title: Validation of a novel hemodynamic model for coherent hemodynamics spectroscopy (CHS) and functional brain studies with fNIRS and fMRI.
abstract: We report an experimental validation and applications of the new hemodynamic model presented in the companion article (Fantini, 2014-this issue) both in the frequency domain and in the time domain. In the frequency domain, we have performed diffuse optical measurements for coherent hemodynamics spectroscopy (CHS) on the brain and calf muscle of human subjects, showing that the hemodynamic model predictions (both in terms of spectral shapes and absolute spectral values) are confirmed experimentally. We show how the quantitative analysis based on the new model allows for autoregulation measurements from brain data, and provides an analytical description of near-infrared spiroximetry from muscle data. In the time domain, we have used data from the literature to perform a comparison between brain activation signals measured with functional near-infrared spectroscopy (fNIRS) or with blood oxygenation level dependent (BOLD) fMRI, and the corresponding signals predicted by the new model. This comparison shows an excellent agreement between the model predictions and the reported fNIRS and BOLD fMRI signals. This new hemodynamic model provides a valuable tool for brain studies with hemodynamic-based techniques.
authors.affiliation: Department of Biomedical Engineering, Tufts University, Medford, MA 02155, USA. Electronic address: michele.pierro@tufts.edu.
authors.forename: Michele L
authors.initials: ML
authors.lastname: Pierro
authors.forename: Bertan
authors.initials: B
authors.lastname: Hallacoglu
authors.forename: Angelo
authors.initials: A
authors.lastname: Sassaroli
authors.forename: Jana M
authors.initials: JM
authors.lastname: Kainerstorfer
authors.forename: Sergio
authors.initials: S
authors.lastname: Fantini
mesh_terms: D000328:Adult; D000465:Algorithms; D001921:Brain / Q000033:anatomy & histology* / Q000098:blood supply; D002560:Cerebrovascular Circulation / Q000502:physiology*; D003627:Data Interpretation, Statistical; D005260:Female; D059907:Functional Neuroimaging / Q000379:methods*; D006439:Hemodynamics / Q000502:physiology*; D006801:Humans; D007866:Leg / Q000098:blood supply; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D015233:Models, Statistical; D010100:Oxygen / Q000097:blood; D012039:Regional Blood Flow / Q000502:physiology; D015203:Reproducibility of Results; D015656:Respiratory Mechanics / Q000502:physiology; D019265:Spectroscopy, Near-Infrared / Q000379:methods*
chemical_list: D010100:Oxygen
keywords: Cerebral autoregulation; Cerebral hemodynamics; Coherent hemodynamic oscillations; Functional magnetic resonance imaging; Functional near-infrared spectroscopy; Phasor analysis
references.citation: J Biomed Opt. 2006 Sep-Oct;11(5):054007
references.pmid: 17092156
references.citation: J Biomed Opt. 2010 May-Jun;15(3):037010
references.pmid: 20615039
references.citation: J Cereb Blood Flow Metab. 2004 Dec;24(12):1382-92
references.pmid: 15625412
references.citation: Clin Sci (Lond). 2004 Feb;106(2):155-62
references.pmid: 14521507
references.citation: Neuroimage. 2014 Jan 15;85 Pt 1:202-21
references.pmid: 23583744
references.citation: J Cereb Blood Flow Metab. 2003 Aug;23(8):911-24
references.pmid: 12902835
references.citation: Neuroimage. 2000 Dec;12(6):623-39
references.pmid: 11112395
references.citation: J Biomed Opt. 2007 Jan-Feb;12(1):014033
references.pmid: 17343508
references.citation: Phys Med Biol. 2003 Aug 7;48(15):2405-18
references.pmid: 12953906
references.citation: Opt Lett. 2004 Aug 1;29(15):1766-8
references.pmid: 15352363
references.citation: J Hypertens. 2000 Nov;18(11):1635-44
references.pmid: 11081777
references.citation: J Cereb Blood Flow Metab. 2003 Nov;23(11):1314-23
references.pmid: 14600439
references.citation: Neuroimage. 2004 Jan;21(1):144-53
references.pmid: 14741651
references.citation: J Cereb Blood Flow Metab. 2007 Apr;27(4):690-6
references.pmid: 17033688
references.citation: Neuroimage. 2012 Sep;62(3):1445-54
references.pmid: 22659481
references.citation: Neuroimage. 2008 Apr 15;40(3):1116-29
references.pmid: 18289880
references.citation: J Biomed Opt. 2010 Jul-Aug;15(4):040512
references.pmid: 20799778
references.citation: J Cereb Blood Flow Metab. 1999 Jun;19(6):679-89
references.pmid: 10366199
references.citation: Physiol Meas. 2003 Feb;24(1):27-43
references.pmid: 12636185
references.citation: Stroke. 2007 May;38(5):1465-9
references.pmid: 17413049
references.citation: Physiol Meas. 2009 Jan;30(1):1-12
references.pmid: 19039165
references.citation: Neurosci Lett. 2000 Mar 17;282(1-2):101-4
references.pmid: 10713406
references.citation: Am J Physiol. 1998 Jan;274(1 Pt 2):H233-41
references.pmid: 9458872
references.citation: Crit Care Med. 2001 Jan;29(1):158-63
references.pmid: 11176177
references.citation: J Neurol Sci. 2006 Dec 1;250(1-2):103-9
references.pmid: 17011584
references.citation: J Appl Physiol (1985). 2002 Jan;92(1):372-84
references.pmid: 11744680
references.citation: NMR Biomed. 2001 Nov-Dec;14(7-8):413-31
references.pmid: 11746934
references.citation: Math Biosci. 2006 Dec;204(2):260-81
references.pmid: 17010387
references.citation: Magn Reson Med. 1998 Jun;39(6):855-64
references.pmid: 9621908
references.citation: J Appl Physiol (1985). 2009 Jan;106(1):153-60
references.pmid: 18974368
references.citation: Neuroimage. 2012 Nov 15;63(3):1571-84
references.pmid: 22820416
references.citation: Phys Med Biol. 1988 Dec;33(12):1433-42
references.pmid: 3237772
references.citation: Stroke. 1997 Sep;28(9):1686-92
references.pmid: 9303010
references.citation: Neuroimage. 2012 Aug 15;62(2):953-61
references.pmid: 22245339
references.citation: Stroke. 1995 Oct;26(10):1801-4
references.pmid: 7570728
references.citation: IEEE Trans Med Imaging. 2011 Jun;30(6):1239-51
references.pmid: 21296704
references.citation: Phys Med Biol. 2004 Jul 21;49(14):N255-7
references.pmid: 15357206
references.citation: Eur J Clin Invest. 2012 Nov;42(11):1180-8
references.pmid: 22897146