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      Interrelations between dopamine and serotonin producing sites and regions of the default mode network

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          Abstract

          Recent functional magnetic resonance imaging (fMRI) studies showed that blood oxygenation level‐dependent (BOLD) signal fluctuations in the default mode network (DMN) are functionally tightly connected to those in monoaminergic nuclei, producing dopamine (DA), and serotonin (5‐HT) transmitters, in the midbrain/brainstem. We combined accelerated fMRI acquisition with spectral Granger causality and coherence analysis to investigate causal relationships between these areas. Both methods independently lead to similar results and confirm the existence of a top‐down information flow in the resting‐state condition, where activity in core DMN areas influences activity in the neuromodulatory centers producing DA/5‐HT. We found that latencies range from milliseconds to seconds with high inter‐subject variability, likely attributable to the resting condition. Our novel findings provide new insights into the functional organization of the human brain.

          Abstract

          Spectral Granger causality and coherence analysis revealed the existence of top‐down information flow in the resting‐state condition, where activity in core DMN areas influences activity in dopamine and serotonin producing sites in the midbrain/brainstem.

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          Estimating the Dimension of a Model

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            Investigating Causal Relations by Econometric Models and Cross-spectral Methods

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              A fast diffeomorphic image registration algorithm.

              This paper describes DARTEL, which is an algorithm for diffeomorphic image registration. It is implemented for both 2D and 3D image registration and has been formulated to include an option for estimating inverse consistent deformations. Nonlinear registration is considered as a local optimisation problem, which is solved using a Levenberg-Marquardt strategy. The necessary matrix solutions are obtained in reasonable time using a multigrid method. A constant Eulerian velocity framework is used, which allows a rapid scaling and squaring method to be used in the computations. DARTEL has been applied to intersubject registration of 471 whole brain images, and the resulting deformations were evaluated in terms of how well they encode the shape information necessary to separate male and female subjects and to predict the ages of the subjects.
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                Author and article information

                Contributors
                karl-juergen.baer@med.uni-jena.de
                Journal
                Hum Brain Mapp
                Hum Brain Mapp
                10.1002/(ISSN)1097-0193
                HBM
                Human Brain Mapping
                John Wiley & Sons, Inc. (Hoboken, USA )
                1065-9471
                1097-0193
                31 October 2020
                15 February 2021
                : 42
                : 3 ( doiID: 10.1002/hbm.v42.3 )
                : 811-823
                Affiliations
                [ 1 ] Lab for Autonomic Neuroscience, Imaging and Cognition (LANIC), Department of Psychosomatic Medicine and Psychotherapy Jena University Hospital Germany
                [ 2 ] Department of Psychiatry and Psychotherapy Jena University Hospital Germany
                [ 3 ] Medical Physics Group, Department of Diagnostic and Interventional Radiology Jena University Hospital Germany
                Author notes
                [*] [* ] Correspondence

                Karl‐Jürgen Bär, Department of Psychosomatic Medicine and Psychotherapy, Jena University Hospital, Philosophenweg 3, 07743 Jena, Germany.

                Email: karl-juergen.baer@ 123456med.uni-jena.de

                Author information
                https://orcid.org/0000-0002-6529-2679
                https://orcid.org/0000-0002-5691-4325
                https://orcid.org/0000-0003-3861-5679
                Article
                HBM25264
                10.1002/hbm.25264
                7814772
                33128416
                6b722835-4dcc-4bd6-9b38-e2858799dc47
                © 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 02 May 2020
                : 05 October 2020
                : 14 October 2020
                Page count
                Figures: 6, Tables: 2, Pages: 13, Words: 11556
                Funding
                Funded by: Universitätsklinikum Jena , open-funder-registry 10.13039/501100007653;
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                February 15, 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.9.6 mode:remove_FC converted:19.01.2021

                Neurology
                coherence,default mode network,dopamine,monoaminergic nuclei,serotonin,spectral granger causality

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