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Wang JB, Hassan U, Bruss JE, Oya H, Uitermarkt BD, Trapp NT, Gander PE, Howard MA, Keller CJ, Boes AD. Effects of transcranial magnetic stimulation on the human brain recorded with intracranial electrocorticography. Mol Psychiatry 2024; 29:1228-1240. [PMID: 38317012 DOI: 10.1038/s41380-024-02405-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 12/19/2023] [Accepted: 01/02/2024] [Indexed: 02/07/2024]
Abstract
Transcranial magnetic stimulation (TMS) is increasingly used as a noninvasive technique for neuromodulation in research and clinical applications, yet its mechanisms are not well understood. Here, we present the neurophysiological effects of TMS using intracranial electrocorticography (iEEG) in neurosurgical patients. We first evaluated safety in a gel-based phantom. We then performed TMS-iEEG in 22 neurosurgical participants with no adverse events. We next evaluated intracranial responses to single pulses of TMS to the dorsolateral prefrontal cortex (dlPFC) (N = 10, 1414 electrodes). We demonstrate that TMS is capable of inducing evoked potentials both locally within the dlPFC and in downstream regions functionally connected to the dlPFC, including the anterior cingulate and insular cortex. These downstream effects were not observed when stimulating other distant brain regions. Intracranial dlPFC electrical stimulation had similar timing and downstream effects as TMS. These findings support the safety and promise of TMS-iEEG in humans to examine local and network-level effects of TMS with higher spatiotemporal resolution than currently available methods.
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Affiliation(s)
- Jeffrey B Wang
- Biophysics Graduate Program, Stanford University Medical Center, Stanford, CA, 94305, USA
- Department of Psychiatry and Behavioral Sciences, Stanford University Medical Center, Stanford, CA, 94305, USA
| | - Umair Hassan
- Department of Psychiatry and Behavioral Sciences, Stanford University Medical Center, Stanford, CA, 94305, USA
- Veterans Affairs Palo Alto Healthcare System, and the Sierra Pacific Mental Illness, Research, Education, and Clinical Center (MIRECC), Palo Alto, CA, 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Joel E Bruss
- Department of Neurology, Carver College of Medicine, University of Iowa, 200 Hawkins Drive, Iowa City, IA, 52242, USA
- Department of Pediatrics, Carver College of Medicine, University of Iowa, 200 Hawkins Drive, Iowa City, IA, 52242, USA
| | - Hiroyuki Oya
- Department of Neurosurgery, Carver College of Medicine, University of Iowa, 200 Hawkins Drive, Iowa City, IA, 52242, USA
| | - Brandt D Uitermarkt
- Department of Pediatrics, Carver College of Medicine, University of Iowa, 200 Hawkins Drive, Iowa City, IA, 52242, USA
| | - Nicholas T Trapp
- Department of Psychiatry, Carver College of Medicine, University of Iowa, 200 Hawkins Drive, Iowa City, IA, 52242, USA
- Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, 52242, USA
| | - Phillip E Gander
- Department of Neurosurgery, Carver College of Medicine, University of Iowa, 200 Hawkins Drive, Iowa City, IA, 52242, USA
- Department of Radiology, Carver College of Medicine, University of Iowa, 200 Hawkins Drive, Iowa City, IA, 52242, USA
| | - Matthew A Howard
- Department of Neurosurgery, Carver College of Medicine, University of Iowa, 200 Hawkins Drive, Iowa City, IA, 52242, USA
| | - Corey J Keller
- Department of Psychiatry and Behavioral Sciences, Stanford University Medical Center, Stanford, CA, 94305, USA
- Veterans Affairs Palo Alto Healthcare System, and the Sierra Pacific Mental Illness, Research, Education, and Clinical Center (MIRECC), Palo Alto, CA, 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Aaron D Boes
- Department of Neurology, Carver College of Medicine, University of Iowa, 200 Hawkins Drive, Iowa City, IA, 52242, USA.
