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Relationship: 2838

Title

A descriptive phrase which clearly defines the two KEs being considered and the sequential relationship between them (i.e., which is upstream, and which is downstream). More help

Energy Deposition leads to Impairment, Learning and memory

Upstream event
The causing Key Event (KE) in a Key Event Relationship (KER). More help
Downstream event
The responding Key Event (KE) in a Key Event Relationship (KER). More help

Key Event Relationship Overview

The utility of AOPs for regulatory application is defined, to a large extent, by the confidence and precision with which they facilitate extrapolation of data measured at low levels of biological organisation to predicted outcomes at higher levels of organisation and the extent to which they can link biological effect measurements to their specific causes.Within the AOP framework, the predictive relationships that facilitate extrapolation are represented by the KERs. Consequently, the overall WoE for an AOP is a reflection in part, of the level of confidence in the underlying series of KERs it encompasses. Therefore, describing the KERs in an AOP involves assembling and organising the types of information and evidence that defines the scientific basis for inferring the probable change in, or state of, a downstream KE from the known or measured state of an upstream KE. More help

AOPs Referencing Relationship

AOP Name Adjacency Weight of Evidence Quantitative Understanding Point of Contact Author Status OECD Status
Deposition of Energy Leading to Learning and Memory Impairment non-adjacent Moderate Low Vinita Chauhan (send email) Open for citation & comment WPHA/WNT Endorsed

Taxonomic Applicability

Latin or common names of a species or broader taxonomic grouping (e.g., class, order, family) that help to define the biological applicability domain of the KER.In general, this will be dictated by the more restrictive of the two KEs being linked together by the KER.  More help
Term Scientific Term Evidence Link
human Homo sapiens Low NCBI
mouse Mus musculus High NCBI
rat Rattus norvegicus High NCBI

Sex Applicability

An indication of the the relevant sex for this KER. More help
Sex Evidence
Male High
Female Low

Life Stage Applicability

An indication of the the relevant life stage(s) for this KER.  More help
Term Evidence
Adult High
Old Age Low
Juvenile Low

Key Event Relationship Description

Provides a concise overview of the information given below as well as addressing details that aren’t inherent in the description of the KEs themselves. More help

Deposition of energy from ionizing radiation (IR) can induce biological changes within living systems (UNSCEAR, 1982). The amount of IR absorbed and consequently the amount of damage ensued is quantified by the linear energy transfer (LET) of the radiation. Low-LET radiation consists of electromagnetic ionizing radiation such as X- and gamma rays, as well as protons that deposit smaller amounts of energy, whereas high-LET radiation deposits large amounts of energy and includes heavy ions, alpha particles and high-energy and neutrons. Therefore, high-LET radiation produces dense ionization while low-LET radiation induces sparse ionization events where energy is exponentially absorbed by tissues. 

Deposition of energy can lead to reduced cognitive function related to learning and memory. Impaired learning can be seen as diminished ability to create new associative or non-associative relationships, whereas impaired memory consists of reduced ability to establish sensory, short-term or long-term memories (Desai et al., 2022; Kiffer et al., 2019b). Multiple brain areas are involved in learning and memory processes, with the most well-known occurring in the hippocampal region, as well as the amygdala, the prefrontal cortex, the basal ganglia, and other areas of the neocortex. These regions of the brain have been shown to be affected by deposition of energy (Cucinotta et al., 2014; Desai et al., 2022; NCRP Commentary, 2016).  

Following deposition of energy, the process begins at the macromolecular level from direct damage to neurons and glial cells and via the generation of oxidative stress and promotion of neuroinflammatory environments in the central nervous system (CNS) (Mhatre et al., 2022; Lalkovičová et al., 2022). The altered cellular environment caused by a deposition of energy can impact the functions of both neurons and glial cells, which can promote a persistent pro-inflammatory response, reduced neurogenesis, reduced dendritic spine lengths and density, and the inhibition of neuronal connectivity and synaptic activity (Hladik & Tapio, 2016; Cekanaviciute et al., 2018). In vivo studies link structural and functional changes in neurons and glial cells to a decreased ability to complete cognitive assessments that test various domains of learning and memory.   

