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      Functional characterization of human Heschl’s gyrus in response to natural speech

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          Abstract

          Heschl’s gyrus (HG) is a brain area that includes the primary auditory cortex in humans. Due to the limitations in obtaining direct neural measurements from this region during naturalistic speech listening, the functional organization and the role of HG in speech perception remain uncertain. Here, we used intracranial EEG to directly record neural activity in HG in eight neurosurgical patients as they listened to continuous speech stories. We studied the spatial distribution of acoustic tuning and the organization of linguistic feature encoding. We found a main gradient of change from posteromedial to anterolateral parts of HG. We also observed a decrease in frequency and temporal modulation tuning and an increase in phonemic representation, speaker normalization, speech sensitivity, and response latency. We did not observe a difference between the two brain hemispheres. These findings reveal a functional role for HG in processing and transforming simple to complex acoustic features and inform neurophysiological models of speech processing in the human auditory cortex.

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          An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest.

          In this study, we have assessed the validity and reliability of an automated labeling system that we have developed for subdividing the human cerebral cortex on magnetic resonance images into gyral based regions of interest (ROIs). Using a dataset of 40 MRI scans we manually identified 34 cortical ROIs in each of the individual hemispheres. This information was then encoded in the form of an atlas that was utilized to automatically label ROIs. To examine the validity, as well as the intra- and inter-rater reliability of the automated system, we used both intraclass correlation coefficients (ICC), and a new method known as mean distance maps, to assess the degree of mismatch between the manual and the automated sets of ROIs. When compared with the manual ROIs, the automated ROIs were highly accurate, with an average ICC of 0.835 across all of the ROIs, and a mean distance error of less than 1 mm. Intra- and inter-rater comparisons yielded little to no difference between the sets of ROIs. These findings suggest that the automated method we have developed for subdividing the human cerebral cortex into standard gyral-based neuroanatomical regions is both anatomically valid and reliable. This method may be useful for both morphometric and functional studies of the cerebral cortex as well as for clinical investigations aimed at tracking the evolution of disease-induced changes over time, including clinical trials in which MRI-based measures are used to examine response to treatment.
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            The origin of extracellular fields and currents--EEG, ECoG, LFP and spikes.

            Neuronal activity in the brain gives rise to transmembrane currents that can be measured in the extracellular medium. Although the major contributor of the extracellular signal is the synaptic transmembrane current, other sources--including Na(+) and Ca(2+) spikes, ionic fluxes through voltage- and ligand-gated channels, and intrinsic membrane oscillations--can substantially shape the extracellular field. High-density recordings of field activity in animals and subdural grid recordings in humans, combined with recently developed data processing tools and computational modelling, can provide insight into the cooperative behaviour of neurons, their average synaptic input and their spiking output, and can increase our understanding of how these processes contribute to the extracellular signal.
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              The cortical organization of speech processing.

              Despite decades of research, the functional neuroanatomy of speech processing has been difficult to characterize. A major impediment to progress may have been the failure to consider task effects when mapping speech-related processing systems. We outline a dual-stream model of speech processing that remedies this situation. In this model, a ventral stream processes speech signals for comprehension, and a dorsal stream maps acoustic speech signals to frontal lobe articulatory networks. The model assumes that the ventral stream is largely bilaterally organized--although there are important computational differences between the left- and right-hemisphere systems--and that the dorsal stream is strongly left-hemisphere dominant.
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                Author and article information

                Journal
                9215515
                20498
                Neuroimage
                Neuroimage
                NeuroImage
                1053-8119
                1095-9572
                18 October 2021
                28 March 2021
                15 July 2021
                22 November 2021
                : 235
                : 118003
                Affiliations
                [a ]Mortimer B. Zuckerman Brain Behavior Institute, Columbia University, New York, NY, United States
                [b ]Department of Electrical Engineering, Columbia University, New York, NY, United States
                [c ]Hofstra Northwell School of Medicine, Manhasset, NY, United States
                [d ]The Feinstein Institutes for Medical Research, Manhasset, NY, United States
                Author notes
                [* ]Corresponding author at: Department of Electrical Engineering, Columbia University, New York, NY, United States. bahar.kh@ 123456columbia.edu (B. Khalighinejad), pmp2138@ 123456columbia.edu (P. Patel), jherreroru@ 123456northwell.edu (J.L. Herrero), Sbickel@ 123456northwell.edu (S. Bickel), amehta@ 123456northwell.edu (A.D. Mehta), nima@ 123456ee.columbia.edu (N. Mesgarani).
                Article
                NIHMS1731878
                10.1016/j.neuroimage.2021.118003
                8608271
                33789135
                1aa88649-afd6-4cce-9c2f-ba5401f81a5a

                This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/)

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                Neurosciences
                heschl’s gyrus,ieeg,auditory field maps,tonotopy,cortical mapping,human auditory cortex

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