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Jeong I, Kaneko N, Takahashi R, Nakazawa K. High-skilled first-person shooting game players have specific frontal lobe activity: Power spectrum analysis in an electroencephalogram study. Neurosci Lett 2024; 825:137685. [PMID: 38367797 DOI: 10.1016/j.neulet.2024.137685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 02/01/2024] [Accepted: 02/09/2024] [Indexed: 02/19/2024]
Abstract
First-person shooting (FPS) games are among the most famous video games worldwide. However, cortical activities in environments related to real FPS games have not been studied. This study aimed to determine differences in cortical activity between low- and high-skilled FPS game players using 160-channel electroencephalography. Nine high-skilled FPS game players (official ranks: above the top 10%) and eight low-skilled FPS game players (official ranks: lower than the top 20%) were recruited for the experiment. The task was set for five different conditions using the AimLab program, which was used for the FPS game players' training. Additionally, we recorded the brain activity in the resting condition before and after the task, in which the participants closed their eyes and relaxed. The reaction time and accuracy (the number of hit-and-miss targets) were calculated to evaluate the task performance. The results showed that high-skilled FPS game players have fast reaction times and high accuracy during tasks. High-skilled FPS game players had higher cortical activity in the frontal cortex than low-skilled FPS game players during each task. In low-skilled players, cortical activity level and performance level were associated. These results suggest that high cortical activity levels were critical to achieving high performance in FPS games.
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Affiliation(s)
- Inhyeok Jeong
- Graduate School of Arts and Sciences, Department of Life Sciences, The University of Tokyo, 3-8-1 Komaba, Meguro, Tokyo 153-8902, Japan
| | - Naotsugu Kaneko
- Graduate School of Arts and Sciences, Department of Life Sciences, The University of Tokyo, 3-8-1 Komaba, Meguro, Tokyo 153-8902, Japan
| | - Ryogo Takahashi
- Graduate School of Arts and Sciences, Department of Life Sciences, The University of Tokyo, 3-8-1 Komaba, Meguro, Tokyo 153-8902, Japan
| | - Kimitaka Nakazawa
- Graduate School of Arts and Sciences, Department of Life Sciences, The University of Tokyo, 3-8-1 Komaba, Meguro, Tokyo 153-8902, Japan.
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Anjum MF, Espinoza AI, Cole RC, Singh A, May P, Uc EY, Dasgupta S, Narayanan NS. Resting-state EEG measures cognitive impairment in Parkinson's disease. NPJ Parkinsons Dis 2024; 10:6. [PMID: 38172519 PMCID: PMC10764756 DOI: 10.1038/s41531-023-00602-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 11/14/2023] [Indexed: 01/05/2024] Open
Abstract
Cognitive dysfunction is common in Parkinson's disease (PD). We developed and evaluated an EEG-based biomarker to index cognitive functions in PD from a few minutes of resting-state EEG. We hypothesized that synchronous changes in EEG across the power spectrum can measure cognition. We optimized a data-driven algorithm to efficiently capture these changes and index cognitive function in 100 PD and 49 control participants. We compared our EEG-based cognitive index with the Montreal cognitive assessment (MoCA) and cognitive tests across different domains from National Institutes of Health (NIH) Toolbox using cross-validations, regression models, and randomization tests. Finally, we externally validated our approach on 32 PD participants. We observed cognition-related changes in EEG over multiple spectral rhythms. Utilizing only 8 best-performing electrodes, our proposed index strongly correlated with cognition (MoCA: rho = 0.68, p value < 0.001; NIH-Toolbox cognitive tests: rho ≥ 0.56, p value < 0.001) outperforming traditional spectral markers (rho = -0.30-0.37). The index showed a strong fit in regression models (R2 = 0.46) with MoCA, yielded 80% accuracy in detecting cognitive impairment, and was effective in both PD and control participants. Notably, our approach was equally effective (rho = 0.68, p value < 0.001; MoCA) in out-of-sample testing. In summary, we introduced a computationally efficient data-driven approach for cross-domain cognition indexing using fewer than 10 EEG electrodes, potentially compatible with dynamic therapies like closed-loop neurostimulation. These results will inform next-generation neurophysiological biomarkers for monitoring cognition in PD and other neurological diseases.
