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Items: 1 to 20 of 38

1.

fNIRS Studies on Hemispheric Asymmetry in Atypical Neural Function in Developmental Disorders.

Doi H, Shinohara K.

Front Hum Neurosci. 2017 Apr 12;11:137. doi: 10.3389/fnhum.2017.00137. eCollection 2017. Review.

2.

Analysis of Different Classification Techniques for Two-Class Functional Near-Infrared Spectroscopy-Based Brain-Computer Interface.

Naseer N, Qureshi NK, Noori FM, Hong KS.

Comput Intell Neurosci. 2016;2016:5480760. Epub 2016 Sep 20.

3.

Determining Optimal Feature-Combination for LDA Classification of Functional Near-Infrared Spectroscopy Signals in Brain-Computer Interface Application.

Naseer N, Noori FM, Qureshi NK, Hong KS.

Front Hum Neurosci. 2016 May 25;10:237. doi: 10.3389/fnhum.2016.00237. eCollection 2016.

4.

Functional near-infrared spectroscopy for neuroimaging in cochlear implant recipients.

Saliba J, Bortfeld H, Levitin DJ, Oghalai JS.

Hear Res. 2016 Aug;338:64-75. doi: 10.1016/j.heares.2016.02.005. Epub 2016 Feb 13. Review.

PMID:
26883143
5.

"Optical communication with brain cells by means of an implanted duplex micro-device with optogenetics and Ca(2+) fluoroimaging".

Kobayashi T, Haruta M, Sasagawa K, Matsumata M, Eizumi K, Kitsumoto C, Motoyama M, Maezawa Y, Ohta Y, Noda T, Tokuda T, Ishikawa Y, Ohta J.

Sci Rep. 2016 Feb 16;6:21247. doi: 10.1038/srep21247.

6.

fNIRS in the developmental sciences.

Wilcox T, Biondi M.

Wiley Interdiscip Rev Cogn Sci. 2015 May-Jun;6(3):263-83. doi: 10.1002/wcs.1343. Epub 2015 Feb 23. Review.

7.

Concurrent fNIRS-fMRI measurement to validate a method for separating deep and shallow fNIRS signals by using multidistance optodes.

Funane T, Sato H, Yahata N, Takizawa R, Nishimura Y, Kinoshita A, Katura T, Atsumori H, Fukuda M, Kasai K, Koizumi H, Kiguchi M.

Neurophotonics. 2015 Jan;2(1):015003. doi: 10.1117/1.NPh.2.1.015003. Epub 2015 Feb 4.

8.

Exploring effective multiplicity in multichannel functional near-infrared spectroscopy using eigenvalues of correlation matrices.

Uga M, Dan I, Dan H, Kyutoku Y, Taguchi YH, Watanabe E.

Neurophotonics. 2015 Jan;2(1):015002. doi: 10.1117/1.NPh.2.1.015002. Epub 2015 Feb 4.

9.

Greater contribution of cerebral than extracerebral hemodynamics to near-infrared spectroscopy signals for functional activation and resting-state connectivity in infants.

Funane T, Homae F, Watanabe H, Kiguchi M, Taga G.

Neurophotonics. 2014 Oct;1(2):025003. doi: 10.1117/1.NPh.1.2.025003. Epub 2014 Sep 2.

10.

Reduced Haemodynamic Response in the Ageing Visual Cortex Measured by Absolute fNIRS.

Ward LM, Aitchison RT, Tawse M, Simmers AJ, Shahani U.

PLoS One. 2015 Apr 24;10(4):e0125012. doi: 10.1371/journal.pone.0125012. eCollection 2015.

11.

fNIRS-based brain-computer interfaces: a review.

Naseer N, Hong KS.

Front Hum Neurosci. 2015 Jan 28;9:3. doi: 10.3389/fnhum.2015.00003. eCollection 2015. Review. Erratum in: Front Hum Neurosci. 2015;9:172.

12.

Possible influences of exercise-intensity-dependent increases in non-cortical hemodynamic variables on NIRS-based neuroimaging analysis during cognitive tasks: Technical note.

Byun K, Hyodo K, Suwabe K, Kujach S, Kato M, Soya H.

J Exerc Nutrition Biochem. 2014 Dec;18(4):327-32. doi: 10.5717/jenb.2014.18.4.327. Epub 2014 Nov 27.

13.

Cerebral functional imaging using near-infrared spectroscopy during repeated performances of motor rehabilitation tasks tested on healthy subjects.

Ishikuro K, Urakawa S, Takamoto K, Ishikawa A, Ono T, Nishijo H.

Front Hum Neurosci. 2014 May 13;8:292. doi: 10.3389/fnhum.2014.00292. eCollection 2014.

14.

Caffeine alters resting-state functional connectivity measured by blood oxygenation level-dependent MRI.

Wu WC, Lien SH, Chang JH, Yang SC.

NMR Biomed. 2014 Apr;27(4):444-52. doi: 10.1002/nbm.3080. Epub 2014 Jan 30.

15.

Effect of Lactate Accumulation during Exercise-induced Muscle Fatigue on the Sensorimotor Cortex.

Ishii H, Nishida Y.

J Phys Ther Sci. 2013 Dec;25(12):1637-42. doi: 10.1589/jpts.25.1637. Epub 2014 Jan 8.

16.

Extended hierarchical Bayesian diffuse optical tomography for removing scalp artifact.

Shimokawa T, Kosaka T, Yamashita O, Hiroe N, Amita T, Inoue Y, Sato MA.

Biomed Opt Express. 2013 Oct 10;4(11):2411-32. doi: 10.1364/BOE.4.002411. eCollection 2013.

17.

Near-infrared spectroscopy in schizophrenia: a possible biomarker for predicting clinical outcome and treatment response.

Koike S, Nishimura Y, Takizawa R, Yahata N, Kasai K.

Front Psychiatry. 2013 Nov 14;4:145. doi: 10.3389/fpsyt.2013.00145. eCollection 2013. Review.

18.

Neurovascular coupling in normal aging: a combined optical, ERP and fMRI study.

Fabiani M, Gordon BA, Maclin EL, Pearson MA, Brumback-Peltz CR, Low KA, McAuley E, Sutton BP, Kramer AF, Gratton G.

Neuroimage. 2014 Jan 15;85 Pt 1:592-607. doi: 10.1016/j.neuroimage.2013.04.113. Epub 2013 May 9.

19.

Decreased right temporal activation and increased interhemispheric connectivity in response to speech in preterm infants at term-equivalent age.

Naoi N, Fuchino Y, Shibata M, Niwa F, Kawai M, Konishi Y, Okanoya K, Myowa-Yamakoshi M.

Front Psychol. 2013 Mar 1;4:94. doi: 10.3389/fpsyg.2013.00094. eCollection 2013.

20.

A multidimensional approach to pain assessment in critically ill infants during a painful procedure.

Ranger M, Celeste Johnston C, Rennick JE, Limperopoulos C, Heldt T, du Plessis AJ.

Clin J Pain. 2013 Jul;29(7):613-20. doi: 10.1097/AJP.0b013e31826dfb13.

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