Paranawithana I - Search Results

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Language networks of normal-hearing infants exhibit topological differences between resting and steady states: An fNIRS functional connectivity study.

Paranawithana I, Mao D, McKay CM, Wong YT. Paranawithana I, et al. Hum Brain Mapp. 2024 Sep;45(13):e70021. doi: 10.1002/hbm.70021. Hum Brain Mapp. 2024. PMID: 39258437 Free PMC article.

Investigating the Effect of Data Length on the Performance of Frequency-Domain fNIRS Functional Connectivity Measures.

Paranawithana I, Mao D, McKay CM, Wong YT. Paranawithana I, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2023 Jul;2023:1-4. doi: 10.1109/EMBC40787.2023.10340981. Annu Int Conf IEEE Eng Med Biol Soc. 2023. PMID: 38083703

Connections between spatially distant primary language regions strengthen with age during infancy, as revealed by resting-state fNIRS.

Paranawithana I, Mao D, McKay CM, Wong YT. Paranawithana I, et al. J Neural Eng. 2023 Feb 24;20(1). doi: 10.1088/1741-2552/acbb2d. J Neural Eng. 2023. PMID: 36763991

Reducing false discoveries in resting-state functional connectivity using short channel correction: an fNIRS study.

Paranawithana I, Mao D, Wong YT, McKay CM. Paranawithana I, et al. Neurophotonics. 2022 Jan;9(1):015001. doi: 10.1117/1.NPh.9.1.015001. Epub 2022 Jan 18. Neurophotonics. 2022. PMID: 35071689 Free PMC article.

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