1
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Muñoz-Caracuel M, Muñoz V, Ruiz-Martínez FJ, Vázquez Morejón AJ, Gómez CM. Systemic neurophysiological signals of auditory predictive coding. Psychophysiology 2024; 61:e14544. [PMID: 38351668 DOI: 10.1111/psyp.14544] [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: 08/14/2023] [Revised: 01/03/2024] [Accepted: 02/02/2024] [Indexed: 05/16/2024]
Abstract
Predictive coding framework posits that our brain continuously monitors changes in the environment and updates its predictive models, minimizing prediction errors to efficiently adapt to environmental demands. However, the underlying neurophysiological mechanisms of these predictive phenomena remain unclear. The present study aimed to explore the systemic neurophysiological correlates of predictive coding processes during passive and active auditory processing. Electroencephalography (EEG), functional near-infrared spectroscopy (fNIRS), and autonomic nervous system (ANS) measures were analyzed using an auditory pattern-based novelty oddball paradigm. A sample of 32 healthy subjects was recruited. The results showed shared slow evoked potentials between passive and active conditions that could be interpreted as automatic predictive processes of anticipation and updating, independent of conscious attentional effort. A dissociated topography of the cortical hemodynamic activity and distinctive evoked potentials upon auditory pattern violation were also found between both conditions, whereas only conscious perception leading to imperative responses was accompanied by phasic ANS responses. These results suggest a systemic-level hierarchical reallocation of predictive coding neural resources as a function of contextual demands in the face of sensory stimulation. Principal component analysis permitted to associate the variability of some of the recorded signals.
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Affiliation(s)
- Manuel Muñoz-Caracuel
- Department of Experimental Psychology, University of Seville, Seville, Spain
- Mental Health Unit, Hospital Universitario Virgen del Rocio, Seville, Spain
| | - Vanesa Muñoz
- Department of Experimental Psychology, University of Seville, Seville, Spain
| | | | - Antonio J Vázquez Morejón
- Mental Health Unit, Hospital Universitario Virgen del Rocio, Seville, Spain
- Department of Personality, Evaluation and Psychological Treatments, University of Seville, Seville, Spain
| | - Carlos M Gómez
- Department of Experimental Psychology, University of Seville, Seville, Spain
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2
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Pelentritou A, Pfeiffer C, Schwartz S, De Lucia M. Cardio-audio synchronization elicits neural and cardiac surprise responses in human wakefulness and sleep. Commun Biol 2024; 7:226. [PMID: 38396068 PMCID: PMC10891147 DOI: 10.1038/s42003-024-05895-2] [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: 08/02/2023] [Accepted: 02/07/2024] [Indexed: 02/25/2024] Open
Abstract
The human brain can encode auditory regularities with fixed sound-to-sound intervals and with sound onsets locked to cardiac inputs. Here, we investigated auditory and cardio-audio regularity encoding during sleep, when bodily and environmental stimulus processing may be altered. Using electroencephalography and electrocardiography in healthy volunteers (N = 26) during wakefulness and sleep, we measured the response to unexpected sound omissions within three regularity conditions: synchronous, where sound and heartbeat are temporally coupled, isochronous, with fixed sound-to-sound intervals, and a control condition without regularity. Cardio-audio regularity encoding manifested as a heartbeat deceleration upon omissions across vigilance states. The synchronous and isochronous sequences induced a modulation of the omission-evoked neural response in wakefulness and N2 sleep, the former accompanied by background oscillatory activity reorganization. The violation of cardio-audio and auditory regularity elicits cardiac and neural responses across vigilance states, laying the ground for similar investigations in altered consciousness states such as coma and anaesthesia.
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Affiliation(s)
- Andria Pelentritou
- Laboratoire de Recherche en Neuroimagerie (LREN), Lausanne University Hospital and University of Lausanne, 1011, Lausanne, Switzerland.
| | - Christian Pfeiffer
- Robotics and Perception Group, University of Zurich, 8050, Zurich, Switzerland
| | - Sophie Schwartz
- Department of Neuroscience, Faculty of Medicine, University of Geneva, 1211, Geneva, Switzerland
- Swiss Center for Affective Sciences, University of Geneva, 1202, Geneva, Switzerland
| | - Marzia De Lucia
- Laboratoire de Recherche en Neuroimagerie (LREN), Lausanne University Hospital and University of Lausanne, 1011, Lausanne, Switzerland.
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3
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Zhao C, Bao Y. Hemispheric asymmetry of auditory oddball detection: An MEG study. Psych J 2023; 12:749-751. [PMID: 37807896 DOI: 10.1002/pchj.684] [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: 05/17/2022] [Accepted: 08/01/2023] [Indexed: 10/10/2023]
Abstract
The capacity of the human brain to detect unattended deviant information from frequent information in our environment shows a hemispheric asymmetry, with stronger brain activation in the right temporal area. This lateralization is distinct from the functional left-ward asymmetry of auditory information processing.
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Affiliation(s)
- Chen Zhao
- School of Psychological and Cognitive Sciences, Peking University, Beijing, China
- Institute of Medical Psychology, Ludwig-Maximilian University, Munich, Germany
| | - Yan Bao
- School of Psychological and Cognitive Sciences, Peking University, Beijing, China
- Institute of Medical Psychology, Ludwig-Maximilian University, Munich, Germany
- Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China
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4
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Herrera-Diaz A, Boshra R, Tavakoli P, Lin CYA, Pajankar N, Bagheri E, Kolesar R, Fox-Robichaud A, Hamielec C, Reilly JP, Connolly JF. Tracking auditory mismatch negativity responses during full conscious state and coma. Front Neurol 2023; 14:1111691. [PMID: 36970526 PMCID: PMC10036371 DOI: 10.3389/fneur.2023.1111691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 02/21/2023] [Indexed: 03/12/2023] Open
Abstract
The mismatch negativity (MMN) is considered the electrophysiological change-detection response of the brain, and therefore a valuable clinical tool for monitoring functional changes associated with return to consciousness after severe brain injury. Using an auditory multi-deviant oddball paradigm, we tracked auditory MMN responses in seventeen healthy controls over a 12-h period, and in three comatose patients assessed over 24 h at two time points. We investigated whether the MMN responses show fluctuations in detectability over time in full conscious awareness, or whether such fluctuations are rather a feature of coma. Three methods of analysis were utilized to determine whether the MMN and subsequent event-related potential (ERP) components could be identified: traditional visual analysis, permutation t-test, and Bayesian analysis. The results showed that the MMN responses elicited to the duration deviant-stimuli are elicited and reliably detected over the course of several hours in healthy controls, at both group and single-subject levels. Preliminary findings in three comatose patients provide further evidence that the MMN is often present in coma, varying within a single patient from easily detectable to undetectable at different times. This highlights the fact that regular and repeated assessments are extremely important when using MMN as a neurophysiological predictor of coma emergence.
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Affiliation(s)
- Adianes Herrera-Diaz
- Centre for Advanced Research in Experimental and Applied Linguistics (ARiEAL), McMaster University, Hamilton, ON, Canada
- Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada
- *Correspondence: Adianes Herrera-Diaz
| | - Rober Boshra
- Princenton Neuroscience Institute, Princeton University, Princeton, NJ, United States
| | - Paniz Tavakoli
- Centre for Advanced Research in Experimental and Applied Linguistics (ARiEAL), McMaster University, Hamilton, ON, Canada
| | - Chia-Yu A. Lin
- Centre for Advanced Research in Experimental and Applied Linguistics (ARiEAL), McMaster University, Hamilton, ON, Canada
| | - Netri Pajankar
- Centre for Advanced Research in Experimental and Applied Linguistics (ARiEAL), McMaster University, Hamilton, ON, Canada
- Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada
| | - Elham Bagheri
- Centre for Advanced Research in Experimental and Applied Linguistics (ARiEAL), McMaster University, Hamilton, ON, Canada
- School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada
| | - Richard Kolesar
- Department of Anesthesia, McMaster University, Hamilton, ON, Canada
| | - Alison Fox-Robichaud
- Department of Medicine, McMaster University, Hamilton, ON, Canada
- Critical Care Medicine, Hamilton Health Sciences, Hamilton, ON, Canada
| | - Cindy Hamielec
- Department of Medicine, McMaster University, Hamilton, ON, Canada
- Critical Care Medicine, Hamilton Health Sciences, Hamilton, ON, Canada
| | - James P. Reilly
- Centre for Advanced Research in Experimental and Applied Linguistics (ARiEAL), McMaster University, Hamilton, ON, Canada
- School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada
| | - John F. Connolly
- Centre for Advanced Research in Experimental and Applied Linguistics (ARiEAL), McMaster University, Hamilton, ON, Canada
- Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada
- School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada
- Department of Anesthesia, McMaster University, Hamilton, ON, Canada
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada
- VoxNeuro, Inc., Toronto, ON, Canada
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5
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Evidence for predictions established by phantom sound. Neuroimage 2022; 264:119766. [PMID: 36435344 DOI: 10.1016/j.neuroimage.2022.119766] [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: 03/10/2022] [Revised: 08/24/2022] [Accepted: 11/22/2022] [Indexed: 11/24/2022] Open
Abstract
Predictions, the bridge between the internal and external worlds, are established by prior experience and updated by sensory stimuli. Responses to omitted but unexpected stimuli, known as omission responses, can break the one-to-one mapping of stimulus-response and can expose predictions established by the preceding stimulus built up. While research into exogenous predictions (driven by external stimuli) is often reported, that into endogenous predictions (driven by internal percepts) is rarely available in the literature. Here, we report evidence for endogenous predictions established by the Zwicker tone illusion, a phantom pure-tone-like auditory percept following notch noises. We found that MMN, P300, and theta oscillations could be recorded using an omission paradigm in subjects who can perceive Zwicker tone illusions, but could not in those who cannot. The MMN and P300 responses relied on attention, but theta oscillations did not. In-depth analysis shows that an increase in single-trial theta power, including total and induced theta, with the endogenous prediction, is lateralized to the left frontal brain areas. Our study depicts that the brain automatically analyzes internal perception, progressively establishes predictions and yields prediction errors in the left frontal region when a violation occurs.
