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Vanbilsen N, Kotz SA, Rosso M, Leman M, Triccas LT, Feys P, Moumdjian L. Auditory attention measured by EEG in neurological populations: systematic review of literature and meta-analysis. Sci Rep 2023; 13:21064. [PMID: 38030693 PMCID: PMC10687139 DOI: 10.1038/s41598-023-47597-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 11/16/2023] [Indexed: 12/01/2023] Open
Abstract
Sensorimotor synchronization strategies have been frequently used for gait rehabilitation in different neurological populations. Despite these positive effects on gait, attentional processes required to dynamically attend to the auditory stimuli needs elaboration. Here, we investigate auditory attention in neurological populations compared to healthy controls quantified by EEG recordings. Literature was systematically searched in databases PubMed and Web of Science. Inclusion criteria were investigation of auditory attention quantified by EEG recordings in neurological populations in cross-sectional studies. In total, 35 studies were included, including participants with Parkinson's disease (PD), stroke, Traumatic Brain Injury (TBI), Multiple Sclerosis (MS), Amyotrophic Lateral Sclerosis (ALS). A meta-analysis was performed on P3 amplitude and latency separately to look at the differences between neurological populations and healthy controls in terms of P3 amplitude and latency. Overall, neurological populations showed impairments in auditory processing in terms of magnitude and delay compared to healthy controls. Consideration of individual auditory processes and thereafter selecting and/or designing the auditory structure during sensorimotor synchronization paradigms in neurological physical rehabilitation is recommended.
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Affiliation(s)
- Nele Vanbilsen
- Universitair Multiple Sclerosis Centrum (UMSC), Hasselt-Pelt, Hasselt, Belgium.
- Faculty of Rehabilitation Sciences, REVAL Rehabilitation Research Center, University of Hasselt, Agoralaan Gebouw A, 3590, Diepenbeek, Belgium.
| | - Sonja A Kotz
- Department of Neuropsychology and Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Mattia Rosso
- Faculty of Arts and Philosophy, IPEM Institute of Psychoacoustics and Electronic Music, University of Ghent, Miriam Makebaplein 1, 9000, Gent, Belgium
- Université de Lille, ULR 4072 - PSITEC - Psychologie: Interactions, Temps, Emotions, Cognition, Lille, France
| | - Marc Leman
- Faculty of Arts and Philosophy, IPEM Institute of Psychoacoustics and Electronic Music, University of Ghent, Miriam Makebaplein 1, 9000, Gent, Belgium
| | - Lisa Tedesco Triccas
- Faculty of Rehabilitation Sciences, REVAL Rehabilitation Research Center, University of Hasselt, Agoralaan Gebouw A, 3590, Diepenbeek, Belgium
- Department of Movement and Clinical Neurosciences, Institute of Neurology, University College London, 33 Queen Square, London, UK
| | - Peter Feys
- Universitair Multiple Sclerosis Centrum (UMSC), Hasselt-Pelt, Hasselt, Belgium
- Faculty of Rehabilitation Sciences, REVAL Rehabilitation Research Center, University of Hasselt, Agoralaan Gebouw A, 3590, Diepenbeek, Belgium
| | - Lousin Moumdjian
- Universitair Multiple Sclerosis Centrum (UMSC), Hasselt-Pelt, Hasselt, Belgium
- Faculty of Rehabilitation Sciences, REVAL Rehabilitation Research Center, University of Hasselt, Agoralaan Gebouw A, 3590, Diepenbeek, Belgium
- Faculty of Arts and Philosophy, IPEM Institute of Psychoacoustics and Electronic Music, University of Ghent, Miriam Makebaplein 1, 9000, Gent, Belgium
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Cai L, Tang S, Liu Y, Zhang Y, Yang Q. The application of weighted gene co-expression network analysis and support vector machine learning in the screening of Parkinson's disease biomarkers and construction of diagnostic models. Front Mol Neurosci 2023; 16:1274268. [PMID: 37908486 PMCID: PMC10614158 DOI: 10.3389/fnmol.2023.1274268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 09/29/2023] [Indexed: 11/02/2023] Open
Abstract
Background This study aims to utilize Weighted Gene Co-expression Network Analysis (WGCNA) and Support Vector Machine (SVM) algorithm for screening biomarkers and constructing a diagnostic model for Parkinson's disease. Methods Firstly, we conducted WGCNA analysis on gene expression data from Parkinson's disease patients and control group using three GEO datasets (GSE8397, GSE20163, and GSE20164) to identify gene modules associated with Parkinson's disease. Then, key genes with significantly differential expression from these gene modules were selected as candidate biomarkers and validated using the GSE7621 dataset. Further functional analysis revealed the important roles of these genes in processes such as immune regulation, inflammatory response, and cell apoptosis. Based on these findings, we constructed a diagnostic model by using the expression data of FLT1, ATP6V0E1, ATP6V0E2, and H2BC12 as inputs and training and validating the model using SVM algorithm. Results The prediction model demonstrated an AUC greater than 0.8 in the training, test, and validation sets, thereby validating its performance through SMOTE analysis. These findings provide strong support for early diagnosis of Parkinson's disease and offer new opportunities for personalized treatment and disease management. Conclusion In conclusion, the combination of WGCNA and SVM holds potential in biomarker screening and diagnostic model construction for Parkinson's disease.
