Altered Static and Temporal Dynamic Amplitude of Low-Frequency Fluctuations in the Background Network During Working Memory States in Mild Cognitive Impairment

Overview

Journal Front Aging Neurosci

Specialty Geriatrics

Date 2019 Jul 19

PMID 31316370

Citations 16

Authors

Pengyun Wang

Rui Li

Bei Liu

Cheng Wang

Zirui Huang

Rui Dai

Bogeng Song

Xiao Yuan

Jing Yu

Juan Li

Affiliations

Soon will be listed here.

Abstract

Previous studies investigating working memory performance in patients with mild cognitive impairment (MCI) have mainly focused on the neural mechanisms of alterations in activation. To date, very few studies have investigated background network alterations in the working memory state. Therefore, the present study investigated the static and temporal dynamic changes in the background network in MCI patients during a working memory task. A hybrid delayed-match-to-sample task was used to examine working memory performance in MCI patients. Functional magnetic resonance imaging (fMRI) data were collected and the marker of amplitude of low-frequency fluctuations (ALFF) was used to investigate alterations in the background network. The present study demonstrated static and dynamic alterations of ALFF in MCI patients during working memory tasks, relative to the resting state. Traditional static analysis revealed that ALFF decreased in the right ventrolateral prefrontal cortex (VLPFC), right dorsolateral PFC (DLPFC), and left supplementary motor area for normal controls (NCs) in the working memory state. However, the same regions showed increased ALFF in MCI patients. Furthermore, relative to NCs, MCI patients demonstrated altered performance-related functional connectivity (FC) patterns, with the right VLPFC and right DLPFC as ROIs. In terms of temporal dynamic analysis, the present study found that in the working memory state dynamic ALFF of bilateral thalamus regions was increased in NCs but decreased in MCI patients. Additionally, MCI patients demonstrated altered performance-related coefficient of variation patterns; the regions in MCI patients were larger and more widely distributed in the parietal and temporal lobes, relative to NCs. This is the first study to examine static and temporal dynamic alterations of ALFF in the background network of MCI patients in working memory states. The results extend previous studies by providing a new perspective on the neural mechanisms of working memory deficits in MCI patients.

Citing Articles

Disruptive and complementary effects of depression symptoms on spontaneous brain activity in the subcortical vascular mild cognitive impairment.

Hu L, Chen J, Li X, Zhang H, Zhang J, Lu Y Front Aging Neurosci. 2024; 16:1338179.

PMID: 39355540 PMC: 11442267. DOI: 10.3389/fnagi.2024.1338179.

A potential brain functional biomarker distinguishing patients with Crohn's disease with different disease stages: a resting-state fMRI study.

Huang M, Ma G, Zou Y, Ma H, Fan W, Li X Front Neurosci. 2024; 18:1361320.

PMID: 38500485 PMC: 10945013. DOI: 10.3389/fnins.2024.1361320.

Dynamic brain activity states of memory impairment in stroke patients with varying motor outcomes.

Wang C, Liu J, Guo J, Han S, Miao P, Wei Y Front Aging Neurosci. 2023; 15:1294009.

PMID: 38046468 PMC: 10690823. DOI: 10.3389/fnagi.2023.1294009.

Altered static and dynamic intrinsic brain activity in unilateral sudden sensorineural hearing loss.

Li J, Yu X, Zou Y, Leng Y, Yang F, Liu B Front Neurosci. 2023; 17:1257729.

PMID: 37719156 PMC: 10500124. DOI: 10.3389/fnins.2023.1257729.

Functional brain activity in patients with amnestic mild cognitive impairment: an rs-fMRI study.

Yue J, Han S, Liu X, Wang S, Zhao W, Cai L Front Neurol. 2023; 14:1244696.

PMID: 37674874 PMC: 10477362. DOI: 10.3389/fneur.2023.1244696.