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6
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Hansen NC, Højlund A, Møller C, Pearce M, Vuust P. Musicians show more integrated neural processing of contextually relevant acoustic features. Front Neurosci 2022; 16:907540. [PMID: 36312026 PMCID: PMC9612920 DOI: 10.3389/fnins.2022.907540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 09/08/2022] [Indexed: 12/04/2022] Open
Abstract
Little is known about expertise-related plasticity of neural mechanisms for auditory feature integration. Here, we contrast two diverging hypotheses that musical expertise is associated with more independent or more integrated predictive processing of acoustic features relevant to melody perception. Mismatch negativity (MMNm) was recorded with magnetoencephalography (MEG) from 25 musicians and 25 non-musicians, exposed to interleaved blocks of a complex, melody-like multi-feature paradigm and a simple, oddball control paradigm. In addition to single deviants differing in frequency (F), intensity (I), or perceived location (L), double and triple deviants were included reflecting all possible feature combinations (FI, IL, LF, FIL). Following previous work, early neural processing overlap was approximated in terms of MMNm additivity by comparing empirical MMNms obtained with double and triple deviants to modeled MMNms corresponding to summed constituent single-deviant MMNms. Significantly greater subadditivity was found in musicians compared to non-musicians, specifically for frequency-related deviants in complex, melody-like stimuli. Despite using identical sounds, expertise effects were absent from the simple oddball paradigm. This novel finding supports the integrated processing hypothesis whereby musicians recruit overlapping neural resources facilitating more integrative representations of contextually relevant stimuli such as frequency (perceived as pitch) during melody perception. More generally, these specialized refinements in predictive processing may enable experts to optimally capitalize upon complex, domain-relevant, acoustic cues.
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Affiliation(s)
- Niels Chr. Hansen
- Aarhus Institute of Advanced Studies, Aarhus University, Aarhus, Denmark
- Department of Clinical Medicine, Center for Music in the Brain, Aarhus University, Royal Academy of Music Aarhus/Aalborg, Aarhus, Denmark
- Department of Dramaturgy and Musicology, School of Communication and Culture, Aarhus University, Aarhus, Denmark
- *Correspondence: Niels Chr. Hansen,
| | - Andreas Højlund
- Department of Linguistics, Cognitive Science, and Semiotics, School of Communication and Culture, Aarhus University, Aarhus, Denmark
- Department of Clinical Medicine, Faculty of Health, Center of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark
| | - Cecilie Møller
- Department of Clinical Medicine, Center for Music in the Brain, Aarhus University, Royal Academy of Music Aarhus/Aalborg, Aarhus, Denmark
- Department of Psychology and Behavioural Sciences, Aarhus University, Aarhus, Denmark
| | - Marcus Pearce
- Department of Clinical Medicine, Center for Music in the Brain, Aarhus University, Royal Academy of Music Aarhus/Aalborg, Aarhus, Denmark
- School of Electronic Engineering and Computer Science, Cognitive Science Research Group and Centre for Digital Music, Queen Mary University of London, London, United Kingdom
| | - Peter Vuust
- Department of Clinical Medicine, Center for Music in the Brain, Aarhus University, Royal Academy of Music Aarhus/Aalborg, Aarhus, Denmark
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7
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Tsang YK, Zou Y. An ERP megastudy of Chinese word recognition. Psychophysiology 2022; 59:e14111. [PMID: 35609148 DOI: 10.1111/psyp.14111] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 04/11/2022] [Accepted: 05/04/2022] [Indexed: 12/01/2022]
Abstract
This article reports the first ERP (event-related potential) megastudy in traditional Chinese word recognition. Fifty-one native Chinese undergraduates in Hong Kong, who were native Cantonese speakers, provided ERP data to 1020 two-character words and 204 two-character pseudowords in a go/no-go lexical decision task (go trials: pseudowords). The item list and the ERP data were compiled into a database called "E-MELD" (ERP MEgastudy of Lexical Decision). To illustrate how E-MELD can be utilized in research of traditional Chinese word recognition, a series of linear mixed-effects (LME) models were conducted to examine how properties at word (contextual diversity, number of strokes, and concreteness) and character (contextual diversity, number of homophones, and semantic transparency ratings) levels influenced the ERP amplitudes in different time windows. The results showed that in all time windows, both word and character variables influenced the amplitudes of ERP signals, which argued against the proposal that Chinese two-character words are recognized holistically. At the same time, there was no evidence that character effects preceded word effects (i.e., no evidence of character-mediated word recognition). Overall, the pattern suggests that characters and words are accessed simultaneously in Chinese word recognition. E-MELD is made available online, such that interested researchers can download it and use the data innovatively for their research purpose.
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Affiliation(s)
- Yiu-Kei Tsang
- Department of Education Studies, Hong Kong Baptist University, Kowloon, Hong Kong.,Centre for Learning Sciences, Hong Kong Baptist University, Kowloon, Hong Kong
| | - Yun Zou
- Department of Education Studies, Hong Kong Baptist University, Kowloon, Hong Kong.,Department of Psychological and Brain Sciences, University of Massachusetts Amherst, Amherst, Massachusetts, USA
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8
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Prete DA, Heikoop D, McGillivray JE, Reilly JP, Trainor LJ. The sound of silence: Predictive error responses to unexpected sound omission in adults. Eur J Neurosci 2022; 55:1972-1985. [PMID: 35357048 DOI: 10.1111/ejn.15660] [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: 06/05/2021] [Revised: 09/09/2021] [Accepted: 03/22/2022] [Indexed: 11/28/2022]
Abstract
The human auditory system excels at detecting patterns needed for processing speech and music. According to predictive coding, the brain predicts incoming sounds, compares predictions to sensory input, and generates a prediction error whenever a mismatch between the prediction and sensory input occurs. Predictive coding can be indexed in EEG with the mismatch negativity (MMN) and P3a components, two ERP components that are elicited by infrequent deviant sounds (e.g., differing in pitch, duration, loudness) in a stream of frequent sounds. If these components reflect prediction error, they should also be elicited by omitting an expected sound, but few studies have examined this. We compared ERPs elicited by infrequent randomly occurring omissions (unexpected silences) in tone sequences presented at 2 tones/sec to ERPs elicited by frequent, regularly occurring omissions (expected silences) within a sequence of tones and resting state EEG (a constant silence). We found that unexpected silences elicited significant MMN and P3a, although the magnitude of these components was quite small and variable. These results provide evidence for hierarchical predictive coding, indicating that the brain predicts silences as well as sounds.