- Department of Pediatrics, Carver College of Medicine, University of Iowa, 200 Hawkins Drive, Iowa City, IA, 52242, USA.
- Department of Psychiatry, Carver College of Medicine, University of Iowa, 200 Hawkins Drive, Iowa City, IA, 52242, USA.
- Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, 52242, USA.
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2
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Orekhova EV, Fadeev KA, Goiaeva DE, Obukhova TS, Ovsiannikova TM, Prokofyev AO, Stroganova TA. Different hemispheric lateralization for periodicity and formant structure of vowels in the auditory cortex and its changes between childhood and adulthood. Cortex 2024; 171:287-307. [PMID: 38061210 DOI: 10.1016/j.cortex.2023.10.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 08/31/2023] [Accepted: 10/30/2023] [Indexed: 02/12/2024]
Abstract
The spectral formant structure and periodicity pitch are the major features that determine the identity of vowels and the characteristics of the speaker. However, very little is known about how the processing of these features in the auditory cortex changes during development. To address this question, we independently manipulated the periodicity and formant structure of vowels while measuring auditory cortex responses using magnetoencephalography (MEG) in children aged 7-12 years and adults. We analyzed the sustained negative shift of source current associated with these vowel properties, which was present in the auditory cortex in both age groups despite differences in the transient components of the auditory response. In adults, the sustained activation associated with formant structure was lateralized to the left hemisphere early in the auditory processing stream requiring neither attention nor semantic mapping. This lateralization was not yet established in children, in whom the right hemisphere contribution to formant processing was strong and decreased during or after puberty. In contrast to the formant structure, periodicity was associated with a greater response in the right hemisphere in both children and adults. These findings suggest that left-lateralization for the automatic processing of vowel formant structure emerges relatively late in ontogenesis and pose a serious challenge to current theories of hemispheric specialization for speech processing.
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Affiliation(s)
- Elena V Orekhova
- Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russian Federation.
| | - Kirill A Fadeev
- Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russian Federation.
| | - Dzerassa E Goiaeva
- Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russian Federation.
| | - Tatiana S Obukhova
- Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russian Federation.
| | - Tatiana M Ovsiannikova
- Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russian Federation.
| | - Andrey O Prokofyev
- Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russian Federation.
| | - Tatiana A Stroganova
- Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russian Federation.
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Berger JI, Gander PE, Kikuchi Y, Petkov CI, Kumar S, Kovach C, Oya H, Kawasaki H, Howard MA, Griffiths TD. Distribution of multiunit pitch responses recorded intracranially from human auditory cortex. Cereb Cortex 2023:7180374. [PMID: 37246155 DOI: 10.1093/cercor/bhad186] [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: 07/19/2022] [Revised: 05/05/2023] [Accepted: 05/06/2023] [Indexed: 05/30/2023] Open
Abstract
The perception of pitch is a fundamental percept, which is mediated by the auditory system, requiring the abstraction of stimulus properties related to the spectro-temporal structure of sound. Despite its importance, there is still debate as to the precise areas responsible for its encoding, which may be due to species differences or differences in the recording measures and choices of stimuli used in previous studies. Moreover, it was unknown whether the human brain contains pitch neurons and how distributed such neurons might be. Here, we present the first study to measure multiunit neural activity in response to pitch stimuli in the auditory cortex of intracranially implanted humans. The stimulus sets were regular-interval noise with a pitch strength that is related to the temporal regularity and a pitch value determined by the repetition rate and harmonic complexes. Specifically, we demonstrate reliable responses to these different pitch-inducing paradigms that are distributed throughout Heschl's gyrus, rather than being localized to a particular region, and this finding was evident regardless of the stimulus presented. These data provide a bridge across animal and human studies and aid our understanding of the processing of a critical percept associated with acoustic stimuli.
