Intrinsic Patterns of Coupling between Correlation and Amplitude of Low-Frequency fMRI Fluctuations Are Disrupted in Degenerative Dementia Mainly due to Functional Disconnection
暂无分享,去创建一个
M. Bozzali | D. Mascali | L. Serra | B. Maraviglia | F. Giove | M. Moraschi | M. Fratini | T. Gili | M. DiNuzzo | Daniele Mascali
[1] Jie Xiang,et al. Altered amplitude of low-frequency fluctuations in early and late mild cognitive impairment and Alzheimer's disease. , 2014, Current Alzheimer research.
[2] Jie Lu,et al. Selective Changes of Resting-State Brain Oscillations in aMCI: An fMRI Study Using ALFF , 2014, BioMed research international.
[3] H. Hwu,et al. Frequency‐specific alternations in the amplitude of low‐frequency fluctuations in schizophrenia , 2014, Human brain mapping.
[4] Yi Zhang,et al. Frequency Specificity of Regional Homogeneity in the Resting-State Human Brain , 2014, PloS one.
[5] J. Matias Palva,et al. Infra-Slow EEG Fluctuations Are Correlated with Resting-State Network Dynamics in fMRI , 2014, The Journal of Neuroscience.
[6] Huafu Chen,et al. Specific frequency bands of amplitude low‐frequency oscillation encodes personality , 2014, Human brain mapping.
[7] Kevin Murphy,et al. Resting-state fMRI confounds and cleanup , 2013, NeuroImage.
[8] Jian Wang,et al. Specific frequency band of amplitude low-frequency fluctuation predicts Parkinson's disease , 2013, Behavioural Brain Research.
[9] N. Volkow,et al. Energetic cost of brain functional connectivity , 2013, Proceedings of the National Academy of Sciences.
[10] Bharat B. Biswal,et al. The Influence of the Amplitude of Low-Frequency Fluctuations on Resting-State Functional Connectivity , 2013, Front. Hum. Neurosci..
[11] B. Biswal,et al. Calibrating BOLD fMRI activations with neurovascular and anatomical constraints. , 2013, Cerebral cortex.
[12] Susan L. Whitfield-Gabrieli,et al. Conn: A Functional Connectivity Toolbox for Correlated and Anticorrelated Brain Networks , 2012, Brain Connect..
[13] Dinggang Shen,et al. Resting-State Multi-Spectrum Functional Connectivity Networks for Identification of MCI Patients , 2012, PloS one.
[14] Daniel Brandeis,et al. Brain state regulation during normal development: Intrinsic activity fluctuations in simultaneous EEG–fMRI , 2012, NeuroImage.
[15] Yong He,et al. Erratum to “Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI” [Brain Develop 29 (2) (2007) 83–91] , 2012, Brain and Development.
[16] Yong He,et al. Effects of Different Correlation Metrics and Preprocessing Factors on Small-World Brain Functional Networks: A Resting-State Functional MRI Study , 2012, PloS one.
[17] Yong He,et al. Functional MRI study of mild Alzheimer's disease using amplitude of low frequency fluctuation analysis. , 2012, Chinese medical journal.
[18] Ying Han,et al. Anatomical and Functional Deficits in Patients with Amnestic Mild Cognitive Impairment , 2012, PloS one.
[19] Tommaso Gili,et al. Modeling the contribution of neuron-astrocyte cross talk to slow blood oxygenation level-dependent signal oscillations. , 2011, Journal of neurophysiology.
[20] Kelly O'Keefe,et al. Hippocampal Hyperactivation Associated with Cortical Thinning in Alzheimer's Disease Signature Regions in Non-Demented Elderly Adults , 2011, The Journal of Neuroscience.
[21] Yong He,et al. Spatial patterns of intrinsic brain activity in mild cognitive impairment and alzheimer's disease: A resting‐state functional MRI study , 2011, Human brain mapping.
[22] M. Folstein,et al. Clinical diagnosis of Alzheimer's disease: Report of the NINCDS—ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease , 2011, Neurology.
[23] Alexis T Baria,et al. Anatomical and Functional Assemblies of Brain BOLD Oscillations , 2011, The Journal of Neuroscience.
[24] Katiuscia Sacco,et al. Functional connectivity of the insula in the resting brain , 2011, NeuroImage.
[25] Ying Han,et al. Frequency-dependent changes in the amplitude of low-frequency fluctuations in amnestic mild cognitive impairment: A resting-state fMRI study , 2011, NeuroImage.
[26] M. V. D. Heuvel,et al. Exploring the brain network: A review on resting-state fMRI functional connectivity , 2010, European Neuropsychopharmacology.
[27] Zhi-jun Zhang,et al. Resting brain connectivity: changes during the progress of Alzheimer disease. , 2010, Radiology.
[28] C. Caltagirone,et al. Regional brain atrophy and functional disconnection across Alzheimer's disease evolution , 2010, Journal of Neurology, Neurosurgery & Psychiatry.
[29] M. Schölvinck,et al. Neural basis of global resting-state fMRI activity , 2010, Proceedings of the National Academy of Sciences.
