{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"institution":[{"name":"bioRxiv"}],"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T06:01:30Z","timestamp":1782280890388,"version":"3.54.5"},"posted":{"date-parts":[[2025,5,5]]},"group-title":"Neuroscience","reference-count":98,"publisher":"openRxiv","license":[{"start":{"date-parts":[[2025,5,5]],"date-time":"2025-05-05T00:00:00Z","timestamp":1746403200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"National Institute of Health","award":["K99DC022305"],"award-info":[{"award-number":["K99DC022305"]}]},{"name":"National Institute of Health","award":["R011DC016915"],"award-info":[{"award-number":["R011DC016915"]}]},{"name":"National Institute of Health","award":["R01DC016765"],"award-info":[{"award-number":["R01DC016765"]}]},{"name":"National Institute of Health","award":["R01DC017991"],"award-info":[{"award-number":["R01DC017991"]}]},{"name":"National Institute of Health","award":["S10OD023637"],"award-info":[{"award-number":["S10OD023637"]}]},{"name":"National Institute of Health","award":["R01DC016765"],"award-info":[{"award-number":["R01DC016765"]}]},{"DOI":"10.13039\/501100000024","name":"Canadian Institutes of Health Research","doi-asserted-by":"crossref","award":["MFE-171291"],"award-info":[{"award-number":["MFE-171291"]}],"id":[{"id":"10.13039\/501100000024","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100031910","name":"Changping Laboratory","doi-asserted-by":"crossref","award":["2021B-01-01"],"award-info":[{"award-number":["2021B-01-01"]}],"id":[{"id":"10.13039\/100031910","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"crossref","award":["2022M720529"],"award-info":[{"award-number":["2022M720529"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"accepted":{"date-parts":[[2025,5,5]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                <jats:p>Determining the functional organization of the auditory cortex (AC) has been difficult with conventional task-based approaches due to the broad responsiveness of auditory subregions to various acoustic properties. Moreover, most studies have investigated functional organization of AC with static methods, although brain has shown to be organized into dynamic networks. Here, we investigated dynamically varying coactivation patterns of the local networks in the auditory cortex (AC) determined from 7T fMRI data with a novel individualized network-based algorithm. An eight-pattern solution was selected for closer examination based on its high reproducibility of the occurrence rates (r=0.86) and the spatial topography (r=0.79) between sessions. Dynamic AC patterns successfully captured interindividual variability, as indicated by significantly higher variability between than within individuals for the AC pattern occurrence rates and spatial topographies. The coactivation patterns shared similarities between resting-state and auditory-task data, as indicated by the group-level similarity of 0.84 and individual-level similarity of 0.71 in the spatial topographies. Furthermore, the occurrence rates of AC patterns identified in the task data, using pattern templates derived from resting-state data, correlated with specific task contrast regressors. Our results indicate that the AC function can be characterized by a set of dynamically varying coactivation patterns that are consistently observed during resting state and auditory stimulation, and that get synchronized with auditory input. These findings enhance our understanding of the relationship between spontaneous and stimulus-driven activity in the AC and support the development of more time-efficient paradigms for studying its functional organization.<\/jats:p>","DOI":"10.1101\/2025.05.04.651766","type":"posted-content","created":{"date-parts":[[2025,5,5]],"date-time":"2025-05-05T10:10:12Z","timestamp":1746439812000},"source":"Crossref","is-referenced-by-count":0,"title":["Function of the auditory cortex characterized by its intrinsic dynamic coactivation patterns estimated in individuals"],"prefix":"10.64898","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0322-4347","authenticated-orcid":false,"given":"M.","family":"Hakonen","sequence":"first","affiliation":[{"name":"Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital Charlestown, MA, USA"},{"name":"Department of Radiology, Harvard Medical School, Boston, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2210-2385","authenticated-orcid":false,"given":"K.","family":"Lankinen","sequence":"additional","affiliation":[{"name":"Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital Charlestown, MA, USA"},{"name":"Department of Radiology, Harvard Medical School, Boston, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3667-8908","authenticated-orcid":false,"given":"P.","family":"Kotlarz","sequence":"additional","affiliation":[{"name":"Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital Charlestown, MA, USA"},{"name":"Department of Radiology, Harvard Medical School, Boston, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1348-1179","authenticated-orcid":false,"given":"J. R.","family":"Polimeni","sequence":"additional","affiliation":[{"name":"Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital Charlestown, MA, USA"},{"name":"Department of Radiology, Harvard Medical School, Boston, MA, USA"},{"name":"Harvard-MIT Program in Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA"},{"name":"Richard M. Lucas Center for Imaging, Department of Radiology, Stanford University, Stanford, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1751-2283","authenticated-orcid":false,"given":"T.","family":"Turpin","sequence":"additional","affiliation":[{"name":"Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital Charlestown, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7885-4546","authenticated-orcid":false,"given":"J.","family":"Ren","sequence":"additional","affiliation":[{"name":"Division of Brain Sciences, Changping Laboratory, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"D.","family":"Wang","sequence":"additional","affiliation":[{"name":"Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital Charlestown, MA, USA"},{"name":"Department of Radiology, Harvard Medical School, Boston, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7233-1509","authenticated-orcid":false,"given":"H.","family":"Liu","sequence":"additional","affiliation":[{"name":"Division of Brain Sciences, Changping Laboratory, Beijing, China"},{"name":"Biomedical Pioneering Innovation Center (BIOPIC), Peking University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9058-8669","authenticated-orcid":false,"given":"J.","family":"Ahveninen","sequence":"additional","affiliation":[{"name":"Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital Charlestown, MA, USA"},{"name":"Department of Radiology, Harvard Medical School, Boston, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"54368","reference":[{"key":"2026041120353898000_2025.05.04.651766v1.1","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.4755-08.2009"},{"key":"2026041120353898000_2025.05.04.651766v1.2","doi-asserted-by":"publisher","DOI":"10.1152\/jn.00483.2012"},{"key":"2026041120353898000_2025.05.04.651766v1.3","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.0260-14.2014"},{"key":"2026041120353898000_2025.05.04.651766v1.4","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.5306-12.2013"},{"key":"2026041120353898000_2025.05.04.651766v1.5","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2015.11.035"},{"key":"2026041120353898000_2025.05.04.651766v1.6","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2017.03.063"},{"key":"2026041120353898000_2025.05.04.651766v1.7","doi-asserted-by":"publisher","DOI":"10.1038\/nn.4135"},{"key":"2026041120353898000_2025.05.04.651766v1.8","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1113148109"},{"key":"2026041120353898000_2025.05.04.651766v1.9","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhab101"},{"key":"2026041120353898000_2025.05.04.651766v1.10","doi-asserted-by":"publisher","DOI":"10.1176\/appi.ajp.2020.19060647"},{"key":"2026041120353898000_2025.05.04.651766v1.11","doi-asserted-by":"crossref","unstructured":"W. F. Z. Yang et al., Resting functional connectivity in the semantic appraisal network predicts accuracy of emotion identification. Neuroimage Clin 31, 102755 (2021).","DOI":"10.1016\/j.nicl.2021.102755"},{"key":"2026041120353898000_2025.05.04.651766v1.12","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1912226117"},{"key":"2026041120353898000_2025.05.04.651766v1.13","doi-asserted-by":"publisher","DOI":"10.1007\/s00429-022-02519-5"},{"key":"2026041120353898000_2025.05.04.651766v1.14","doi-asserted-by":"crossref","unstructured":"G. H. Weissberger et al., Functional Connectivity Correlates of Perceived Financial Exploitation in Older Adults. Front Aging Neurosci 12, 583433 (2020).","DOI":"10.3389\/fnagi.2020.583433"},{"key":"2026041120353898000_2025.05.04.651766v1.15","doi-asserted-by":"crossref","unstructured":"L. Lan