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Affiliation(s)
- Md Fahim Anjum
- Department of Neurology, University of California San Francisco, San Francisco, CA, 94143, USA.
| | - Arturo I Espinoza
- Department of Neurology, The University of Iowa, Iowa city, IA, 52240, USA
| | - Rachel C Cole
- Department of Neurology, The University of Iowa, Iowa city, IA, 52240, USA
| | - Arun Singh
- Division of Basic Biomedical Sciences, Sanford School of Medicine, University of South Dakota, South Dakota, SD, 57069, USA
| | - Patrick May
- Department of Electrical and Computer Engineering, The University of Iowa, Iowa city, IA, 52240, USA
| | - Ergun Y Uc
- Department of Neurology, The University of Iowa, Iowa city, IA, 52240, USA
- Neurology Service, Iowa City VA Medical Center, Iowa city, IA, 52240, USA
| | - Soura Dasgupta
- Department of Electrical and Computer Engineering, The University of Iowa, Iowa city, IA, 52240, USA
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Rahman M, Karwowski W, Sapkota N, Ismail L, Alhujailli A, Sumano RF, Hancock PA. Isometric Arm Forces Exerted by Females at Different Levels of Physical Comfort and Their EEG Signatures. Brain Sci 2023; 13:1027. [PMID: 37508959 PMCID: PMC10377375 DOI: 10.3390/brainsci13071027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 06/26/2023] [Accepted: 06/29/2023] [Indexed: 07/30/2023] Open
Abstract
A variety of subjective measures have traditionally been used to assess the perception of physical exertion at work and related body responses. However, the current understanding of physical comfort experienced at work is very limited. The main objective of this study was first to investigate the magnitude of isometric arm forces exerted by females at different levels of physical comfort measured on a new comfort scale and, second, to assess their corresponding neural signatures expressed in terms of power spectral density (PSD). The study assessed PSDs of four major electroencephalography (EEG) frequency bands, focusing on the brain regions controlling motor and perceptual processing. The results showed statistically significant differences in exerted arm forces and the rate of perceived exertion at the various levels of comfort. Significant differences in power spectrum density at different physical comfort levels were found for the beta EEG band. Such knowledge can be useful in incorporating female users' force requirements in the design of consumer products, including tablets, laptops, and other hand-held information technology devices, as well as various industrial processes and work systems.
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Affiliation(s)
- Mahjabeen Rahman
- Computational Neuroergonomics Laboratory, Department of Industrial Engineering and Management Systems, University of Central Florida, Orlando, FL 32816, USA
| | - Waldemar Karwowski
- Computational Neuroergonomics Laboratory, Department of Industrial Engineering and Management Systems, University of Central Florida, Orlando, FL 32816, USA
| | - Nabin Sapkota
- Department of Engineering Technology, Northwestern State University of Louisiana, Natchitoches, LA 71497, USA
| | - Lina Ismail
- Department of Industrial and Management Engineering, Arab Academy for Science, Technology, and Maritime Transport, Alexandria 2913, Egypt
| | - Ashraf Alhujailli
- Department of Management Science, Yanbu Industrial College, Yanbu 46452, Saudi Arabia
| | - Raul Fernandez Sumano
- Industrial Engineering Technology, Dunwoody College of Technology, Minneapolis, MN 55403, USA
| | - P A Hancock
- Department of Psychology, University of Central Florida, Orlando, FL 32816, USA
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Anjum MF, Espinoza A, Cole R, Singh A, May P, Uc E, Dasgupta S, Narayanan N. Resting-state EEG measures cognitive impairment in Parkinson's disease. RESEARCH SQUARE 2023:rs.3.rs-2666578. [PMID: 36993450 PMCID: PMC10055637 DOI: 10.21203/rs.3.rs-2666578/v1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Background Cognitive dysfunction is common in Parkinson's disease (PD) and is diagnosed by complex, time-consuming psychometric tests which are affected by language and education, subject to learning effects, and not suitable for continuous monitoring of cognition. Objectives We developed and evaluated an EEG-based biomarker to index cognitive functions in PD from a few minutes of resting-state EEG. Methods We hypothesized that synchronous changes in EEG across the power spectrum can measure cognition. We