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Affiliation(s)
- Joel I Berger
- Department of Neurosurgery, 1800 JPP, 200 Hawkins Drive, University of Iowa, Iowa City, IA 52242, United States
| | - Phillip E Gander
- Department of Neurosurgery, 1800 JPP, 200 Hawkins Drive, University of Iowa, Iowa City, IA 52242, United States
| | - Yukiko Kikuchi
- Biosciences Institute, Newcastle upon Tyne NE2 4HH, United Kingdom
| | - Christopher I Petkov
- Department of Neurosurgery, 1800 JPP, 200 Hawkins Drive, University of Iowa, Iowa City, IA 52242, United States
- Biosciences Institute, Newcastle upon Tyne NE2 4HH, United Kingdom
| | - Sukhbinder Kumar
- Department of Neurosurgery, 1800 JPP, 200 Hawkins Drive, University of Iowa, Iowa City, IA 52242, United States
| | - Christopher Kovach
- Department of Neurosurgery, 1800 JPP, 200 Hawkins Drive, University of Iowa, Iowa City, IA 52242, United States
| | - Hiroyuki Oya
- Department of Neurosurgery, 1800 JPP, 200 Hawkins Drive, University of Iowa, Iowa City, IA 52242, United States
| | - Hiroto Kawasaki
- Department of Neurosurgery, 1800 JPP, 200 Hawkins Drive, University of Iowa, Iowa City, IA 52242, United States
| | - Matthew A Howard
- Department of Neurosurgery, 1800 JPP, 200 Hawkins Drive, University of Iowa, Iowa City, IA 52242, United States
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Basiński K, Quiroga-Martinez DR, Vuust P. Temporal hierarchies in the predictive processing of melody - From pure tones to songs. Neurosci Biobehav Rev 2023; 145:105007. [PMID: 36535375 DOI: 10.1016/j.neubiorev.2022.105007] [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: 08/04/2022] [Revised: 11/30/2022] [Accepted: 12/14/2022] [Indexed: 12/23/2022]
Abstract
Listening to musical melodies is a complex task that engages perceptual and memoryrelated processes. The processes underlying melody cognition happen simultaneously on different timescales, ranging from milliseconds to minutes. Although attempts have been made, research on melody perception is yet to produce a unified framework of how melody processing is achieved in the brain. This may in part be due to the difficulty of integrating concepts such as perception, attention and memory, which pertain to different temporal scales. Recent theories on brain processing, which hold prediction as a fundamental principle, offer potential solutions to this problem and may provide a unifying framework for explaining the neural processes that enable melody perception on multiple temporal levels. In this article, we review empirical evidence for predictive coding on the levels of pitch formation, basic pitch-related auditory patterns,more complex regularity processing extracted from basic patterns and long-term expectations related to musical syntax. We also identify areas that would benefit from further inquiry and suggest future directions in research on musical melody perception.
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Affiliation(s)
- Krzysztof Basiński
- Division of Quality of Life Research, Medical University of Gdańsk, Poland
| | - David Ricardo Quiroga-Martinez
- Helen Wills Neuroscience Institute & Department of Psychology, University of California Berkeley, USA; Center for Music in the Brain, Aarhus University & The Royal Academy of Music, Denmark
| | - Peter Vuust
- Center for Music in the Brain, Aarhus University & The Royal Academy of Music, Denmark
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Taddeo S, Schulz M, Andermann M, Rupp A. Neuromagnetic representation of melodic contour processing in human auditory cortex. Front Hum Neurosci 2022; 16:909159. [PMID: 36393993 PMCID: PMC9644163 DOI: 10.3389/fnhum.2022.909159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 10/05/2022] [Indexed: 11/25/2022] Open
Abstract
The pattern of ups and downs in a sequence with varying pitch can be heard as a melodic contour. Contrary to single pitch, the neural representation of melodic contour information in the auditory cortex is rarely investigated, and it is not clear whether the processing entails a hemispheric asymmetry. The present magnetoencephalography study assessed the neuromagnetic responses of N = 18 normal-hearing adults to four-note sequences with fixed vs. varying pitch that were presented either monaurally or diotically; data were analyzed using minimum-norm reconstructions. The first note of the sequences elicited prominent transient activity in posterior auditory regions (Planum temporale), especially contralateral to the ear of entry. In contrast, the response to the subsequent notes originated from more anterior areas (Planum polare) and was larger for melodic contours than for fixed pitch sequences, independent from the ear of entry and without hemispheric asymmetry. Together, the results point to a gradient in the early cortical processing of melodic contours, both in spatial and functional terms, where posterior auditory activity reflects the onset of a pitch sequence and anterior activity reflects its subsequent notes, including the difference between sequences with fixed pitch and melodic contours.
