Changes in MEG resting-state networks are related to cognitive decline in type 1 diabetes mellitus patients
Objective: Integrity of resting-state functional brain networks (RSNs) is important for proper cognitive functioning. In type 1 diabetes mellitus (T1DM) cognitive decrements are commonly observed, possibly due to alterations in RSNs, which may vary according to microvascular complication status. Thu...
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| Format: | Article |
| Language: | English |
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Elsevier
2014-01-01
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| Series: | NeuroImage: Clinical |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2213158214000771 |
| _version_ | 1828837840583131136 |
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| author | Matteo Demuru Eelco van Duinkerken Matteo Fraschini Francesco Marrosu Frank J. Snoek Frederik Barkhof Martin Klein Michaela Diamant Arjan Hillebrand |
| author_facet | Matteo Demuru Eelco van Duinkerken Matteo Fraschini Francesco Marrosu Frank J. Snoek Frederik Barkhof Martin Klein Michaela Diamant Arjan Hillebrand |
| author_sort | Matteo Demuru |
| collection | DOAJ |
| description | Objective: Integrity of resting-state functional brain networks (RSNs) is important for proper cognitive functioning. In type 1 diabetes mellitus (T1DM) cognitive decrements are commonly observed, possibly due to alterations in RSNs, which may vary according to microvascular complication status. Thus, we tested the hypothesis that functional connectivity in RSNs differs according to clinical status and correlates with cognition in T1DM patients, using an unbiased approach with high spatio-temporal resolution functional network.
Methods: Resting-state magnetoencephalographic (MEG) data for T1DM patients with (n = 42) and without (n = 41) microvascular complications and 33 healthy participants were recorded. MEG time-series at source level were reconstructed using a recently developed atlas-based beamformer. Functional connectivity within classical frequency bands, estimated by the phase lag index (PLI), was calculated within eight commonly found RSNs. Neuropsychological tests were used to assess cognitive performance, and the relation with RSNs was evaluated.
Results: Significant differences in terms of RSN functional connectivity between the three groups were observed in the lower alpha band, in the default-mode (DMN), executive control (ECN) and sensorimotor (SMN) RSNs. T1DM patients with microvascular complications showed the weakest functional connectivity in these networks relative to the other groups. For DMN, functional connectivity was higher in patients without microangiopathy relative to controls (all p < 0.05). General cognitive performance for both patient groups was worse compared with healthy controls. Lower DMN alpha band functional connectivity correlated with poorer general cognitive ability in patients with microvascular complications.
Discussion: Altered RSN functional connectivity was found in T1DM patients depending on clinical status. Lower DMN functional connectivity was related to poorer cognitive functioning. These results indicate that functional connectivity may play a key role in T1DM-related cognitive dysfunction. |
| first_indexed | 2024-12-12T18:49:42Z |
| format | Article |
| id | doaj.art-67e6f7b644a64098ad644e33df7c8260 |
| institution | Directory Open Access Journal |
| issn | 2213-1582 |
| language | English |
| last_indexed | 2024-12-12T18:49:42Z |
| publishDate | 2014-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage: Clinical |
| spelling | doaj.art-67e6f7b644a64098ad644e33df7c82602022-12-22T00:15:24ZengElsevierNeuroImage: Clinical2213-15822014-01-015C697610.1016/j.nicl.2014.06.001Changes in MEG resting-state networks are related to cognitive decline in type 1 diabetes mellitus patientsMatteo Demuru0Eelco van Duinkerken1Matteo Fraschini2Francesco Marrosu3Frank J. Snoek4Frederik Barkhof5Martin Klein6Michaela Diamant7Arjan Hillebrand8Department of Electrical and Electronic Engineering, University of Cagliari, ItalyDepartment of Medical Psychology, VU University Medical Centre, Amsterdam, The NetherlandsDepartment of Electrical and Electronic Engineering, University of Cagliari, ItalyDepartment of Public