PMID- 26441619
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20151007
LR  - 20200930
IS  - 1662-5188 (Print)
IS  - 1662-5188 (Electronic)
IS  - 1662-5188 (Linking)
VI  - 9
DP  - 2015
TI  - Neurovascular coupling: a parallel implementation.
PG  - 109
LID - 10.3389/fncom.2015.00109 [doi]
LID - 109
AB  - A numerical model of neurovascular coupling (NVC) is presented based on neuronal 
      activity coupled to vasodilation/contraction models via the astrocytic mediated 
      perivascular K(+) and the smooth muscle cell (SMC) Ca(2+) pathway termed a 
      neurovascular unit (NVU). Luminal agonists acting on P2Y receptors on the 
      endothelial cell (EC) surface provide a flux of inositol trisphosphate (IP3) into 
      the endothelial cytosol. This concentration of IP3 is transported via gap 
      junctions between EC and SMC providing a source of sarcoplasmic derived Ca(2+) in 
      the SMC. The model is able to relate a neuronal input signal to the corresponding 
      vessel reaction (contraction or dilation). A tissue slice consisting of blocks, 
      each of which contain an NVU is connected to a space filling H-tree, simulating a 
      perfusing arterial tree (vasculature) The model couples the NVUs to the vascular 
      tree via a stretch mediated Ca(2+) channel on both the EC and SMC. The SMC is 
      induced to oscillate by increasing an agonist flux in the EC and hence increased 
      IP3 induced Ca(2+) from the SMC stores with the resulting calcium-induced calcium 
      release (CICR) oscillation inhibiting NVC thereby relating blood flow to vessel 
      contraction and dilation following neuronal activation. The coupling between the 
      vasculature and the set of NVUs is relatively weak for the case with agonist 
      induced where only the Ca(2+) in cells inside the activated area becomes 
      oscillatory however, the radii of vessels both inside and outside the activated 
      area oscillate (albeit small for those outside). In addition the oscillation 
      profile differs between coupled and decoupled states with the time required to 
      refill the cytosol with decreasing Ca(2+) and increasing frequency with coupling. 
      The solution algorithm is shown to have excellent weak and strong scaling. 
      Results have been generated for tissue slices containing up to 4096 blocks.
FAU - Dormanns, Katharina
AU  - Dormanns K
AD  - UC HPC Supercomputing Centre, University of Canterbury Christchurch, New Zealand.
FAU - Brown, Richard G
AU  - Brown RG
AD  - Institution of Mathematical Sciences, Massey University Palmerston North, New 
      Zealand.
FAU - David, Tim
AU  - David T
AD  - UC HPC Supercomputing Centre, University of Canterbury Christchurch, New Zealand.
LA  - eng
PT  - Journal Article
DEP - 20150915
PL  - Switzerland
TA  - Front Comput Neurosci
JT  - Frontiers in computational neuroscience
JID - 101477956
PMC - PMC4569750
OTO - NOTNLM
OT  - agonistic behavior
OT  - computational biology
OT  - neurovascular coupling
OT  - neurovascular unit
OT  - parallel computing
EDAT- 2015/10/07 06:00
MHDA- 2015/10/07 06:01
PMCR- 2015/01/01
CRDT- 2015/10/07 06:00
PHST- 2015/05/04 00:00 [received]
PHST- 2015/08/24 00:00 [accepted]
PHST- 2015/10/07 06:00 [entrez]
PHST- 2015/10/07 06:00 [pubmed]
PHST- 2015/10/07 06:01 [medline]
PHST- 2015/01/01 00:00 [pmc-release]
AID - 10.3389/fncom.2015.00109 [doi]
PST - epublish
SO  - Front Comput Neurosci. 2015 Sep 15;9:109. doi: 10.3389/fncom.2015.00109. 
      eCollection 2015.