Functional connectivity within the voice perception network and its behavioural relevance

Aglieri, Virginia; Chaminade, Thierry; Takerkart, Sylvain; Belin, Pascal

doi:10.1016/j.neuroimage.2018.08.011

Cited by 39 publications

(46 citation statements)

References 76 publications

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“…Interestingly, in many cases we observed a maximal activity not in the depth pit but on one of the PPs adjacent to it (figure 6 d.), which were already identified using the depth profile method on both sides of the STAP (Leroy et al 2015;. The fact that voice-related activity can be clustered into three areas from the anterior STG to posterior STS (Pernet et al 2014) and that these areas are functionally inter-connected with each other's (Aglieri et al 2018) opens numerous questions on their link with PPs and therefore with the U-shape structural connectivity.…”

Section: Functional Implicationssupporting

confidence: 51%

Plis de passage in the Superior Temporal Sulcus: Morphology and local connectivity

Bodin

Pron

Mao

et al. 2020

Preprint

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While there is a profusion of functional investigations involving the superior temporal sulcus (STS), our knowledge of the anatomy of this sulcus is still limited by a large variability across individuals. Several “plis de passage” (PPs), annectant gyri buried inside the fold, can separate the STS into distinct segments and could explain part of the observed variability. However, an accurate characterization is lacking to properly extract and fully understand the nature of PPs. The aim of the present study is twofold: i. to characterize the STS PPs by directly identifying them within individual STS, using the geometry of the surrounding surface and considering both deep and superficial PPs. ii. to test the hypothesis that PPs constitute local increases of the short-range structural connectivity. Performed on 90 subjects from the Human Connectome Project database, our study revealed that PPs constitute surface landmarks that can be identified from the geometry of the STS walls and that they constitute critical pathways of the U-shaped white-matter connecting the two banks of the STS. Specifically, a larger amount of fibers was extracted at the location of PPs compared to other locations in the STS. This quantity was also larger for superficial PPs than for deep buried ones. These findings raise new hypotheses regarding the relation between the cortical surface geometry and structural connectivity, as well as the possible role of PPs in the functional organization of the STS.

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Section: Functional Implicationssupporting

confidence: 51%

Plis de passage in the Superior Temporal Sulcus: Morphology and local connectivity

Bodin

Pron

Mao

et al. 2020

Preprint

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“…(B) When using the concatenated latent representations in the MDAE (relu, sigmoid), several larger regions are detected: regions tagged 3 and 4 are along the superior temporal gyrus bilaterally, region 1 is located in the fundus of the right superior temporal sulcus, regions 2 and 5 are in the inferior frontal gyrus. All these regions perfectly match the neuroscientific literature[29]-[31].…”

supporting

confidence: 85%

“…We now examine the neuroscientific relevance of our results. Lacking a ground truth, we compare our results qualitatively with state of the art knowledge extracted from the neuroscientific literature [29]- [31]: knowing the task performed by the subject (i.e the passive listening of vocal sounds), we can expect to see a very focal network of brain regions located bilaterally in the temporal lobe (along the superior temporal gyrus and sulcus [29], [30]), as well as regions in the frontal lobe (in the pre-central and inferior frontal gyri [31]). For this, we present on Fig.…”

Section: F Neuroscientific Relevance Of the Modelmentioning

confidence: 99%

“…Remarkably, it allows detecting significant regions in the frontal lobe bilaterally, regions that are known to be hard to detect (e.g. 92 subjects were used in [31] whereas only 39 were available in the present study). This might reflect a gain in statistical power that could be induced by an improved robustness of the information present in the latent representation of the fused task-and rest-fMRI data.…”

Section: F Neuroscientific Relevance Of the Modelmentioning

confidence: 99%

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Mapping individual differences in cortical architecture using multi-view representation learning

Sellami

Dupé

Cagna

et al. 2020

2020 International Joint Conference on Neural Networks (IJCNN)

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In neuroscience, understanding inter-individual differences has recently emerged as a major challenge, for which functional magnetic resonance imaging (fMRI) has proven invaluable. For this, neuroscientists rely on basic methods such as univariate linear correlations between single brain features and a score that quantifies either the severity of a disease or the subject's performance in a cognitive task. However, to this date, task-fMRI and resting-state fMRI have been exploited separately for this question, because of the lack of methods to effectively combine them. In this paper, we introduce a novel machine learning method which allows combining the activation-and connectivity-based information respectively measured through these two fMRI protocols to identify markers of individual differences in the functional organization of the brain. It combines a multi-view deep autoencoder which is designed to fuse the two fMRI modalities into a joint representation space within which a predictive model is trained to guess a scalar score that characterizes the patient. Our experimental results demonstrate the ability of the proposed method to outperform competitive approaches and to produce interpretable and biologically plausible results.

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“…Voice-sensitive areas, generally referred to as 'temporal voice areas' (TVA), have been highlighted along the upper, superior part of the temporal cortex 2 . Since then, great effort has been put into better characterizing these TVA, with a specific focus on their spatial compartmentalization into functional subparts [3][4][5] . Repetitive transcranial magnetic stimulations over the right mid TVA lead to persistent voice detection impairment in a simple voice/non-voice discrimination task 6 and a rather large body of literature is aligned with the crucial role of the TVA in voice perception and processing 3,[7][8][9] .…”

Section: Introductionmentioning

confidence: 99%

Human temporal voice areas are sensitive to chimpanzee vocalizations

Ceravolo

Debracque

Gruber

et al. 2020

Preprint

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In recent years, research on voice processing, particularly the study of temporal voice areas (TVA), was dedicated almost exclusively to human voice. To characterize commonalities and differences regarding primate vocalization representations in the human brain, the inclusion of closely related primates, especially chimpanzees and bonobos, is needed. We hypothesized that commonalities would depend on both phylogenetic and acoustic proximity, with chimpanzees ranking the closest to Homo. Presenting human participants with four primate species vocalizations (rhesus macaques, chimpanzees, bonobos and humans) and taking into account acoustic distance or removing voxels explained solely by vocalization low-level acoustics, we observed within-TVA enhanced left and right anterior superior temporal gyrus activity for chimpanzee compared to all other species, and chimpanzee compared to human vocalizations. Our results provide evidence for a common neural basis in the TVA for the processing of phylogenetically and acoustically close vocalizations, namely those of humans and chimpanzees.

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Functional connectivity within the voice perception network and its behavioural relevance

Cited by 39 publications

References 76 publications

Plis de passage in the Superior Temporal Sulcus: Morphology and local connectivity

Plis de passage in the Superior Temporal Sulcus: Morphology and local connectivity

Mapping individual differences in cortical architecture using multi-view representation learning

Human temporal voice areas are sensitive to chimpanzee vocalizations

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