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Christison-Lagay KL, Khalaf A, Freedman NC, Micek C, Kronemer SI, Gusso MM, Kim L, Forman S, Ding J, Aksen M, Abdel-Aty A, Kwon H, Markowitz N, Yeagle E, Espinal E, Herrero J, Bickel S, Young J, Mehta A, Wu K, Gerrard J, Damisah E, Spencer D, Blumenfeld H. The neural activity of auditory conscious perception. Neuroimage 2025; 308:121041. [PMID: 39832539 DOI: 10.1016/j.neuroimage.2025.121041] [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: 10/11/2024] [Revised: 01/10/2025] [Accepted: 01/17/2025] [Indexed: 01/22/2025] Open
Abstract
Although recent work has made headway in understanding the neural temporospatial dynamics of conscious perception, much of that work has focused on visual paradigms. To determine whether there are shared mechanisms for perceptual consciousness across sensory modalities, here we test within the auditory domain. Participants completed an auditory threshold task while undergoing intracranial electroencephalography. Recordings from >2,800 grey matter electrodes were analyzed for broadband gamma power (a range which reflects local neural activity). For perceived trials, we find nearly simultaneous activity in early auditory regions, the right caudal middle frontal gyrus, and the non-auditory thalamus; followed by a wave of activity that sweeps through auditory association regions into parietal and frontal cortices. For not perceived trials, significant activity is restricted to early auditory regions. These findings show the cortical and subcortical networks involved in auditory perception are similar to those observed with vision, suggesting shared mechanisms for conscious perception.
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Affiliation(s)
| | - Aya Khalaf
- Department of Neurology, Yale University, New Haven, CT 06520, USA
| | - Noah C Freedman
- Department of Neurology, Yale University, New Haven, CT 06520, USA
| | | | - Sharif I Kronemer
- Department of Neurology, Yale University, New Haven, CT 06520, USA; Interdepartmental Neuroscience Program, Yale University, New Haven, CT 06520, USA
| | - Mariana M Gusso
- Department of Neurology, Yale University, New Haven, CT 06520, USA
| | - Lauren Kim
- Department of Neurology, Yale University, New Haven, CT 06520, USA
| | - Sarit Forman
- Department of Neurology, Yale University, New Haven, CT 06520, USA
| | - Julia Ding
- Department of Neurology, Yale University, New Haven, CT 06520, USA
| | - Mark Aksen
- Department of Neurology, Yale University, New Haven, CT 06520, USA
| | - Ahmad Abdel-Aty
- Department of Neurology, Yale University, New Haven, CT 06520, USA
| | - Hunki Kwon
- Department of Neurology, Yale University, New Haven, CT 06520, USA
| | - Noah Markowitz
- Feinstein Institute for Medical Research, Hofstra Northwell Sch. of Med., Manhasset, NY 11030, USA
| | - Erin Yeagle
- Feinstein Institute for Medical Research, Hofstra Northwell Sch. of Med., Manhasset, NY 11030, USA
| | - Elizabeth Espinal
- Feinstein Institute for Medical Research, Hofstra Northwell Sch. of Med., Manhasset, NY 11030, USA
| | - Jose Herrero
- Feinstein Institute for Medical Research, Hofstra Northwell Sch. of Med., Manhasset, NY 11030, USA
| | - Stephan Bickel
- Department of Neurology, Hofstra Northwell School of Medicine, Manhasset, NY 11030, USA; Department of Neurosurgery, Hofstra Northwell School of Medicine, Manhasset, NY 11030, USA
| | - James Young
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ashesh Mehta
- Department of Neurosurgery, Hofstra Northwell School of Medicine, Manhasset, NY 11030, USA
| | - Kun Wu
- Department of Neurosurgery, Yale University, New Haven CT 06520, USA
| | - Jason Gerrard
- Department of Neurosurgery, Yale University, New Haven CT 06520, USA
| | - Eyiyemisi Damisah
- Department of Neurosurgery, Yale University, New Haven CT 06520, USA
| | - Dennis Spencer
- Department of Neurosurgery, Yale University, New Haven CT 06520, USA
| | - Hal Blumenfeld
- Department of Neurology, Yale University, New Haven, CT 06520, USA; Interdepartmental Neuroscience Program, Yale University, New Haven, CT 06520, USA; Department of Neurology, Hofstra Northwell School of Medicine, Manhasset, NY 11030, USA; Department of Neuroscience, Yale University, New Haven, CT 06520, USA.