optimized a data-driven algorithm to efficiently capture these changes and index cognitive function in 100 PD and 49 control participants. We compared our EEG-based cognitive index with the Montreal cognitive assessment (MoCA) and cognitive tests across different domains from the National Institutes of Health (NIH) Toolbox using cross-validation schemes, regression models, and randomization tests. Results We observed cognition-related changes in EEG activities over multiple spectral rhythms. Utilizing only 8 best-performing EEG electrodes, our proposed index strongly correlated with cognition (rho = 0.68, p value < 0.001 with MoCA; rho ≥ 0.56, p value < 0.001 with cognitive tests from the NIH Toolbox) outperforming traditional spectral markers (rho = -0.30 - 0.37). The index showed a strong fit in regression models (R2 = 0.46) with MoCA, yielded 80% accuracy in detecting cognitive impairment, and was effective in both PD and control participants. Conclusions Our approach is computationally efficient for real-time indexing of cognition across domains, implementable even in hardware with limited computing capabilities, making it potentially compatible with dynamic therapies such as closed-loop neurostimulation, and will inform next-generation neurophysiological biomarkers for monitoring cognition in PD and other neurological diseases.
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Ott LR, Schantell M, Willett MP, Johnson HJ, Eastman JA, Okelberry HJ, Wilson TW, Taylor BK, May PE. Construct validity of the NIH toolbox cognitive domains: A comparison with conventional neuropsychological assessments. Neuropsychology 2022; 36:468-481. [PMID: 35482626 PMCID: PMC10468104 DOI: 10.1037/neu0000813] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
OBJECTIVE Previous studies have assessed the construct validity of individual subtests in the National Institutes of Health (NIH) Toolbox Cognition Battery (NIHTB-CB), though none have examined the construct validity of the cognitive domains. Importantly, the original NIHTB-CB validation studies were administered on a desktop computer, though the NIHTB-CB is now solely administered via an iPad. We examined the construct validity of each cognitive domain assessed in the NIHTB-CB, including a motor dexterity domain using the iPad application compared to a neuropsychological battery in a sample of healthy adults. METHOD Eighty-three adults aged 20-66 years (M = 44.35 ± 13.41 years) completed the NIHTB-CB and a comprehensive neuropsychological assessment. Domain scores for each of six cognitive domains (attention and executive function, episodic memory, working memory, processing speed, language, and motor dexterity) and the fluid composite were computed for both batteries. We then assessed the construct validity using Pearson correlations and intraclass correlation coefficients (ICCs) for both demographically corrected and uncorrected domains. RESULTS We found the attention and executive function, episodic memory, and processing speed domains had poor-to-adequate construct validity (ICCConsistency = -0.029 to 0.517), the working memory and motor dexterity domains and the fluid composite had poor-to-good construct validity (ICCConsistency = 0.215-0.801), and the language domain had adequate-to-good construct validity (ICCConsistency = 0.408-0.829). CONCLUSION The NIHTB-CB cognitive domains have poor-to-good construct validity, thus researchers should be aware that some tests representing cognitive constructs may not fully reflect the cognitive domain of interest. Future investigation of the construct validity and reliability of the NIHTB-CB administered using the iPad is recommended. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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Affiliation(s)
- Lauren R. Ott
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE USA
| | - Mikki Schantell
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE USA
- College of Medicine, University of Nebraska Medical Center (UNMC), Omaha, NE USA
| | - Madelyn P. Willett
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE USA
| | - Hallie J. Johnson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE USA
| | - Jacob A. Eastman
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE USA
| | - Hannah J. Okelberry
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE USA
| | - Tony W. Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE USA
- College of Medicine, University of Nebraska Medical Center (UNMC), Omaha, NE USA
