Universität zu Köln

Riedl, Valentin ORCID: 0000-0002-2861-8449, Utz, Lukas, Castrillon, Gabriel ORCID: 0000-0001-7047-906X, Grimmer, Timo, Rauschecker, Josef P. ORCID: 0000-0003-4353-9084, Ploner, Markus ORCID: 0000-0002-7767-7170, Friston, Karl J., Drzezga, Alexander and Sorg, Christian (2016). Metabolic connectivity mapping reveals effective connectivity in the resting human brain. Proc. Natl. Acad. Sci. U. S. A., 113 (2). S. 428 - 434. WASHINGTON: NATL ACAD SCIENCES. ISSN 0027-8424

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Abstract

Directionality of signaling among brain regions provides essential information about human cognition and disease states. Assessing such effective connectivity (EC) across brain states using functional magnetic resonance imaging (fMRI) alone has proven difficult, however. We propose a novel measure of EC, termed metabolic connectivity mapping (MCM), that integrates undirected functional connectivity (FC) with local energy metabolism from fMRI and positron emission tomography (PET) data acquired simultaneously. This method is based on the concept that most energy required for neuronal communication is consumed postsynaptically, i.e., at the target neurons. We investigated MCM and possible changes in EC within the physiological range using eyes open versus eyes closed conditions in healthy subjects. Independent of condition, MCM reliably detected stable and bidirectional communication between early and higher visual regions. Moreover, we found stable top-down signaling from a frontoparietal network including frontal eye fields. In contrast, we found additional top-down signaling from all major clusters of the salience network to early visual cortex only in the eyes open condition. MCM revealed consistent bidirectional and unidirectional signaling across the entire cortex, along with prominent changes in network interactions across two simple brain states. We propose MCM as a novel approach for inferring EC from neuronal energy metabolism that is ideally suited to study signaling hierarchies in the brain and their defects in brain disorders.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Riedl, Valentin UNSPECIFIED orcid.org/0000-0002-2861-8449 UNSPECIFIED Utz, Lukas UNSPECIFIED UNSPECIFIED UNSPECIFIED Castrillon, Gabriel UNSPECIFIED orcid.org/0000-0001-7047-906X UNSPECIFIED Grimmer, Timo UNSPECIFIED UNSPECIFIED UNSPECIFIED Rauschecker, Josef P. UNSPECIFIED orcid.org/0000-0003-4353-9084 UNSPECIFIED Ploner, Markus UNSPECIFIED orcid.org/0000-0002-7767-7170 UNSPECIFIED Friston, Karl J. UNSPECIFIED UNSPECIFIED UNSPECIFIED Drzezga, Alexander UNSPECIFIED UNSPECIFIED UNSPECIFIED Sorg, Christian UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-287346
DOI:	10.1073/pnas.1513752113
Journal or Publication Title:	Proc. Natl. Acad. Sci. U. S. A.
Volume:	113
Number:	2
Page Range:	S. 428 - 434
Date:	2016
Publisher:	NATL ACAD SCIENCES
Place of Publication:	WASHINGTON
ISSN:	0027-8424
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language FMRI FUNCTIONAL CONNECTIVITY; INTRINSIC CONNECTIVITY; NETWORKS; CORTEX; COMPONENTS; COGNITION; FEEDBACK; AREAS; HUBS; V1 Multiple languages Multidisciplinary Sciences Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/28734