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Herman WX, Smith RE, Kronemer SI, Watsky RE, Chen WC, Gober LM, Touloumes GJ, Khosla M, Raja A, Horien CL, Morse EC, Botta KL, Hirsch LJ, Alkawadri R, Gerrard JL, Spencer DD, Blumenfeld H. A Switch and Wave of Neuronal Activity in the Cerebral Cortex During the First Second of Conscious Perception. Cereb Cortex 2020; 29:461-474. [PMID: 29194517 DOI: 10.1093/cercor/bhx327] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2017] [Indexed: 12/17/2022] Open
Abstract
Conscious perception occurs within less than 1 s. To study events on this time scale we used direct electrical recordings from the human cerebral cortex during a conscious visual perception task. Faces were presented at individually titrated visual threshold for 9 subjects while measuring broadband 40-115 Hz gamma power in a total of 1621 intracranial electrodes widely distributed in both hemispheres. Surface maps and k-means clustering analysis showed initial activation of visual cortex for both perceived and non-perceived stimuli. However, only stimuli reported as perceived then elicited a forward-sweeping wave of activity throughout the cerebral cortex accompanied by large-scale network switching. Specifically, a monophasic wave of broadband gamma activation moves through bilateral association cortex at a rate of approximately 150 mm/s and eventually reenters visual cortex for perceived but not for non-perceived stimuli. Meanwhile, the default mode network and the initial visual cortex and higher association cortex networks are switched off for the duration of conscious stimulus processing. Based on these findings, we propose a new "switch-and-wave" model for the processing of consciously perceived stimuli. These findings are important for understanding normal conscious perception and may also shed light on its vulnerability to disruption by brain disorders.
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Affiliation(s)
- Wendy X Herman
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, USA
| | - Rachel E Smith
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, USA
| | - Sharif I Kronemer
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, USA
| | - Rebecca E Watsky
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, USA
| | - William C Chen
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, USA
| | - Leah M Gober
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, USA
| | - George J Touloumes
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, USA
| | - Meenakshi Khosla
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, USA
| | - Anusha Raja
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, USA
| | - Corey L Horien
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, USA
| | - Elliot C Morse
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, USA
| | - Katherine L Botta
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, USA
| | - Lawrence J Hirsch
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, USA
| | - Rafeed Alkawadri
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, USA
| | - Jason L Gerrard
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, USA
| | - Dennis D Spencer
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, USA
| | - Hal Blumenfeld
- Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, USA
- Department of Neurosurgery, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, USA
- Department of Neuroscience, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, USA
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Yin J, Gao Z, Jin X, Ding X, Liang J, Shen M. The neural mechanisms of percept-memory comparison in visual working memory. Biol Psychol 2012; 90:71-9. [PMID: 22410263 DOI: 10.1016/j.biopsycho.2012.02.023] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2011] [Revised: 02/17/2012] [Accepted: 02/24/2012] [Indexed: 11/18/2022]
Abstract
Researchers have revealed that comparing the perceptual input with the representations stored in visual working memory initiates a rapid attention-shift, which is predominantly triggered by the relevant-feature change. The comprehension of the change contents further necessitates a follow-up comparison that contrasts all the object features regardless of the task relevancy. However, whether such a distinct stage exists and how the process is carried on need further verification. We explored this issue by investigating the underlying neural mechanisms of the percept-memory comparison. By recording EEG, we found that both the task-relevant and -irrelevant feature changes elicited significantly more negative anterior N2 waves (230-340ms) rooting in the anterior cingulate cortex (ACC), and meanwhile activated the frontal theta (5-8Hz, 250-550ms). These results suggest that a distinct comparison stage does exist, which is supported by the anterior N2, ACC and frontal theta.
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Affiliation(s)
- Jun Yin
- Department of Psychology and Behavioral Sciences, Zhejiang University, PR China
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