et al., Specific brain network predictors of interventions with different mechanisms for tinnitus patients. EBioMedicine 76, 103862 (2022).","DOI":"10.1016\/j.ebiom.2022.103862"},{"key":"2026041120353898000_2025.05.04.651766v1.16","doi-asserted-by":"publisher","DOI":"10.1101\/2024.04.19.24305354"},{"key":"2026041120353898000_2025.05.04.651766v1.17","doi-asserted-by":"crossref","unstructured":"C. Meinke , U. Lueken , H. Walter , K. Hilbert , Predicting treatment outcome based on resting-state functional connectivity in internalizing mental disorders: A systematic review and meta-analysis. Neurosci Biobehav Rev 160, 105640 (2024).","DOI":"10.1016\/j.neubiorev.2024.105640"},{"key":"2026041120353898000_2025.05.04.651766v1.18","doi-asserted-by":"publisher","DOI":"10.1101\/2024.01.20.576475"},{"key":"2026041120353898000_2025.05.04.651766v1.19","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhaa366"},{"key":"2026041120353898000_2025.05.04.651766v1.20","doi-asserted-by":"crossref","unstructured":"J. Luo , P. Qin , Q. Bi , K. Wu , G. Gong , Individual variability in functional connectivity of human auditory cortex. Cereb Cortex 34 (2024).","DOI":"10.1093\/cercor\/bhae007"},{"key":"2026041120353898000_2025.05.04.651766v1.21","doi-asserted-by":"publisher","DOI":"10.1016\/j.cortex.2020.04.022"},{"key":"2026041120353898000_2025.05.04.651766v1.22","doi-asserted-by":"crossref","unstructured":"K. C. Wilson , M. Kornisch , T. Ikuta , Disrupted functional connectivity of the primary auditory cortex in autism. Psychiatry Res Neuroimaging 324, 111490 (2022).","DOI":"10.1016\/j.pscychresns.2022.111490"},{"key":"2026041120353898000_2025.05.04.651766v1.23","doi-asserted-by":"publisher","DOI":"10.1007\/s00062-022-01170-1"},{"key":"2026041120353898000_2025.05.04.651766v1.24","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0611404104"},{"key":"2026041120353898000_2025.05.04.651766v1.25","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0708965105"},{"key":"2026041120353898000_2025.05.04.651766v1.26","doi-asserted-by":"publisher","DOI":"10.1103\/RevModPhys.78.1213"},{"key":"2026041120353898000_2025.05.04.651766v1.27","doi-asserted-by":"publisher","DOI":"10.1016\/S1364-6613(00)01564-3"},{"key":"2026041120353898000_2025.05.04.651766v1.28","doi-asserted-by":"publisher","DOI":"10.1038\/nrn2961"},{"key":"2026041120353898000_2025.05.04.651766v1.29","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(00)00066-6"},{"key":"2026041120353898000_2025.05.04.651766v1.30","doi-asserted-by":"publisher","DOI":"10.1016\/j.pneurobio.2008.09.014"},{"key":"2026041120353898000_2025.05.04.651766v1.31","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2018.01.041"},{"key":"2026041120353898000_2025.05.04.651766v1.32","doi-asserted-by":"publisher","DOI":"10.1162\/netn_a_00163"},{"key":"2026041120353898000_2025.05.04.651766v1.33","doi-asserted-by":"crossref","unstructured":"S. P. Zhang et al., Frequency dependent whole-brain coactivation patterns analysis in Alzheimer\u2019s disease. Front Neurosci 17, 1198839 (2023).","DOI":"10.3389\/fnins.2023.1198839"},{"key":"2026041120353898000_2025.05.04.651766v1.34","doi-asserted-by":"publisher","DOI":"10.1007\/s00429-023-02689-w"},{"key":"2026041120353898000_2025.05.04.651766v1.35","doi-asserted-by":"crossref","unstructured":"A. F. Khan , F. Zhang , G. Shou , H. Yuan , L. Ding , Transient brain-wide coactivations and structured transitions revealed in hemodynamic imaging data. Neuroimage 260, 119460 (2022).","DOI":"10.1016\/j.neuroimage.2022.119460"},{"key":"2026041120353898000_2025.05.04.651766v1.36","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2415508122"},{"key":"2026041120353898000_2025.05.04.651766v1.37","doi-asserted-by":"crossref","unstructured":"X. Peng et al., Robust dynamic brain coactivation states estimated in individuals. Science Advances 9, eabq8566 (2023).","DOI":"10.1126\/sciadv.abq8566"},{"key":"2026041120353898000_2025.05.04.651766v1.38","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2012.02.018"},{"key":"2026041120353898000_2025.05.04.651766v1.39","doi-asserted-by":"publisher","DOI":"10.1016\/j.mri.2003.08.027"},{"key":"2026041120353898000_2025.05.04.651766v1.40","doi-asserted-by":"publisher","DOI":"10.1016\/S0166-2236(02)00039-5"},{"key":"2026041120353898000_2025.05.04.651766v1.41","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.89.13.5951"},{"key":"2026041120353898000_2025.05.04.651766v1.42","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2009.05.051"},{"key":"2026041120353898000_2025.05.04.651766v1.43","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-0193(1999)8:4<272::AID-HBM10>3.0.CO;2-4"},{"key":"2026041120353898000_2025.05.04.651766v1.44","doi-asserted-by":"crossref","unstructured":"O. F. Gulban et al., Improving a probabilistic cytoarchitectonic atlas of auditory cortex using a novel method for inter-individual alignment. Elife 9 (2020).","DOI":"10.7554\/eLife.56963"},{"key":"2026041120353898000_2025.05.04.651766v1.45","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2013.07.056"},{"key":"2026041120353898000_2025.05.04.651766v1.46","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2018.00525"},{"key":"2026041120353898000_2025.05.04.651766v1.47","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2017.08.006"},{"key":"2026041120353898000_2025.05.04.651766v1.48","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.24808"},{"key":"2026041120353898000_2025.05.04.651766v1.49","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1216856110"},{"key":"2026041120353898000_2025.05.04.651766v1.50","doi-asserted-by":"crossref","unstructured":"H. Yang et al., Reproducible coactivation patterns of functional brain networks reveal the aberrant dynamic state transition in schizophrenia. Neuroimage 237, 118193 (2021).","DOI":"10.1016\/j.neuroimage.2021.118193"},{"key":"2026041120353898000_2025.05.04.651766v1.51","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.aaz0087"},{"key":"2026041120353898000_2025.05.04.651766v1.52","doi-asserted-by":"publisher","DOI":"10.1007\/s00787-024-02474-y"},{"key":"2026041120353898000_2025.05.04.651766v1.53","doi-asserted-by":"publisher","DOI":"10.1016\/j.brainresrev.2003.08.004"},{"key":"2026041120353898000_2025.05.04.651766v1.54","doi-asserted-by":"crossref","unstructured":"E. Martinez-Gutierrez , A. Jimenez-Marin , S. Stramaglia , J. M. Cortes , The structure of anticorrelated networks in the human brain. Front Netw Physiol 2, 946380 (2022).","DOI":"10.3389\/fnetp.2022.946380"},{"key":"2026041120353898000_2025.05.04.651766v1.55","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0504136102"},{"key":"2026041120353898000_2025.05.04.651766v1.56","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.08.048"},{"key":"2026041120353898000_2025.05.04.651766v1.57","doi-asserted-by":"publisher","DOI":"10.1152\/jn.90777.2008"},{"key":"2026041120353898000_2025.05.04.651766v1.58","doi-asserted-by":"publisher","DOI":"10.1089\/brain.2014.0323"},{"key":"2026041120353898000_2025.05.04.651766v1.59","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.20531"},{"key":"2026041120353898000_2025.05.04.651766v1.60","doi-asserted-by":"crossref","unstructured":"X. Liu , C. Chang , J. H. Duyn , Decomposition of spontaneous brain activity into distinct fMRI co-activation patterns. Front Syst Neurosci 7, 101 (2013).","DOI":"10.3389\/fnsys.2013.00101"},{"key":"2026041120353898000_2025.05.04.651766v1.61","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2010.01.002"},{"key":"2026041120353898000_2025.05.04.651766v1.62","doi-asserted-by":"publisher","DOI":"10.1016\/j.cub.2019.06.017"},{"key":"2026041120353898000_2025.05.04.651766v1.63","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2008.09.036"},{"key":"2026041120353898000_2025.05.04.651766v1.64","doi-asserted-by":"publisher","DOI":"10.1089\/brain.2012.0080"},{"key":"2026041120353898000_2025.05.04.651766v1.65","doi-asserted-by":"crossref","unstructured":"F. M. Krienen , B. T. Yeo , R. L. Buckner , Reconfigurable task-dependent functional coupling modes cluster around a core functional architecture. Philosophical Transactions of the Royal Society B: Biological Sciences 369, 20130526 (2014).","DOI":"10.1098\/rstb.2013.0526"},{"key":"2026041120353898000_2025.05.04.651766v1.66","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2018.03.035"},{"key":"2026041120353898000_2025.05.04.651766v1.67","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0905267106"},{"key":"2026041120353898000_2025.05.04.651766v1.68","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhn014"},{"key":"2026041120353898000_2025.05.04.651766v1.69","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2019.04.023"},{"key":"2026041120353898000_2025.05.04.651766v1.70","doi-asserted-by":"crossref","unstructured":"M. Ozker , D. Yoshor , M. S. Beauchamp , Converging evidence from electrocorticography and BOLD fMRI for a sharp functional boundary in superior temporal gyrus related to multisensory speech processing. Frontiers in human neuroscience 12, 141 (2018).","DOI":"10.3389\/fnhum.2018.00141"},{"key":"2026041120353898000_2025.05.04.651766v1.71","doi-asserted-by":"publisher","DOI":"10.1162\/jocn_a_01110"},{"key":"2026041120353898000_2025.05.04.651766v1.72","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhp055"},{"key":"2026041120353898000_2025.05.04.651766v1.73","doi-asserted-by":"crossref","unstructured":"I. Hertrich , S. Dietrich , H. Ackermann , The margins of the language network in the brain. Frontiers in Communication 5, 519955 (2020).","DOI":"10.3389\/fcomm.2020.519955"},{"key":"2026041120353898000_2025.05.04.651766v1.74","doi-asserted-by":"publisher","DOI":"10.1038\/nn.2331"},{"key":"2026041120353898000_2025.05.04.651766v1.75","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.3684-10.2011"},{"key":"2026041120353898000_2025.05.04.651766v1.76","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.0041-13.2013"},{"key":"2026041120353898000_2025.05.04.651766v1.77","doi-asserted-by":"publisher","DOI":"10.1016\/S0926-6410(01)00084-2"},{"key":"2026041120353898000_2025.05.04.651766v1.78","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/10.5.512"},{"key":"2026041120353898000_2025.05.04.651766v1.79","doi-asserted-by":"publisher","DOI":"10.1016\/j.cognition.2003.11.002"},{"key":"2026041120353898000_2025.05.04.651766v1.80","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2004.09.019"},{"key":"2026041120353898000_2025.05.04.651766v1.81","doi-asserted-by":"publisher","DOI":"10.3389\/neuro.01.1.1.014.2007"},{"key":"2026041120353898000_2025.05.04.651766v1.82","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.4865-09.2010"},{"key":"2026041120353898000_2025.05.04.651766v1.83","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2007.06.020"},{"key":"2026041120353898000_2025.05.04.651766v1.84","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.07.024"},{"key":"2026041120353898000_2025.05.04.651766v1.85","doi-asserted-by":"publisher","DOI":"10.1016\/j.cortex.2018.03.030"},{"key":"2026041120353898000_2025.05.04.651766v1.86","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2012.09.047"},{"key":"2026041120353898000_2025.05.04.651766v1.87","doi-asserted-by":"crossref","unstructured":"J. H. Venezia et al., Auditory, Visual and Audiovisual Speech Processing Streams in Superior Temporal Sulcus. Front Hum Neurosci 11, 174 (2017).","DOI":"10.3389\/fnhum.2017.00174"},{"key":"2026041120353898000_2025.05.04.651766v1.88","unstructured":"A. Mareyam , J. E. Kirsch , Y. Chang , G. Madan , L. L. Wald (2020) A 64-Channel 7T array coil for accelerated brain MRI. in Proceedings of the International Society for Magnetic Resonance in Medicine, p 764."},{"key":"2026041120353898000_2025.05.04.651766v1.89","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2017.09.060"},{"key":"2026041120353898000_2025.05.04.651766v1.90","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2007.12.025"},{"key":"2026041120353898000_2025.05.04.651766v1.91","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.23097"},{"key":"2026041120353898000_2025.05.04.651766v1.92","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2012.01.021"},{"key":"2026041120353898000_2025.05.04.651766v1.93","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2006.08.006"},{"key":"2026041120353898000_2025.05.04.651766v1.94","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2019.01.054"},{"key":"2026041120353898000_2025.05.04.651766v1.95","doi-asserted-by":"publisher","DOI":"10.1016\/J.NEUROIMAGE.2013.04.127"},{"key":"2026041120353898000_2025.05.04.651766v1.96","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.23084"},{"key":"2026041120353898000_2025.05.04.651766v1.97","doi-asserted-by":"publisher","DOI":"10.2307\/1165312"},{"key":"2026041120353898000_2025.05.04.651766v1.98","unstructured":"D. Groppe (2024) fdr_bh (https:\/\/www.mathworks.com\/matlabcentral\/fileexchange\/27418-fdr_bh), MATLAB Central File Exchange. Retrieved December 9, 2023."}],"container-title":[],"original-title":[],"link":[{"URL":"https:\/\/syndication.highwire.org\/content\/doi\/10.1101\/2025.05.04.651766","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T05:08:25Z","timestamp":1782277705000},"score":1,"resource":{"primary":{"URL":"http:\/\/biorxiv.org\/lookup\/doi\/10.1101\/2025.05.04.651766"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,5]]},"references-count":98,"URL":"https:\/\/doi.org\/10.1101\/2025.05.04.651766","relation":{"is-preprint-of":[{"id-type":"doi","id":"10.1162\/IMAG.a.1179","asserted-by":"subject"}]},"subject":[],"published":{"date-parts":[[2025,5,5]]},"subtype":"preprint"}}