Evidence Collection Strategy

Include a description of the approach for identification and assembly of the evidence base for the KER. For evidence identification, include, for example, a description of the sources and dates of information consulted including expert knowledge, databases searched and associated search terms/strings.  Include also a description of study screening criteria and methodology, study quality assessment considerations, the data extraction strategy and links to any repositories/databases of relevant references.Tabular summaries and links to relevant supporting documentation are encouraged, wherever possible. More help

The strategy for collating the evidence to support the relationship is described in Kozbenko et al 2022. Briefly, a scoping review methodology was used to prioritize studies based on a population, exposure, outcome, endpoint statement.

Evidence Supporting this KER

Addresses the scientific evidence supporting KERs in an AOP setting the stage for overall assessment of the AOP. More help

Overall Weight of Evidence: Moderate 

Biological Plausibility
Addresses the biological rationale for a connection between KEupstream and KEdownstream.  This field can also incorporate additional mechanistic details that help inform the relationship between KEs, this is useful when it is not practical/pragmatic to represent these details as separate KEs due to the difficulty or relative infrequency with which it is likely to be measured.   More help

The biological rationale linking deposition of energy to impaired learning and memory is strongly supported in the literature, as reported by several review articles published on the subject (Desai et al., 2022; Kiffer et al., 2019b; Pasqual et al., 2021; NCRP, 2016; Collett et al., 2020; Cucinotta et al., 2014; Hladik & Tapio, 2016; Cekanaviciute et al., 2018; Mhatre et al., 2022; Lalkovičová et al., 2022; Greene-Schloesser et al., 2012; Turnquist et al., 2020; Katsura et al., 2021). It is well established that radiation exposure leads to both acute and chronic elevation in reactive oxygen species (ROS), and this subsequently mediates cell signaling within mature neurons, neural stem cells and glial cells (NCRP, 2016; Mhatre et al., 2022). ROS acts as a second messenger to activate microglia and astrocytes via redox-responsive transcription factor-mediated molecular signaling pathways, and once these glial cells are activated, they can adopt a pro-inflammatory morphology and thus release pro-inflammatory mediators (Hladik & Tapio, 2016; Cucinotta et al., 2014; Collett et al., 2020). Pro-inflammatory mediators such as cytokines mediate the immune response through ligand binding to cell surface receptors that can activate signaling cascades such as JAK-STAT or MAPK pathways to produce or recruit more cytokines (Mousa & Bakhiet, 2013; Prieto & Cotman, 2018). 

Once these inflammatory reactions are initiated, the radiation-activated microglia can alter the functions of neurons. Structurally, the neuron is comprised of the cell body, dendrites, axon, and axon terminals (Lodish et al., 2000). Neurons communicate by electrical and chemical signaling via synapses, where axons from the presynaptic neuron interface with the dendritic arms of the postsynaptic neuron. Deposition of energy inhibits neuronal connectivity and synaptic activity through the loss of dendritic spines as well as dendrite length and branching (Cekanaviciute et al., 2018; Jandial et al., 2018). Overexpression of pro-inflammatory mediators disrupts the integrity of neurons through increased necrosis and demyelination, decreased neurogenesis, decreased neural stem cell proliferation and decreased synaptic complexity (Hladik & Tapio, 2016; Cekanaviciute et al., 2018; Lalkovičová et al., 2022). Together, these radiation-induced neuronal damage and persistent neuroinflammation alter learning and memory capabilities as evidenced by behavioral changes from in vivo studies.  

Uncertainties and Inconsistencies
Addresses inconsistencies or uncertainties in the relationship including the identification of experimental details that may explain apparent deviations from the expected patterns of concordance. More help
  • Most of the evidence for this KER is supported using in vivo rodent models; therefore, there is still a knowledge gap on how radiation exposure realistically alters the brains of other species, such as humans, to lead to impaired learning and memory (Desai et al., 2022). Additionally, further research is needed to gain a better understanding on the sex differences in behavioral effects after radiation exposure (Kiffer et al., 2019b). 

  • Belarbi et al. (2013) did not find any changes in NOR performance after 10 Gy gamma rays. 

  • Forbes et al. (2014) showed impaired ability during NOR tests, but not during NOL tests after 40 Gy X-rays. 

  • Kiffer et al. (2019a) showed impaired ability during NOR tests, but not during Y-maze tests after 0.1 and 0.25 Gy 16O particles. 

  • Miry et al. (2021) showed impaired hippocampal-dependent learning and memory 2 months after 10, 50 and 100 cGy 56Fe exposure, but by 6 months post-exposure, deficits in spatial learning were no longer observed in irradiated mice. Instead, enhanced spatial learning was observed at 12- and 20-months post-exposure. 

