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Criel Y, Depuydt E, Miatton M, Santens P, van Mierlo P, De Letter M. Cortical Generators and Connections Underlying Phoneme Perception: A Mismatch Negativity and P300 Investigation. Brain Topogr 2024:10.1007/s10548-024-01065-z. [PMID: 38958833 DOI: 10.1007/s10548-024-01065-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 06/19/2024] [Indexed: 07/04/2024]
Abstract
The cortical generators of the pure tone MMN and P300 have been thoroughly studied. Their nature and interaction with respect to phoneme perception, however, is poorly understood. Accordingly, the cortical sources and functional connections that underlie the MMN and P300 in relation to passive and active speech sound perception were identified. An inattentive and attentive phonemic oddball paradigm, eliciting a MMN and P300 respectively, were administered in 60 healthy adults during simultaneous high-density EEG recording. For both the MMN and P300, eLORETA source reconstruction was performed. The maximal cross-correlation was calculated between ROI-pairs to investigate inter-regional functional connectivity specific to passive and active deviant processing. MMN activation clusters were identified in the temporal (insula, superior temporal gyrus and temporal pole), frontal (rostral middle frontal and pars opercularis) and parietal (postcentral and supramarginal gyrus) cortex. Passive discrimination of deviant phonemes was aided by a network connecting right temporoparietal cortices to left frontal areas. For the P300, clusters with significantly higher activity were found in the frontal (caudal middle frontal and precentral), parietal (precuneus) and cingulate (posterior and isthmus) cortex. Significant intra- and interhemispheric connections between parietal, cingulate and occipital regions constituted the network governing active phonemic target detection. A predominantly bilateral network was found to underly both the MMN and P300. While passive phoneme discrimination is aided by a fronto-temporo-parietal network, active categorization calls on a network entailing fronto-parieto-cingulate cortices. Neural processing of phonemic contrasts, as reflected by the MMN and P300, does not appear to show pronounced lateralization to the language-dominant hemisphere.
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Affiliation(s)
- Yana Criel
- Department of Rehabilitation Sciences, Ghent University, Ghent, Belgium.
| | - Emma Depuydt
- Medical Imaging and Signal Processing Group, Department of Electronics and Information Systems, Ghent University, Ghent, Belgium
| | - Marijke Miatton
- Department of Neurology, Ghent University Hospital, Ghent, Belgium
- Department of Head and Skin, Ghent University, Ghent, Belgium
| | - Patrick Santens
- Department of Neurology, Ghent University Hospital, Ghent, Belgium
- Department of Head and Skin, Ghent University, Ghent, Belgium
| | - Pieter van Mierlo
- Medical Imaging and Signal Processing Group, Department of Electronics and Information Systems, Ghent University, Ghent, Belgium
| | - Miet De Letter
- Department of Rehabilitation Sciences, Ghent University, Ghent, Belgium
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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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Molnár H, Marosi C, Becske M, Békési E, Farkas K, Stefanics G, Czigler I, Csukly G. A comparison of visual and acoustic mismatch negativity as potential biomarkers in schizophrenia. Sci Rep 2024; 14:992. [PMID: 38200103 PMCID: PMC10782025 DOI: 10.1038/s41598-023-49983-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Accepted: 12/14/2023] [Indexed: 01/12/2024] Open
Abstract
Mismatch negativity (MMN) is an event-related potential (ERP) component generated when an unexpected deviant stimulus occurs in a pattern of standard stimuli. Several studies showed that the MMN response to both auditory and visual stimuli is attenuated in schizophrenia. While previous studies investigated auditory and visual MMN in different cohorts, here we examined the potential clinical utility of MMN responses to auditory and visual stimuli within the same group of patients. Altogether 39 patients with schizophrenia and 39 healthy controls matched in age, gender, and education were enrolled. We recorded EEG using 64 channels in eight experimental blocks where we presented auditory and visual stimulus sequences. Mismatch responses were obtained by subtracting responses to standard from the physically identical deviant stimuli. We found a significant MMN response to the acoustic stimuli in the control group, whereas no significant mismatch response was observed in the patient group. The group difference was significant for the acoustic stimuli. The 12 vane windmill pattern evoked a significant MMN response in the early time window in the control group but not in the patient group. The 6 vane windmill pattern evoked MMN only in the patient group. However, we found no significant difference between the groups. Furthermore, we found no correlation between the clinical variables and the MMN amplitudes. Our results suggest that predictive processes underlying mismatch generation in patients with schizophrenia may be more affected in the acoustic compared to the visual domain. Acoustic MMN tends to be a more promising biomarker in schizophrenia.
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Affiliation(s)
- Hajnalka Molnár
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Csilla Marosi
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Melinda Becske
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Emese Békési
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Kinga Farkas
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Gábor Stefanics
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - István Czigler
- Institute of Cognitive Neuroscience and Psychology, RCNS, HU-RES, Budapest, Hungary
| | - Gábor Csukly
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary.
