Concepts and simple questions Flashcards
(42 cards)
FPSmax normalization
Dividing ERF amplitudes by maximum signal during frequency-tagging
N170
Adult ERP component occurring ~170ms after face presentation, sensitive to conscious face perception. Posterior topography.
N290
Infant equivalent of N170, occurring at ~290ms (70% slower due to immature axonal conduction)
FPS
Fast Periodic Stimulation with frequency-tagging approach
Particularly well-suited for immature nervous systems precisely because it doesn’t require precise temporal dynamics ;-)
Permutation clustering
I proposed this to control multiple comparisons while identifying temporal clusters
Active inference
Perception as predictive process combining bottom-up and top-down signals
WP1
Pilot study estimating effect sizes (n=60)
WP2
Main replication with larger sample (n=120-160)
WP3
Heart rate responses to social stimuli
WP4
oMEG validation against sMEG
WP5
Postnatal follow-up with same subjects
Cortical subplate
The cortical subplate is a transient but crucial layer of neurons that forms beneath the developing cerebral cortex during embryonic and early postnatal brain development. It plays several essential roles in cortical formation and connectivity.
Regionally focal response hypothesis in infants
C5 (left, vocal) and P8 (right, faces), Z-test yielding z = 1.64, P < 0.05
Earliest gestational age for recruitment
32 weeks gestation
Time the total session takes for each participant
90 minutes
Visual intensity of the face-like stimulus
12,500 lux [each LED is 5 lumens]. lux = light flux with units lumen per square meter
Do any fetuses visit the lab twice?
Yes, for WP4, half of the participants from Wp2-3 will be tested with both SQUID-MEG and OPM-MEG at separate lab visits in randomized order.
Strategies to calm the infant?
We will blow soap bubbles to relax the infant until the infant achieves a calm, relaxed state
Experiment 1
WP1, 30 minutes total: 20 minutes of ERF trials (10 minutes per stimulus in random order) followed by 10 minutes of FPS (5 minutes per stimulus type in random order)
Experiment 2
WP 2-4, 25 minutes total: 10 minutes of long-duration heart rate trials followed by 10 minutes of ERF trials (one stimulus per participant) and 5 minutes of frequency-tagging.
Experiment 3
WP5, 12.5 - 25 minutes max: 7.5 minutes of ERFs with voice or face photo stimuli, 7.5 minutes of blurred face-like stimuli (if applicable), 5 minutes of frequency tagging with voice or face photos, 5 minutes of frequency tagging with blurred face-like stimuli (if applicable).
MEG preprocessing
FLORA (heart detection), FAUAN (heart artifact removal), 1 - 15 Hz FIR filtering (fetal and neonatal), -200 to +1500 ms epoching
MEG preprocessing specific to neonatal data
Artifact block algorithm by Mourad et al. [learn this], 4 STD channel rejection threshold, 2 pT rejection threshold.
Statistical models
Linear (regression) models with gestational age as a covariate.
My team will use a log-likelihood ratio tests to assess the appropriateness of adding additional factors to
linear models. For example, if biological sex improves the model fit, we will incorporate the additional factor
as a covariate.
Otherwise, unnecessary model complexity will be avoided to prevent overfitting, using stepwise
variable selection if necessary. Furthermore, in the interest of reducing model complexity, my team will fit
separate models for each group of fetuses (forward-facing and control) in the FACE experiments, with the
expectation that only the forward-facing group will yield an effect. To account for multiple testing, we will
control the false discovery rate (FDR) in each WP using the Benjamini-Hochberg correction.