Introduction Spectral clustering and functional connectivity analysis of low-frequency fluctuations in fMRI data reveal a distinct separation between the superior temporal sulcus and the superior temporal gyrus

Gabriele Lohmann; J Obleser; Angela D. Friederici; Renée J. Turner

doi:10.1016/s1053-8119(09)70242-3

Introduction Spectral clustering and functional connectivity analysis of low-frequency fluctuations in fMRI data reveal a distinct separation between the superior temporal sulcus and the superior temporal gyrus

Gabriele Lohmann, J Obleser, Angela D. Friederici, Renée J. Turner

Institute of Psychology

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.

Original language	English
Journal	NeuroImage
Volume	47
Pages (from-to)	S58
ISSN	1053-8119
DOIs	https://doi.org/10.1016/s1053-8119(09)70242-3
Publication status	Published - 07.2009

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This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 5 Gender Equality
SDG 10 Reduced Inequalities

Research Areas and Centers

Academic Focus: Center for Brain, Behavior and Metabolism (CBBM)

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title = "Introduction Spectral clustering and functional connectivity analysis of low-frequency fluctuations in fMRI data reveal a distinct separation between the superior temporal sulcus and the superior temporal gyrus",

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.",

author = "Gabriele Lohmann and J Obleser and Friederici, \{Angela D.\} and Turner, \{Ren{\'e}e J.\}",

year = "2009",

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doi = "10.1016/s1053-8119(09)70242-3",

language = "English",

volume = "47",

pages = "S58",

journal = "NeuroImage",

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publisher = "Academic Press Inc.",

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Introduction Spectral clustering and functional connectivity analysis of low-frequency fluctuations in fMRI data reveal a distinct separation between the superior temporal sulcus and the superior temporal gyrus. / Lohmann, Gabriele; Obleser, J; Friederici, Angela D. et al.
In: NeuroImage, Vol. 47, 07.2009, p. S58.

Research output: Journal Articles › Journal articles › Research › peer-review

TY - JOUR

T1 - Introduction Spectral clustering and functional connectivity analysis of low-frequency fluctuations in fMRI data reveal a distinct separation between the superior temporal sulcus and the superior temporal gyrus

AU - Lohmann, Gabriele

AU - Obleser, J

AU - Friederici, Angela D.

AU - Turner, Renée J.

PY - 2009/7

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AB - 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.

UR - https://www.mendeley.com/catalogue/16d8ac4d-ad77-332f-804a-35b8a8d901a5/

U2 - 10.1016/s1053-8119(09)70242-3

DO - 10.1016/s1053-8119(09)70242-3

M3 - Journal articles

SN - 1053-8119

VL - 47

SP - S58

JO - NeuroImage

JF - NeuroImage

ER -

Introduction Spectral clustering and functional connectivity analysis of low-frequency fluctuations in fMRI data reveal a distinct separation between the superior temporal sulcus and the superior temporal gyrus

Abstract

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