<Paper reading>总

paper0002：

• apply principal component analysis to the wavelet correlation matrix to produce frequency-specific eigenimages
• 1/f property
  引用0069: Wavelets and functional magnetic resonance imaging of the human brain

Depression uncouples brain hate circuit

• Significant correlation between two ROIs may be spurious, that is, a by-product of the correlations of the two ROIs with a third region. To find out whether the correlation for the two ROIs is genuine, the third ROI should be kept constant. Statistically, this problem can be tackled by means of a partial correlation test.
• six communities correspond to six resting-state networks (RSN)
  
  • default mode network (RSN1) :
    -ACG(Anterior cingulate gyrus)
    -ANG(Angular gyrus)
    -REC(Rectus gyrus)
    -PCG(Posterior cingulate gyrus)
    -SFGmed(Superior frontal gyrus (medial))
    -ORBmed(Orbitofrontal cortex (medial))
    -SFGdor(Superior frontal gyrus (dorsal))
    -MTG(Middle temporal gyrus)
    -TPOmid(Temporal pole (middle))
    -PCUN(Precuneus)
  • attention network (RSN2):
    -SPG(Superior parietal gyrus)
    -ORBsup(Orbitofrontal cortex (superior))
    -MFG(Middle frontal gyrus)
    -ORBinf(Orbitofrontal cortex (inferior))
    -IFGtriang(Inferior frontal gyrus (triangular))
    -ORBmid(Orbitofrontal cortex (middle))
    -IPL(Inferior parietal lobule)
    -IFGoperc(Inferior frontal gyrus (opercula))
  • visual recognition network (RSN3) :
    -LING(Lingual gyrus)
    -IOG(Inferior occipital gyrus)
    -FFG(Fusiform gyrus)
    -CUN(Cuneus)
    -CAL(Calcarine cortex)
    -SOG(Superior occipital gyrus)
    -MOG(Middle occipital gyrus)
  • auditory network (RSN4):
    -STG(Superior temporal gyrus)
    -SMG(Supramarginal gyrus)
    -ROL(Rolandic operculum)
    -HES(Heschl gyrus)
    -INS(Insula)
    -TPOsup(Temporal pole (superior))
  • sensory-motor areas (RSN5):
    -PreCG(Precentral gyrus)
    -PCL(Paracentral lobule)
    -PoCG(Postcentral gyrus)
    -SMA(Supplementary motor area)
  • subcortical network (RSN6):
    -OLF(Olfactory)
    -THA(Thalamus)
    -PUT(Putamen)
    -HIP(Hippocampus)
    -CAU(Caudate)
    -AMYG(Amygdala)
    -MCG(Middle cingulate gyrus)
    -ITG(Inferior temporal gyrus)
    -PHG(Parahippocampal gyrus)
    -PAL(Pallidum)

<201707 Human Brain Mapping> Dynamic brain connectivity is a better predictor of PTSD than static connectivity

• we test the hypothesis that subjects with post-traumatic stress disorder (PTSD) are characterized by reduced temporal variability of brain connectivity compared to matched healthy controls.
• Static functional connectivity (FC; nondirectional zero-lag correlation) and static effective connectivity (EC; directional time-lagged relationships) were obtained over the entire brain using conventional models.
• Dynamic FC and dynamic EC were estimated by letting the conventional models to vary as a function of time.
• Our findings support our hypothesis that PTSD subjects have stronger static connectivity, but reduced temporal variability of connectivity.
• For obtaining DFC(dynamic FC), we employed moving-windowed Pearson’s correlation with window length being determined adaptively by the augmented Dickey–fuller unit root test (ADF test)
• For obtaining DEC(dynamic EC), we employed dynamic Granger causality (DGC) while correlation-purged Granger causality (CPGC) was used as the static EC (SEC) measure.