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Medina Villalon, S.

Publications and source records attributed to Medina Villalon, S..

2 recordsLinked to original sources

Causal mapping of self-motion networks in the human brain

Although functional neuroimaging studies using caloric and galvanic vestibular stimulation have identified a distributed cortical network involved in human vestibular processing, including the posterior insula, parietal operculum, temporo-parietal junction, cingulate and frontal areas, the causal contribution of specific brain regions to vestibular self-motion perception remains poorly understood. Invasive electrical brain stimulation (EBS) during stereoelectroencephalography (SEEG) offers a unique opportunity to causally map the cortical networks underlying vestibular self-motion perception in humans. Here, we retrospectively analyzed EBS-induced vestibular percepts in 354 patients with drug-resistant epilepsy undergoing SEEG. A total of 19,708 stimulations (11,004 at 50 Hz and 8,704 at 1 Hz) yielded 3,015 clinical responses. Vestibular self-motion illusions were defined as sensations of vertigo, dizziness, whole-body rotation, or translation occurring without corresponding physical movement. Stimulation sites were assigned to the seven large-scale functional networks of the Schaefer-Yeo atlas to characterize the network organization of vestibular self-motion perception. Vestibular self-motion sensations were elicited in 46 patients during 86 EBS delivered outside epileptogenic and lesional regions. Percepts ranged from nonspecific vertigo and dizziness (54.7%) to more explicit rotational (30.2%) and translational (15.1%) self-motion illusions. Vestibular responses were most commonly evoked by stimulation of the insula, medial temporal regions, cingulate cortex, inferior frontal gyrus, and premotor cortices. Network-level mapping using the Schaefer-Yeo atlas revealed a non-uniform distribution of vestibular sites across large-scale functional networks, with the highest representation within the salience/ventral attention, visual, and dorsal attention networks. Together, these findings provide causal evidence that vestibular self-motion perception emerges from activity within a distributed cortical network involved in attentional control and multisensory processing. Beyond advancing our understanding of human vestibular processing, these findings may have clinical relevance for disorders involving altered self-motion perception, including vestibular epilepsy and functional neurological disorders.

neuroscience↗

Magnetoencephalography can reveal deep brain network activities linked to memory processes

Recording from deep neural structures such as hippocampus non-invasively and yet with high temporal resolution remains a major challenge for human neuroscience. Although it has been proposed that deep neuronal activity might be recordable during cognitive tasks using magnetoencephalography (MEG), this remains to be demonstrated as the contribution of deep structures to MEG recordings may be too small to be detected or might be eclipsed by the activity of large-scale neocortical networks. In the present study, we disentangled mesial activity and large-scale networks from the MEG signals thanks to blind source separation (BSS). We then validated the MEG BSS components using intracerebral EEG signals recorded simultaneously in patients during their presurgical evaluation of epilepsy. In the MEG signals obtained during a memory task involving the recognition of old and new images, we identified with BSS a putative mesial component, which was present in all patients and all control subjects. The time course of the component selectively correlated with SEEG signals recorded from hippocampus and rhinal cortex, thus confirming its mesial origin. This finding complements previous studies with epileptic activity and opens new possibilities for using MEG to study deep brain structures in cognition and in brain disorders.

neuroscience↗