The need for systems thinking to advance Alzheimer's disease research

Psychiatry Research, Год журнала: 2024, Номер 333, С. 115741 - 115741

Опубликована: Янв. 21, 2024

Despite extensive research efforts to mechanistically understand late-onset Alzheimer's disease (LOAD) and other complex mental health disorders, curative treatments remain elusive. We emphasize the multiscale multicausality inherent LOAD, highlighting interplay between interconnected pathophysiological processes risk factors. Systems thinking methods, such as causal loop diagrams systems dynamic models, offer powerful means capture study this complexity. In recent studies, we developed validated a diagram system dynamics model using multiple longitudinal data sets, enabling simulation of personalized interventions on various modifiable factors in LOAD. The results indicate that targeting like sleep disturbance depressive symptoms could be promising yield synergistic benefits. Furthermore, showed significant potential, with top-ranked intervention strategies differing significantly across individuals. argue approaches can open new prospects for multifactorial precision medicine. future research, may also guide structured, model-driven collection interactions LOAD's multicausality, facilitating theory development possibly resulting effective prevention treatment options.

Язык: Английский

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Individual-Specific Animated Profiles of Mental Health

Perspectives on Psychological Science, Год журнала: 2024, Номер unknown

Опубликована: Фев. 20, 2024

How important is the timing of pretreatment evaluation? If we consider mental health to be a relatively fixed condition, specific (e.g., day, hour) evaluation immaterial and often determined on basis technical considerations. Indeed, fundamental assumption underlying vast majority psychotherapy research practice that state can captured in one-dimensional snapshot. this assumption, 80 years empirical practice, incorrect, it may help explain why for decades failed rise above 50% efficacy rate treatment mental-health disorders, especially depression, heterogeneous disorder leading cause disability worldwide. Based recent studies suggesting within-individual dynamics, article proposes its therapeutic mechanisms have intrinsic dynamics manifest across dimensions. Computational needed develop individual-specific animated profiles health. Such are expected improve ability select optimal each patient, devise adequate plans, adjust them ongoing evaluations creating new understanding change as transition toward more adaptive profile.

Язык: Английский

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Slow down and be critical before using early warning signals in psychopathology

Nature Reviews Psychology, Год журнала: 2024, Номер 3(11), С. 767 - 780

Опубликована: Окт. 10, 2024

Early warning signals are considered to be generic indicators of a system's accumulating instability and 'critical slowing down' prior substantial abrupt transitions between stable states. In clinical psychology, these have been proposed enable personalized predictions the impending onset, recurrence remission mental health problems before changes in symptoms occur, thereby facilitating timely therapeutic interventions. this Perspective, we question idea that early person's emotion time series can predict symptoms. Using empirical findings date theoretical methodological limitations inherent their application, argue there is little support for use based on critical down psychology. Deepening our knowledge foundations predictors improving measurement key clarifying potential boundaries psychopathology. It necessary build insights gained from signal studies improve evaluate alternative methods, keeping mind applications require prospective, real-time not only indicate whether, but also when, specific person likely experience health. symptom provide warnings risk recovery. Helmich et al. utility such discuss avenues change prediction.

Язык: Английский

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Preventive mental health care: A complex systems framework for ambient smart environments

Cognitive Systems Research, Год журнала: 2023, Номер 84, С. 101199 - 101199

Опубликована: Дек. 17, 2023

We offer a framework for the design and use of Ambient Smart Environments (ASEs) preventive mental health care support. Drawing from Complex Systems Theory (CST) 'E' Cognitive Science (ECS), we claim that ASEs have potential to act in capacity support good health, i.e. supporting dynamics avoid so-called "struck states" (which are, according CST, thought generally underpin forms psychopathology). Here, frame our discussion with what has recently been termed "mind-technology problem". define characterise ASE systems, present some examples, briefly survey existing theoretical work. After introducing essential CST terminology, paper goes on apply explain developmental adaptation continuously changing (smart) environments. Understanding ASE's navigation terms dynamic geometry between attracting repelling points (or local minima/local maxima), allows us develop neurotechnology can augment clinical interventions by predicting upcoming shifts symptomatic outcomes, when intervention (i.e. destabilisation) should take place. further clear directions development such neurotechnology.

Язык: Английский

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Dynamic Associations Among Sleep, Emotion Dysregulation, and Desire to Live in a Perinatal Sample

Psychosomatic Medicine, Год журнала: 2024, Номер 86(4), С. 272 - 282

Опубликована: Март 4, 2024

Objective The present study prospectively examined dynamic associations among sleep, emotion dysregulation, and desire to live during the perinatal transition, as it was theorized that these factors may contribute emergence of postpartum suicide risk. Method Ninety-four women ( M age = 29.2 years; 23.4% Latina) wore wrist actigraphs completed twice daily surveys for 7 days third trimester pregnancy, 6 weeks postpartum, 4 months postpartum. Multilevel, change-as-outcome models were built examine changes in attractor dynamics live, well if sleep-emotion dysregulation differed based on participants’ desires live. Results From pregnancy B −0.09, p .032) −0.16, < .001) exhibited more stable temporal patterns around higher lower Compared who reported consistently high those experienced fluctuations their lower, sleep efficiency −0.90, .001). At with fluctuating a coupling whereby low predicted increases .020). Conclusions This first nonlinear risk suicide, which be evident early Sleep health, particular, warrants further exploration key susceptibility factor Preregistration Open Science Framework (https://osf.io/qxb75/?view_only=799ffe5c048842dfb89d3ddfebaa420d).

Язык: Английский

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