Inter-individual Differences in Exercise-Induced Spatial Working Memory Improvement: A Near-Infrared Spectroscopy Study

  • Yudai YamazakiEmail author
  • Daisuke Sato
  • Koya Yamashiro
  • Atsuhiro Tsubaki
  • Yui Yamaguchi
  • Nana Takehara
  • Atsuo Maruyama
Part of the Advances in Experimental Medicine and Biology book series (AEMB, volume 977)


Acute aerobic exercise at a mild intensity improves cognitive function. However, the response to exercise exhibits inter-individual differences, and the mechanisms underlying these differences remain unclear. The objective of this study was to determine potential factors in the brain that underlie differential responses to exercise in terms of cognitive improvement using functional near-infrared spectroscopy. Fourteen healthy subjects participated in these experiments. Participants performed a low intensity cycling exercise at 30% maximal oxygen uptake (VO2peak) for 10 min and performed a spatial memory task before and after exercising (5 and 30 min). The spatial memory task comprised two levels of difficulty (low: 1-dot EXERCISE, high: 3-dot EXERCISE). Cortical oxy-hemoglobin (O2Hb) levels were recorded using near-infrared spectroscopy during both the exercise and the spatial memory task phases. Regions of interests included the dorsolateral prefrontal cortex (DLPFC), ventrolateral prefrontal cortex (VLPFC), and frontopolar area (FPA). The participants were divided into two groups depending on whether they were responders (improved task reaction time) or non-responders (no improvement). Subsequently, we analyzed the group characteristics and differences in the change in O2Hb levels during exercise and spatial working memory tasks. Acute mild exercise significantly improved mean reaction times in the 1-dot memory task but not in the 3-dot task across the participants. In the 1-dot EXERCISE, 10 subjects were responders and four subjects were non-responders, whereas in the 3-dot EXERCISE, seven subjects were non-responders. In responders, during exercise, we found higher O2Hb levels in the right VLPFC response for the 1-dot memory task. Acute mild exercise caused inter-individual differences in spatial memory improvement, which were associated with changes in O2Hb activity in the prefrontal area during the exercise phase but not during the actual spatial memory task. Therefore, individuals who respond with higher reactivity to mild intensity exercise in the VLPFC might obtain larger spatial working memory improvements following exercise than non-responders.


Aerobic exercise Low intensity Spatial working memory Inter-individual difference Functional near-infrared spectroscopy 


  1. 1.
    Byun K, Hyodo K, Suwabe K, Ochi G, Sakairi Y, Kato M et al (2014) Positive effect of acute mild exercise on executive function via arousal-related prefrontal activations: an fNIRS study. NeuroImage 98:336–345CrossRefPubMedGoogle Scholar
  2. 2.
    MacDonald AW, Cohen JD, Stenger VA, Carter CS (2000) Dissociating the role of the dorsolateral prefrontal and anterior cingulate cortex in cognitive control. Science 288:1835–1838CrossRefPubMedGoogle Scholar
  3. 3.
    Bray S, Almas R, Arnold AE, Iaria G, MacQueen G (2015) Intraparietal sulcus activity and functional connectivity supporting spatial working memory manipulation. Cereb Cortex 25:1252–1264CrossRefPubMedGoogle Scholar
  4. 4.
    Spellman T, Rigotti M, Ahmari SE, Fusi S, Gogos JA, Gordon JA (2015) Hippocampal-prefrontal input supports spatial encoding in working memory. Nature 522:309–314CrossRefPubMedPubMedCentralGoogle Scholar
  5. 5.
    Sibley BA, Beilock SL (2007) Exercise and working memory: an individual differences investigation. J Sport Exerc Psychol 29:783–791CrossRefPubMedGoogle Scholar
  6. 6.
    Ide K, Horn A, Secher NH (1999) Cerebral metabolic response to submaximal exercise. J Appl Physiol (1985) 87:1604–1608Google Scholar
  7. 7.
    D’Esposito M, Aguirre GK, Zarahn E, Ballard D, Shin RK, Lease J (1998) Functional MRI studies of spatial and nonspatial working memory. Brain Res Cogn Brain Res 7:1–13CrossRefPubMedGoogle Scholar
  8. 8.
    Thompson PD, Arena R, Riebe D, Pescatello LS, American College of Sports Medicine (2013) ACSM’s new preparticipation health screening recommendations from ACSM’s guidelines for exercise testing and prescription, ninth edition. Curr Sports Med Rep 12:215–217CrossRefPubMedGoogle Scholar
  9. 9.
    Borg GA (1982) Psychophysical bases of perceived exertion. Med Sci Sports Exerc 14:377–381PubMedGoogle Scholar
  10. 10.
    Erickson KI, Prakash RS, Voss MW, Chaddock L, Hu L, Morris KS et al (2009) Aerobic fitness is associated with hippocampal volume in elderly humans. Hippocampus 19:1030–1039CrossRefPubMedPubMedCentralGoogle Scholar
  11. 11.
    Plichta MM, Herrmann MJ, Baehne CG, Ehlis AC, Richter MM, Pauli P et al (2006) Event-related functional near-infrared spectroscopy (fNIRS): are the measurements reliable? NeuroImage 31:116–124CrossRefPubMedGoogle Scholar
  12. 12.
    Nagel IE, Preuschhof C, Li SC, Nyberg L, Bäckman L, Lindenberger U et al (2009) Performance level modulates adult age differences in brain activation during spatial working memory. Proc Natl Acad Sci U S A 106:22552–22557CrossRefPubMedPubMedCentralGoogle Scholar
  13. 13.
    Kamijo K, Nishihira Y, Hatta A, Kaneda T, Wasaka T, Kida T et al (2004) Differential influences of exercise intensity on information processing in the central nervous system. Eur J Appl Physiol 92:305–311CrossRefPubMedGoogle Scholar
  14. 14.
    Owen AM, Evans AC, Petrides M (1996) Evidence for a two-stage model of spatial working memory processing within the lateral frontal cortex: a positron emission tomography study. Cereb Cortex 6:31–38CrossRefPubMedGoogle Scholar
  15. 15.
    Wu YJ, Tseng P, Chang CF, Pai MC, Hsu KS, Lin CC et al (2014) Modulating the interference effect on spatial working memory by applying transcranial direct current stimulation over the right dorsolateral prefrontal cortex. Brain Cogn 91:87–94CrossRefPubMedGoogle Scholar
  16. 16.
    Eyler LT, Sherzai A, Kaup AR, Jeste DV (2011) A review of functional brain imaging correlates of successful cognitive aging. Biol Psychiatry 70:115–122CrossRefPubMedPubMedCentralGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Yudai Yamazaki
    • 1
    Email author
  • Daisuke Sato
    • 1
  • Koya Yamashiro
    • 1
  • Atsuhiro Tsubaki
    • 1
  • Yui Yamaguchi
    • 2
  • Nana Takehara
    • 1
  • Atsuo Maruyama
    • 1
  1. 1.Institute for Human Movement and Medical SciencesNiigata University of Health and WelfareNiigataJapan
  2. 2.Analytical and Measuring Instruments DivisionShimadzu CorporationKyotoJapan

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