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Liu J, Zhu Y, Cong F, Björkman A, Malesevic N, Antfolk C. Analysis of modulations of mental fatigue on intra-individual variability from single-trial event related potentials. J Neurosci Methods 2024; 406:110110. [PMID: 38499275 DOI: 10.1016/j.jneumeth.2024.110110] [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: 09/29/2023] [Revised: 01/13/2024] [Accepted: 03/15/2024] [Indexed: 03/20/2024]
Abstract
BACKGROUND Intra-individual variability (IIV), a measure of variance within an individual's performance, has been demonstrated as metrics of brain responses for neural functionality. However, how mental fatigue modulates IIV remains unclear. Consequently, the development of robust mental fatigue detection methods at the single-trial level is challenging. NEW METHODS Based on a long-duration flanker task EEG dataset, the modulations of mental fatigue on IIV were explored in terms of response time (RT) and trial-to-trial latency variations of event-related potentials (ERPs). Specifically, latency variations were quantified using residue iteration decomposition (RIDE) to reconstruct latency-corrected ERPs. We compared reconstructed ERPs with raw ERPs by means of temporal principal component analysis (PCA). Furthermore, a single-trial classification pipeline was developed to detect the changes of mental fatigue levels. RESULTS We found an increased IIV in the RT metric in the fatigue state compared to the alert state. The same sequence of ERPs (N1, P2, N2, P3a, P3b, and slow wave, or SW) was separated from both raw and reconstructed ERPs using PCA, whereas differences between raw and reconstructed ERPs in explained variances for separated ERPs were found owing to IIV. Particularly, a stronger N2 was detected in the fatigue than alert state after RIDE. The single-trial fatigue detection pipeline yielded an acceptable accuracy of 73.3%. COMPARISON WITH EXISTING METHODS The IIV has been linked to aging and brain disorders, and as an extension, our finding demonstrates IIV as an efficient indicator of mental fatigue. CONCLUSIONS This study reveals significant modulations of mental fatigue on IIV at the behavioral and neural levels and establishes a robust mental fatigue detection pipeline.
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Affiliation(s)
- Jia Liu
- Department of Biomedical Engineering, Faculty of Engineering, Lund University, Lund 22100, Sweden.
| | - Yongjie Zhu
- Department of Computer Science, University of Helsinki, Helsinki 00560, Finland
| | - Fengyu Cong
- Faculty of Information Technology, University of Jyväskylä, Jyväskylä 40014, Finland; School of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, Dalian 116024, China; School of Artificial Intelligence, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China; Key Laboratory of Integrated Circuit and Biomedical Electronic System, Liaoning Province. Dalian University of Technology, Dalian 116024, China
| | - Anders Björkman
- Department of Hand Surgery, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg and Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Nebojsa Malesevic
- Department of Biomedical Engineering, Faculty of Engineering, Lund University, Lund 22100, Sweden
| | - Christian Antfolk
- Department of Biomedical Engineering, Faculty of Engineering, Lund University, Lund 22100, Sweden
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Teixeira-Santos AC, Gomes L, Pereira DR, Ribeiro F, Silva-Fernandes A, Federspiel C, Steinmetz JP, Leist AK. The MEDITAGING study: protocol of a two-armed randomized controlled study to compare the effects of the mindfulness-based stress reduction program against a health promotion program in older migrants in Luxembourg. BMC Public Health 2023; 23:2470. [PMID: 38082350 PMCID: PMC10714656 DOI: 10.1186/s12889-023-17387-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 11/30/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND Migration is a phenomenon worldwide, with older migrants, particularly those with fewer socioeconomic resources, having an increased risk of developing adverse cognitive and health outcomes and social isolation. Therefore, it is of utmost importance to validate interventions that promote healthy aging in this population. Previous studies have shown a positive impact of mindfulness based-stress reduction (MBSR) on outcomes such as cognition and sleep. However, only a few studies verified its potential in older adults, especially with vulnerable populations such as migrants. This article presents the protocol of the MEDITAGING study, which is the first to investigate the MBSR effects in migrants aged ≥55 in comparison to a health promotion program. METHODS MEDITAGING is a two-arm randomized, double-blinded, controlled study, which will include older Portuguese-speaking migrants (n = 90). Participants are randomized to the MBSR or a health promotion program. Both interventions are conducted in groups over a total of 8 weeks, incorporating weekly meetings, an additional 4-hour class, and extra at-home tasks. The health promotion program has the same structure as the MBSR but comprises different activities related to dementia prevention, healthy habits, cognitive stimulation, sleeping, nutrition, watercolor painting, and physical activity. The assessment of executive functioning, physiological stress measures, self-reported questionnaires, and qualitative interviews are conducted at baseline, after 8 weeks (post-intervention), and at a follow-up session (from one to 3 months thereafter). Analyzes will be conducted using a modified intention-to-treat approach (all participants with at least 3 days of participation in the group-sessions and one post-intervention observation). DISCUSSION This study will test effects of a mindfulness-based intervention against an active control condition in older adult migrants, which few studies have addressed. TRIAL REGISTRATION ClinicalTrials.gov NCT05615337 (date of registration: 27 September 2022; date of record verification: 14 November 2022).
