Literature DB >> 32070180

Impact of physiological noise in characterizing the functional MRI default-mode network in Alzheimer's disease.

Yi-Tien Li1,2, Chun-Yuan Chang3, Yi-Cheng Hsu1, Jong-Ling Fuh4,5, Wen-Jui Kuo6, Jhy-Neng Tasso Yeh1, Fa-Hsuan Lin7,8,9.   

Abstract

The functional connectivity of the default-mode network (DMN) monitored by functional magnetic resonance imaging (fMRI) in Alzheimer's disease (AD) patients has been found weaker than that in healthy participants. Since breathing and heart beating can cause fluctuations in the fMRI signal, these physiological activities may affect the fMRI data differently between AD patients and healthy participants. We collected resting-state fMRI data from AD patients and age-matched healthy participants. With concurrent cardiac and respiratory recordings, we estimated both physiological responses phase-locked and non-phase-locked to heart beating and breathing. We found that the cardiac and respiratory physiological responses in AD patients were 3.00 ± 0.51 s and 3.96 ± 0.52 s later (both p < 0.0001) than those in healthy participants, respectively. After correcting the physiological noise in the resting-state fMRI data by population-specific physiological response functions, the DMN estimated by seed-correlation was more localized to the seed region. The DMN difference between AD patients and healthy controls became insignificant after suppressing physiological noise. Our results indicate the importance of controlling physiological noise in the resting-state fMRI analysis to obtain clinically related characterizations in AD.

Entities:  

Keywords:  Respiratory response function; cardiac response function; classification; fMRI; network; physiological noise; resting-state

Mesh:

Year:  2020        PMID: 32070180      PMCID: PMC7747160          DOI: 10.1177/0271678X19897442

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


  51 in total

1.  Physiological noise in oxygenation-sensitive magnetic resonance imaging.

Authors:  G Krüger; G H Glover
Journal:  Magn Reson Med       Date:  2001-10       Impact factor: 4.668

2.  Comparison of physiological noise at 1.5 T, 3 T and 7 T and optimization of fMRI acquisition parameters.

Authors:  C Triantafyllou; R D Hoge; G Krueger; C J Wiggins; A Potthast; G C Wiggins; L L Wald
Journal:  Neuroimage       Date:  2005-05-15       Impact factor: 6.556

3.  The human brain is intrinsically organized into dynamic, anticorrelated functional networks.

Authors:  Michael D Fox; Abraham Z Snyder; Justin L Vincent; Maurizio Corbetta; David C Van Essen; Marcus E Raichle
Journal:  Proc Natl Acad Sci U S A       Date:  2005-06-23       Impact factor: 11.205

4.  The respiration response function: the temporal dynamics of fMRI signal fluctuations related to changes in respiration.

Authors:  Rasmus M Birn; Monica A Smith; Tyler B Jones; Peter A Bandettini
Journal:  Neuroimage       Date:  2007-12-15       Impact factor: 6.556

5.  Integration of motion correction and physiological noise regression in fMRI.

Authors:  Tyler B Jones; Peter A Bandettini; Rasmus M Birn
Journal:  Neuroimage       Date:  2008-05-21       Impact factor: 6.556

6.  The association between cerebrovascular reactivity and resting-state fMRI functional connectivity in healthy adults: The influence of basal carbon dioxide.

Authors:  Ali M Golestani; Jonathan B Kwinta; Stephen C Strother; Yasha B Khatamian; J Jean Chen
Journal:  Neuroimage       Date:  2016-02-23       Impact factor: 6.556

7.  Event-related fMRI: characterizing differential responses.

Authors:  K J Friston; P Fletcher; O Josephs; A Holmes; M D Rugg; R Turner
Journal:  Neuroimage       Date:  1998-01       Impact factor: 6.556

8.  Brain activation induced by the perceptual maze test: a PET study of cognitive performance.

Authors:  P H Ghatan; J C Hsieh; A Wirsén-Meurling; R Wredling; L Eriksson; S Stone-Elander; S Levander; M Ingvar
Journal:  Neuroimage       Date:  1995-06       Impact factor: 6.556

9.  Altered resting state networks in mild cognitive impairment and mild Alzheimer's disease: an fMRI study.

Authors:  Serge A R B Rombouts; Frederik Barkhof; Rutger Goekoop; Cornelis J Stam; Philip Scheltens
Journal:  Hum Brain Mapp       Date:  2005-12       Impact factor: 5.038

Review 10.  Searching for a baseline: functional imaging and the resting human brain.

Authors:  D A Gusnard; M E Raichle; M E Raichle
Journal:  Nat Rev Neurosci       Date:  2001-10       Impact factor: 34.870

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  3 in total

1.  Rude mechanicals in brain haemodynamics: non-neural actors that influence blood flow.

Authors:  Aniruddha Das; Kevin Murphy; Patrick J Drew
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-11-16       Impact factor: 6.671

2.  The Predictive Value of Dynamic Intrinsic Local Metrics in Transient Ischemic Attack.

Authors:  Huibin Ma; Guofeng Huang; Mengting Li; Yu Han; Jiawei Sun; Linlin Zhan; Qianqian Wang; Xize Jia; Xiujie Han; Huayun Li; Yulin Song; Yating Lv
Journal:  Front Aging Neurosci       Date:  2022-02-10       Impact factor: 5.750

3.  Systemic physiology augmented functional near-infrared spectroscopy: a powerful approach to study the embodied human brain.

Authors:  Felix Scholkmann; Ilias Tachtsidis; Martin Wolf; Ursula Wolf
Journal:  Neurophotonics       Date:  2022-07-11       Impact factor: 4.212

  3 in total

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