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Affiliation(s)
- Sabrina Taddeo
- Department of Otolaryngology, Head and Neck Surgery, University Medical Center of Tübingen, Tübingen, Germany
| | - Martin Schulz
- Section of Biomagnetism, Department of Neurology, Heidelberg University Hospital, Heidelberg, Germany
| | - Martin Andermann
- Section of Biomagnetism, Department of Neurology, Heidelberg University Hospital, Heidelberg, Germany
| | - André Rupp
- Section of Biomagnetism, Department of Neurology, Heidelberg University Hospital, Heidelberg, Germany
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Zhang H, Tao Y, Xu H, Zou S, Deng F, Huang L, Zhang H, Wang X, Tang X, Dong Z, Wang Y, Fu X, Yin L. Associations between childhood chronic stress and dynamic functional connectivity in drug-naïve, first-episode adolescent MDD. J Affect Disord 2022; 299:85-92. [PMID: 34822920 DOI: 10.1016/j.jad.2021.11.050] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 11/14/2021] [Accepted: 11/16/2021] [Indexed: 02/08/2023]
Abstract
BACKGROUND We explored the associations between chronic stress and dynamic working patterns of the whole brain using resting state MRI data in drug-naïve, first-episode adolescents with major depressive disorder (MDD). METHODS We compared dynamic functional connectivity (dyn-FC) and screen out networks with difference in whole brain between 45 healthy controls (HC) and 60 adolescent MDD patients using dynamic independent components analysis. In each of these networks with difference between groups, hub brain regions were selected as functionally connected to more than 30 brain regions at the same time. Then we extracted the dyn-FC coefficients of each hub brain region with other brain regions in each component at different time points and calculated the average value of the entire scan time. Finally, we explored correlations between these average values of the entire scan time and scores on the Childhood Chronic Stress Questionnaire (CCSQ). RESULTS We found three networks as well as some hub brain regions with different dyn-FC patterns between adolescent MDD and HC. Scores on the CCSQ were found to correlate with dynamic FC between hub brain areas and certain other brain areas in MDD patients. LIMITATIONS our cross-sectional study design does not allow us to speculate about causality between chronic stress and depression. Prospective cohort studies should explore in detail how the changes in dynamic FC appear and evolve during MDD. CONCLUSIONS Chronic stress is related with the brain dynamic working patterns in adolescent MDD.
