Effects of age on the interactions of attentional and emotional processes: a prefrontal fNIRS study

References

• Beck, D. M., & Kastner, S. (2009). Top-down and bottom-up mechanisms in biasing competition in the human brain. Vision Research, 49(10), 1154–1165. https://doi.org/10.1016/j.visres.2008.07.012
   PubMed Web of Science ®Google Scholar
• Blanchard-Fields, F. (2007). Everyday problem solving and emotion. Current Directions in Psychological Science, 16(1), 26–31. https://doi.org/10.1111/j.1467-8721.2007.00469.x
   Web of Science ®Google Scholar
• Cabeza, R., & Dennis, N. A. (2012). Frontal lobes and aging: Deterioration and compensation. Principles of Frontal Lobe Function, 2, 628–652.
   Google Scholar
• Carbonell, F., Bellec, P., & Shmuel, A. (2011). Global and system-specific resting-state fMRI fluctuations are uncorrelated: Principal component analysis reveals anti-correlated networks. Brain Connectivity, 1(6), 496–510. https://doi.org/10.1089/brain.2011.0065
   PubMedGoogle Scholar
• Carstensen, L. L., Fung, H. H., & Charles, S. T. (2003). Socioemotional selectivity theory and the regulation of emotion in the second half of life. Motivation and Emotion, 27(2), 103–123. https://doi.org/10.1023/A:1024569803230
   Web of Science ®Google Scholar
• de Frias, C. M., Lövdén, M., Lindenberger, U., & Nilsson, L. G. (2007). Revisiting the dedifferentiation hypothesis with longitudinal multi-cohort data. Intelligence, 35(4), 381–392. https://doi.org/10.1016/j.intell.2006.07.011
   Web of Science ®Google Scholar
• de Souza Almeida, R., Faria-Jr, R., & Klein, A., & M, R. (2021). On the origins and evolution of the attention network tests. Neuroscience & Biobehavioral Reviews, 126, 560–572. https://doi.org/10.1016/j.neubiorev.2021.02.028
   PubMed Web of Science ®Google Scholar
• Döhnel, K., Sommer, M., Ibach, B., Rothmayr, C., Meinhardt, J., & Hajak, G. (2008). Neural correlates of emotional working memory in patients with mild cognitive impairment. Neuropsychologia, 46(1), 37–48. https://doi.org/10.1016/j.neuropsychologia.2007.08.012
   PubMed Web of Science ®Google Scholar
• Dolcos, F., Iordan, A. D., & Dolcos, S. (2011). Neural correlates of emotion–cognition interactions: A review of evidence from brain imaging investigations. Journal of Cognitive Psychology, 23(6), 669–694. https://doi.org/10.1080/20445911.2011.594433
   PubMed Web of Science ®Google Scholar
• Dolcos, F., Katsumi, Y., Moore, M., Berggren, N., de Gelder, B., Derakshan, N., Hamm, A. O., Koster, E. H. W., Ladouceur, C. D., Okon-Singer, H., Pegna, A. J., Richter, T., Schweizer, S., Van den Stock, J., Ventura-Bort, C., Weymar, M., & Dolcos, S. (2020). Neural correlates of emotion-attention interactions: From perception, learning, and memory to social cognition, individual differences, and training interventions. Neuroscience & Biobehavioral Reviews, 108, 559–601. https://doi.org/10.1016/j.neubiorev.2019.08.017
   PubMed Web of Science ®Google Scholar
• Fan, J., Gu, X., Guise, K. G., Liu, X., Fossella, J., Wang, H., & Posner, M. I. (2009). Testing the behavioral interaction and integration of attentional networks. Brain and Cognition, 70(2), 209–220. https://doi.org/10.1016/j.bandc.2009.02.002
   PubMed Web of Science ®Google Scholar
• Fan, J., McCandliss, B. D., Fossella, J., Flombaum, J. I., & Posner, M. I. (2005). The activation of attentional networks. NeuroImage, 26(2), 471–479. https://doi.org/10.1016/j.neuroimage.2005.02.004
   PubMed Web of Science ®Google Scholar
• Fan, J., McCandliss, B. D., Sommer, T., Raz, A., & Posner, M. I. (2002). Testing the efficiency and independence of attentional networks. Journal of Cognitive Neuroscience, 14(3), 340–347. https://doi.org/10.1162/089892902317361886
   PubMed Web of Science ®Google Scholar
