Aberrant MEG multi-frequency phase temporal synchronization predicts conversion from mild cognitive impairment-to-Alzheimer's disease

Aberrant MEG multi-frequency phase temporal synchronization predicts conversion from mild cognitive impairment-to-Alzheimer's disease

Many neuroimaging studies focus on a frequency-specific or a multi-frequency network analysis showing that functional brain networks are disrupted in patients with Alzheimer's disease (AD). Although those studies enriched our knowledge of the impact of AD in brain's functionality, our goal...

Full description

Bibliographic Details
Main Authors:	Sandra Pusil, Stavros I. Dimitriadis, María Eugenia López, Ernesto Pereda, Fernando Maestú
Format:	Article
Language:	English
Published:	Elsevier 2019-01-01
Series:	NeuroImage: Clinical
Online Access:	http://www.sciencedirect.com/science/article/pii/S2213158219303225

Similar Items

How to Build a Functional Connectomic Biomarker for Mild Cognitive Impairment From Source Reconstructed MEG Resting-State Activity: The Combination of ROI Representation and Connectivity Estimator Matters
by: Stavros I. Dimitriadis, et al.
Published: (2018-06-01)

Altered Rich-Club and Frequency-Dependent Subnetwork Organization in Mild Traumatic Brain Injury: A MEG Resting-State Study
by: Marios Antonakakis, et al.
Published: (2017-08-01)

MEG Beamformer-Based Reconstructions of Functional Networks in Mild Cognitive Impairment
by: Maria E. López, et al.
Published: (2017-04-01)

The effects of white matter hyperintensities on MEG power spectra in population with mild cognitive impairment
by: Lucia Torres-Simon, et al.
Published: (2023-02-01)

Guiding functional connectivity estimation by structural connectivity in MEG: an application to discrimination of conditions of mild cognitive impairment.
by: Pineda-Pardo, J, et al.
Published: (2014)

Guiding functional connectivity estimation by structural connectivity in MEG: An application to discrimination of conditions of mild cognitive impairment
by: Pineda-Pardo, J, et al.
Published: (2014)

Toward a more comprehensive understanding of network centrality disruption in amnestic mild cognitive impairment: a MEG multilayer approach
by: Ignacio Taguas, et al.
Published: (2024-10-01)

Complexity Analysis of EEG, MEG, and fMRI in Mild Cognitive Impairment and Alzheimer’s Disease: A Review
by: Jie Sun, et al.
Published: (2020-02-01)

Permutation Entropy and Statistical Complexity in Mild Cognitive Impairment and Alzheimer’s Disease: An Analysis Based on Frequency Bands
by: Ignacio Echegoyen, et al.
Published: (2020-01-01)

The Default Mode Network is functionally and structurally disrupted in amnestic mild cognitive impairment — A bimodal MEG–DTI study
by: Pilar Garcés, et al.
Published: (2014-01-01)

Predictive models for mild cognitive impairment to Alzheimer’s disease conversion
by: Konstantina Skolariki, et al.
Published: (2021-01-01)

Distinct profiles of functional connectivity density aberrance in Alzheimer's disease and mild cognitive impairment
by: Dawei Miao, et al.
Published: (2022-12-01)

Universal Lifespan Trajectories of Source-Space Information Flow Extracted from Resting-State MEG Data
by: Stavros I. Dimitriadis
Published: (2022-10-01)

Olfactory Measures as Predictors of Conversion to Mild Cognitive Impairment and Alzheimer’s Disease
by: Paul Loyd Wheeler, et al.
Published: (2021-10-01)

Neuroimage Biomarker Identification of the Conversion of Mild Cognitive Impairment to Alzheimer’s Disease
by: Te-Han Kung, et al.
Published: (2021-02-01)

Reliability of Static and Dynamic Network Metrics in the Resting-State: A MEG-Beamformed Connectivity Analysis
by: Stavros I. Dimitriadis, et al.
Published: (2018-08-01)

MEG activity of the dorsolateral prefrontal cortex during optic flow stimulations detects mild cognitive impairment due to Alzheimer's disease.
by: Moeko Noguchi-Shinohara, et al.
Published: (2021-01-01)

