Default-mode network activity distinguishes Alzheimer's disease from healthy aging: Evidence from functional MRI

By Michael D. Greicius, G. Srivastava, Allan L. Reiss, Vinod Menon. Proc. Natl. Acad. Sci. USA, 2004

3,745 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/f8d71b849b3d80d1226236a82df46d765a664e36

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Citations in the corpus

Brain Connectivity Related to Working Memory Performance (2006, background): “Interestingly, a previous study found weaker connectivity in the “default mode” network of subjects with Alzheimer's disease relative to healthy older subjects (Grecius et al., 2004).”
Early remodeling of the neocortex upon episodic memory encoding (2014, background): “In support of this view, human neuroimaging data suggest that functional connectivity between the prefrontal cortex, entorhinal cortex, and hippocampus is substantially decreased in the AD-affected brain (51).”
Modulation of temporally coherent brain networks estimated using ICA at rest and during cognitive tasks (2008, neutral): “…provide evidence that when using TCNs to study a patient group, an approach which is becoming widely used [Bluhm et al., 2007; Garrity et al., 2007; Greicius et al., 2004; Kiviniemi et al., 2000; Malaspina et al., Results from the spatial cross-correlation of the TCNs for auditory oddball and…”
Que PASA? The posterior-anterior shift in aging. (2008, background): “…with deactivations in posterior midline cortex (Daselaar et al. 2004), and failure to deactivate this region has been associated with memory deﬁcits in healthy aging and Alzheimer’s disease (Daselaar et al. 2003; Lustig et al. 2003; Greicius et al. 2004; Celone et al. 2006; Grady et al. 2006).”
Alteration of Brain Default Network in Subacute Phase of Injury in Concussed Individuals: Resting-state fMRI study (2011, positive): “Previous functional connectivity research using fMRI demonstrated altered patterns of the DMN in Alzheimer's disease (AD) (Greicius et al., 2004), schizophrenia (PomarolClotet et al.”
Normalized Cut Group Clustering of Resting-State fMRI Data (2008, background): “It has been recently suggested that resting-state patterns may be affected in Alzheimer’s disease [34,35], depression [36] and schizophrenia [37–42].”
Multi-level bootstrap analysis of stable clusters in resting-state fMRI (2009, background): “default-mode network maps and a group template allowed to differenciate between patients with Alzheimer’s disease and healthy controls (Greicius et al., 2004).”
Remembering the past to imagine the future: the prospective brain (2007, neutral): “Detailed analyses of the interactions that take place among the brain regions within this core system further reveal that all of the component regions are selectively correlated with one another within a large-scale brain system that includes the hippocampal formatio”
Investigations into resting-state connectivity using independent component analysis (2005, neutral): “…have demonstrated that an ICA decomposition can be used to identify patterns of activation, image artefacts and physiologically generated components including RSNs (DeLuca et al. 2002a,b, submitted; Goldman & Cohen 2003; Kiviniemi et al. 2003; Beckmann & Smith 2004; Greicius et al. 2004).”
Loss of ‘Small-World’ Networks in Alzheimer's Disease: Graph Analysis of fMRI Resting-State Functional Connectivity (2010, methodology): “The present data set was analyzed with tensor PICA, also demonstrating a decrease in activity in AD patients compared with healthy subjects within the dorsal visual-spatial attention system and DMN [7,8,55,58,59,60].”
Hidden Fluid Mechanics: A Navier-Stokes Informed Deep Learning Framework for Assimilating Flow Visualization Data (2018, methodology): “…in cerebral arteries using modalities such as perfusion CT [12] and functional magnetic resonance imaging [42] has been practiced and is crucial in the assessment of brain activity for the majority of neurodegenerative diseases such as Alzheimers disease [43] and in cognitive neuroscience [13].”
The Lifespan Human Connectome Project in Aging: An overview (2018, neutral): “Terms such as ‘healthy aging’ (Bai et al., 2008; Bartzokis et al., 2003; Greicius et al., 2004; Van Der Werf et al., 2001), non-demented aging (Head et al.”