Depression-cognitive interaction affect amygdala functional connection in mild cognitive impairment
Poster No:
107
Submission Type:
Abstract Submission
Authors:
Wei Jian1, Ziqi Wang1, Qingyan Cai1, Haiyang Sun2, Li Dong2, Dezhong Yao2
Institutions:
1The Clinical Hospital of Chengdu Brain Science Institute, Chengdu, Sichuan, 2School of Life Science and Technology,University of Electronic Science and Technology of China, Chengdu, Sichuan
First Author:
Co-Author(s):
Haiyang Sun
School of Life Science and Technology,University of Electronic Science and Technology of China
Chengdu, Sichuan
School of Life Science and Technology,University of Electronic Science and Technology of China
Chengdu, Sichuan
Li Dong
School of Life Science and Technology,University of Electronic Science and Technology of China
Chengdu, Sichuan
School of Life Science and Technology,University of Electronic Science and Technology of China
Chengdu, Sichuan
Dezhong Yao
School of Life Science and Technology,University of Electronic Science and Technology of China
Chengdu, Sichuan
School of Life Science and Technology,University of Electronic Science and Technology of China
Chengdu, Sichuan
Introduction:
Depression and cognitive impairment are common in elderly(Jia et al.,2020; Li et al.,2016),and depression is common in individuals with mild cognitive impairment(MCI)(Ismail et al.,2017).Previous studies have shown changes in brain structure and function in elderly with depression and MCI,primarily involving the prefrontal lobes,hippocampus,amygdala,and cingulate gyrus(Sexton et al.,2013;Zacková et al.,2021).However,the underlying mechanism of interaction between depression and cognitive impairment was still unclear.The purpose of this study was to investigate relationship between cognitive impairment and depression via brain functional connectivity(FC) in normal older adults and MCI patients.
Methods:
A total of 120 participants have been recruited in this study,including 45 healthy controls(HC) and 75 MCI.Diagnosis of MCI was made on the basis of Petersen's criteria(Petersen et al.,1999).All participants underwent neuropsychological assessment and resting state fMRI(rsfMRI) exams.We used the Montreal Cognitive Assessment-Basic(MOCA-B) to assess global cognitive function.Participants were considered clinically depressed if they exhibited Hamilton Depression Rating Scale(HAMD) scores≥7(Hamilton et al.,1967).The fMRI data were collected from a 3.0T MRI scanner(Trio 3T,Siemens Healthcare,Erlangen Germany) at the fourth people's hospital of Chengdu.All fMRI images were preprocessed in a traditional procedure comprised discarding first 5 volumes,slice time correction,realignment,and spatial normalization by a neuroscience information toolbox NIT.The toolkit was further used to regression 24 head motion parameters,white matter and cerebrospinal fluid signals,linear drift and whole brain mean signals,and a band-pass filter with a pass band of 0.01~0.08Hz was used for filtering.The toolbox REST1.8 was used to calculate the voxel level FC of preprocessed functional images.We selected amygdala as seed point for FC analysis.Statistical analysis was performed using DPABI toolbox.We tested the main and interactive effects of depression and cognition on FC.We extracted the average parameter values of each participant's FC indicators for a simple slope analysis to determine the directivity of the MOCA×HAMD interaction.
Results:
Whole brain analysis demonstrated a significant MOCA×HAMD interactions on FCs.The significant result(Gaussian random field corrected,cluster p value<0.05,voxel p value<0.01) regions of the interaction effects based on the seed point of amygdala were distributed in left precuneus,left post cingulate,left putamen,part of thalamus,posterior central gyrus,right supplementary motor area,right superior parietal gyrus,and right dorsolateral superior frontal gyrus.In simple slope analysis,the FC results with amygdala as the seed point showed different results in different emotional states.In details,in the HAMD<7 group,the regions where the FC mean has a positive conditional slope on the MOCA-B score were located in the thalamus,putamen,posterior cingulate gyrus and precuneus,supplementary motor area and right parietal gyrus.The negative conditional slope was found in the right dorsolateral superior frontal gyrus.In the HAMD≥7 group,the positive conditional slope of FC mean on MOCA-B score was found in the right dorsolateral superior frontal gyrus.And,negative conditional slopes were found in thalamus,putamen,posterior cingulate and precuneus,supplementary motor area,and right parietal gyrus.
Conclusions:
Our study found that changes in FC between amygdala and networks involved default mode network(DMN) and sensorimotor network(SMN).It indicated cognitive-emotional interactions are mediated by decreased amygdala–DMN connectivity and amygdala–SMN connectivity.Depressive symptoms perhaps modulate the relationship between FC of amygdala and cognitive function.These results suggest the impact that depressive symptoms may have on cognitive function related functional activity in key brain regions and provide potential targets for depression interventions.
Disorders of the Nervous System:
Neurodegenerative/ Late Life (eg. Parkinson’s, Alzheimer’s) 1
Psychiatric (eg. Depression, Anxiety, Schizophrenia)
Modeling and Analysis Methods:
Connectivity (eg. functional, effective, structural) 2
Keywords:
Cognition
Emotions
MRI
Other - amygdala;functional connectivity;mild cognitive impairment
1|2Indicates the priority used for review
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Healthy subjects only or patients (note that patient studies may also involve healthy subjects):
Was this research conducted in the United States?
Were any human subjects research approved by the relevant Institutional Review Board or ethics panel? NOTE: Any human subjects studies without IRB approval will be automatically rejected.
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Provide references using APA citation style.
Ismail Z, et al. Prevalence of Depression in Patients With Mild Cognitive Impairment: A Systematic Review and Meta-analysis. JAMA Psychiatry. 2017. 74(1): 58-67.
Jia L, et al. Prevalence, risk factors, and management of dementia and mild cognitive impairment in adults aged 60 years or older in China: a cross-sectional study. Lancet Public Health. 2020. 5(12): e661-e671.
Li N,et al. Prevalence of depression and its associated factors among Chinese elderly people: A comparison study between community-based population and hospitalized population. Psychiatry Research. 2016. 243: 87-91.
Petersen RC,et al. Mild cognitive impairment: clinical characterization and outcome. Archives of Neurology. 1999. 56(3): 303-8.
Sexton CE, et al. A systematic review and meta-analysis of magnetic resonance imaging studies in late-life depression. The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry. 2013. 21(2): 184-95.
Zacková L, et al. Cognitive impairment and depression: Meta-analysis of structural magnetic resonance imaging studies. Neuroimage Clinical. 2021. 32: 102830.