Literature DB >> 21430150

The importance of being variable.

Douglas D Garrett1, Natasa Kovacevic, Anthony R McIntosh, Cheryl L Grady.   

Abstract

New work suggests that blood oxygen level-dependent (BOLD) signal variability can be a much more powerful index of human age than mean activation, and that older brains are actually less variable than younger brains. However, little is known of how BOLD variability and task performance may relate. In the current study, we examined BOLD variability in relation to age, and reaction time speed and consistency in healthy younger (20-30 years) and older (56-85 years) adults on three cognitive tasks (perceptual matching, attentional cueing, and delayed match-to-sample). Results indicated that younger, faster, and more consistent performers exhibited significantly higher brain variability across tasks, and showed greater variability-based regional differentiation compared with older, poorer-performing adults. Also, when we compared brain variability- and typical mean-based effects, the respective spatial patterns were essentially orthogonal across brain measures, and any regions that did overlap were largely opposite in directionality of effect. These findings help establish the functional basis of BOLD variability, and further support the statistical and spatial differentiation between BOLD variability and BOLD mean. We thus argue that the precise nature of relations between aging, cognition, and brain function is underappreciated by using mean-based brain measures exclusively.

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Year:  2011        PMID: 21430150      PMCID: PMC3104038          DOI: 10.1523/JNEUROSCI.5641-10.2011

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


  42 in total

1.  Intraindividual variability in cognitive performance in older adults: comparison of adults with mild dementia, adults with arthritis, and healthy adults.

Authors:  D F Hultsch; S W MacDonald; M A Hunter; J Levy-Bencheton; E Strauss
Journal:  Neuropsychology       Date:  2000-10       Impact factor: 3.295

2.  Aging cognition: from neuromodulation to representation.

Authors:  Shu Chen Li; Ulman Lindenberger; Sverker Sikström
Journal:  Trends Cogn Sci       Date:  2001-11-01       Impact factor: 20.229

3.  "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician.

Authors:  M F Folstein; S E Folstein; P R McHugh
Journal:  J Psychiatr Res       Date:  1975-11       Impact factor: 4.791

4.  Probabilistic independent component analysis for functional magnetic resonance imaging.

Authors:  Christian F Beckmann; Stephen M Smith
Journal:  IEEE Trans Med Imaging       Date:  2004-02       Impact factor: 10.048

5.  Inconsistency in reaction time across the life span.

Authors:  Benjamin R Williams; David F Hultsch; Esther H Strauss; Michael A Hunter; Rosemary Tannock
Journal:  Neuropsychology       Date:  2005-01       Impact factor: 3.295

Review 6.  Neuronal variability: noise or part of the signal?

Authors:  Richard B Stein; E Roderich Gossen; Kelvin E Jones
Journal:  Nat Rev Neurosci       Date:  2005-05       Impact factor: 34.870

7.  A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data.

Authors:  Simon B Eickhoff; Klaas E Stephan; Hartmut Mohlberg; Christian Grefkes; Gereon R Fink; Katrin Amunts; Karl Zilles
Journal:  Neuroimage       Date:  2005-05-01       Impact factor: 6.556

8.  Coherent spontaneous activity accounts for trial-to-trial variability in human evoked brain responses.

Authors:  Michael D Fox; Abraham Z Snyder; Jeffrey M Zacks; Marcus E Raichle
Journal:  Nat Neurosci       Date:  2005-12-11       Impact factor: 24.884

9.  Neuroanatomical differences between mouse strains as shown by high-resolution 3D MRI.

Authors:  X Josette Chen; Natasa Kovacevic; Nancy J Lobaugh; John G Sled; R Mark Henkelman; Jeffrey T Henderson
Journal:  Neuroimage       Date:  2005-08-09       Impact factor: 6.556

10.  A three-dimensional MRI atlas of the mouse brain with estimates of the average and variability.

Authors:  N Kovacević; J T Henderson; E Chan; N Lifshitz; J Bishop; A C Evans; R M Henkelman; X J Chen
Journal:  Cereb Cortex       Date:  2004-09-01       Impact factor: 5.357

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  160 in total

1.  Default network modulation and large-scale network interactivity in healthy young and old adults.

Authors:  R Nathan Spreng; Daniel L Schacter
Journal:  Cereb Cortex       Date:  2011-11-29       Impact factor: 5.357

2.  Causal interactions in attention networks predict behavioral performance.

Authors:  Xiaotong Wen; Li Yao; Yijun Liu; Mingzhou Ding
Journal:  J Neurosci       Date:  2012-01-25       Impact factor: 6.167

3.  Age differences in default and reward networks during processing of personally relevant information.

Authors:  Cheryl L Grady; Omer Grigg; Charisa Ng
Journal:  Neuropsychologia       Date:  2012-03-30       Impact factor: 3.139

4.  The modulation of BOLD variability between cognitive states varies by age and processing speed.

Authors:  Douglas D Garrett; Natasa Kovacevic; Anthony R McIntosh; Cheryl L Grady
Journal:  Cereb Cortex       Date:  2012-03-14       Impact factor: 5.357

Review 5.  The cognitive neuroscience of ageing.

Authors:  Cheryl Grady
Journal:  Nat Rev Neurosci       Date:  2012-06-20       Impact factor: 34.870

6.  Scale-free properties of the functional magnetic resonance imaging signal during rest and task.

Authors:  Biyu J He
Journal:  J Neurosci       Date:  2011-09-28       Impact factor: 6.167

7.  To transfer or not to transfer? Kinematics and laterality quotient predict interlimb transfer of motor learning.

Authors:  Hannah Z Lefumat; Jean-Louis Vercher; R Chris Miall; Jonathan Cole; Frank Buloup; Lionel Bringoux; Christophe Bourdin; Fabrice R Sarlegna
Journal:  J Neurophysiol       Date:  2015-09-02       Impact factor: 2.714

8.  Low frequency steady-state brain responses modulate large scale functional networks in a frequency-specific means.

Authors:  Yi-Feng Wang; Zhiliang Long; Qian Cui; Feng Liu; Xiu-Juan Jing; Heng Chen; Xiao-Nan Guo; Jin H Yan; Hua-Fu Chen
Journal:  Hum Brain Mapp       Date:  2015-10-29       Impact factor: 5.038

9.  Brain Changes Following Executive Control Training in Older Adults.

Authors:  Areeba Adnan; Anthony J W Chen; Tatjana Novakovic-Agopian; Mark D'Esposito; Gary R Turner
Journal:  Neurorehabil Neural Repair       Date:  2017-09-04       Impact factor: 3.919

10.  Individual Cortical Entropy Profile: Test-Retest Reliability, Predictive Power for Cognitive Ability, and Neuroanatomical Foundation.

Authors:  Mianxin Liu; Xinyang Liu; Andrea Hildebrandt; Changsong Zhou
Journal:  Cereb Cortex Commun       Date:  2020-05-07
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