ArticleJournal of computational neuroscience2017
Reaction time impairments in decision-making networks as a diagnostic marker for traumatic brain injuries and neurological diseases.
Article in Journal of computational neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 24 citations in OpenAlex.
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- Acupuncture Effect on Reaction-Time Changes in Parkinson's Disease Patients-Case Study Series.Journal of clinical medicine · 2024Article
- A high-efficiency model indicating the role of inhibition in the resilience of neuronal networks to damage resulting from traumatic injury.Journal of computational neuroscience · 2023Article
- Generalised exponential-Gaussian distribution: a method for neural reaction time analysis.Cognitive neurodynamics · 2023Article
- A Computational Model for Pain Processing in the Dorsal Horn Following Axonal Damage to Receptor Fibers.Brain sciences · 2021Article
- Built to Last: Functional and Structural Mechanisms in the Moth Olfactory Network Mitigate Effects of Neural Injury.Brain sciences · 2021Article
- Slow-gamma frequencies are optimally guarded against effects of neurodegenerative diseases and traumatic brain injuries.Journal of computational neuroscience · 2019Article
- Biological Mechanisms for Learning: A Computational Model of Olfactory Learning in theFrontiers in computational neuroscience · 2018Article
- Preventing Neurodegenerative Memory Loss in Hopfield Neuronal Networks Using Cerebral Organoids or External Microelectronics.Computational and mathematical methods in medicine · 2017Article
- Estimating Memory Deterioration Rates Following Neurodegeneration and Traumatic Brain Injuries in a Hopfield Network Model.Frontiers in neuroscience · 2017Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.