Increased motor activity and recurrent manic episodes: Predictors of rapid relapse in remitted bipolar disorder patients after lithium discontinuation

1992 ◽  
Vol 31 (3) ◽  
pp. 279-284 ◽  
Author(s):  
E. Klein ◽  
P. Lavie ◽  
R. Meiraz ◽  
A. Sadeh ◽  
R.H. Lenox
2020 ◽  
Vol 46 (5) ◽  
pp. 1126-1143 ◽  
Author(s):  
Nicholas Meyer ◽  
Sophie M Faulkner ◽  
Robert A McCutcheon ◽  
Toby Pillinger ◽  
Derk-Jan Dijk ◽  
...  

Abstract Background Sleep and circadian rhythm disturbances in schizophrenia are common, but incompletely characterized. We aimed to describe and compare the magnitude and heterogeneity of sleep-circadian alterations in remitted schizophrenia and compare them with those in interepisode bipolar disorder. Methods EMBASE, Medline, and PsycINFO were searched for case–control studies reporting actigraphic parameters in remitted schizophrenia or bipolar disorder. Standardized and absolute mean differences between patients and controls were quantified using Hedges’ g, and patient–control differences in variability were quantified using the mean-scaled coefficient of variation ratio (CVR). A wald-type test compared effect sizes between disorders. Results Thirty studies reporting on 967 patients and 803 controls were included. Compared with controls, both schizophrenia and bipolar groups had significantly longer total sleep time (mean difference [minutes] [95% confidence interval {CI}] = 99.9 [66.8, 133.1] and 31.1 [19.3, 42.9], respectively), time in bed (mean difference = 77.8 [13.7, 142.0] and 50.3 [20.3, 80.3]), but also greater sleep latency (16.5 [6.1, 27.0] and 2.6 [0.5, 4.6]) and reduced motor activity (standardized mean difference [95% CI] = −0.86 [−1.22, −0.51] and −0.75 [−1.20, −0.29]). Effect sizes were significantly greater in schizophrenia compared with the bipolar disorder group for total sleep time, sleep latency, and wake after sleep onset. CVR was significantly elevated in both diagnoses for total sleep time, time in bed, and relative amplitude. Conclusions In both disorders, longer overall sleep duration, but also disturbed initiation, continuity, and reduced motor activity were found. Common, modifiable factors may be associated with these sleep-circadian phenotypes and advocate for further development of transdiagnostic interventions that target them.


CNS Spectrums ◽  
2020 ◽  
pp. 1-11
Author(s):  
Jakub Schneider ◽  
Eduard Bakštein ◽  
Marian Kolenič ◽  
Pavel Vostatek ◽  
Christoph U. Correll ◽  
...  

Abstract Background Bipolar disorder (BD) is linked to circadian rhythm disruptions resulting in aberrant motor activity patterns. We aimed to explore whether motor activity alone, as assessed by longitudinal actigraphy, can be used to classify accurately BD patients and healthy controls (HCs) into their respective groups. Methods Ninety-day actigraphy records from 25 interepisode BD patients (ie, Montgomery–Asberg Depression Rating Scale (MADRS) and Young Mania Rating Scale (YMRS) < 15) and 25 sex- and age-matched HCs were used in order to identify latent actigraphic biomarkers capable of discriminating between BD patients and HCs. Mean values and time variations of a set of standard actigraphy features were analyzed and further validated using the random forest classifier. Results Using all actigraphy features, this method correctly assigned 88% (sensitivity = 85%, specificity = 91%) of BD patients and HCs to their respective group. The classification success may be confounded by differences in employment between BD patients and HCs. When motor activity features resistant to the employment status were used (the strongest feature being time variation of intradaily variability, Cohen’s d = 1.33), 79% of the subjects (sensitivity = 76%, specificity = 81%) were correctly classified. Conclusion A machine-learning actigraphy-based model was capable of distinguishing between interepisode BD patients and HCs solely on the basis of motor activity. The classification remained valid even when features influenced by employment status were omitted. The findings suggest that temporal variability of actigraphic parameters may provide discriminative power for differentiating between BD patients and HCs while being less affected by employment status.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
O. Damri ◽  
S. Asslih ◽  
N. Shemesh ◽  
S. Natour ◽  
O. Noori ◽  
...  

AbstractWe mimicked mild mitochondrial-distress robustly reported in bipolar-disorder (BD) by chronic exposure to uniquely low doses of inhibitors of mitochondrial-respiration complexes in vitro and in vivo. Exposure of the neuronal-originating SH-SY5Y cells to very low dose (10 pM) rotenone, a mitochondrial-respiration complex (Co)I inhibitor, for 72 or 96 h did not affect cell viability and reactive oxygen species (ROS) levels. Yet, it induced a dual effect on mitochondrial-respiration: overshooting statistically significant several-fold increase of most oxygen-consumption-rate (OCR) parameters vs. significantly decreased all OCR parameters, respectively. Chronic low doses of 3-nitropropionic acid (3-NP) (CoII inhibitor) did not induce long-lasting changes in the cells’ mitochondria-related parameters. Intraperitoneal administration of 0.75 mg/kg/day rotenone to male mice for 4 or 8 weeks did not affect spontaneous and motor activity, caused behaviors associated with mania and depression following 4 and 8 weeks, respectively, accompanied by relevant changes in mitochondrial basal OCR and in levels of mitochondrial-respiration proteins. Our model is among the very few BD-like animal models exhibiting construct (mild mitochondrial dysfunction), face (decreased/increased immobility time in the forced-swim test, increased/decreased consumption of sweet solution, increased/decreased time spent in the open arms of the elevated plus maze) and predictive (reversal of rotenone-induced behavioral changes by lithium treatment) validity. Our rotenone regime, employing doses that, to the best of our knowledge, have never been used before, differs from those inducing Parkinson’s-like models by not affecting ROS-levels and cell-viability in vitro nor motor activity in vivo.


