Mood instability in bipolar disorder type I versus type II-continuous daily electronic self-monitoring of illness activity using smartphones

2015 ◽  
Vol 186 ◽  
pp. 342-349 ◽  
Author(s):  
Maria Faurholt-Jepsen ◽  
Christian Ritz ◽  
Mads Frost ◽  
Rie Lambæk Mikkelsen ◽  
Ellen Margrethe Christensen ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Type I ◽  
Type Ii ◽  
Self Monitoring ◽  
Mood Instability ◽  
Disorder Type

scholarly journals Cognitive dysfunction is worse among pediatric patients with bipolar disorder Type I than Type II

2012 ◽  
Vol 53 (7) ◽  
pp. 775-781 ◽  
Author(s):  
Lindsay S. Schenkel ◽  
Amy E. West ◽  
Rachel Jacobs ◽  
John A. Sweeney ◽  
Mani N. Pavuluri
Keyword(s):  
Bipolar Disorder ◽  
Cognitive Dysfunction ◽  
Pediatric Patients ◽  
Type I ◽  
Type Ii ◽  
Disorder Type

Childhood traumatic experiences of patients with bipolar disorder type I and type II

2015 ◽  
Vol 175 ◽  
pp. 92-97 ◽  
Author(s):  
Delfina Janiri ◽  
Gabriele Sani ◽  
Emanuela Danese ◽  
Alessio Simonetti ◽  
Elisa Ambrosi ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Traumatic Experiences ◽  
Type I ◽  
Type Ii ◽  
Disorder Type

Impulsivity and Brain Volume in Patients with Bipolar Disorder type I and Bipolar Disorder Type II

2017 ◽  
Vol 41 (S1) ◽  
pp. S75-S75
Author(s):  
D. Janiri ◽  
G. Giuseppin ◽  
E. Spinazzola ◽  
M. Maggiora ◽  
G. Sani
Keyword(s):  
Bipolar Disorder ◽  
Negative Relationship ◽  
Statistical Parametric Mapping ◽  
Angular Gyrus ◽  
Type I ◽  
Type Ii ◽  
Brain Volumes ◽  
Competing Interest ◽  
The Right ◽  
Disorder Type

IntroductionImpulsivity is a key feature of both bipolar disorder (BD) type I (BDI) and type II (BDII).ObjectiveStructural neuroimaging studies help clarifying brain mechanisms underpinning the regulation of impulsivity in BDI and BDII.AimsTo address the question whether grey matter (GM) alterations relate differently with impulsivity in BDI and BDII.MethodsWe assessed 54 euthymic outpatients, diagnosed with BDI (n = 28) or BDII (n = 26) according to DSM-IV-TR criteria. They underwent a 3 T magnetic resonance imaging (MRI) investigation. GM brain volumes were analyzed on a voxel-by-voxel basis using Statistical Parametric Mapping 8. The Barratt Impulsiveness Scale (BIS), version 11A, was used to assess trait impulsivity.ResultsBDI and BDII patients present an inverse relationship between impulsivity and GM volume in two cerebral areas: the right cerebellum (right crus I) and the interface between the left angular gyrus and the left inferior parietal cortex (Brodmann Area 39, 7, 40). More specifically, a negative relationship for BPI and a positive relationship for BPII were found in both areas.ConclusionsResults suggest that the different diagnosis between BDI and BDII could have a significant effect on GM changes according to impulsivity severity and point up the importance of considering the BP subtype distinction in neuroimaging studies on this topic.Disclosure of interestThe authors have not supplied their declaration of competing interest.

scholarly journals Fractional anisotropy of the uncinate fasciculus and cingulum in bipolar disorder type I, type II, unaffected siblings and healthy controls

2018 ◽  
Vol 213 (3) ◽  
pp. 548-554 ◽  
Author(s):  
Sonya F. Foley ◽  
Matthew Bracher-Smith ◽  
Katherine E. Tansey ◽  
Judith R. Harrison ◽  
Greg D. Parker ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Fractional Anisotropy ◽  
Type I ◽  
Healthy Controls ◽  
Type Ii ◽  
Uncinate Fasciculus ◽  
Polygenic Risk ◽  
The Right ◽  
Main Effects ◽  
Disorder Type

