Data_Sheet_1_Association Between Amygdala Volume and Trajectories of Neuropsychiatric Symptoms in Alzheimer's Disease and Dementia With Lewy Bodies.PDF
Introduction: The amygdala is implicated in psychiatric illness. Even as the amygdala undergoes significant atrophy in mild dementia, amygdala volume is underexplored as a risk factor for neuropsychiatric symptoms (NPS).
Objective: To analyze the association between baseline amygdala volume and the longitudinal trajectories of NPS and cognitive decline in Alzheimer's disease (AD) and dementia with Lewy bodies (DLB) over 5 years.
Methods: Eighty-nine patients with mild dementia were included (AD = 55; DLB = 34). Amygdala volume was segmented from structural magnetic resonance images (sMRI) using a semi-automatic method (Freesurfer 6.0) and normalized by intracranial volumes. The intracranial volume-normalized amygdala was used as a predictor of the Neuropsychiatric Inventory (NPI) total score, ordinal NPI item scores (0 = absence of symptoms, 1–3 = mild symptoms, ≥4 = clinically relevant symptoms), and Mini-Mental State Examination (MMSE) as measured annually over 5 years using gamma, ordinal, and linear mixed-effects models, respectively. The models were adjusted for demographic variables, diagnosis, center of sMRI acquisition, and cognitive performance. Multiple testing-corrected p-values (q-values) are reported.
Results: Larger intracranial volume-normalized amygdala was associated with less agitation/aggression (odds ratio (OR) = 0.62 [0.43, 0.90], p = 0.011, q = 0.038) and less MMSE decline per year (fixed effect = 0.70, [0.29, 1.03], p = 0.001, q = 0.010) but more depression (OR = 1.49 [1.09, 2.04], p = 0.013, q = 0.040).
Conclusions: Greater amygdala volume in mild dementia is associated with lower odds of developing agitation/aggression, but higher odds of developing depression symptoms during the 5-year study period.
History
References
- https://doi.org//10.1159/000339727
- https://doi.org//10.1016/j.jalz.2018.09.011
- https://doi.org//10.1371/journal.pone.0026286
- https://doi.org//10.1111/cns.12317
- https://doi.org//10.3174/ajnr.A4169
- https://doi.org//10.1016/j.pscychresns.2011.06.014
- https://doi.org//10.1016/j.pneurobio.2012.06.010
- https://doi.org//10.1016/j.mam.2015.05.005
- https://doi.org//10.1503/jpn.190156
- https://doi.org//10.1097/HRP.0000000000000207
- https://doi.org//10.1093/schbul/sbq131
- https://doi.org//10.1038/mp.2008.57
- https://doi.org//10.1016/j.biopsych.2006.11.013
- https://doi.org//10.1016/S0006-3223(01)01328-2
- https://doi.org//10.1001/archneurol.2008.517
- https://doi.org//10.1002/gps.4933
- https://doi.org//10.1192/bjp.2019.195
- https://doi.org//10.1590/S1980-57642013DN70300002
- https://doi.org//10.1159/000165917
- https://doi.org//10.2217/nmt-2020-0039
- https://doi.org//10.1212/01.wnl.0000187889.17253.b1
- https://doi.org//10.1212/WNL.34.7.939
- https://doi.org//10.1016/0022-3956(75)90026-6
- https://doi.org//10.1192/bjp.140.6.566
- https://doi.org//10.3233/JAD-170274
- https://doi.org//10.1212/WNL.44.12.2308
- https://doi.org//10.1159/000338410
- https://doi.org//10.1017/S1041610214001987
- https://doi.org//10.1001/jama.288.12.1475
- https://doi.org//10.1159/000110738
- https://doi.org//10.1016/S0896-6273(02)00569-X
- https://doi.org//10.1093/cercor/bhg087
- https://doi.org//10.1016/j.neuroimage.2005.09.046
- https://doi.org//10.3389/fnagi.2014.00264
- https://doi.org//10.1111/1467-9868.00346
- https://doi.org//10.1093/bioinformatics/btn209
- https://doi.org//10.1007/s11749-009-0138-x
- https://doi.org//10.1371/journal.pmed.0040297
- https://doi.org//10.1006/nimg.2002.1197
- https://doi.org//10.1212/WNL.54.6.1304
- https://doi.org//10.1212/WNL.51.2.357
- https://doi.org//10.1016/j.neurobiolaging.2010.12.015
- https://doi.org//10.2174/1567205011666140131123653
- https://doi.org//10.1016/j.jalz.2012.10.005
- https://doi.org//10.1016/S0006-3223(02)01474-9
- https://doi.org//10.1017/S0033291703001806
- https://doi.org//10.1097/01.wnr.0000186596.64458.76
- https://doi.org//10.1212/01.wnl.0000230161.28299.3c
- https://doi.org//10.1016/j.ajog.2017.04.016
- https://doi.org//10.1016/S1474-4422(15)00019-8
- https://doi.org//10.1155/2012/719250
- https://doi.org//10.1136/jnnp-2018-318265
- https://doi.org//10.1136/jnnp-2019-322702
- https://doi.org//10.1016/j.neuroimage.2008.12.033
- https://doi.org//10.1016/j.neuroimage.2016.01.038