PLoS ONE ◽  
2014 ◽  
Vol 9 (2) ◽  
pp. e89574 ◽  
Author(s):  
Karoline Krane-Gartiser ◽  
Tone Elise Gjotterud Henriksen ◽  
Gunnar Morken ◽  
Arne Vaaler ◽  
Ole Bernt Fasmer

2021 ◽  
Author(s):  
Petter Jakobsen ◽  
Andrea Stautland ◽  
Michael A. Riegler ◽  
Ulysse Cote-Allard ◽  
Zahra Sepasdar ◽  
...  

Aims Changes in motor activity are core symptoms of mood episodes in bipolar disorder. The manic state is characterized by increased variance, augmented complexity and irregular circadian rhythmicity when compared to healthy controls. The aim was to characterize differences in motor activity when comparing manic patients to their euthymic selves. Methods Motor activity was collected from 14 bipolar inpatients in mania and remission. 24-h recordings and 2-h time series in the morning and evening were analyzed for mean activity, variability and complexity. Lastly, the recordings were analyzed with the similarity graph algorithm and graph theory concepts such as edges, bridges, connected components and cliques. Results When compared to euthymia, over the duration of approximately one circadian cycle, the manic state presented reduced variability, displayed by decreased standard deviation (p = 0.013) and augmented complexity shown by increased sample entropy (p = 0.025). During mania there were also fewer edges (p = 0.039) and more bridges (p = 0.026). Similar changes in variability and complexity were observed in the 2-h morning and evening sequences, mainly in the estimates of the similarity graph algorithm. A comparison of morning and evening sequences within states revealed no significant change in estimates for mania. Contrarily, the euthymic state showed significant evening differences in variance and complexity, displayed by fewer edges (p = 0.010) and an increased number of connected components (p = 0.009). Conclusion The motor activity of mania is characterized by altered complexity, variability, and circadian rhythms when compared within-subject to euthymia.


2019 ◽  
Vol 76 (2) ◽  
pp. 190 ◽  
Author(s):  
Kathleen Ries Merikangas ◽  
Joel Swendsen ◽  
Ian B. Hickie ◽  
Lihong Cui ◽  
Haochang Shou ◽  
...  

2016 ◽  
Vol 202 ◽  
pp. 23-31 ◽  
Author(s):  
Karoline Krane-Gartiser ◽  
Mette Kvisten Steinan ◽  
Knut Langsrud ◽  
Vegard Vestvik ◽  
Trond Sand ◽  
...  

2020 ◽  
pp. 1-8 ◽  
Author(s):  
Stefan E. Knapen ◽  
Peng Li ◽  
Rixt F. Riemersma-van der Lek ◽  
Sanne Verkooijen ◽  
Marco P. M. Boks ◽  
...  

Abstract Background The output of many healthy physiological systems displays fractal fluctuations with self-similar temporal structures. Altered fractal patterns are associated with pathological conditions. There is evidence that patients with bipolar disorder have altered daily behaviors. Methods To test whether fractal patterns in motor activity are altered in patients with bipolar disorder, we analyzed 2-week actigraphy data collected from 106 patients with bipolar disorder type I in a euthymic state, 73 unaffected siblings of patients, and 76 controls. To examine the link between fractal patterns and symptoms, we analyzed 180-day actigraphy and mood symptom data that were simultaneously collected from 14 patients. Results Compared to controls, patients showed excessive regularity in motor activity fluctuations at small time scales (<1.5 h) as quantified by a larger scaling exponent (α1 > 1), indicating a more rigid motor control system. α1 values of siblings were between those of patients and controls. Further examinations revealed that the group differences in α1 were only significant in females. Sex also affected the group differences in fractal patterns at larger time scales (>2 h) as quantified by scaling exponent α2. Specifically, female patients and siblings had a smaller α2 compared to female controls, indicating more random activity fluctuations; while male patients had a larger α2 compared to male controls. Interestingly, a higher weekly depression score was associated with a lower α1 in the subsequent week. Conclusions Our results show sex- and scale-dependent alterations in fractal activity regulation in patients with bipolar disorder. The mechanisms underlying the alterations are yet to be determined.


2016 ◽  
Vol 31 ◽  
pp. 50-66 ◽  
Author(s):  
Alban Maxhuni ◽  
Angélica Muñoz-Meléndez ◽  
Venet Osmani ◽  
Humberto Perez ◽  
Oscar Mayora ◽  
...  

2001 ◽  
Vol 120 (5) ◽  
pp. A173-A174
Author(s):  
F BASCHIERA ◽  
C BLANDIZZI ◽  
M FOMAI ◽  
M TACCA

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