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Affiliation(s)
- David A Prete
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada
| | - David Heikoop
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada
| | | | - James P Reilly
- Electrical and Computer Engineering, McMaster University, Hamilton, Canada.,ARiEAL Research Centre, McMaster University, Hamilton, Canada.,School of Biomedical Engineering, McMaster University, Hamilton, Canada.,Vector Institute, MaRS Centre, Toronto, Canada
| | - Laurel J Trainor
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada.,McMaster Institute for Music and the Mind, McMaster University, Hamilton, ON, Canada.,Rotman Research Institute, Baycrest Hospital, Toronto, ON, Canada
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9
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Tsang YK, Zou Y, Tse CY. Semantic transparency in Chinese compound word processing: Evidence from mismatch negativity. Neuroscience 2022; 490:216-223. [DOI: 10.1016/j.neuroscience.2022.03.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 02/18/2022] [Accepted: 03/05/2022] [Indexed: 11/17/2022]
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10
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Jiao X, Hu Q, Tang Y, Qian Z, Tong S, Wang J, Sun J. Test-retest reliability of mismatch negativity and gamma-band auditory steady-state response in patients with schizophrenia. Schizophr Res 2022; 240:165-174. [PMID: 35030446 DOI: 10.1016/j.schres.2021.12.042] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 11/16/2021] [Accepted: 12/24/2021] [Indexed: 12/18/2022]
Abstract
Patients with schizophrenia show widespread impairments in clinical, cognitive and psychosocial functioning. Mismatch negativity (MMN) and gamma-band auditory steady-state response (ASSR) are two neurophysiological biomarkers widely used to inform diagnosis, guide treatments and track response to interventions in schizophrenia. However, evidence for the test-retest reliability of these indices across multiple sessions in schizophrenia patients remains scarce. In the present study, we included 34 schizophrenia patients (17 females) and obtained duration MMN (dMMN), frequency MMN (fMMN) and 40-Hz ASSR data across three sessions with intervals of 2 days. Event-related spectrum perturbation (ERSP) and inter-trial coherence (ITC) were calculated following Morlet wavelet time-frequency decomposition of ASSR data. The intra-class correlation coefficient (ICC) was used to quantify the reliability of MMN and ASSR measures among the three sessions. We found fair to good reliability for dMMN amplitudes but poor reliability for fMMN amplitudes. For the ASSR measures, ERSP showed good to excellent test-retest reliability while ITC had poor to fair test-retest reliability. In addition, the average of dMMN amplitudes was significantly correlated with that of ERSP across the three sessions. In summary, we established for the first time the short-term test-retest reliability of MMN and ASSR measures in schizophrenia patients. These findings demonstrate that dMMN amplitudes and ERSP of ASSR are reliable indices which may be used in longitudinal observational studies.
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Affiliation(s)
- Xiong Jiao
- Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Qiang Hu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Yingying Tang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Zhenying Qian
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Shanbao Tong
- Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China; Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Jijun Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; CAS Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Science, Shanghai 200031, China; Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai 200030, China.
| | - Junfeng Sun
- Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China; Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai 200030, China.
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11
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MEG-Derived Symptom-Sensitive Biomarkers with Long-Term Test-Retest Reliability. Diagnostics (Basel) 2021; 12:diagnostics12010084. [PMID: 35054252 PMCID: PMC8775104 DOI: 10.3390/diagnostics12010084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 12/20/2021] [Accepted: 12/23/2021] [Indexed: 11/17/2022] Open
Abstract
Neuroelectric measures derived from human magnetoencephalographic (MEG) recordings hold promise as aides to diagnosis and treatment monitoring and targeting for chronic sequelae of traumatic brain injury (TBI). This study tests novel MEG-derived regional brain measures of tonic neuroelectric activation for long-term test-retest reliability and sensitivity to symptoms. Resting state MEG recordings were obtained from a normative cohort (CamCAN, baseline: n = 613; mean 16-month follow-up: n = 245) and a chronic symptomatic TBI cohort (TEAM-TBI, baseline: n = 62; mean 6-month follow-up: n = 40). The MEG-derived neuroelectric measures were corrected for the empty-room contribution using a random forest classifier. The mean 16-month correlation between baseline and 16-month follow-up CamCAN measures was 0.67; test-retest reliability was markedly improved in this study compared with previous work. The TEAM-TBI cohort was screened for depression, somatization, and anxiety with the Brief Symptom Inventory and for insomnia with the Insomnia Severity Index and was assessed via adjudication for six clinical syndromes: chronic pain, psychological health, and oculomotor, vestibular, cognitive, and sleep dysfunction. Linear classifiers constructed from the 136 regional measures from each TEAM-TBI cohort member distinguished those with and without each symptom, p < 0.0003 for each, i.e., the tonic regional neuroelectric measures of activation are sensitive to the presence/absence of these symptoms and clinical syndromes. The novel regional MEG-derived neuroelectric measures obtained and tested in this study demonstrate the necessary and sufficient properties to be clinically useful, i.e., good test-retest reliability, sensitivity to symptoms in each individual, and obtainable using automatic processing without human judgement or intervention.
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12
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Wang J, Chen T, Jiao X, Liu K, Tong S, Sun J. Test-retest reliability of duration-related and frequency-related mismatch negativity. Neurophysiol Clin 2021; 51:541-548. [PMID: 34750039 DOI: 10.1016/j.neucli.2021.10.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 10/22/2021] [Accepted: 10/22/2021] [Indexed: 10/19/2022] Open
Abstract
OBJECTIVES -Mismatch negativity (MMN) has been demonstrated as a potential biomarker for pre-attentive processing and prognosis in patients with psychosis. However, previous studies mainly evaluated the reliability of MMN across only two repeated sessions, which is inadequate to draw a convincing conclusion. The current study aimed to assess multi-session test-retest reliability in duration-related MMN (dMMN) and frequency-related MMN (fMMN). METHODS -We recorded four repeated sessions of electroencephalography (EEG) from 16 healthy participants in an oddball task. MMNs were extracted and their reliability was evaluated by intra-class coefficient (ICC). We also analyzed the correlation between fMMN and dMMN. RESULTS -Both dMMN and fMMN amplitudes exhibited good test-retest reliability, and fMMN had better reliability (average ICC = 0.7279) than dMMN (average ICC = 0.6974). Moreover, dMMN and fMMN showed more than moderate linear correlation in amplitudes (r = 0.598, CI: [0.100, 0.857]). CONCLUSION -Both the duration- and frequency-related MMN amplitudes were highly reliable across four-session experiments. These results provide further evidence for the potential utility of MMNs as biomarkers in research into brain function, and prognosis in psychotic illness.
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Affiliation(s)
- Jingyi Wang
- Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Tingting Chen
- Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Xiong Jiao
- Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kai Liu
- Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Shanbao Tong
- Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China; Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
| | - Junfeng Sun
- Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China; Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China.
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13
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Koshy SM, Wiesman AI, Spooner RK, Embury C, Rezich MT, Heinrichs-Graham E, Wilson TW. Multielectrode Transcranial Electrical Stimulation of the Left and Right Prefrontal Cortices Differentially Impacts Verbal Working Memory Neural Circuitry. Cereb Cortex 2021; 30:2389-2400. [PMID: 31799616 DOI: 10.1093/cercor/bhz246] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Recent studies have examined the effects of conventional transcranial direct current stimulation (tDCS) on working memory (WM) performance, but this method has relatively low spatial precision and generally involves a reference electrode that complicates interpretation. Herein, we report a repeated-measures crossover study of 25 healthy adults who underwent multielectrode tDCS of the left dorsolateral prefrontal cortex (DLPFC), right DLPFC, or sham in 3 separate visits. Shortly after each stimulation session, participants performed a verbal WM (VWM) task during magnetoencephalography, and the resulting data were examined in the time-frequency domain and imaged using a beamformer. We found that after left DLPFC stimulation, participants exhibited stronger responses across a network of left-lateralized cortical areas, including the supramarginal gyrus, prefrontal cortex, inferior frontal gyrus, and cuneus, as well as the right hemispheric homologues of these regions. Importantly, these effects were specific to the alpha-band, which has been previously implicated in VWM processing. Although stimulation condition did not significantly affect performance, stepwise regression revealed a relationship between reaction time and response amplitude in the left precuneus and supramarginal gyrus. These findings suggest that multielectrode tDCS targeting the left DLPFC affects the neural dynamics underlying offline VWM processing, including utilization of a more extensive bilateral cortical network.
