Brain Network analysis in early onset dementias: Magnetoencephalographic measurements.
- Conditions
- Cognitive ImpairmentDementia1004225810012272
- Registration Number
- NL-OMON41293
- Lead Sponsor
- Vrije Universiteit Medisch Centrum
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Completed
- Sex
- Not specified
- Target Recruitment
- 120
- 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.
- 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.
Study & Design
- Study Type
- Observational non invasive
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method <p>Primary end points are differences in measures of coupling and organization of<br /><br>MEG functional brain networks between the subject groups. These measures<br /><br>(specified below) are computed after signal pre-processing described by<br /><br>Hillebrand et al. in 2012 with the title: Frequency-dependent functional<br /><br>connectivity within resting-state networks: an atlas-based MEG beamformer<br /><br>solution.<br /><br>Functional coupling measure as main study parameter is the Phase Lag Index<br /><br>(PLI). Network measures that will be computed are: clustering coefficient, path<br /><br>length, degree correlation, and modularity (with Synchronization Likelihood as<br /><br>coupling measure (18;19). Correlations of these measures with cognitive<br /><br>performance are generated in the patient groups.</p><br>
- Secondary Outcome Measures
Name Time Method <p>Secundary endpoints of the study are:<br /><br>- relationship of basic quantitative measures (band power, peak frequency) with<br /><br>cognition.<br /><br>- location of important points in the network (hubs) and the relationship with<br /><br>cognitive performance.<br /><br>- The Minimal Spanning Tree (MST) configuration, as a different way to<br /><br>construct a brain network (20), and the relationship with cognitive performance<br /><br>in the patients.</p><br>