A Brainnetome Atlas Based Mild Cognitive Impairment Identification Using Hurst Exponent
出版年份 2018 全文链接
标题
A Brainnetome Atlas Based Mild Cognitive Impairment Identification Using Hurst Exponent
作者
关键词
-
出版物
Frontiers in Aging Neuroscience
Volume 10, Issue -, Pages -
出版商
Frontiers Media SA
发表日期
2018-04-10
DOI
10.3389/fnagi.2018.00103
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Identifying current and remitted major depressive disorder with the Hurst exponent: a comparative study on two automated anatomical labeling atlases
- (2017) Bin Jing et al. Oncotarget
- The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture
- (2016) Lingzhong Fan et al. CEREBRAL CORTEX
- Feature-ranking-based Alzheimer’s disease classification from structural MRI
- (2016) Iman Beheshti et al. MAGNETIC RESONANCE IMAGING
- A support vector machine-based method to identify mild cognitive impairment with multi-level characteristics of magnetic resonance imaging
- (2016) Zhuqing Long et al. NEUROSCIENCE
- Application of advanced machine learning methods on resting-state fMRI network for identification of mild cognitive impairment and Alzheimer’s disease
- (2015) Ali Khazaee et al. Brain Imaging and Behavior
- Multimodal analysis of functional and structural disconnection in Alzheimer's disease using multiple kernel SVM
- (2015) Martin Dyrba et al. HUMAN BRAIN MAPPING
- Proneness to social anxiety modulates neural complexity in the absence of exposure: A resting state fMRI study using Hurst exponent
- (2015) Claudio Gentili et al. PSYCHIATRY RESEARCH-NEUROIMAGING
- Using Regional Homogeneity to Reveal Altered Spontaneous Activity in Patients with Mild Cognitive Impairment
- (2015) Yumei Wang et al. Biomed Research International
- Functional connectivity and graph theory in preclinical Alzheimer's disease
- (2013) Matthew R. Brier et al. NEUROBIOLOGY OF AGING
- Extraversion is encoded by scale-free dynamics of default mode network
- (2013) Xu Lei et al. NEUROIMAGE
- Identifying major depressive disorder using Hurst exponent of resting-state brain networks
- (2013) Maobin Wei et al. PSYCHIATRY RESEARCH-NEUROIMAGING
- Abnormal insula functional network is associated with episodic memory decline in amnestic mild cognitive impairment
- (2012) Chunming Xie et al. NEUROIMAGE
- Altered default-mode network activation in mild cognitive impairment compared with healthy aging
- (2012) Frederick De Vogelaere et al. NEURORADIOLOGY
- Scale-free and multifractal time dynamics of fMRI signals during rest and task
- (2012) P Ciuciu Frontiers in Physiology
- Altered spontaneous activity in Alzheimer's disease and mild cognitive impairment revealed by Regional Homogeneity
- (2011) Zengqiang Zhang et al. NEUROIMAGE
- Discriminative analysis of early Alzheimer's disease using multi-modal imaging and multi-level characterization with multi-classifier (M3)
- (2011) Zhengjia Dai et al. NEUROIMAGE
- Classification of Alzheimer Disease, Mild Cognitive Impairment, and Normal Cognitive Status with Large-Scale Network Analysis Based on Resting-State Functional MR Imaging
- (2011) Gang Chen et al. RADIOLOGY
- A Shift to Randomness of Brain Oscillations in People with Autism
- (2010) Meng-Chuan Lai et al. BIOLOGICAL PSYCHIATRY
- What can spontaneous fluctuations of the blood oxygenation-level-dependent signal tell us about psychiatric disorders?
- (2010) Alex Fornito et al. CURRENT OPINION IN PSYCHIATRY
- Frequency-dependent changes in the amplitude of low-frequency fluctuations in amnestic mild cognitive impairment: A resting-state fMRI study
- (2010) Ying Han et al. NEUROIMAGE
- Prediction of Individual Brain Maturity Using fMRI
- (2010) Nico U. F. Dosenbach et al. SCIENCE
- Automated MRI measures identify individuals with mild cognitive impairment and Alzheimer's disease
- (2009) R. S. Desikan et al. BRAIN
- The dynamics of EEG entropy
- (2009) Massimiliano Ignaccolo et al. JOURNAL OF BIOLOGICAL PHYSICS
- Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns
- (2008) Federico De Martino et al. NEUROIMAGE
- Machine learning classifiers and fMRI: A tutorial overview
- (2008) Francisco Pereira et al. NEUROIMAGE
- Support vector machine-based classification of Alzheimer’s disease from whole-brain anatomical MRI
- (2008) Benoît Magnin et al. NEURORADIOLOGY
- Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging
- (2006) Christos Davatzikos et al. NEUROBIOLOGY OF AGING
- Automated cortical thickness measurements from MRI can accurately separate Alzheimer's patients from normal elderly controls
- (2006) Jason P. Lerch et al. NEUROBIOLOGY OF AGING
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search