33
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Impairment of functional integration of the default mode network correlates with cognitive outcome at three months after stroke

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Resting-state studies conducted with stroke patients are scarce. The study of brain activity and connectivity at rest provides a unique opportunity for the investigation of brain rewiring after stroke and plasticity changes. This study sought to identify dynamic changes in the functional organization of the default mode network (DMN) of stroke patients at three months after stroke. Eleven patients (eight male and three female; age range: 48–72) with right cortical and subcortical ischemic infarctions and 17 controls (eleven males and six females; age range: 57–69) were assessed by neurological and neuropsychological examinations and scanned with resting-state functional magnetic ressonance imaging. First, we explored group differences in functional activity within the DMN by means of probabilistic independent component analysis followed by a dual regression approach. Second, we estimated functional connectivity between 11 DMN nodes both locally by means of seed-based connectivity analysis, as well as globally by means of graph-computation analysis. We found that patients had greater DMN activity in the left precuneus and the left anterior cingulate gyrus when compared with healthy controls ( P < 0.05 family-wise error corrected). Seed-based connectivity analysis showed that stroke patients had significant impairment ( P = 0.014; threshold = 2.00) in the connectivity between the following five DMN nodes: left superior frontal gyrus (lSFG) and posterior cingulate cortex ( t = 2.01); left parahippocampal gyrus and right superior frontal gyrus ( t = 2.11); left parahippocampal gyrus and lSFG ( t = 2.39); right parietal and lSFG ( t = 2.29). Finally, mean path length obtained from graph-computation analysis showed positive correlations with semantic fluency test ( r s = 0.454; P = 0.023), phonetic fluency test ( r s = 0.523; P = 0.007) and the mini mental state examination ( r s = 0.528; P = 0.007). In conclusion, the ability to regulate activity of the DMN appears to be a central part of normal brain function in stroke patients. Our study expands the understanding of the changes occurring in the brain after stroke providing a new avenue for investigating lesion-induced network plasticity. Hum Brain Mapp 36:577–590, 2015. © 2014 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc.

          Related collections

          Most cited references61

          • Record: found
          • Abstract: found
          • Article: not found

          Development and validation of a geriatric depression screening scale: a preliminary report.

          A new Geriatric Depression Scale (GDS) designed specifically for rating depression in the elderly was tested for reliability and validity and compared with the Hamilton Rating Scale for Depression (HRS-D) and the Zung Self-Rating Depression Scale (SDS). In constructing the GDS a 100-item questionnaire was administered to normal and severely depressed subjects. The 30 questions most highly correlated with the total scores were then selected and readministered to new groups of elderly subjects. These subjects were classified as normal, mildly depressed or severely depressed on the basis of Research Diagnostic Criteria (RDC) for depression. The GDS, HRS-D and SDS were all found to be internally consistent measures, and each of the scales was correlated with the subject's number of RDC symptoms. However, the GDS and the HRS-D were significantly better correlated with RDC symptoms than was the SDS. The authors suggest that the GDS represents a reliable and valid self-rating depression screening scale for elderly populations.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Rich-club organization of the human connectome.

            The human brain is a complex network of interlinked regions. Recent studies have demonstrated the existence of a number of highly connected and highly central neocortical hub regions, regions that play a key role in global information integration between different parts of the network. The potential functional importance of these "brain hubs" is underscored by recent studies showing that disturbances of their structural and functional connectivity profile are linked to neuropathology. This study aims to map out both the subcortical and neocortical hubs of the brain and examine their mutual relationship, particularly their structural linkages. Here, we demonstrate that brain hubs form a so-called "rich club," characterized by a tendency for high-degree nodes to be more densely connected among themselves than nodes of a lower degree, providing important information on the higher-level topology of the brain network. Whole-brain structural networks of 21 subjects were reconstructed using diffusion tensor imaging data. Examining the connectivity profile of these networks revealed a group of 12 strongly interconnected bihemispheric hub regions, comprising the precuneus, superior frontal and superior parietal cortex, as well as the subcortical hippocampus, putamen, and thalamus. Importantly, these hub regions were found to be more densely interconnected than would be expected based solely on their degree, together forming a rich club. We discuss the potential functional implications of the rich-club organization of the human connectome, particularly in light of its role in information integration and in conferring robustness to its structural core.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Efficient Behavior of Small-World Networks

              We introduce the concept of efficiency of a network as a measure of how efficiently it exchanges information. By using this simple measure, small-world networks are seen as systems that are both globally and locally efficient. This gives a clear physical meaning to the concept of "small world," and also a precise quantitative analysis of both weighted and unweighted networks. We study neural networks and man-made communication and transportation systems and we show that the underlying general principle of their construction is in fact a small-world principle of high efficiency.
                Bookmark

                Author and article information

                Journal
                Hum Brain Mapp
                Hum Brain Mapp
                hbm
                Human Brain Mapping
                BlackWell Publishing Ltd (Oxford, UK )
                1065-9471
                1097-0193
                February 2015
                16 October 2014
                : 36
                : 2
                : 577-590
                Affiliations
                [1 ]Department of Psychiatry and Clinical Psychobiology, University of Barcelona Barcelona, Spain
                [2 ]Group of Computational Intelligence Department of CCIA, University of the Basque Country UPV/EHU San Sebastian, Spain
                [3 ]McConnell Brain Imaging Centre, Montreal Neurological Institute Montreal, Quebec, Canada
                [4 ]Institute for Brain, Cognition and Behaviour (IR3C) Barcelona, Spain
                [5 ]Department of Neurosciences, Hospital Germans Trias i Pujol, Autonomous University of Barcelona Badalona, Barcelona, Spain
                [6 ]Radiology Department, Image Diagnosis Center, Hospital Clínic Barcelona, Spain
                [7 ]Image Platform of IDIBAPS Barcelona, Spain
                [8 ]Department of Methodology of Behavioral Sciences, University of Barcelona Spain
                [9 ]Institute of Biomedical Research August Pi i Sunyer (IDIBAPS) Barcelona, Spain
                [10 ]MRC Cognition and Brain Sciences Unit Cambridge, England
                Author notes
                * Correspondence to: M. Mataró, Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Passeig de la Vall d'Hebron, 171, 08035 Barcelona, Spain. E-mail: mmataro@ 123456ub.edu

                Tibor Auer and Maria Mataró shared latest authorship.

                Contract grant sponsor: PSI; Contract grant number: 2009-11519; Contract grant sponsor: Formacio Personal Investigador (FPI); Contract grant sponsor: Ministry of Science and Innovation (MICINN); Contract grant number: BES-2010-031833; Contract grant sponsor: Ministry of Economy and Competitiveness (MINECO); Contract grant number: TIN2011-23823; Contract grant sponsor: UFI, Spain; Contract grant number: 11/07.

                Article
                10.1002/hbm.22648
                4312977
                25324040
                1cf06b26-aed1-4fc0-9ef8-63fca07c5d14
                © 2014 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc.

                This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 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
                : 26 April 2014
                : 14 August 2014
                : 23 September 2014
                Categories
                Research Articles

                Neurology
                default mode network,probabilistic independent component analysis,seed-based connectivity analysis,graph-computation analysis

                Comments

                Comment on this article