Literature DB >> 28958179

Network Disruption in the Preclinical Stages of Alzheimer's Disease: From Subjective Cognitive Decline to Mild Cognitive Impairment.

David López-Sanz1,2, Pilar Garcés3, Blanca Álvarez4, María Luisa Delgado-Losada2, Ramón López-Higes2, Fernando Maestú1,2.   

Abstract

INTRODUCTION: Subjective Cognitive Decline (SCD) is a largely unknown state thought to represent a preclinical stage of Alzheimer's Disease (AD) previous to mild cognitive impairment (MCI). However, the course of network disruption in these stages is scarcely characterized.
METHODS: We employed resting state magnetoencephalography in the source space to calculate network smallworldness, clustering, modularity and transitivity. Nodal measures (clustering and node degree) as well as modular partitions were compared between groups.
RESULTS: The MCI group exhibited decreased smallworldness, clustering and transitivity and increased modularity in theta and beta bands. SCD showed similar but smaller changes in clustering and transitivity, while exhibiting alterations in the alpha band in opposite direction to those showed by MCI for modularity and transitivity. At the node level, MCI disrupted both clustering and nodal degree while SCD showed minor changes in the latter. Additionally, we observed an increase in modular partition variability in both SCD and MCI in theta and beta bands.
CONCLUSION: SCD elders exhibit a significant network disruption, showing intermediate values between HC and MCI groups in multiple parameters. These results highlight the relevance of cognitive concerns in the clinical setting and suggest that network disorganization in AD could start in the preclinical stages before the onset of cognitive symptoms.

Entities:  

Keywords:  Alzheimer’s disease; magnetoencephalography; mild cognitive impairment; network; subjective cognitive decline

Mesh:

Year:  2017        PMID: 28958179     DOI: 10.1142/S0129065717500411

Source DB:  PubMed          Journal:  Int J Neural Syst        ISSN: 0129-0657            Impact factor:   5.866


  16 in total

1.  Neuropsychiatric Symptoms and Risk Factors in Mild Cognitive Impairment: A Cohort Investigation of Elderly Patients.

Authors:  A-N Yang; X-L Wang; H-R Rui; H Luo; M Pang; X-M Dou
Journal:  J Nutr Health Aging       Date:  2020       Impact factor: 4.075

2.  A Novel Wavelet Transform-Homogeneity Model for Sudden Cardiac Death Prediction Using ECG Signals.

Authors:  Juan P Amezquita-Sanchez; Martin Valtierra-Rodriguez; Hojjat Adeli; Carlos A Perez-Ramirez
Journal:  J Med Syst       Date:  2018-08-16       Impact factor: 4.460

3.  Diffusion tensor imaging reveals abnormal brain networks in elderly subjects with subjective cognitive deficits.

Authors:  Daegyeom Kim; Suji Lee; Myungwon Choi; HyunChul Youn; Sangil Suh; Hyun-Ghang Jeong; Cheol E Han
Journal:  Neurol Sci       Date:  2019-06-26       Impact factor: 3.307

4.  Aberrant topological organization and age-related differences in the human connectome in subjective cognitive decline by using regional morphology from magnetic resonance imaging.

Authors:  Zhenrong Fu; Mingyan Zhao; Yirong He; Xuetong Wang; Xin Li; Guixia Kang; Ying Han; Shuyu Li
Journal:  Brain Struct Funct       Date:  2022-05-17       Impact factor: 3.270

5.  A Graph Gaussian Embedding Method for Predicting Alzheimer's Disease Progression With MEG Brain Networks.

Authors:  Mengjia Xu; David Lopez Sanz; Pilar Garces; Fernando Maestu; Quanzheng Li; Dimitrios Pantazis
Journal:  IEEE Trans Biomed Eng       Date:  2021-04-21       Impact factor: 4.538

Review 6.  The Role of Magnetoencephalography in the Early Stages of Alzheimer's Disease.

Authors:  David López-Sanz; Noelia Serrano; Fernando Maestú
Journal:  Front Neurosci       Date:  2018-08-15       Impact factor: 4.677

7.  Resting state network modularity along the prodromal late onset Alzheimer's disease continuum.

Authors:  Joey A Contreras; Andrea Avena-Koenigsberger; Shannon L Risacher; John D West; Eileen Tallman; Brenna C McDonald; Martin R Farlow; Liana G Apostolova; Joaquín Goñi; Mario Dzemidzic; Yu-Chien Wu; Daniel Kessler; Lucas Jeub; Santo Fortunato; Andrew J Saykin; Olaf Sporns
Journal:  Neuroimage Clin       Date:  2019-01-22       Impact factor: 4.881

8.  The relationship between physical activity, apolipoprotein E ε4 carriage, and brain health.

Authors:  Jaisalmer de Frutos-Lucas; Pablo Cuesta; David López-Sanz; África Peral-Suárez; Esther Cuadrado-Soto; Federico Ramírez-Toraño; Belinda M Brown; Juan M Serrano; Simon M Laws; Inmaculada C Rodríguez-Rojo; Juan Verdejo-Román; Ricardo Bruña; Maria L Delgado-Losada; Ana Barabash; Ana M López-Sobaler; Ramón López-Higes; Alberto Marcos; Fernando Maestú
Journal:  Alzheimers Res Ther       Date:  2020-04-24       Impact factor: 6.982

9.  Tau pathology in early Alzheimer's disease is linked to selective disruptions in neurophysiological network dynamics.

Authors:  Ece Kocagoncu; Andrew Quinn; Azadeh Firouzian; Elisa Cooper; Andrea Greve; Roger Gunn; Gary Green; Mark W Woolrich; Richard N Henson; Simon Lovestone; James B Rowe
Journal:  Neurobiol Aging       Date:  2020-03-17       Impact factor: 4.673

Review 10.  Functional neuroimaging in subjective cognitive decline: current status and a research path forward.

Authors:  Raymond P Viviano; Jessica S Damoiseaux
Journal:  Alzheimers Res Ther       Date:  2020-03-09       Impact factor: 6.982

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