เกี่ยวกับตอนนี้
Link to bioRxiv paper:
http://biorxiv.org/cgi/content/short/2020.05.11.047894v1?rss=1
Authors: Coquelet, N., Wens, V., Mary, A., Niesen, M., Puttaert, D., Ranzini, M., Vander Ghinst, M., Bourguignon, M., Peigneux, P., Goldman, S., Woolrich, M. W., De Tiege, X.
Abstract:
This magnetoencephalography study aimed at characterizing age-related changes in resting-state functional brain organization from mid-childhood to late adulthood. We investigated neuromagnetic brain activity at rest in 105 participants divided into three age groups: children (6-9 years), young adults (18-34 years) and healthy elders (53-78 years). The effects of age on static resting-state functional integration were assessed using band-limited power envelope correlation, whereas those on transient functional dynamics were disclosed using hidden Markov modeling of power envelope activity. Brain development from childhood to adulthood came with (i) a strengthening of functional integration within and between resting-state networks and (ii) an increased temporal stability of transient (100-300 ms lifetime) and recurrent states of network activation or deactivation mainly encompassing lateral or medial associative neocortical areas. Healthy aging was characterized by decreased static resting-state functional integration and dynamical stability within the visual network. These results based on electrophysiological measurements free of neurovascular biases suggest that functional brain integration mainly evolves during brain development, with limited changes in healthy aging. These novel electrophysiological insights into human brain functional architecture across the lifespan pave the way for future clinical studies investigating how brain disorders affect brain development or healthy aging.
Copy rights belong to original authors. Visit the link for more info
http://biorxiv.org/cgi/content/short/2020.05.11.047894v1?rss=1
Authors: Coquelet, N., Wens, V., Mary, A., Niesen, M., Puttaert, D., Ranzini, M., Vander Ghinst, M., Bourguignon, M., Peigneux, P., Goldman, S., Woolrich, M. W., De Tiege, X.
Abstract:
This magnetoencephalography study aimed at characterizing age-related changes in resting-state functional brain organization from mid-childhood to late adulthood. We investigated neuromagnetic brain activity at rest in 105 participants divided into three age groups: children (6-9 years), young adults (18-34 years) and healthy elders (53-78 years). The effects of age on static resting-state functional integration were assessed using band-limited power envelope correlation, whereas those on transient functional dynamics were disclosed using hidden Markov modeling of power envelope activity. Brain development from childhood to adulthood came with (i) a strengthening of functional integration within and between resting-state networks and (ii) an increased temporal stability of transient (100-300 ms lifetime) and recurrent states of network activation or deactivation mainly encompassing lateral or medial associative neocortical areas. Healthy aging was characterized by decreased static resting-state functional integration and dynamical stability within the visual network. These results based on electrophysiological measurements free of neurovascular biases suggest that functional brain integration mainly evolves during brain development, with limited changes in healthy aging. These novel electrophysiological insights into human brain functional architecture across the lifespan pave the way for future clinical studies investigating how brain disorders affect brain development or healthy aging.
Copy rights belong to original authors. Visit the link for more info
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ค้นหาตอนที่ผ่านมาของ PaperPlayer biorxiv neuroscience
ตอนอื่นๆ ใน PODCAST นี้
Link to bioRxiv paper:
http://biorxiv.org/cgi/content/short/2020.04.22.055731v1?rss=1
Authors: Roth, J. G., Muench, K. L., Asokan, A., Mallett, V. M., Gai, H., Verma, Y., Weber, S., Charlton, C., Fowler, J. L., Loh, K. M., Dolmetsch, R. E., Palmer, T. D.
Abstract:
Microdeletions and microduplic…
Link to bioRxiv paper:
http://biorxiv.org/cgi/content/short/2020.04.22.055228v1?rss=1
Authors: Hollinger, K. R., Sharma, A., Tallon, C., Lovell, L., Thomas, A. G., Zhu, X., Kambhampati, S. P., Liaw, K., Sharma, R., Rojas, C., Rais, R., Kannan, S., Kannan, R. M., Slusher, B.
Abstract:
Roughly ha…
Link to bioRxiv paper:
http://biorxiv.org/cgi/content/short/2020.04.22.054064v1?rss=1
Authors: Matho, K. S. H., Huilgol, D., Galbavy, W., Kim, G., He, M., An, X., Lu, J., Wu, P., Di Bella, D. J., Shetty, A. S., Palaniswamy, R., Hatfield, J., Raudales, R., Narasimhan, A., Gamache, E., Levine, J. M…
Link to bioRxiv paper:
http://biorxiv.org/cgi/content/short/2020.04.22.056481v1?rss=1
Authors: Chen, P.-C., Whitehurst, L. N., Naji, M., Mednick, S. C.
Abstract:
Working memory (WM) is an executive function that can improve with training. However, the precise mechanism for this improvement is n…
Link to bioRxiv paper:
http://biorxiv.org/cgi/content/short/2020.04.22.056432v1?rss=1
Authors: Yamashita, A., Sakai, Y., Yamada, T., Yahata, N., Kunimatsu, A., Okada, N., Itahashi, T., Hashimoto, R.-i., Mizuta, H., Ichikawa, N., Takamura, M., Okada, G., Yamagata, H., Harada, K., Matsuo, K., Tanak…
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