Known modulating factors

This table captures specific information on the MF, its properties, how it affects the KER and respective references.1.) What is the modulating factor? Name the factor for which solid evidence exists that it influences this KER. Examples: age, sex, genotype, diet 2.) Details of this modulating factor. Specify which features of this MF are relevant for this KER. Examples: a specific age range or a specific biological age (defined by...); a specific gene mutation or variant, a specific nutrient (deficit or surplus); a sex-specific homone; a certain threshold value (e.g. serum levels of a chemical above...) 3.) Description of how this modulating factor affects this KER. Describe the provable modification of the KER (also quantitatively, if known). Examples: increase or decrease of the magnitude of effect (by a factor of...); change of the time-course of the effect (onset delay by...); alteration of the probability of the effect; increase or decrease of the sensitivity of the downstream effect (by a factor of...) 4.) Provision of supporting scientific evidence for an effect of this MF on this KER. Give a list of references.  More help

Modulating Factor 

Details 

Effects on the KER 

References 

 Drug 

PLX5622-1200ppm (PLX) diet that contains a CSF1-R (colony stimulating factor 1 receptor) inhibitor that induces depletion of microglia within 3 days. 

The PLX diet was able to rescue the short and long-term memory impairments due to radiation exposure. 

Krukowski et al., 2018b; Acharya et al., 2016 

Drug 

Fluoxetine treatment – an antidepressant that belongs to the selective serotonin reuptake inhibitor (SSRI) class. 

Fluoxetine was able to attenuate the learning and memory defects in mice that were subjected to radiation. 

Gan et al., 2019 

Genotype 

CCR2 (chemokine C-C motif receptor 2) knockout. CCR2 is involved in peripheral macrophage infiltration at the sites of injury in the CNS. 

CCR2 deficiency was able to prevent the cognitive impairments induced by cranial radiation as shown by improvements in the MWM test. 

Belarbi et al., 2013 

Drug 

Treatment with α-lipoic acid (LA) as it has antioxidant properties. 

LA-treated mice did not show any significant decline in spatial memory post-irradiation.  

Manda et al., 2007b 

Sex 

Male and female mice responded differently to NOR, three chamber social approach and open field task following irradiation. 

Male animals generally demonstrated memory impairment after irradiation. 

Krukowski et al., 2018a 

Drug 

Treatment with melatonin as it is involved in many physiological processes and has antioxidant properties.  

Pre-treatment with melatonin showed significant protection against impairment in learning ability. Melatonin was found to reduce the time taken to reach the goal in a Hebb-Williams maze compared to irradiation. 

Manda et al., 2007a 

Various modulating factors  

Commonly applied countermeasures include: 

  • Those targeting the reduction of oxidative stress (ie. Pharmaceutical antioxidants, nutritional antioxidants) 

  • Decreasing DNA damage (ie. Overexpression of BMI1 gene to accelerate DNA repair) 

  • Enhancing cell survival (ie. Inhibition of p53-induced apoptosis) 

  • Reducing inflammation (ie. Pharmaceutically blocking pro-inflammatory cytokine/chemokine signaling) 

  • Limiting tissue damage and increasing repair (ie. Cell transplants) 

Various approaches to CNS radioprotection have been utilized as either primarily protective (administered prior to irradiation) or mitigative (administered after irradiation). These countermeasures have been found to limit the harmful effects of radiation exposure. 

Pariset et al., 2021 

Stress  Psychological Stress Psychological stress related to perceived risk of radiation exposure can also impact learning and memory. Collett et al., 2020
Response-response Relationship
Provides sources of data that define the response-response relationships between the KEs.  More help
Time-scale
Information regarding the approximate time-scale of the changes in KEdownstream relative to changes in KEupstream (i.e., do effects on KEdownstream lag those on KEupstream by seconds, minutes, hours, or days?). More help
Known Feedforward/Feedback loops influencing this KER
Define whether there are known positive or negative feedback mechanisms involved and what is understood about their time-course and homeostatic limits. More help

TNF is a key cytokine that can initiate and promote inflammation through the activation of the NFκB pathway in glia cells. In uncontrolled conditions, TNF can lead to the development of neurodegenerative diseases as it can increase the production of pro-inflammatory cytokines and can also lead to elevated levels of iNOS, COX-2, and NOX subunits. These can then activate NADPH oxidases to produce ROS, which can activate the NFκB pathway to amplify the overall TNF/ROS/NFκB responses to promote neuroinflammation. This process ultimately results in a feed-forward loop of chronic neurodegeneration and consequently, impaired learning and memory (Fischer and Maier, 2015).  

