Spectral Clustering of Low-Frequency Fluctuations in FMRI Data Reveal a 
Distinct Separation Between the Superior Temporal Sulcus and the Superior 
Temporal Gyrus

Lohmann, G; Obleser, J; Friederici, A; Turner, R

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Spectral Clustering of Low-Frequency Fluctuations in FMRI Data Reveal a Distinct Separation Between the Superior Temporal Sulcus and the Superior Temporal Gyrus

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Lohmann, G., Obleser, J., Friederici, A., & Turner, R. (2009). Spectral Clustering of Low-Frequency Fluctuations in FMRI Data Reveal a Distinct Separation Between the Superior Temporal Sulcus and the Superior Temporal Gyrus. In 17th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM 2009).

Cite as: https://hdl.handle.net/21.11116/0000-0003-179C-4

Abstract

Low Frequency Fluctuations (LFFs) are known to represent a large portion of the variance of the BOLD signal. Furthermore, such fluctuations generally have significant spatial coherence. Task-dependent condition-locked fMRI data has confirmed an important role of the superior temporal cortex in many language and hearing related processes. Within this area, many studies have claimed to identify activation distinct to superior temporal gyrus (STG) and superior temporal sulcus (STS). Using a data-driven clustering technique applied to LFFs, we found a clear separation between STS and STG that showed a high inter-subject consistency.