Validity and reliability of the Structured Clinical Interview for Mood Spectrum: Brazilian version (SCIMOODS-VB)

Ratzke, Roberto; Moreno, Doris Hupfeld; Gorenstein, Clarice; Moreno, Ricardo Alberto

doi:10.1590/s1516-44462011000100013

Cited by 4 publications

(3 citation statements)

References 11 publications

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“…Overall, our present findings demonstrate for the first time that RE-related patterns of activation in the vlPFC play an important role in predicting individual-level severity of a specific ISS-related symptom, energy-manic symptom severity, reflecting heightened hypo/mania-related energy. Moreover, previous studies suggest that the energy-manic symptom is a key subdomain of the Mood Spectrum Self-Report discriminating individuals with BPSD from those with major depressive disorder 50, 51, 52. Together, these findings suggest the potentially important role of RE-related vlPFC activation in predicting severity on a hypo/manic symptom associated with BPSD risk in young adults.…”

Section: Discussionmentioning

confidence: 60%

Predicting Bipolar Disorder Risk Factors in Distressed Young Adults From Patterns of Brain Activation to Reward: A Machine Learning Approach

Oliveira

Portugal

Pereira

et al. 2019

Biological Psychiatry: Cognitive Neuroscience and Neuroimaging

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Background The aim of this study was to apply multivariate pattern recognition to predict the severity of behavioral traits and symptoms associated with risk for bipolar spectrum disorder from patterns of whole-brain activation during reward expectancy to facilitate the identification of individual-level neural biomarkers of bipolar disorder risk. Methods We acquired functional neuroimaging data from two independent samples of transdiagnostically recruited adults (18–25 years of age; n = 56, mean age 21.9 ± 2.2 years, 42 women; n = 36, mean age 21.2 ± 2.2 years, 24 women) during reward expectancy task performance. Pattern recognition model performance in each sample was measured using correlation and mean squared error between actual and whole-brain activation–predicted scores on behavioral traits and symptoms. Results In the first sample, the model significantly predicted severity of a specific hypo/mania-related symptom, heightened energy, measured by the energy manic subdomain of the Mood Spectrum Structured Interviews ( r = .42, p = .001; mean squared error = 9.93, p = .001). The region with the highest contribution to the model was the left ventrolateral prefrontal cortex. Results were confirmed in the second sample ( r = .33, p = .01; mean squared error = 8.61, p = .01), in which the severity of this symptom was predicted using a bilateral ventrolateral prefrontal cortical mask ( r = .33, p = .009, mean squared error = 9.37, p = .04). Conclusions The severity of a specific hypo/mania-related symptom was predicted from patterns of whole-brain activation in two independent samples. Given that emerging manic symptoms predispose to bipolar disorders, these findings could provide neural biomarkers to aid early identification of individual-level bipolar disorder risk in young adults.

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Section: Discussionmentioning

confidence: 60%

Predicting Bipolar Disorder Risk Factors in Distressed Young Adults From Patterns of Brain Activation to Reward: A Machine Learning Approach

Oliveira

Portugal

Pereira

et al. 2019

Biological Psychiatry: Cognitive Neuroscience and Neuroimaging

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“…Pre-surgical mean YGTSS total score and MRTRS total scores at baseline were 92.2 ±9.34 and 16.6 ±1.95, respectively. At baseline, information pertaining to general disease characteristics (age, disease duration, medication, tic subtypes) [11] was obtained along with the following scales: the 36-Item Short Form Health Survey Quality of Life Assessment [15], the modified Structured Clinical Interview for TS diagnosis [16], the Yale Global Tic Severity Scale (YGTSS) [17,18], the videotaped Modified Rush Tic Rating Scale (MRTRS) [18,19], the 17-item Hamilton Depression Rating Scale [20], the Yale-Brown Obsessive Compulsive Scale [20,21], and the Young Mania Rating Scale [22]. The scales were repeated at each six-month interval.…”

Section: Methodsmentioning

confidence: 99%

Scheduled, intermittent stimulation of the thalamus reduces tics in Tourette syndrome

