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Frontiers in Human Neuroscience (1)
Pediatric research (1)
Liu, Xun (2)
Fan, Jin (1)
Løberg, Else Marit (1)
Suleiman, M. Saadeh (1)
Thoresen, Marianne (1)
Tooley, James (1)
Wang, Hongbin (1)
Year of Publication
Immediate hypothermia reduces cardiac troponin I following hypoxic-ischemic encephalopathy in newborn pigs
Løberg, Else Marit
Suleiman, M. Saadeh
Neonatal hypoxic-ischemic encephalopathy (HIE) is a clinically defined neurological condition following lack of oxygen and often associated with cardiac dysfunction in term infants. Therapeutic hypothermia after birth is neuroprotective in infants with HIE. However, it is not known whether hypothermia (HT) is also cardioprotective. Four newborn pigs were used in the pilot study and a further 18 newborn pigs (randomly assigned to 72h-normothermia (NT) or 24h-HT followed by 48h-NT) were subjected to global HIE insults. Serum cTnI was measured prior to and post the HIE insult. Blood pressure, inotropic support, blood gases and heart rate (HR) were recorded throughout. Cardiac pathology was assessed from histological sections. Cooling reduced serum cTnI levels significantly in HT pigs by 6h (NT, 1.36±0.67; HT 0.34±0.23 ng/ml, p=0.0009). After rewarming, from 24 to 30h post insult, HR and cTnI increased in the HT group; from HR[24h]=117±22 to HR[30h]=218±32 beats/minute (p=0.0002) and from cTnI[24h]=0.23±0.12 to cTnI[30h]=0.65±0.53ng/ml, (p=0.05). There were fewer ischemic lesions on cardiac examination (37%) in the HT group compared to the NT group (70%). Hypothermia (24h) pigs did not have the post-insult cTnI increase seen in NT treated pigs. There was a trend that HT improved cardiac pathology in this 3-day survival model.
Cognitive Control in Majority Search: A Computational Modeling Approach
Frontiers in Human Neuroscience
Despite the importance of cognitive control in many cognitive tasks involving uncertainty, the computational mechanisms of cognitive control in response to uncertainty remain unclear. In this study, we develop biologically realistic neural network models to investigate the instantiation of cognitive control in a majority function task, where one determines the category to which the majority of items in a group belong. Two models are constructed, both of which include the same set of modules representing task-relevant brain functions and share the same model structure. However, with a critical change of a model parameter setting, the two models implement two different underlying algorithms: one for grouping search (where a subgroup of items are sampled and re-sampled until a congruent sample is found) and the other for self-terminating search (where the items are scanned and counted one-by-one until the majority is decided). The two algorithms hold distinct implications for the involvement of cognitive control. The modeling results show that while both models are able to perform the task, the grouping search model fit the human data better than the self-terminating search model. An examination of the dynamics underlying model performance reveals how cognitive control might be instantiated in the brain for computing the majority function.
cognitive control; uncertainty; majority function; algorithms; computational modeling; neural networks
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