# EEG Sensor space metrics

**URL:** <https://mne.discourse.group/t/eeg-sensor-space-metrics/8333>\
**Category:** Support & Discussions\
**Tags:** source-localization, eeg\
**Created:** [February 14, 2024, 4:36pm UTC](https://mne.discourse.group/t/eeg-sensor-space-metrics/8333 "2024-02-14T16:36:25Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![richard](https://yyz2.discourse-cdn.com/free1/user_avatar/mne.discourse.group/richard/32/15_2.png) [@richard](https://mne.discourse.group/u/richard)\
**Post date:** [February 14, 2024, 4:42pm UTC](https://mne.discourse.group/t/eeg-sensor-space-metrics/8333/2 "2024-02-14T16:42:51Z")

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Hello and welcome to the forum!

Maybe this posting answers your question:

> [@What is the unit for the source estimates returned by apply\_inverse\_epochs function for EEG data?](https://mne.discourse.group/t/what-is-the-unit-for-the-source-estimates-returned-by-apply-inverse-epochs-function-for-eeg-data/3829/2):
>
> Hello @dahaiyu and welcome to the forum! The dSPM and sLORETA algorithms produce source estimates in unit-less values (based on F-statistics). On the other hand, the MNE and eLORETA algorithms return the electrical current in Amperes (that’s why the numbers are so tiny!). It is therefore totally alright to label the y-axis in your above figure as “dSPM value”. Hope that helps! Richard

Best wishes,  
Richard

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