Smartphone-based objective monitoring in bipolar disorder: status and considerations

Faurholt‐Jepsen, Maria; Bauer, Michael; Kessing, Lars Vedel

doi:10.1186/s40345-017-0110-8

Cited by 98 publications

(59 citation statements)

References 70 publications

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“…The analysis showed that CBT programs with sessions of 90 min or more are most effective, and the efficacy is more enhanced for bipolar I disorder than bipolar II disorder. In the era of information technology, the efficacy of computerized CBT or smartphone‐based activity monitoring on treatment of BD is an issue that urgently requires study. Negative cognitive style, which is the target of CBT and causes vulnerability to depression, is reportedly associated with hyperactivation of the amygdala .…”

Section: Treatment Strategiesmentioning

confidence: 99%

Current understanding of bipolar disorder: Toward integration of biological basis and treatment strategies

Kato

2019

Psychiatry Clin Neurosci

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Biological studies of bipolar disorder initially focused on the mechanism of action for antidepressants and antipsychotic drugs, and the roles of monoamines (e.g., serotonin, dopamine) have been extensively studied. Thereafter, based on the mechanism of action of lithium, intracellular signal transduction systems, including inositol metabolism and intracellular calcium signaling, have drawn attention. Involvement of intracellular calcium signaling has been supported by genetics and cellular studies. Elucidation of the neural circuits affected by calcium signaling abnormalities is critical, and our previous study suggested a role of the paraventricular thalamic nucleus. The genetic vulnerability of mitochondria causes calcium dysregulation and results in the hyperexcitability of serotonergic neurons, which are suggested to be susceptible to oxidative stress. Efficacy of anticonvulsants, animal studies of candidate genes, and studies using induced pluripotent stem cell‐derived neurons have suggested a relation between bipolar disorder and the hyperexcitability of neurons. Recent genetic findings suggest the roles of polyunsaturated acids. At the systems level, social rhythm therapy targets circadian rhythm abnormalities, and cognitive behavioral therapy may target emotion/cognition (E/C) imbalance. In the future, pharmacological and psychosocial treatments may be combined and optimized based on the biological basis of each patient, which will realize individualized treatment.

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Section: Treatment Strategiesmentioning

confidence: 99%

Current understanding of bipolar disorder: Toward integration of biological basis and treatment strategies

Kato

2019

Psychiatry Clin Neurosci

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“…Moreover, as it has already been demonstrated, passive behaviour information (i.e. without users input) captured from the smartphone usage and sensors could enhance the precision of clinical algorithms and could represent a paradigm shift in mood tracking methods (Faurholt-Jepsen et al, 2018, 2015Hidalgo-Mazzei et al, 2018). The next version of SIMPLe (i.e.…”

Section: Accepted Manuscript Limitationsmentioning

confidence: 99%

OpenSIMPLe: A real-world implementation feasibility study of a smartphone-based psychoeducation programme for bipolar disorder

Hidalgo‐Mazzei

Reinares

Mateu

et al. 2018

Journal of Affective Disorders

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“…Smartphone-based monitoring is a potential solution [2]. Smartphones can passively collect behavioral data relevant to mood, and smartphone ownership is becoming increasingly ubiquitous [3], meaning such an approach could help to make mental health care more widely accessible.…”

Section: Introductionmentioning

confidence: 99%

Into the Wild: Transitioning from Recognizing Mood in Clinical Interactions to Personal Conversations for Individuals with Bipolar Disorder

Matton¹,

McInnis²,

Provost³

2019

Interspeech 2019

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Bipolar Disorder, a mood disorder with recurrent mania and depression, requires ongoing monitoring and specialty management. Current monitoring strategies are clinically-based, engaging highly specialized medical professionals who are becoming increasingly scarce. Automatic speech-based monitoring via smartphones has the potential to augment clinical monitoring by providing inexpensive and unobtrusive measurements of a patient's daily life. The success of such an approach is contingent on the ability to successfully utilize "in-the-wild" data. However, most existing work on automatic mood detection uses datasets collected in clinical or laboratory settings. This study presents experiments in automatically detecting depression severity in individuals with Bipolar Disorder using data derived from clinical interviews and from personal conversations. We find that mood assessment is more accurate using data collected from clinical interactions, in part because of their highly structured nature. We demonstrate that although the features that are most effective in clinical interactions do not extend well to personal conversational data, we can identify alternative features relevant in personal conversational speech to detect mood symptom severity. Our results highlight the challenges unique to working with "in-the-wild" data, providing insight into the degree to which the predictive ability of speech features is preserved outside of a clinical interview.

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Smartphone-based objective monitoring in bipolar disorder: status and considerations

Cited by 98 publications

References 70 publications

Current understanding of bipolar disorder: Toward integration of biological basis and treatment strategies

Current understanding of bipolar disorder: Toward integration of biological basis and treatment strategies

OpenSIMPLe: A real-world implementation feasibility study of a smartphone-based psychoeducation programme for bipolar disorder

Into the Wild: Transitioning from Recognizing Mood in Clinical Interactions to Personal Conversations for Individuals with Bipolar Disorder

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