[30] M. Fox,et al. Clinical Applications of Resting State Functional Connectivity , 2010, Front. Syst. Neurosci..
[31] Walter Schneider,et al. Identifying the brain's most globally connected regions , 2010, NeuroImage.
[32] Bharat B. Biswal,et al. The oscillating brain: Complex and reliable , 2010, NeuroImage.
[33] Yufeng Zang,et al. Spontaneous Brain Activity in the Default Mode Network Is Sensitive to Different Resting-State Conditions with Limited Cognitive Load , 2009, PloS one.
[34] Keith A. Johnson,et al. Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer's Disease , 2009, The Journal of Neuroscience.
[35] Catie Chang,et al. Influence of heart rate on the BOLD signal: The cardiac response function , 2009, NeuroImage.
[36] B. Biswal,et al. Functional connectivity of human striatum: a resting state FMRI study. , 2008, Cerebral cortex.
[37] D. Auer. Spontaneous low-frequency blood oxygenation level-dependent fluctuations and functional connectivity analysis of the 'resting' brain. , 2008, Magnetic resonance imaging.
[38] P. Bandettini,et al. The effect of respiration variations on independent component analysis results of resting state functional connectivity , 2008, Human brain mapping.
[39] O. Sporns,et al. Mapping the Structural Core of Human Cerebral Cortex , 2008, PLoS biology.
[40] R. Oostenveld,et al. Frontal theta EEG activity correlates negatively with the default mode network in resting state. , 2008, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[41] Bart Rypma,et al. Hemodynamic scaling of fMRI-BOLD signal: validation of low-frequency spectral amplitude as a scalability factor. , 2007, Magnetic resonance imaging.
[42] V. Calhoun,et al. Selective changes of resting-state networks in individuals at risk for Alzheimer's disease , 2007, Proceedings of the National Academy of Sciences.
[43] Justin L. Vincent,et al. Intrinsic Fluctuations within Cortical Systems Account for Intertrial Variability in Human Behavior , 2007, Neuron.
[44] M. Fox,et al. Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging , 2007, Nature Reviews Neuroscience.
[45] Thomas T. Liu,et al. A component based noise correction method (CompCor) for BOLD and perfusion based fMRI , 2007, NeuroImage.
[46] Tianzi Jiang,et al. Regional coherence changes in the early stages of Alzheimer’s disease: A combined structural and resting-state functional MRI study , 2007, NeuroImage.
[47] Yong He,et al. Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI. , 2007, Brain & development.
[48] Peter A. Bandettini,et al. Separating respiratory-variation-related fluctuations from neuronal-activity-related fluctuations in fMRI , 2006, NeuroImage.
[49] Tianzi Jiang,et al. Changes in hippocampal connectivity in the early stages of Alzheimer's disease: Evidence from resting state fMRI , 2006, NeuroImage.
[50] Karl J. Friston,et al. Unified segmentation , 2005, NeuroImage.
[51] Stephen M. Smith,et al. Investigations into resting-state connectivity using independent component analysis , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.
[52] G. Buzsáki,et al. Neuronal Oscillations in Cortical Networks , 2004, Science.
[53] Irene Tracey,et al. Resting fluctuations in arterial carbon dioxide induce significant low frequency variations in BOLD signal , 2004, NeuroImage.
[54] M. Greicius,et al. Default-mode network activity distinguishes Alzheimer's disease from healthy aging: Evidence from functional MRI , 2004, Proc. Natl. Acad. Sci. USA.
[55] R Turner,et al. Optimisation of the 3D MDEFT sequence for anatomical brain imaging: technical implications at 1.5 and 3 T , 2004, NeuroImage.
[56] A. Kleinschmidt,et al. Electroencephalographic signatures of attentional and cognitive default modes in spontaneous brain activity fluctuations at rest , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[57] G. Buzsáki,et al. Natural logarithmic relationship between brain oscillators , 2003 .
[58] Gaohong Wu,et al. Alzheimer Disease: evaluation of a functional MR imaging index as a marker. , 2002, Radiology.
[59] J. Morris,et al. Current concepts in mild cognitive impairment. , 2001, Archives of neurology.
[60] Karl J. Friston,et al. Why Voxel-Based Morphometry Should Be Used , 2001, NeuroImage.
[61] R W Cox,et al. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. , 1996, Computers and biomedical research, an international journal.
[62] B. Biswal,et al. Functional connectivity in the motor cortex of resting human brain using echo‐planar mri , 1995, Magnetic resonance in medicine.
[63] M. Folstein,et al. Clinical diagnosis of Alzheimer's disease , 1984, Neurology.
[64] Yong He,et al. Abnormal amplitude of low-frequency fluctuations of intrinsic brain activity in Alzheimer's disease. , 2014, Journal of Alzheimer's disease : JAD.
[65] Yong He,et al. Abnormal intrinsic brain activity in amnestic mild cognitive impairment revealed by amplitude of low-frequency fluctuation: a resting-state functional magnetic resonance imaging study. , 2013, Chinese medical journal.
[66] C. Caltagirone,et al. Mild cognitive impairment: same identity for different entities. , 2013, Journal of Alzheimer's disease : JAD.