ArticleScientific reports2021
FMRI-based identity classification accuracy in left temporal and frontal regions predicts speaker recognition performance.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.
- Pooled it
- An Electrophysiological Study on the Neural Responses of Speaker Discrimination.Behavioral sciences (Basel, Switzerland) · 2026Article
- Neural Architecture of Familiar Person Perception: Contributions of Unimodal and Multimodal Brain Regions.Human brain mapping · 2026Article
- Article
- Spontaneous recruitment of the person-knowledge network by familiar voices in the congenitally blind.Scientific reports · 2025Article
- Aberrant functional hubs and related networks attributed to cognitive impairment in patients with anti‑N‑methyl‑D‑aspartate receptor encephalitis.Biomedical reports · 2024Article
- Cortical-striatal brain network distinguishes deepfake from real speaker identity.Communications biology · 2024Article
- Unveiling the development of human voice perception: Neurobiological mechanisms and pathophysiology.Current research in neurobiology · 2024Review
- The mechanism of phonetic information in voice identity discrimination: a comparative study based on sighted and blind people.Frontiers in psychology · 2024Article
- Visual Deprivation Alters Functional Connectivity of Neural Networks for Voice Recognition: A Resting-State fMRI Study.Brain sciences · 2023Article
- Temporopolar regions of the human brain.Brain : a journal of neurology · 2023Article
- Perspective-taking is associated with increased discriminability of affective states in the ventromedial prefrontal cortex.Social cognitive and affective neuroscience · 2022Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Speaker recognition is characterized by considerable inter-individual variability with poorly understood neural bases. This study was aimed at (1) clarifying the cerebral correlates of speaker recognition in humans, in particular the involvement of prefrontal areas, using multi voxel pattern analysis (MVPA) applied to fMRI data from a relatively large group of participants, and (2) at investigating the relationship across participants between fMRI-based classification and the group's variable behavioural performance at the speaker recognition task. A cohort of subjects (N = 40, 28 females) selected to present a wide distribution of voice recognition abilities underwent an fMRI speaker identification task during which they were asked to recognize three previously learned speakers with finger button presses. The results showed that speaker identity could be significantly decoded based on fMRI patterns in voice-sensitive regions including bilateral temporal voice areas (TVAs) along the superior temporal sulcus/gyrus but also in bilateral parietal and left inferior frontal regions. Furthermore, fMRI-based classification accuracy showed a significant correlation with individual behavioural performance in left anterior STG/STS and left inferior frontal gyrus. These results highlight the role of both temporal and extra-temporal regions in performing a speaker identity recognition task with motor responses.
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