% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Dukart:1020263,
author = {Dukart, Jürgen and Wang, Xinyi and Hoffstaedter, Felix and
Kasper, Jan and Eickhoff, Simon and Patil, Kaustubh},
title = {{L}ifetime exposure to depression and neuroimaging measures
of brain structure and function},
journal = {JAMA network open},
volume = {7},
number = {2},
issn = {2574-3805},
address = {Chicago, Ill.},
publisher = {American Medical Association},
reportid = {FZJ-2024-00019},
pages = {e2356787},
year = {2024},
abstract = {Importance Despite decades of neuroimaging studies
reporting brain structural and functional alterations in
depression, discrepancies in findings across studies and
limited convergence across meta-analyses have raised
questions about the consistency and robustness of the
observed brain phenotypes.Objective To investigate the
associations between 6 operational criteria of lifetime
exposure to depression and functional and structural
neuroimaging measures.Design, Setting, and Participants This
cross-sectional study analyzed data from a UK Biobank cohort
of individuals aged 45 to 80 years who were enrolled between
January 1, 2014, and December 31, 2018. Participants
included individuals with a lifetime exposure to depression
and matched healthy controls without indications of
psychosis, mental illness, behavior disorder, and disease of
the nervous system. Six operational criteria of lifetime
exposure to depression were evaluated: help seeking for
depression; self-reported depression; antidepressant use;
depression definition by Smith et al; hospital International
Statistical Classification of Diseases and Related Health
Problems, Tenth Revision (ICD-10) diagnosis codes F32 and
F33; and Composite International Diagnostic Interview Short
Form score. Six increasingly restrictive depression
definitions and groups were defined based on the 6
depression criteria, ranging from meeting only 1 criterion
to meeting all 6 criteria. Data were analyzed between
January and October 2022.Main Outcomes and Measures
Functional measures were calculated using voxel-wise
fractional amplitude of low-frequency fluctuation (fALFF),
global correlation (GCOR), and local correlation (LCOR).
Structural measures were calculated using gray matter volume
(GMV).Results The study included 20 484 individuals with
lifetime depression (12 645 females $[61.7\%];$ mean [SD]
age, 63.91 [7.60] years) and 25 462 healthy controls (14
078 males $[55.3\%];$ mean [SD] age, 65.05 [7.8] years).
Across all depression criteria, individuals with lifetime
depression displayed regionally consistent decreases in
fALFF, LCOR, and GCOR (Cohen d range, −0.53 $[95\%$ CI,
−0.88 to −0.15] to −0.04 $[95\%$ CI, −0.07 to
−0.01]) but not in GMV (Cohen d range, −0.47 [95 $\%$
CI, −0.75 to −0.12] to 0.26 $[95\%$ CI, 0.15-0.37]).
Hospital ICD-10 diagnosis codes F32 and F33 (median [IQR]
difference in effect sizes, −0.14 [−0.17 to −0.11])
and antidepressant use (median [IQR] difference in effect
sizes, −0.12 [−0.16 to −0.10]) were criteria
associated with the most pronounced alterations.Conclusions
and Relevance Results of this cross-sectional study indicate
that lifetime exposure to depression was associated with
robust functional changes, with a more restrictive
depression definition revealing more pronounced alterations.
Different inclusion criteria for depression may be
associated with the substantial variation in imaging
findings reported in the literature.},
cin = {INM-7},
ddc = {610},
cid = {I:(DE-Juel1)INM-7-20090406},
pnm = {5253 - Neuroimaging (POF4-525)},
pid = {G:(DE-HGF)POF4-5253},
typ = {PUB:(DE-HGF)16},
pubmed = {38372997},
UT = {WOS:001174447500006},
doi = {10.1001/jamanetworkopen.2023.56787},
url = {https://juser.fz-juelich.de/record/1020263},
}