Refined Prefrontal Working Memory Network As a Neuromarker for Alzheimer's Disease

Overview

Journal Biomed Opt Express

Specialty Radiology

Date 2021 Dec 3

PMID 34858710

Citations 2

Authors

EunHo Kim

Jin-Woo Yu

Bomin Kim

Sung-Ho Lim

Sang-Ho Lee

Kwangsu Kim

Gowoon Son

Hyeon-Ae Jeon

Cheil Moon

Joon Sakong

Ji-Woong Choi

Affiliations

Soon will be listed here.

Abstract

Detecting Alzheimer's disease (AD) is an important step in preventing pathological brain damage. Working memory (WM)-related network modulation can be a pathological feature of AD, but is usually modulated by untargeted cognitive processes and individual variance, resulting in the concealment of this key information. Therefore, in this study, we comprehensively investigated a new neuromarker, named "refined network," in a prefrontal cortex (PFC) that revealed the pathological features of AD. A refined network was acquired by removing unnecessary variance from the WM-related network. By using a functional near-infrared spectroscopy (fNIRS) device, we evaluated the reliability of the refined network, which was identified from the three groups classified by AD progression: healthy people (N=31), mild cognitive impairment (N=11), and patients with AD (N=18). As a result, we identified edges with significant correlations between cognitive functions and groups in the dorsolateral PFC. Moreover, the refined network achieved a significantly correlating metric with neuropsychological test scores, and a remarkable three-class classification accuracy (95.0%). These results implicate the refined PFC WM-related network as a powerful neuromarker for AD screening.

Citing Articles

Hotspots and trends in fNIRS disease research: A bibliometric analysis.

Ye X, Peng L, Sun N, He L, Yang X, Zhou Y Front Neurosci. 2023; 17:1097002.

PMID: 36937686 PMC: 10017540. DOI: 10.3389/fnins.2023.1097002.

Screening for Alzheimer's disease using prefrontal resting-state functional near-infrared spectroscopy.

Keles H, Karakulak E, Hanoglu L, Omurtag A Front Hum Neurosci. 2022; 16:1061668.

PMID: 36518566 PMC: 9742284. DOI: 10.3389/fnhum.2022.1061668.

References

Medaglia J, Lynall M, Bassett D . Cognitive network neuroscience. J Cogn Neurosci. 2015; 27(8):1471-91. PMC: 4854276. DOI: 10.1162/jocn_a_00810. View

Dai Z, Yan C, Li K, Wang Z, Wang J, Cao M . Identifying and Mapping Connectivity Patterns of Brain Network Hubs in Alzheimer's Disease. Cereb Cortex. 2014; 25(10):3723-42. DOI: 10.1093/cercor/bhu246. View

Soltanlou M, Sitnikova M, Nuerk H, Dresler T . Applications of Functional Near-Infrared Spectroscopy (fNIRS) in Studying Cognitive Development: The Case of Mathematics and Language. Front Psychol. 2018; 9:277. PMC: 5891614. DOI: 10.3389/fpsyg.2018.00277. View

Scholkmann F, Kleiser S, Metz A, Zimmermann R, Pavia J, Wolf U . A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology. Neuroimage. 2013; 85 Pt 1:6-27. DOI: 10.1016/j.neuroimage.2013.05.004. View

Jin W, Zhu H, Shu P, Tong S, Sun J . Extracting Individual Neural Fingerprint Encoded in Functional Connectivity by Silencing Indirect Effects. IEEE Trans Biomed Eng. 2019; 67(8):2253-2265. DOI: 10.1109/TBME.2019.2958333. View

Cicalese P, Li R, Ahmadi M, Wang C, Francis J, Selvaraj S . An EEG-fNIRS hybridization technique in the four-class classification of alzheimer's disease. J Neurosci Methods. 2020; 336:108618. PMC: 7376762. DOI: 10.1016/j.jneumeth.2020.108618. View

Fox M, Raichle M . Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat Rev Neurosci. 2007; 8(9):700-11. DOI: 10.1038/nrn2201. View

Morris J . The Clinical Dementia Rating (CDR): current version and scoring rules. Neurology. 1993; 43(11):2412-4. DOI: 10.1212/wnl.43.11.2412-a. View

Petersen R . Early diagnosis of Alzheimer's disease: is MCI too late?. Curr Alzheimer Res. 2009; 6(4):324-30. PMC: 3098139. DOI: 10.2174/156720509788929237. View

10.

Finn E, Scheinost D, Finn D, Shen X, Papademetris X, Constable R . Can brain state be manipulated to emphasize individual differences in functional connectivity?. Neuroimage. 2017; 160:140-151. PMC: 8808247. DOI: 10.1016/j.neuroimage.2017.03.064. View

11.

Woo C, Chang L, Lindquist M, Wager T . Building better biomarkers: brain models in translational neuroimaging. Nat Neurosci. 2017; 20(3):365-377. PMC: 5988350. DOI: 10.1038/nn.4478. View

12.

Heun R, Freymann K, Erb M, Leube D, Jessen F, Kircher T . Mild cognitive impairment (MCI) and actual retrieval performance affect cerebral activation in the elderly. Neurobiol Aging. 2006; 28(3):404-13. DOI: 10.1016/j.neurobiolaging.2006.01.012. View

13.

Kim H, Yoo K, Na D, Seo S, Jeong J, Jeong Y . Non-monotonic reorganization of brain networks with Alzheimer's disease progression. Front Aging Neurosci. 2015; 7:111. PMC: 4460428. DOI: 10.3389/fnagi.2015.00111. View

14.

Ye Q, Su F, Shu H, Gong L, Xie C, Zhang Z . The apolipoprotein E gene affects the three-year trajectories of compensatory neural processes in the left-lateralized hippocampal network. Brain Imaging Behav. 2016; 11(5):1446-1458. DOI: 10.1007/s11682-016-9623-5. View

15.

Uemura K, Shimada H, Doi T, Makizako H, Tsutsumimoto K, Park H . Reduced prefrontal oxygenation in mild cognitive impairment during memory retrieval. Int J Geriatr Psychiatry. 2015; 31(6):583-91. DOI: 10.1002/gps.4363. View

16.

Wilkosz P, Seltman H, Devlin B, Weamer E, Lopez O, DeKosky S . Trajectories of cognitive decline in Alzheimer's disease. Int Psychogeriatr. 2009; 22(2):281-90. PMC: 2834298. DOI: 10.1017/S1041610209991001. View

17.

Shin J, Kwon J, Choi J, Im C . Performance enhancement of a brain-computer interface using high-density multi-distance NIRS. Sci Rep. 2017; 7(1):16545. PMC: 5707382. DOI: 10.1038/s41598-017-16639-0. View

18.

Yetkin F, Rosenberg R, Weiner M, Purdy P, Cullum C . FMRI of working memory in patients with mild cognitive impairment and probable Alzheimer's disease. Eur Radiol. 2006; 16(1):193-206. DOI: 10.1007/s00330-005-2794-x. View

19.

Tak S, Ye J . Statistical analysis of fNIRS data: a comprehensive review. Neuroimage. 2013; 85 Pt 1:72-91. DOI: 10.1016/j.neuroimage.2013.06.016. View

20.

Bonanni L, Moretti D, Benussi A, Ferri L, Russo M, Carrarini C . Hyperconnectivity in Dementia Is Early and Focal and Wanes with Progression. Cereb Cortex. 2020; 31(1):97-105. DOI: 10.1093/cercor/bhaa209. View