PubMed Health⌕ Search

Biomedical subjects

James J Quattrochi

Publications and source records attributed to James J Quattrochi.

2 recordsLinked to original sources

From synapse to gene product: prolonged expression of c-fos induced by a single microinjection of carbachol in the pontomesencephalic tegmentum.

It is not known how the brain modifies its regulatory systems in response to the application of a drug, especially over the long term of weeks and months. We have developed a model system approach to this question by manipulating cholinergic cell groups of the laterodorsal and pedunculopontine tegmental (LDT/PPT) nuclei in the pontomesencephalic tegmentum (PMT), which are known to be actively involved in the timing and quantity of rapid eye movement (REM) sleep. In a freely moving feline model, a single microinjection of the cholinergic agonist carbachol conjugated to a latex nanosphere delivery system into the caudolateral PMT elicits a long-term enhancement of one distinguishing phasic event of REM sleep, ponto-geniculo-occipital (PGO) waves, lasting 5 days but without any significant change in REM sleep or other behavioral state. Here, we test the hypothesis that cholinergic activation within the caudolateral PMT alters the postsynaptic excitability of the PGO network, stimulating the prolonged expression of c-fos that underlies this long-term PGO enhancement (LTPE) effect. Using quantitative Fos immunohistochemistry, we found that the number of Fos-immunoreactive (Fos-IR) neurons surrounding the caudolateral PMT injection site decreased sharply by postcarbachol day 03, while the number of Fos-IR neurons in the more rostral LDT/PPT increased >30-fold and remained at a high level following the course of LTPE. These results demonstrate a sustained c-fos expression in response to pharmacological stimulation of the brain and suggest that carbachol's acute effects induce LTPE via cholinergic receptors, with subsequent transsynaptic activation of the LDT/PPT maintaining the LTPE effect.

Animals↗

Evaluation of an Interactive Case-based Online Network (ICON) in a problem based learning environment.

PURPOSE: This study sought to assess the introduction of a web-based innovation in medical education that complements traditional problem-based learning curricula. Utilizing the case method as its fundamental educational approach, the Interactive Case-based Online Network (ICON) allows students to interact with each other, faculty and a virtual patient in difficult neurological cases. Given the paucity of available metrics to benchmark online systems, we complement user perceptions with data on system utilization. METHODS: We describe a case study of distinct, small group tutorials over 2 years as part of the Human Nervous System and Behavior (HNSB) course at the Harvard Medical School. Participating students and faculty were interviewed following completion of the course and their utilization of the system was recorded and examined. RESULTS: Students each spent 3.2+/-1.3 h (mean+/-SD) through 8.6+/-2.8 accessions per week using ICON outside of required tutorial time. Faculty each spent 4.8+/-3.4 h through 16.6+/-8.9 accessions per week on ICON. Students identified real-time engagement, stronger relationships with faculty, increased accountability to the tutorial group and self-selected pace as the most beneficial characteristics of the ICON-based tutorial in comparison to traditional problem based learning (PBL) tutorials. Faculty identified enhanced collaboration with students and more realistic student experiences as the most beneficial characteristics. Both students and faculty reported that limitations of ICON included increased time investment for faculty and increased reliance on good faculty mentorship. CONCLUSION: This is the first study of the ICON learning system in undergraduate medical education, a platform designed to facilitate collaboration outside of the classroom. Data on user perceptions and system utilization suggest that both faculty and students chose to adopt this online learning system as a means for collaboration. The study also outlines future avenues for research in assessing novel online technologies.

Computers↗