TY - JOUR
T1 - BrainAge of patients with severe late-life depression referred for electroconvulsive therapy
AU - Wagenmakers, Margot J.
AU - Oudega, Mardien L.
AU - Klaus, Federica
AU - Wing, David
AU - Orav, Gwendolyn
AU - Han, Laura K. M.
AU - Binnewies, Julia
AU - Beekman, Aartjan T. F.
AU - Veltman, Dick J.
AU - Rhebergen, Didi
AU - van Exel, Eric
AU - Eyler, Lisa T.
AU - Dols, Annemieke
N1 - Funding Information: Federica Klaus funding sources: early postdoc mobility fellowship of the Swiss National Science Foundation (SNCF) (grant number P2ZHP3_181506) and Novartis Foundation for medical-biological research fellowship. Publisher Copyright: © 2023 Elsevier B.V.
PY - 2023/6/1
Y1 - 2023/6/1
N2 - Background: Severe depression is associated with accelerated brain aging. BrainAge gap, the difference between predicted and observed BrainAge, was investigated in patients with late-life depression (LLD). We aimed to examine BrainAge gap in LLD and its associations with clinical characteristics indexing LLD chronicity, current severity, prior to electroconvulsive therapy (ECT) and ECT outcome. Methods: Data was analyzed from the Mood Disorders in Elderly treated with Electroconvulsive Therapy (MODECT) study. A previously established BrainAge algorithm (BrainAge R by James Cole, (https://github.com/james-cole/brainageR)) was applied to pre-ECT T1-weighted structural MRI-scans of 42 patients who underwent ECT. Results: A BrainAge gap of 1.8 years (SD = 5.5) was observed, Cohen's d = 0.3. No significant associations between BrainAge gap, number of previous episodes, current episode duration, age of onset, depression severity, psychotic symptoms or ECT outcome were observed. Limitations: Limited sample size. Conclusions: Our initial findings suggest an older BrainAge than chronological age in patients with severe LLD referred for ECT, however with high degree of variability and direction of the gap. No associations were found with clinical measures. Larger samples are needed to better understand brain aging and to evaluate the usability of BrainAge gap as potential biomarker of prognosis an treatment-response in LLD. Trial registration: ClinicalTrials.gov
AB - Background: Severe depression is associated with accelerated brain aging. BrainAge gap, the difference between predicted and observed BrainAge, was investigated in patients with late-life depression (LLD). We aimed to examine BrainAge gap in LLD and its associations with clinical characteristics indexing LLD chronicity, current severity, prior to electroconvulsive therapy (ECT) and ECT outcome. Methods: Data was analyzed from the Mood Disorders in Elderly treated with Electroconvulsive Therapy (MODECT) study. A previously established BrainAge algorithm (BrainAge R by James Cole, (https://github.com/james-cole/brainageR)) was applied to pre-ECT T1-weighted structural MRI-scans of 42 patients who underwent ECT. Results: A BrainAge gap of 1.8 years (SD = 5.5) was observed, Cohen's d = 0.3. No significant associations between BrainAge gap, number of previous episodes, current episode duration, age of onset, depression severity, psychotic symptoms or ECT outcome were observed. Limitations: Limited sample size. Conclusions: Our initial findings suggest an older BrainAge than chronological age in patients with severe LLD referred for ECT, however with high degree of variability and direction of the gap. No associations were found with clinical measures. Larger samples are needed to better understand brain aging and to evaluate the usability of BrainAge gap as potential biomarker of prognosis an treatment-response in LLD. Trial registration: ClinicalTrials.gov
KW - Biological age
KW - BrainAge gap
KW - Electroconvulsive therapy
KW - Late-life depression
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85149994819&origin=inward
UR - https://www.ncbi.nlm.nih.gov/pubmed/36858270
U2 - https://doi.org/10.1016/j.jad.2023.02.047
DO - https://doi.org/10.1016/j.jad.2023.02.047
M3 - Article
C2 - 36858270
SN - 0165-0327
VL - 330
SP - 1
EP - 6
JO - Journal of affective disorders
JF - Journal of affective disorders
ER -