May 152012

Amit Lampit
Amit is a Postdoctoral Research Associate and leads the Regenerative Neuroscience Group’s cognitive style and human research program. His research interests are cognitive training across the lifespan, prevention of ageing-related cognitive decline, neuroimaging and advanced meta-analytic techniques.

Amit’s cognitive training career begun more than a decade ago, first with children with ADHD and later with university students and young professionals. In 2009, Amit conducted the first study to show that cognitive training can transfer to improvements in the performance of bookkeeping tasks in young adults.

He moved to Australia in 2011 to join the group’s Timecourse of Cognitive Training trial. The trial found that cognitive training can improve global cognition in older adults at risk of dementia, and characterised the dose-repsonsiveness curves of cognitive effects up to one year post training. He received a PhD from the University of Sydney’s Faculty of Medicine in 2014.

His current projects include several trials of cognitive training in old and young adults, a pilot study of indoor spatial tracking to detect functional decline in the ‘older-old’, as well as a number of neuroimaging studies and meta-analyses. He was the leading author of an influential meta-analysis of the field, which found that computerised cognitive training (‘brain training’) is efficacious on cognition in healthy older adults, but training must be conducted in group format and no more than three times per week.

Amit is an avid cyclist, hummus fanatic and a diehard metalhead.



  1. Amit Lampit, Harry Hallock, Chao Suo, Sharon L Naismith, Michael Valenzuela M (2015). Cognitive training-induced short-term functional and long-term structural plastic change is related to gains in global cognition in healthy older adults: A pilot study. Front. Aging Neurosci. 7:14. doi: 10.3389/fnagi.2015.00014
  2. Amit Lampit, Harry Hallock, Michael Valenzuela. (2014). Computerized Cognitive Training in Cognitively Healthy Older Adults: A Systematic Review and Meta-Analysis of Effect Modifiers. PLoS Med 11(11): e1001756. doi:10.1371/journal.pmed.1001756
  3. Amit Lampit, Claus Ebster, Michael Valenzuela. Multi-domain computerized cognitive training program improves performance of bookkeeping tasks: a matched-sampling active-controlled trial. Frontiers in Psychology (2014); 5: 794
  4. Amit Lampit, Harry Hallock, Rebacca Moss, Sindy Kwok, Michael Rosser, Matthew. Lukjanenko, Alana Kohn, Sharon Naismith, Henry Brodaty, Michael Valenzuela. The timecourse of global cognitive gains from supervised computer-assisted cognitive training: a randomised, active-controlled trial in elderly with multiple dementia risk factors. Journal of Prevention of Alzheimer’s Disease (2014);1(1):33-39