Domain of Applicability

A free-text section of the KER description that the developers can use to explain their rationale for the taxonomic, life stage, or sex applicability structured terms. More help

Evidence for this relationship comes from human, rat, and mouse models, with a large amount of evidence in mice and rats. There is in vivo evidence in both male and female animals, with a lot of evidence in males. This relationship has been shown in adult animals in many studies. 

References

List of the literature that was cited for this KER description. More help

Acharya, M. M. et al. (2016), "Elimination of microglia improves cognitive function following cranial irradiation", Scientific Reports, Vol. 6/1, Nature Publishing Group, Berlin, https://doi.org/10.1038/srep31545. 

Azizova, T. V et al. (2020), "Occupational exposure to chronic ionizing radiation increases risk of Parkinson’s disease incidence in Russian Mayak workers", International Journal of Epidemiology, Vol. 49/2, Oxford University Press, Oxford, https://doi.org/10.1093/ije/dyz230. 

Belarbi, K. et al. (2013), "CCR2 deficiency prevents neuronal dysfunction and cognitive impairments induced by cranial irradiation", Cancer Research, Vol. 73/3, American Association for Cancer Research, California, https://doi.org/10.1158/0008-5472.CAN-12-2989.https://doi.org/10.1158/0008-5472.CAN-12-2989 

Bellone, J. A. et al. (2015), "A single low dose of proton radiation induces long-term behavioral and electrophysiological changes in mice", Radiation Research, Vol. 184/2, BioOne, Washington, https://doi.org/10.1667/RR13903.1. 

Britten, R. A. et al. (2012), "Low (20 cGy) doses of 1 GeV/u 56Fe-particle radiation lead to a persistent reduction in the spatial learning ability of rats", Radiation Research, Vol. 177/2, BioOne, Washington, https://doi.org/10.1667/RR2637.1. 

Britten, R. A. et al. (2018), "Impaired Attentional Set-Shifting Performance after Exposure to 5 cGy of 600 MeV/n 28 Si Particles", Radiation Research, Vol. 189/3, BioOne, Washington,  https://doi.org/10.1667/RR14627.1. 

Cekanaviciute, E., S. Rosi and S. V. Costes. (2018), "Central nervous system responses to simulated galactic cosmic rays", International Journal of Molecular Sciences, Multidisciplinary Digital Publishing Institute (MDPI) AG, Basel, https://doi.org/10.3390/ijms19113669. 

Collett, G. et al. (2020), "The psychological consequences of (perceived) ionizing radiation exposure: a review on its role in radiation-induced cognitive dysfunction", International journal of radiation biology, Vol. 96/9, Taylor & Francis Group, London, https://doi.org/10.1080/09553002.2020.1793017. 

Cucinotta, F. A. et al. (2014), "Space radiation risks to the central nervous system", Life Sciences in Space Research, Vol. 2, Elsevier Ltd, Amsterdam, https://doi.org/10.1016/j.lssr.2014.06.003. 

Desai, R. I. et al. (2022), "Impact of spaceflight stressors on behavior and cognition: A molecular, neurochemical, and neurobiological perspective", Neuroscience & Biobehavioral Reviews, Vol. 138, Elsevier, Amsterdam, https://doi.org/10.1016/j.neubiorev.2022.104676. 

Fischer, R. and O. Maier. (2015), "Interrelation of Oxidative Stress and Inflammation in Neurodegenerative Disease: Role of TNF", Oxidative Medicine and Cellular Longevity, Vol. 2015, Hindawi, London, https://doi.org/10.1155/2015/610813. 

Forbes, M. E. et al. (2014), "Early-delayed, radiation-induced cognitive deficits in adult rats are heterogeneous and age-dependent", Radiation Research, Vol. 182/1, BioOne, Washington,  https://doi.org/10.1667/RR13662.1. 

Gan, H. et al. (2019), "Fluoxetine reverses brain radiation and temozolomide-induced anxiety and spatial learning and memory defect in mice", J Neurophysiol, Vol. 121, American Physiology Society, Rockville, https://doi.org/10.1152/jn.00581.2018.-Ra. 

Greene-Schloesser, D. et al. (2012), "Radiation-induced brain injury: A review", Frontiers in Oncology, Vol. 2, Frontiers, Lausanne, https://doi.org/10.3389/fonc.2012.00073. 

