Motor sequence learning, planning and execution of goal-directed behaviors, and decision making rely on accurate time estimation and production of durations in the seconds-to-minutes range. The pathways involved in planning and execution of goal-directed behaviors include cortico-striato-thalamo-cortical circuitry modulated by dopaminergic inputs. A critical feature of interval timing is its scalar property, by which the precision of timing is proportional to the timed duration. We examined the role of medial prefrontal cortex (mPFC) in timing by evaluating the effect of its reversible inactivation on timing accuracy, timing precision and scalar timing. Rats were trained to time two durations in a peak-interval (PI) procedure. Reversible mPFC inactivation using GABA agonist muscimol resulted in decreased timing precision, with no effect on timing accuracy and scalar timing. These results are partly at odds with studies suggesting that ramping prefrontal activity is crucial to timing but closely match simulations with the Striatal Beat Frequency (SBF) model proposing that timing is coded by the coincidental activation of striatal neurons by cortical inputs. Computer simulations indicate that in SBF, gradual inactivation of cortical inputs results in a gradual decrease in timing precision with preservation of timing accuracy and scalar timing. Further studies are needed to differentiate between timing models based on coincidence detection and timing models based on ramping mPFC activity, and clarify whether mPFC is specifically involved in timing, or more generally involved in attention, working memory, or response selection/inhibition.
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http://dx.doi.org/10.3389/fnint.2018.00020 | DOI Listing |
Alzheimers Dement
December 2024
University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, USA.
Background: Pharmacoepidemiologic studies assessing drug effectiveness for Alzheimer's disease and related dementias (ADRD) are increasingly popular given the critical need for effective therapies for ADRD. To meet the urgent need for robust dementia ascertainment from real-world data, we aimed to develop a novel algorithm for identifying incident and prevalent dementia in claims.
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View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Virginia, Charlottesville, VA, USA.
Background: Hispanic/Latinx older adults have increased risk of developing Alzheimer's disease, poor access to timely and quality dementia care, as well as limited access to caregiver support and interventions. We addressed these structural barriers at a local level in central Virginia in order to improve disparities in risk, early detection, and care.
Method: Systematic expansion of services was undertaken by establishing a Spanish neuropsychological clinic, providing personalized scheduling services by providers to ensure appropriate follow-up after referral is received, engaging in dementia specific community talks through a broader health system initiative (UVA Latinx Health Initiative), and facilitating dementia care coordination services for caregivers.
Alzheimers Dement
December 2024
Imperial College London, London, United Kingdom; UK Dementia Research Institute, Care Research and Technology Centre, London, United Kingdom.
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Method: We use routinely collected in-home sensory data to monitor nocturnal activity and sleep data.
Alzheimers Dement
December 2024
Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
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