K., Deshpande, G., & Sathian, K. (2014). Spatial imagery in haptic shape perception. Neuropsychologia, 60, 144\u2013158.","journal-title":"Neuropsychologia"},{"issue":"8","key":"358_CR50","doi-asserted-by":"publisher","first-page":"619","DOI":"10.1089\/brain.2014.0243","volume":"4","author":"B Lamichhane","year":"2014","unstructured":"Lamichhane, B., Adhikari, B. M., Brosnan, S. F., & Dhamala, M. (2014). The neural basis of perceived unfairness in economic exchanges. Brain Connectivity, 4(8), 619\u2013630.","journal-title":"Brain Connectivity"},{"key":"358_CR51","doi-asserted-by":"publisher","DOI":"10.1007\/s11682-019-00191-8","author":"P Lanka","year":"2019","unstructured":"Lanka, P., Rangaprakash, D., Dretsch, M. N., Katz, J. S., Denney, T. S., Jr., & Deshpande, G. (2019). Supervised machine learning for diagnostic classification from large-scale neuroimaging datasets. Brain imaging and behavior. https:\/\/doi.org\/10.1007\/s11682-019-00191-8","journal-title":"Brain imaging and behavior"},{"issue":"3","key":"358_CR52","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1016\/j.jpsychires.2009.06.010","volume":"44","author":"H Lemke","year":"2010","unstructured":"Lemke, H., de Castro, A., Schlattmann, P., Heuser, I., & Neu, P. (2010). Cerebrovascular reactivity over time-course - from major depressive episode to remission. Journal of Psychiatry Research, 44(3), 132\u2013136.","journal-title":"Journal of Psychiatry Research"},{"issue":"2","key":"358_CR53","first-page":"85","volume":"31","author":"TK Len","year":"2011","unstructured":"Len, T. K., & Neary, J. P. (2011). Cerebrovascular pathophysiology following mild traumatic brain injury. Clinical Psychology and Functional Imaging, 31(2), 85\u201393.","journal-title":"Clinical Psychology and Functional Imaging"},{"issue":"3","key":"358_CR54","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/S0925-4927(98)00022-5","volume":"82","author":"J Levin","year":"1998","unstructured":"Levin, J., Ross, M., Mendelson, J., Kaufman, M., Lange, N., Maas, L., Mello, N., Cohen, B., & Renshaw, P. (1998). Reduction in BOLD fMRI response to primary visual stimulation following alcohol ingestion. Psychiatry Research, 82(3), 135\u2013146.","journal-title":"Psychiatry Research"},{"key":"358_CR55","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.cortex.2015.02.008","volume":"66","author":"L Libero","year":"2015","unstructured":"Libero, L., DeRamus, T., Lahti, A., Deshpande, G., & Kana, R. (2015). Multimodal neuroimaging based classification of autism spectrum disorder using anatomical, neurochemical, and white matter correlates. Cortex, 66, 46\u201359.","journal-title":"Cortex"},{"key":"358_CR56","first-page":"308","volume":"10","author":"F Liu","year":"2016","unstructured":"Liu, F., Zhuo, C., & Yu, C. (2016). Altered Cerebral Blood Flow Covariance Network in Schizophrenia. Frontiers in neuroscience, 10, 308.","journal-title":"Frontiers in neuroscience"},{"issue":"4","key":"358_CR57","doi-asserted-by":"publisher","first-page":"1251","DOI":"10.1017\/S0954579408000606","volume":"20","author":"T Maia","year":"2008","unstructured":"Maia, T., Cooney, R., & Peterson, B. (2008). The neural bases of obsessive-compulsive disorder in children and adults. Development and Psychopathology, 20(4), 1251\u20131283.","journal-title":"Development and Psychopathology"},{"key":"358_CR58","doi-asserted-by":"publisher","first-page":"495","DOI":"10.1016\/j.neuroimage.2004.08.041","volume":"24","author":"N Maltby","year":"2005","unstructured":"Maltby, N., Tolin, D., Worhunsky, P., O\u2019Keefe, T., & Kiehl, K. (2005). Dysfunctional action monitoring hyperactivates frontal\u2013striatal circuits in obsessive\u2013compulsive disorder: An event-related fMRI study. Neuroimage, 24, 495\u2013503.","journal-title":"Neuroimage"},{"key":"358_CR59","unstructured":"Marinazzo, D. (2013). \u201cCode for HRF blind deconvolution,\u201d [Online]. Available: http:\/\/users.ugent.be\/~dmarinaz\/HRF_deconvolution.html. [Accessed Sept 2016]."