The intrinsic functional organization of the brain is altered in autism

By Daniel P. Kennedy, Eric Courchesne. NeuroImage, 2008

526 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/5012b5620ad6e10e30344cfb401552a46216e04a

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In Cognitive Neuroscience

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Decoding brain states from fMRI connectivity graphs (2011, methodology): “This provides a reassuring con ﬁ rmation that the discriminative graphs extracted using the classi ﬁ er-based method proposed make sense in light of a classical hypothesis testing analysis.”
The role of physiological noise in resting-state functional connectivity (2012, unknown): “Finally, low frequency fluctuations in the fMRI signal during rest have been linked to individual differences in behavior or pathology (Di Martino et al., 2009; Fox et al., 2007; Garrity et al., 2007; Greicius, 2008; Kennedy and Courchesne, 2008; Kim et al., 2010).”
Abnormalities of Intrinsic Functional Connectivity in Autism Spectrum Disorders (2009, unknown): “…the default network in which subjects lay in the MRI without performing a task for a prolonged period, Kennedy and Courchesne found that ASD subjects showed less connectivity with two areas of the default network, the medial prefrontal cortex and the angular gyrus (Kennedy and Courchesne, 2008).”
Development of Large-Scale Functional Brain Networks in Children (2009, background): “neurodevelopmental disorders such as autism spectrum disorders [90], and attention-deficit/hyperactivity disorder [91], disorders”
The effect of resting condition on resting-state fMRI reliability and consistency: A comparison between resting with eyes open, closed, and fixated (2013, methodology): “Rotations were converted from degrees to millimeters by computing the displacement of a point on a sphere of 57 mm radius, which is approximately the distance from the center of the brain to the cortex (Jones et al., 2008; Kennedy and Courchesne, 2008).”
Using deep learning to investigate the neuroimaging correlates of psychiatric and neurological disorders: Methods and applications (2017, unknown): “2010); for example, several psychiatric and neurological symptoms are best explained by network-level changes in structure and function rather than focal alternations (Mulders et al., 2015; Kennedy and Courchesne, 2008; Sheffield and Barch, 2016).”
Methods for cleaning the BOLD fMRI signal (2016, unknown): “Censoring is also known as scrubbing (Carp, 2013; Jones et al., 2010; Kennedy and Courchesne, 2008; Power et al., 2012, 2013, 2014; Siegel et al., 2014), and is equivalent to adding scan nulling regressors in the model (Lemieux et al., 2007; Satterthwaite et al., 2013; Yan et al., 2013a).”
Statistical Improvements in Functional Magnetic Resonance Imaging Analyses Produced by Censoring High-Motion Data Points (2013, methodology): “Similar censoring approaches have been used in task fMRI previously [Kennedy and Courchesne, 2008; Kirwan et al., 2009; Stark et al., 2010] and in RSFC [Lemieux et al.”
The effect of scan length on the reliability of resting-state fMRI connectivity estimates (2013, methodology): “Specifically, the motion (in mm) between consecutive time points i and j was calculated as follows (Jones et al., 2010; Kennedy and Courchesne, 2008; Meier et al.,…”
Can structure predict function in the human brain? (2010, unknown): “Diminutions of FC magnitude have been detected in ADHD (Castellanos et al., 2008) as well as autism (Kennedy and Courchesne, 2008; Monk et al., 2009), whereas increased FC, in particular between DMN regions and the subgenual cingulate, has been reported in cases of depression (Greicius et al.,…”
Cognitive dysfunction in psychiatric disorders: characteristics, causes and the quest for improved therapy (2012, background): “Although its generality is unclear, a large-scale disconnection among circuits such as frontostriatal, frontotemporal and prefrontal–parietal pathways is a consistent findin”
Default-mode brain dysfunction in mental disorders: a systematic review. (2009, background): “Altered patterns of introspective thought, social and emotional processing characteristic of this disorder are reflected in aberrant deactivation of the DMN of ASD patients (Cherkassky et al., 2006; Kennedy and Courchesne, 2008; Kennedy et al., 2006).”