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Inguscio BMS, Cartocci G, Sciaraffa N, Nicastri M, Giallini I, Greco A, Babiloni F, Mancini P. Gamma-Band Modulation in Parietal Area as the Electroencephalographic Signature for Performance in Auditory-Verbal Working Memory: An Exploratory Pilot Study in Hearing and Unilateral Cochlear Implant Children. Brain Sci 2022; 12:1291. [PMID: 36291225 PMCID: PMC9599211 DOI: 10.3390/brainsci12101291] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 09/20/2022] [Accepted: 09/21/2022] [Indexed: 07/30/2023] Open
Abstract
This pilot study investigates the neurophysiological patterns of visual and auditory verbal working memory (VWM) in unilateral cochlear implant users (UCIs). We compared the task-related electroencephalogram (EEG) power spectral density of 7- to 13-year-old UCIs (n = 7) with a hearing control group (HC, n = 10) during the execution of a three-level n-back task with auditory and visual verbal (letters) stimuli. Performances improved as memory load decreased regardless of sensory modality (SM) and group factors. Theta EEG activation over the frontal area was proportionally influenced by task level; the left hemisphere (LH) showed greater activation in the gamma band, suggesting lateralization of VWM function regardless of SM. However, HCs showed stronger activation patterns in the LH than UCIs regardless of SM and in the parietal area (PA) during the most challenging audio condition. Linear regressions for gamma activation in the PA suggest the presence of a pattern-supporting auditory VWM only in HCs. Our findings seem to recognize gamma activation in the PA as the signature of effective auditory VWM. These results, although preliminary, highlight this EEG pattern as a possible cause of the variability found in VWM outcomes in deaf children, opening up new possibilities for interdisciplinary research and rehabilitation intervention.
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Affiliation(s)
- Bianca Maria Serena Inguscio
- Department of Sense Organs, Sapienza University of Rome, Viale dell’Università 31, 00161 Rome, Italy
- BrainSigns Srl, Lungotevere Michelangelo, 9, 00192 Rome, Italy
- Department of Human Neuroscience, Sapienza University of Rome, Viale dell’Università 30, 00161 Rome, Italy
| | - Giulia Cartocci
- BrainSigns Srl, Lungotevere Michelangelo, 9, 00192 Rome, Italy
- Department of Molecular Medicine, Sapienza University of Rome, Viale Regina Elena 291, 00161 Rome, Italy
| | | | - Maria Nicastri
- Department of Sense Organs, Sapienza University of Rome, Viale dell’Università 31, 00161 Rome, Italy
| | - Ilaria Giallini
- Department of Sense Organs, Sapienza University of Rome, Viale dell’Università 31, 00161 Rome, Italy
| | - Antonio Greco
- Department of Sense Organs, Sapienza University of Rome, Viale dell’Università 31, 00161 Rome, Italy
| | - Fabio Babiloni
- BrainSigns Srl, Lungotevere Michelangelo, 9, 00192 Rome, Italy
- Department of Molecular Medicine, Sapienza University of Rome, Viale Regina Elena 291, 00161 Rome, Italy
- Department of Computer Science, Hangzhou Dianzi University, Xiasha Higher Education Zone, Hangzhou 310018, China
| | - Patrizia Mancini
- Department of Sense Organs, Sapienza University of Rome, Viale dell’Università 31, 00161 Rome, Italy
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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: 1.0] [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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Di Flumeri G, Aricò P, Borghini G, Sciaraffa N, Di Florio A, Babiloni F. The Dry Revolution: Evaluation of Three Different EEG Dry Electrode Types in Terms of Signal Spectral Features, Mental States Classification and Usability. SENSORS 2019; 19:s19061365. [PMID: 30893791 PMCID: PMC6470960 DOI: 10.3390/s19061365] [Citation(s) in RCA: 73] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Revised: 02/27/2019] [Accepted: 03/14/2019] [Indexed: 11/16/2022]
Abstract
One century after the first recording of human electroencephalographic (EEG) signals, EEG has become one of the most used neuroimaging techniques. The medical devices industry is now able to produce small and reliable EEG systems, enabling a wide variety of applications also with no-clinical aims, providing a powerful tool to neuroscientific research. However, these systems still suffer from a critical limitation, consisting in the use of wet electrodes, that are uncomfortable and require expertise to install and time from the user. In this context, dozens of different concepts of EEG dry electrodes have been recently developed, and there is the common opinion that they are reaching traditional wet electrodes quality standards. However, although many papers have tried to validate them in terms of signal quality and usability, a comprehensive comparison of different dry electrode types from multiple points of view is still missing. The present work proposes a comparison of three different dry electrode types, selected among the main solutions at present, against wet electrodes, taking into account several aspects, both in terms of signal quality and usability. In particular, the three types consisted in gold-coated single pin, multiple pins and solid-gel electrodes. The results confirmed the great standards achieved by dry electrode industry, since it was possible to obtain results comparable to wet electrodes in terms of signals spectra and mental states classification, but at the same time drastically reducing the time of montage and enhancing the comfort. In particular, multiple-pins and solid-gel electrodes overcome gold-coated single-pin-based ones in terms of comfort.
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Affiliation(s)
- Gianluca Di Flumeri
- Department of Molecular Medicine, Sapienza University of Rome, Piazzale Aldo Moro, 5, 00185 Rome, Italy.
- BrainSigns srl, via Sesto Celere, 00152 Rome, Italy.
| | - Pietro Aricò
- Department of Molecular Medicine, Sapienza University of Rome, Piazzale Aldo Moro, 5, 00185 Rome, Italy.
- BrainSigns srl, via Sesto Celere, 00152 Rome, Italy.
- IRCCS Fondazione Santa Lucia, Neuroelectrical Imaging and BCI Lab, Via Ardeatina, 306, 00179 Rome, Italy.
| | - Gianluca Borghini
- Department of Molecular Medicine, Sapienza University of Rome, Piazzale Aldo Moro, 5, 00185 Rome, Italy.
- BrainSigns srl, via Sesto Celere, 00152 Rome, Italy.
- IRCCS Fondazione Santa Lucia, Neuroelectrical Imaging and BCI Lab, Via Ardeatina, 306, 00179 Rome, Italy.
| | - Nicolina Sciaraffa
- BrainSigns srl, via Sesto Celere, 00152 Rome, Italy.
- Department Anatomical, Histological, Forensic & Orthopedic Sciences, Sapienza University of Rome, Piazzale Aldo Moro, 5, 00185 Rome, Italy.
| | | | - Fabio Babiloni
- Department of Molecular Medicine, Sapienza University of Rome, Piazzale Aldo Moro, 5, 00185 Rome, Italy.
- BrainSigns srl, via Sesto Celere, 00152 Rome, Italy.
- College of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310005, China.
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