Literature DB >> 24008589

Understanding variability in the BOLD signal and why it matters for aging.

Cheryl L Grady1, Douglas D Garrett.   

Abstract

Recent work in neuroscience supports the idea that variability in brain function is necessary for optimal brain responsivity to a changing environment. In this review, we discuss a series of functional magnetic resonance imaging (fMRI) studies in younger and older adults to assess age-related differences in variability of the fMRI signal. This work shows that moment-to-moment brain signal variability represents an important "signal" within what is typically considered measurement-related "noise" in fMRI. This accumulation of evidence suggests that moving beyond the mean will provide a complementary window into aging-related neural processes.

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Year:  2014        PMID： 24008589      PMCID： PMC3922711          DOI： 10.1007/s11682-013-9253-0

Source DB:  PubMed          Journal:  Brain Imaging Behav        ISSN： 1931-7557            Impact factor:   3.978


  53 in total

1.  Neural and vascular variability and the fMRI-BOLD response in normal aging.

Authors:  Sridhar S Kannurpatti; Michael A Motes; Bart Rypma; Bharat B Biswal
Journal:  Magn Reson Imaging       Date:  2010-02-01       Impact factor: 2.546

2.  Bayesian inference with probabilistic population codes.

Authors:  Wei Ji Ma; Jeffrey M Beck; Peter E Latham; Alexandre Pouget
Journal:  Nat Neurosci       Date:  2006-10-22       Impact factor: 24.884

3.  Age differences in deactivation: a link to cognitive control?

Authors:  Jonas Persson; Cindy Lustig; James K Nelson; Patricia A Reuter-Lorenz
Journal:  J Cogn Neurosci       Date:  2007-06       Impact factor: 3.225

4.  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

5.  A multivariate analysis of age-related differences in default mode and task-positive networks across multiple cognitive domains.

Authors:  Cheryl L Grady; Andrea B Protzner; Natasa Kovacevic; Stephen C Strother; Babak Afshin-Pour; Magda Wojtowicz; John A E Anderson; Nathan Churchill; Anthony R McIntosh
Journal:  Cereb Cortex       Date:  2009-09-29       Impact factor: 5.357

6.  The variability of human, BOLD hemodynamic responses.

Authors:  G K Aguirre; E Zarahn; M D'esposito
Journal:  Neuroimage       Date:  1998-11       Impact factor: 6.556

7.  Brain signal variability relates to stability of behavior after recovery from diffuse brain injury.

Authors:  Anjali Raja Beharelle; Natasa Kovačević; Anthony R McIntosh; Brian Levine
Journal:  Neuroimage       Date:  2012-01-11       Impact factor: 6.556

Review 8.  The correlative triad among aging, dopamine, and cognition: current status and future prospects.

Authors:  Lars Bäckman; Lars Nyberg; Ulman Lindenberger; Shu-Chen Li; Lars Farde
Journal:  Neurosci Biobehav Rev       Date:  2006-08-09       Impact factor: 8.989

Review 9.  Moment-to-moment brain signal variability: a next frontier in human brain mapping?

Authors:  Douglas D Garrett; Gregory R Samanez-Larkin; Stuart W S MacDonald; Ulman Lindenberger; Anthony R McIntosh; Cheryl L Grady
Journal:  Neurosci Biobehav Rev       Date:  2013-03-01       Impact factor: 8.989

10.  Functional MRI: A confluence of fortunate circumstances.

Authors:  Peter A Bandettini
Journal:  Neuroimage       Date:  2012-02-06       Impact factor: 6.556
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  59 in total

1.  Acute Alcohol Intake Produces Widespread Decreases in Cortical Resting Signal Variability in Healthy Social Drinkers.

Authors:  Landrew Sevel; Bethany Stennett; Victor Schneider; Nicholas Bush; Sara Jo Nixon; Michael Robinson; Jeff Boissoneault
Journal:  Alcohol Clin Exp Res       Date:  2020-06-18       Impact factor: 3.455

Review 2.  Beyond BOLD: optimizing functional imaging in stroke populations.

Authors:  Michele Veldsman; Toby Cumming; Amy Brodtmann
Journal:  Hum Brain Mapp       Date:  2014-12-02       Impact factor: 5.038

3.  Amphetamine modulates brain signal variability and working memory in younger and older adults.

Authors:  Douglas D Garrett; Irene E Nagel; Claudia Preuschhof; Agnieszka Z Burzynska; Janina Marchner; Steffen Wiegert; Gerhard J Jungehülsing; Lars Nyberg; Arno Villringer; Shu-Chen Li; Hauke R Heekeren; Lars Bäckman; Ulman Lindenberger
Journal:  Proc Natl Acad Sci U S A       Date:  2015-06-01       Impact factor: 11.205

4.  Evaluating Cognitive Relationships with Resting-State and Task-driven Blood Oxygen Level-Dependent Variability.

Authors:  Peter R Millar; Beau M Ances; Brian A Gordon; Tammie L S Benzinger; John C Morris; David A Balota
Journal:  J Cogn Neurosci       Date:  2020-11-02       Impact factor: 3.225

5.  Evaluating resting-state BOLD variability in relation to biomarkers of preclinical Alzheimer's disease.

Authors:  Peter R Millar; Beau M Ances; Brian A Gordon; Tammie L S Benzinger; Anne M Fagan; John C Morris; David A Balota
Journal:  Neurobiol Aging       Date:  2020-08-18       Impact factor: 4.673

6.  Charting moment-to-moment brain signal variability from early to late childhood.

Authors:  Vladimir Miskovic; Max Owens; Karl Kuntzelman; Brandon E Gibb
Journal:  Cortex       Date:  2016-07-15       Impact factor: 4.027

7.  Multiscale energy reallocation during low-frequency steady-state brain response.

Authors:  Yifeng Wang; Wang Chen; Liangkai Ye; Bharat B Biswal; Xuezhi Yang; Qijun Zou; Pu Yang; Qi Yang; Xinqi Wang; Qian Cui; Xujun Duan; Wei Liao; Huafu Chen
Journal:  Hum Brain Mapp       Date:  2018-02-01       Impact factor: 5.038

8.  Individual Differences in Reading Skill Are Related to Trial-by-Trial Neural Activation Variability in the Reading Network.

Authors:  Jeffrey G Malins; Kenneth R Pugh; Bonnie Buis; Stephen J Frost; Fumiko Hoeft; Nicole Landi; W Einar Mencl; Anish Kurian; Ryan Staples; Peter J Molfese; Rose Sevcik; Robin Morris
Journal:  J Neurosci       Date:  2018-02-12       Impact factor: 6.167

9.  Task-evoked pupil dilation and BOLD variance as indicators of locus coeruleus dysfunction.

Authors:  Jeremy A Elman; Matthew S Panizzon; Donald J Hagler; Lisa T Eyler; Eric L Granholm; Christine Fennema-Notestine; Michael J Lyons; Linda K McEvoy; Carol E Franz; Anders M Dale; William S Kremen
Journal:  Cortex       Date:  2017-10-07       Impact factor: 4.027

10.  Signal Complexity of Human Intracranial EEG Tracks Successful Associative-Memory Formation across Individuals.

Authors:  Timothy C Sheehan; Vishnu Sreekumar; Sara K Inati; Kareem A Zaghloul
Journal:  J Neurosci       Date:  2018-01-12       Impact factor: 6.167
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