IntroductionMild cognitive impairment (MCI) is common in older adults and represents a high-risk group for progression to Alzheimer’s disease (AD). Medication trials in MCI have generally failed, but new discoveries with brain plasticity in ageing have led to the study of cognitive training as a potential treatment to improve cognitive abilities. Computerised cognitive training (CCT) involves computerised cognitive exercises that target specific cognitive abilities and neural networks to potentially improve cognitive functioning through neuroplasticity.Methods and analysisIn a two-site study (New York State Psychiatric Institute/Columbia University Medical Center and Duke University Medical Center), we will randomise 100 patients with MCI (Wechsler Memory Scale-III Logical Memory II score 0–11; Folstein Mini Mental State Examination ≥23) to home-based CCT (suite of exercises: memory, matching, spatial recognition, processing speed) or a home-based active control condition (computerised crossword puzzle training (CPT)) with 12 weeks of intensive training followed by regular booster sessions up to 78 weeks. All patients will receive standard neuropsychological and functional assessments in clinic as well as structural/functional brain MRI scans at study entry and endpoint. We will test if CCT, versus CPT, leads to improved cognitive functioning, transfers to functional ability and tasks of everyday life and impacts hippocampal volume changes and changes in the default mode network of the brain measured by resting-state functional MRI.Ethics and disseminationThe study will be conducted following ethics approval and written informed consent will be obtained from all subjects. Study results will be disseminated via publication, clinicaltrials.gov, media and conference presentations. This will be the first controlled long-term trial to evaluate the effects of home-based CCT versus computerised CPT on cognitive abilities and functional measures and neural outcomes as determined by MRI indices in patients with MCI. Positive results from trial may support further development of home-based CCT.Trial registration numberClinicalTrials.gov identifier (NCT03205709).

How options are framed can dramatically influence choice preference. While salience of information plays a central role in this effect, precisely how it is mediated by attentional processes remains unknown. Current models assume a simple relationship between attention and choice, according to which preference should be uniformly biased towards the attended item over the whole time-course of a decision between similarly valued items. To test this prediction we considered how framing alters the orienting of gaze during a simple choice between two options, using eye movements as a sensitive online measure of attention. In one condition participants selected the less preferred item to discard and in the other, the more preferred item to keep. We found that gaze gravitates towards the item ultimately selected, but did not observe the effect to be uniform over time. Instead, we found evidence for distinct early and late processes that guide attention according to preference in the first case and task demands in the second. We conclude that multiple time-dependent processes govern attention during choice, and that these may contribute to framing effects in different ways.

We aimed to investigate the cognitive and psychosocial outcomes of patients older than 50 with drug-resistant temporal lobe epilepsy as compared to a younger cohort. One hundred and thirty-one patients with temporal lobe epilepsy (47% age ≥ 50) who underwent comprehensive neuropsychological testing were retrospectively identified. A comparison of percentage of Z scores < - 1.5 between the older and younger cohort on Trail Making Tests A and B, Boston Naming Test, Rey Auditory Verbal Learning Test (RAVLT) delayed recall, and Rey-Osterrieth complex figure test delayed recall was performed as well as the presence of disability due to epilepsy and depression scores. Grading of white matter hyperintensities on MRI was also performed. Older patients with epilepsy were more likely to score Z < - 1.5 on the RAVLT (54.1 vs 32.8%) and were more likely to be on disability due to their seizures (23.0 vs 5.7%). A higher grade of white matter hyperintensities correlated with worse performance on Trail Making Test A, while a higher number of anti-epileptic drugs (AEDs) correlated with worse performance on Trail Making Test B regardless of age. The results of this study reveal that older patients with drug-resistant epilepsy are a vulnerable population with an impaired cognitive profile. In addition, limiting the number of AEDs and addressing markers of small vessel disease should also be prioritized by clinicians.