Predicting regional neurodegeneration from the healthy brain functional connectome.
By Juan Zhou, Efstathios D. Gennatas, Joel H. Kramer, Bruce L. Miller, William W. Seeley. Neuron, 2012
693 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/cc8839995d525a0852abc1857101ab21bbfd9284
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Olaf Sporns
- D. Bassett
- E. Bullmore
- Andrew Zalesky
- Alex Fornito
- Michael Breakspear
- Chad Giusti
- Yong He
In Radiology, Nuclear Medicine and Imaging
- Olaf Sporns
- D. Bassett
- E. Bullmore
- Alex Fornito
- Andrew Zalesky
- Michael Breakspear
- Chad Giusti
- John D. Medaglia
Citations in the corpus
- Graph analysis of the human connectome: Promise, progress, and pitfalls (2013, positive): “In a separate experiment graph theoretic measures were used to disambiguate competing models of disease progression in neurodegenerative disease (Zhou et al., 2012).”
- Distinct tau prion strains propagate in cells and mice and define different tauopathies (2014, background): “These results agree with previous work suggesting that seeded intracellular amyloids spread along discrete neural networks (de Calignon et al., 2012; Iba et al., 2013; Liu et al., 2012; Luk et al., 2012; Zhou et al., 2012).”
- Heparan sulfate proteoglycans mediate internalization and propagation of specific proteopathic seeds (2013, background): “(2007) beta-Sheet structured beta-amyloid(1-40) perturbs phosphatidylcholine model membranes.”
- Cognitive Network Neuroscience (2015, background): “, 2010), disease progression (Raj et al., 2012; Zhou et al., 2012), and potential receptivity for neurorehabilitation efforts (Bassett et al.”
- Two’s company, three (or more) is a simplex (2016, background): “Interestingly, this type of filtration is also a nat-ural way in which to probe and reason about models of neurodegenerative disease such as the recently posited diffusion model of fronto-temporal dementia (Raj et al, 2012; Zhou et al, 2012).”
- The Salience Network: A Neural System for Perceiving and Responding to Homeostatic Demands (2019, background): “Later work revealed that a region’s connectivity to a likely region-of-onset, or “epicenter,” was a strong predictor of that region’s vulnerability to disease, suggesting that trans-synaptic spreading may account, at least in part, for the network-based atrophy observed (Zhou et al., 2012).”
- The hubs of the human connectome are generally implicated in the anatomy of brain disorders (2014, background): “As most studies have focused on neurodegenerative disorders, a number of disease-specific mechanisms have been proposed to account for the observed relationships between neuropathology and brain network organization (Zhou et al., 2012).”
- Tau PET patterns mirror clinical and neuroanatomical variability in Alzheimer's disease. (2016, background): “Similarly, the bilateral (18)F-AV1451 pattern associated with worse language performance could be associated with transneuronal spread of tau (Clavaguera et al., 2009; de Calignon et al., 2012; Raj et al., 2012; Zhou et al., 2012) from left hemisphere to right, or with a selective vulnerability of l”
- TRIPLE REPRESENTATION OF LANGUAGE, WORKING MEMORY, SOCIAL AND EMOTION PROCESSING IN THE CEREBELLUM: CONVERGENT EVIDENCE FROM TASK AND SEED-BASED RESTING-STATE FMRI ANALYSES IN A SINGLE LARGE COHORT (2018, background): “, 2009), topography of neural degeneration in several diseases seems to follow connectional pathways (Seeley et al., 2009; Zhou et al., 2012; La Joie et al., 2014; Collins et al., 2017), and some resting-state functional networks represent structural connectivity (Greicius et al.”
- Abnormal intrinsic brain functional network dynamics in Parkinson’s disease (2017, background): “Taken together, these observations seem to confirm the vulnerability of resting state networks in neurodegenerative conditions (Seeley et al., 2009; Zhou et al., 2012).”
- Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation (2020, positive): “Zhou et al. predicted the pathological changes of AD by using the calculation model of resting brain function network and studied five different brain regions vulnerable to neurodegenerative diseases through the use of task state fMRI [106] .”