Hall, P. et al. (2004), "Effect of low doses of ionising radiation in infancy on cognitive function in adulthood: Swedish population based cohort study", British Medical Journal, Vol. 328/7430, British Medical Journal Publishing Group, London, https://doi.org/10.1136/bmj.328.7430.19

Heisler, J. M. et al. (2015), "The Attentional Set Shifting Task: A Measure of Cognitive Flexibility in Mice", Journal of Visualized Experiments, 96, JoVe, Cambridge, https://doi.org/10.3791/51944. 

Hladik, D. and S. Tapio. (2016), "Effects of ionizing radiation on the mammalian brain", Mutation Research - Reviews in Mutation Research, Vol. 770, Elsevier B.V., Amsterdam, https://doi.org/10.1016/j.mrrev.2016.08.003. 

Hodges, H. et al. (1998), "Late behavioural and neuropathological effects of local brain irradiation in the rat", Behavioural Brain Research, Vol. 91/1–2, Elsevier, Amsterdam, https://doi.org/10.1016/S0166-4328(97)00108-3. 

Impey, S. et al. (2016), "Short- and long-term effects of 56Fe irradiation on cognition and hippocampal DNA methylation and gene expression", BMC Genomics, Vol. 17/1, Springer Nature, Berlin, https://doi.org/10.1186/s12864-016-3110-7

Jandial, R. et al. (2018), "Space–brain: The negative effects of space exposure on the central nervous system", Surgical Neurology International, Vol. 9/1, MedKnow Publications, Mumbai, https://doi.org/10.4103/sni.sni_250_17. 

Jewell, J. S. et al. (2018), "Exposure to ≤15 cgy of 600 mev/n 56 fe particles impairs rule acquisition but not long-term memory in the attentional set-shifting assay", Radiation Research, Vol. 190/6, BioOne, Washington, https://doi.org/10.1667/RR15085.1. 

Katsura, M. et al. (2021), "Recognizing Radiation-induced Changes in the Central Nervous System: Where to Look and What to Look For", RadioGraphics, Vol. 41/1, https://doi.org/10.1148/rg.2021200064. 

Kiffer, F. et al. (2019a), "Late Effects of 16O-Particle Radiation on Female Social and Cognitive Behavior and Hippocampal Physiology", Radiation Research, Vol. 191/3, BioOne, Washington, https://doi.org/10.1667/RR15092.1

Kiffer, F., M. Boerma and A. Allen. (2019b), "Behavioral effects of space radiation: A comprehensive review of animal studies", Life Sciences in Space Research, Vol. 21, Elsevier, Amsterdam, https://doi.org/10.1016/j.lssr.2019.02.004. 

Krukowski, K. et al. (2018b), "Temporary microglia-depletion after cosmic radiation modifies phagocytic activity and prevents cognitive deficits", Scientific Reports, Vol. 8/1, Nature Publishing Group, Berlin, https://doi.org/10.1038/s41598-018-26039-7. 

Krukowski, K. et al. (2018a), "Female mice are protected from space radiation-induced maladaptive responses", Brain, Behavior, and Immunity, Vol. 74, Academic Press Inc., Cambridge, https://doi.org/10.1016/j.bbi.2018.08.008. 

Lalkovičová, M. (2022), "Neuroprotective agents effective against radiation damage of central nervous system", Neural Regeneration Research, Vol. 17/9, https://doi.org/10.4103/1673-5374.335137. 

Lindsay, J. (2002), "Risk Factors for Alzheimer’s Disease: A Prospective Analysis from the Canadian Study of Health and Aging", American Journal of Epidemiology, Vol. 156/5, https://doi.org/10.1093/aje/kwf074

Lodish, H. et al. (2000), "Overview of Neuron Structure and Function", W. H. Freeman, https://www.ncbi.nlm.nih.gov/books/NBK21535/ (accessed October 27, 2021). 

Lonart, G. et al. (2012), "Executive function in rats is impaired by low (20 cGy) doses of 1 GeV/u 56Fe particles", Radiation Research, Vol. 178/4, BioOne, Washington,  https://doi.org/10.1667/RR2862.1. 

Lopes, J. et al. (2022), "Risk of Developing Non-Cancerous Central Nervous System Diseases Due to Ionizing Radiation Exposure during Adulthood: Systematic Review and Meta-Analyses", Brain Sciences, Vol. 12/8, Multi-Disciplinary Digital Publishing Institute (MDPI), Basel, https://doi.org/10.3390/brainsci12080984. 

