LP19: Electrophysiological activity of the subthalamic nucleus in response to emotional prosody: an intracranial ERP study in Parkinson’s disease

Péron, Julie Anne; Haegelen, Claire; Sauleau, Paul; Tamarit, Lucas; Milesi, Valérie; Houvenaghel, Jean-François; Dondaine, Thibaut; Vérin, Marc; Grandjean, Didier

doi:10.1016/s1388-2457(14)50432-4

Cited by 2 publications

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“…Given their tripartite functional compartmentalization, whereby each basal ganglia (BG) is linked to either the motor, associative or limbic cortex 5 , 6 , there is every reason to suppose that the BG might play a major role in emotional processing in humans. This assertion is reinforced by both the BG’s intrinsic function and their functional and effective connectivity with the rest of the brain 7 , revealed by functional magnetic resonance imaging (fMRI) 8 , electrophysiological data 9 , lesion studies 10 , as well as by deep brain stimulation of the BG 11 . There is growing evidence for the involvement of the BG in vocal emotional processing, not only directly, but also through their connections with structures known to be involved in emotional processing, such as the superior frontal and temporal gyri, the amygdala and the cerebellum 12 .…”

Section: Introductionmentioning

confidence: 99%

Basal ganglia and cerebellum contributions to vocal emotion processing as revealed by high-resolution fMRI

Ceravolo

Frühholz

Pierce

et al. 2021

Sci Rep

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Until recently, brain networks underlying emotional voice prosody decoding and processing were focused on modulations in primary and secondary auditory, ventral frontal and prefrontal cortices, and the amygdala. Growing interest for a specific role of the basal ganglia and cerebellum was recently brought into the spotlight. In the present study, we aimed at characterizing the role of such subcortical brain regions in vocal emotion processing, at the level of both brain activation and functional and effective connectivity, using high resolution functional magnetic resonance imaging. Variance explained by low-level acoustic parameters (fundamental frequency, voice energy) was also modelled. Wholebrain data revealed expected contributions of the temporal and frontal cortices, basal ganglia and cerebellum to vocal emotion processing, while functional connectivity analyses highlighted correlations between basal ganglia and cerebellum, especially for angry voices. Seed-to-seed and seed-to-voxel effective connectivity revealed direct connections within the basal ganglia—especially between the putamen and external globus pallidus—and between the subthalamic nucleus and the cerebellum. Our results speak in favour of crucial contributions of the basal ganglia, especially the putamen, external globus pallidus and subthalamic nucleus, and several cerebellar lobules and nuclei for an efficient decoding of and response to vocal emotions.

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Section: Introductionmentioning

confidence: 99%

Basal ganglia and cerebellum contributions to vocal emotion processing as revealed by high-resolution fMRI

Ceravolo

Frühholz

Pierce

et al. 2021

Sci Rep

View full text Add to dashboard Cite

show abstract

“…There is growing evidence for the involvement of the BG in emotional processing, especially for emotions conveyed by the human voice (i.e., emotional prosody), not only directly, but also through their connections with structures known to be involved in emotional processing, such as the superior frontal and temporal gyri, the amygdala and the cerebellum (Thomasson, Saj et al 2019). This involvement has been revealed by functional magnetic resonance imaging (fMRI) (Péron, Frühholz et al 2016), electrophysiological data (Péron, Haegelen et al 2014), lesion studies (Cohen, Riccio et al 1994), as well as by deep brain stimulation of the BG, a neurosurgical technique that has recently drawn researchers’ attention to the possible functional roles of these structures in human emotional processing (for a review, see Péron, Frühholz et al 2013).…”

mentioning

confidence: 99%

Basal ganglia and cerebellar contributions to vocal emotion processing: a high resolution fMRI study

Ceravolo

Fruehholz

Pierce

et al. 2020

Preprint

View full text Add to dashboard Cite

Until recently, brain networks underlying emotional voice prosody decoding and processing were focused on modulations in primary and secondary auditory, ventral frontal and prefrontal cortices, and the amygdala. Growing interest for a specific role of the basal ganglia and cerebellum was recently brought into the spotlight. In the present study, we aimed at characterizing the role of such subcortical brain regions in vocal emotion processing, at the level of both brain activation and functional and effective connectivity, using high resolution functional magnetic resonance imaging. Variance explained by low-level acoustic parameters (fundamental frequency, voice energy) was also modelled. Wholebrain data revealed expected contributions of the temporal and frontal cortices, basal ganglia and cerebellum to vocal emotion processing, while functional connectivity analyses highlighted correlations between basal ganglia and cerebellum, especially for angry voices. Seed-to-seed and seed-to-voxel effective connectivity revealed direct connections within the basal ganglia ̶ especially between the putamen and external globus pallidus ̶ and between the subthalamic nucleus and the cerebellum. Our results speak in favour of crucial contributions of the basal ganglia, especially the putamen, external globus pallidus and subthalamic nucleus, and several cerebellar lobules and nuclei for an efficient decoding of and response to vocal emotions.

show abstract

LP19: Electrophysiological activity of the subthalamic nucleus in response to emotional prosody: an intracranial ERP study in Parkinson’s disease

Cited by 2 publications

References 0 publications

Basal ganglia and cerebellum contributions to vocal emotion processing as revealed by high-resolution fMRI

Basal ganglia and cerebellum contributions to vocal emotion processing as revealed by high-resolution fMRI

Basal ganglia and cerebellar contributions to vocal emotion processing: a high resolution fMRI study

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