},{"key":"358_CR60","doi-asserted-by":"crossref","unstructured":"Mataix-Cols, D., Fern\u00e1ndez de la Cruz, L., Nordsletten, A., Lenhard, F., Isomura, K., & Simpson, H. (2016). Towards an international expert consensus for defining treatment response, remission, recovery and relapse in obsessive-compulsive disorder. World Psychiatry, 15(1), 80\u201381.","DOI":"10.1002\/wps.20299"},{"key":"358_CR61","doi-asserted-by":"publisher","unstructured":"McDonough, I., Bender, A., Patihis, L., Stinson, E., Letang, S. & Miller, W. (2019). The trouble interpreting fMRI studies in populations with cerebrovascular risk: the use of a subject-specific hemodynamic response function in a study of age, vascular risk, and memory. bioRxiv,\u00a0https:\/\/doi.org\/10.1101\/512343","DOI":"10.1101\/512343"},{"issue":"3","key":"358_CR62","doi-asserted-by":"publisher","first-page":"525","DOI":"10.1016\/j.neubiorev.2007.09.005","volume":"32","author":"L Menzies","year":"2008","unstructured":"Menzies, L., Chamberlain, S., Laird, A., Thelen, S., Sahakian, B., & Bullmore, E. (2008). Integrating evidence from neuroimaging and neuropsychological studies of obsessive-compulsive disorder: The orbitofronto-striatal model revisited. Neuroscience and Biobehavioral Reviews, 32(3), 525\u2013549.","journal-title":"Neuroscience and Biobehavioral Reviews"},{"issue":"6 Pt 1","key":"358_CR63","doi-asserted-by":"publisher","first-page":"735","DOI":"10.1006\/nimg.2000.0568","volume":"11","author":"F Miezin","year":"2000","unstructured":"Miezin, F., Maccotta, L., Ollinger, J., Petersen, S., & Buckner, R. (2000). Characterizing the hemodynamic response: Effects of presentation rate, sampling procedure, and the possibility of ordering brain activity based on relative timing. Neuroimage, 11(6 Pt 1), 735\u2013759.","journal-title":"Neuroimage"},{"issue":"6","key":"358_CR64","doi-asserted-by":"publisher","first-page":"608","DOI":"10.1001\/jamapsychiatry.2013.914","volume":"70","author":"M Milad","year":"2013","unstructured":"Milad, M., Furtak, S., Greenberg, J., Keshaviah, A., Im, J., Falkenstein, M., Jenike, M., Rauch, S., & Wilhelm, S. (2013). Deficits in conditioned fear extinction in obsessive-compulsive disorder and neurobiological changes in the fear circuit. JAMA Psychiatry, 70(6), 608\u2013618.","journal-title":"JAMA Psychiatry"},{"issue":"1","key":"358_CR65","first-page":"39","volume":"1","author":"D Mintzopoulos","year":"2016","unstructured":"Mintzopoulos, D., Gillis, T., Robertson, H., Dalia, T., Feng, G., Rauch, S., & Kaufman, M. (2016). Striatal magnetic resonance spectroscopy abnormalities in young adult SAPAP3 knockout mice. Biol Psychiatry Cogn Neurosci Neuroimaging., 1(1), 39\u201348.","journal-title":"Biol Psychiatry Cogn Neurosci Neuroimaging."