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Brain Imaging

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Related Experiment Video

Updated: Feb 17, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Normalizing brain activity across individuals using functional reference mapping.

Eugenio Martinelli¹, Alja Lüdke², Piergiorgio Adamo¹

¹Department of Electronic Engineering, University of Rome Tor Vergata, Via del Politecnico 1, 00133, Roma, Italy.

Scientific Reports

|December 8, 2017

Summary

This summary is machine-generated.

This study introduces functional registration to map neural activity across individuals using physiological responses. This method enables reliable biological sensors by analyzing odor responses in fruit flies, even without direct data calibration.

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Last Updated: Feb 17, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Functional Mapping with Simultaneous MEG and EEG

Functional Mapping with Simultaneous MEG and EEG

Published on: June 14, 2010

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

Area of Science:

Neuroscience
Sensory Biology
Bioengineering

Background:

Brain atlases enable neural activity mapping across individuals.
Existing techniques fail when spatial relationships are unequal.
A novel approach is needed for cross-individual neural activity mapping.

Purpose of the Study:

To develop a method for mapping neural activity across individuals independent of spatial equality.
To demonstrate the utility of this method for creating reliable biological sensors.
To leverage natural chemosensory systems for analytical purposes.

Main Methods:

Functional registration based on physiological responses to reference stimuli.
Integration of data into a common multidimensional stimulus space.
Recording odor responses in Drosophila melanogaster receptor neurons.

Main Results:

Successfully discriminated volatile compounds using the functional registration technique.
Demonstrated the ability to map neural activity across individuals.
Established a framework for calibrating biological sensor data.

Conclusions:

Functional registration offers a robust method for cross-individual neural activity mapping.
This technique facilitates the development of reliable biological sensors from physiological measurements.
Exploits the sensitivity and selectivity of animal olfactory receptors for analytical applications.