A Motor Programming Task Activates the Prefrontal Cortex More than a Sensitivity-to-Interference Task or an Inhibitory Control Task in Older Adults — Oak Academic Publishing
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A Motor Programming Task Activates the Prefrontal Cortex More than a Sensitivity-to-Interference Task or an Inhibitory Control Task in Older Adults
Graduate School of Landscape Design and Management, University of Hyogo, Awaji, Japan
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Graduate School of Landscape Design and Management, University of Hyogo, Awaji, Japan
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Center for Health Systems & Design, Texas A&M University, College Station, TX, USA
1 Graduate School of Landscape Design and Management, University of Hyogo, Awaji, Japan
2 Graduate School of Landscape Design and Management, University of Hyogo, Awaji, Japan
3 Center for Health Systems & Design, Texas A&M University, College Station, TX, USA
The objectives of this study were to detect age-related differences in activation of the prefrontal cortex (PFC) during the tasks of hand motions and to determine an activity-related task type activating the PFC. PFC activation during three tasks, three subtests of the Frontal Assessment Battery (FAB), was investigated in 77 healthy adults by using near-infrared spectroscopy (NIRS). The tasks were a motor programming task (FAB 3), a sensitivity-to-interference task (FAB 4) and an inhibitory control task (FAB 5). We divided participants into three age groups of Younger (20 - 39 years), Middle-aged (40 - 59 years), and Older (60 - 81 years), and compared relative changes in oxygenated hemoglobin concentration in the PFC during the tasks. The activation in the frontal pole (FP) and the dorsolateral prefrontal cortex (DLPFC) during a motor programming task and a sensitivity-to-interference task showed no main effects by age. The results indicated that they were not likely to be affected by age-related cognitive decline compared to an inhibitory control task. In addition, in the Older group, a motor programming task induced significantly greater activation than a sensitivi-ty-to-interference task at eleven channels out of twelve on which we focused (<i>p</i> < 0.05). It was suggested that some characteristic factors included in the motor programming task such as repetition of a series of hand motions and attention to action have the potential to contribute to PFC activation in older adults. These findings provide a clue to understanding daily activities available to suppress cognitive decline of older adults by activating the PFC.
Alzheimer’s Disease International (2015) World Alzheimer Report 2015: The Global Impact of Dementia. An Analysis of Prevalence, Incidence, Costand Trends. https://www.alz.co.uk/research/WorldAlzheimerReport2015.pdf
Asada, T. (2013) 都市部における認知症有病率と認知症の生活機能障害への対応 [Dementia Prevalence in Urban Areas and Countermeasures against Functioning Disabilities of Dementia] (MHLW No. 201218011B). http://www.tsukuba-psychiatry.com/wp-content/uploads/2013/06/H24Report_Part1.pdf
Gagnon, L.G. and Belleville, S. (2011) Working Memory in Mild Cognitive Impairment and Alzheimer’s Disease: Contribution of Forgetting and Predictive Value of Complex Span Tasks. Neuropsychology, 25, 226-236. http://dx.doi.org/10.1037/a0020919
Kwee, I.L. and Nakada, T. (2003) Dorsolateral Prefrontal Lobe Activation Declines Significantly with Age—Functional NIRS Study. Journal of Neurology, 250, 525-529. http://dx.doi.org/10.1007/s00415-003-1028-x
Salthouse, T.A. (1996) The Processing-Speed Theory of Adult Age Differences in Cognition. Psychological Review, 103, 403-428. http://dx.doi.org/10.1037/0033-295X.103.3.403
Cherry, K.E., Park, D.C., Frieske, D.A. and Smith, A.D. (1996) Verbal and Picotorial Elaborations Enhance Memory in Young and Older Adults. Aging, Neuropsychology, and Cognition, 3, 15-29. http://dx.doi.org/10.1080/13825589608256609
Hasher, L., Stoltzfus, E.R., Zacks, R.T. and Rypma, B. (1991) Age and Inhibition. Journal of Experimental Psychology: Learning, Memory, and Cognition, 17, 163-169. http://dx.doi.org/10.1037/0278-7393.17.1.163
Olesen, P.J., Westerberg, H. and Klingberg, T. (2004) Increased Prefrontal and Parietal Activity after Training of Working Memory. Nature Neuroscience, 7, 75-79. http://dx.doi.org/10.1038/nn1165
Belleville, S., Clément, F., Mellah, S., Gilbert, B., Fontaine, F. and Gauthier, S. (2011) Training-Related Brain Plasticity in Participants at Risk of Developing Alzheimer’s Disease. Brain, 134, 1623-1634. http://dx.doi.org/10.1093/brain/awr037
vanHalteren-van Tilborg, I.A., Scherder, E.J. and Hulstijn, W. (2007) Motor-Skill Learning in Alzheimer’s Disease: A Review with an Eye to the Clinical Practice. Neuropsychology Review, 17, 203-212. http://dx.doi.org/10.1007/s11065-007-9030-1
