Altered functional connectivity in early Alzheimer's disease: A resting‐state fMRI study

By Kun Wang, Meng Liang, Liang Wang, Lixia Tian, Xinqing Zhang, Kuncheng Li, T. Jiang. Human Brain Mapping, 2007

752 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/65b646aba82e0752e46ccf8d904bbb14ac5e202d

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In Cognitive Neuroscience

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging (2007, background): “Disturbances in the correlation structure of spontaneous activity have been reported for a number of pathological states including Alzheimer's diseas”
Addiction related alteration in resting-state brain connectivity (2010, neutral): “A number of groups have begun to study the resting-state connectivity in a variety of neuropsychiatric disorders such as Alzheimer's disease, depression, and schizophrenia (Greicius, 2008; Liu et al., 2007; Wang et al., 2007; Zhou et al., 2008).”
Network Analysis of Intrinsic Functional Brain Connectivity in Alzheimer's Disease (2008, background): “[29] which not only reported decreased Figure 5.”
Loss of ‘Small-World’ Networks in Alzheimer's Disease: Graph Analysis of fMRI Resting-State Functional Connectivity (2010, result): “This regional distribution of synchronization changes confirms the reported lack of functional connectivity in subjects with amnesic mild cognitive impairment between the temporal lobe structures and posterior brain areas [55] and it is compatible with the suggested anterior-posterior disconnection ”
Effects of model-based physiological noise correction on default mode network anti-correlations and correlations (2009, neutral): “…pre-processing step, or including it as a nuisance covariate when assessing functional connectivity using the general linear model (Clare Kelly et al., 2008; Fair et al., 2008; Fox et al., 2005; Fransson, 2005, 2006; Greicius et al., 2003; Tian et al., 2007; Uddin et al., 2009; Wang et al., 2007).”
Conn: A Functional Connectivity Toolbox for Correlated and Anticorrelated Brain Networks (2012, neutral): “…et al., 2009; Whitﬁeld-Gabrieli and Ford 2012), ADHD (Castellanos et al., 2008), autism (Weng et al., 2010), depression (Greicius et al., 2007; Hamilton et al., 2011), bipolar disorder (Chai et al., 2012), and Alzheimer’s disease (Buckner et al., 2009; Greicius et al., 2004; Wang et al., 2007).”
Disrupted small-world networks in schizophrenia. (2008, background): “…et al., 2005; Salvador et al., 2005a; Achard and Bullmore, 2007) and in some cognitive disorders, such as in Alzheimer’s disease (Greicius et al., 2004; Sorg et al., 2007; Wang et al., 2007), major depression (Greicius et al., 2007) and schizophrenia (Liang et al., 2006b; Zhou et al., 2007a, b).”
Anticorrelations in resting state networks without global signal regression (2011, neutral): “Abnormalities in these two anticorrelated networks have been found in patients with schizophrenia (Whit ﬁ eld-Gabrieli et al., 2009), ADHD (Castellanos et al., 2008), bipolar disorder (Chai et al., 2011), and Alzheimer's disease (Wang et al., 2007).”
Learning brain connectivity of Alzheimer’s disease by sparse inverse covariance estimation (2010, background): “…in the brain network of AD include “ Cingulum_Post_R ” and “ Cingulum_Post_L ” as well as regions all in the temporal lobe, all of which have been found to be affected by AD early and severely (Supekar et al., 2008; Wang et al., 2007; Azari et al., 1992; Horwitz et al., 1987; Grady et al., 2001).”
Can structure predict function in the human brain? (2010, neutral): “DMN regions is found to be diminished in patients with AD (Greicius et al., 2004; Wang et al., 2007) and MCI (Sorg et al.”
State-space model with deep learning for functional dynamics estimation in resting-state fMRI (2016, neutral): “…in functional connectivities, supporting the previous studies: increased number of connections as well as correlations in temporal lobe (Das et al., 2013), increased correlations within the prefrontal lobe, and parietal lobe (Wang et al., 2007), (Supekar et al., 2008), (Yao et al., 2010).”