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Current Alzheimer Research

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ISSN (Print): 1567-2050
ISSN (Online): 1875-5828

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Research Article

Disrupted White Matter Networks from Subjective Memory Impairment to Amnestic Mild Cognitive Impairment

Author(s): Wen Shao, Xuwen He, Xin Li, Wuhai Tao, Junying Zhang, Shujuan Zhang, Lei Wang, Yanan Qiao, Yu Wang, Zhanjun Zhang* and Dantao Peng*

Volume 18, Issue 1, 2021

Published on: 24 March, 2021

Page: [35 - 44] Pages: 10

DOI: 10.2174/1567205018666210324115817

Price: $65

Abstract

Background and Objective: Subjective memory impairment (SMI) is a preclinical stage prior to amnestic mild cognitive impairment (aMCI) along with the Alzheimer’s disease (AD) continuum. We hypothesized that SMI patients had white matter (WM) network disruptions similar to those in aMCI patients.

Methods: We used diffusion-tensor magnetic resonance imaging and graph theory to construct, analyze, and compare the WM networks among 20 normal controls (NC), 20 SMI patients, and 20 aMCI patients.

Results: Compared with the NC group, the SMI group had significantly decreased global and local efficiency and an increased shortest path length. Moreover, similar to the aMCI group, the SMI group had lower nodal efficiency in regions located in the frontal and parietal lobes, limbic systems, and caudate nucleus compared to that of the NC group.

Conclusion: Similar to aMCI patient, SMI patients exhibited WM network disruptions, and detection of these disruptions could facilitate the early detection of SMI.

Keywords: Subjective memory impairment, Alzheimer's disease, mild cognitive impairment, amnestic mild cognitive impairment, white matter, network.