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Affiliation(s)
- Ana C Teixeira-Santos
- Department of Social Sciences, Institute for Research on Socio-Economic Inequality, University of Luxembourg, Esch-sur-Alzette, Luxembourg.
| | - Leandro Gomes
- Interdisciplinary Postgraduate Program in Human Sciences, State University of Amazonas PPGICH/UEA, Manaus, Brazil
- NAURBE Group - Cities, Popular Cultures and Heritage, Federal University of Amazonas - Postgraduate Program in Social Anthropology, Manaus, Brazil
| | - Diana R Pereira
- Human Cognition Laboratory - CIPsi, School of Psychology, University of Minho, Braga, Portugal
| | - Fabiana Ribeiro
- Department of Social Sciences, Institute for Research on Socio-Economic Inequality, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Anabela Silva-Fernandes
- Psychological Neuroscience Laboratory, CIPsi, School of Psychology, University of Minho, Braga, Portugal
| | | | | | - Anja K Leist
- Department of Social Sciences, Institute for Research on Socio-Economic Inequality, University of Luxembourg, Esch-sur-Alzette, Luxembourg
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Otani Y, Katagiri Y, Imai E, Kowa H. Action-rule-based cognitive control enables efficient execution of stimulus-response conflict tasks: a model validation of Simon task performance. Front Hum Neurosci 2023; 17:1239207. [PMID: 38034070 PMCID: PMC10687480 DOI: 10.3389/fnhum.2023.1239207] [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: 06/16/2023] [Accepted: 10/26/2023] [Indexed: 12/02/2023] Open
Abstract
Introduction The human brain can flexibly modify behavioral rules to optimize task performance (speed and accuracy) by minimizing cognitive load. To show this flexibility, we propose an action-rule-based cognitive control (ARC) model. The ARC model was based on a stochastic framework consistent with an active inference of the free energy principle, combined with schematic brain network systems regulated by the dorsal anterior cingulate cortex (dACC), to develop several hypotheses for demonstrating the validity of the ARC model. Methods A step-motion Simon task was developed involving congruence or incongruence between important symbolic information (illustration of a foot labeled "L" or "R," where "L" requests left and "R" requests right foot movement) and irrelevant spatial information (whether the illustration is actually of a left or right foot). We made predictions for behavioral and brain responses to testify to the theoretical predictions. Results Task responses combined with event-related deep-brain activity (ER-DBA) measures demonstrated a key contribution of the dACC in this process and provided evidence for the main prediction that the dACC could reduce the Shannon surprise term in the free energy formula by internally reversing the irrelevant rapid anticipatory postural adaptation. We also found sequential effects with modulated dip depths of ER-DBA waveforms that support the prediction that repeated stimuli with the same congruency can promote remodeling of the internal model through the information gain term while counterbalancing the surprise term. Discussion Overall, our results were consistent with experimental predictions, which may support the validity of the ARC model. The sequential effect accompanied by dip modulation of ER-DBA waveforms suggests that cognitive cost is saved while maintaining cognitive performance in accordance with the framework of the ARC based on 1-bit congruency-dependent selective control.
