Literature DB >> 16222242

The spatial dependence of the poststimulus undershoot as revealed by high-resolution BOLD- and CBV-weighted fMRI.

Essa Yacoub1, Kamil Ugurbil, Noam Harel.   

Abstract

The hemodynamic response to neural activity consists of changes in blood flow, blood volume and oxygen metabolism. Changes in the vascular state after sensory stimulation have different spatial and temporal characteristics in the brain. This has been shown using imaging techniques, such as BOLD functional magnetic resonance imaging (fMRI), which monitor vascular changes once the stimulus is turned on, and the eventual return to baseline levels, once the stimulus is turned off. The BOLD fMRI signal during sensory stimulation has been well characterized and modeled in terms of the spatial and temporal characteristics of the vascular response. However, the return of the signals to baseline levels after sensory stimulation is not as well characterized. During this period, a poststimulus undershoot in the BOLD signal is observed. This poststimulus undershoot has been modeled and investigated to characterize the physiological mechanisms (cerebral blood flow (CBF), cerebral blood volume (CBV), and cerebral oxygen consumption) associated with the response. However, the data in the literature, which lack any spatially dependent information, appear to be contradictory in terms of the mechanisms associated with this poststimulus response. With a high spatial resolution cat model at 9.4 T, we show that CBV changes in the tissue persist once the stimulus is turned off, while CBV changes in the surface vessels quickly return to baseline levels, despite a concurrent undershoot in the BOLD signal in both the tissue and surface vessel areas. In addition, the BOLD data alone indicate that different physiological mechanisms regulate the poststimulus response in the tissue versus the surface vessel regions.

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Year:  2006        PMID: 16222242     DOI: 10.1038/sj.jcbfm.9600239

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  38 in total

Review 1.  Biophysical and physiological origins of blood oxygenation level-dependent fMRI signals.

Authors:  Seong-Gi Kim; Seiji Ogawa
Journal:  J Cereb Blood Flow Metab       Date:  2012-03-07       Impact factor: 6.200

2.  Exploring the post-stimulus undershoot with spin-echo fMRI: implications for models of neurovascular response.

Authors:  Benedikt A Poser; Emily van Mierlo; David G Norris
Journal:  Hum Brain Mapp       Date:  2011-01       Impact factor: 5.038

Review 3.  IRON fMRI measurements of CBV and implications for BOLD signal.

Authors:  Joseph B Mandeville
Journal:  Neuroimage       Date:  2012-01-16       Impact factor: 6.556

4.  Improved spatial localization of post-stimulus BOLD undershoot relative to positive BOLD.

Authors:  Fuqiang Zhao; Tao Jin; Ping Wang; Seong-Gi Kim
Journal:  Neuroimage       Date:  2006-12-11       Impact factor: 6.556

5.  Depth-resolved optical imaging and microscopy of vascular compartment dynamics during somatosensory stimulation.

Authors:  Elizabeth M C Hillman; Anna Devor; Matthew B Bouchard; Andrew K Dunn; G W Krauss; Jesse Skoch; Brian J Bacskai; Anders M Dale; David A Boas
Journal:  Neuroimage       Date:  2007-01-11       Impact factor: 6.556

6.  Complex spatio-temporal dynamics of fMRI BOLD: A study of motor learning.

Authors:  Eugene Duff; Jinhu Xiong; Binquan Wang; Ross Cunnington; Peter Fox; Gary Egan
Journal:  Neuroimage       Date:  2006-11-01       Impact factor: 6.556

7.  Functional MRI impulse response for BOLD and CBV contrast in rat somatosensory cortex.

Authors:  Afonso C Silva; Alan P Koretsky; Jeff H Duyn
Journal:  Magn Reson Med       Date:  2007-06       Impact factor: 4.668

8.  Improved cortical-layer specificity of vascular space occupancy fMRI with slab inversion relative to spin-echo BOLD at 9.4 T.

Authors:  Tao Jin; Seong-Gi Kim
Journal:  Neuroimage       Date:  2007-12-08       Impact factor: 6.556

9.  CBF, BOLD, CBV, and CMRO(2) fMRI signal temporal dynamics at 500-msec resolution.

Authors:  Qiang Shen; Hongxia Ren; Timothy Q Duong
Journal:  J Magn Reson Imaging       Date:  2008-03       Impact factor: 4.813

10.  Discriminating brain activity from task-related artifacts in functional MRI: fractal scaling analysis simulation and application.

Authors:  Jae-Min Lee; Jing Hu; Jianbo Gao; Bruce Crosson; Kyung K Peck; Christina E Wierenga; Keith McGregor; Qun Zhao; Keith D White
Journal:  Neuroimage       Date:  2007-11-22       Impact factor: 6.556

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