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Affiliation(s)
- Sam M Koshy
- Center for Magnetoencephalography, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Alex I Wiesman
- Center for Magnetoencephalography, University of Nebraska Medical Center, Omaha, NE 68198, USA.,Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA
| | - Rachel K Spooner
- Center for Magnetoencephalography, University of Nebraska Medical Center, Omaha, NE 68198, USA.,Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA
| | - Christine Embury
- Center for Magnetoencephalography, University of Nebraska Medical Center, Omaha, NE 68198, USA.,Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA.,Department of Psychology, University of Nebraska Omaha, Omaha, NE 68182, USA
| | - Michael T Rezich
- Center for Magnetoencephalography, University of Nebraska Medical Center, Omaha, NE 68198, USA.,Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA
| | - Elizabeth Heinrichs-Graham
- Center for Magnetoencephalography, University of Nebraska Medical Center, Omaha, NE 68198, USA.,Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA
| | - Tony W Wilson
- Center for Magnetoencephalography, University of Nebraska Medical Center, Omaha, NE 68198, USA.,Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA
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14
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Jiao X, Ying C, Tong S, Tang Y, Wang J, Sun J. The lateralization and reliability of spatial mismatch negativity elicited by auditory deviants with virtual spatial location. Int J Psychophysiol 2021; 165:92-100. [PMID: 33901512 DOI: 10.1016/j.ijpsycho.2021.04.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 04/14/2021] [Accepted: 04/19/2021] [Indexed: 01/10/2023]
Abstract
Mismatch negativity (MMN) is an intensively studied event-related potential component that reflects pre-attentive auditory processing. Existing spatial MMN (sMMN) studies usually use loud-speakers in different locations or deliver sound with binaural localization cues through earphones to elicit MMN, which either was practically complicated or sounded unnatural to the subjects. In the present study, we generated head related transfer function (HRTF)-based spatial sounds and verified that the HRTF-based sounds retained the left and the right spatial localization cues. We further used them as deviants to elicit sMMN with conventional oddball paradigm. Results showed that sMMN was successfully elicited by the HRTF-based deviants in 18 of 21 healthy subjects in two separate sessions. Furthermore, the left deviants elicited higher sMMN amplitudes in the right hemisphere compared to the left hemisphere, while the right deviants elicited sMMN with similar amplitudes in both hemispheres, which supports a combination of contralateral and right-hemispheric dominance in spatial auditory information processing. In addition, the sMMN in response to the right deviants showed good test-retest reliability, while the sMMN in response to the left deviants had weak test-retest reliability. These findings implicate that HRTF-based sMMN could be a robust paradigm to investigate spatial localization and discrimination abilities.
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Affiliation(s)
- Xiong Jiao
- Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chunwei Ying
- Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Shanbao Tong
- Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China; Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
| | - Yingying Tang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
| | - Jijun Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; CAS Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Science, Shanghai, PR China; Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, PR China.
| | - Junfeng Sun
- Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China; Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China.
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15
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Cheng CH, Chang CC, Chao YP, Lu H, Peng SW, Wang PN. Altered mismatch response precedes gray matter atrophy in subjective cognitive decline. Psychophysiology 2021; 58:e13820. [PMID: 33792049 DOI: 10.1111/psyp.13820] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 03/09/2021] [Accepted: 03/12/2021] [Indexed: 02/03/2023]
Abstract
The cross-sectional identification of subjective cognitive decline (SCD) in cognitively normal adults is particularly important for the early effective prevention or intervention of the future development of mild cognitive impairments (MCI) or Alzheimer's disease (AD). A pre-attentive neurophysiological signal that reflects the brain's ability to detect the changes of the environment is called mismatch negativity (MMN) or its magnetic counterpart (MMNm). It has been shown that patients with MCI or AD demonstrate reduced MMN/MMNm responses, while the exact profile of MMN/MMNm in SCD is substantially unknown. We applied magnetoencephalographic recordings to interrogate MMNm activities in healthy controls (HC, n = 29) and individuals with SCD (n = 26). Furthermore, we analyzed gray matter (GM) volumes in the MMNm-related regions through voxel-based morphometry and performed apolipoprotein E4 (APOE4) genotyping for all the participants. Our results showed that there were no significant differences in GM volume and proportions of APOE4 carriers between HC and SCD groups. However, individuals with SCD exhibited weakened z-corrected MMNm responses in the left inferior parietal lobule and right inferior frontal gyrus (IFG) as compared to HC. Based on the regions showing significant between-group differences, z-corrected MMNm amplitudes of the right IFG significantly correlated with the memory performance among the SCD participants. Our data suggest that neurophysiological changes of the brain, as indexed by MMNm, precede structural atrophy in the individuals with SCD compared to those without SCD.
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Affiliation(s)
- Chia-Hsiung Cheng
- Department of Occupational Therapy and Graduate Institute of Behavioral Sciences, Chang Gung University, Taoyuan, Taiwan.,Laboratory of Brain Imaging and Neural Dynamics (BIND Lab), Chang Gung University, Taoyuan, Taiwan.,Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan.,Department of Psychiatry, Chang Gung Memorial Hospital, Linkou, Taiwan
| | - Chiung-Chih Chang
- Department of Neurology and Institute for Translational Research in Biomedicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Yi-Ping Chao
- Graduate Institute of Biomedical Engineering, Chang Gung University, Taoyuan, Taiwan.,Department of Neurology, Chang Gung Memorial Hospital, Linkou, Taiwan
| | - Hsinjie Lu
- Department of Occupational Therapy and Graduate Institute of Behavioral Sciences, Chang Gung University, Taoyuan, Taiwan.,Laboratory of Brain Imaging and Neural Dynamics (BIND Lab), Chang Gung University, Taoyuan, Taiwan
| | - Shih-Wei Peng
- Division of General Neurology, Department of Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan.,Department of Neurology, National Yang-Ming Chiao-Tung University, Taipei, Taiwan
| | - Pei-Ning Wang
- Division of General Neurology, Department of Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan.,Department of Neurology, National Yang-Ming Chiao-Tung University, Taipei, Taiwan.,Brain Research Center, National Yang-Ming Chiao-Tung University, Taipei, Taiwan
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16
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Krieger D, Shepard P, Soose R, Puccio AM, Beers S, Schneider W, Kontos AP, Collins MW, Okonkwo DO. Symptom-Dependent Changes in MEG-Derived Neuroelectric Brain Activity in Traumatic Brain Injury Patients with Chronic Symptoms. Med Sci (Basel) 2021; 9:medsci9020020. [PMID: 33806153 PMCID: PMC8103254 DOI: 10.3390/medsci9020020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 02/23/2021] [Accepted: 03/17/2021] [Indexed: 01/11/2023] Open
Abstract
Neuroelectric measures derived from human magnetoencephalographic (MEG) recordings hold promise as aides to diagnosis and treatment monitoring and targeting for chronic sequelae of traumatic brain injury (TBI). This study tests novel MEG-derived regional brain measures of tonic neuroelectric activation for long-term test-retest reliability and sensitivity to symptoms. Resting state MEG recordings were obtained from a normative cohort, Cambridge Centre for Ageing and Neuroscience (CamCAN), baseline: n = 619; mean 16-month follow-up: n = 253) and a chronic symptomatic TBI cohort, Targeted Evaluation, Action and Monitoring of Traumatic Brain Injury (TEAM-TBI), baseline: n = 64; mean 6-month follow-up: n = 39). For the CamCAN cohort, MEG-derived neuroelectric measures showed good long-term test-retest reliability for most of the 103 automatically identified stereotypic regions. The TEAM-TBI cohort was screened for depression, somatization, and anxiety with the Brief Symptom Inventory and for insomnia with the Insomnia Severity Index. Linear classifiers constructed from the 103 regional measures from each TEAM-TBI cohort member distinguished those with and without each symptom, with p < 0.01 for each-i.e., the tonic regional neuroelectric measures of activation are sensitive to the presence/absence of these symptoms. The novel regional MEG-derived neuroelectric measures obtained and tested in this study demonstrate the necessary and sufficient properties to be clinically useful-i.e., good test-retest reliability, sensitivity to symptoms in each individual, and obtainable using automatic processing without human judgement or intervention.
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Affiliation(s)
- Don Krieger
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA 15232, USA; (A.M.P.); (D.O.O.)
- Correspondence:
| | - Paul Shepard
- Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA 15232, USA;
| | - Ryan Soose
- Department of Otolaryngology, University of Pittsburgh, Pittsburgh, PA 15232, USA;
| | - Ava M. Puccio
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA 15232, USA; (A.M.P.); (D.O.O.)
| | - Sue Beers
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15232, USA;
| | - Walter Schneider
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA 15232, USA;
| | - Anthony P. Kontos
- Department of Sports Medicine, University of Pittsburgh, Pittsburgh, PA 15232, USA; (A.P.K.); (M.W.C.)
| | - Michael W. Collins
- Department of Sports Medicine, University of Pittsburgh, Pittsburgh, PA 15232, USA; (A.P.K.); (M.W.C.)
| | - David O. Okonkwo
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA 15232, USA; (A.M.P.); (D.O.O.)
