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12 15, 2022;43 (18): 5478-5489.

Default mode network mediates low-frequency fluctuations in brain activity and behavior during sustained attention.

Hang Zhang, Shi-You Yang, Yang Qiao, Qiu Ge, Yi-Yuan Tang, Georg Northoff, Yu-Feng Zang
Author Information
  1. Hang Zhang: Centre for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China. ORCID
  2. Shi-You Yang: Centre for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China.
  3. Yang Qiao: Centre for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China.
  4. Qiu Ge: Centre for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China.
  5. Yi-Yuan Tang: College of Health Solutions, Arizona State University, Tempe, Arizona, USA.
  6. Georg Northoff: Centre for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China.
  7. Yu-Feng Zang: Centre for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China.
PMID: 35903957 DOI: 10.1002/hbm.26024

Abstract

The low-frequency (<0.1 Hz) fluctuation in sustained attention attracts enormous interest in cognitive neuroscience and clinical research since it always leads to cognitive and behavioral lapses. What is the source of the spontaneous fluctuation in sustained attention in neural activity, and how does the neural fluctuation relate to behavioral fluctuation? Here, we address these questions by collecting and analyzing two independent fMRI and behavior datasets. We show that the neural (fMRI) fluctuation in a key brain network, the default-mode network (DMN), mediate behavioral (reaction time) fluctuation during sustained attention. DMN shows the increased amplitude of fluctuation, which correlates with the behavioral fluctuation in a similar frequency range (0.01-0.1 Hz) but not in the lower (<0.01 Hz) or higher (>0.1 Hz) frequency range. This was observed during both auditory and visual sustained attention and was replicable across independent datasets. These results provide a novel insight into the neural source of attention-fluctuation and extend the former concept that DMN was deactivated in cognitive tasks. More generally, our findings highlight the temporal dynamic of the brain-behavior relationship.