},{"issue":"9","key":"358_CR66","doi-asserted-by":"publisher","first-page":"e1230","DOI":"10.1038\/tp.2017.192","volume":"7","author":"T Moody","year":"2017","unstructured":"Moody, T., Morfini, F., Cheng, G., Sheen, C., Tadayonnejad, R., Reggente, N., O'Neill, J., & Feusner, J. (2017). Mechanisms of cognitive-behavioral therapy for obsessive-compulsive disorder involve robust and extensive increases in brain network connectivity. Translational Psychiatry, 7(9), e1230.","journal-title":"Translational Psychiatry"},{"key":"358_CR67","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/j.cortex.2016.12.018","volume":"88","author":"L Morris","year":"2017","unstructured":"Morris, L., Baek, K., & Voon, V. (2017). Distinct cortico-striatal connections with subthalamic nucleus underlie facets of compulsivity. Cortex, 88, 143\u2013150.","journal-title":"Cortex"},{"issue":"2","key":"358_CR68","doi-asserted-by":"publisher","first-page":"455","DOI":"10.1002\/hbm.21223","volume":"33","author":"SD Muthukumaraswamy","year":"2012","unstructured":"Muthukumaraswamy, S. D., Evans, C. J., Edden, R. A., Wise, R. G., & Singh, K. D. (2012). Individual variability in the shape and amplitude of the BOLD-HRF correlates with endogenous GABAergic inhibition. Human Brain Mapping, 33(2), 455\u2013465.","journal-title":"Human Brain Mapping"},{"key":"358_CR69","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1016\/S0925-4927(03)00069-6","volume":"124","author":"E Nakatani","year":"2003","unstructured":"Nakatani, E., Nakgawa, A., Ohara, Y., Goto, S., Uozumi, N., Iwakiri, M., Yamamoto, Y., Motomura, K., Iikura, Y., & Yamagami, T. (2003). Effects of behavior therapy on regional cerebral blood flow in obsessive\u2013compulsive disorder. Psychiatry Research: Neuroimaging, 124, 113\u2013120.","journal-title":"Psychiatry Research: Neuroimaging"},{"key":"358_CR70","doi-asserted-by":"publisher","first-page":"507","DOI":"10.2147\/NDT.S117510","volume":"13","author":"Q Niu","year":"2017","unstructured":"Niu, Q., Yang, L., Song, X., Chu, C., Liu, H., Zhang, L., Li, Y., Zhang, X., Cheng, J., & Li, Y. (2017). Abnormal resting-state brain activities in patients with first-episode obsessive-compulsive disorder. Neuropsychiatric Disease and Treatment, 13, 507\u2013513.","journal-title":"Neuropsychiatric Disease and Treatment"},{"issue":"2","key":"358_CR71","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1002\/hbm.10131","volume":"20","author":"M Noseworthy","year":"2003","unstructured":"Noseworthy, M., Alfonsi, J., & Bells, S. (2003). Attenuation of brain BOLD response following lipid ingestion. Human Brain Mapping, 20(2), 116\u2013121.","journal-title":"Human Brain Mapping"},{"key":"358_CR72","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1016\/j.pscychresns.2016.05.005","volume":"254","author":"J O\u2019Neill","year":"2016","unstructured":"O\u2019Neill, J., Lai, T., Sheen, C., Salgari, G., Ly, R., Armstrong, C., Chang, S., Levitt, J., Salamon, N., Alger, J., & Feusner, J. (2016). Cingulate and thalamic metabolites in obsessive-compulsive disorder. Psychiatry Research, 254, 34\u201340.","journal-title":"Psychiatry Research"},{"issue":"10","key":"358_CR73","doi-asserted-by":"publisher","first-page":"2125","DOI":"10.1017\/S0033291713002766","volume":"44","author":"B Olatunji","year":"2014","unstructured":"Olatunji, B., Ferreira-Garcia, R., Caseras, X., Fullana, M., Wooderson, S., Speckens, A., Lawrence, N., Giampietro, V., Brammer, M., Phillips, M., Fontenelle, L., & Mataix-Cols, D. (2014). Predicting response to cognitive behavioral therapy in contamination-based obsessive-compulsive disorder from functional magnetic resonance imaging. Psychological Medicine, 44(10), 2125\u20132137.","journal-title":"Psychological Medicine"},{"key":"358_CR74","doi-asserted-by":"publisher","first-page":"211","DOI":"10.2147\/PRBM.S75106","volume":"8","author":"J O'Neill","year":"2015","unstructured":"O'Neill, J., & Feusner, J. (2015). Cognitive-behavioral therapy for obsessive-compulsive disorder: Access to treatment, prediction of long-term outcome with neuroimaging. Psychology