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17
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Auditory Mapping With MEG: An Update on the Current State of Clinical Research and Practice With Considerations for Clinical Practice Guidelines. J Clin Neurophysiol 2020; 37:574-584. [DOI: 10.1097/wnp.0000000000000518] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
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18
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Ethridge L, Thaliath A, Kraff J, Nijhawan K, Berry-Kravis E. Development of Neural Response to Novel Sounds in Fragile X Syndrome: Potential Biomarkers. AMERICAN JOURNAL ON INTELLECTUAL AND DEVELOPMENTAL DISABILITIES 2020; 125:449-464. [PMID: 33211818 PMCID: PMC8631234 DOI: 10.1352/1944-7558-125.6.449] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Accepted: 05/22/2020] [Indexed: 06/11/2023]
Abstract
Auditory processing abnormalities in fragile X syndrome (FXS) may contribute to difficulties with language development, pattern identification, and contextual updating. Participants with FXS (N = 41) and controls (N = 27) underwent auditory event-related potentials during presentation of an oddball paradigm. Data was adequate for analysis for 33 participants with FXS and 27 controls (age 4-51 y, 13 females [FXS]; 4-54 y, 11 females [control]). Participants with FXS showed larger N1 and P2 amplitudes, abnormal lack of modulation of P1 and P2 amplitudes and P2 latency in response to oddball stimuli ) relative to controls: Females with FXS were more similar to controls. Participants with FXS showed a marginal speeding of the P2 latency, suggesting potentiation to oddball stimuli rather than habituation. Participants with FXS showed a heightened N1 habituation effect compared to controls. Gamma power was significantly higher for participants with FXS. Groups did not differ on mismatch negativity. Both controls and participants with FXS showed similar developmental trajectories in P1 and N1 amplitude, P2 latency, and gamma power, but not for P2 amplitude. One month retest analyses performed in 14 participants suggest strong test-retest reliability for most measures. Individuals with FXS show previously demonstrated increased response amplitude and high frequency neural activity. Despite an overall normal developmental trajectory for most measures, individuals with FXS show age-independent but gender-dependent decreases in complex processing of novel stimuli. Many markers show strong retest reliability even in children and thus are potential biomarkers for clinical trials in FXS.
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Affiliation(s)
- Lauren Ethridge
- Lauren Ethridge, University of Oklahoma Health Sciences Center
| | - Andrew Thaliath
- Andrew Thaliath, Jeremy Kraff, Karan Nijhawan, and Elizabeth Berry-Kravis, Rush University Medical Center, Chicago
| | - Jeremy Kraff
- Andrew Thaliath, Jeremy Kraff, Karan Nijhawan, and Elizabeth Berry-Kravis, Rush University Medical Center, Chicago
| | - Karan Nijhawan
- Andrew Thaliath, Jeremy Kraff, Karan Nijhawan, and Elizabeth Berry-Kravis, Rush University Medical Center, Chicago
| | - Elizabeth Berry-Kravis
- Andrew Thaliath, Jeremy Kraff, Karan Nijhawan, and Elizabeth Berry-Kravis, Rush University Medical Center, Chicago
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19
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Roach BJ, Carrión RE, Hamilton HK, Bachman P, Belger A, Duncan E, Johannesen J, Light GA, Niznikiewicz M, Addington J, Bearden CE, S Cadenhead K, Cannon TD, A Cornblatt B, McGlashan TH, Perkins DO, Seidman L, Tsuang M, Walker EF, Woods SW, Mathalon DH. Reliability of mismatch negativity event-related potentials in a multisite, traveling subjects study. Clin Neurophysiol 2020; 131:2899-2909. [PMID: 33160266 DOI: 10.1016/j.clinph.2020.09.027] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 08/25/2020] [Accepted: 09/11/2020] [Indexed: 12/01/2022]
Abstract
OBJECTIVE To determine the optimal methods for measuring mismatch negativity (MMN), an auditory event-related potential (ERP), and quantify sources of MMN variance in a multisite setting. METHODS Reliability of frequency, duration, and double (frequency + duration) MMN was determined from eight traveling subjects, tested on two occasions at eight laboratory sites. Deviant-specific variance components were estimated for MMN peak amplitude and latency measures using different ERP processing methods. Generalizability (G) coefficients were calculated using two-facet (site and occasion), fully-crossed models and single-facet (occasion) models within each laboratory to assess MMN reliability. RESULTS G-coefficients calculated from two-facet models indicated fair (0.4 < G<=0.6) duration MMN reliability at electrode Fz, but poor (G < 0.4) double and frequency MMN reliability. Single-facet G-coefficients averaged across laboratory resulted in improved reliability (G > 0.5). MMN amplitude reliability was greater than latency reliability, and reliability with mastoid referencing significantly outperformed nose-referencing. CONCLUSIONS EEG preprocessing methods have an impact on the reliability of MMN amplitude. Within site MMN reliability can be excellent, consistent with prior single site studies. SIGNIFICANCE With standardized data collection and ERP processing, MMN can be reliably obtained in multisite studies, providing larger samples sizeswithin rare patient groups.
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Affiliation(s)
- Brian J Roach
- San Francisco Veterans Affairs Healthcare System, San Francisco, CA, United States
| | - Ricardo E Carrión
- Division of Psychiatry Research, The Zucker Hillside Hospital, North Shore-Long Island Jewish Health System, Glen Oaks, NY, United States; Center For PsychiatricNeuroscience, Feinstein Institute for Medical Research, North Shore-Long Island JewishHealth System, Manhasset, NY, United States; Department of Psychiatry, Hofstra North Shore-LIJ School of Medicine, Hempstead, NY, United States
| | - Holly K Hamilton
- San Francisco Veterans Affairs Healthcare System, San Francisco, CA, United States; Department of Psychiatry, University of California, San Francisco, CA, United States
| | - Peter Bachman
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
| | - Aysenil Belger
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Erica Duncan
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United States; Atlanta VeteransAffairs Medical Center, Decatur, GA, United States
| | - Jason Johannesen
- Department of Psychiatry, Yale University, School of Medicine, New Haven, CT, United States
| | - Gregory A Light
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States; Veterans Affairs San Diego Healthcare System, La Jolla, CA, United States
| | - Margaret Niznikiewicz
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, MA, United States
| | - Jean Addington
- Hotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
| | - Carrie E Bearden
- Semel Institute for Neuroscienceand Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States
| | - Kristin S Cadenhead
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Tyrone D Cannon
- Department of Psychiatry, Yale University, School of Medicine, New Haven, CT, United States; Department of Psychology, Yale University, School of Medicine, New Haven, CT, United States
| | - Barbara A Cornblatt
- Division of Psychiatry Research, The Zucker Hillside Hospital, North Shore-Long Island Jewish Health System, Glen Oaks, NY, United States; Center For PsychiatricNeuroscience, Feinstein Institute for Medical Research, North Shore-Long Island JewishHealth System, Manhasset, NY, United States; Department of Psychiatry, Hofstra North Shore-LIJ School of Medicine, Hempstead, NY, United States; Department of Molecular Medicine, Hofstra North Shore-LIJ School of Medicine, Hempstead, NY, United States
| | - Thomas H McGlashan
- Department of Psychiatry, Yale University, School of Medicine, New Haven, CT, United States
| | - Diana O Perkins
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Larry Seidman
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, MA, United States
| | - Ming Tsuang
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Elaine F Walker
- Department of Psychology, Emory University, Atlanta, GA, United States
| | - Scott W Woods
- Department of Psychiatry, Yale University, School of Medicine, New Haven, CT, United States
| | - Daniel H Mathalon
- San Francisco Veterans Affairs Healthcare System, San Francisco, CA, United States; Department of Psychiatry, University of California, San Francisco, CA, United States.
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20
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de Tommaso M, Betti V, Bocci T, Bolognini N, Di Russo F, Fattapposta F, Ferri R, Invitto S, Koch G, Miniussi C, Piccione F, Ragazzoni A, Sartucci F, Rossi S, Valeriani M. Pearl and pitfalls in brain functional analysis by event-related potentials: a narrative review by the Italian Psychophysiology and Cognitive Neuroscience Society on methodological limits and clinical reliability-part II. Neurol Sci 2020; 41:3503-3515. [PMID: 32683566 DOI: 10.1007/s10072-020-04527-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2019] [Accepted: 06/21/2020] [Indexed: 12/13/2022]
Abstract
This review focuses on new and/or less standardized event-related potentials methods, in order to improve their knowledge for future clinical applications. The olfactory event-related potentials (OERPs) assess the olfactory functions in time domain, with potential utility in anosmia and degenerative diseases. The transcranial magnetic stimulation-electroencephalography (TMS-EEG) could support the investigation of the intracerebral connections with very high temporal discrimination. Its application in the diagnosis of disorders of consciousness has achieved recent confirmation. Magnetoencephalography (MEG) and event-related fields (ERF) could improve spatial accuracy of scalp signals, with potential large application in pre-surgical study of epileptic patients. Although these techniques have methodological limits, such as high inter- and intraindividual variability and high costs, their diffusion among researchers and clinicians is hopeful, pending their standardization.
