BOLD signal physiology: Models and applications

被引：53

作者：

Gauthier, C. J. ^{[1
]}

Fan, A. P. ^{[2
]}

机构：

[1] Concordia Univ, Montreal, PQ, Canada

[2] Stanford Univ, Stanford, CA 94305 USA

来源：

NEUROIMAGE | 2019年 / 187卷

关键词：

CEREBRAL-BLOOD-FLOW; OXYGEN EXTRACTION FRACTION; POSITRON-EMISSION-TOMOGRAPHY; LEVEL-DEPENDENT MRI; METABOLIC-RATE; BRAIN OXYGENATION; CARBON-DIOXIDE; FUNCTIONAL MRI; QUANTITATIVE MEASUREMENTS; HEMOGLOBIN CONCENTRATION;

D O I：

10.1016/j.neuroimage.2018.03.018

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

The BOLD contrast mechanism has a complex relationship with functional brain activity, oxygen metabolism, and neurovascular factors. Accurate interpretation of the BOLD signal for neuroscience and clinical applications necessitates a clear understanding of the sources of BOLD contrast and its relationship to underlying physiology. This review describes the physiological components that contribute to the BOLD signal and the steady-state calibrated BOLD models that enable quantification of functional changes with a separate challenge paradigm. The principles derived from these biophysical models are then used to interpret BOLD measurements in different neurological disorders in the presence of confounding vascular factors related to disease.

引用

页码：116 / 127

页数：12

共 50 条

[1] Network models identification of the BOLD signal in fMRI
Romani, S
Amit, JD
REVIEWS IN THE NEUROSCIENCES, 2005, 16 : S53 - S53
[2] <bold>LARGE-SCALE FPAA DEVICES FOR SIGNAL PROCESSING APPLICATIONS</bold>
Twigg, Christopher M.
Hasler, Paul
Anderson, David V.
2007 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL II, PTS 1-3, 2007, : 69 - +
[3] Theory and generalization of Monte Carlo models of the BOLD signal source
Martindale, John
Kennerley, Aneurin J.
Johnston, David
Zheng, Ying
Mayhew, John E.
MAGNETIC RESONANCE IN MEDICINE, 2008, 59 (03) : 607 - 618
[4] Evolutionary Fuzzy Adaptive Motion Models for User Tracking in Augmented Reality Applications<bold> </bold>
Ar, Yilmaz
Unal, Metehan
Sert, Sevgi Yigit
Bostanci, Erkan
Kanwal, Nadia
Guzel, Mehmet Serdar
2018 2ND INTERNATIONAL SYMPOSIUM ON MULTIDISCIPLINARY STUDIES AND INNOVATIVE TECHNOLOGIES (ISMSIT), 2018, : 409 - +
[5] Interpreting the BOLD signal
Logothetis, NK
Wandell, BA
ANNUAL REVIEW OF PHYSIOLOGY, 2004, 66 : 735 - 769
[6] Neurovascular physiology underlying BOLD fMRI: Effects of theophylline on the BOLD response
Morton, DW
Maravilla, KR
Meno, JR
Winn, HR
RADIOLOGY, 1999, 213P : 395 - 395
[7] <bold>Electroencephalograph Signal Analysis During Basarika</bold>
Patil, S. T.
Bormane, D. S.
2006 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING AND COMMUNICATIONS, VOLS 1 AND 2, 2007, : 356 - +
[8] Identification and comparison of stochastic metabolic/hemodynamic models (sMHM) for the generation of the BOLD signal
Sotero, Roberto C.
Trujillo-Barreto, Nelson J.
Jimenez, Juan C.
Carbonell, Felix
Rodriguez-Rojas, Rafael
JOURNAL OF COMPUTATIONAL NEUROSCIENCE, 2009, 26 (02) : 251 - 269
[9] Identification and comparison of stochastic metabolic/hemodynamic models (sMHM) for the generation of the BOLD signal
Roberto C. Sotero
Nelson J. Trujillo-Barreto
Juan C. Jiménez
Felix Carbonell
Rafael Rodríguez-Rojas
Journal of Computational Neuroscience, 2009, 26 : 251 - 269
[10] Nonlinear estimation of the BOLD signal
Johnston, Leigh A.
Duff, Eugene
Mareels, Iven
Egan, Gary F.
NEUROIMAGE, 2008, 40 (02) : 504 - 514

← 1 2 3 4 5 →