Affiliations 

  • 1 Universiti Kebangsaan Malaysia
  • 2 KPJ Healthcare University College
  • 3 Universiti Kebangsaan Malaysia Medical Centre
Jurnal Sains Kesihatan Malaysia, 2018;16(2):101-111.
MyJurnal

Abstract

Inferior parietal lobule (IPL) and inferior temporal gyrus (ITG) are two important brain regions for the default mode
network (DMN). IPL has been known to be involved in the control of attention and responding to given information while
ITG is involved in the processing and perception awakened by visual stimuli. These two key DMN regions are highly
interconnected as determined from white matter and fiber tracking studies. However, little is known about their nature
of connectivity while the brain is at rest, whether it is linear, bilinear or nonlinear and whether it is of mono- or bidirection. Resting state functional magnetic resonance imaging (rsfMRI) data were obtained from 7 healthy male and
female participants (average age = 20.7 ± 4.5 years) and were concatenated. Data were analyzed using statistical
parametric mapping (SPM12). Endogenous brain signals were modelled by Fourier series at 0.01 – 0.08 Hz. IPL-ITG
connected linear, bilinear and non-linear causal models in both hemispheres were constructed and estimated by means of
stochastic dynamic causal modelling (sDCM) and were compared using Bayesian Model Selection (BMS) for group studies.
Group fixed-effects results indicated that bilateral IPL and ITG exhibited high neural activity at a corrected significant
level (pFWE < 0.05). Neural activity was centered in ITG (-32/2/-38) in the left hemisphere but shifted to IPL (32/-38/50) in
the right hemisphere indicating different control center for both hemispheres. BMS selected bilinear model as the optimal
model for both hemispheres (model posterior probability ~ 1.0; log evidence > 1000) which has the best balance between
model accuracy and difficulty. The minimum free energy (F) = -4.41 × 104
and -4.09 × 104
for left and right hemisphere
bilinear models respectively. From BMS and DCM results, it was found that IPL and ITG do have a dynamic collaboration
between each other, a connectivity that belongs to a greater network when the brain is at rest. The intrinsic connections
between them are negative in both directions i.e. IPL and ITG mutually inhibited each other. The effective connectivity
was modulated by the endogenous fluctuation of the brain signal.