Interval timing deficits and their neurobiological correlates in aging mice

Neural Substrates of the Drift-Diffusion Model in Brain Disorders

“…In their study, Clay et al (2017) showed that in high loss aversion (defined as increased sensitivity to losses), participants have a lower drift rate due to over fixation (which is related to higher evidence accumulation) on the non-selected choice even for easy trials (Clay et al, 2017). Additionally, with additional training on a task due to an increase in drift rate, a shorter RT is observed (Dutilh et al, 2009;Balci et al, 2011;Gur et al, 2020). During the aging process in rodents and humans, and/or lower accuracy is observed (Salthouse, 1996;Ratcliff et al, 2007a;McGovern et al, 2018;Gur et al, 2020;Theisen et al, 2020).…”

“…Additionally, with additional training on a task due to an increase in drift rate, a shorter RT is observed (Dutilh et al, 2009;Balci et al, 2011;Gur et al, 2020). During the aging process in rodents and humans, and/or lower accuracy is observed (Salthouse, 1996;Ratcliff et al, 2007a;McGovern et al, 2018;Gur et al, 2020;Theisen et al, 2020).…”

Glycolysis-enhancing α1-adrenergic antagonists modify cognitive symptoms related to Parkinson’s disease

“…Furthermore, we found a non-statistically significant trend for more TH+ fluorescence in VTA dopamine-depleted mice treated with terazosin compared to those treated with DMSO alone. The level of VTA TH+ fluorescence correlates with interval timing variability (Gür et al, 2020). However, this correlation does not hold for VTA dopamine-depleted treated with terazosin as this treatment likely changed the relationship between VTA TH+ fluorescence and interval timing variability.…”

“…Increased interval timing variability models some aspects of cognitive dysfunction in PD and Alzheimer’s disease patients (Gür et al, 2020; Kim et al, 2017; Larson et al, 2022; Parker et al, 2015; Singh et al, 2021). Importantly, the VTA is involved in PD and degenerates through the course of the disease (Alberico et al, 2015).…”

“…Mice are trained to switch from a short to a long nosepoke after approximately 6 seconds. This switch is an explicit time-based decision that requires working memory for temporal rules and attention to the passage of time, and models cognitive deficits in neurodegenerative disease (Gür et al, 2020; Larson et al, 2022; Parker et al, 2015; Singh et al, 2021).…”