Observing brain function via functional near-infrared spectroscopy during cognitive program training (dual task) in young people

Ratri Techayusukcharoen, Shuhei Iida, Chikara Aoki, Ratri Techayusukcharoen, Shuhei Iida, Chikara Aoki

Abstract

[Purpose] To study the brain function during a dual task (cycling exercise and cognitive training) via functional near-infrared spectroscopy in young males. [Participants and Methods] Twenty Japanese young male participants were divided into intervention and control groups by simple randomization (n=10 per group). In the intervention group, participants were given a cognitive program training and cycling exercise (dual task). The control group was given the cognitive program training (single task) only. The cognitive program training consisted of a warm up, followed by 2 minutes of rock-paper-scissors, 2 minutes of numeric memory, 2 minutes of color matching, 2 minutes of calculations, and a cool down. Brain function tests were performed individually throughout the programs by functional near-infrared spectroscopy. [Results] The oxyhemoglobin levels significantly increased in the frontal lobe of the intervention and control groups after program completion compared to before. And the oxyhemoglobin levels of the intervention group also significantly increased more than control group in the prefrontal cortex and motor area. [Conclusion] This program used by Cognibike was also effective for improving hemoglobin oxygen levels at the frontal lobe in young males.

Keywords: Brain function; Cognibike; Functional Near-Infrared Spectroscopy (fNIR or fNIRS).

Conflict of interest statement

None.

Figures

Fig. 1.
Fig. 1.
Measurement area at the frontal lobe. Chanel 1–10: Prefrontal cortex, Chanel 11–20: Premotor cortex divided into 3 subdivisions, including Chanel 11, 14, 18: Left premotor cortex, Chanel 12, 15, 16, 19: Supplementary motor area, and Chanel 13, 17, 20: Right premotor cortex.
Fig. 2.
Fig. 2.
Cognibike. Retrieved from: Start of functional training to prevent dementia at TSUKUI Day Service43).
Fig. 3.
Fig. 3.
(A) Experimental design, consisting of the single task (ST) and dual task (DT) conditions. Frontal lobe hemodynamic changes were continuing monitored with functional near-infrared spectroscopy (fNIRS) throughout the experiment. (B) Illustration of cognitive training including of 4 tasks; 1) Rock-paper-scissors is a memory, thinking and resolving task, 2) Numeric memory is a short-term memory task, 3) Color matching is an analytical thinking, long term memory and thinking task, and 4) Calculation is thinking task.