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Affiliation(s)
- Hang Zhang
- Department of Psychiatry, West China Hospital of Sichuan University, No. 28 Dianxin South Street, Chengdu, Sichuan 610041, China
| | - Yuanmei Tao
- Department of Psychiatry, West China Hospital of Sichuan University, No. 28 Dianxin South Street, Chengdu, Sichuan 610041, China
| | - Hanmei Xu
- Department of Psychiatry, West China Hospital of Sichuan University, No. 28 Dianxin South Street, Chengdu, Sichuan 610041, China
| | - Shoukang Zou
- Department of Psychiatry, West China Hospital of Sichuan University, No. 28 Dianxin South Street, Chengdu, Sichuan 610041, China
| | - Fang Deng
- Department of Psychiatry, West China Hospital of Sichuan University, No. 28 Dianxin South Street, Chengdu, Sichuan 610041, China
| | - Lijuan Huang
- Department of Psychiatry, West China Hospital of Sichuan University, No. 28 Dianxin South Street, Chengdu, Sichuan 610041, China
| | - Hong Zhang
- Department of Psychiatry, West China Hospital of Sichuan University, No. 28 Dianxin South Street, Chengdu, Sichuan 610041, China
| | - Xiaolan Wang
- Department of Psychiatry, West China Hospital of Sichuan University, No. 28 Dianxin South Street, Chengdu, Sichuan 610041, China
| | - Xiaowei Tang
- Department of Psychiatry, West China Hospital of Sichuan University, No. 28 Dianxin South Street, Chengdu, Sichuan 610041, China
| | - Zaiquan Dong
- Department of Psychiatry, West China Hospital of Sichuan University, No. 28 Dianxin South Street, Chengdu, Sichuan 610041, China
| | - Yanping Wang
- Department of Psychiatry, West China Hospital of Sichuan University, No. 28 Dianxin South Street, Chengdu, Sichuan 610041, China
| | - Xia Fu
- Department of Psychiatry, West China Hospital of Sichuan University, No. 28 Dianxin South Street, Chengdu, Sichuan 610041, China
| | - Li Yin
- Department of Psychiatry, West China Hospital of Sichuan University, No. 28 Dianxin South Street, Chengdu, Sichuan 610041, China; Frontier Science Center for Disease-related Molecular Networks, Chengdu, Sichuan 610041, China; Sichuan Clinical Medical Research Center for Mental Disorders, Chengdu, Sichuan 610041, China.
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7
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MEG correlates of temporal regularity relevant to pitch perception in human auditory cortex. Neuroimage 2022; 249:118879. [PMID: 34999204 PMCID: PMC8883111 DOI: 10.1016/j.neuroimage.2022.118879] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 12/01/2021] [Accepted: 01/05/2022] [Indexed: 11/20/2022] Open
Abstract
We recorded neural responses in human participants to three types of pitch-evoking regular stimuli at rates below and above the lower limit of pitch using magnetoencephalography (MEG). These bandpass filtered (1–4 kHz) stimuli were harmonic complex tones (HC), click trains (CT), and regular interval noise (RIN). Trials consisted of noise-regular-noise (NRN) or regular-noise-regular (RNR) segments in which the repetition rate (or fundamental frequency F0) was either above (250 Hz) or below (20 Hz) the lower limit of pitch. Neural activation was estimated and compared at the senor and source levels. The pitch-relevant regular stimuli (F0 = 250 Hz) were all associated with marked evoked responses at around 140 ms after noise-to-regular transitions at both sensor and source levels. In particular, greater evoked responses to pitch-relevant stimuli than pitch-irrelevant stimuli (F0 = 20 Hz) were localized along the Heschl's sulcus around 140 ms. The regularity-onset responses for RIN were much weaker than for the other types of regular stimuli (HC, CT). This effect was localized over planum temporale, planum polare, and lateral Heschl's gyrus. Importantly, the effect of pitch did not interact with the stimulus type. That is, we did not find evidence to support different responses for different types of regular stimuli from the spatiotemporal cluster of the pitch effect (∼140 ms). The current data demonstrate cortical sensitivity to temporal regularity relevant to pitch that is consistently present across different pitch-relevant stimuli in the Heschl's sulcus between Heschl's gyrus and planum temporale, both of which have been identified as a “pitch center” based on different modalities.
