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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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Xu H, Gu L, Zhang S, Wu Y, Wei X, Wang C, Xu Y, Guo Y. N200 and P300 component changes in Parkinson’s disease: a meta-analysis. Neurol Sci 2022; 43:6719-6730. [DOI: 10.1007/s10072-022-06348-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Accepted: 08/11/2022] [Indexed: 11/28/2022]
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De Groote E, Eqlimi E, Bockstael A, Botteldooren D, Santens P, De Letter M. Parkinson's disease affects the neural alpha oscillations associated with speech-in-noise processing. Eur J Neurosci 2021; 54:7355-7376. [PMID: 34617350 DOI: 10.1111/ejn.15477] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 09/03/2021] [Accepted: 09/21/2021] [Indexed: 11/29/2022]
Abstract
Parkinson's disease (PD) has increasingly been associated with auditory dysfunction, including alterations regarding the control of auditory information processing. Although these alterations may interfere with the processing of speech in degraded listening conditions, behavioural studies have generally found preserved speech-in-noise recognition in PD. However, behavioural speech audiometry does not capture the neurophysiological mechanisms supporting speech-in-noise processing. Therefore, the aim of this study was to investigate the neural oscillatory mechanisms associated with speech-in-noise processing in PD. Twelve persons with PD and 12 age- and gender-matched healthy controls (HCs) were included in this study. Persons with PD were studied in the medication off condition. All subjects underwent an audiometric screening and performed a sentence-in-noise recognition task under simultaneous electroencephalography (EEG) recording. Behavioural speech recognition scores and self-reported ratings of effort, performance, and motivation were collected. Time-frequency analysis of EEG data revealed no significant difference between persons with PD and HCs regarding delta-theta (2-8 Hz) inter-trial phase coherence to noise and sentence onset. In contrast, significantly increased alpha (8-12 Hz) power was found in persons with PD compared with HCs during the sentence-in-noise recognition task. Behaviourally, persons with PD demonstrated significantly decreased speech recognition scores, whereas no significant differences were found regarding effort, performance, and motivation ratings. These results suggest that persons with PD allocate more cognitive resources to support speech-in-noise processing. The interpretation of this finding is discussed in the context of a top-down mediated compensation mechanism for inefficient filtering and degradation of auditory input in PD.
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Affiliation(s)
- Evelien De Groote
- Department of Rehabilitation Sciences, BrainComm Research Group, Ghent University, Ghent, Belgium
| | - Ehsan Eqlimi
- Department of Information Technology, WAVES Research Group, Ghent University, Ghent, Belgium
| | - Annelies Bockstael
- Department of Information Technology, WAVES Research Group, Ghent University, Ghent, Belgium
| | - Dick Botteldooren
- Department of Information Technology, WAVES Research Group, Ghent University, Ghent, Belgium
| | - Patrick Santens
- Department of Neurology, Ghent University Hospital, Ghent, Belgium
| | - Miet De Letter
- Department of Rehabilitation Sciences, BrainComm Research Group, Ghent University, Ghent, Belgium
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