Manda, K. et al. (2007a), "Melatonin attenuates radiation-induced learning deficit and brain oxidative stress in mice", Acta Neurobiologiae Experimentalis, Vol. 67/1. 

Manda, K. et al. (2007b), "Radiation-induced cognitive dysfunction and cerebellar oxidative stress in mice: Protective effect of α-lipoic acid", Behavioural Brain Research, Vol. 177/1, Elsevier, Amsterdam, https://doi.org/10.1016/j.bbr.2006.11.013. 

Mhatre, S. D. et al. (2022), "Neuro-consequences of the spaceflight environment", Neuroscience & Biobehavioral Reviews, Vol. 132, Elsevier, Amsterdam, https://doi.org/10.1016/j.neubiorev.2021.09.055. 

Miry, O. et al. (2021), "Life-long brain compensatory responses to galactic cosmic radiation exposure", Scientific Reports 2021 11:1, Vol. 11/1, Nature Publishing Group, https://doi.org/10.1038/s41598-021-83447-y

Mousa, A. and M. Bakhiet. (2013), "Role of Cytokine Signaling during Nervous System Development", International Journal of Molecular Sciences, Vol. 14/7, Multidisciplinary digital Publishing Institute (MDPI), Basel, https://doi.org/10.3390/ijms140713931. 

National Council on Radiation Protection and Measures (NCRP). (2016). Commentary No. 25 – Potential for central nervous system effects from radiation exposure during space activities phase I: Overview.  

Parihar, V. K. et al. (2016), "Cosmic radiation exposure and persistent cognitive dysfunction", Scientific Reports, Vol. 6/1, Nature Publishing Group, Berlin, https://doi.org/10.1038/srep34774. 

Parihar, V. K. et al. (2015), "What happens to your brain on the way to Mars", Science Advances, Vol. 1/4, American Association for the Advancement of Science, Washington, https://doi.org/10.1126/sciadv.1400256. 

Parihar, V. K. et al. (2018), "Persistent nature of alterations in cognition and neuronal circuit excitability after exposure to simulated cosmic radiation in mice", Experimental Neurology, Vol. 305, Academic Press Inc., Cambridge, https://doi.org/10.1016/j.expneurol.2018.03.009. 

Pariset, E. et al. (2021), "Ionizing radiation-induced risks to the central nervous system and countermeasures in cellular and rodent models", International Journal of Radiation Biology, Vol. 97/sup1, Taylor & Francis Group, London, https://doi.org/10.1080/09553002.2020.1820598. 

Pasqual, E. et al. (2021), "Cognitive effects of low dose of ionizing radiation – Lessons learned and research gaps from epidemiological and biological studies", Environment International, Vol. 147, Elsevier, Amsterdam, https://doi.org/10.1016/j.envint.2020.106295. 

Prieto, G. A. and C. W. Cotman. (2017), "Cytokines and cytokine networks target neurons to modulate long-term potentiation", Cytokine & Growth Factor Reviews, Vol. 34, Elsevier, Amsterdam, https://doi.org/10.1016/j.cytogfr.2017.03.005. 

Rabin, B. M. et al. (2012), "Interaction between age of irradiation and age of testing in the disruption of operant performance using a ground-based model for exposure to cosmic rays", Age, Vol. 34/1, Springer Nature, Berlin, https://doi.org/10.1007/s11357-011-9226-4. 

Rabin, B. M. et al. (2015), "Acute effects of exposure to 56Fe and 16O particles on learning and memory", Radiation Research, Vol. 184/2, BioOne, Washington, https://doi.org/10.1667/RR13935.1. 

Rabin, B. M., B. Shukitt-Hale and K. L. Carrihill-Knoll. (2014), "Effects of Age on the Disruption of Cognitive Performance by Exposure to Space Radiation", Journal of Behavioral and Brain Science, Vol. 04/07, Scientific Research Publishing, Inc, Wuhan, https://doi.org/10.4236/jbbs.2014.47031

Turnquist, C., B. T. Harris and C. C. Harris. (2020), "Radiation-induced brain injury: current concepts and therapeutic strategies targeting neuroinflammation", Neuro-Oncology Advances, Vol. 2/1, Oxford University Press, Oxford, https://doi.org/10.1093/noajnl/vdaa057.