• Fernández, P. J., Campoy, G., García Santos, J. M., Antequera, M. M., García-Sevilla, J., Castillo, A., Antúnez, C., & Fuentes, L. J. (2011). Is there a specific pattern of attention deficit in mild cognitive impairment with subcortical vascular features? Evidence from the Attention Network Test. Dementia and Geriatric Cognitive Disorders, 31(4), 268–275. https://doi.org/10.1159/000327165
   PubMed Web of Science ®Google Scholar
• Fishburn, F. A., Ludlum, R. S., Vaidya, C. J., & Medvedev, A. V. (2019). Temporal derivative distribution repair (TDDR): A motion correction method for fNIRS. NeuroImage, 184, 171–179. https://doi.org/10.1016/j.neuroimage.2018.09.025
   PubMed Web of Science ®Google Scholar
• Frischen, A., Eastwood, J. D., & Smilek, D. (2008). Visual search for faces with emotional expressions. Psychological Bulletin, 134(5), 662–676. https://doi.org/10.1037/0033-2909.134.5.662
   PubMed Web of Science ®Google Scholar
• Gamboz, N., Zamarian, S., & Cavallero, C. (2010). Age-related differences in the attention network test (ANT). Experimental Aging Research, 36(3), 287–305. https://doi.org/10.1080/0361073X.2010.484729
   PubMed Web of Science ®Google Scholar
• Goodkind, M. S., Sturm, V. E., Ascher, E. A., Shdo, S. M., Miller, B. L., Rankin, K. P., & Levenson, R. W. (2015). Emotion recognition in frontotemporal dementia and Alzheimer’s disease: A new film-based assessment. Emotion, 15(4), 416–427. https://doi.org/10.1037/a0039261
   PubMed Web of Science ®Google Scholar
• Huppert, T. J., Diamond, S. G., Franceschini, M. A., & Boas, D. A. (2009). HomER: A review of time-series analysis methods for near-infrared spectroscopy of the brain. Applied Optics, 48(10), D280–D298. https://doi.org/10.1364/AO.48.00D280
   PubMed Web of Science ®Google Scholar
• Jennings, J. M., Dagenbach, D., Engle, C. M., & Funke, L. J. (2007). Age-related changes and the attention network task: An examination of alerting, orienting, and executive function. Aging, Neuropsychology, and Cognition, 14(4), 353-369. https://doi.org/10.1080/13825580600788837
   PubMed Web of Science ®Google Scholar
• Johnson, W., Logie, R. H., & Brockmole, J. R. (2010). Working memory tasks differ in factor structure across age cohorts: Implications for dedifferentiation. Intelligence, 38(5), 513–528. https://doi.org/10.1016/j.intell.2010.06.005
   Web of Science ®Google Scholar
• Knight, M., Seymour, T. L., Gaunt, J. T., Baker, C., Nesmith, K., & Mather, M. (2007). Aging and goal-directed emotional attention: Distraction reverses emotional biases. Emotion, 7(4), 705–714. https://doi.org/10.1037/1528-3542.7.4.705
   PubMed Web of Science ®Google Scholar
• Krinsky-McHale, S. J., Devenny, D. A., Kittler, P., & Silverman, W. (2008). Selective attention deficits associated with mild cognitive impairment and early stage Alzheimer's disease in adults with Down syndrome. American Journal on Mental Retardation, 113(5), 369–386. https://doi.org/10.1352/2008.113:369-386
   PubMedGoogle Scholar
• LaMonica, H. M., Keefe, R. S., Harvey, P. D., Gold, J. M., & Goldberg, T. E. (2010). Differential effects of emotional information on interference task performance across the life span. Frontiers in Aging Neuroscience, 2, 141. https://doi.org/10.3389/fnagi.2010.00141
   PubMed Web of Science ®Google Scholar
• Leclerc, C. M., & Kensinger, E. A. (2008). Effects of age on detection of emotional information. Psychology and Aging, 23(1), 209–215. https://doi.org/10.1037/0882-7974.23.1.209
   PubMed Web of Science ®Google Scholar
• Li, H. J., Hou, X. H., Liu, H. H., Yue, C. L., Lu, G. M., & Zuo, X. N. (2015). Putting age-related task activation into large-scale brain networks: A meta-analysis of 114 fMRI studies on healthy aging. Neuroscience & Biobehavioral Reviews, 57, 156–174. https://doi.org/10.1016/j.neubiorev.2015.08.013
   PubMed Web of Science ®Google Scholar