Research and Behavior Management, 8, 211\u2013223.","journal-title":"Psychology Research and Behavior Management"},{"key":"358_CR75","doi-asserted-by":"publisher","first-page":"536","DOI":"10.1016\/j.neuroimage.2014.10.044","volume":"105","author":"JD Power","year":"2015","unstructured":"Power, J. D., Schlaggar, B. L., & Petersen, S. E. (2015). Recent progress and outstanding issues in motion correction in resting state fMRI. Neuroimage, 105, 536\u2013551.","journal-title":"Neuroimage"},{"key":"358_CR76","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1016\/j.neulet.2017.01.024","volume":"640","author":"L Qiu","year":"2017","unstructured":"Qiu, L., Fu, X., Wang, S., Tang, Q., Chen, X., Cheng, L., Zhang, F., Zhou, Z., & Tian, L. (2017). Abnormal regional spontaneous neuronal activity associated with symptom severity in treatment-naive patients with obsessive-compulsive disorder revealed by resting-state functional MRI. Neuroscience Letters, 640, 99\u2013104.","journal-title":"Neuroscience Letters"},{"issue":"1","key":"358_CR77","doi-asserted-by":"publisher","first-page":"717","DOI":"10.1016\/j.neuroimage.2011.11.061","volume":"60","author":"M Raemaekers","year":"2012","unstructured":"Raemaekers, M., du Plessis, S., Ramsey, N., Weusten, J., & Vink, M. (2012). Test-retest variability underlying fMRI measurements. Neuroimage, 60(1), 717\u2013727.","journal-title":"Neuroimage"},{"issue":"6","key":"358_CR78","doi-asserted-by":"publisher","first-page":"2843","DOI":"10.1002\/hbm.23551","volume":"38","author":"D Rangaprakash","year":"2017","unstructured":"Rangaprakash, D., Deshpande, G., Daniel, T., Goodman, A., Robinson, J., Salibi, N., Katz, J., Denney, T., & Dretsch, M. (2017a). Compromised hippocampus-striatum pathway as a potential imaging biomarker of mild traumatic brain injury and posttraumatic stress disorder. Human Brain Mapping, 38(6), 2843\u20132864.","journal-title":"Human Brain Mapping"},{"key":"358_CR79","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1016\/j.nicl.2017.07.016","volume":"16","author":"D Rangaprakash","year":"2017","unstructured":"Rangaprakash, D., Dretsch, M. N., Yan, W., Katz, J. S., Denney, T. S., & Deshpande, G. (2017b). Hemodynamic variability in soldiers with trauma: Implications for functional MRI connectivity studies. NeuroImage: Clinical, 16, 409\u2013417.","journal-title":"NeuroImage: Clinical"},{"key":"358_CR80","doi-asserted-by":"publisher","first-page":"558","DOI":"10.1016\/j.dib.2017.07.072","volume":"14","author":"D Rangaprakash","year":"2017","unstructured":"Rangaprakash, D., Dretsch, M. N., Yan, W., Katz, J. S., Denney, T. S., & Deshpande, G. (2017c). Hemodynamic response function parameters obtained from resting-state functional MRI data in soldiers with trauma. Data in Brief, 14, 558\u2013562.","journal-title":"Data in Brief"},{"issue":"1","key":"358_CR82","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1002\/hbm.23841","volume":"39","author":"D Rangaprakash","year":"2018","unstructured":"Rangaprakash, D., Dretsch, M., Venkatraman, A., Katz, J., Denney, T., & Deshpande, G. (2018a). Identifying disease foci from static and dynamic effective connectivity networks: Illustration in soldiers with trauma. Human Brain Mapping, 39(1), 264\u2013287.","journal-title":"Human Brain Mapping"},{"key":"358_CR83","doi-asserted-by":"crossref","unstructured":"Rangaprakash, D., Wu, G.