BackgroundFractional anisotropy in the uncinate fasciculus and the cingulum may be biomarkers for bipolar disorder and may even be distinctly affected in different subtypes of bipolar disorder, an area in need of further research.AimsThis study aims to establish if fractional anisotropy in the uncinate fasciculus and cingulum shows differences between healthy controls, patients with bipolar disorder type I (BD-I) and type II (BD-II), and their unaffected siblings.MethodFractional anisotropy measures from the uncinate fasciculus, cingulum body and parahippocampal cingulum were compared with tractography methods in 40 healthy controls, 32 patients with BD-I, 34 patients with BD-II, 17 siblings of patients with BD-I and 14 siblings of patients with BD-II.ResultsThe main effects were found in both the right and left uncinate fasciculus, with patients with BD-I showing significantly lower fractional anisotropy than both patients with BD-II and healthy controls. Participants with BD-II did not differ from healthy controls. Siblings showed similar effects in the left uncinate fasciculus. In a subsequent complementary analysis, we investigated the association between fractional anisotropy in the uncinate fasciculus and polygenic risk for bipolar disorder and psychosis in a large cohort (n= 570) of healthy participants. However, we found no significant association.ConclusionsFractional anisotropy in the uncinate fasciculus differs significantly between patients with BD-I and patients with BD-II and healthy controls. This supports the hypothesis of differences in the physiological sub-tract between bipolar disorder subtypes. Similar results were found in unaffected siblings, suggesting the potential for this biomarker to represent an endophenotype for BD-I. However, fractional anisotropy in the uncinate fasciculus seems unrelated to polygenic risk for bipolar disorder or psychosis.Declaration of interestNone.

scholarly journals Toi Même, a Mobile Health Platform for Measuring Bipolar Illness Activity: Protocol for a Feasibility Study (Preprint)

2020 ◽  
Author(s):  
Aroldo A Dargél ◽  
Elise Mosconi ◽  
Marc Masson ◽  
Marion Plaze ◽  
Fabien Taieb ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Real Life ◽  
Integrated Approach ◽  
Type I ◽  
Motion Sensors ◽  
Open Label ◽  
Self Monitoring ◽  
Mood Instability ◽  
Mood Symptoms ◽  
First Results

BACKGROUND The diagnosis and management of bipolar disorder are limited by the absence of available biomarkers. Patients with bipolar disorder frequently present with mood instability even during remission, which is likely associated with the risk of relapse, impaired functioning, and suicidal behavior, indicating that the illness is active. OBJECTIVE This research protocol aimed to investigate the correlations between clinically rated mood symptoms and mood/behavioral data automatically collected using the <i>Toi Même</i> app in patients with bipolar disorder presenting with different mood episodes. This study also aimed to assess the feasibility of this app for self-monitoring subjective and objective mood/behavior parameters in those patients. METHODS This open-label, nonrandomized trial will enroll 93 (31 depressive, 31 euthymic, and 31 hypomanic) adults diagnosed with bipolar disorder type I/II (Diagnostic and Statistical Manual of Mental Disorders, 5th edition criteria) and owning an iPhone. Clinical evaluations will be performed by psychiatrists at the baseline and after 2 weeks, 1 month, 2 months, and 3 months during the follow-up. Rather than only accessing the daily mood symptoms, the <i>Toi Même</i> app also integrates ecological momentary assessments through 2 gamified tests to assess cognition speed (QU<i>i</i>CKBRAIN) and affective responses (PLAY<i>i</i>MOTIONS) in real-life contexts, continuously measures daily motor activities (eg, number of steps, distance) using the smartphone’s motion sensors, and performs a comprehensive weekly assessment. RESULTS Recruitment began in April 2018 and the completion of the study is estimated to be in December 2021. As of April 2019, 25 participants were enrolled in the study. The first results are expected to be submitted for publication in 2020. This project has been funded by the Perception and Memory Unit of the Pasteur Institute (Paris) and it has received the final ethical/research approvals in April 2018 (ID-RCB: 2017-A02450-53). CONCLUSIONS Our results will add to the evidence of exploring other alternatives toward a more integrated approach in the management of bipolar disorder, including digital phenotyping, to develop an ethical and clinically meaningful framework for investigating, diagnosing, and treating individuals at risk of developing bipolar disorder or currently experiencing bipolar disorder. Further prospective studies on the validity of automatically generated smartphone data are needed for better understanding the longitudinal pattern of mood instability in bipolar disorder as well as to establish the reliability, efficacy, and cost-effectiveness of such an app intervention for patients with bipolar disorder. CLINICALTRIAL ClinicalTrials.gov NCT03508427; https://clinicaltrials.gov/ct2/show/NCT03508427 INTERNATIONAL REGISTERED REPORT DERR1-10.2196/18818

scholarly journals Low frequency of bipolar disorder, dopamine dysregulation syndrome, and punding in Brazilian patients with Parkinson's disease

2010 ◽  
Vol 32 (1) ◽  
pp. 62-65 ◽  
Author(s):  
Arthur Kummer ◽  
Fernando M. V. Dias ◽  
Francisco Cardoso ◽  
Antonio L. Teixeira
Keyword(s):  
Parkinson’S Disease ◽  
Bipolar Disorder ◽  
Parkinson's Disease ◽  
Disease Onset ◽  
Low Frequency ◽  
Type I ◽  
Type Ii ◽  
Psychiatric Examination ◽  
Dopamine Dysregulation Syndrome ◽  
Disorder Type

