Structural Interactions within the Default Mode Network Identified by Bayesian Network Analysis in Alzheimer’s Disease

Neuroimaging insights into network-based neurodegeneration

(2012) Michael D. Greicius et al.   CURRENT OPINION IN NEUROLOGY

Gray matter network associated with risk for Alzheimer's disease in young to middle-aged adults

(2012) Gene E. Alexander et al.   NEUROBIOLOGY OF AGING

Mapping joint grey and white matter reductions in Alzheimer's disease using joint independent component analysis

(2012) Xiaojuan Guo et al.   NEUROSCIENCE LETTERS

Is the subcallosal medial prefrontal cortex a common site of atrophy in Alzheimer's disease and frontotemporal lobar degeneration?

(2012) Olof Lindberg et al.   Frontiers in Aging Neuroscience

The human connectome: a complex network

(2011) Olaf Sporns   Annals of the New York Academy of Sciences

Altered default mode network connectivity in alzheimer's disease-A resting functional MRI and bayesian network study

(2011) Xia Wu et al.   HUMAN BRAIN MAPPING

Dynamic Bayesian network modeling for longitudinal brain morphometry

(2011) Rong Chen et al.   NEUROIMAGE

Parietal cortex matters in Alzheimer's disease: An overview of structural, functional and metabolic findings

(2011) Heidi I.L. Jacobs et al.   NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

Understanding complexity in the human brain

(2011) Danielle S. Bassett et al.   TRENDS IN COGNITIVE SCIENCES

Diffusion Tensor Tractography Reveals Abnormal Topological Organization in Structural Cortical Networks in Alzheimer's Disease

(2010) C.-Y. Lo et al.   JOURNAL OF NEUROSCIENCE

Development of functional and structural connectivity within the default mode network in young children

(2010) Kaustubh Supekar et al.   NEUROIMAGE

Automatic classification of patients with Alzheimer's disease from structural MRI: A comparison of ten methods using the ADNI database

(2010) Rémi Cuingnet et al.   NEUROIMAGE

Network-level structural covariance in the developing brain

(2010) B. A. Zielinski et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Role of structural MRI in Alzheimer's disease

(2010) Prashanthi Vemuri et al.   Alzheimers Research & Therapy

Greater than the sum of its parts: a review of studies combining structural connectivity and resting-state functional connectivity

(2009) Jessica S. Damoiseaux et al.   Brain Structure & Function

Adaptive non-local means denoising of MR images with spatially varying noise levels

(2009) José V. Manjón et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Complex brain networks: graph theoretical analysis of structural and functional systems

(2009) Ed Bullmore et al.   NATURE REVIEWS NEUROSCIENCE

Neurodegenerative Diseases Target Large-Scale Human Brain Networks

(2009) William W. Seeley et al.   NEURON

Neuronal Networks in Alzheimer's Disease

(2009) Yong He et al.   NEUROSCIENTIST

Principal component analysis in mild and moderate Alzheimer's disease — A novel approach to clinical diagnosis

(2009) Marco Pagani et al.   PSYCHIATRY RESEARCH-NEUROIMAGING

Resting-State Functional Connectivity Reflects Structural Connectivity in the Default Mode Network

(2008) M. D. Greicius et al.   CEREBRAL CORTEX

Mapping Anatomical Connectivity Patterns of Human Cerebral Cortex Using In Vivo Diffusion Tensor Imaging Tractography

(2008) Gaolang Gong et al.   CEREBRAL CORTEX

The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods

(2008) Clifford R. Jack et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Structural Insights into Aberrant Topological Patterns of Large-Scale Cortical Networks in Alzheimer's Disease

(2008) Y. He et al.   JOURNAL OF NEUROSCIENCE

White matter atrophy and lesion formation explain the loss of structural integrity of white matter in aging

(2008) M.W. Vernooij et al.   NEUROIMAGE

Regional white matter volume differences in nondemented aging and Alzheimer's disease

(2008) D SALAT et al.   NEUROIMAGE

The maturing architecture of the brain's default network

(2008) D. A. Fair et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA