1
|
Hou X, Xiao X, Gong Y, Li Z, Chen A, Zhu C. Functional Near-Infrared Spectroscopy Neurofeedback Enhances Human Spatial Memory. Front Hum Neurosci 2021; 15:681193. [PMID: 34658812 PMCID: PMC8511425 DOI: 10.3389/fnhum.2021.681193] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 09/09/2021] [Indexed: 11/13/2022] Open
Abstract
Spatial memory is an important cognitive function for human daily life and may present dysfunction or decline due to aging or clinical diseases. Functional near-infrared spectroscopy neurofeedback (fNIRS-NFB) is a promising neuromodulation technique with several special advantages that can be used to improve human cognitive functions by manipulating the neural activity of targeted brain regions or networks. In this pilot study, we intended to test the feasibility of fNIRS-NFB to enhance human spatial memory ability. The lateral parietal cortex, an accessible cortical region in the posterior medial hippocampal-cortical network that plays a crucial role in human spatial memory processing, was selected as the potential feedback target. A placebo-controlled fNIRS-NFB experiment was conducted to instruct individuals to regulate the neural activity in this region or an irrelevant control region. Experimental results showed that individuals learned to up-regulate the neural activity in the region of interest successfully. A significant increase in spatial memory performance was found after 8-session neurofeedback training in the experimental group but not in the control group. Furthermore, neurofeedback-induced neural activation increase correlated with spatial memory improvement. In summary, this study preliminarily demonstrated the feasibility of fNIRS-NFB to improve human spatial memory and has important implications for further applications.
Collapse
Affiliation(s)
- Xin Hou
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.,School of Education, Chongqing Normal University, Chongqing, China
| | - Xiang Xiao
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Yilong Gong
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Zheng Li
- State Key Laboratory of Cognitive Neuroscience and Learning, Center for Cognition and Neuroergonomics, Beijing Normal University at Zhuhai, Zhuhai, China.,Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China
| | - Antao Chen
- Key Laboratory of Cognition and Personality of the Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Chaozhe Zhu
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.,Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China
| |
Collapse
|
2
|
He S, Mostofi A, Syed E, Torrecillos F, Tinkhauser G, Fischer P, Pogosyan A, Hasegawa H, Li Y, Ashkan K, Pereira E, Brown P, Tan H. Subthalamic beta-targeted neurofeedback speeds up movement initiation but increases tremor in Parkinsonian patients. eLife 2020; 9:e60979. [PMID: 33205752 PMCID: PMC7695453 DOI: 10.7554/elife.60979] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Accepted: 11/16/2020] [Indexed: 12/17/2022] Open
Abstract
Previous studies have explored neurofeedback training for Parkinsonian patients to suppress beta oscillations in the subthalamic nucleus (STN). However, its impacts on movements and Parkinsonian tremor are unclear. We developed a neurofeedback paradigm targeting STN beta bursts and investigated whether neurofeedback training could improve motor initiation in Parkinson's disease compared to passive observation. Our task additionally allowed us to test which endogenous changes in oscillatory STN activities are associated with trial-to-trial motor performance. Neurofeedback training reduced beta synchrony and increased gamma activity within the STN, and reduced beta band coupling between the STN and motor cortex. These changes were accompanied by reduced reaction times in subsequently cued movements. However, in Parkinsonian patients with pre-existing symptoms of tremor, successful volitional beta suppression was associated with an amplification of tremor which correlated with theta band activity in STN local field potentials, suggesting an additional cross-frequency interaction between STN beta and theta activities.
Collapse
Affiliation(s)
- Shenghong He
- MRC Brain Network Dynamics Unit at the University of OxfordOxfordUnited Kingdom
- Nuffield Department of Clinical Neurosciences, University of OxfordOxfordUnited Kingdom
| | - Abteen Mostofi
- Neurosciences Research Centre, Molecular and Clinical Sciences Research Institute, St George’s University of LondonLondonUnited Kingdom
| | - Emilie Syed
- MRC Brain Network Dynamics Unit at the University of OxfordOxfordUnited Kingdom
| | - Flavie Torrecillos
- MRC Brain Network Dynamics Unit at the University of OxfordOxfordUnited Kingdom
- Nuffield Department of Clinical Neurosciences, University of OxfordOxfordUnited Kingdom
| | - Gerd Tinkhauser
- MRC Brain Network Dynamics Unit at the University of OxfordOxfordUnited Kingdom
- Department of Neurology, Bern University Hospital and University of BernBernSwitzerland
| | - Petra Fischer
- MRC Brain Network Dynamics Unit at the University of OxfordOxfordUnited Kingdom
- Nuffield Department of Clinical Neurosciences, University of OxfordOxfordUnited Kingdom
| | - Alek Pogosyan
- MRC Brain Network Dynamics Unit at the University of OxfordOxfordUnited Kingdom
- Nuffield Department of Clinical Neurosciences, University of OxfordOxfordUnited Kingdom
| | - Harutomo Hasegawa
- Department of Neurosurgery, King's College Hospital NHS Foundation Trust, King's Health PartnersLondonUnited Kingdom
| | - Yuanqing Li
- School of Automation Science and Engineering, South China University of TechnologyGuangzhouChina
| | - Keyoumars Ashkan
- Department of Neurosurgery, King's College Hospital NHS Foundation Trust, King's Health PartnersLondonUnited Kingdom
| | - Erlick Pereira
- Neurosciences Research Centre, Molecular and Clinical Sciences Research Institute, St George’s University of LondonLondonUnited Kingdom
| | - Peter Brown
- MRC Brain Network Dynamics Unit at the University of OxfordOxfordUnited Kingdom
- Nuffield Department of Clinical Neurosciences, University of OxfordOxfordUnited Kingdom
| | - Huiling Tan
- MRC Brain Network Dynamics Unit at the University of OxfordOxfordUnited Kingdom
- Nuffield Department of Clinical Neurosciences, University of OxfordOxfordUnited Kingdom
| |
Collapse
|