Universität zu Köln

Scharwaechter, Leon, Schmitt, Felix J., Pallast, Niklas, Fink, Gereon R. ORCID: 0000-0002-8230-1856 and Aswendt, Markus (2022). Network analysis of neuroimaging in mice. Neuroimage, 253. SAN DIEGO: ACADEMIC PRESS INC ELSEVIER SCIENCE. ISSN 1095-9572

Full text not available from this repository.

Abstract

Graph theory allows assessing changes of neuronal connectivity and interactions of brain regions in response to local lesions, e.g., after stroke, and global perturbations, e.g., due to psychiatric dysfunctions or neurodegenera-tive disorders. Consequently, network analysis based on constructing graphs from structural and functional MRI connectivity matrices is increasingly used in clinical studies. In contrast, in mouse neuroimaging, the focus is mainly on basic connectivity parameters, i.e., the correlation coefficient or fiber counts, whereas more advanced network analyses remain rarely used. This review summarizes graph theoretical measures and their interpreta-tion to describe networks derived from recent in vivo mouse brain studies. To facilitate the entry into the topic, we explain the related mathematical definitions, provide a dedicated software toolkit, and discuss practical con-siderations for the application to rs-fMRI and DTI. This way, we aim to foster cross-species comparisons and the application of standardized measures to classify and interpret network changes in translational brain disease studies.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Scharwaechter, Leon UNSPECIFIED UNSPECIFIED UNSPECIFIED Schmitt, Felix J. UNSPECIFIED UNSPECIFIED UNSPECIFIED Pallast, Niklas UNSPECIFIED UNSPECIFIED UNSPECIFIED Fink, Gereon R. UNSPECIFIED orcid.org/0000-0002-8230-1856 UNSPECIFIED Aswendt, Markus UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-671175
DOI:	10.1016/j.neuroimage.2022.119110
Journal or Publication Title:	Neuroimage
Volume:	253
Date:	2022
Publisher:	ACADEMIC PRESS INC ELSEVIER SCIENCE
Place of Publication:	SAN DIEGO
ISSN:	1095-9572
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language RESTING-STATE FMRI; MOUSE-BRAIN; FUNCTIONAL CONNECTIVITY; AWAKE MICE; CONNECTOME; STROKE; ATLAS; REORGANIZATION; EFFICIENCY; RECOVERY Multiple languages Neurosciences; Neuroimaging; Radiology, Nuclear Medicine & Medical Imaging Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/67117