References

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

Jiang Y, Haxby J, Martin A, Ungerleider L, Parasuraman R . Complementary neural mechanisms for tracking items in human working memory. Science. 2000; 287(5453):643-6. DOI: 10.1126/science.287.5453.643. View

Kennett S, Eimer M, Spence C, Driver J . Tactile-visual links in exogenous spatial attention under different postures: convergent evidence from psychophysics and ERPs. J Cogn Neurosci. 2001; 13(4):462-78. DOI: 10.1162/08989290152001899. View

Spence C, McGlone F, Kettenmann B, Kobal G . Attention to olfaction. A psychophysical investigation. Exp Brain Res. 2001; 138(4):432-7. DOI: 10.1007/s002210100713. View

Ishai A, Ungerleider L, Martin A, Haxby J . The representation of objects in the human occipital and temporal cortex. J Cogn Neurosci. 2001; 12 Suppl 2:35-51. DOI: 10.1162/089892900564055. View

Petersen R, Doody R, Kurz A, Mohs R, Morris J, Rabins P . Current concepts in mild cognitive impairment. Arch Neurol. 2001; 58(12):1985-92. DOI: 10.1001/archneur.58.12.1985. View

Folstein M, Folstein S, McHugh P . "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975; 12(3):189-98. DOI: 10.1016/0022-3956(75)90026-6. View

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

Petersen R . Mild cognitive impairment as a diagnostic entity. J Intern Med. 2004; 256(3):183-94. DOI: 10.1111/j.1365-2796.2004.01388.x. View

10.

Nasreddine Z, Phillips N, Bedirian V, Charbonneau S, Whitehead V, Collin I . The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005; 53(4):695-9. DOI: 10.1111/j.1532-5415.2005.53221.x. View

11.

Sauseng P, Klimesch W, Schabus M, Doppelmayr M . Fronto-parietal EEG coherence in theta and upper alpha reflect central executive functions of working memory. Int J Psychophysiol. 2005; 57(2):97-103. DOI: 10.1016/j.ijpsycho.2005.03.018. View

12.

Zang Y, He Y, Zhu C, Cao Q, Sui M, Liang M . Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI. Brain Dev. 2006; 29(2):83-91. DOI: 10.1016/j.braindev.2006.07.002. View

13.

Baddeley A . Working memory. Science. 1992; 255(5044):556-9. DOI: 10.1126/science.1736359. View

14.

Yang H, Long X, Yang Y, Yan H, Zhu C, Zhou X . Amplitude of low frequency fluctuation within visual areas revealed by resting-state functional MRI. Neuroimage. 2007; 36(1):144-52. DOI: 10.1016/j.neuroimage.2007.01.054. View

15.

Guo C, Lawson A, Zhang Q, Jiang Y . Brain potentials distinguish new and studied objects during working memory. Hum Brain Mapp. 2007; 29(4):441-52. PMC: 3665269. DOI: 10.1002/hbm.20409. View

16.

Sorg C, Riedl V, Muhlau M, Calhoun V, Eichele T, Laer L . Selective changes of resting-state networks in individuals at risk for Alzheimer's disease. Proc Natl Acad Sci U S A. 2007; 104(47):18760-5. PMC: 2141850. DOI: 10.1073/pnas.0708803104. View

17.

Zou Q, Zhu C, Yang Y, Zuo X, Long X, Cao Q . An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: fractional ALFF. J Neurosci Methods. 2008; 172(1):137-41. PMC: 3902859. DOI: 10.1016/j.jneumeth.2008.04.012. View

18.

Jones T, Bandettini P, Kenworthy L, Case L, Milleville S, Martin A . Sources of group differences in functional connectivity: an investigation applied to autism spectrum disorder. Neuroimage. 2009; 49(1):401-14. PMC: 2832835. DOI: 10.1016/j.neuroimage.2009.07.051. View

19.

Qi Z, Wu X, Wang Z, Zhang N, Dong H, Yao L . Impairment and compensation coexist in amnestic MCI default mode network. Neuroimage. 2009; 50(1):48-55. DOI: 10.1016/j.neuroimage.2009.12.025. View

20.

Zhang Z, Lu G, Zhong Y, Tan Q, Chen H, Liao W . fMRI study of mesial temporal lobe epilepsy using amplitude of low-frequency fluctuation analysis. Hum Brain Mapp. 2010; 31(12):1851-61. PMC: 6870704. DOI: 10.1002/hbm.20982. View