Rossi

Opri

Shute

et al. 2016

Parkinsonism & Related Disorders

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Introduction Personalized, scheduled deep brain stimulation in Tourette syndrome (TS) may permit clinically meaningful tic reduction while reducing side effects and increasing battery life. Here, we evaluate scheduled DBS applied to TS at two-year follow-up. Methods Five patients underwent bilateral centromedian thalamic (CM) region DBS. A cranially contained constant-current device delivering stimulation on a scheduled duty cycle, as opposed to the standard continuous DBS paradigm was utilized. Baseline vs. 24-month outcomes were collected and analyzed, and a responder analysis was performed. A 40% improvement in the Modified Rush Tic Rating Scale (MRTRS) total score or Yale Global Tic Severity Scale (YGTSS) total score defined a full responder. Results Three of the 4 patients followed to 24 months reached full responder criteria and had a mean stimulation time of 1.85 hours per day. One patient lost to follow-up evaluated at the last time point (month 18) was a non-responder. Patients exhibited improvements in MRTRS score beyond the improvements previously reported for the 6 month endpoint; on average, MRTRS total score was 15.6% better at 24 months than at 6 months and YGTSS total score was 14.8% better. Combining the patients into a single cohort revealed significant improvements in the MRTRS total score (−7.6 [5.64]; p=.02). Conclusion Electrical stimulation of the centromedian thalamic region in a scheduled paradigm was effective in suppressing tics, particularly phonic tics. Full responders were able to achieve the positive DBS effect with a mean of 2.3 ± .9 (SEM) hours of DBS per day.

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“…Baseline and interval evaluations were conducted until the primary safety and efficacy end point of 6 months (participants and raters were blinded to stimulation paradigms and on/ off states). Information obtained included general disease characteristics (age, disease duration, medications, and tic subtypes), the Quality of Life Assessment Schedule, the 36-Item Short Form Health Survey Quality of Life Assessment, 25 the modified Structured Clinical Interview for TS diagnosis, 26 the Yale Global Tic Severity Scale (YGTSS), [27][28][29] the videotaped Modified Rush Tic Rating Scale (MRTRS), 29,30 the 17-item Hamilton Depression Rating Scale, 31 the Yale-Brown Obsessive Compulsive Scale, 32,33 and the Young Mania Rating Scale. 34 In addition, subjects were randomized by the statistician to receive immediate DBS activation at postoperative day 30 or delayed-start DBS activation at postoperative day 60 based on the design of the National Institutes of Health obsessive-compulsive disorder DBS study.…”

Section: Methodsmentioning

confidence: 99%

A Trial of Scheduled Deep Brain Stimulation for Tourette Syndrome

Okun¹,

Foote²,

Wu³

et al. 2013

JAMA Neurol

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To collect the information necessary to design the methods and outcome variables for a larger trial of scheduled deep brain stimulation (DBS) for Tourette syndrome. Design: We performed a small National Institutes of Health-sponsored clinical trials planning study of the safety and preliminary efficacy of implanted DBS in the bilateral centromedian thalamic region. The study used a cranially contained constant-current device and a scheduled, rather than the classic continuous, DBS paradigm. Baseline vs 6-month outcomes were collected and analyzed. In addition, we compared acute scheduled vs acute continuous vs off DBS. Setting: A university movement disorders center. Patients: Five patients with implanted DBS. Main Outcome Measure: A 50% improvement in the Yale Global Tic Severity Scale (YGTSS) total score. Results: Participating subjects had a mean age of 34.4 (range, 28-39) years and a mean disease duration of 28.8 years. No significant adverse events or hardware-related issues occurred. Baseline vs 6-month data revealed that reductions in the YGTSS total score did not achieve the prestudy criterion of a 50% improvement in the YGTSS total score on scheduled stimulation settings. However, statistically significant improvements were observed in the YGTSS total score (mean [SD] change, −17.8 [9.4]; P=.01), impairment score (−11.3 [5.0]; P=.007), and motor score (−2.8 [2.2]; P=.045); the Modified Rush Tic Rating Scale Score total score (−5.8 [2.9]; P =.01); and the phonic tic severity score (−2.2 [2.6]; P=.04). Continuous, off, and scheduled stimulation conditions were assessed blindly in an acute experiment at 6 months after implantation. The scores in all 3 conditions showed a trend for improvement. Trends for improvement also occurred with continuous and scheduled conditions performing better than the off condition. Tic suppression was commonly seen at ventral (deep) contacts, and programming settings resulting in tic suppression were commonly associated with a subjective feeling of calmness. Conclusions: This study provides safety and proof of concept that a scheduled DBS approach could improve motor and vocal tics in Tourette syndrome. Refinements in neurostimulator battery life, outcome measure selection, and flexibility in programming settings can be used to enhance outcomes in a future larger study. Scheduled stimulation holds promise as a potential first step for shifting movement and neuropsychiatric disorders toward more responsive neuromodulation approaches.

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Validity and reliability of the Structured Clinical Interview for Mood Spectrum: Brazilian version (SCIMOODS-VB)

Cited by 4 publications

References 11 publications

Predicting Bipolar Disorder Risk Factors in Distressed Young Adults From Patterns of Brain Activation to Reward: A Machine Learning Approach

Predicting Bipolar Disorder Risk Factors in Distressed Young Adults From Patterns of Brain Activation to Reward: A Machine Learning Approach

Scheduled, intermittent stimulation of the thalamus reduces tics in Tourette syndrome

A Trial of Scheduled Deep Brain Stimulation for Tourette Syndrome

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