Tak S - Search Results

1

Errata: Best practices for fNIRS publications.

Yücel MA, Lühmann AV, Scholkmann F, Gervain J, Dan I, Ayaz H, Boas D, Cooper RJ, Culver J, Elwell CE, Eggebrecht A, Franceschini MA, Grova C, Homae F, Lesage F, Obrig H, Tachtsidis I, Tak S, Tong Y, Torricelli A, Wabnitz H, Wolf M. Yücel MA, et al. Among authors: tak s. Neurophotonics. 2021 Jan;8(1):019802. doi: 10.1117/1.NPh.8.1.019802. Epub 2021 Feb 8. Neurophotonics. 2021. PMID: 33575435 Free PMC article.

2

Sensor space group analysis for fNIRS data.

Tak S, Uga M, Flandin G, Dan I, Penny WD. Tak S, et al. J Neurosci Methods. 2016 May 1;264:103-112. doi: 10.1016/j.jneumeth.2016.03.003. Epub 2016 Mar 4. J Neurosci Methods. 2016. PMID: 26952847 Free PMC article.

3

Best practices for fNIRS publications.

Yücel MA, Lühmann AV, Scholkmann F, Gervain J, Dan I, Ayaz H, Boas D, Cooper RJ, Culver J, Elwell CE, Eggebrecht A, Franceschini MA, Grova C, Homae F, Lesage F, Obrig H, Tachtsidis I, Tak S, Tong Y, Torricelli A, Wabnitz H, Wolf M. Yücel MA, et al. Among authors: tak s. Neurophotonics. 2021 Jan;8(1):012101. doi: 10.1117/1.NPh.8.1.012101. Epub 2021 Jan 7. Neurophotonics. 2021. PMID: 33442557 Free PMC article.

4

A deep convolutional neural network for estimating hemodynamic response function with reduction of motion artifacts in fNIRS.

Kim M, Lee S, Dan I, Tak S. Kim M, et al. Among authors: tak s. J Neural Eng. 2022 Feb 3;19(1). doi: 10.1088/1741-2552/ac4bfc. J Neural Eng. 2022. PMID: 35038682

5

Dynamic causal modelling on infant fNIRS data: A validation study on a simultaneously recorded fNIRS-fMRI dataset.

Bulgarelli C, Blasi A, Arridge S, Powell S, de Klerk CCJM, Southgate V, Brigadoi S, Penny W, Tak S, Hamilton A. Bulgarelli C, et al. Among authors: tak s. Neuroimage. 2018 Jul 15;175:413-424. doi: 10.1016/j.neuroimage.2018.04.022. Epub 2018 Apr 12. Neuroimage. 2018. PMID: 29655936 Free PMC article.

6

Lipschitz-Killing curvature based expected Euler characteristics for p-value correction in fNIRS.

Li H, Tak S, Ye JC. Li H, et al. Among authors: tak s. J Neurosci Methods. 2012 Feb 15;204(1):61-67. doi: 10.1016/j.jneumeth.2011.10.016. Epub 2011 Oct 30. J Neurosci Methods. 2012. PMID: 22074819

7

Dynamic causal modelling for functional near-infrared spectroscopy.

Tak S, Kempny AM, Friston KJ, Leff AP, Penny WD. Tak S, et al. Neuroimage. 2015 May 1;111:338-49. doi: 10.1016/j.neuroimage.2015.02.035. Epub 2015 Feb 25. Neuroimage. 2015. PMID: 25724757 Free PMC article.

8

A validation of dynamic causal modelling for 7T fMRI.

Tak S, Noh J, Cheong C, Zeidman P, Razi A, Penny WD, Friston KJ. Tak S, et al. J Neurosci Methods. 2018 Jul 15;305:36-45. doi: 10.1016/j.jneumeth.2018.05.002. Epub 2018 May 23. J Neurosci Methods. 2018. PMID: 29758234

9

Effects of Autonomous Sensory Meridian Response on the Functional Connectivity as Measured by Functional Magnetic Resonance Imaging.

Lee S, Kim J, Tak S. Lee S, et al. Among authors: tak s. Front Behav Neurosci. 2020 Aug 27;14:154. doi: 10.3389/fnbeh.2020.00154. eCollection 2020. Front Behav Neurosci. 2020. PMID: 33192358 Free PMC article.

10

Altered Effective Connectivity within the Fronto-Limbic Circuitry in Response to Negative Emotional Task in Female Patients with Major Depressive Disorder.

Tak S, Lee S, Park CA, Cheong EN, Seok JW, Sohn JH, Cheong C. Tak S, et al. Brain Connect. 2021 May;11(4):264-277. doi: 10.1089/brain.2020.0859. Epub 2021 Feb 5. Brain Connect. 2021. PMID: 33403894

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