Literature DB >> 24931481

Towards mapping the brain connectome in depression: functional connectivity by perfusion SPECT.

Ann Gardner1, Disa Åstrand2, Johanna Öberg3, Hans Jacobsson4, Cathrine Jonsson2, Stig Larsson4, Marco Pagani5.   

Abstract

Several studies have demonstrated altered brain functional connectivity in the resting state in depression. However, no study has investigated interregional networking in patients with persistent depressive disorder (PDD). The aim of this study was to assess differences in brain perfusion distribution and connectivity between large groups of patients and healthy controls. Participants comprised 91 patients with PDD and 65 age- and sex-matched healthy controls. Resting state perfusion was investigated by single photon emission computed tomography, and group differences were assessed by Statistical Parametric Mapping. Brain connectivity was explored through a voxel-wise interregional correlation analysis using as covariate of interest the normalized values of clusters of voxels in which perfusion differences were found in group analysis. Significantly increased regional brain perfusion distribution covering a large part of the cerebellum was observed in patients as compared with controls. Patients showed a significant negative functional connectivity between the cerebellar cluster and caudate, bilaterally. This study demonstrated inverse relative perfusion between the cerebellum and the caudate in PDD. Functional uncoupling may be associated with a dysregulation between the role of the cerebellum in action control and of the caudate in action selection, initiation and decision making in the patients. The potential impact of the resting state condition and the possibility of mitochondrial impairment are discussed.
Copyright © 2014 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

Entities:  

Keywords:  Caudate; Cerebellum; Chronic depression; Mitochondrial impairment; Persistent depressive disorder

Mesh:

Substances:

Year:  2014        PMID: 24931481     DOI: 10.1016/j.pscychresns.2014.05.008

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  5 in total

1.  Consensus Paper: Cerebellum and Emotion.

Authors:  M Adamaszek; F D'Agata; R Ferrucci; C Habas; S Keulen; K C Kirkby; M Leggio; P Mariën; M Molinari; E Moulton; L Orsi; F Van Overwalle; C Papadelis; A Priori; B Sacchetti; D J Schutter; C Styliadis; J Verhoeven
Journal:  Cerebellum       Date:  2017-04       Impact factor: 3.847

2.  From metabolic connectivity to molecular connectivity: application to dopaminergic pathways.

Authors:  Antoine Verger; Tatiana Horowitz; Mohammad B Chawki; Alexandre Eusebio; Manon Bordonne; Jean-Philippe Azulay; Nadine Girard; Eric Guedj
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-11-18       Impact factor: 9.236

3.  Towards characterizing the regional cerebral perfusion in evaluating the severity of major depression disorder with SPECT/CT.

Authors:  Jinming Li; Yuan Yang; Yuankai Zhu; Liqiang Zhou; Yunfeng Han; Tao Yin; Zhaoting Cheng; Guopeng Zhang; Yanxia Shen; Jing Chen
Journal:  BMC Psychiatry       Date:  2018-03-21       Impact factor: 3.630

4.  Characterization of Iron Accumulation in Deep Gray Matter in Myotonic Dystrophy Type 1 and 2 Using Quantitative Susceptibility Mapping and R2* Relaxometry: A Magnetic Resonance Imaging Study at 3 Tesla.

Authors:  Sevda Ates; Andreas Deistung; Ruth Schneider; Christian Prehn; Carsten Lukas; Jürgen R Reichenbach; Christiane Schneider-Gold; Barbara Bellenberg
Journal:  Front Neurol       Date:  2019-12-13       Impact factor: 4.003

5.  Enhancing the Temporal Complexity of Distributed Brain Networks with Patterned Cerebellar Stimulation.

Authors:  Faranak Farzan; Alvaro Pascual-Leone; Jeremy D Schmahmann; Mark Halko
Journal:  Sci Rep       Date:  2016-03-24       Impact factor: 4.379

  5 in total

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