OBJECTIVE: To investigate the frequency of bipolar disorder, dopamine dysregulation syndrome and punding in Parkinson's disease patients from a Brazilian movement disorders clinic. METHOD: One hundred patients underwent a comprehensive psychiatric examination composed of MINI-plus and specific questionnaires to investigate dopamine dysregulation syndrome and punding. RESULTS: We identified, respectively, one and five Parkinson's disease patients with bipolar disorder type I and type II. All manic/hypomanic episodes occurred before Parkinson's disease onset. No patient was identified with dopamine dysregulation syndrome or punding. CONCLUSION: The frequency of manic/hypomanic episodes seems to decrease with Parkinson's disease onset, and local environmental factors (e.g. drug availability) may be responsible for the low frequency of dopamine dysregulation syndrome and punding in Brazilian Parkinson's disease patients.

scholarly journals Toi Même, a Mobile Health Platform for Measuring Bipolar Illness Activity: Protocol for a Feasibility Study

10.2196/18818 ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. e18818
Author(s):  
Aroldo A Dargél ◽  
Elise Mosconi ◽  
Marc Masson ◽  
Marion Plaze ◽  
Fabien Taieb ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Real Life ◽  
Integrated Approach ◽  
Type I ◽  
Motion Sensors ◽  
Open Label ◽  
Self Monitoring ◽  
Mood Instability ◽  
Mood Symptoms ◽  
First Results

Background The diagnosis and management of bipolar disorder are limited by the absence of available biomarkers. Patients with bipolar disorder frequently present with mood instability even during remission, which is likely associated with the risk of relapse, impaired functioning, and suicidal behavior, indicating that the illness is active. Objective This research protocol aimed to investigate the correlations between clinically rated mood symptoms and mood/behavioral data automatically collected using the Toi Même app in patients with bipolar disorder presenting with different mood episodes. This study also aimed to assess the feasibility of this app for self-monitoring subjective and objective mood/behavior parameters in those patients. Methods This open-label, nonrandomized trial will enroll 93 (31 depressive, 31 euthymic, and 31 hypomanic) adults diagnosed with bipolar disorder type I/II (Diagnostic and Statistical Manual of Mental Disorders, 5th edition criteria) and owning an iPhone. Clinical evaluations will be performed by psychiatrists at the baseline and after 2 weeks, 1 month, 2 months, and 3 months during the follow-up. Rather than only accessing the daily mood symptoms, the Toi Même app also integrates ecological momentary assessments through 2 gamified tests to assess cognition speed (QUiCKBRAIN) and affective responses (PLAYiMOTIONS) in real-life contexts, continuously measures daily motor activities (eg, number of steps, distance) using the smartphone’s motion sensors, and performs a comprehensive weekly assessment. Results Recruitment began in April 2018 and the completion of the study is estimated to be in December 2021. As of April 2019, 25 participants were enrolled in the study. The first results are expected to be submitted for publication in 2020. This project has been funded by the Perception and Memory Unit of the Pasteur Institute (Paris) and it has received the final ethical/research approvals in April 2018 (ID-RCB: 2017-A02450-53). Conclusions Our results will add to the evidence of exploring other alternatives toward a more integrated approach in the management of bipolar disorder, including digital phenotyping, to develop an ethical and clinically meaningful framework for investigating, diagnosing, and treating individuals at risk of developing bipolar disorder or currently experiencing bipolar disorder. Further prospective studies on the validity of automatically generated smartphone data are needed for better understanding the longitudinal pattern of mood instability in bipolar disorder as well as to establish the reliability, efficacy, and cost-effectiveness of such an app intervention for patients with bipolar disorder. Trial Registration ClinicalTrials.gov NCT03508427; https://clinicaltrials.gov/ct2/show/NCT03508427 International Registered Report Identifier (IRRID) DERR1-10.2196/18818

scholarly journals Differences in mood instability in patients with bipolar disorder type I and II: a smartphone-based study

2019 ◽  
Vol 7 (1) ◽  
Author(s):  
Maria Faurholt-Jepsen ◽  
Mads Frost ◽  
Jonas Busk ◽  
Ellen Margrethe Christensen ◽  
Jakob E. Bardram ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Type I ◽  
Mood Instability ◽  
Disorder Type

Affective and non-affective cognition in patients with bipolar disorder type I and type II in full or partial remission: Associations with familial risk

2021 ◽  
Vol 283 ◽  
pp. 207-215
Author(s):  
Mette Bagge Jensen ◽  
Hanne Lie Kjærstad ◽  
Klara Coello ◽  
Sharleny Stanislaus ◽  
Sigurd Melbye ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Partial Remission ◽  
Familial Risk ◽  
Type I ◽  
Type Ii ◽  
Disorder Type
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