Lisa B Sheeber
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Explore the profile of Lisa B Sheeber including associated specialties, affiliations and a list of published articles.
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38
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1306
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Recent Articles
1.
Weiner L, Crowley R, Sheeber L, Koegler F, Davis J, Wells M, et al.
JMIR Ment Health
. 2024 Sep;
11():e51366.
PMID: 39298763
Background: Adolescence and early adulthood are pivotal stages for the onset of mental health disorders and the development of health behaviors. Digital behavioral activation interventions, with or without coaching support,...
2.
Bilalpur M, Hinduja S, Cariola L, Sheeber L, Allen N, Jeni L, et al.
IEEE Trans Affect Comput
. 2024 Sep;
2023.
PMID: 39296877
Depression is the most common psychological disorder, a leading cause of disability world-wide, and a major contributor to inter-generational transmission of psychopathology within families. To contribute to our understanding of...
3.
Cariola L, Sheeber L, Allen N, Bilalpur M, Bird T, Hinduja S, et al.
J Affect Disord
. 2024 Aug;
366:290-299.
PMID: 39187178
Background: Approximately 10% of mothers experience depression each year, which increases risk for depression in offspring. Currently no research has analysed the linguistic features of depressed mothers and their adolescent...
4.
Cariola L, Hinduja S, Bilalpur M, Sheeber L, Allen N, Morency L, et al.
Int Conf Affect Comput Intell Interact Workshops
. 2024 Aug;
2022.
PMID: 39161704
This preliminary study applied a computer-assisted quantitative linguistic analysis to examine the effectiveness of language-based classification models to discriminate between mothers (n = 140) with and without history of treatment...
5.
Mudiam K, Sheeber L, Leve C, Pfeifer J, Allen N
J Res Adolesc
. 2023 May;
33(3):1023-1037.
PMID: 37165702
Parenting styles associated with maternal depression are a risk factor for adolescent psychopathology, and maternal attributional styles may be a key mechanism in this relationship. Mother-adolescent dyads (N = 180;...
6.
Wortwein T, Sheeber L, Allen N, Cohn J, Morency L
Proc ACM Int Conf Multimodal Interact
. 2022 Feb;
2021:728-734.
PMID: 35128550
This paper studies the hypothesis that not all modalities are always needed to predict affective states. We explore this hypothesis in the context of recognizing three affective states that have...
7.
Furukawa T, Suganuma A, Ostinelli E, Andersson G, Beevers C, Shumake J, et al.
Lancet Psychiatry
. 2021 May;
8(6):500-511.
PMID: 33957075
Background: Internet cognitive behavioural therapy (iCBT) is a viable delivery format of CBT for depression. However, iCBT programmes include training in a wide array of cognitive and behavioural skills via...
8.
Karyotaki E, Efthimiou O, Miguel C, Maas Genannt Bermpohl F, Furukawa T, Cuijpers P, et al.
JAMA Psychiatry
. 2021 Jan;
78(4):361-371.
PMID: 33471111
Importance: Personalized treatment choices would increase the effectiveness of internet-based cognitive behavioral therapy (iCBT) for depression to the extent that patients differ in interventions that better suit them. Objective: To...
9.
Asgari M, Shafran I, Sheeber L
IEEE Int Workshop Mach Learn Signal Process
. 2020 Dec;
2014.
PMID: 33288990
In this paper, we investigate the problem of detecting depression from recordings of subjects' speech using speech processing and machine learning. There has been considerable interest in this problem in...
10.
Baggett K, Davis B, Sheeber L, Ammerman R, Mosley E, Miller K, et al.
Int J Environ Res Public Health
. 2020 Dec;
17(23).
PMID: 33276610
Mothers in the United States (U.S.) who are of non-dominant culture and socioeconomically disadvantaged experience depression during postpartum at a rate 3 to 4 times higher than mothers in the...