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Updated: Feb 13, 2026

Real-Time fMRI Brain Mapping in Animals
Published on: September 24, 2020
Fast periodic stimulation (FPS): a highly effective approach in fMRI brain mapping
Xiaoqing Gao1, Francesco Gentile1,2, Bruno Rossion3,4
1Psychological Sciences Research Institute (IPSY), Institute of Neuroscience (IoNS), University of Louvain, 10, Place Cardinal Mercier, 1348, Louvain-la-Neuve, Belgium.
A new fast periodic stimulation functional magnetic resonance imaging (FPS-fMRI) method effectively maps face-selective brain regions. This technique enhances signal-to-noise ratio, offering reliable insights into visual processing in the human brain.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Visual Neuroscience
Background:
- Mapping brain regions for perceptual categorization using low-temporal resolution methods like fMRI is difficult.
- Dynamic natural environments pose challenges for traditional neuroimaging techniques.
Purpose of the Study:
- To introduce a novel fast periodic stimulation (FPS)-fMRI approach for precisely defining face-selective brain regions.
- To enhance the ability to study neural underpinnings of visual perception with fMRI.
Main Methods:
- Utilized FPS-fMRI with a dynamic stream of natural object images alternating at 6 images/s.
- Induced face-selective neural responses using brief bursts of face images every 9 seconds (0.111 Hz).
- Employed model-free Fourier analysis to increase signal-to-noise ratio compared to block-design fMRI.
Main Results:
- Achieved a twofold increase in signal-to-noise ratio compared to conventional block-design fMRI.
- Generated comprehensive maps of face-selective areas in the ventral occipito-temporal cortex, including the anterior temporal lobe (ATL), in all participants.
- Demonstrated high test-retest reliability (80-90%) in spatial activation maps for higher-level visual functions.
Conclusions:
- FPS-fMRI provides a robust method for mapping face-selective brain areas with natural stimuli.
- The technique effectively isolates neural responses to specific categories, minimizing confounds from low-level visual cues.
- This approach advances the study of brain function using low-temporal resolution neuroimaging methods.
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