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Schlossmacher I, Dilly J, Protmann I, Hofmann D, Dellert T, Roth-Paysen ML, Moeck R, Bruchmann M, Straube T. Differential effects of prediction error and adaptation along the auditory cortical hierarchy during deviance processing. Neuroimage 2022; 259:119445. [DOI: 10.1016/j.neuroimage.2022.119445] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 06/03/2022] [Accepted: 07/01/2022] [Indexed: 11/30/2022] Open
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Fujita Y, Khoo HM, Hirayama M, Kawahara M, Koyama Y, Tarewaki H, Arisawa A, Yanagisawa T, Tani N, Oshino S, Lemieux L, Kishima H. Evaluating the Safety of Simultaneous Intracranial Electroencephalography and Functional Magnetic Resonance Imaging Acquisition Using a 3 Tesla Magnetic Resonance Imaging Scanner. Front Neurosci 2022; 16:921922. [PMID: 35812224 PMCID: PMC9259878 DOI: 10.3389/fnins.2022.921922] [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: 04/16/2022] [Accepted: 05/25/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundThe unsurpassed sensitivity of intracranial electroencephalography (icEEG) and the growing interest in understanding human brain networks and ongoing activities in health and disease have make the simultaneous icEEG and functional magnetic resonance imaging acquisition (icEEG-fMRI) an attractive investigation tool. However, safety remains a crucial consideration, particularly due to the impact of the specific characteristics of icEEG and MRI technologies that were safe when used separately but may risk health when combined. Using a clinical 3-T scanner with body transmit and head-receive coils, we assessed the safety and feasibility of our icEEG-fMRI protocol.MethodsUsing platinum and platinum-iridium grid and depth electrodes implanted in a custom-made acrylic-gel phantom, we assessed safety by focusing on three factors. First, we measured radio frequency (RF)-induced heating of the electrodes during fast spin echo (FSE, as a control) and the three sequences in our icEEG-fMRI protocol. Heating was evaluated with electrodes placed orthogonal or parallel to the static magnetic field. Using the configuration with the greatest heating observed, we then measured the total heating induced in our protocol, which is a continuous 70-min icEEG-fMRI session comprising localizer, echo-planar imaging (EPI), and magnetization-prepared rapid gradient-echo sequences. Second, we measured the gradient switching-induced voltage using configurations mimicking electrode implantation in the frontal and temporal lobes. Third, we assessed the gradient switching-induced electrode movement by direct visual detection and image analyses.ResultsOn average, RF-induced local heating on the icEEG electrode contacts tested were greater in the orthogonal than parallel configuration, with a maximum increase of 0.2°C during EPI and 1.9°C during FSE. The total local heating was below the 1°C safety limit across all contacts tested during the 70-min icEEG-fMRI session. The induced voltage was within the 100-mV safety limit regardless of the configuration. No gradient switching-induced electrode displacement was observed.ConclusionWe provide evidence that the additional health risks associated with heating, neuronal stimulation, or device movement are low when acquiring fMRI at 3 T in the presence of clinical icEEG electrodes under the conditions reported in this study. High specific absorption ratio sequences such as FSE should be avoided to prevent potential inadvertent tissue heating.
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Affiliation(s)
- Yuya Fujita
- Department of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Japan
| | - Hui Ming Khoo
- Department of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Japan
- *Correspondence: Hui Ming Khoo,
| | - Miki Hirayama
- Department of Radiology, Osaka University Hospital, Suita, Japan
| | - Masaaki Kawahara
- Department of Radiology, Osaka University Hospital, Suita, Japan
| | - Yoshihiro Koyama
- Department of Radiology, Osaka University Hospital, Suita, Japan
| | | | - Atsuko Arisawa
- Department of Radiology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Takufumi Yanagisawa
- Department of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Japan
| | - Naoki Tani
- Department of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Japan
| | - Satoru Oshino
- Department of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Japan
| | - Louis Lemieux
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Haruhiko Kishima
- Department of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Japan
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Jalewa J, Todd J, Michie PT, Hodgson DM, Harms L. Do rat auditory event related potentials exhibit human mismatch negativity attributes related to predictive coding? Hear Res 2020; 399:107992. [PMID: 32571607 DOI: 10.1016/j.heares.2020.107992] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Revised: 04/29/2020] [Accepted: 05/04/2020] [Indexed: 01/11/2023]
Abstract
Rodent models play a significant role in understanding disease mechanisms and the screening of new treatments. With regard to psychiatric disorders such as schizophrenia, however, it is difficult to replicate the human symptoms in rodents because these symptoms are often either 'uniquely human' or are only conveyed via self-report. There is a growing interest in rodent mismatch responses (MMRs) as a translatable 'biomarker' for disorders such as schizophrenia. In this review, we will summarize the attributes of human MMN, and discuss the scope of exploring the attributes of human MMN in rodents. Here, we examine how reliably MMRs that are measured in rats mimic human attributes, and present original data examining whether manipulations of stimulus conditions known to modulate human MMN, do the same for rat MMRs. Using surgically-implanted epidural electroencephalographic electrodes and wireless telemetry in freely-moving rats, we observed human-like modulations of MMRs, namely that larger MMRs were elicited to unexpected (deviant) stimuli that a) had a larger change in pitch compared to the expected (standard) stimulus, b) were less frequently presented (lower probability), and c) had no jitter (stable stimulus onset asynchrony) compared to high jitter. Overall, these findings contribute to the mounting evidence for rat MMRs as a good analogue of human MMN, bolstering the development of a novel approach in future to validate the preclinical models based on a translatable biomarker, MMN.
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Affiliation(s)
- Jaishree Jalewa
- School of Psychology, University of Newcastle, Callaghan, New South Wales, Australia
| | - Juanita Todd
- School of Psychology, University of Newcastle, Callaghan, New South Wales, Australia; Priority Research Centre for Brain and Mental Health Research, University of Newcastle, Callaghan, New South Wales, Australia; Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Patricia T Michie
- School of Psychology, University of Newcastle, Callaghan, New South Wales, Australia; Priority Research Centre for Brain and Mental Health Research, University of Newcastle, Callaghan, New South Wales, Australia; Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Deborah M Hodgson
- School of Psychology, University of Newcastle, Callaghan, New South Wales, Australia; Priority Research Centre for Brain and Mental Health Research, University of Newcastle, Callaghan, New South Wales, Australia; Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Lauren Harms
- Priority Research Centre for Brain and Mental Health Research, University of Newcastle, Callaghan, New South Wales, Australia; Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia; School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, New South Wales, Australia.
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