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Affiliation(s)
- Yoshitaka Otani
- Department of Rehabilitation Science, Kobe University Graduate School of Health Sciences, Kobe, Japan
- Faculty of Rehabilitation, Kobe International University, Kobe, Japan
| | - Yoshitada Katagiri
- Department of Bioengineering, School of Engineering, The University of Tokyo, Bunkyō, Japan
| | - Emiko Imai
- Department of Biophysics, Kobe University Graduate School of Health Sciences, Kobe, Japan
| | - Hisatomo Kowa
- Department of Rehabilitation Science, Kobe University Graduate School of Health Sciences, Kobe, Japan
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Strzelczyk D, Kelly SP, Langer N. Neurophysiological markers of successful learning in healthy aging. GeroScience 2023; 45:2873-2896. [PMID: 37171560 PMCID: PMC10643715 DOI: 10.1007/s11357-023-00811-8] [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: 01/16/2023] [Accepted: 04/26/2023] [Indexed: 05/13/2023] Open
Abstract
The capacity to learn and memorize is a key determinant for the quality of life but is known to decline to varying degrees with age. However, neural correlates of memory formation and the critical features that determine the extent to which aging affects learning are still not well understood. By employing a visual sequence learning task, we were able to track the behavioral and neurophysiological markers of gradual learning over several repetitions, which is not possible in traditional approaches that utilize a remember vs. forgotten comparison. On a neurophysiological level, we focused on two learning-related centro-parietal event-related potential (ERP) components: the expectancy-driven P300 and memory-related broader positivity (BP). Our results revealed that although both age groups showed significant learning progress, young individuals learned faster and remembered more stimuli than older participants. Successful learning was directly linked to a decrease of P300 and BP amplitudes. However, young participants showed larger P300 amplitudes with a sharper decrease during the learning, even after correcting for an observed age-related longer P300 latency and increased P300 peak variability. Additionally, the P300 amplitude predicted learning success in both age groups and showed good test-retest reliability. On the other hand, the memory formation processes, reflected by the BP amplitude, revealed a similar level of engagement in both age groups. However, this engagement did not translate into the same learning progress in the older participants. We suggest that the slower and more variable timing of the stimulus identification process reflected in the P300 means that despite the older participants engaging the memory formation process, there is less time for it to translate the categorical stimulus location information into a solidified memory trace. The results highlight the important role of the P300 and BP as a neurophysiological marker of learning and may enable the development of preventive measures for cognitive decline.
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Affiliation(s)
- Dawid Strzelczyk
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Andreasstrasse 15, CH-8050, Zurich, Switzerland.
- University Research Priority Program (URPP) Dynamics of Healthy Aging, Zurich, Switzerland.
- Neuroscience Center Zurich (ZNZ), Zurich, Switzerland.
| | - Simon P Kelly
- School of Electrical and Electronic Engineering and UCD Centre for Biomedical Engineering, University College Dublin, Dublin, Ireland
| | - Nicolas Langer
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Andreasstrasse 15, CH-8050, Zurich, Switzerland
- University Research Priority Program (URPP) Dynamics of Healthy Aging, Zurich, Switzerland
- Neuroscience Center Zurich (ZNZ), Zurich, Switzerland
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5
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Kim N, Jamison K, Jaywant A, Garetti J, Blunt E, RoyChoudhury A, Butler T, Dams-O'Connor K, Khedr S, Chen CC, Shetty T, Winchell R, Hill NJ, Schiff ND, Kuceyeski A, Shah SA. Comparisons of electrophysiological markers of impaired executive attention after traumatic brain injury and in healthy aging. Neuroimage 2023; 274:120126. [PMID: 37191655 PMCID: PMC10286242 DOI: 10.1016/j.neuroimage.2023.120126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 04/10/2023] [Accepted: 04/19/2023] [Indexed: 05/17/2023] Open
Abstract
Executive attention impairments are a persistent and debilitating consequence of traumatic brain injury (TBI). To make headway towards treating and predicting outcomes following heterogeneous TBI, cognitive impairment specific pathophysiology first needs to be characterized. In a prospective observational study, we measured EEG during the attention network test aimed at detecting alerting, orienting, executive attention and processing speed. The sample (N = 110) of subjects aged 18-86 included those with and without traumatic brain injury: n = 27, complicated mild TBI; n = 5, moderate TBI; n = 10, severe TBI; n = 63, non-brain-injured controls. Subjects with TBI had impairments in processing speed and executive attention. Electrophysiological markers of executive attention processing in the midline frontal regions reveal that, as a group, those with TBI and elderly non-brain-injured controls have reduced responses. We also note that those with TBI and elderly controls have responses that are similar for both low and high-demand trials. In subjects with moderate-severe TBI, reductions in frontal cortical activation and performance profiles are both similar to that of controls who are ∼4 to 7 years older. Our specific observations of frontal response reductions in subjects with TBI and in older adults is consistent with the suggested role of the anterior forebrain mesocircuit as underlying cognitive impairments. Our results provide novel correlative data linking specific pathophysiological mechanisms underlying domain-specific cognitive deficits following TBI and with normal aging. Collectively, our findings provide biomarkers that may serve to track therapeutic interventions and guide development of targeted therapeutics following brain injuries.
