Several studies show direct connections between primary sensory cortices involved in multisensory integration. The purpose of this study is to understand the microcircuitry of the reciprocal connections between visual and somatosensory cortices. The laminar distribution of retrogradely labeled cell bodies in V1 and in the somatosensory cortex both in (S1BF) and outside (S1) the barrel field was studied to provide layer indices in order to determine whether the connections are of feedforward, feedback or lateral type. Single axons were reconstructed and the size of their swellings was stereologically sampled. The negative layer indices in S1 and S1BF and the layer index near zero in V1 indicate that the connection from S1BF to V1 is of feedback type while the opposite is of lateral type. The greater incidence of larger axonal swellings in the projection from V1 to S1BF strongly suggests that S1BF receives a stronger driver input from V1 and that S1BF inputs to V1 have a predominant modulatory influence.

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This paper outlines the development of an algorithm to determine appropriate levels of care (LOC) for individuals with a serious mental illness (SMI). The algorithm, drew on several domains of the Resident Assessment Instrument-Mental Health (RAI-MH) to support a statistical model that would explain a maximum of variance with the gold standard, a consensus-based global rating of required LOC. The RAI-MH model explained 67.5% of the variance. The validity of the model was further examined by determining how the discrepancy between the current and predicted levels of care related to psychiatric outcomes. The results demonstrated that undersupported clients experienced significant negative psychiatric outcomes compared to clients receiving adequate care. Although the model based on the RAI-MH is not perfect, the results warrant further research to determine its usefulness in predicting required LOC.

Background and Aims:Major depression is a significant problem for people with a traumatic brain injury (TBI) and its treatment remains difficult. A promising approach to treat depression is Mindfulness-based cognitive therapy (MBCT), a relatively new therapeutic approach rooted in mindfulness based stress-reduction (MBSR) and cognitive behavioral therapy (CBT). We conducted this study to examine the effectiveness of MBCT in reducing depression symptoms among people who have a TBI.Methods:Twenty individuals diagnosed with major depression were recruited from a rehabilitation clinic and completed the 8-week MBCT intervention. Instruments used to measure depression symptoms included: BDI-II, PHQ-9, HADS, SF-36 (Mental Health subscale), and SCL-90 (Depression subscale). They were completed at baseline and post-intervention.Results:All instruments indicated a statistically significant reduction in depression symptoms post-intervention (p < .05). For example, the total mean score on the BDI-II decreased from 25.2 (9.8) at baseline to 18.2 (11.7) post-intervention (p=.001). Using a PHQ threshold of 10, the proportion of participants with a diagnosis of major depression was reduced by 59% at follow-up (p=.012).Conclusions:Most participants reported reductions in depression symptoms after the intervention such that many would not meet the criteria for a diagnosis of major depression. This intervention may provide an opportunity to address a debilitating aspect of TBI and could be implemented concurrently with more traditional forms of treatment, possibly enhancing their success. The next step will involve the execution of multi-site, randomized controlled trials to fully demonstrate the value of the intervention.