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Related Experiment Video

Updated: May 11, 2026

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

Parallel systems in the control of speech.

Anna J Simmonds1, Richard J S Wise, Catherine Collins

  • 1Computational, Cognitive and Clinical Neuroimaging Laboratory (C3NL), Division of Brain Sciences, Imperial College London, United Kingdom.

Human Brain Mapping
|June 1, 2013
PubMed
Summary
This summary is machine-generated.

Two distinct neural systems in the brain

Keywords:
ICAconnectivityfMRIparietal operculumperisylvianplanum temporalespeech production

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Speech Production Research

Background:

  • Neuroimaging advances understanding of speech production anatomy.
  • Functional interactions within the speech network remain unclear.
  • Separating overlapping neural signals is challenging.

Purpose of the Study:

  • To investigate functional interactions between distinct components of the speech production network.
  • To decompose neural activity in the left posterior perisylvian region.
  • To identify and characterize spatio-temporal components involved in speech.

Main Methods:

  • Analysis of three human functional magnetic resonance imaging (fMRI) datasets.
  • Decomposition of neural activity within the left posterior perisylvian speech region.
  • Identification of overlapping spatio-temporal components.

Main Results:

  • Two overlapping components identified: one in the posterior superior temporal gyrus (pSTG), another in the ventral anterior parietal lobe (vAPL).
  • pSTG connected with temporal and frontal regions; vAPL connected with parietal regions.
  • Components showed spatial anti-correlation, suggesting separate and potentially competing operations.

Conclusions:

  • Speech production involves parallel, distinct neural components converging in the posterior perisylvian cortex.
  • These components are active during both speech tasks and rest.
  • Dissociated activity patterns suggest differential roles in speech production demands.