Mock Exam Flashcards
Which statement is correct?
A. EEG signals can be used to reconstruct the underlying sources, which correspond to fMRI
sources
B. EEG has the same temporal resolution as fMRI
C. The temporal resolution of EEG depends on the resolution of blood flow response
D. EEG and fRMI reflect activity of partly differnt sources
D. EEG and fRMI reflect activity of partly differnt sources
For binary undirected networks, matrix elements are …
A. represented in a symmetric matrix with elements either 0 (connection does not exist) or 1 (connection exists).
B. represented in an unsymmetrical matrix with continuous values ranging from strong (high-valued number) to weak (low-valued number).
C. represented in an unsymmetrical matrix with elements either 0 (connection does not exist) or 1 (connection exists).
D.representedinsymmetricmatrixwith continuous values ranging from strong (high valued number) to weak (low valued number).
A. represented inasymmetric matrix with elements either 0 (connection does not exist) or 1 (connection exists).
**Another class of BCIs use motor imagery as control strategy which allows voluntary modulation of the sensorimotor rhythm (SMR). When imagining moving a hand or foot, this modulation consists of…
**
A. an increase in frequency of the SMR
B. a decrease in frequency of the SMR
C. an increase in power of the SMR
D. a decrease in power of the SMR
D. a decrease in power of the SMR
Which brain region(s) show(s) the highest correspondence in structural and functional connectivity?
A. Default Mode Network
B. The rich club
C. Fronto-parietal network
D. Thalamus
A. Default Mode Network
Which of the following statement about manual segmentation approaches is NOT true
A. They have a good inter-protocol consistency
B. They remain the gold standard for volumetric analyses
C. They are ideal for delineation of structures with intricate anatomy/multiple subregions
D. They are well-suited for smaller studies with focused hypothesis
A. They have a good inter-protocol consistency
Methods for the analysis of functional connectivity do not include
A. Eigenimage analysis.
B. Multi-voxel pattern analysis
C. Seed-voxel correlation
D. Independent component analysis
B. Multi-voxel pattern analysis
“Mass-univariate analysis” means …
A. that a general linear model with just one regressor isused
B. that a searchlight-based analysis is performed
C. that the signals from all voxels are analyzed together
D. that the signals from all voxels are analyzed separately
D. that the signals from all voxels are analyzed separately
**The typical SPM preprocessing pipeline as presented in the lecture comprises… **
A. four preprocessing steps
B. six preprocessing steps
C. five preprocessing steps
D. three preprocessing steps
B. six preprocessing steps
Parametric regressors allow to …
A. replace HRF-convolved regressors with data about event strength
B. demonstrate modulation of the fMRI signal by event strength
C. estimate non-linear effects of event strength on the fMRI signal
D.demonstrate correlation of the fMRI signal with event strength
B. demonstrate modulation of the fMRI signal by event strength
Not sure about this one!
Which statement regarding the temporal properties of the hemodynamic response function (HRF) is correct?
A. Even with careful experimental design a temporal resolution below approximately 1.6
seconds cannot be achieved
B. If you decrease the repetition time (TR),the duration of the HRF increases
C. If you decrease the repetition time (TR),the duration of the HRF decreases
D. Even with careful experimental design a temporal resolution can be pushed to approximately 100 milliseconds
D. Even with careful experimental design a temporal resolution can be pushed to approximately 100 milliseconds
possible using multiband imaging and simultaneous multi-slice acquisition
Motion-correction/realignment comprises two major steps …
A. above subject image registration and resampling
B. below subject image registration and resampling
C. within subject image registration and resampling
D. between subject image registration and resampling
C. within subject image registration and resampling
The objective of ordinary least squares is …
A .to maximize the canonical correlation of data and design
B. to minimize the sum of squared errors
C. to minimize the variance of the implicit baseline regressor
D. to maximize estimated model parameters
B. to minimize the sum of squared errors