• MacLeod, J. W., Lawrence, M. A., McConnell, M. M., Eskes, G. A., Klein, R. M., & Shore, D. I. (2010). Appraising the ANT: Psychometric and theoretical considerations of the Attention Network Test. Neuropsychology, 24(5), 637–651. https://doi.org/10.1037/a0019803
   PubMed Web of Science ®Google Scholar
• Mah, L., Vandermorris, S., Verhoeff, N. P. L., & Herrmann, N. (2021). Emotion regulation in mild cognitive impairment and subjective cognitive decline. Alzheimer's & Dementia, 17, e055842. https://doi.org/10.1002/alz.055842
   Google Scholar
• Mather, M. (2012). The emotion paradox in the aging brain. Annals of the New York Academy of Sciences, 1251(1), 33–49. https://doi.org/10.1111/j.1749-6632.2012.06471.x
   PubMed Web of Science ®Google Scholar
• Mather, M., & Carstensen, L. L. (2003). Aging and attentional biases for emotional faces. Psychological Science, 14(5), 409–415. https://doi.org/10.1111/1467-9280.01455
   PubMed Web of Science ®Google Scholar
• Mogg, K., & Bradley, B. P. (2018). Anxiety and threat-related attention: Cognitive-motivational framework and treatment. Trends in Cognitive Sciences, 22(3), 225–240. https://doi.org/10.1016/j.tics.2018.01.001
   PubMed Web of Science ®Google Scholar
• Ochsner, K. N., & Phelps, E. (2007). Emerging perspectives on emotion–cognition interactions. Trends in Cognitive Sciences, 11(8), 317–318. https://doi.org/10.1016/j.tics.2007.06.008
   PubMed Web of Science ®Google Scholar
• Orgeta, V. (2011). Avoiding threat in late adulthood: Testing two life span theories of emotion. Experimental Aging Research, 37(4), 449–472. https://doi.org/10.1080/0361073X.2011.590759
   PubMed Web of Science ®Google Scholar
• Petersen, S. E., & Posner, M. I. (2012). The attention system of the human brain: 20 years after. Annual Review of Neuroscience, 35(1), 73–89. https://doi.org/10.1146/annurev-neuro-062111-150525
   PubMed Web of Science ®Google Scholar
• Salthouse, T. A. (1996). The processing-speed theory of adult age differences in cognition. Psychological Review, 103(3), 403–428. https://doi.org/10.1037/0033-295X.103.3.403
   PubMed Web of Science ®Google Scholar
• Samanez-Larkin, G. R., Robertson, E. R., Mikels, J. A., Carstensen, L. L., & Gotlib, I. H. (2009). Selective attention to emotion in the aging brain. Psychology and Aging, 24(3), 519–529. https://doi.org/10.1037/a0016952
   PubMed Web of Science ®Google Scholar
• Scheibe, S., & Blanchard-Fields, F. (2009). Effects of regulating emotions on cognitive performance: What is costly for young adults is not so costly for older adults. Psychology and Aging, 24(1), 217–223. https://doi.org/10.1037/a0013807
   PubMed Web of Science ®Google Scholar
• Scholkmann, F., & Wolf, M. (2013). General equation for the differential pathlength factor of the frontal human head depending on wavelength and age. Journal of Biomedical Optics, 18(10), 105004–105004. https://doi.org/10.1117/1.JBO.18.10.105004
   PubMed Web of Science ®Google Scholar
• Schretlen, D., Pearlson, G. D., Anthony, J. C., Aylward, E. H., Augustine, A. M., Davis, A., & Barta, P. (2000). Elucidating the contributions of processing speed, executive ability, and frontal lobe volume to normal age-related differences in fluid intelligence. Journal of the International Neuropsychological Society, 6(1), 52–61. https://doi.org/10.1017/S1355617700611062
   PubMed Web of Science ®Google Scholar
• Silveri, M. C., Reali, G., Jenner, C., & Puopolo, M. (2007). Attention and memory in the preclinical stage of dementia. Journal of Geriatric Psychiatry and Neurology, 20(2), 67–75. https://doi.org/10.1177/0891988706297469
   PubMed Web of Science ®Google Scholar
• Singh, A. K., Okamoto, M., Dan, H., Jurcak, V., & Dan, I. (2005). Spatial registration of multichannel multi-subject fNIRS data to MNI space without MRI. NeuroImage, 27(4), 842–851. https://doi.org/10.1016/j.neuroimage.2005.05.019