-R., Marinazzo, D., Hu, X., & Deshpande, G. (2018b). Hemodynamic response function (HRF) variability confounds resting-state fMRI functional connectivity. Magnetic Resonance in Medicine, 80(4), 1697\u20131713.","DOI":"10.1002\/mrm.27146"},{"key":"358_CR84","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/j.eurpsy.2017.08.001","volume":"46","author":"A Rasgon","year":"2017","unstructured":"Rasgon, A., Lee, W., Leibu, E., Laird, A., Glahn, D., Goodman, W., & Frangou, S. (2017). Neural correlates of affective and non-affective cognition in obsessive compulsive disorder: A meta-analysis of functional imaging studies. European Psychiatry, 46, 25\u201332.","journal-title":"European Psychiatry"},{"issue":"2","key":"358_CR85","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1002\/(SICI)1097-0193(1997)5:2<124::AID-HBM6>3.0.CO;2-5","volume":"5","author":"S Rauch","year":"1997","unstructured":"Rauch, S., Whalen, P., Savage, C., Curran, T., Kendrick, A., Brown, H., Bush, G., Breiter, H., & Rosen, B. (1997). Striatal recruitment during an implicit sequence learning task as measured by functional magnetic resonance imaging. Human Brain Mapping, 5(2), 124\u2013132.","journal-title":"Human Brain Mapping"},{"key":"358_CR86","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1016\/j.dcn.2013.07.003","volume":"6","author":"C Reynell","year":"2013","unstructured":"Reynell, C., & Harris, J. (2013). The BOLD signal and neurovascular coupling in autism. Developmental Cognitive Neuroscience, 6, 72\u201379.","journal-title":"Developmental Cognitive Neuroscience"},{"issue":"2","key":"358_CR87","doi-asserted-by":"publisher","first-page":"807","DOI":"10.1016\/j.neuroimage.2010.09.052","volume":"54","author":"S Ryali","year":"2011","unstructured":"Ryali, S., Supekar, K., Chen, T., & Menon, V. (2011). Multivariate dynamical systems models for estimating causal interactions in fMRI. Neuroimage, 54(2), 807\u2013823.","journal-title":"Neuroimage"},{"key":"358_CR88","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1016\/j.jneumeth.2016.03.010","volume":"268","author":"S Ryali","year":"2016","unstructured":"Ryali, S., Chen, T., Supekar, K., Tu, T., Kochalka, J., Cai, W., & Menon, V. (2016a). Multivariate dynamical systems-based estimation of causal brain interactions in fMRI: Group-level validation using benchmark data, neurophysiological models and human connectome project data. Journal of Neuroscience Methods, 268, 142\u2013153.","journal-title":"Journal of Neuroscience Methods"},{"key":"358_CR89","doi-asserted-by":"publisher","first-page":"398","DOI":"10.1016\/j.neuroimage.2016.02.067","volume":"132","author":"S Ryali","year":"2016","unstructured":"Ryali, S., Shih, Y., Chen, T., Kochalka, J., Albaugh, D., Fang, Z., Supekar, K., Lee, J., & Menon, V. (2016b). Combining optogenetic stimulation and fMRI to validate a multivariate dynamical systems model for estimating causal brain interactions. Neuroimage, 132, 398\u2013405.","journal-title":"Neuroimage"},{"issue":"1","key":"358_CR90","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1089\/brain.2012.0080","volume":"2","author":"ZS Saad","year":"2012","unstructured":"Saad, Z. S., Gotts, S. J., Murphy, K., Chen, G., Jo, H. J., Martin, A., & Cox, R. W. (2012). Trouble at rest: How correlation patterns and group differences become distorted after global signal regression. Brain Connectivity, 2(1), 25\u201332.","journal-title":"Brain Connectivity"},{"issue":"3","key":"358_CR91","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1016\/S0193-953X(05)70181-7","volume":"23","author":"S Saxena","year":"2000","unstructured":"Saxena, S., & Rauch, S. (2000). Functional neuroimaging and the neuroanatomy of obsessive-compulsive disorder. The Psychiatric Clinics of North America, 23(3), 563\u2013586.","journal-title":"The Psychiatric Clinics of North