References

    1. Rezab S: Exercise and cognition in young adults. Psychological Sciences Undergraduate Publications, 2015.
    1. Dishman RK, Berthoud HR, Booth FW, et al. : Neurobiology of exercise. Obesity (Silver Spring), 2006, 14: 345–356.
    1. Warburton DE, Nicol CW, Bredin SS: Health benefits of physical activity: the evidence. CMAJ, 2006, 174: 801–809.
    1. Byun K, Hyodo K, Suwabe K, et al. : Positive effect of acute mild exercise on executive function via arousal-related prefrontal activations: an fNIRS study. Neuroimage, 2014, 98: 336–345.
    1. Timinkul A, Kato M, Omori T, et al. : Enhancing effect of cerebral blood volume by mild exercise in healthy young men: a near-infrared spectroscopy study. Neurosci Res, 2008, 61: 242–248.
    1. Moraes H, Deslandes A, Silveira H, et al. : Effects of motor and cognitive dual-task performance in depressive elderly, healthy older adults, and healthy young individuals. Dement Neuropsychol, 2011, 5: 198–202.
    1. Maki A, Yamashita Y, Ito Y, et al. : Spatial and temporal analysis of human motor activity using noninvasive NIR topography. Med Phys, 1995, 22: 1997–2005.
    1. Cope M, Delpy DT, Reynolds EO, et al. : Methods of quantitating cerebral near infrared spectroscopy data. Adv Exp Med Biol, 1988, 222: 183–189.
    1. Shimadzu Corporation: Functional Near-Infrared Spectroscopy System for Research (LABNIRS). . (Accessed 2013)
    1. Carrión JL, Domínguez UL: Functional Near-Infrared Spectroscopy (fNIRS): principles and neuroscientific applications. Neuroimaging −Methods, 2012, 47–66.
    1. Ishii S, Kaga Y, Tando T, et al. : Disinhibition in children with attention-deficit/hyperactivity disorder: changes in [oxy-Hb] on near-infrared spectroscopy during “rock, paper, scissors” task. Brain Dev, 2017, 39: 395–402.
    1. Kikuchi S, Iwata K, Onishi Y, et al. : Prefrontal cerebral activity during a simple “rock, paper, scissors” task measured by the noninvasive near-infrared spectroscopy method. Psychiatry Res, 2007, 156: 199–208.
    1. Peters L, De Smedt B: Arithmetic in the developing brain: a review of brain imaging studies. Dev Cogn Neurosci, 2018, 30: 265–279.
    1. Diamond A: Close interrelation of motor development and cognitive development and of the cerebellum and prefrontal cortex. Child Dev, 2000, 71: 44–56.
    1. Owen AM, Herrod NJ, Menon DK, et al. : Redefining the functional organization of working memory processes within human lateral prefrontal cortex. Eur J Neurosci, 1999, 11: 567–574.
    1. Ungerleider LG, Courtney SM, Haxby JV: A neural system for human visual working memory. Proc Natl Acad Sci USA, 1998, 95: 883–890.
    1. Dumontheil I, Gilbert SJ, Frith CD, et al. : Recruitment of lateral rostral prefrontal cortex in spontaneous and task-related thoughts. Q J Exp Psychol Hove, 2010, 63: 1740–1756.
    1. Okuda J, Fujii T, Ohtake H, et al. : Differential involvement of regions of rostral prefrontal cortex (Brodmann area 10) in time- and event-based prospective memory. Int J Psychophysiol, 2007, 64: 233–246.
    1. Mirelman A, Maidan I, Bernad-Elazari H, et al. : Increased frontal brain activation during walking while dual tasking: an fNIRS study in healthy young adults. J Neuroeng Rehabil, 2014, 11: 85.
    1. Doi T, Makizako H, Shimada H, et al. : Brain activation during dual-task walking and executive function among older adults with mild cognitive impairment: a fNIRS study. Aging Clin Exp Res, 2013, 25: 539–544.
    1. Ruthruff E, Pashler HE, Klaassen A: Processing bottlenecks in dual-task performance: structural limitation or strategic postponement? Psychon Bull Rev, 2001, 8: 73–80.
    1. Tombu M, Jolicoeur P: A central capacity sharing model of dual-task performance. J Exp Psychol Hum Percept Perform, 2003, 29: 3–18.
    1. Suzuki H, Kuraoka M, Yasunaka M, et al. : Cognitive intervention through a training program for picture book reading in community-dwelling older adults: a randomized controlled trial. BMC Geriatrics, 2014, 14: 122.
    1. Popa-Wagner A, Buga AM, Popescu B, et al. : Vascular cognitive impairment, dementia, aging and energy demand. A vicious cycle. J Neural Transm (Vienna), 2015, 122: S47–S54.
    1. Ide K, Secher NH: Cerebral blood flow and metabolism during exercise. Prog Neurobiol, 2000, 61: 397–414.
    1. Archer T: Physical exercise alleviates debilities of normal aging and Alzheimer’s disease. Acta Neurol Scand, 2011, 123: 221–238.
    1. Yu F, Kolanowski AM, Strumpf NE, et al. : Improving cognition and function through exercise intervention in Alzheimer’s disease. J Nurs Scholarsh, 2006, 38: 358–365.
    1. Pereira AC, Huddleston DE, Brickman AM, et al. : An in vivo correlate of exercise-induced neurogenesis in the adult dentate gyrus. Proc Natl Acad Sci USA, 2007, 104: 5638–5643.
    1. Lange-Asschenfeldt C, Kojda G: Alzheimer’s disease, cerebrovascular dysfunction and the benefits of exercise: from vessels to neurons. Exp Gerontol, 2008, 43: 499–504.
    1. Radak Z, Hart N, Sarga L, et al. : Exercise plays a preventive role against Alzheimer’s disease. J Alzheimers Dis, 2010, 20: 777–783.
    1. Pérez CA, Cancela Carral JM: Benefits of physical exercise for older adults with Alzheimer’s disease. Geriatr Nurs, 2008, 29: 384–391.
    1. Hwang J, Brothers RM, Castelli DM, et al. : Acute high-intensity exercise-induced cognitive enhancement and brain-derived neurotrophic factor in young, healthy adults. Neurosci Lett, 2016, 630: 247–253.
    1. Calabrese F, Rossetti AC, Racagni G, et al. : Brain-derived neurotrophic factor: a bridge between inflammation and neuroplasticity. Front Cell Neurosci, 2014, 8: 430.
    1. Etnier JL, Wideman L, Labban JD, et al. : The effects of acute exercise on memory and brain-derived neurotrophic factor (BDNF). J Sport Exerc Psychol, 2016, 38: 331–340.
    1. Vaynman S, Ying Z, Gomez-Pinilla F: Hippocampal BDNF mediates the efficacy of exercise on synaptic plasticity and cognition. Eur J Neurosci, 2004, 20: 2580–2590.
    1. Erickson KI, Voss MW, Prakash RS, et al. : Exercise training increases size of hippocampus and improves memory. Proc Natl Acad Sci USA, 2011, 108: 3017–3022.
    1. Coelho FG, Vital TM, Stein AM, et al. : Acute aerobic exercise increases brain-derived neurotrophic factor levels in elderly with Alzheimer’s disease. J Alzheimers Dis, 2014, 39: 401–408.
    1. Gold SM, Schulz KH, Hartmann S, et al. : Basal serum levels and reactivity of nerve growth factor and brain-derived neurotrophic factor to standardized acute exercise in multiple sclerosis and controls. J Neuroimmunol, 2003, 138: 99–105.
    1. Ferris LT, Williams JS, Shen CL: The effect of acute exercise on serum brain-derived neurotrophic factor levels and cognitive function. Med Sci Sports Exerc, 2007, 39: 728–734.
    1. Tang SW, Chu E, Hui T, et al. : Influence of exercise on serum brain-derived neurotrophic factor concentrations in healthy human subjects. Neurosci Lett, 2008, 431: 62–65.
    1. Rojas Vega S, Strüder HK, Vera Wahrmann B, et al. : Acute BDNF and cortisol response to low intensity exercise and following ramp incremental exercise to exhaustion in humans. Brain Res, 2006, 1121: 59–65.
    1. Zoladz JA, Pilc A, Majerczak J, et al. : Endurance training increases plasma brain-derived neurotrophic factor concentration in young healthy men. J Physiol Pharmacol, 2008, 59: 119–132.
    1. Tsukui Corporation: Start of Functional training to prevent dementia at TSUKUI Day Service: new introduction of “cognibike” ergometer based on the concept of “cognicise”. 2015.

Source: PubMed

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