2020
DOI: 10.1186/s12916-020-01867-5
|View full text |Cite
|
Sign up to set email alerts
|

Understanding personalized dynamics to inform precision medicine: a dynamic time warp analysis of 255 depressed inpatients

Abstract: Background Major depressive disorder (MDD) shows large heterogeneity of symptoms between patients, but within patients, particular symptom clusters may show similar trajectories. While symptom clusters and networks have mostly been studied using cross-sectional designs, temporal dynamics of symptoms within patients may yield information that facilitates personalized medicine. Here, we aim to cluster depressive symptom dynamics through dynamic time warping (DTW) analysis. … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

3
34
0
1

Year Published

2021
2021
2024
2024

Publication Types

Select...
6
1
1

Relationship

1
7

Authors

Journals

citations
Cited by 39 publications
(38 citation statements)
references
References 53 publications
(76 reference statements)
3
34
0
1
Order By: Relevance
“…Some specific findings are worth discussing in some detail. The association between depressed mood and anhedonia was consistent with other findings 45 , representing core symptoms of depression 46 , and excessive and uncontrollable worry as a transdiagnostic process (i.e. repetitive negative thinking) 47 , 48 .…”
Section: Discussionsupporting
confidence: 90%
“…Some specific findings are worth discussing in some detail. The association between depressed mood and anhedonia was consistent with other findings 45 , representing core symptoms of depression 46 , and excessive and uncontrollable worry as a transdiagnostic process (i.e. repetitive negative thinking) 47 , 48 .…”
Section: Discussionsupporting
confidence: 90%
“…Some specific findings are worth discussing in some detail. The association between depressed mood and anhedonia was consistent with other findings 44 , representing core symptoms of depression 45 , and excessive and uncontrollable worry as a transdiagnostic process (i.e. repetitive negative thinking) 46,47 .…”
Section: Discussionsupporting
confidence: 90%
“…One interesting result is the heterogeneity across participants in (univariate) autoregressive effects for the majority of EMA variables. Idiographic follow-up work will be important to understand how time series of mental health data, and their relations, differ across people (Fisher et al, 2018;Fried & Cramer, 2017;Hebbrecht et al, 2020).…”
Section: Discussionmentioning
confidence: 99%