   PubMed Web of Science ®Google Scholar
• Spreng, R. N., Wojtowicz, M., & Grady, C. L. (2010). Reliable differences in brain activity between young and old adults: A quantitative meta-analysis across multiple cognitive domains. Neuroscience & Biobehavioral Reviews, 34(8), 1178–1194. https://doi.org/10.1016/j.neubiorev.2010.01.009
   PubMed Web of Science ®Google Scholar
• Theeuwes, J. (2010). Top–down and bottom–up control of visual selection. Acta Psychologica, 135(2), 77–99. https://doi.org/10.1016/j.actpsy.2010.02.006
   PubMed Web of Science ®Google Scholar
• Veale, J. F. (2014). Edinburgh Handedness Inventory – Short Form: A revised version based on confirmatory factor analysis. Laterality: Asymmetries of Body, Brain and Cognition, 19(2), 164–177. https://doi.org/10.1080/1357650X.2013.783045
   PubMed Web of Science ®Google Scholar
• West, R. L. (1996). An application of prefrontal cortex function theory to cognitive aging. Psychological Bulletin, 120(2), 272–292. https://doi.org/10.1037/0033-2909.120.2.272
   PubMed Web of Science ®Google Scholar
• Williams, R. S., Biel, A. L., Wegier, P., Lapp, L. K., Dyson, B. J., & Spaniol, J. (2016). Age differences in the Attention Network Test: Evidence from behavior and event-related potentials. Brain and Cognition, 102, 65–79. https://doi.org/10.1016/j.bandc.2015.12.007
   PubMed Web of Science ®Google Scholar
• Wong, A., Xiong, Y. Y., Kwan, P. W., Chan, A. Y., Lam, W. W., Wang, K., Chu, W. C. W., Nyenhuis, D. L., Nasreddine, Z., Wong, L. K. S., & Mok, V. C. (2009). The validity, reliability and clinical utility of the Hong Kong Montreal Cognitive Assessment (HK-MoCA) in patients with cerebral small vessel disease. Dementia and Geriatric Cognitive Disorders, 28(1), 81–87. https://doi.org/10.1159/000232589
   PubMed Web of Science ®Google Scholar
• Woods, D. L., Wyma, J. M., Yund, E. W., Herron, T. J., & Reed, B. (2015). Factors influencing the latency of simple reaction time. Frontiers in Human Neuroscience, 9, 131. https://doi.org/10.3389/fnhum.2015.00131
   PubMed Web of Science ®Google Scholar
• Yang, T., Yang, Z., Xu, G., Gao, D., Zhang, Z., Wang, H., & Sun, P. (2020). Tsinghua facial expression database – A database of facial expressions in Chinese young and older women and men: Development and validation. PLoS One, 15(4), e0231304. https://doi.org/10.1371/journal.pone.0231304
   PubMed Web of Science ®Google Scholar
• Yeung, M. K. (2023). Context-specific effects of threatening faces on alerting, orienting, and executive control: A fNIRS study. Heliyon, 9, e15995. https://doi.org/10.1016/j.heliyon.2023.e15995
   PubMed Web of Science ®Google Scholar
• Yücel, M. A., Lühmann, A. V., Scholkmann, F., Gervain, J., Dan, I., Ayaz, H., Boas, D., Cooper, R. J., Culver, J., Elwell, C. E., Eggebrecht, A., Franceschini, M. A., Grova, C., Homae, F., Lesage, F., Obrig, H., Tachtsidis, I., Tak, S., Tong, Y., … Wolf, M. (2021). Best practices for fNIRS publications. Neurophotonics, 8(1), 012101. https://doi.org/10.1117/1.NPh.8.1.012101
   PubMed Web of Science ®Google Scholar
• Zebrowitz, L. A. (2006). Finally, faces find favor. Social Cognition, 24(5), 657–701. https://doi.org/10.1521/soco.2006.24.5.657
   Web of Science ®Google Scholar
• Zhang, X., Noah, J. A., Dravida, S., & Hirsch, J. (2017). Signal processing of functional NIRS data acquired during overt speaking. Neurophotonics, 4(4), 041409. https://doi.org/10.1117/1.NPh.4.4.041409
   PubMed Web of Science ®Google Scholar
• Zhou, S. S., Fan, J., Lee, T. M., Wang, C. Q., & Wang, K. (2011). Age-related differences in attentional networks of alerting and executive control in young, middle-aged, and older Chinese adults. Brain and Cognition, 75(2), 205–210. https://doi.org/10.1016/j.bandc.2010.12.003
   PubMed Web of Science ®Google Scholar