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Clinical Interventions in Aging Volume 10, 2015 - Issue
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Original Research

A pilot randomized controlled trial using EEG-based brain–computer interface training for a Chinese-speaking group of healthy elderly

Tih-Shih Lee1 Department of Neuroscience and Behavioral Disorders, Duke-NUS Graduate Medical School, SingaporeCorrespondence[email protected]
,
Shin Yi Quek1 Department of Neuroscience and Behavioral Disorders, Duke-NUS Graduate Medical School, Singapore
,
Siau Juinn Alexa Goh1 Department of Neuroscience and Behavioral Disorders, Duke-NUS Graduate Medical School, Singapore
,
Rachel Phillips2 Singapore Clinical Research Institute, Singapore
,
Cuntai Guan3 Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore
,
Yin Bun Cheung4 Centre for Quantitative Medicine, Duke-NUS Graduate Medical School, Singapore
,
Lei Feng5 Department of Psychological Medicine, National University of Singapore, Singapore
,
Chuan Chu Wang3 Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore
,
Zheng Yang Chin3 Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore
,
Haihong Zhang3 Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore
,
Jimmy Lee6 Department of General Psychiatry/Department of Research, Institute of Mental Health, Singapore
,
Tze Pin Ng5 Department of Psychological Medicine, National University of Singapore, Singapore
&
K Ranga Rama Krishnan1 Department of Neuroscience and Behavioral Disorders, Duke-NUS Graduate Medical School, Singapore
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Pages 217-227 | Published online: 09 Jan 2015

Citations (8)

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Rachel Phillips, Gao Qi, Simon Lowes Collinson, Audrey Ling, Lei Feng, Yin Bun Cheung & Tze-Pin Ng. (2015) The Minimum Clinically Important Difference in the Repeatable Battery for the Assessment of Neuropsychological Status. The Clinical Neuropsychologist 29:7, pages 905-923.
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Articles from other publishers (7)

Luca Mesin, Giuseppina Elena Cipriani & Martina Amanzio. (2023) Electroencephalography-Based Brain–Machine Interfaces in Older Adults: A Literature Review. Bioengineering 10:4, pages 395.
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Xiaowei Sun, Mingyue Li, Quan Li, Hongna Yin, Xicheng Jiang, Hongtao Li, Zhongren Sun & Tiansong Yang. (2022) Poststroke Cognitive Impairment Research Progress on Application of Brain-Computer Interface. BioMed Research International 2022, pages 1-16.
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Pasin Israsena, Suwicha Jirayucharoensak, Solaphat Hemrungrojn & Setha Pan-Ngum. (2021) Brain Exercising Games With Consumer-Grade Single-Channel Electroencephalogram Neurofeedback: Pre-Post Intervention Study. JMIR Serious Games 9:2, pages e26872.
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Pei Shi Yeo, Tu Ngoc Nguyen, Mary Pei Ern Ng, Robin Wai Munn Choo, Philip Lin Kiat Yap, Tze Pin Ng & Shiou Liang Wee. (2021) Evaluation of the Implementation and Effectiveness of Community-Based Brain-Computer Interface Cognitive Group Training in Healthy Community-Dwelling Older Adults: Randomized Controlled Implementation Trial. JMIR Formative Research 5:4, pages e25462.
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Johannes Kögel, Jennifer R. Schmid, Ralf J. Jox & Orsolya Friedrich. (2019) Using brain-computer interfaces: a scoping review of studies employing social research methods. BMC Medical Ethics 20:1.
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Gabriella E. M. Rizzo & Matthew Rizzo. 2018. The Wiley Handbook on the Aging Mind and Brain. The Wiley Handbook on the Aging Mind and Brain 204 222 .
Laura Carelli, Federica Solca, Andrea Faini, Paolo Meriggi, Davide Sangalli, Pietro Cipresso, Giuseppe Riva, Nicola Ticozzi, Andrea Ciammola, Vincenzo Silani & Barbara Poletti. (2017) Brain-Computer Interface for Clinical Purposes: Cognitive Assessment and Rehabilitation. BioMed Research International 2017, pages 1-11.
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