Please use this identifier to cite or link to this item:
10.3390/brainsci11070943
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DC Field | Value | Language |
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dc.contributor.author | Zdanovskis, Nauris | - |
dc.contributor.author | Platkājis, Ardis | - |
dc.contributor.author | Kostiks, Andrejs | - |
dc.contributor.author | Karelis, Guntis | - |
dc.contributor.author | Grigorjeva, Oļesja | - |
dc.date.accessioned | 2021-08-19T08:10:01Z | - |
dc.date.available | 2021-08-19T08:10:01Z | - |
dc.date.issued | 2021-07 | - |
dc.identifier.citation | Zdanovskis , N , Platkājis , A , Kostiks , A , Karelis , G & Grigorjeva , O 2021 , ' Brain structural connectivity differences in patients with normal cognition and cognitive impairment ' , Brain Sciences , vol. 11 , no. 7 , 943 . https://doi.org/10.3390/brainsci11070943 | - |
dc.identifier.uri | https://dspace.rsu.lv/jspui/handle/123456789/6044 | - |
dc.description | Publisher Copyright: © 2021 by the authors. | - |
dc.description.abstract | Advances in magnetic resonance imaging, particularly diffusion imaging, have allowed researchers to analyze brain connectivity. Identification of structural connectivity differences between patients with normal cognition, cognitive impairment, and dementia could lead to new biomarker discoveries that could improve dementia diagnostics. In our study, we analyzed 22 patients (11 control group patients, 11 dementia group patients) that underwent 3T MRI diffusion tensor imaging (DTI) scans and the Montreal Cognitive Assessment (MoCA) test. We reconstructed DTI images and used the Desikan-Killiany-Tourville cortical parcellation atlas. The connectivity matrix was calculated, and graph theoretical analysis was conducted using DSI Studio. We found statistically significant differences between groups in the graph density, network characteristic path length, small-worldness, global efficiency, and rich club organization. We did not find statistically significant differences between groups in the average clustering coefficient and the assortativity coefficient. These statistically significant graph theory measures could potentially be used as quantitative biomarkers in cognitive impairment and dementia diagnostics. | en |
dc.format.extent | 858066 | - |
dc.language.iso | eng | - |
dc.relation.ispartof | Brain Sciences | - |
dc.rights | info:eu-repo/semantics/openAccess | - |
dc.subject | Brain connectivity | - |
dc.subject | Dementia | - |
dc.subject | DTI | - |
dc.subject | MCI | - |
dc.subject | Mild cognitive impairment | - |
dc.subject | MRI | - |
dc.subject | Neurodegenerative diseases | - |
dc.subject | 3.2 Clinical medicine | - |
dc.subject | 1.1. Scientific article indexed in Web of Science and/or Scopus database | - |
dc.subject | General Neuroscience | - |
dc.title | Brain structural connectivity differences in patients with normal cognition and cognitive impairment | en |
dc.type | /dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article | - |
dc.identifier.doi | 10.3390/brainsci11070943 | - |
dc.contributor.institution | Department of Radiology | - |
dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85111088609&partnerID=8YFLogxK | - |
dc.description.status | Peer reviewed | - |
Appears in Collections: | Research outputs from Pure / Zinātniskās darbības rezultāti no ZDIS Pure |
Files in This Item:
File | Size | Format | |
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Brain_Structural_Connectivity_Differences.pdf | 837.96 kB | Adobe PDF | View/Open |
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