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8
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Quiroga-Martinez DR, Hansen NC, Højlund A, Pearce M, Brattico E, Holmes E, Friston K, Vuust P. Musicianship and melodic predictability enhance neural gain in auditory cortex during pitch deviance detection. Hum Brain Mapp 2021; 42:5595-5608. [PMID: 34459062 PMCID: PMC8559476 DOI: 10.1002/hbm.25638] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 07/22/2021] [Accepted: 08/07/2021] [Indexed: 11/10/2022] Open
Abstract
When listening to music, pitch deviations are more salient and elicit stronger prediction error responses when the melodic context is predictable and when the listener is a musician. Yet, the neuronal dynamics and changes in connectivity underlying such effects remain unclear. Here, we employed dynamic causal modeling (DCM) to investigate whether the magnetic mismatch negativity response (MMNm)-and its modulation by context predictability and musical expertise-are associated with enhanced neural gain of auditory areas, as a plausible mechanism for encoding precision-weighted prediction errors. Using Bayesian model comparison, we asked whether models with intrinsic connections within primary auditory cortex (A1) and superior temporal gyrus (STG)-typically related to gain control-or extrinsic connections between A1 and STG-typically related to propagation of prediction and error signals-better explained magnetoencephalography responses. We found that, compared to regular sounds, out-of-tune pitch deviations were associated with lower intrinsic (inhibitory) connectivity in A1 and STG, and lower backward (inhibitory) connectivity from STG to A1, consistent with disinhibition and enhanced neural gain in these auditory areas. More predictable melodies were associated with disinhibition in right A1, while musicianship was associated with disinhibition in left A1 and reduced connectivity from STG to left A1. These results indicate that musicianship and melodic predictability, as well as pitch deviations themselves, enhance neural gain in auditory cortex during deviance detection. Our findings are consistent with predictive processing theories suggesting that precise and informative error signals are selected by the brain for subsequent hierarchical processing.
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Affiliation(s)
- David R Quiroga-Martinez
- Center for Music in the Brain, Aarhus University & Royal Academy of Music Aarhus/Aalborg, Aarhus, Denmark
| | - Niels Christian Hansen
- Center for Music in the Brain, Aarhus University & Royal Academy of Music Aarhus/Aalborg, Aarhus, Denmark.,Aarhus Institute of Advanced Studies, Aarhus University, Aarhus, Denmark
| | - Andreas Højlund
- Center for Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark
| | - Marcus Pearce
- School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK
| | - Elvira Brattico
- Center for Music in the Brain, Aarhus University & Royal Academy of Music Aarhus/Aalborg, Aarhus, Denmark.,Department of Education, Psychology and Communication, University of Bari Aldo Moro, Bari, Italy
| | - Emma Holmes
- The Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Karl Friston
- The Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Peter Vuust
- Center for Music in the Brain, Aarhus University & Royal Academy of Music Aarhus/Aalborg, Aarhus, Denmark
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Scullen T, Teja N, Song SH, Couldwell M, Carr C, Mathkour M, Lee DJ, Tubbs RS, Dallapiazza RF. Use of stereoelectroencephalography beyond epilepsy: a systematic review. World Neurosurg 2021; 155:96-108. [PMID: 34217862 DOI: 10.1016/j.wneu.2021.06.105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Revised: 06/23/2021] [Accepted: 06/24/2021] [Indexed: 11/17/2022]
Affiliation(s)
- Tyler Scullen
- Tulane University School of Medicine, Tulane University, New Orleans, Louisiana, USA
| | - Nikhil Teja
- Department of Psychiatry, Dartmouth-Hitchcock Medical Center, Hanover, New Hampshire, USA
| | - Seo Ho Song
- Geisel School of Medicine, Dartmouth University, Hanover, New Hampshire, USA
| | - Mitchell Couldwell
- Tulane University School of Medicine, Tulane University, New Orleans, Louisiana, USA
| | - Chris Carr
- Tulane University School of Medicine, Tulane University, New Orleans, Louisiana, USA
| | - Mansour Mathkour
- Tulane University School of Medicine, Tulane University, New Orleans, Louisiana, USA
| | - Darrin J Lee
- Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - R Shane Tubbs
- Tulane University School of Medicine, Tulane University, New Orleans, Louisiana, USA; Department of Structural & Cellular Biology, Tulane University, New Orleans, Louisiana, USA; Department of Anatomical Sciences, St. George's University, Grenada
| | - Robert F Dallapiazza
- Tulane University School of Medicine, Tulane University, New Orleans, Louisiana, USA.