America"},{"issue":"2","key":"358_CR92","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1038\/sj.mp.4002134","volume":"14","author":"S Saxena","year":"2009","unstructured":"Saxena, S., Gorbis, E., O'Neill, J., Baker, S., Mandelkern, M., Maidment, K., Chang, S., Salamon, N., Brody, A., Schwartz, J., & London, E. (2009). Rapid effects of brief intensive cognitive-behavioral therapy on brain glucose metabolism in obsessive-compulsive disorder. Molecular Psychiatry, 14(2), 197\u2013205.","journal-title":"Molecular Psychiatry"},{"issue":"11","key":"358_CR93","doi-asserted-by":"publisher","first-page":"2941","DOI":"10.1523\/JNEUROSCI.3401-04.2005","volume":"25","author":"C Seger","year":"2005","unstructured":"Seger, C., & Cincotta, C. (2005). The roles of the caudate nucleus in human classification learning. Journal of Neuroscience, 25(11), 2941\u20132951.","journal-title":"Journal of Neuroscience"},{"issue":"5","key":"358_CR94","doi-asserted-by":"publisher","first-page":"1155","DOI":"10.1109\/TMI.2014.2379914","volume":"34","author":"K Sreenivasan","year":"2015","unstructured":"Sreenivasan, K., Havlicek, M., & Deshpande, G. (2015). Non-parametric hemodynamic deconvolution of fMRI using homomorphic filtering. IEEE Transactions on Medical Imaging, 34(5), 1155\u20131163.","journal-title":"IEEE Transactions on Medical Imaging"},{"issue":"5","key":"358_CR95","doi-asserted-by":"publisher","first-page":"e36356","DOI":"10.1371\/journal.pone.0036356","volume":"7","author":"E Stern","year":"2012","unstructured":"Stern, E., Fitzgerald, K., Welsh, R., Abelson, J., & Taylor, S. (2012). Resting-state functional connectivity between fronto-parietal and default mode networks in obsessive-compulsive disorder. PLoS One, 7(5), e36356.","journal-title":"PLoS One"},{"key":"358_CR96","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1016\/j.jad.2014.10.017","volume":"172","author":"R Tadayonnejad","year":"2015","unstructured":"Tadayonnejad, R., Yang, S., Kumar, A., & Ajilore, O. (2015). Clinical, cognitive, and functional connectivity correlations of resting-state intrinsic brain activity alterations in unmedicated depression. Journal of Affective Disorders, 172, 241\u2013250.","journal-title":"Journal of Affective Disorders"},{"key":"358_CR97","doi-asserted-by":"publisher","first-page":"15","DOI":"10.3389\/fphys.2012.00015","volume":"3","author":"E Tagliazucchi","year":"2012","unstructured":"Tagliazucchi, E., Balenzuela, P., Fraiman, D., & Chialvo, D. R. (2012). Criticality in large-scale brain FMRI dynamics unveiled by a novel point process analysis. Frontiers in physiology, 3, 15.","journal-title":"Frontiers in physiology"},{"key":"358_CR98","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/j.bbr.2016.07.004","volume":"313","author":"W Tang","year":"2016","unstructured":"Tang, W., Zhu, Q., Gong, X., Zhu, C., Wang, Y., & Chen, S. (2016). Cortico-striato-thalamo-cortical circuit abnormalities in obsessive-compulsive disorder: A voxel-based morphometric and fMRI study of the whole brain. Behavioural Brain Research, 313, 17\u201322.","journal-title":"Behavioural Brain Research"},{"key":"358_CR99","doi-asserted-by":"publisher","first-page":"322","DOI":"10.1016\/j.neuroimage.2018.02.061","volume":"173","author":"A Taylor","year":"2018","unstructured":"Taylor, A., Kim, J., & Ress, D. (2018). Characterization of the hemodynamic response function across the majority of human cerebral cortex. Neuroimage, 173, 322\u2013331.","journal-title":"Neuroimage"},{"issue":"5","key":"358_CR100","doi-asserted-by":"publisher","first-page":"810","DOI":"10.1016\/j.euroneuro.2015.12.005","volume":"26","author":"O