Williams, J.W., Plassman, B.L., Burke, J., Holsinger, T. and Benjamin, S. (2010) Preventing Alzheimer’s Disease and Cognitive Decline (Evidence Report/Technology Assessment No. 193, AHRQ Publication No. 10-E005). Agency for Healthcare Research and Quality, Rockville. http://www.ahrq.gov/sites/default/files/wysiwyg/research/findings/evidence-based-reports/alzcog-evidence-report.pdf
Nakahachi, T., Ishii, R., Iwase, M., Canuet L., Takahashi, H., Kurimoto, R., et al. (2008) Frontal Activity during the Digit Symbol Substitution Test Determined by Multichannel Near-Infrared Spectroscopy. Neuropsychobiology, 57, 151-158. http://dx.doi.org/10.1159/000147467
Shibuya-Tayoshi, S., Sumitani, S., Kikuchi, K., Tanaka, T., Tayoshi, S., Ueno., S. and Ohmori, T. (2007) Activation of the Prefrontal Cortex during the Trail-Making Test Detected with Multichannel Near-Infrared Spectroscopy. Psychiatry and Clinical Neurosciences, 61, 616-621. http://dx.doi.org/10.1111/j.1440-1819.2007.01727.x
Sumitani, S., Tanaka, T., Tayoshi, S., Ota, K., Kameoka, N., Ueno, S. and Ohmori, T. (2006) Activation of the Prefrontal Cortex during the Wisconsin Card Sorting Test as Measured by Multichannel Near-Infrared Spectroscopy. Neuropsychobiology, 53, 70-76. http://dx.doi.org/10.1159/000091722
Dubois, B., Slachevsky, A., Litvan, I. and Pillon, B. (2000) The FAB: A Frontal Assessment Battery at Bedside. Neurology, 55, 1621-1626. http://dx.doi.org/10.1212/WNL.55.11.1621
Folstein, M.F., Folstein, S.E. and McHugh, P.R. (1975) “Mini-Mental State”. A Practical Method for Grading the Cognitive State of Patients for the Clinician. Journal of Psychiatric Research, 12, 189-198. http://dx.doi.org/10.1016/0022-3956(75)90026-6
Mungas, D. (1991) In-Office Mental Status Testing: A Practical Guide. Geriatrics, 46, 54-67. https://www.ncbi.nlm.nih.gov/pubmed/2060803
Treitz, F.H., Heyder, K. and Daum, I. (2007) Differential Course of Executive Control Change during Normal Aging. Aging Neuropsychology, and Cognition, 14, 370-393. http://dx.doi.org/10.1080/13825580600678442
Shoyama, M., Nishioka, T., Okumura, M., Kose, A., Tsuji, T., Ukai, S. and Shinosaki, K. (2011) Brain Activity during the Clock-Drawing Test: Multichannel Near-Infrared Spectroscopy Study. Applied Neuro-psychology, 18, 243-251. http://dx.doi.org/10.1080/09084282.2011.595450
Hoshi, Y., Kobayashi, N. and Tamura, M. (2001) Interpretation of Near-Infrared Spectroscopy Signals: A Study with A Newly Developed Perfused Rat Brain Model. Journal of Applied Physiology, 90, 1657-1662. http://jap.physiology.org/content/90/5/1657.short
Pivik, R.T., Broughton, R.J., Coppola, R., Davidson, R.J., Fox, N. and Nuwer, M.R. (1993) Guidelines for Recording and Quantitative Analysis of Electroencephalographic Activity in Research Contexts. Psychophysiology, 30, 547-558. http://onlinelibrary.wiley.com/doi/10.1111/j.1469-8986.1993.tb02081.x/full http://dx.doi.org/10.1111/j.1469-8986.1993.tb02081.x
Center for Development of Advanced Medical Technology (N.D.) Results for Virtual Regis-Tration: Holder Type 3 x 5 by Hitachi Medical Corporation. Functional Brain Science lab: Virtual Registration. Jichi Medical University, Tochigi. http://www.jichi.ac.jp/brainlab/virtual_registration/Result3x5_E.html
Singh, A.K., Okamoto, M., Dan, H., Jurcak, V. and Dan, I. (2005) Spatial Registration of Multichannel Multi-Subject fNIRS Data to MNI Space without MRI. NeuroImage, 27, 842-851. http://dx.doi.org/10.1016/j.neuroimage.2005.05.019
Tsuzuki, D., Jurcak, V., Singh, A.K., Okamoto, M., Watanabe, E. and Dan, I. (2007) Virtual Spatial Registration of Stand-Alone fNIRS Data to MNI Space. NeuroImage, 34, 1506-1518. http://dx.doi.org/10.1016/j.neuroimage.2006.10.043
Lancaster, J.L., Woldorff, M.G., Parsons, L.M., Liotti, M., Freitas, C.S., Rainey, L., et al. (2000) Automated Talairach Atlas Labels for Functional Brain Mapping. Human Brain Mapping, 10, 120-131. http://www.talairach.org/Lancaster_HBM_00.pdf http://dx.doi.org/10.1002/1097-0193(200007)10:3 3.0.CO;2-8
Rypma, B., Prabhakaran, V., Desmond, J.E., Glover, G.H. and Gabrieli, J.D.E. (1999) Load-Dependent Roles of Frontal Brain Regions in the Maintenance of Working Memory. NeuroImage, 9, 216-226. http://dx.doi.org/10.1006/nimg.1998.0404
Jueptner, M., Stephan, K.M., Frith, C.D., Brooks, D.J., Frackowiak, R.S. and Passingham, R.E. (1997) Anatomy of Motor Learning. I. Frontal Cortex and Attention to Action. Journal of Neurophysiology, 77, 1313-1324. http://www.yorku.ca/jdc/motor%20learning%20and%20attention.pdf
Rowe, J., Friston, K., Frackowiak, R. and Passingham, R. (2002) Attention to Action: Specific Modulation of Corticocortical Interactions in Humans. NeuroImage, 17, 988-998. http://dx.doi.org/10.1006/nimg.2002.1156
Jenkins, I.H., Brooks, D.J., Nixon, P.D., Frackowiak, R.S. and Passingham, R.E. (1994) Motor Sequence Learning: A Study with Positron Emission Tomography. The Journal of Neuroscience, 14, 3775-3790. http://www.jneurosci.org/content/14/6/3775.short