49 research outputs found
FMRI resting slow fluctuations correlate with the activity of fast cortico-cortical physiological connections
Recording of slow spontaneous fluctuations at rest using functional magnetic resonance imaging (fMRI) allows distinct long-range cortical networks to be identified. The neuronal basis of connectivity as assessed by resting-state fMRI still needs to be fully clarified, considering that these signals are an indirect measure of neuronal activity, reflecting slow local variations in de-oxyhaemoglobin concentration. Here, we combined fMRI with multifocal transcranial magnetic stimulation (TMS), a technique that allows the investigation of the causal neurophysiological interactions occurring in specific cortico-cortical connections. We investigated whether the physiological properties of parieto-frontal circuits mapped with short-latency multifocal TMS at rest may have some relationship with the resting-state fMRI measures of specific resting-state functional networks (RSNs). Results showed that the activity of fast cortico-cortical physiological interactions occurring in the millisecond range correlated selectively with the coupling of fMRI slow oscillations within the same cortical areas that form part of the dorsal attention network, i.e., the attention system believed to be involved in reorientation of attention. We conclude that resting-state fMRI ongoing slow fluctuations likely reflect the interaction of underlying physiological cortico-cortical connections
Early reduction in painful physical symptoms is associated with improvements in long-term depression outcomes in patients treated with duloxetine
<p>Abstract</p> <p>Background</p> <p>To investigate the association of the change of painful physical symptoms (PPS) after 4 weeks, with the 6-month treatment outcomes of depressive symptoms in patients treated with duloxetine in clinical practice.</p> <p>Methods</p> <p>Multicenter, prospective, 6-month, non-interventional study in adult outpatients with a depressive episode and starting treatment with duloxetine. Depression severity was assessed by the clinician (Inventory for Depressive Symptomatology [IDS-C]) and patient (Kurz-Skala Stimmung/Aktivierung [KUSTA]). Somatic symptoms and PPS were assessed using the patient-rated Somatic Symptom Inventory (SSI) and visual analog scales (VAS) for pain items. Association of change in PPS with outcomes of depressive symptoms was analyzed based on mean KUSTA scores (mean of items mood, activity, tension/relaxation, sleep) and achievement of a 50% reduction in the total IDS-C score after 6 months using linear and logistic regression models, respectively.</p> <p>Results</p> <p>Of the 4,517 patients enrolled (mean age: 52.2 years, 71.8% female), 3,320 patients (73.5%) completed the study. 80% of the patients had moderate to severe overall pain (VAS > 30 mm) at baseline. A 50% VAS overall pain reduction after 4 weeks was associated with a 13.32 points higher mean KUSTA score after 6 months, and a 50% pain reduction after 2 weeks with a 6.33 points improvement. No unexpected safety signals were detected in this naturalistic study.</p> <p>Conclusion</p> <p>Pain reduction after 2 and 4 weeks can be used to estimate outcomes of long-term treatment with duloxetine. PPS associated with depression have a potential role in predicting remission of depressive symptoms in clinical practice.</p
Quantification of Network Perfusion in ASL Cerebral Blood Flow Data with Seed Based and ICA Approaches
Using molecular similarity to highlight the challenges of routine immunoassay-based drug of abuse/toxicology screening in emergency medicine
Clozapine's functional mesolimbic selectivity is not duplicated by the addition of anticholinergic action to haloperidol: a brain stimulation study in the rat
This study examined whether the anticholinergic potency of the clinically superior antipsychotic drug clozapine contributes to clozapine's anatomically-selective functional inhibition of the mesolimbic dopamine (DA) system, using an electrical brain-stimulation reward (BSR) paradigm in rats that has been previously shown to be highly sensitive to clozapine's mesolimbic functional selectivity. Rats were chronically administered saline, clozapine, haloperidol, or haloperidol plus the anticholinergic compound trihexyphenidyl, and threshold sensitivity of the mesolimbic and nigrostriatal DA systems was assessed using the BSR paradigm, to infer degree of functional DA blockade produced by the chronic drug regimens. Chronic saline produced no change in either DA system. Congruent with previous findings, chronic clozapine powerfully inhibited the mesolimbic DA system but spared the nigrostriatal DA system. Also congruent with previous findings, chronic haloperidol powerfully inhibited both DA systems. Compared to chronic haloperidol alone, chronic haloperidol plus chronic trihexyphenidyl exerted diminished anti-DA action in both the mesolimbic and nigrostriatal DA systems. These results suggest that clozapine's anticholinergic potency is not an adequate explanation for its functional mesolimbic selectivity.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/46341/1/213_2005_Article_BF02246960.pd
Texts as data II: media content analysis
This chapter discusses media content analysis, a method that applies quantitative and qualitative procedures to make inferences from text. Its main advantages are that it is unobtrusive, and that there is a plethora of media content available and accessible for research. The main challenge of the method is to develop a research design that promises valid inferences from text (meaning that ‘it captures what it sets out to capture’). Ignoring or not addressing such issues is the main reason for ethical concern. This chapter is based on the assumption that aside from more common methods like document analysis and interviews, media content analysis is also a valuable option for the study of media and communication policy. On the one hand, the method can grasp the public discourse about issues of media and communication policy. On the other hand, the data gathered by using this method offers much-needed evidence for policy-making. This chapter provides an overview on the steps of preparing and conducting a media content analysis, from the research design and sampling, to the process of coding, and the analysis of data. Two studies that employed media content analysis to investigate a topic relevant for media and communication policy are used as illustration. They have been selected because they clearly show the difference between the two main paradigmatic approaches to media content analysis: Von Pape, Trepte and Mothes’ (European Journal of Communication 32: 189–207, 2017) quantitative study follows the social science norm of being rigorously systematic, when exploring the discourse on privacy and new communication technology in Germany’s most popular and relevant newspapers and magazines. Young (Media International Australia 157: 79–90, 2015), in contrast, follows the humanities’ tradition of subjective interpretation, when examining the media policy reporting about the press council in Australia’s only national newspaper The Australian. Both approaches are valuable, and are ideally being used complementary, because they fill each others’ blind spots