« Previous Next »
[1]
Jack CR Jr, Knopman DS, Jagust WJ, et al. Hypothetical model of dynamic biomarkers of the Alzheimer’s pathological cascade. Lancet Neurol 2010; 9(1): 119-28.
[http://dx.doi.org/10.1016/S1474-4422(09)70299-6] [PMID: 20083042]
[2]
Ward A, Tardiff S, Dye C, Arrighi HM. Rate of conversion from prodromal Alzheimer’s disease to Alzheimer’s dementia: A systematic review of the literature. Dement Geriatr Cogn Disord Extra 2013; 3(1): 320-32.
[http://dx.doi.org/10.1159/000354370] [PMID: 24174927]
[3]
Jessen F, Wiese B, Bachmann C, et al. Prediction of dementia by subjective memory impairment: Effects of severity and temporal association with cognitive impairment. Arch Gen Psychiatry 2010; 67(4): 414-22.
[http://dx.doi.org/10.1001/archgenpsychiatry.2010.30] [PMID: 20368517]
[4]
Reisberg B, Shulman MB, Torossian C, Leng L, Zhu W. Outcome over seven years of healthy adults with and without subjective cognitive impairment. Alzheimers Dement 2010; 6(1): 11-24.
[http://dx.doi.org/10.1016/j.jalz.2009.10.002] [PMID: 20129317]
[5]
Rönnlund M, Sundström A, Adolfsson R, Nilsson LG. Subjective memory impairment in older adults predicts future dementia independent of baseline memory performance: Evidence from the Betula prospective cohort study. Alzheimers Dement 2015; 11(11): 1385-92.
[http://dx.doi.org/10.1016/j.jalz.2014.11.006] [PMID: 25667997]
[6]
Vannini P, Hanseeuw B, Munro CE, et al. Hippocampal hypometabolism in older adults with memory complaints and increased amyloid burden. Neurology 2017; 88(18): 1759-67.
[http://dx.doi.org/10.1212/WNL.0000000000003889] [PMID: 28381517]
[7]
Jessen F, Feyen L, Freymann K, et al. Volume reduction of the entorhinal cortex in subjective memory impairment. Neurobiol Aging 2006; 27(12): 1751-6.
[http://dx.doi.org/10.1016/j.neurobiolaging.2005.10.010] [PMID: 16309795]
[8]
Erk S, Spottke A, Meisen A, Wagner M, Walter H, Jessen F. Evidence of neuronal compensation during episodic memory in subjective memory impairment. Arch Gen Psychiatry 2011; 68(8): 845-52.
[http://dx.doi.org/10.1001/archgenpsychiatry.2011.80] [PMID: 21810648]
[9]
Rodda J, Dannhauser T, Cutinha DJ, Shergill SS, Walker Z. Subjective cognitive impairment: Functional MRI during a divided attention task. European psychiatry: J Assoc Eur Psychiatrists 2011; 26(7): 457-62.
[http://dx.doi.org/10.1016/j.eurpsy.2010.07.003]
[10]
Sun Y, Dai Z, Li Y, et al. Subjective cognitive decline: Mapping functional and structural brain changes-A combined resting-state functional and structural MR imaging study. Radiology 2016; 281(1): 185-92.
[http://dx.doi.org/10.1148/radiol.2016151771] [PMID: 27002419]
[11]
Peter J, Scheef L, Abdulkadir A, et al. Gray matter atrophy pattern in elderly with subjective memory impairment. Alzheimers Dement 2014; 10(1): 99-108.
[http://dx.doi.org/10.1016/j.jalz.2013.05.1764] [PMID: 23867795]
[12]
Scheef L, Spottke A, Daerr M, et al. Glucose metabolism, gray matter structure, and memory decline in subjective memory impairment. Neurology 2012; 79(13): 1332-9.
[http://dx.doi.org/10.1212/WNL.0b013e31826c1a8d] [PMID: 22914828]
[13]
Delbeuck X, Van der Linden M, Collette F. Alzheimer’s disease as a disconnection syndrome? Neuropsychol Rev 2003; 13(2): 79-92.
[http://dx.doi.org/10.1023/A:1023832305702] [PMID: 12887040]
[14]
Reid AT, Evans AC. Structural networks in Alzheimer's disease. Eur Neuropsychopharmacol 2013; 23(1): 63-77.
[http://dx.doi.org/10.1016/j.euroneuro.2012.11.010]
[15]
Bartzokis G, Sultzer D, Lu PH, Nuechterlein KH, Mintz J, Cummings JL. Heterogeneous age-related breakdown of white matter structural integrity: Implications for cortical “disconnection” in aging and Alzheimer’s disease. Neurobiol Aging 2004; 25(7): 843-51.
[http://dx.doi.org/10.1016/j.neurobiolaging.2003.09.005] [PMID: 15212838]