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Affiliation(s)
- Marina de Tommaso
- Applied Neurophysiology and Pain Unit-AnpLab-University of Bari Aldo Moro, Bari, Italy
| | - Viviana Betti
- Department of Psychology, Sapienza University of Rome, Rome, Italy.,Fondazione Santa Lucia, Istituto Di Ricovero e Cura a Carattere Scientifico, Rome, Italy
| | - Tommaso Bocci
- Dipartimento di Scienze della Salute, University of Milano, Milan, Italy
| | - Nadia Bolognini
- Department of Psychology & NeuroMi, University of Milano Bicocca, Milan, Italy.,Laboratory of Neuropsychology, IRCCS Istituto Auxologico, Milan, Italy
| | - Francesco Di Russo
- Dept. of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy
| | | | | | - Sara Invitto
- INSPIRE - Laboratory of Cognitive and Psychophysiological Olfactory Processes, University of Salento, Lecce, Italy
| | - Giacomo Koch
- Fondazione Santa Lucia, Istituto Di Ricovero e Cura a Carattere Scientifico, Rome, Italy.,Neuroscience Department, Policlinico Tor Vergata, Rome, Italy
| | - Carlo Miniussi
- Center for Mind/Brain Sciences - CIMeC, University of Trento, Rovereto, Italy.,Cognitive Neuroscience Section, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Francesco Piccione
- Brain Imaging and Neural Dynamics Research Group, IRCCS San Camillo Hospital, Venice, Italy
| | - Aldo Ragazzoni
- Unit of Neurology and Clinical Neurophysiology, Fondazione PAS, Scandicci, Florence, Italy
| | - Ferdinando Sartucci
- Section of Neurophysiopathology, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.,CNR Institute of Neuroscience, Pisa, Italy
| | - Simone Rossi
- Department of Medicine, Surgery and Neuroscience Siena Brain Investigation and Neuromodulation LAb (SI-BIN Lab), University of Siena, Siena, Italy
| | - Massimiliano Valeriani
- Neurology Unit, Bambino Gesù Hospital, Rome, Italy. .,Center for Sensory-Motor Interaction, Aalborg University, Aalborg, Denmark.
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21
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Roach BJ, Hamilton HK, Bachman P, Belger A, Carrión RE, Duncan E, Johannesen J, Kenney JG, Light G, Niznikiewicz M, Addington J, Bearden CE, Owens EM, Cadenhead KS, Cannon TD, Cornblatt BA, McGlashan TH, Perkins DO, Seidman L, Tsuang M, Walker EF, Woods SW, Mathalon DH. Stability of mismatch negativity event-related potentials in a multisite study. Int J Methods Psychiatr Res 2020; 29:e1819. [PMID: 32232944 PMCID: PMC7301288 DOI: 10.1002/mpr.1819] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Revised: 01/16/2020] [Accepted: 01/31/2020] [Indexed: 01/10/2023] Open
Abstract
OBJECTIVES Mismatch negativity (MMN), an auditory event-related potential sensitive to deviance detection, is smaller in schizophrenia and psychosis risk. In a multisite study, a regression approach to account for effects of site and age (12-35 years) was evaluated alongside the one-year stability of MMN. METHODS Stability of frequency, duration, and frequency + duration (double) deviant MMN was assessed in 167 healthy subjects, tested on two occasions, separated by 52 weeks, at one of eight sites. Linear regression models predicting MMN with age and site were validated and used to derive standardized MMN z-scores. Variance components estimated for MMN amplitude and latency measures were used to calculate Generalizability (G) coefficients within each site to assess MMN stability. Trait-like aspects of MMN were captured by averaging across occasions and correlated with subject traits. RESULTS Age and site accounted for less than 7% of MMN variance. G-coefficients calculated at electrode Fz were stable (G = 0.63) across deviants and sites for amplitude measured in a fixed window, but not for latency (G = 0.37). Frequency deviant MMN z-scores averaged across tests negatively correlated with averaged global assessment of functioning. CONCLUSION MMN amplitude is stable and can be standardized to facilitate longitudinal multisite studies of patients and clinical features.
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Affiliation(s)
- Brian J Roach
- Department of Psychiatry, San Francisco Veterans Affairs Healthcare System, San Francisco, California, USA
| | - Holly K Hamilton
- Department of Psychiatry, San Francisco Veterans Affairs Healthcare System, San Francisco, California, USA.,Department of Psychiatry, University of California, San Francisco, California, USA
| | - Peter Bachman
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Aysenil Belger
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Ricardo E Carrión
- Division of Psychiatry Research, The Zucker Hillside Hospital, North Shore-Long Island Jewish Health System, Glen Oaks, New York, USA.,Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, North Shore-Long Island Jewish Health System, Manhasset, New York, USA.,Department of Psychiatry, Hofstra North Shore-LIJ School of Medicine, Hempstead, New York, USA
| | - Erica Duncan
- Department of Psychiatry, Atlanta Veterans Affairs Medical Center, Decatur, Georgia, USA.,Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Jason Johannesen
- Department of Psychiatry, Yale University, School of Medicine, New Haven, Connecticut, USA
| | - Joshua G Kenney
- Department of Psychiatry, Yale University, School of Medicine, New Haven, Connecticut, USA
| | - Gregory Light
- Department of Psychiatry, University of California, San Diego, California, USA.,Department of Psychiatry, Veterans Affairs San Diego Healthcare System, San Diego, California, USA
| | - Margaret Niznikiewicz
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Jean Addington
- Hotchkiss Brain Institute Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
| | - Carrie E Bearden
- Semel Institute for Neuroscience and Human Behavior and Department of Psychology, University of California, Los Angeles, California, USA
| | - Emily M Owens
- Semel Institute for Neuroscience and Human Behavior and Department of Psychology, University of California, Los Angeles, California, USA
| | - Kristin S Cadenhead
- Department of Psychiatry, University of California, San Diego, California, USA
| | - Tyrone D Cannon
- Department of Psychiatry, Yale University, School of Medicine, New Haven, Connecticut, USA.,Department of Psychology, Yale University, School of Medicine, New Haven, Connecticut, USA
| | - Barbara A Cornblatt
- Division of Psychiatry Research, The Zucker Hillside Hospital, North Shore-Long Island Jewish Health System, Glen Oaks, New York, USA.,Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, North Shore-Long Island Jewish Health System, Manhasset, New York, USA.,Department of Psychiatry, Hofstra North Shore-LIJ School of Medicine, Hempstead, New York, USA.,Department of Molecular Medicine, Hofstra North Shore-LIJ School of Medicine, Hempstead, New York, USA
| | - Thomas H McGlashan
- Department of Psychiatry, Yale University, School of Medicine, New Haven, Connecticut, USA
| | - Diana O Perkins
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Larry Seidman
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Ming Tsuang
- Department of Psychiatry, University of California, San Diego, California, USA
| | - Elaine F Walker
- Department of Psychology, Emory University, Atlanta, Georgia, USA
| | - Scott W Woods
- Department of Psychiatry, Yale University, School of Medicine, New Haven, Connecticut, USA
| | - Daniel H Mathalon
- Department of Psychiatry, San Francisco Veterans Affairs Healthcare System, San Francisco, California, USA.,Department of Psychiatry, University of California, San Francisco, California, USA
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22
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Candelaria-Cook FT, Schendel ME, Ojeda CJ, Bustillo JR, Stephen JM. Reduced parietal alpha power and psychotic symptoms: Test-retest reliability of resting-state magnetoencephalography in schizophrenia and healthy controls. Schizophr Res 2020; 215:229-240. [PMID: 31706785 PMCID: PMC7036030 DOI: 10.1016/j.schres.2019.10.023] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Revised: 10/07/2019] [Accepted: 10/09/2019] [Indexed: 11/29/2022]
Abstract
BACKGROUND Despite increased reporting of resting-state magnetoencephalography (MEG), reliability of those measures remains scarce and predominately reported in healthy controls (HC). As such, there is limited knowledge on MEG resting-state reliability in schizophrenia (SZ). METHODS To address test-retest reliability in psychosis, a reproducibility study of 26 participants (13-SZ, 13-HC) was performed. We collected eyes open and eyes closed resting-state data during 4 separate instances (2 Visits, 2 runs per visit) to estimate spectral power reliability (power, normalized power, alpha reactivity) across one hour and one week. Intraclass correlation coefficients (ICCs) were calculated. For source modeling, we applied an anatomically constrained linear estimation inverse model known as dynamic statistical parametric mapping (MNE dSPM) and source-based connectivity using the weighted phase lag index. RESULTS Across one week there was excellent test-retest reliability in global spectral measures in theta-gamma bands (HC ICCAvg = 0.87, SZ ICCAvg = 0.87), regional spectral measures in all bands (HC ICCAvg = 0.86, SZ ICCAvg = 0.80), and parietal alpha measures (HC ICCAvg = 0.90, SZ ICCAvg = 0.84). Conversely, functional connectivity had poor reliability, as did source spectral power across one hour for SZ. Relative to HC, SZ also had reduced parietal alpha normalized power during eyes closed only, reduced alpha reactivity, and an association between higher PANSS positive scores and lower parietal alpha power. CONCLUSIONS There was excellent to good test-retest reliability in most MEG spectral measures with a few exceptions in the schizophrenia patient group. Overall, these findings encourage the use of resting-state MEG while emphasizing the importance of determining reliability in clinical populations.
