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  Deficits in fronto-parietal neuronal activity in a preclinical animal model of attention deficit hyperactivity disorder (ADHD)


   Faculty of Biology, Medicine and Health

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  Dr John Gigg, Prof J Neill  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

ADHD is the most common childhood disorder. It persists into adulthood and recently identified sub-types present a particular therapeutic challenge. There is urgent need to understand ADHD sub-type pathophysiology and develop improved treatment strategies. A major step in achieving this goal was the development of a new model system in the rat by Professor Jo Neill’s group. This separates rats into sub-types relating to those identified in humans using the translational 5-choice continuous performance test (5C-CPT). As this test assesses the constructs of sustained attention, impulsive action and behavioural disinhibition, it translates extremely well to the clinic, providing a validated animal model for the core symptoms of adult ADHD.

Ritalin is the most widely prescribed ADHD medication. We have identified an unique electrophysiological signature of Ritalin in the brains of anaesthetised rats (Gigg & Neill labs); it appears to increase fronto-parietal network EEG activity, supporting a potential mechanism of action in improving attention. A major problem with Ritalin, however, is the pronounced abuse liability; validating novel compounds without such addictive properties is a priority. Our hypothesis is that the efficacy of Ritalin in low-attentive rats in the 5C-CPT is mediated by augmented coherence in alpha, beta and gamma EEG bands in the awake state. We further predict that improvement in these behavioural and EEG markers for ADHD will require increased dopaminergic neurotransmission. To investigate these assertions the student will be trained to separate rats by their 5C-CPT performance at test and then implant electrodes into frontal and parietal cortices. Recordings of EEG and single unit activity will be made from these regions in the presence of conventional and novel ADHD compounds during behavioural challenge. Overall, the project will reveal the underlying brain changes in ADHD and how conventional and novel medications play a role in reversing these deficits.

Applicants should hold (or expect to obtain) a minimum upper-second honours degree (or equivalent) in a relevant subject area. A Masters qualification in a similar area would be a significant advantage.

Funding Notes

This project has a Band 2 fee. Details of our different fee bands can be found on our website (https://www.bmh.manchester.ac.uk/study/research/fees/). For information on how to apply for this project, please visit the Faculty of Biology, Medicine and Health Doctoral Academy website (https://www.bmh.manchester.ac.uk/study/research/apply/). Informal enquiries may be made directly to the primary supervisor.

References

Hayward, A., Tomlinson, A., & Neill, J. C. (2016). Low attentive and high impulsive rats: A translational animal model of ADHD and disorders of attention and impulse control. Pharmacol Ther, 158, 41-51.

Davis, K, Fox S, Gigg J. Increased hippocampal excitability in the 3xTgAD mouse model for Alzheimer's disease in vivo. PLoS One, 2014, 9: e91203.

Tomlinson A, Grayson B, Marsh S, Hayward A, Marshall KM, Neill JC. Putative therapeutic targets for symptom subtypes of adult ADHD: D4 receptor agonism and COMT inhibition improve attention and response, inhibition in a novel translational animal model. Eur. Neuropsychopharmacology, 2015, 25: 454-467.

Tomlinson A, Grayson B, Marsh S, Harte MK, Barnes SA, Marshall KM, Neill JC Pay attention to impulsivity: modelling low attentive and high impulsive subtypes of adult ADHD in the 5-choice continuous performance task (5C-CPT) in female rats. Eur Neuropsychopharmacology, 2014, 24: 1371-1380.

Barnes SA, Sawiak SJ, Caprioli D, Jupp B, Buonincontri G, Mar AC, Harte MK, Fletcher PC, Robbins TW, Neill JC, Dalley JW Impaired limbic cortico-striatal structure and sustained visual attention in a rodent model of schizophrenia. Int. J Neuropsychopharmacology, 2014, 18(2): 1–12.