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Affiliation(s)
- Nayoung Kim
- Department of Radiology, Weill Cornell Medicine, New York, NY 10065, United States
| | - Keith Jamison
- Department of Radiology, Weill Cornell Medicine, New York, NY 10065, United States
| | - Abhishek Jaywant
- Department of Psychiatry, Weill Cornell Medicine, New York, NY 10065, United States; Department of Rehabilitation Medicine, Weill Cornell Medicine, New York, NY 10065, United States; NewYork-Presbyterian Hospital, New York, NY 10065, United States
| | - Jacob Garetti
- Department of Radiology, Weill Cornell Medicine, New York, NY 10065, United States
| | - Emily Blunt
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States
| | - Arindam RoyChoudhury
- Division of Biostatistics, Department of Population Health Sciences, Weill Cornell Medicine, New York, NY 10065, United States
| | - Tracy Butler
- Department of Radiology, Weill Cornell Medicine, New York, NY 10065, United States
| | - Kristen Dams-O'Connor
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States; Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States
| | - Shahenda Khedr
- Department of Surgery, NewYork-Presbyterian Queens Hospital, Queens, NY 11355, United States
| | - Chun-Cheng Chen
- Department of Surgery, NewYork-Presbyterian Queens Hospital, Queens, NY 11355, United States; Department of Surgery, Weill Cornell Medicine, New York, NY 10065, United States
| | - Teena Shetty
- Department of Neurology, Hospital for Special Surgery, New York, NY, 10021 United States
| | - Robert Winchell
- Department of Surgery, Weill Cornell Medicine, New York, NY 10065, United States
| | - N Jeremy Hill
- National Center for Adaptive Neurotechnologies, Stratton VA Medical Center, Albany, NY 12208, United States; Electrical & Computer Engineering Department, State University of New York at Albany, NY 12226, United States
| | - Nicholas D Schiff
- Department of BMRI & Neurology, Weill Cornell Medicine, New York, NY 10065, United States
| | - Amy Kuceyeski
- Department of Radiology, Weill Cornell Medicine, New York, NY 10065, United States
| | - Sudhin A Shah
- Department of Radiology, Weill Cornell Medicine, New York, NY 10065, United States; Department of BMRI & Neurology, Weill Cornell Medicine, New York, NY 10065, United States.
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Kamp SM, Forester G, Knopf L. Reliability and stability of oddball P300 amplitude in older adults: The role of stimulus sequence effects. Brain Cogn 2023; 169:105998. [PMID: 37210788 DOI: 10.1016/j.bandc.2023.105998] [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: 03/14/2023] [Revised: 05/09/2023] [Accepted: 05/10/2023] [Indexed: 05/23/2023]
Abstract
The P300 may be an individual difference marker of neuro-cognitive function, which due to age-related cognitive decline may be particularly useful in older adults. Recently, we reported effects of the local stimulus sequence in an oddball task (i.e., the number of non-targets that preceded a target) on P300 amplitude in young and older adults. The same older adults completed a second session of the task 4-8 months after the first session. Here, we examined the effect of the stimulus sequence on the between- and within-session reliability and stability of P300 amplitude and RT, and their intertrial variability, in this sample of older adults. The sequence effects - an inverted U-shape effect of the number of standards preceding a target on parietal P300, and a linear effect on frontal P300 - were stable within and across sessions on the group level. Within individuals, P300 amplitude at frontal and parietal electrodes was generally very reliable and stable, mostly independently of sequence effects, encouraging its use as an individual difference marker of neuro-cognitive function in older adults. However, measures of the strength of the sequence effects themselves showed unacceptable reliability, speaking against their use as individual difference markers, at least in older adults.
