Disrupted Regional Spontaneous Neural Activity in Mild Cognitive Impairment Patients with Depressive Symptoms: A Resting-State FMRI Study

Overview

Journal Neural Plast

Specialty Neurology

Date 2019 Feb 8

PMID 30728833

Citations 7

Authors

Xiaozheng Liu

Yunhai Tu

Yirou Zang

Aiqin Wu

Zhongwei Guo

Jiawei He

Affiliations

Soon will be listed here.

Abstract

Depressive symptoms are common in individuals with mild cognitive impairment (MCI) who have an increased risk of dementia. It is currently unclear whether the pattern of spontaneous brain activity in patients with MCI differs between subjects with and without depressive symptoms. The current study sought to investigate the features of spontaneous brain activity in MCI patients with depressive symptoms (D-MCI) using coherence regional homogeneity (CReHo) analysis with resting-state functional magnetic resonance imaging (rsfMRI). We obtained rsfMRI data in 16 MCI patients with depressive symptoms and 18 nondepressed MCI patients (nD-MCI) using a 3 T scanner. Statistical analyses were performed to determine the regions in which ReHo differed between the two groups in specific frequency bands, slow-4 (0.027-0.073 Hz) and slow-5 (0.010-0.027 Hz), and typical bands (0.01-0.08 Hz). Correlation analyses were performed between the CReHo index of these regions and clinical variables to evaluate the relationship between CReHo and pathophysiological measures in the two groups. Our results showed that D-MCI patients exhibited significantly higher CReHo in the left Heschl's gyrus and left thalamus and lower CReHo in the left postcentral gyrus in the typical frequency band. In the slow-4 frequency band, D-MCI patients showed significantly higher CReHo in the left Heschl's gyrus and left thalamus. In the slow-5 frequency band, D-MCI patients exhibited significantly lower CReHo in the superior medial prefrontal gyrus. In addition, the results revealed that CReHo values in the left thalamus were positively correlated with Hamilton Depression Rating Scale (HAMD) scores in D-MCI patients. These results suggest that the sensorimotor network may be one of the main pathophysiological factors in D-MCI.

Citing Articles

Altered local and remote functional connectivity in mild Alzheimer's disease patients with sleep disturbances.

Wang L, Zhu R, Zhou X, Zhang Z, Peng D Front Aging Neurosci. 2023; 15:1269582.

PMID: 37920381 PMC: 10619161. DOI: 10.3389/fnagi.2023.1269582.

Depression Is Associated with the Aberration of Resting State Default Mode Network Functional Connectivity in Patients with Amyloid-Positive Mild Cognitive Impairment.

Wang S, Kang D, Um Y, Kim S, Lee C, Lim H Brain Sci. 2023; 13(7).

PMID: 37509041 PMC: 10377088. DOI: 10.3390/brainsci13071111.

Alterations of voxel-wise spontaneous activity and corresponding brain functional networks in multiple system atrophy patients with mild cognitive impairment.

Li Y, Liu H, Yu H, Yang H, Guo M, Cao C Hum Brain Mapp. 2022; 44(2):403-417.

PMID: 36073537 PMC: 9842910. DOI: 10.1002/hbm.26058.

Intrinsic Brain Activity Alterations in Patients With Mild Cognitive Impairment-to-Normal Reversion: A Resting-State Functional Magnetic Resonance Imaging Study From Voxel to Whole-Brain Level.

Hu Q, Wang Q, Li Y, Xie Z, Lin X, Huang G Front Aging Neurosci. 2022; 13:788765.

PMID: 35111039 PMC: 8802752. DOI: 10.3389/fnagi.2021.788765.

Abnormal Functional Connectivity of the Amygdala in Mild Cognitive Impairment Patients With Depression Symptoms Revealed by Resting-State fMRI.

Yang T, Shen B, Wu A, Tang X, Chen W, Zhang Z Front Psychiatry. 2021; 12:533428.

PMID: 34335316 PMC: 8319717. DOI: 10.3389/fpsyt.2021.533428.

References

Ishida T, Donishi T, Iwatani J, Yamada S, Takahashi S, Ukai S . Interhemispheric disconnectivity in the sensorimotor network in bipolar disorder revealed by functional connectivity and diffusion tensor imaging analysis. Heliyon. 2017; 3(6):e00335. PMC: 5486438. DOI: 10.1016/j.heliyon.2017.e00335. View

Ridderinkhof K, Ullsperger M, Crone E, Nieuwenhuis S . The role of the medial frontal cortex in cognitive control. Science. 2004; 306(5695):443-7. DOI: 10.1126/science.1100301. View

Northoff G . How do resting state changes in depression translate into psychopathological symptoms? From 'Spatiotemporal correspondence' to 'Spatiotemporal Psychopathology'. Curr Opin Psychiatry. 2015; 29(1):18-24. DOI: 10.1097/YCO.0000000000000222. View

