Literature DB >> 28473644

Moment-to-Moment BOLD Signal Variability Reflects Regional Changes in Neural Flexibility across the Lifespan.

Jason S Nomi1, Taylor S Bolt2, C E Chiemeka Ezie2, Lucina Q Uddin1,3, Aaron S Heller2,3,4.   

Abstract

Variability of neuronal responses is thought to underlie flexible and optimal brain function. Because previous work investigating BOLD signal variability has been conducted within task-based fMRI contexts on adults and older individuals, very little is currently known regarding regional changes in spontaneous BOLD signal variability in the human brain across the lifespan. The current study used resting-state fMRI data from a large sample of male and female human participants covering a wide age range (6-85 years) across two different fMRI acquisition parameters (TR = 0.645 and 1.4 s). Variability in brain regions including a key node of the salience network (anterior insula) increased linearly across the lifespan across datasets. In contrast, variability in most other large-scale networks decreased linearly over the lifespan. These results demonstrate unique lifespan trajectories of BOLD variability related to specific regions of the brain and add to a growing literature demonstrating the importance of identifying normative trajectories of functional brain maturation.SIGNIFICANCE STATEMENT Although brain signal variability has traditionally been considered a source of unwanted noise, recent work demonstrates that variability in brain signals during task performance is related to brain maturation in old age as well as individual differences in behavioral performance. The current results demonstrate that intrinsic fluctuations in resting-state variability exhibit unique maturation trajectories in specific brain regions and systems, particularly those supporting salience detection. These results have implications for investigations of brain development and aging, as well as interpretations of brain function underlying behavioral changes across the lifespan.
Copyright © 2017 the authors 0270-6474/17/375539-10$15.00/0.

Entities:  

Keywords:  BOLD variability; lifespan development; mean square successive difference; resting-state fMRI

Mesh:

Year:  2017        PMID: 28473644      PMCID: PMC5452342          DOI: 10.1523/JNEUROSCI.3408-16.2017

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  36 in total

1.  Brain development during childhood and adolescence: a longitudinal MRI study.

Authors:  J N Giedd; J Blumenthal; N O Jeffries; F X Castellanos; H Liu; A Zijdenbos; T Paus; A C Evans; J L Rapoport
Journal:  Nat Neurosci       Date:  1999-10       Impact factor: 24.884

2.  Transformations in the couplings among intellectual abilities and constituent cognitive processes across the life span.

Authors:  Shu-Chen Li; Ulman Lindenberger; Bernhard Hommel; Gisa Aschersleben; Wolfgang Prinz; Paul B Baltes
Journal:  Psychol Sci       Date:  2004-03

3.  Consistent resting-state networks across healthy subjects.

Authors:  J S Damoiseaux; S A R B Rombouts; F Barkhof; P Scheltens; C J Stam; S M Smith; C F Beckmann
Journal:  Proc Natl Acad Sci U S A       Date:  2006-08-31       Impact factor: 11.205

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Authors:  Richard F Betzel; Lisa Byrge; Ye He; Joaquín Goñi; Xi-Nian Zuo; Olaf Sporns
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5.  Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates.

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Authors:  Jack Grinband; Jason Steffener; Qolamreza R Razlighi; Yaakov Stern
Journal:  Hum Brain Mapp       Date:  2017-04-17       Impact factor: 5.038

Review 7.  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

8.  Maturing thalamocortical functional connectivity across development.

Authors:  Damien A Fair; Deepti Bathula; Kathryn L Mills; Taciana G Costa Dias; Michael S Blythe; Dongyang Zhang; Abraham Z Snyder; Marcus E Raichle; Alexander A Stevens; Joel T Nigg; Bonnie J Nagel
Journal:  Front Syst Neurosci       Date:  2010-05-18

9.  Age trajectories of functional activation under conditions of low and high processing demands: an adult lifespan fMRI study of the aging brain.

Authors:  Kristen M Kennedy; Karen M Rodrigue; Gérard N Bischof; Andrew C Hebrank; Patricia A Reuter-Lorenz; Denise C Park
Journal:  Neuroimage       Date:  2014-10-02       Impact factor: 6.556

10.  Impact of autocorrelation on functional connectivity.

Authors:  Mohammad R Arbabshirani; Eswar Damaraju; Ronald Phlypo; Sergey Plis; Elena Allen; Sai Ma; Daniel Mathalon; Adrian Preda; Jatin G Vaidya; Tülay Adali; Vince D Calhoun
Journal:  Neuroimage       Date:  2014-07-27       Impact factor: 6.556

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  48 in total

1.  Sex differences in network controllability as a predictor of executive function in youth.

Authors:  Eli J Cornblath; Evelyn Tang; Graham L Baum; Tyler M Moore; Azeez Adebimpe; David R Roalf; Ruben C Gur; Raquel E Gur; Fabio Pasqualetti; Theodore D Satterthwaite; Danielle S Bassett
Journal:  Neuroimage       Date:  2018-12-01       Impact factor: 6.556

Review 2.  Bring the Noise: Reconceptualizing Spontaneous Neural Activity.

Authors:  Lucina Q Uddin
Journal:  Trends Cogn Sci       Date:  2020-06-27       Impact factor: 20.229

3.  Dynamic brain network configurations during rest and an attention task with frequent occurrence of mind wandering.

Authors:  Ekaterina Denkova; Jason S Nomi; Lucina Q Uddin; Amishi P Jha
Journal:  Hum Brain Mapp       Date:  2019-08-04       Impact factor: 5.038

4.  Mixed-Effect Time-Varying Network Model and Application in Brain Connectivity Analysis.

Authors:  Jingfei Zhang; Will Wei Sun; Lexin Li
Journal:  J Am Stat Assoc       Date:  2019-11-05       Impact factor: 5.033

5.  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

6.  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

7.  Childhood stress, grown-up brain networks: corticolimbic correlates of threat-related early life stress and adult stress response.

Authors:  R H Kaiser; R Clegg; F Goer; P Pechtel; M Beltzer; G Vitaliano; D P Olson; M H Teicher; D A Pizzagalli
Journal:  Psychol Med       Date:  2017-09-25       Impact factor: 7.723

8.  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

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.  Frequency-specific alternations in the moment-to-moment BOLD signals variability in schizophrenia.

Authors:  Youxue Zhang; Rui Yang; Xueli Cai
Journal:  Brain Imaging Behav       Date:  2021-02       Impact factor: 3.978

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