Keywords

default mode network fMRI low-frequency fluctuation sustained attention

References

  1. Nat Rev Neurosci. 2021 Mar;22(3):181-192 [PMID: 33483717]
  2. J Neurosci. 2011 Sep 21;31(38):13442-51 [PMID: 21940437]
  3. Behav Brain Res. 2006 Apr 3;168(2):312-7 [PMID: 16386807]
  4. Proc Natl Acad Sci U S A. 2001 Jan 16;98(2):676-82 [PMID: 11209064]
  5. Proc Natl Acad Sci U S A. 2016 Nov 1;113(44):12574-12579 [PMID: 27791099]
  6. Neuroimage. 2021 Feb 1;226:117579 [PMID: 33221441]
  7. Biol Psychiatry. 2008 Oct 1;64(7):607-14 [PMID: 18423424]
  8. Brain Struct Funct. 2010 Jun;214(5-6):655-67 [PMID: 20512370]
  9. Phys Life Rev. 2020 Jul;33:78-87 [PMID: 32684435]
  10. Proc Natl Acad Sci U S A. 1979 Oct;76(10):5269-73 [PMID: 291943]
  11. Biol Psychiatry. 2005 Jun 1;57(11):1416-23 [PMID: 15950016]
  12. Neuron. 2012 Nov 21;76(4):677-94 [PMID: 23177955]
  13. Neuropsychologia. 2018 Oct;119:223-232 [PMID: 30142377]
  14. Neuron. 2018 Aug 22;99(4):632-634 [PMID: 30138586]
  15. Front Neuroinform. 2018 Aug 21;12:54 [PMID: 30186131]
  16. Hum Brain Mapp. 2005 Sep;26(1):15-29 [PMID: 15852468]
  17. Neuroscience. 2015 Mar 19;289:134-43 [PMID: 25595972]
  18. Neuron. 2013 Feb 20;77(4):750-61 [PMID: 23439126]
  19. Cereb Cortex. 2020 Mar 14;30(3):1716-1734 [PMID: 31504262]
  20. Sci Bull (Beijing). 2019 Jul 30;64(14):953-954 [PMID: 36659803]
  21. Cogn Neurosci. 2020 Jan - Jan;11(1-2):37-46 [PMID: 31674886]
  22. Neuroinformatics. 2016 Jul;14(3):339-51 [PMID: 27075850]
  23. Trends Neurosci. 2008 Aug;31(8):401-9 [PMID: 18602171]
  24. Neuropsychology. 2011 Nov;25(6):711-719 [PMID: 21728424]
  25. World J Biol Psychiatry. 2020 Nov;21(9):662-672 [PMID: 32468880]
  26. PLoS One. 2020 Jan 8;15(1):e0227021 [PMID: 31914167]
  27. Nat Neurosci. 2016 Jan;19(1):165-71 [PMID: 26595653]
  28. Trends Cogn Sci. 2012 Dec;16(12):584-92 [PMID: 23142417]
  29. Cereb Cortex. 2013 Nov;23(11):2712-23 [PMID: 22941724]
  30. Neurosci Biobehav Rev. 2017 Sep;80:630-645 [PMID: 28760626]
  31. Cogn Neurosci. 2016 Jan-Oct;7(1-4):203-22 [PMID: 26505808]
  32. Ann N Y Acad Sci. 2017 May;1396(1):70-91 [PMID: 28260249]
  33. Neuroimage. 2012 Nov 15;63(3):1712-9 [PMID: 22796990]
  34. Ann N Y Acad Sci. 2008;1129:193-9 [PMID: 18591480]
  35. Clin Neurophysiol. 2008 Mar;119(3):542-555 [PMID: 18164661]
  36. Neuron. 2008 May 8;58(3):306-24 [PMID: 18466742]
  37. Neuroimage. 2020 Nov 1;221:117141 [PMID: 32663642]
  38. Curr Biol. 2019 Sep 23;29(18):R890-R905 [PMID: 31550478]
  39. Neuroimage. 1995 Jun;2(2):157-65 [PMID: 9343598]
  40. J Neurosci. 2018 Aug 29;38(35):7551-7558 [PMID: 30037835]
  41. Dev Psychol. 2014 Jan;50(1):143-51 [PMID: 23586940]
  42. Atten Percept Psychophys. 2013 Apr;75(3):426-39 [PMID: 23299180]
  43. Neuroimage. 2006 May 15;31(1):440-57 [PMID: 16466680]
  44. Neuron. 2018 Aug 22;99(4):854-865.e5 [PMID: 30138591]
  45. Neuroimage. 2008 Jan 1;39(1):527-37 [PMID: 17919929]
  46. Sci Adv. 2020 Mar 11;6(11):eaaz0087 [PMID: 32195349]
  47. J Atten Disord. 2014 Jul;18(5):434-46 [PMID: 22508759]
  48. Proc Natl Acad Sci U S A. 2006 Jun 27;103(26):10046-51 [PMID: 16788060]
  49. J Neurosci Methods. 2010 Feb 15;186(2):179-85 [PMID: 19941896]
  50. Psychol Bull. 1997 Jan;121(1):65-94 [PMID: 9000892]
  51. Psychol Bull. 2013 Jul;139(4):870-900 [PMID: 23163491]
  52. Cereb Cortex. 2020 Oct 1;30(11):5915-5929 [PMID: 32572493]
  53. Nat Commun. 2020 Feb 26;11(1):1051 [PMID: 32103014]
  54. Nat Rev Neurosci. 2007 Sep;8(9):700-11 [PMID: 17704812]
  55. Nat Rev Neurosci. 2016 Nov;17(11):718-731 [PMID: 27654862]
  56. Commun Biol. 2021 Mar 4;4(1):277 [PMID: 33664456]
  57. Neurosci Biobehav Rev. 2007;31(7):977-86 [PMID: 17445893]
  58. Phys Life Rev. 2020 Jul;33:34-54 [PMID: 31221604]
  59. Brain Res. 2010 Mar 31;1322:134-43 [PMID: 20117101]
  60. Atten Percept Psychophys. 2019 Nov;81(8):2710-2721 [PMID: 31250363]
  61. Hum Brain Mapp. 2022 Dec 15;43(18):5478-5489 [PMID: 35903957]
  62. Cereb Cortex. 2017 Mar 1;27(3):1831-1840 [PMID: 26874182]
  63. Cereb Cortex. 2014 Mar;24(3):663-76 [PMID: 23146964]
  64. Neuroimage. 2017 Mar 1;148:381-389 [PMID: 28110087]
  65. Proc Natl Acad Sci U S A. 2016 Nov 29;113(48):13899-13904 [PMID: 27856733]
  66. J Neurophysiol. 2011 Sep;106(3):1125-65 [PMID: 21653723]
  67. Nat Rev Neurosci. 2019 Oct;20(10):593-608 [PMID: 31492945]
  68. Brain. 2011 Jun;134(Pt 6):1740-50 [PMID: 21616970]
  69. Trends Cogn Sci. 2009 Jul;13(7):302-9 [PMID: 19535283]

Grants

  1. /CIHR

MeSH Term

Humans
Brain Mapping
Default Mode Network
Attention
Brain
Magnetic Resonance Imaging
Journal Article Research Support, Non-U.S. Gov't Research Support, N.I.H., Extramural
Article has an altmetric score of 2

Word Cloud

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