Mwangi B, Matthews K, Douglas Steele J . Prediction of illness severity in patients with major depression using structural MR brain scans. J Magn Reson Imaging. 2011; 35(1):64-71. DOI: 10.1002/jmri.22806. View

Zhang Z, Liu Y, Jiang T, Zhou B, An N, Dai H . Altered spontaneous activity in Alzheimer's disease and mild cognitive impairment revealed by Regional Homogeneity. Neuroimage. 2011; 59(2):1429-40. DOI: 10.1016/j.neuroimage.2011.08.049. View

Petersen R, Smith G, Waring S, Ivnik R, Tangalos E, Kokmen E . Mild cognitive impairment: clinical characterization and outcome. Arch Neurol. 1999; 56(3):303-8. DOI: 10.1001/archneur.56.3.303. View

Hamilton M . Development of a rating scale for primary depressive illness. Br J Soc Clin Psychol. 1967; 6(4):278-96. DOI: 10.1111/j.2044-8260.1967.tb00530.x. View

Liu D, Yan C, Ren J, Yao L, Kiviniemi V, Zang Y . Using coherence to measure regional homogeneity of resting-state FMRI signal. Front Syst Neurosci. 2010; 4:24. PMC: 2893000. DOI: 10.3389/fnsys.2010.00024. View

Cummings J, Mega M, Gray K, Carusi D, Gornbein J . The Neuropsychiatric Inventory: comprehensive assessment of psychopathology in dementia. Neurology. 1994; 44(12):2308-14. DOI: 10.1212/wnl.44.12.2308. View

10.

Ismail Z, Elbayoumi H, Fischer C, Hogan D, Millikin C, Schweizer T . Prevalence of Depression in Patients With Mild Cognitive Impairment: A Systematic Review and Meta-analysis. JAMA Psychiatry. 2016; 74(1):58-67. DOI: 10.1001/jamapsychiatry.2016.3162. View

11.

Liu F, Hu M, Wang S, Guo W, Zhao J, Li J . Abnormal regional spontaneous neural activity in first-episode, treatment-naive patients with late-life depression: a resting-state fMRI study. Prog Neuropsychopharmacol Biol Psychiatry. 2012; 39(2):326-31. DOI: 10.1016/j.pnpbp.2012.07.004. View

12.

Schneider L, Tariot P, Lyketsos C, Dagerman K, Davis K, Davis S . National Institute of Mental Health Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE): Alzheimer disease trial methodology. Am J Geriatr Psychiatry. 2001; 9(4):346-60. View

13.

Guo W, Liu F, Xue Z, Yu Y, Ma C, Tan C . Abnormal neural activities in first-episode, treatment-naïve, short-illness-duration, and treatment-response patients with major depressive disorder: a resting-state fMRI study. J Affect Disord. 2011; 135(1-3):326-31. DOI: 10.1016/j.jad.2011.06.048. View

14.

Guo W, Liu F, Liu J, Yu L, Zhang Z, Zhang J . Is there a cerebellar compensatory effort in first-episode, treatment-naive major depressive disorder at rest?. Prog Neuropsychopharmacol Biol Psychiatry. 2013; 46:13-8. DOI: 10.1016/j.pnpbp.2013.06.009. View

15.

Petersen R . Mild cognitive impairment: current research and clinical implications. Semin Neurol. 2007; 27(1):22-31. DOI: 10.1055/s-2006-956752. View

16.

Liu C, Ma X, Wu X, Zhang Y, Zhou F, Li F . Regional homogeneity of resting-state brain abnormalities in bipolar and unipolar depression. Prog Neuropsychopharmacol Biol Psychiatry. 2012; 41:52-9. DOI: 10.1016/j.pnpbp.2012.11.010. View

17.

Chen J, Liu F, Xun G, Chen H, Hu M, Guo X . Early and late onset, first-episode, treatment-naive depression: same clinical symptoms, different regional neural activities. J Affect Disord. 2012; 143(1-3):56-63. DOI: 10.1016/j.jad.2012.05.025. View

18.

Zang Y, Jiang T, Lu Y, He Y, Tian L . Regional homogeneity approach to fMRI data analysis. Neuroimage. 2004; 22(1):394-400. DOI: 10.1016/j.neuroimage.2003.12.030. View

19.

Yao Z, Wang L, Lu Q, Liu H, Teng G . Regional homogeneity in depression and its relationship with separate depressive symptom clusters: a resting-state fMRI study. J Affect Disord. 2008; 115(3):430-8. DOI: 10.1016/j.jad.2008.10.013. View

20.

Guo W, Liu F, Chen J, Gao K, Xue Z, Xu X . Abnormal neural activity of brain regions in treatment-resistant and treatment-sensitive major depressive disorder: a resting-state fMRI study. J Psychiatr Res. 2012; 46(10):1366-73. DOI: 10.1016/j.jpsychires.2012.07.003. View