[16]
Moseley M. Diffusion tensor imaging and aging - a review. NMR Biomed 2002; 15(7-8): 553-60.
[http://dx.doi.org/10.1002/nbm.785] [PMID: 12489101]
[17]
Peters A. The effects of normal aging on myelin and nerve fibers: A review. J Neurocytol 2002; 31(8-9): 581-93.
[http://dx.doi.org/10.1023/A:1025731309829] [PMID: 14501200]
[18]
Bullmore E, Sporns O. Complex brain networks: Graph theoretical analysis of structural and functional systems. Nat Rev Neurosci 2009; 10(3): 186-98.
[http://dx.doi.org/10.1038/nrn2575] [PMID: 19190637]
[19]
Daianu M, Jahanshad N, Nir TM, et al. Breakdown of brain connectivity between normal aging and Alzheimer’s disease: A structural k-core network analysis. Brain Connect 2013; 3(4): 407-22.
[http://dx.doi.org/10.1089/brain.2012.0137] [PMID: 23701292]
[20]
Lo CY, Wang PN, Chou KH, Wang J, He Y, Lin CP. Diffusion tensor tractography reveals abnormal topological organization in structural cortical networks in Alzheimer’s disease. J Neurosci 2010; 30(50): 16876-85.
[http://dx.doi.org/10.1523/JNEUROSCI.4136-10.2010] [PMID: 21159959]
[21]
Daianu M, Jahanshad N, Nir TM, et al. Rich club analysis in the Alzheimer’s disease connectome reveals a relatively undisturbed structural core network. Hum Brain Mapp 2015; 36(8): 3087-103.
[http://dx.doi.org/10.1002/hbm.22830] [PMID: 26037224]
[22]
Bai F, Shu N, Yuan Y, et al. Topologically convergent and divergent structural connectivity patterns between patients with remitted geriatric depression and amnestic mild cognitive impairment. J Neurosci 2012; 32(12): 4307-18.
[http://dx.doi.org/10.1523/JNEUROSCI.5061-11.2012] [PMID: 22442092]
[23]
Lee SH, Seo J, Lee JM, Park H. Differences in early and late mild cognitive impairment tractography using a diffusion tensor MRI. Neuroreport 2014; 25(17): 1393-8.
[http://dx.doi.org/10.1097/WNR.0000000000000279] [PMID: 25325351]
[24]
Fischer FU, Wolf D, Scheurich A, Fellgiebel A. Altered whole-brain white matter networks in preclinical Alzheimer’s disease. Neuroimage Clin 2015; 8: 660-6.
[http://dx.doi.org/10.1016/j.nicl.2015.06.007] [PMID: 26288751]
[25]
Petersen RC. Mild cognitive impairment as a diagnostic entity. J Intern Med 2004; 256(3): 183-94.
[http://dx.doi.org/10.1111/j.1365-2796.2004.01388.x] [PMID: 15324362]
[26]
Fazekas F, Niederkorn K, Schmidt R, et al. White matter signal abnormalities in normal individuals: correlation with carotid ultrasonography, cerebral blood flow measurements, and cerebrovascular risk factors. Stroke 1988; 19(10): 1285-8.
[http://dx.doi.org/10.1161/01.STR.19.10.1285] [PMID: 3051534]
[27]
Cui Z, Zhong S, Xu P, He Y, Gong G. PANDA: A pipeline toolbox for analyzing brain diffusion images. Front Hum Neurosci 2013; 7: 42.
[http://dx.doi.org/10.3389/fnhum.2013.00042] [PMID: 23439846]
[28]
Mori S, Crain BJ, Chacko VP, van Zijl PC. Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging. Ann Neurol 1999; 45(2): 265-9.
[http://dx.doi.org/10.1002/1531-8249(199902)45:2<265::AID-ANA21>3.0.CO;2-3] [PMID: 9989633]
[29]
Shu N, Liang Y, Li H, et al. Disrupted topological organization in white matter structural networks in amnestic mild cognitive impairment: Relationship to subtype. Radiology 2012; 265(2): 518-27.
[http://dx.doi.org/10.1148/radiol.12112361] [PMID: 22984189]
[30]
Gong G, He Y, Concha L, Lebel C, Gross DW, Evans AC, et al. Mapping anatomical connectivity patterns of human cerebral cortex using in vivo diffusion tensor imaging tractography. Cerebral cortex (New York, NY: 1991) 2009; 19(3): 524-36.
[http://dx.doi.org/10.1093/cercor/bhn102]
[31]
Zhao T, Sheng C, Bi Q, Niu W, Shu N, Han Y. Age-related differences in the topological efficiency of the brain structural connectome in amnestic mild cognitive impairment. Neurobiol Aging 2017; 59: 144-55.