van den Heuvel","year":"2016","unstructured":"van den Heuvel, O., van Wingen, G., Soriano-Mas, C., Alonso, P., Chamberlain, S., Nakamae, T., Denys, D., Goudriaan, A., & Veltman, D. (2016). Brain circuitry of compulsivity. European Neuropsychopharmacology, 26(5), 810\u2013827.","journal-title":"European Neuropsychopharmacology"},{"issue":"1","key":"358_CR101","doi-asserted-by":"publisher","first-page":"17464","DOI":"10.1038\/s41598-017-17593-7","volume":"7","author":"AL van der Straten","year":"2017","unstructured":"van der Straten, A. L., Denys, D., & van Wingen, G. A. (2017). Impact of treatment on resting cerebral blood flow and metabolism in obsessive compulsive disorder: a meta-analysis. Scientific reports, 7(1), 17464.","journal-title":"Scientific reports"},{"key":"358_CR102","doi-asserted-by":"crossref","unstructured":"Wang, Y., Katwal, S., Rogers, B., Gore, J., & Deshpande, G. (2017a). Experimental Validation of Dynamic Granger Causality for Inferring Stimulus-Evoked Sub-100 ms Timing Differences from fMRI. IEEE transactions on neural systems and rehabilitation engineering, 25(6), 539\u2013546.","DOI":"10.1109\/TNSRE.2016.2593655"},{"key":"358_CR103","doi-asserted-by":"crossref","unstructured":"Wang, Y., David, O., Hu, X., & Deshpande, G. (2017b). Can Patel\u2019s \u03c4 accurately estimate directionality of connections in brain networks from fMRI? Magnetic Resonance in Medicine, 78(5), 2003\u20132010.","DOI":"10.1002\/mrm.26583"},{"issue":"1","key":"358_CR105","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1080\/87565641.2013.839682","volume":"39","author":"S Wen","year":"2014","unstructured":"Wen, S., Cheng, M., Cheng, M., Yue, J., Li, J., & Xie, L. (2014). Neurocognitive dysfunction and regional cerebral blood flow in medically na\u00efve patients with obsessive-compulsive disorder. Developmental Neuropsychology, 39(1), 37\u201350.","journal-title":"Developmental Neuropsychology"},{"issue":"3","key":"358_CR106","doi-asserted-by":"publisher","first-page":"365","DOI":"10.1016\/j.media.2013.01.003","volume":"17","author":"G Wu","year":"2013","unstructured":"Wu, G., Liao, W., Stramaglia, S., Ding, J., Chen, H., & Marinazzo, D. (2013). A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data. Medical Image Analysis, 17(3), 365\u2013374.","journal-title":"Medical Image Analysis"},{"key":"358_CR107","doi-asserted-by":"publisher","first-page":"242","DOI":"10.1016\/j.pscychresns.2008.07.004","volume":"172","author":"T Yamanishi","year":"2009","unstructured":"Yamanishi, T., Nakaaki, S., Omori, I., Hashimoto, N., Shinagawa, Y., Hongo, J., Horikoshi, M., Tohyama, J., Akechi, T., Soma, T., Iidaka, T., & Furukawa, T. (2009). Changes after behavior therapy among responsive and nonresponsive patients with obsessive\u2013compulsive disorder. Psychiatry Research: Neuroimaging, 172, 242\u2013250.","journal-title":"Psychiatry Research: Neuroimaging"},{"key":"358_CR108","doi-asserted-by":"crossref","unstructured":"Yan, W., Rangaprakash, D., & Deshpande, G. (2018a). Estimated hemodynamic response function parameters obtained from resting state BOLD fMRI signals in subjects with autism spectrum disorder and matched healthy subjects.\u00a0Data in brief,\u00a019, 1305\u20131309","DOI":"10.1016\/j.dib.2018.04.126"},{"key":"358_CR109","doi-asserted-by":"publisher","first-page":"320","DOI":"10.1016\/j.nicl.2018.04.013","volume":"19","author":"W Yan","year":"2018","unstructured":"Yan, W., Rangaprakash, D., & Deshpande, G. (2018b). Aberrant hemodynamic responses in autism: Implications for resting state fMRI functional connectivity studies. NeuroImage: Clinical, 19, 320\u2013330.","journal-title":"NeuroImage: Clinical"},{"key":"358_CR110","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1016\/j.jad.2015.07.048","volume":"188","author":"X-Y Yang","year":"2015","unstructured":"Yang, X.