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Affiliation(s)
| | - Glen Forester
- Center for Biobehavioral Research, Sanford Research, Fargo, ND, United States
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7
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Tschentscher N, Sauseng P. Spatio-Temporal Brain Dynamic Differences in Fluid Intelligence. Front Hum Neurosci 2022; 16:820780. [PMID: 35308612 PMCID: PMC8928101 DOI: 10.3389/fnhum.2022.820780] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 01/24/2022] [Indexed: 11/13/2022] Open
Abstract
Human fluid intelligence is closely linked to the sequential solving of complex problems. It has been associated with a distributed cognitive control or multiple-demand (MD) network, comprising regions of lateral frontal, insular, dorsomedial frontal, and parietal cortex. Previous neuroimaging research suggests that the MD network may orchestrate the allocation of attentional resources to individual parts of a complex task: in a complex target detection task with multiple independent rules, applied one at a time, reduced response to rule-critical events across the MD network in lower fluid intelligence was observed. This was in particular the case with increasing task complexity (i.e., larger sets of rules), and was accompanied by impairment in performance. Here, we examined the early spatiotemporal neural dynamics of this process in electroencephalography (EEG) source analyses using a similar task paradigm. Levels of fluid intelligence specifically predicted early neural responses in a left inferiorparietal MD region around 200-300 ms post stimulus onset. Evoked source amplitudes in left parietal cortex within this early time window also correlated with behavioural performance measures. Like in previous research, we observed impaired performance in lower fluid intelligence with increasing number of task rules. This links fluid intelligence to a process of attentional focus on those parts of a task that are most critical for the current behaviour. Within the MD system, our time re-resolved measures suggest that the left parietal cortex specifically impacts on early processes of attentional focus on task critical features. This is novel evidence on the neurocognitive correlates of fluid intelligence suggesting that individual differences are critically linked to an early process of attentional focus on task-relevant information, which is supported by left parietal MD regions.
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Affiliation(s)
- Nadja Tschentscher
- Research Unit Biological Psychology, Department of Psychology, Ludwig Maximilian University Munich, Munich, Germany
- Research Unit Clinical Psychology, Department of Psychiatry and Psychotherapy, Ludwig Maximilian University Munich, Munich, Germany
| | - Paul Sauseng
- Research Unit Biological Psychology, Department of Psychology, Ludwig Maximilian University Munich, Munich, Germany
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Xu J, Zhou L, Liu F, Xue C, Jiang J, Jiang C. The autistic brain can process local but not global emotion regularities in facial and musical sequences. Autism Res 2021; 15:222-240. [PMID: 34792299 DOI: 10.1002/aur.2635] [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: 05/27/2021] [Revised: 10/31/2021] [Accepted: 11/01/2021] [Indexed: 11/05/2022]
Abstract
Whether autism spectrum disorder (ASD) is associated with a global processing deficit remains controversial. Global integration requires extraction of regularity across various timescales, yet little is known about how individuals with ASD process regularity at local (short timescale) versus global (long timescale) levels. To this end, we used event-related potentials to investigate whether individuals with ASD would show different neural responses to local (within trial) versus global (across trials) emotion regularities extracted from sequential facial expressions; and if so, whether this visual abnormality would generalize to the music (auditory) domain. Twenty individuals with ASD and 21 age- and IQ-matched individuals with typical development participated in this study. At an early processing stage, ASD participants exhibited preserved neural responses to violations of local emotion regularity for both faces and music. At a later stage, however, there was an absence of neural responses in ASD to violations of global emotion regularity for both faces and music. These findings suggest that the autistic brain responses to emotion regularity are modulated by the timescale of sequential stimuli, and provide insight into the neural mechanisms underlying emotional processing in ASD.