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Affiliation(s)
| | | | - Cesar J. Ojeda
- Department of Psychiatry and Behavioral Sciences, Center for Psychiatric Research, University of New Mexico School of Medicine, Albuquerque, New Mexico
| | - Juan R. Bustillo
- Department of Psychiatry and Behavioral Sciences, Center for Psychiatric Research, University of New Mexico School of Medicine, Albuquerque, New Mexico
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23
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Demarchi G, Sanchez G, Weisz N. Automatic and feature-specific prediction-related neural activity in the human auditory system. Nat Commun 2019; 10:3440. [PMID: 31371713 PMCID: PMC6672009 DOI: 10.1038/s41467-019-11440-1] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Accepted: 07/11/2019] [Indexed: 12/04/2022] Open
Abstract
Prior experience enables the formation of expectations of upcoming sensory events. However, in the auditory modality, it is not known whether prediction-related neural signals carry feature-specific information. Here, using magnetoencephalography (MEG), we examined whether predictions of future auditory stimuli carry tonotopic specific information. Participants passively listened to sound sequences of four carrier frequencies (tones) with a fixed presentation rate, ensuring strong temporal expectations of when the next stimulus would occur. Expectation of which frequency would occur was parametrically modulated across the sequences, and sounds were occasionally omitted. We show that increasing the regularity of the sequence boosts carrier-frequency-specific neural activity patterns during both the anticipatory and omission periods, indicating that prediction-related neural activity is indeed feature-specific. Our results illustrate that even without bottom-up input, auditory predictions can activate tonotopically specific templates. After listening to a predictable sequence of sounds, we can anticipate and predict the next sound in the sequence. Here, the authors show that during expectation of a sound, the brain generates neural activity matching that which is produced by actually hearing the same sound.
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Affiliation(s)
- Gianpaolo Demarchi
- Centre for Cognitive Neuroscience and Division of Physiological Psychology, University of Salzburg, Hellbrunnerstraße 34, 5020, Salzburg, Austria.
| | - Gaëtan Sanchez
- Centre for Cognitive Neuroscience and Division of Physiological Psychology, University of Salzburg, Hellbrunnerstraße 34, 5020, Salzburg, Austria.,Lyon Neuroscience Research Center, Brain Dynamics and Cognition Team, INSERM UMRS 1028, CNRS UMR 5292, Université Claude Bernard Lyon 1, Université de Lyon, F-69000, Lyon, France
| | - Nathan Weisz
- Centre for Cognitive Neuroscience and Division of Physiological Psychology, University of Salzburg, Hellbrunnerstraße 34, 5020, Salzburg, Austria
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24
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Li Q, Liu G, Yuan G, Wang G, Wu Z, Zhao X. Single-Trial EEG-fMRI Reveals the Generation Process of the Mismatch Negativity. Front Hum Neurosci 2019; 13:168. [PMID: 31191275 PMCID: PMC6546813 DOI: 10.3389/fnhum.2019.00168] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2019] [Accepted: 05/07/2019] [Indexed: 01/22/2023] Open
Abstract
Although research on the mismatch negativity (MMN) has been ongoing for 40 years, the generation process of the MMN remains largely unknown. In this study, we used a single-trial electro-encephalography (EEG)-functional magnetic resonance imaging (fMRI) coupling method which can analyze neural activity with both high temporal and high spatial resolution and thus assess the generation process of the MMN. We elicited the MMN with an auditory oddball paradigm while recording simultaneous EEG and fMRI. We divided the MMN into five equal-durational phases. Utilizing the single-trial variability of the MMN, we analyzed the neural generators of the five phases, thereby determining the spatiotemporal generation process of the MMN. We found two distinct bottom-up prediction error propagations: first from the auditory cortex to the motor areas and then from the auditory cortex to the inferior frontal gyrus (IFG). Our results support the regularity-violation hypothesis of MMN generation.
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Affiliation(s)
- Qiang Li
- Education Science College, Guizhou Normal College, Guiyang, China
| | - Guangyuan Liu
- College of Electronic and Information Engineering, Southwest University, Chongqing, China.,Chongqing Collaborative Innovation Center for Brain Science, Southwest University, Chongqing, China
| | - Guangjie Yuan
- College of Electronic and Information Engineering, Southwest University, Chongqing, China
| | - Gaoyuan Wang
- College of Music, Southwest University, Chongqing, China
| | - Zonghui Wu
- Southwest University Hospital, Southwest University, Chongqing, China
| | - Xingcong Zhao
- College of Electronic and Information Engineering, Southwest University, Chongqing, China
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25
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Altered neocortical tactile but preserved auditory early change detection responses in Friedreich ataxia. Clin Neurophysiol 2019; 130:1299-1310. [PMID: 31176929 DOI: 10.1016/j.clinph.2019.05.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Revised: 04/16/2019] [Accepted: 05/01/2019] [Indexed: 12/17/2022]
Abstract
OBJECTIVE To study using magnetoencephalography (MEG) the spatio-temporal dynamics of neocortical responses involved in sensory processing and early change detection in Friedreich ataxia (FRDA). METHODS Tactile (TERs) and auditory (AERs) evoked responses, and early neocortical change detection responses indexed by the mismatch negativity (MMN) were recorded using tactile and auditory oddballs in sixteen FRDA patients and matched healthy subjects. Correlations between the maximal amplitude of each response, genotype and clinical parameters were investigated. RESULTS Evoked responses were detectable in all FRDA patients but one. In patients, TERs were delayed and reduced in amplitude, while AERs were only delayed. Only tactile MMN responses at the contralateral secondary somatosensory cortex were altered in FRDA patients. Maximal amplitudes of TERs, AERs and tactile MMN correlated with genotype, but did not correlate with clinical parameters. CONCLUSIONS In FRDA, theamplitude of tactile MMN responses at SII cortex are reduced and correlate with the genotype, whileauditory MMN responses are not altered. SIGNIFICANCE Somatosensory pathways and tactile early change detection are selectively impaired in FRDA.
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26
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Carbajal GV, Malmierca MS. The Neuronal Basis of Predictive Coding Along the Auditory Pathway: From the Subcortical Roots to Cortical Deviance Detection. Trends Hear 2019; 22:2331216518784822. [PMID: 30022729 PMCID: PMC6053868 DOI: 10.1177/2331216518784822] [Citation(s) in RCA: 77] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023] Open
Abstract
In this review, we attempt to integrate the empirical evidence regarding stimulus-specific adaptation (SSA) and mismatch negativity (MMN) under a predictive coding perspective (also known as Bayesian or hierarchical-inference model). We propose a renewed methodology for SSA study, which enables a further decomposition of deviance detection into repetition suppression and prediction error, thanks to the use of two controls previously introduced in MMN research: the many-standards and the cascade sequences. Focusing on data obtained with cellular recordings, we explain how deviance detection and prediction error are generated throughout hierarchical levels of processing, following two vectors of increasing computational complexity and abstraction along the auditory neuraxis: from subcortical toward cortical stations and from lemniscal toward nonlemniscal divisions. Then, we delve into the particular characteristics and contributions of subcortical and cortical structures to this generative mechanism of hierarchical inference, analyzing what is known about the role of neuromodulation and local microcircuitry in the emergence of mismatch signals. Finally, we describe how SSA and MMN are occurring at similar time frame and cortical locations, and both are affected by the manipulation of N-methyl- D-aspartate receptors. We conclude that there is enough empirical evidence to consider SSA and MMN, respectively, as the microscopic and macroscopic manifestations of the same physiological mechanism of deviance detection in the auditory cortex. Hence, the development of a common theoretical framework for SSA and MMN is all the more recommendable for future studies. In this regard, we suggest a shared nomenclature based on the predictive coding interpretation of deviance detection.
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Affiliation(s)
- Guillermo V Carbajal
- 1 Auditory Neuroscience Laboratory (Lab 1), Institute of Neuroscience of Castile and León, University of Salamanca, Salamanca, Spain.,2 Salamanca Institute for Biomedical Research, Spain
| | - Manuel S Malmierca
- 1 Auditory Neuroscience Laboratory (Lab 1), Institute of Neuroscience of Castile and León, University of Salamanca, Salamanca, Spain.,2 Salamanca Institute for Biomedical Research, Spain.,3 Department of Cell Biology and Pathology, Faculty of Medicine, University of Salamanca, Spain
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27
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Chen C, Chan CW, Cheng Y. Test-Retest Reliability of Mismatch Negativity (MMN) to Emotional Voices. Front Hum Neurosci 2018; 12:453. [PMID: 30498437 PMCID: PMC6249375 DOI: 10.3389/fnhum.2018.00453] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2018] [Accepted: 10/24/2018] [Indexed: 12/20/2022] Open
Abstract
A voice from kin species conveys indispensable social and affective signals with uniquely phylogenetic and ontogenetic standpoints. However, the neural underpinning of emotional voices, beyond low-level acoustic features, activates a processing chain that proceeds from the auditory pathway to the brain structures implicated in cognition and emotion. By using a passive auditory oddball paradigm, which employs emotional voices, this study investigates the test–retest reliability of emotional mismatch negativity (MMN), indicating that the deviants of positively (happily)- and negatively (angrily)-spoken syllables, as compared to neutral standards, can trigger MMN as a response to an automatic discrimination of emotional salience. The neurophysiological estimates of MMN to positive and negative deviants appear to be highly reproducible, irrespective of the subject’s attentional disposition: whether the subjects are set to a condition that involves watching a silent movie or do a working memory task. Specifically, negativity bias is evinced as threatening, relative to positive vocalizations, consistently inducing larger MMN amplitudes, regardless of the day and the time of a day. The present findings provide evidence to support the fact that emotional MMN offers a stable platform to detect subtle changes in current emotional shifts.
