Imaging the human hippocampus with optically-pumped magnetoencephalography
Optically-pumped (OP) magnetometers allow magnetoencephalography (MEG) to be performed while a participant’s head is unconstrained. To fully leverage this new technology, and in particular its capacity for mobility, the activity of deep brain structures which facilitate explorative behaviours such a...
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Veröffentlicht in: | NeuroImage (Orlando, Fla.) Fla.), 2019-12, Vol.203, p.116192-116192, Article 116192 |
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Sprache: | eng |
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Zusammenfassung: | Optically-pumped (OP) magnetometers allow magnetoencephalography (MEG) to be performed while a participant’s head is unconstrained. To fully leverage this new technology, and in particular its capacity for mobility, the activity of deep brain structures which facilitate explorative behaviours such as navigation, must be detectable using OP-MEG. One such crucial brain region is the hippocampus. Here we had three healthy adult participants perform a hippocampal-dependent task – the imagination of novel scene imagery – while being scanned using OP-MEG. A conjunction analysis across these three participants revealed a significant change in theta power in the medial temporal lobe. The peak of this activated cluster was located in the anterior hippocampus. We repeated the experiment with the same participants in a conventional SQUID-MEG scanner and found similar engagement of the medial temporal lobe, also with a peak in the anterior hippocampus. These OP-MEG findings indicate exciting new opportunities for investigating the neural correlates of a range of crucial cognitive functions in naturalistic contexts including spatial navigation, episodic memory and social interactions.
•Optically-pumped (OP) magnetometers are advancing magnetoencephalography (MEG).•OP-MEG brain scanning can be performed while the head is unconstrained.•We combined OP-MEG with a hippocampal-dependent task.•Task-related changes in theta power in the hippocampus were detectable.•We observed similar hippocampal engagement in the same participants using SQUID-MEG. |
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ISSN: | 1053-8119 1095-9572 |
DOI: | 10.1016/j.neuroimage.2019.116192 |