MEG activity of the dorsolateral prefrontal cortex during optic flow stimulations detects mild cognitive impairment due to Alzheimer’s disease
by: Moeko Noguchi-Shinohara, et al.
Published: (2021-01-01)

BrainAGE in Mild Cognitive Impaired Patients: Predicting the Conversion to Alzheimer's Disease.
by: Christian Gaser, et al.
Published: (2013-01-01)

Non‐Alzheimer's amnestic mild cognitive impairment with medial temporal hypometabolism
by: Sebastiaan De Keersmaecker, et al.
Published: (2024-10-01)

Detection of Mild Cognitive Impairment with MEG Functional Connectivity Using Wavelet-Based Neuromarkers
by: Su Yang, et al.
Published: (2021-09-01)

Increased prediction value of biomarker combinations for the conversion of mild cognitive impairment to Alzheimer’s dementia
by: Aonan Zhao, et al.
Published: (2020-08-01)

A Two-Stage Model for Predicting Mild Cognitive Impairment to Alzheimer’s Disease Conversion
by: Peixin Lu, et al.
Published: (2022-03-01)

Identification of conversion from mild cognitive impairment to Alzheimer's disease using multivariate predictors.
by: Yue Cui, et al.
Published: (2011-01-01)

MEG Frequency Analysis Depicts the Impaired Neurophysiological Condition of Ischemic Brain.
by: Shinichi Sakamoto, et al.
Published: (2016-01-01)

Altered oscillation and synchronization of default-mode network activity in mild Alzheimer's disease compared to mild cognitive impairment: an electrophysiological study.
by: Fu-Jung Hsiao, et al.
Published: (2013-01-01)

Understanding brain function in vascular cognitive impairment and dementia with EEG and MEG: A systematic review
by: Lucía Torres-Simón, et al.
Published: (2022-01-01)

NeuropsychBrainAge: A biomarker for conversion from mild cognitive impairment to Alzheimer's disease
by: Jorge Garcia Condado, et al.
Published: (2023-10-01)

Detecting conversion from mild cognitive impairment to Alzheimer’s disease using FLAIR MRI biomarkers
by: Owen Crystal, et al.
Published: (2023-01-01)

Soluble TREM2 levels associate with conversion from mild cognitive impairment to Alzheimer’s disease
by: Aonan Zhao, et al.
Published: (2022-12-01)

Predicting conversion to Alzheimer’s disease in individuals with Mild Cognitive Impairment using clinically transferable features
by: Ingrid Rye, et al.
Published: (2022-09-01)

Identification of mild cognitive impairment subtypes predicting conversion to Alzheimer’s disease using multimodal data
by: Masataka Kikuchi, et al.
Published: (2022-01-01)

Changes in white matter integrity before conversion from mild cognitive impairment to Alzheimer's disease.
by: Michaela Defrancesco, et al.
Published: (2014-01-01)

Hierarchical interactions model for predicting Mild Cognitive Impairment (MCI) to Alzheimer's Disease (AD) conversion.
by: Han Li, et al.
Published: (2014-01-01)

Predicting the Conversion from Mild Cognitive Impairment to Alzheimer’s Disease Using an Explainable AI Approach
by: Gerasimos Grammenos, et al.
Published: (2024-04-01)

Writing Impairments in Japanese Patients with Mild Cognitive Impairment and with Mild Alzheimer's Disease
by: Atsuko Hayashi, et al.
Published: (2015-09-01)

Spatial inhibition of return is impaired in mild cognitive impairment and mild Alzheimer's disease.
by: Xiong Jiang, et al.
Published: (2021-01-01)

Cognitive reserve is associated with the functional organization of brain in healthy aging: A MEG Study
by: Maria Eugenia eLopez, et al.
Published: (2014-06-01)

Abnormal Resting-State Functional Connectivity Strength in Mild Cognitive Impairment and Its Conversion to Alzheimer’s Disease
by: Yuxia Li, et al.
Published: (2016-01-01)

Predicting Longitudinal Cognitive Decline and Alzheimer’s Conversion in Mild Cognitive Impairment Patients Based on Plasma Biomarkers
by: Min-Koo Park, et al.
Published: (2024-06-01)