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Affiliation(s)
- Chenyi Chen
- Department of Physical Medicine and Rehabilitation, National Yang-Ming University Hospital, Yilan, Taiwan.,Graduate Institute of Injury Prevention and Control, Taipei Medical University, Taipei, Taiwan.,Institute of Humanities in Medicine, Taipei Medical University, Taipei, Taiwan.,Research Center of Brain and Consciousness, Shuang Ho Hospital, Taipei Medical University, Taipei, Taiwan
| | - Chia-Wen Chan
- Graduate Institute of Injury Prevention and Control, Taipei Medical University, Taipei, Taiwan
| | - Yawei Cheng
- Department of Physical Medicine and Rehabilitation, National Yang-Ming University Hospital, Yilan, Taiwan.,Institute of Neuroscience and Brain Research Center, National Yang-Ming University, Taipei, Taiwan.,Department of Research and Education, Taipei City Hospital, Taipei, Taiwan
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28
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Zhang J, Dong X, Wang L, Zhao L, Weng Z, Zhang T, Sui J, Go R, Huang Q, Wu J, Yan T. Gender Differences in Global Functional Connectivity During Facial Emotion Processing: A Visual MMN Study. Front Behav Neurosci 2018; 12:220. [PMID: 30319370 PMCID: PMC6167960 DOI: 10.3389/fnbeh.2018.00220] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2018] [Accepted: 08/30/2018] [Indexed: 11/21/2022] Open
Abstract
To investigate gender differences in functional connectivity during the unattended processing of facial expressions, we recorded visual mismatch negativity (vMMN) in 34 adults using a deviant-standard reverse oddball paradigm. Using wavelet analysis, we calculated the time-frequency (TF) power at each electrode associated with happy-deviant, sad-deviant, happy-standard and sad-standard conditions. We also calculated the phase lag index (PLI) between electrode pairs and analyzed the dynamic network topologies of the functional connectivity for happy and sad vMMNs in the delta (0.5-4 Hz), theta (4-8 Hz), alpha (8-13 Hz), beta (13-30 Hz) and gamma (30-45 Hz) bands. The results showed that females induced stronger TF power and PLI values than males in only the alpha band over the whole brain regarding the vMMN. Moreover, females had a higher ratio of the number of connections between long-distance electrode pairs than males. While theoretical analysis of dynamic network topologies indicated that high node degree values were found in local brain regions of males and in almost the entire female brain, our findings suggested that female brain activation and connections between brain regions are not only stronger but also more widely distributed during the unattended processing of facial expressions than those in males.
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Affiliation(s)
- Jian Zhang
- School of Mechatronical Engineering, Intelligent Robotics Institute, Beijing Institute of Technology, Beijing, China
| | - Xiaonan Dong
- School of Life Science, Beijing Institute of Technology, Beijing, China
| | - Luyao Wang
- School of Mechatronical Engineering, Intelligent Robotics Institute, Beijing Institute of Technology, Beijing, China
| | - Lun Zhao
- School of Psychological Research, Beijing Yiran Sunny Technology Co. Ltd., Beijing, China
| | - Zizheng Weng
- Engineering and Computer Science, University of Denver, Denver, CO, United States
| | | | - Junyu Sui
- Shouguang Xiandai High School, Shandong, China
| | - Ritsu Go
- School of Mechatronical Engineering, Intelligent Robotics Institute, Beijing Institute of Technology, Beijing, China
| | - Qiang Huang
- School of Mechatronical Engineering, Intelligent Robotics Institute, Beijing Institute of Technology, Beijing, China
| | - Jinglong Wu
- School of Mechatronical Engineering, Intelligent Robotics Institute, Beijing Institute of Technology, Beijing, China
| | - Tianyi Yan
- School of Life Science, Beijing Institute of Technology, Beijing, China
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29
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Chen G, Taylor PA, Haller SP, Kircanski K, Stoddard J, Pine DS, Leibenluft E, Brotman MA, Cox RW. Intraclass correlation: Improved modeling approaches and applications for neuroimaging. Hum Brain Mapp 2018; 39:1187-1206. [PMID: 29218829 PMCID: PMC5807222 DOI: 10.1002/hbm.23909] [Citation(s) in RCA: 76] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2017] [Revised: 11/20/2017] [Accepted: 11/29/2017] [Indexed: 12/21/2022] Open
Abstract
Intraclass correlation (ICC) is a reliability metric that gauges similarity when, for example, entities are measured under similar, or even the same, well-controlled conditions, which in MRI applications include runs/sessions, twins, parent/child, scanners, sites, and so on. The popular definitions and interpretations of ICC are usually framed statistically under the conventional ANOVA platform. Here, we provide a comprehensive overview of ICC analysis in its prior usage in neuroimaging, and we show that the standard ANOVA framework is often limited, rigid, and inflexible in modeling capabilities. These intrinsic limitations motivate several improvements. Specifically, we start with the conventional ICC model under the ANOVA platform, and extend it along two dimensions: first, fixing the failure in ICC estimation when negative values occur under degenerative circumstance, and second, incorporating precision information of effect estimates into the ICC model. These endeavors lead to four modeling strategies: linear mixed-effects (LME), regularized mixed-effects (RME), multilevel mixed-effects (MME), and regularized multilevel mixed-effects (RMME). Compared to ANOVA, each of these four models directly provides estimates for fixed effects and their statistical significances, in addition to the ICC estimate. These new modeling approaches can also accommodate missing data and fixed effects for confounding variables. More importantly, we show that the MME and RMME approaches offer more accurate characterization and decomposition among the variance components, leading to more robust ICC computation. Based on these theoretical considerations and model performance comparisons with a real experimental dataset, we offer the following general-purpose recommendations. First, ICC estimation through MME or RMME is preferable when precision information (i.e., weights that more accurately allocate the variances in the data) is available for the effect estimate; when precision information is unavailable, ICC estimation through LME or the RME is the preferred option. Second, even though the absolute agreement version, ICC(2,1), is presently more popular in the field, the consistency version, ICC(3,1), is a practical and informative choice for whole-brain ICC analysis that achieves a well-balanced compromise when all potential fixed effects are accounted for. Third, approaches for clear, meaningful, and useful result reporting in ICC analysis are discussed. All models, ICC formulations, and related statistical testing methods have been implemented in an open source program 3dICC, which is publicly available as part of the AFNI suite. Even though our work here focuses on the whole-brain level, the modeling strategy and recommendations can be equivalently applied to other situations such as voxel, region, and network levels.
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Affiliation(s)
- Gang Chen
- Scientific and Statistical Computing CoreNational Institute of Mental Health, National Institutes of HealthBethesdaMD
| | - Paul A. Taylor
- Scientific and Statistical Computing CoreNational Institute of Mental Health, National Institutes of HealthBethesdaMD
| | - Simone P. Haller
- Section on Mood Dysregulation and Neuroscience, Emotion and Development BranchNational Institute of Mental HealthBethesdaMD
| | - Katharina Kircanski
- Section on Mood Dysregulation and Neuroscience, Emotion and Development BranchNational Institute of Mental HealthBethesdaMD
| | - Joel Stoddard
- Division of Child and Adolescent Psychiatry, Department of PsychiatryUniversity of Colorado School of MedicineAuroraColorado
| | - Daniel S. Pine
- Section on Development and Affective Neuroscience, Emotion and Development BranchNational Institute of Mental HealthBethesdaMD
| | - Ellen Leibenluft
- Section on Mood Dysregulation and Neuroscience, Emotion and Development BranchNational Institute of Mental HealthBethesdaMD
| | - Melissa A. Brotman
- Section on Mood Dysregulation and Neuroscience, Emotion and Development BranchNational Institute of Mental HealthBethesdaMD
| | - Robert W. Cox
- Scientific and Statistical Computing CoreNational Institute of Mental Health, National Institutes of HealthBethesdaMD
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