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10
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Holmes E, Johnsrude IS. Speech-evoked brain activity is more robust to competing speech when it is spoken by someone familiar. Neuroimage 2021; 237:118107. [PMID: 33933598 DOI: 10.1016/j.neuroimage.2021.118107] [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: 10/14/2020] [Revised: 04/19/2021] [Accepted: 04/25/2021] [Indexed: 10/21/2022] Open
Abstract
When speech is masked by competing sound, people are better at understanding what is said if the talker is familiar compared to unfamiliar. The benefit is robust, but how does processing of familiar voices facilitate intelligibility? We combined high-resolution fMRI with representational similarity analysis to quantify the difference in distributed activity between clear and masked speech. We demonstrate that brain representations of spoken sentences are less affected by a competing sentence when they are spoken by a friend or partner than by someone unfamiliar-effectively, showing a cortical signal-to-noise ratio (SNR) enhancement for familiar voices. This effect correlated with the familiar-voice intelligibility benefit. We functionally parcellated auditory cortex, and found that the most prominent familiar-voice advantage was manifest along the posterior superior and middle temporal gyri. Overall, our results demonstrate that experience-driven improvements in intelligibility are associated with enhanced multivariate pattern activity in posterior temporal cortex.
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Affiliation(s)
- Emma Holmes
- The Brain and Mind Institute, University of Western Ontario, London, Ontario, N6A 3K7, Canada.
| | - Ingrid S Johnsrude
- The Brain and Mind Institute, University of Western Ontario, London, Ontario, N6A 3K7, Canada; School of Communication Sciences and Disorders, University of Western Ontario, London, Ontario, London, N6G 1H1, Canada
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11
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Kikuchi Y, Kumar S, Baumann S, Overath T, Gander PE, Sedley W, Patterson RD, Petkov CI, Griffiths TD. The distribution and nature of responses to broadband sounds associated with pitch in the macaque auditory cortex. Cortex 2019; 120:340-352. [PMID: 31401401 DOI: 10.1016/j.cortex.2019.07.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Revised: 03/25/2019] [Accepted: 07/10/2019] [Indexed: 11/30/2022]
Abstract
The organisation of pitch-perception mechanisms in the primate cortex is controversial, in that divergent results have been obtained, ranging from a single circumscribed 'pitch centre' to systems widely distributed across auditory cortex. Possible reasons for such discrepancies include different species, recording techniques, pitch stimuli, sampling of auditory fields, and the neural metrics recorded. In the present study, we sought to bridge some of these divisions by examining activity related to pitch in both neurons and neuronal ensembles within the auditory cortex of the rhesus macaque, a primate species with similar pitch perception and auditory cortical organisation to humans. We demonstrate similar responses, in primary and non-primary auditory cortex, to two different types of broadband pitch above the macaque lower limit in both neurons and local field potential (LFP) gamma oscillations. The majority of broadband pitch responses in neurons and LFP sites did not show equivalent tuning for sine tones.
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Affiliation(s)
- Yukiko Kikuchi
- Institute of Neuroscience, Newcastle University Medical School, Newcastle upon Tyne, UK; Centre for Behaviour and Evolution, Newcastle University, Newcastle upon Tyne, UK.
| | - Sukhbinder Kumar
- Institute of Neuroscience, Newcastle University Medical School, Newcastle upon Tyne, UK; Wellcome Trust Centre for Neuroimaging, University College London, UK
| | - Simon Baumann
- Institute of Neuroscience, Newcastle University Medical School, Newcastle upon Tyne, UK
| | - Tobias Overath
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | | | - William Sedley
- Institute of Neuroscience, Newcastle University Medical School, Newcastle upon Tyne, UK
| | - Roy D Patterson
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - Christopher I Petkov
- Institute of Neuroscience, Newcastle University Medical School, Newcastle upon Tyne, UK; Centre for Behaviour and Evolution, Newcastle University, Newcastle upon Tyne, UK
| | - Timothy D Griffiths
- Institute of Neuroscience, Newcastle University Medical School, Newcastle upon Tyne, UK; Wellcome Trust Centre for Neuroimaging, University College London, UK; Department of Neurosurgery, University of Iowa, Iowa City, USA.
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