| | - Brittany K. Taylor
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE USA
| | - Pamela E. May
- College of Medicine, University of Nebraska Medical Center (UNMC), Omaha, NE USA
- Department of Neurological Sciences, UNMC, Omaha, NE USA
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Par RYX, Teo CWL, Tan JJK, Ung YW, Heng KS, Hang LT, Yeo M, Yap WN. An open-label, single-arm pilot study of tocotrienols supplementation on improving memory and attention in healthy young adults. J Funct Foods 2022. [DOI: 10.1016/j.jff.2022.105055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
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Zea Vera A, Pedapati EV, Larsh TR, Kohmescher K, Miyakoshi M, Huddleston DA, Jackson HS, Gilbert DL, Horn PS, Wu SW. EEG Correlates of Active Stopping and Preparation for Stopping in Chronic Tic Disorder. Brain Sci 2022; 12:brainsci12020151. [PMID: 35203916 PMCID: PMC8870153 DOI: 10.3390/brainsci12020151] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 01/16/2022] [Accepted: 01/20/2022] [Indexed: 01/11/2023] Open
Abstract
Motor inhibition is an important cognitive process involved in tic suppression. As the right frontal lobe contains important inhibitory network nodes, we characterized right superior, middle, and inferior frontal gyral (RSFG, RMFG, RIFG) event-related oscillations during motor inhibition in youth with chronic tic disorders (CTD) versus controls. Fourteen children with CTD and 13 controls (10–17 years old) completed an anticipated-response stop signal task while dense-array electroencephalography was recorded. Between-group differences in spectral power changes (3–50 Hz) were explored after source localization and multiple comparisons correction. Two epochs within the stop signal task were studied: (1) preparatory phase early in the trial before motor execution/inhibition and (2) active inhibition phase after stop signal presentation. Correlation analyses between electrophysiologic data and clinical rating scales for tic, obsessive-compulsive symptoms, and inattention/hyperactivity were performed. There were no behavioral or electrophysiological differences during active stopping. During stop preparation, CTD participants showed greater event-related desynchronization (ERD) in the RSFG (γ-band), RMFG (β, γ-bands), and RIFG (θ, α, β, γ-bands). Higher RSFG γ-ERD correlated with lower tic severity (r = 0.66, p = 0.04). Our findings suggest RSFG γ-ERD may represent a mechanism that allows CTD patients to keep tics under control and achieve behavioral performance similar to peers.
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Affiliation(s)
- Alonso Zea Vera
- Department of Neurology, Children’s National Hospital, Washington, DC 20010, USA
- Department of Pediatrics, George Washington University School of Medicine and Health Sciences, Washington DC 20052, USA
- Correspondence: ; Tel.: +1-(202)-476-5000
| | - Ernest V. Pedapati
- Division of Child and Adolescent Psychiatry, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA;
- Department of Psychiatry, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA
| | - Travis R. Larsh
- Division of Neurology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA; (T.R.L.); (D.A.H.); (H.S.J.); (D.L.G.); (P.S.H.); (S.W.W.)
| | - Kevin Kohmescher
- College of Engineering and Applied Science, University of Cincinnati, Cincinnati, OH 45267, USA;
| | - Makoto Miyakoshi
- Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla, CA 92093, USA;
| | - David A. Huddleston
- Division of Neurology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA; (T.R.L.); (D.A.H.); (H.S.J.); (D.L.G.); (P.S.H.); (S.W.W.)
| | - Hannah S. Jackson
- Division of Neurology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA; (T.R.L.); (D.A.H.); (H.S.J.); (D.L.G.); (P.S.H.); (S.W.W.)
| | - Donald L. Gilbert
- Division of Neurology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA; (T.R.L.); (D.A.H.); (H.S.J.); (D.L.G.); (P.S.H.); (S.W.W.)
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA
| | - Paul S. Horn
- Division of Neurology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA; (T.R.L.); (D.A.H.); (H.S.J.); (D.L.G.); (P.S.H.); (S.W.W.)
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA
| | - Steve W. Wu
- Division of Neurology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA; (T.R.L.); (D.A.H.); (H.S.J.); (D.L.G.); (P.S.H.); (S.W.W.)
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA
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