Brain Network analysis in early onset dementias: Magnetoencephalographic measurements.

Brain Network analysis in early onset dementias: Magnetoencephalographic measurements. - Brain Network analysis in early onset dementias.

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

NL-OMON

Registry ID

NL-OMON41293

Enrollment

120

Registered

2013-05-07

Start date

2013-07-01

Completion date

Unknown

Last updated

2024-04-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cognitive Impairment Dementia

Interventions

None listed

Eligibility

Age

18 Years to 99 Years

Inclusion criteria

Inclusion criteria: - For the patient group: diagnosis of one of the following types of dementia: AD, FTD, SD/PPA, CBD or PSP/DLB. - For the control group: no past history of cognitive disabilities or other neurological or other disease possibly interfering with the analysis. - MMSE-score of 18 or higher. - Age 70 years or younger at the time of participation. - Written informed consent.

Exclusion criteria

Exclusion criteria: - Previous brain surgery. - Insufficient mastery of Dutch or English language. - Conditions that will cause excessive MEG artefact (cardiac pacemaker / cardiac or neural defibrillators, metal fragments in the eyes, metal plates, pins or bolts in head, any magnetic implantation / implantations made from iron (ferrous products) - For the patient group: lack of MRI examination performed in the last three years or lack of neuropsychological examination performed in the last twelve months. - For the control group: no conducted MRI in the past three years and unable to undergo MRI examination or neuropsychological testing, cognitive deficits.

Design outcomes

Primary

Measure	Time frame
Primary end points are differences in measures of coupling and organization of MEG functional brain networks between the subject groups. These measures (specified below) are computed after signal pre-processing described by Hillebrand et al. in 2012 with the title: "Frequency-dependent functional connectivity within resting-state networks: an atlas-based MEG beamformer solution". Functional coupling measure as main study parameter is the Phase Lag Index (PLI). Network measures that will be computed are: clustering coefficient, path length, degree correlation, and modularity (with Synchronization Likelihood as coupling measure (18;19). Correlations of these measures with cognitive performance are generated in the patient groups.	—

Measure

Time frame

Primary end points are differences in measures of coupling and organization of MEG functional brain networks between the subject groups. These measures (specified below) are computed after signal pre-processing described by Hillebrand et al. in 2012 with the title: "Frequency-dependent functional connectivity within resting-state networks: an atlas-based MEG beamformer solution". Functional coupling measure as main study parameter is the Phase Lag Index (PLI). Network measures that will be computed are: clustering coefficient, path length, degree correlation, and modularity (with Synchronization Likelihood as coupling measure (18;19). Correlations of these measures with cognitive performance are generated in the patient groups.

—

Secondary

Measure	Time frame
Secundary endpoints of the study are: - relationship of basic quantitative measures (band power, peak frequency) with cognition. - location of important points in the network (hubs) and the relationship with cognitive performance. - The Minimal Spanning Tree (MST) configuration, as a different way to construct a brain network (20), and the relationship with cognitive performance in the patients.	—

Countries

Netherlands

Outcome results