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Affiliation(s)
- Lijun Cai
- Department of Pathophysiology, College of Basic Medical Sciences, Guizhou Medical University, Guiyang, Guizhou, China
- Department of Neurology, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
| | - Shuang Tang
- Department of Pathophysiology, College of Basic Medical Sciences, Guizhou Medical University, Guiyang, Guizhou, China
| | - Yin Liu
- Department of Pathophysiology, College of Basic Medical Sciences, Guizhou Medical University, Guiyang, Guizhou, China
| | - Yingwan Zhang
- Department of Pathophysiology, College of Basic Medical Sciences, Guizhou Medical University, Guiyang, Guizhou, China
| | - Qin Yang
- Department of Pathophysiology, College of Basic Medical Sciences, Guizhou Medical University, Guiyang, Guizhou, China
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Aksu S, Uslu A, İşçen P, Tülay EE, Barham H, Soyata AZ, Demirtas-Tatlidede A, Yıldız GB, Bilgiç B, Hanağası H, Woods AJ, Karamürsel S, Uyar FA. Does transcranial direct current stimulation enhance cognitive performance in Parkinson's disease mild cognitive impairment? An event-related potentials and neuropsychological assessment study. Neurol Sci 2022; 43:4029-4044. [PMID: 35322340 DOI: 10.1007/s10072-022-06020-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 03/16/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Parkinson's disease-mild cognitive impairment (PD-MCI) is garnering attention as a key interventional period for cognitive impairment. Currently, there are no approved treatments for PD-MCI and encouraging results of transcranial direct current stimulation (tDCS) combined with other interventions have been proposed, though the efficacy and neural mechanisms of tDCS alone have not been studied in PD-MCI yet. OBJECTIVES The present double-blind, randomized, sham-controlled study assessed the effects of tDCS over the dorsolateral prefrontal cortex on cognitive functions via neuropsychological and electrophysiological evaluations in individuals with PD-MCI for the first time. METHOD Twenty-six individuals with PD-MCI were administered 10 sessions of active (n = 13) or sham (n = 13) prefrontal tDCS twice a day, for 5 days. Changes were tested through a comprehensive neuropsychological battery and event-related potential recordings, which were performed before, immediately, and 1 month after the administrations. RESULTS Neuropsychological assessment showed an improvement in delayed recall and executive functions in the active group. N1 amplitudes in response to targets in the oddball test-likely indexing attention and discriminability and NoGo N2 amplitudes in the continuous performance test-likely indexing cognitive control and conflict monitoring increased in the active group. Active stimulation elicited higher benefits 1 month after the administrations. CONCLUSION The present findings substantiate the efficacy of tDCS on cognitive control and episodic memory, along with the neural underpinnings of cognitive control, highlighting its potential for therapeutic utility in PD-MCI. TRIAL REGISTRATION NCT 04,171,804. Date of registration: 21/11/2019.
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Affiliation(s)
- Serkan Aksu
- Department of Physiology, Graduate School of Health Sciences, Istanbul University, Istanbul, Turkey.
- Department of Physiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
- Department of Physiology, Faculty of Medicine, Muğla Sıtkı Koçman University, Muğla, Turkey.
