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Related Experiment Video

Updated: Jun 24, 2025

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

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Published on: July 1, 2014

Functional and Effective Connectivity Underlying Semantic Verbal Fluency.

Isabella Velloso Arrigo¹, Pedro Henrique Rodrigues da Silva¹, Renata Ferranti Leoni²

¹InBrain, Department of Physics, FFCLRP, University of Sao Paulo, Av. Bandeirantes, Ribeirao Preto, Sao Paulo, 3900, 14040-901, Brazil.

Brain Topography

|June 5, 2024

Summary

This summary is machine-generated.

This study maps the semantic verbal fluency (SVF) network using fMRI, revealing interconnected regions from category identification to word generation. The findings offer a framework for understanding SVF in neurological disorders.

Keywords:

Dynamic functional connectivity Effective connectivity Functional magnetic resonance imaging Language Verbal fluency

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Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology

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Published on: June 29, 2021

Area of Science:

Neuroscience
Cognitive Neuroscience
Neuroimaging

Background:

Semantic verbal fluency (SVF) impairment is a hallmark of several neurological disorders.
Previous studies show activation in SVF-related areas, but network connectivity and functional roles remain unclear.

Purpose of the Study:

To investigate the static and dynamic functional connectivity (FC) and effective connectivity of the SVF network in healthy individuals.
To elucidate the functional roles of different brain regions within the SVF network.

Main Methods:

Functional magnetic resonance imaging (fMRI) was used to assess static and dynamic FC and effective connectivity during an SVF task.
Analysis included identifying activated regions and mapping connectivity patterns.

Main Results:

Observed activation in the inferior frontal gyrus (IFG), middle temporal gyrus (pMTG), angular gyrus (AG), anterior cingulate (AC), insula, and various frontal gyri.
Static FC revealed a highly interconnected network, with increased AC connectivity to pMTG and AG during the task.
Dynamic FC identified circuits for category identification, language comprehension, word selection, generation, and articulatory planning.
Effective connectivity analysis proposed a network originating from AG to pMTG, with ventral and dorsal stream divisions, and modulated frontal regions.

Conclusions:

Successfully mapped the SVF network, encompassing processes from category identification to word generation.
The methodological approach provides a valuable tool for future research on SVF in neurological conditions.