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Affiliation(s)
- Jie Xu
- Department of Psychology, Shanghai Normal University, Shanghai, China
| | - Linshu Zhou
- Music College, Shanghai Normal University, Shanghai, China
| | - Fang Liu
- School of Psychology and Clinical Language Sciences, University of Reading, Reading, UK
| | - Chao Xue
- Department of Psychology, Shanghai Normal University, Shanghai, China
| | - Jun Jiang
- Music College, Shanghai Normal University, Shanghai, China
| | - Cunmei Jiang
- Music College, Shanghai Normal University, Shanghai, China
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Silkes JP, Anjum J. The role and use of event-related potentials in aphasia: A scoping review. BRAIN AND LANGUAGE 2021; 219:104966. [PMID: 34044294 DOI: 10.1016/j.bandl.2021.104966] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 04/30/2021] [Accepted: 05/04/2021] [Indexed: 06/12/2023]
Abstract
Event-related potentials (ERPs) can provide important insights into underlying language processes in both unimpaired and neurologically impaired populations and may be particularly useful in aphasia. This scoping review was conducted to provide a comprehensive summary of how ERPs have been used with people with aphasia (PWA), with the goal of exploring the potential clinical application of ERPs in aphasia assessment and treatment. We identified 117 studies that met inclusionary criteria, reflecting six thematic domains of inquiry that relate to understanding both unimpaired and aphasic language processing and the use of ERPs with PWA. In these studies, a wide variety of ERP components were reported. Inconsistencies in reporting of participant characteristics and study protocols limit our ability to generalize beyond the individual studies and understand implications for clinical applicability. We discuss the potential roles of ERPs in aphasia management and make recommendations for further developing ERPs for clinical utility in PWA.
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Affiliation(s)
- JoAnn P Silkes
- School of Speech, Language, and Hearing Sciences, San Diego State University, 5500 Campanile Rd, SLHS-1518, San Diego, CA 92182-1518, USA.
| | - Javad Anjum
- Speech-Language Pathology, Saint Gianna School of Health Sciences, University of Mary, 7500 University Dr. Bismarck, ND 58504, USA.
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Wang S, Lin M, Sun L, Chen X, Fu X, Yan L, Li C, Zhang X. Neural Mechanisms of Hearing Recovery for Cochlear-Implanted Patients: An Electroencephalogram Follow-Up Study. Front Neurosci 2021; 14:624484. [PMID: 33633529 PMCID: PMC7901906 DOI: 10.3389/fnins.2020.624484] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Accepted: 12/22/2020] [Indexed: 12/11/2022] Open
Abstract
Background Patients with severe profound hearing loss could benefit from cochlear implantation (CI). However, the neural mechanism of such benefit is still unclear. Therefore, we analyzed the electroencephalogram (EEG) and behavioral indicators of auditory function remodeling in patients with CI. Both indicators were sampled at multiple time points after implantation (1, 90, and 180 days). Methods First, the speech perception ability was evaluated with the recording of a list of Chinese words and sentences in 15 healthy controls (HC group) and 10 patients with CI (CI group). EEG data were collected using an oddball paradigm. Then, the characteristics of event-related potentials (ERPs) and mismatch negative (MMN) were compared between the CI group and the HC group. In addition, we analyzed the phase lag indices (PLI) in the CI group and the HC group and calculated the difference in functional connectivity between the two groups at different stages after implantation. Results The behavioral indicator, speech recognition ability, in CI patients improved as the implantation time increased. The MMN analysis showed that CI patients could recognize the difference between standard and deviation stimuli just like the HCs 90 days after cochlear implantation. Comparing the latencies of N1/P2/MMN between the CI group and the HC group, we found that the latency of N1/P2 in CI patients was longer, while the latency of MMN in CI users was shorter. In addition, PLI-based whole-brain functional connectivity (PLI-FC) showed that the difference between the CI group and the HC group mainly exists in electrode pairs between the bilateral auditory area and the frontal area. Furthermore, all those differences gradually decreased with the increase in implantation time. Conclusion The N1 amplitude, N1/P2/MMN latency, and PLI-FC in the alpha band may reflect the process of auditory function remodeling and could be an objective index for the assessment of speech perception ability and the effect of cochlear implantation.
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Affiliation(s)
- Songjian Wang
- School of Biomedical Engineering, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, Capital Medical University, Beijing, China
| | - Meng Lin
- School of Biomedical Engineering, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, Capital Medical University, Beijing, China
| | - Liwei Sun
- School of Biomedical Engineering, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, Capital Medical University, Beijing, China
| | - Xueqing Chen
- Key Laboratory of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Beijing Institute of Otolaryngology, Ministry of Education, Beijing, China
| | - Xinxing Fu
- Key Laboratory of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Beijing Institute of Otolaryngology, Ministry of Education, Beijing, China
| | - LiLi Yan
- Key Laboratory of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Beijing Institute of Otolaryngology, Ministry of Education, Beijing, China
| | - Chunlin Li
- School of Biomedical Engineering, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, Capital Medical University, Beijing, China
| | - Xu Zhang
- School of Biomedical Engineering, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, Capital Medical University, Beijing, China
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