scholarly journals Vascular Reactivity Maps in Patients with Gliomas Using Breath-Holding BOLD fMRI

2015 ◽  
Vol 26 (2) ◽  
pp. 232-239 ◽  
Author(s):  
Amir Iranmahboob ◽  
Kyung K. Peck ◽  
Nicole P. Brennan ◽  
Sasan Karimi ◽  
Ryan Fisicaro ◽  
...  
2017 ◽  
Author(s):  
Henning U. Voss ◽  
Kyung K. Peck ◽  
Nicole M. Petrovich Brennan ◽  
Andrei I. Holodny

AbstractPurposePreoperative functional MRI (fMRI) is limited by a muted BOLD response caused by abnormal vasoreactivity and resultant neurovascular uncoupling adjacent to malignant brain tumors. We propose to overcome this limitation and more accurately identify eloquent areas adjacent to brain tumors by independently assessing vasoreactivity using breath-holding and incorporating these data into the BOLD analysis.MethodsLocal vasoreactivity using a breath-holding paradigm with the same timing as the functional motor and language tasks was determined in 16 patients (9 glioblastomas, 1 anaplastic astrocytoma, 5 low grade astrocytomas, and 1 metastasis). We derived a model based on coherence for analyzing BOLD fMRI that takes into account the altered hemodynamics adjacent to brain tumors.ResultsActivation maps computed using the coherence model were overall similar to standard activation maps. However, the coherence maps demonstrated clinically meaningful areas of activation that were not seen using the standard method in 12/16 cases. This included localization of language areas adjacent to brain tumors, where the coherence method results were confirmed by intra-operative direct cortical stimulation. Enhanced task response maps based on vasoreactivity mapping demonstrated more robust, anatomically-correct activation, in particular adjacent to tumors as compared to maps obtained without vasoreactivity information.ConclusionsThe present preliminary results demonstrate the principle that the neurovascular uncoupling known to affect the accuracy of BOLD fMRI adjacent to brain tumors may be, at least partially, overcome by incorporating an independent measurement of vasoreactivity into the BOLD analysis.


2006 ◽  
Vol 28 (1) ◽  
pp. 59-68 ◽  
Author(s):  
Moriah E. Thomason ◽  
Lara C. Foland ◽  
Gary H. Glover

2004 ◽  
Vol 14 (8) ◽  
Author(s):  
Shinji Naganawa ◽  
Tokiko Koshikawa ◽  
Hiroshi Fukatsu ◽  
Takeo Ishigaki ◽  
Katsuya Maruyama ◽  
...  

2016 ◽  
Vol 37 (7) ◽  
pp. 2526-2538 ◽  
Author(s):  
Hesamoddin Jahanian ◽  
Thomas Christen ◽  
Michael E Moseley ◽  
Nicholas M Pajewski ◽  
Clinton B Wright ◽  
...  

Measurement of the ability of blood vessels to dilate and constrict, known as vascular reactivity, is often performed with breath-holding tasks that transiently raise arterial blood carbon dioxide (PaCO2) levels. However, following the proper commands for a breath-holding experiment may be difficult or impossible for many patients. In this study, we evaluated two approaches for obtaining vascular reactivity information using blood oxygenation level-dependent signal fluctuations obtained from resting-state functional magnetic resonance imaging data: physiological fluctuation regression and coefficient of variation of the resting-state functional magnetic resonance imaging signal. We studied a cohort of 28 older adults (69 ± 7 years) and found that six of them (21%) could not perform the breath-holding protocol, based on an objective comparison with an idealized respiratory waveform. In the subjects that could comply, we found a strong linear correlation between data extracted from spontaneous resting-state functional magnetic resonance imaging signal fluctuations and the blood oxygenation level-dependent percentage signal change during breath-holding challenge ( R2 = 0.57 and 0.61 for resting-state physiological fluctuation regression and resting-state coefficient of variation methods, respectively). This technique may eliminate the need for subject cooperation, thus allowing the evaluation of vascular reactivity in a wider range of clinical and research conditions in which it may otherwise be impractical.


2018 ◽  
Vol 82 (5) ◽  
pp. 21 ◽  
Author(s):  
I. N. Pronin ◽  
A. I. Batalov ◽  
N. E. Zakharova ◽  
L. M. Fadeeva ◽  
E. L. Pogosbekyan ◽  
...  

Author(s):  
Chun‐Ming Chen ◽  
Hui‐Chieh Yang ◽  
Hsin‐Hua Hsieh ◽  
Tsai‐Ying Liao ◽  
Yen‐Chih Huang ◽  
...  

2021 ◽  
Vol 226 (4) ◽  
pp. 1229-1239
Author(s):  
Kai Chen ◽  
Hang Yang ◽  
Heming Zhang ◽  
Chun Meng ◽  
Benjamin Becker ◽  
...  

2021 ◽  
Vol 1 (2) ◽  
pp. 100021
Author(s):  
Jörg Larsen ◽  
Kai Kallenberg ◽  
Johanna Rühlmann ◽  
Jürgen Baudewig ◽  
Eike A. Nickel ◽  
...  

2002 ◽  
Vol 11 (3) ◽  
pp. 160-163 ◽  
Author(s):  
J. Zatik ◽  
J. Aranyosi ◽  
G. Settakis ◽  
D. PÁll ◽  
Z. Tóth ◽  
...  

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