| | - Atilla Uslu
- Department of Physiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Pınar İşçen
- Department of Neurology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Emine Elif Tülay
- Department of Software Engineering, Faculty of Engineering, Muğla Sıtkı Koçman University, Muğla, Turkey
| | - Huzeyfe Barham
- Department of Psychiatry, Kırklareli Research and Training Hospital, Kırklareli, Turkey
| | | | | | | | - Başar Bilgiç
- Department of Neurology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Haşmet Hanağası
- Department of Neurology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Adam J Woods
- Department of Clinical and Health Psychology, Center for Cognitive Aging and Memory, McKnight Brain Institute, Cognitive Aging and Memory Clinical Translational Research Program, University of Florida, Gainesville, USA
| | - Sacit Karamürsel
- Department of Physiology, School of Medicine, Koç University, Istanbul, Turkey
| | - Fatma Aytül Uyar
- Department of Physiology, Graduate School of Health Sciences, Istanbul University, Istanbul, Turkey
- Department of Physiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
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Lin YP, Liang HY, Chen YS, Lu CH, Wu YR, Chang YY, Lin WC. Objective assessment of impulse control disorder in patients with Parkinson's disease using a low-cost LEGO-like EEG headset: a feasibility study. J Neuroeng Rehabil 2021; 18:109. [PMID: 34215283 PMCID: PMC8252252 DOI: 10.1186/s12984-021-00897-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Accepted: 06/10/2021] [Indexed: 11/10/2022] Open
Abstract
Background Patients with Parkinson’s disease (PD) can develop impulse control disorders (ICDs) while undergoing a pharmacological treatment for motor control dysfunctions with a dopamine agonist (DA). Conventional clinical interviews or questionnaires can be biased and may not accurately diagnose at the early stage. A wearable electroencephalogram (EEG)-sensing headset paired with an examination procedure can be a potential user-friendly method to explore ICD-related signatures that can detect its early signs and progression by reflecting brain activity. Methods A stereotypical Go/NoGo test that targets impulse inhibition was performed on 59 individuals, including healthy controls, patients with PD, and patients with PD diagnosed by ICDs. We conducted two Go/NoGo sessions before and after the DA-pharmacological treatment for the PD and ICD groups. A low-cost LEGO-like EEG headset was used to record concurrent EEG signals. Then, we used the event-related potential (ERP) analytical framework to explore ICD-related EEG abnormalities after DA treatment. Results After the DA treatment, only the ICD-diagnosed PD patients made more behavioral errors and tended to exhibit the deterioration for the NoGo N2 and P3 peak amplitudes at fronto-central electrodes in contrast to the HC and PD groups. Particularly, the extent of the diminished NoGo-N2 amplitude was prone to be modulated by the ICD scores at Fz with marginal statistical significance (r = − 0.34, p = 0.07). Conclusions The low-cost LEGO-like EEG headset successfully captured ERP waveforms and objectively assessed ICD in patients with PD undergoing DA treatment. This objective neuro-evidence could provide complementary information to conventional clinical scales used to diagnose ICD adverse effects.
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Affiliation(s)
- Yuan-Pin Lin
- Institute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung, Taiwan.,Department of Electrical Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan
| | - Hsing-Yi Liang
- Institute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung, Taiwan
| | - Yueh-Sheng Chen
- Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Cheng-Hsien Lu
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital, and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Yih-Ru Wu
- Department of Neurology, Linkou Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Yung-Yee Chang
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital, and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Wei-Che Lin
- Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, and Chang Gung University College of Medicine, Kaohsiung, Taiwan. .,Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, No. 123, Dapi Road, Niaosong District, Kaohsiung City, 833, Taiwan.
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Karakaya H, Aksu S, Egi SM, Aydin S, Uslu A. Effects of Hyperbaric Nitrogen Narcosis on Cognitive Performance in Recreational air SCUBA Divers: An Auditory Event-related Brain Potentials Study. Ann Work Expo Health 2021; 65:505-515. [PMID: 33942846 DOI: 10.1093/annweh/wxaa132] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 11/21/2020] [Accepted: 12/01/2020] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The narcotic effect of hyperbaric nitrogen is most pronounced in air-breathing divers because it impairs diver's cognitive and behavioral performance, and limits the depth of dive profiles. We aimed to investigate the cognitive effects of simulated (500 kPa) air environments in recreational SCUBA divers, revealed by auditory event-related potentials (AERPs). METHODS A total of 18 healthy volunteer recreational air SCUBA divers participated in the study. AERPs were recorded in pre-dive, deep-dive, and post-dive sessions. RESULTS False-positive score variables were found with significantly higher differences and longer reaction times of hits during deep-dive and post-dive than pre-dive sessions. Also, P3 amplitudes were significantly reduced and peak latencies were prolonged during both deep-dive and post-dive compared with pre-dive sessions. CONCLUSION We observed that nitrogen narcosis at 500 kPa pressure in the dry hyperbaric chamber has a mild-to-moderate negative effect on the cognitive performance of recreational air SCUBA divers, which threatened the safety of diving. Although relatively decreased, this effect also continued in the post-dive sessions. These negative effects are especially important for divers engaged in open-sea diving. Our results show crucial implications for the kinds of control measures that can help to prevent nitrogen narcosis and diving accidents at depths up to 40 msw.
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Affiliation(s)
- Huseyin Karakaya
- Department of Underwater and Hyperbaric Medicine, Istanbul Faculty of Medicine, Istanbul University, Capa, Istanbul, Turkey
| | - Serkan Aksu
- Department of Physiology, Istanbul Faculty of Medicine, Istanbul University, Capa, Istanbul, Turkey
| | - Salih Murat Egi
- Department of Computer Engineering, Faculty of Engineering and Technology, Galatasaray University, Ortakoy, Istanbul, Turkey
| | - Salih Aydin
- Department of Underwater and Hyperbaric Medicine, Istanbul Faculty of Medicine, Istanbul University, Capa, Istanbul, Turkey
| | - Atilla Uslu
- Department of Physiology, Istanbul Faculty of Medicine, Istanbul University, Capa, Istanbul, Turkey
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