[http://dx.doi.org/10.1016/j.neurobiolaging.2017.08.005] [PMID: 28882420]
[32]
Fang R, Yan XX, Wu ZY, et al. Disrupted structural brain network in AD and aMCI: A finding of long fiber degeneration. Curr Alzheimer Res 2015; 12(6): 572-84.
[http://dx.doi.org/10.2174/1567205012666150530201349] [PMID: 26027816]
[33]
Shu N, Wang X, Bi Q, Zhao T, Han Y. Disrupted topologic efficiency of white matter structural connectome in individuals with subjective cognitive decline. Radiology 2018; 286(1): 229-38.
[http://dx.doi.org/10.1148/radiol.2017162696] [PMID: 28799862]
[34]
Rabin LA, Smart CM, Amariglio RE. Subjective cognitive decline in preclinical Alzheimer’s disease. Annu Rev Clin Psychol 2017; 13: 369-96.
[http://dx.doi.org/10.1146/annurev-clinpsy-032816-045136] [PMID: 28482688]
[35]
Amariglio RE, Becker JA, Carmasin J, et al. Subjective cognitive complaints and amyloid burden in cognitively normal older individuals. Neuropsychologia 2012; 50(12): 2880-6.
[http://dx.doi.org/10.1016/j.neuropsychologia.2012.08.011] [PMID: 22940426]
[36]
Guo Z, Liu X, Hou H, et al. (1)H-MRS asymmetry changes in the anterior and posterior cingulate gyrus in patients with mild cognitive impairment and mild Alzheimer’s disease. Compr Psychiatry 2016; 69: 179-85.
[http://dx.doi.org/10.1016/j.comppsych.2016.06.001] [PMID: 27423359]
[37]
Spampinato MV, Rumboldt Z, Hosker RJ, Mintzer JE. Apolipoprotein E and gray matter volume loss in patients with mild cognitive impairment and Alzheimer disease. Radiology 2011; 258(3): 843-52.
[http://dx.doi.org/10.1148/radiol.10100307] [PMID: 21163916]
[38]
Lim TS, Hong YH, Lee HY, Choi JY, Kim HS, Moon SY. Metabolite investigation in both anterior and posterior cingulate gyri in Alzheimer’s disease spectrum using 3-tesla MR spectroscopy. Dement Geriatr Cogn Disord 2012; 33(2-3): 149-55.
[http://dx.doi.org/10.1159/000338177] [PMID: 22722669]
[39]
Amanzio M, Torta DM, Sacco K, et al. Unawareness of deficits in Alzheimer’s disease: Role of the cingulate cortex. Brain 2011; 134(Pt 4): 1061-76.
[http://dx.doi.org/10.1093/brain/awr020] [PMID: 21385751]
[40]
Gasquoine PG. Localization of function in anterior cingulate cortex: From psychosurgery to functional neuroimaging. Neurosci Biobehav Rev 2013; 37(3): 340-8.
[http://dx.doi.org/10.1016/j.neubiorev.2013.01.002] [PMID: 23313645]
[41]
Duncan J, Owen AM. Common regions of the human frontal lobe recruited by diverse cognitive demands. Trends Neurosci 2000; 23(10): 475-83.
[http://dx.doi.org/10.1016/S0166-2236(00)01633-7] [PMID: 11006464]
[42]
Madsen SK, Ho AJ, Hua X, et al. 3D maps localize caudate nucleus atrophy in 400 Alzheimer’s disease, mild cognitive impairment, and healthy elderly subjects. Neurobiol Aging 2010; 31(8): 1312-25.
[http://dx.doi.org/10.1016/j.neurobiolaging.2010.05.002] [PMID: 20538376]
[43]
Skup M, Zhu H, Wang Y, et al. Sex differences in grey matter atrophy patterns among AD and aMCI patients: Results from ADNI. Neuroimage 2011; 56(3): 890-906.
[http://dx.doi.org/10.1016/j.neuroimage.2011.02.060] [PMID: 21356315]
[44]
Chua TC, Wen W, Slavin MJ, Sachdev PS. Diffusion tensor imaging in mild cognitive impairment and Alzheimer’s disease: A review. Curr Opin Neurol 2008; 21(1): 83-92.
[http://dx.doi.org/10.1097/WCO.0b013e3282f4594b] [PMID: 18180656]
[45]
Dubois B, Feldman HH, Jacova C, et al. Research criteria for the diagnosis of Alzheimer’s disease: Revising the NINCDS-ADRDA criteria. Lancet Neurol 2007; 6(8): 734-46.
[http://dx.doi.org/10.1016/S1474-4422(07)70178-3] [PMID: 17616482]
[46]
Tromp D, Dufour A, Lithfous S, Pebayle T, Despres O. Episodic memory in normal aging and Alzheimer disease: Insights from imaging and behavioral studies. Ageing Res Rev 2015; 24(Pt B): 232-62.

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