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dc.contributor.authorMaia, Pedro
dc.contributor.authorKutz, J. Nathan
dc.date.accessioned2021-06-09T17:01:45Z
dc.date.available2021-06-09T17:01:45Z
dc.date.issued2017-04
dc.identifier.urihttp://hdl.handle.net/10106/29917
dc.description.abstract**Please note that the full text is embargoed** ABSTRACT: The presence of diffuse Focal Axonal Swellings (FAS) is a hallmark cellular feature in many neurological diseases and traumatic brain injury. Among other things, the FAS have a significant impact on spike-train encodings that propagate through the affected neurons, leading to compromised signal processing on a neuronal network level. This work merges, for the first time, three fields of study: (i) signal processing in excitatory-inhibitory (EI) networks of neurons via population codes, (ii) decision-making theory driven by the production of evidence from stimulus, and (iii) compromised spike-train propagation through FAS. As such, we demonstrate a mathematical architecture capable of characterizing compromised decision-making driven by cellular mechanisms. The computational model also leads to several novel predictions and diagnostics for understanding injury level and cognitive deficits, including a key finding that decision-making reaction times, rather than accuracy, are indicative of network level damage. The results have a number of translational implications, including that the level of network damage can be characterized by the reaction times in simple cognitive and motor tests. [This is a post-peer-review, pre-copyedit version of an article published in Journal of Computational Neuroscience. The final authenticated version is available online at:https://link.springer.com/article/10.1007/s10827-017-0643-y]en_US
dc.language.isoen_USen_US
dc.publisherSpringer Natureen_US
dc.relation.ispartofseriesJournal of Computational Neuroscience;
dc.subjectAlzheimeren_US
dc.subjectFocal Axonal Swellingsen_US
dc.subjectCognitive Deficitsen_US
dc.subjectDecision Makingen_US
dc.subjectNeural Networksen_US
dc.subjectNeurological Diseasesen_US
dc.subjectMultiple Sclerosisen_US
dc.subjectParkinsonen_US
dc.subjectTraumatic Brain Injuryen_US
dc.titleReaction time impairments in decision-making networks as a diagnostic marker for traumatic brain injuries and neurological diseasesen_US
dc.typeArticleen_US


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