Health, Clinic and Molecular Medicine, University of Cagliari, ItalyDepartment of Medical Psychology, VU University Medical Centre, Amsterdam, The NetherlandsDepartment of Radiology and Nuclear Medicine, VU University Medical Centre, Amsterdam, The NetherlandsDepartment of Medical Psychology, VU University Medical Centre, Amsterdam, The NetherlandsDiabetes Centre/Department of Internal Medicine, VU University Medical Centre, Amsterdam, The NetherlandsDepartment of Clinical Neurophysiology and MEG Centre, Neuroscience Campus Amsterdam, VU University Medical Centre, Amsterdam, The NetherlandsObjective: Integrity of resting-state functional brain networks (RSNs) is important for proper cognitive functioning. In type 1 diabetes mellitus (T1DM) cognitive decrements are commonly observed, possibly due to alterations in RSNs, which may vary according to microvascular complication status. Thus, we tested the hypothesis that functional connectivity in RSNs differs according to clinical status and correlates with cognition in T1DM patients, using an unbiased approach with high spatio-temporal resolution functional network. Methods: Resting-state magnetoencephalographic (MEG) data for T1DM patients with (n = 42) and without (n = 41) microvascular complications and 33 healthy participants were recorded. MEG time-series at source level were reconstructed using a recently developed atlas-based beamformer. Functional connectivity within classical frequency bands, estimated by the phase lag index (PLI), was calculated within eight commonly found RSNs. Neuropsychological tests were used to assess cognitive performance, and the relation with RSNs was evaluated. Results: Significant differences in terms of RSN functional connectivity between the three groups were observed in the lower alpha band, in the default-mode (DMN), executive control (ECN) and sensorimotor (SMN) RSNs. T1DM patients with microvascular complications showed the weakest functional connectivity in these networks relative to the other groups. For DMN, functional connectivity was higher in patients without microangiopathy relative to controls (all p < 0.05). General cognitive performance for both patient groups was worse compared with healthy controls. Lower DMN alpha band functional connectivity correlated with poorer general cognitive ability in patients with microvascular complications. Discussion: Altered RSN functional connectivity was found in T1DM patients depending on clinical status. Lower DMN functional connectivity was related to poorer cognitive functioning. These results indicate that functional connectivity may play a key role in T1DM-related cognitive dysfunction.http://www.sciencedirect.com/science/article/pii/S2213158214000771Resting-state networksMagnetoencephalographyFunctional connectivityPhase Lag Index (PLI)OscillationsType 1 diabetes mellitus |
| spellingShingle | Matteo Demuru Eelco van Duinkerken Matteo Fraschini Francesco Marrosu Frank J. Snoek Frederik Barkhof Martin Klein Michaela Diamant Arjan Hillebrand Changes in MEG resting-state networks are related to cognitive decline in type 1 diabetes mellitus patients NeuroImage: Clinical Resting-state networks Magnetoencephalography Functional connectivity Phase Lag Index (PLI) Oscillations Type 1 diabetes mellitus |
| title | Changes in MEG resting-state networks are related to cognitive decline in type 1 diabetes mellitus patients |
| title_full | Changes in MEG resting-state networks are related to cognitive decline in type 1 diabetes mellitus patients |
| title_fullStr | Changes in MEG resting-state networks are related to cognitive decline in type 1 diabetes mellitus patients |
| title_full_unstemmed | Changes in MEG resting-state networks are related to cognitive decline in type 1 diabetes mellitus patients |
| title_short | Changes in MEG resting-state networks are related to cognitive decline in type 1 diabetes mellitus patients |
| title_sort | changes in meg resting state networks are related to cognitive decline in type 1 diabetes mellitus patients |
| topic | Resting-state networks Magnetoencephalography Functional connectivity Phase Lag Index (PLI) Oscillations Type 1 diabetes mellitus |
| url | http://www.sciencedirect.com/science/article/pii/S2213158214000771 |
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