To investigate the effect of dopamine-related genetic polymorphisms on resting-state fMRI measures of network functional and structural connectivity.
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- Other condition
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Health condition
wetenschappelijk onderzoek met gezonde vrijwilligers
Research involving
Sponsors and support
Intervention
Outcome measures
Primary outcome
~MRI data acquisition~
Following the approved protocol P13.282 *Norepinephrine and neural processing*,
functional neuroimaging will be performed at the 3T fMRI scanner of the LIBC,
located in the the LUMC. One resting state fMRI scan series for functional
connectivity lasts approximately 8 minutes, whereas a series for structural
connectivity lasts approximately 10 minutes. For registration purposes, one
T1-weighted scan will be acquired for each subject.
~DNA samples~
Following the approved protocol FC02 *Fludrocortisone and depression-related
cognition*, genetic profile will be determined by collecting mucus with buccal
swabs, i.e. swabbing the inside of one*s cheek. Buccal swabs will only be used
for the purposes described and will be stored at FSW at -20 °C after completion
of the session until biochemical analysis takes place.
~Statistical analysis~
Results of each subject will be compared based on genotype, using analysis of
variance. This approach permits detecting differences in resting-state brain
activity and structural connectivity between individuals of different
genotypes.
Secondary outcome
n.v.t.
Background summary
Dopamine (DA) plays a key role in the regulation of human cognition. For
instance, from a cognitive perspective DA is thought to modulate the balance
between stable versus flexible cognitive representations, whereas from a
biological perspective it is thought to regulate the interplay between the
prefrontal cortex (PFC) and the striatum (Cools & D*Esposito, 2011). The
importance of DA to everyday cognitive-behavioral functioning is illustrated by
cases in which the DA system is severely dysregulated, for example in
Parkinson*s disease (Dauer & Przedborski, 2003) and schizophrenia (Howes,
McCutcheon, & Stone, 2015).
~Genetic variation in DA function~
Many studies have shown a crucial role for inter-individual differences in DA
function. Such differences have been found to affect both cognition and the
interplay between the PFC and striatum. So far, progress has been made in
identifying genetic markers that can account, in part, for these differences.
In particular, the enzyme catechol O-methyltransferase is responsible for
degradation of DA in the PFC (Karoum, Chrapusta, & Egan, 1994), whereas the DA
transporter (DAT) is responsible for DA reuptake in the striatum (Sesack,
Hawrylak, Matus, Guido & Levey, 1998). Variations in the COMT and DAT genes are
known to affect prefrontal and striatal DA levels, respectively, and have
received increasing attention as possible modulators of cognitive control
functions (Cools & D*Esposito, 2010). Common variations in the DAT gene are 9
and 10-repeat alleles, which are associated with higher and lower striatal DA
level, respectively. On the other hand, common variations in the COMT gene are
a substitution of a Met for a Val allele, with Met carriers having higher
prefrontal DA levels than Val carriers. In light of this information it is
interesting to note that Bertolino et al. ( 2006) showed that these
polymorphisms, while targeting one specific area, can modulate the function of
both the PFC and striatum. Their findings indicated that brain-activation
patterns of individuals with putatively low striatal DA (10-repeat carriers of
DAT) resembled that seen in subjects with putatively high prefrontal DA levels
(Met carriers of COMT).
In the present study we wish to extend these findings by investigating
the effects of DA-related gene polymorphisms (COMT, DAT) not only on structural
connectivity in the brain but functional connectivity as well. Structural
connectivity is assessed using diffusion tensor imaging (DTI), which quantifies
the density of white matter tracts. In light of the aforementioned findings by
Bertolino et al. (2006), we expect that carriers of the 9-repeat allele of the
DAT gene, who have higher striatal DA, will have increased white matter
connectivity in the striatum, relative to 10-repeat allele carriers and Met
carriers of COMT. Further, we will assess functional connectivity using
resting-state brain-activation patterns, and we expect that individuals with a
genetic predisposition towards higher striatal activation will concurrently
have lower PFC activation.
Study objective
To investigate the effect of dopamine-related genetic polymorphisms on
resting-state fMRI measures of network functional and structural connectivity.
Study design
~Design~
The proposed study will use a between-subjects design, with genotype as
between-subjects factor.
~General procedure~
The proposed study will consist of one session of fMRI data collection. The
study is carried out in the fMRI room on the first floor. Upon arrival buccal
swabs are used to collect genetic material. fMRI data collection will take
approximately 30 minutes per session, during which both functional and
structural connectivity is assessed.
~Session time line~
Session 1
-20 min. Arrival 5 min.
-15 min. Collect DNA via buccal swabs 5 min.
-10 min. Transfer to fMRI room / change into MRI clothes 10 min.
0 min. MRI: T1 and resting state 30 min.
30 min. Subject leaves scanner 5 min.
35 min. Debriefing 5 min.
40 min. End of experiment
60 min. total duration
Study burden and risks
There are no known risks associated with participating in an fMRI study.
Numerous human subjects have undergone MRI without apparent harmful
consequences. Radiofrequency power levels and gradient switching times used in
these studies are within the FDA-approved ranges. Some people become
claustrophobic while inside the scanner and in these cases the study will be
terminated immediately at the subject's request.
Wassenaarseweg 52
Leiden 2333 AK
NL
Wassenaarseweg 52
Leiden 2333 AK
NL
Listed location countries
Age
Inclusion criteria
Healthy right-handed subjects, who have no personal relationship with the researchers.
Female subjects will be taking hormonal contraceptive medication to limit fluctuations in dopamine function associated with the menstruation cycle
Exclusion criteria
Significant history of head trauma, learning disabilities, neurological or psychiatric illness, use of anti-depressants or psychotropic medication, and possible pregnancy (in adult females).
Smoking, to avoid nicotine withdrawal effects during the study.
MRI contra-indications, including metal implants and claustrophobia.
Alcohol consumption < 24 hours before drug intake, caffeine consumption < 3 hours before drug intake
Design
Recruitment
Followed up by the following (possibly more current) registration
No registrations found.
Other (possibly less up-to-date) registrations in this register
No registrations found.
In other registers
Register | ID |
---|---|
CCMO | NL57592.058.16 |