Andre Marquand
Overview
Explore the profile of Andre Marquand including associated specialties, affiliations and a list of published articles.
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Articles
35
Citations
1189
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Recent Articles
1.
Marquand A, Rutherford S, Dinga R
Lancet Digit Health
. 2024 Oct;
6(11):e775.
PMID: 39455189
No abstract available.
2.
McCutcheon R, Keefe R, McGuire P, Marquand A
JAMA Psychiatry
. 2024 Oct;
82(1):57-65.
PMID: 39382875
Importance: Cognitive functioning is associated with various factors, such as age, sex, education, and childhood adversity, and is impaired in people with psychosis. In addition to specific effects of the...
3.
Xu B, DallAglio L, Flournoy J, Bortsova G, Tervo-Clemmens B, Collins P, et al.
Commun Psychol
. 2024 Sep;
2(1):26.
PMID: 39242809
No abstract available.
4.
Xu B, DallAglio L, Flournoy J, Bortsova G, Tervo-Clemmens B, Collins P, et al.
Commun Psychol
. 2024 Sep;
2(1):16.
PMID: 39242757
Multivariate machine learning techniques are a promising set of tools for identifying complex brain-behavior associations. However, failure to replicate results from these methods across samples has hampered their clinical relevance....
5.
Zabihi M, Kia S, Wolfers T, de Boer S, Fraza C, Dinga R, et al.
PLoS One
. 2024 Aug;
19(8):e0308329.
PMID: 39116147
Finding an interpretable and compact representation of complex neuroimaging data is extremely useful for understanding brain behavioral mapping and hence for explaining the biological underpinnings of mental disorders. However, hand-crafted...
6.
Berthet P, Haatveit B, Kjelkenes R, Worker A, Kia S, Wolfers T, et al.
Schizophr Bull
. 2024 Jul;
51(1):95-107.
PMID: 38970378
Background: Clinical forecasting models have potential to optimize treatment and improve outcomes in psychosis, but predicting long-term outcomes is challenging and long-term follow-up data are scarce. In this 10-year longitudinal...
7.
Lett T, Vaidya N, Jia T, Polemiti E, Banaschewski T, Bokde A, et al.
medRxiv
. 2024 May;
PMID: 38766134
Current psychiatric diagnoses are not defined by neurobiological measures which hinders the development of therapies targeting mechanisms underlying mental illness . Research confined to diagnostic boundaries yields heterogeneous biological results,...
8.
Leonardsen E, Persson K, Grodem E, Dinsdale N, Schellhorn T, Roe J, et al.
NPJ Digit Med
. 2024 May;
7(1):110.
PMID: 38698139
Deep learning approaches for clinical predictions based on magnetic resonance imaging data have shown great promise as a translational technology for diagnosis and prognosis in neurological disorders, but its clinical...
9.
Barkema P, Rutherford S, Lee H, Kia S, Savage H, Beckmann C, et al.
Wellcome Open Res
. 2023 Sep;
8:326.
PMID: 37663797
Background: The neurobiology of mental disorders remains poorly understood despite substantial scientific efforts, due to large clinical heterogeneity and to a lack of tools suitable to map individual variability. Normative...
10.
Xu J, Liu N, Polemiti E, Garcia-Mondragon L, Tang J, Liu X, et al.
Nat Med
. 2023 Jun;
29(6):1456-1467.
PMID: 37322117
Urban-living individuals are exposed to many environmental factors that may combine and interact to influence mental health. While individual factors of an urban environment have been investigated in isolation, no...