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      The human vestibular cortex

        1 , , 1 , 1 , 1
      ScienceOpen Posters
      vestibular, cortex, cartography


            Aim: The cortical representations for almost all senses (touch, pain, sound, vision and smell) haven been robustly mapped in humans with functional neuroimaging. But the majority of cerebral regions receiving vestibular information originating from our so-called sixth sense have evaded a definitive localization for more than two decades now. Neuron recordings and tracer studies in several primate species had previously established a cortical vestibular network of at least seven (maximum ten) regions per hemisphere [ 1 , 2 ]. Up to now, several confounders impeded the delineation of a human vestibular cortex. These included somatosensory confounders, head motion artifacts, difficulties in evoking an intense vestibular percept and spatio-temporal limitations of fMRI. Aim of our fMRI study was to finally localize all cortical vestibular regions known from other primate species in humans. In a subsequent step we also intended to perform an internal replication of our findings. Methods: We examined 60 stimulus-naïve, right-handed healthy subjects (33 F; mean age 27 years) in two separate groups (n=30) spanning a cultural background of 17 different nationalities. Sinusoidal low-frequency galvanic vestibular stimulation (GVS) (0.875Hz, 3mA) after local anaesthesia of the postauricular region was conducted via bimastoidal electrodes to elicit naturalistic vestibular sensations. Structural and functional images were obtained in a clinical 3T scanner (Siemens Magnetom Skyra) equipped with a 64-channel head and neck coil. The protocol included a resting-state and a GVS session consisting of a prescan-normalized T2*-weighted EPI sequence (TR 0.7s, 56 interleaved slices, multi-band factor 6, 2.5mm in-plane resolution, slice thickness 2.5 mm), as well as a structural MPRAGE sequence. Data analysis was performed using SPM12 (Version 6407 Wellcome Department of Imaging Neuroscience, UK) and the SPM Anatomy toolbox (Version 2.2c) after standard preprocessing including DARTEL-based normalization[ 3 ]. Results were considered significant at FDR p<0.01 (corrected at voxel level). Results: Controlling and accounting for somatosensory, nociceptive and salience effects we were able to delineate and identify nine cortical homologues to known vestibular representations in non-human primates. Aside from the cerebellar nodule and uvula we found the cytoarchitectonic area OP2 in the parietal operculum to be the human core equivalent to the parieto-insular vestibular region PIVC. Monkey visual posterior sylvian area (VPS) could be mapped to cytoarchitectonic area PFcm whereas area 7 is probably located in the human inferior parietal lobule (cytoarchitectonic area PF). We could also identify the ventral intraparietal area (VIP) in the intraparietal sulcus (cytoarchitectonic area hIP3) as well as areas 2v and 3aV. The area cingulate sulcus visual (CSv) was found to be the vestibular cingulate (VC) region known from non-human primates. We found a strong vestibular response in already established area MST und could map monkey area 6 to a lateral premotor region in humans. The vestibular reponse found in the periarcuate cortex in monkeys is probably reflected in a paramedian human activation in the supplementary motor area. All of these findings could be replicated internally in the second independent cohort. Conclusion: We were able to robustly delineate and map the human vestibular cortex. We identified ten cortical homologue vestibular regions known from non-human primates. The response patterns to the confounder-minimised GVS protocol show that the cortical core vestibular network in humans is probably represented by areas OP2 (PIVC), MST, PFcm (VPS), PF (area 7) and CSv (VC). References: This work was supported by the Federal Ministry of Education and Research (BMBF 01 EO 0901).


            Author and article information

            ScienceOpen Posters
            4 June 2020
            [1 ] Ludwig-Maximilians-University Munich

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

            The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
            Neurosciences,Life sciences


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