M1-selective allosteric modulation enhances cognitive flexibility

We have new research out at PNAS about enhancing cognitive flexibility with highly selective allosteric modulation of the M1 muscarinic receptor (pdf: here)!

Muscarinic receptors are known to mediate pro-cognitive effects of acetylcholine, but it has remained unclear whether they differentially affect the cognitive subfunctions of attentional filtering, set shifting, and learning. To clarify the functional specificity of M1 mAChRs, we assessed these diverse functions using a recently developed, highly selective M1 PAM developped at the Warren Center of Neuroscience Drug Discovery by co-authors Prof. Jones and Dr. Russel. This novel M1 PAM caused domain-specific cognitive improvement of flexible learning and extradimensional set shifting, reduced perseverations and enhanced target recognition during learning without altering attentional filtering functions. These domain-specific improvements contrasted to effects of a nonselective acetylcholinesterase inhibitor that primarily enhanced attention and caused dose-limiting adverse side effects. These results demonstrate domain-specific improvements in cognitive flexibility suggesting M1 PAMs are versatile compounds for treating cognitive deficits in schizophrenia and Alzheimer’s disease.

Related News

A Novel Monkey Kiosk: Cognitive Enrichment and Cognitive Assessment

We now published the hardware and software design for a novel Monkey Kiosk Station that provides cognitive enrichment and the ability to assess cognition with cage-based touchscreen tasks. The paper and its appendix with the technical details are available here.

2017 E.W.R. Steacie Memorial Fellowship Award

What an honour and incredible acknowledgment of our research – Thilo received the 2017 E.W.R. Steacie Memorial Fellowship Award with five fellow scientists in Canada and across the Natural Sciences and Engineering. This is one of the most prestigious awards for young scientists in Canada, celebrating the critical role of fundamental, basic research for driving […]

Adaptive Learning needs Attention, Meta-learning and Working Memory

We tested which model mechanisms best explain how six animals learn attention sets and found a common set of most-important behavioral mechanisms that account for learning success.When learning attention sets is easy value based reinforcement learning and working memory are powerful, but when learning problems are more complex learning is more efficient with attention and […]