-Y., Sun, J., Luo, J., Zhong, Z.-X., Li, P., Yao, S.-M., Xiong, H.-F., Huang, F.-F., & Li, Z.-J. (2015). Regional homogeneity of spontaneous brain activity in adult patients with obsessive\u2013compulsive disorder before and after cognitive behavioural therapy. Journal of Affective Disorders, 188, 243\u2013251.","journal-title":"Journal of Affective Disorders"},{"issue":"2","key":"358_CR111","doi-asserted-by":"publisher","first-page":"1432","DOI":"10.1016\/j.neuroimage.2009.09.037","volume":"49","author":"X Zuo","year":"2010","unstructured":"Zuo, X., Di Martino, A., Kelly, C., Shehzad, Z., Gee, D., Klein, D., Castellanos, F., Biswal, B., & Milham, M. (2010). The oscillating brain: Complex and reliable. Neuroimage, 49(2), 1432\u20131445.","journal-title":"Neuroimage"},{"key":"358_CR112","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1016\/j.neubiorev.2015.02.002","volume":"52","author":"N Z\u00fcrcher","year":"2015","unstructured":"Z\u00fcrcher, N., Bhanot, A., McDougle, C., & Hooker, J. (2015). A systematic review of molecular imaging (PET and SPECT) in autism spectrum disorder: Current state and future research opportunities. Neuroscience and Biobehavioral Reviews, 52, 56\u201373.","journal-title":"Neuroscience and Biobehavioral Reviews"},{"issue":"7","key":"358_CR113","doi-asserted-by":"publisher","first-page":"617","DOI":"10.1007\/s00406-012-0304-0","volume":"262","author":"B Zurowski","year":"2012","unstructured":"Zurowski, B., Kordon, A., Weber-Fahr, W., Voderholzer, U., Kuelz, A., Freyer, T., Wahl, K., B\u00fcchel, C., & Hohagen, F. (2012). Relevance of orbitofrontal neurochemistry for the outcome of cognitive-behavioural therapy in patients with obsessive\u2013compulsive disorder. European Archives of Psychiatry and Clinical Neuroscience, 262(7), 617\u2013624.","journal-title":"European Archives of Psychiatry and Clinical Neuroscience"}],"container-title":["Brain Imaging and Behavior"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11682-020-00358-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11682-020-00358-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11682-020-00358-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,5]],"date-time":"2021-08-05T20:02:34Z","timestamp":1628193754000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11682-020-00358-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,6]]},"references-count":109,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2021,6]]}},"alternative-id":["358"],"URL":"https:\/\/doi.org\/10.1007\/s11682-020-00358-8","relation":{},"ISSN":["1931-7557","1931-7565"],"issn-type":[{"value":"1931-7557","type":"print"},{"value":"1931-7565","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,8,6]]},"assertion":[{"value":"6 August 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"All the authors (D.R., R.T., G.D, J.O., J.D.F.) declare no conflicts of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"All procedures involving human participants were in accordance with the ethical standards of the institutional research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. UCLA institutional review board (IRB) approved the study procedures.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"Written informed consent was obtained from all individual participants included in the study.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}]}}