Cerebral White Matter Integrity and Resting-State Functional Connectivity in Middle-aged Patients With Type 2 Diabetes
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Marek Kubicki | Jason S. Schneiderman | Martha E. Shenton | Donald C. Simonson | M. Kubicki | M. Shenton | J. Schneiderman | A. Jacobson | D. Simonson | G. Musen | N. Bolo | V. Flores | W. S. Hoogenboom | Nicolas R. Bolo | T. J. Marder | S. Huisman | Hana P. Eaton | Wouter S. Hoogenboom | Gail Musen | Alan M. Jacobson | Thomas J. Marder | Veronica L. Flores | Susanne Huisman
[1] R. C. Oldfield. The assessment and analysis of handedness: the Edinburgh inventory. , 1971, Neuropsychologia.
[2] M. Catani,et al. A diffusion tensor imaging tractography atlas for virtual in vivo dissections , 2008, Cortex.
[3] Karl J. Friston. Testing for anatomically specified regional effects , 1997, Human brain mapping.
[4] R. Kikinis,et al. A review of diffusion tensor imaging studies in schizophrenia. , 2007, Journal of psychiatric research.
[5] K. Uchino,et al. Treatment of Risk Factors to Prevent Stroke , 2011, Neurotherapeutics.
[6] R. Muniyappa,et al. Current approaches for assessing insulin sensitivity and resistance in vivo: advantages, limitations, and appropriate usage. , 2008, American journal of physiology. Endocrinology and metabolism.
[7] Jewel Swanson. The Delis-Kaplan Executive Function System , 2005 .
[8] M. Shenton,et al. Resting-State Brain Functional Connectivity Is Altered in Type 2 Diabetes , 2012, Diabetes.
[9] Martin Lepage,et al. Medial prefrontal cortex activity during memory encoding of pictures and its relation to symptomatic improvement after citalopram treatment in patients with major depression. , 2010, Journal of psychiatry & neuroscience : JPN.
[10] David H. Salat,et al. Inter-individual variation in blood pressure is associated with regional white matter integrity in generally healthy older adults , 2012, NeuroImage.
[11] A. Janke,et al. High “Normal” Blood Glucose Is Associated with Decreased Brain Volume and Cognitive Performance in the 60s: The PATH through Life Study , 2013, PloS one.
[12] Mark A. Smith,et al. Central obesity and increased risk of dementia more than three decades later. , 2009, Neurology.
[13] Alexander Leemans,et al. Disruption of the Cerebral White Matter Network Is Related to Slowing of Information Processing Speed in Patients With Type 2 Diabetes , 2013, Diabetes.
[14] Wai Tsui,et al. Emotional and neutral declarative memory impairments and associated white matter microstructural abnormalities in adults with type 2 diabetes , 2009, Psychiatry Research: Neuroimaging.
[15] A. Leemans,et al. Microstructural White Matter Abnormalities and Cognitive Functioning in Type 2 Diabetes , 2012, Diabetes Care.
[16] Martha Elizabeth Shenton,et al. Predicting inter-hemispheric transfer time from the diffusion properties of the corpus callosum in healthy individuals and schizophrenia patients: A combined ERP and DTI study , 2011, NeuroImage.
[17] B. A. Ardekani,et al. Preliminary evidence for brain complications in obese adolescents with type 2 diabetes mellitus , 2010, Diabetologia.
[18] P. Renshaw,et al. Altered prefrontal glutamate-glutamine-gamma-aminobutyric acid levels and relation to low cognitive performance and depressive symptoms in type 1 diabetes mellitus. , 2009, Archives of general psychiatry.
[19] Yogesh Rathi,et al. Voxel-based morphometry (VBM) studies in schizophrenia—can white matter changes be reliably detected with VBM? , 2011, Psychiatry Research: Neuroimaging.
[20] Benjamin J. Shannon,et al. Molecular, Structural, and Functional Characterization of Alzheimer's Disease: Evidence for a Relationship between Default Activity, Amyloid, and Memory , 2005, The Journal of Neuroscience.
[21] A. Algra,et al. Metabolic and vascular determinants of impaired cognitive performance and abnormalities on brain magnetic resonance imaging in patients with type 2 diabetes , 2007, Diabetologia.
[22] Bruce G. Pollock,et al. Age-related decline in white matter tract integrity and cognitive performance: A DTI tractography and structural equation modeling study , 2012, Neurobiology of Aging.
[23] H. Shalev,et al. Vascular Pathology and Blood-Brain Barrier Disruption in Cognitive and Psychiatric Complications of Type 2 Diabetes Mellitus , 2011, Cardiovascular psychiatry and neurology.
[24] Carl-Fredrik Westin,et al. Restoration of DWI Data Using a Rician LMMSE Estimator , 2008, IEEE Transactions on Medical Imaging.
[25] A. Bhansali,et al. Pathophysiology of prediabetes. , 2005, Journal of the Indian Medical Association.
[26] 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.
[27] Samantha J. Brooks,et al. Impaired Insulin Sensitivity as Indexed by the HOMA Score Is Associated With Deficits in Verbal Fluency and Temporal Lobe Gray Matter Volume in the Elderly , 2012, Diabetes Care.
[28] Karl J. Friston,et al. Mixed-effects and fMRI studies , 2005, NeuroImage.
[29] Raúl San José Estépar,et al. Diffusion tractography of the fornix in schizophrenia , 2009, Schizophrenia Research.
[30] Carl-Fredrik Westin,et al. Processing and visualization for diffusion tensor MRI , 2002, Medical Image Anal..
[31] R. Dean,et al. TEST REVIEW: Dean C. Delis, Edith Kaplan & Joel H. Kramer, Delis Kaplan Executive Function System (D-KEFS), The Psychological Corporation, San Antonio, TX, 2001. $415.00 (complete kit) , 2006 .
[32] Marine Fouquet,et al. Sequential relationships between grey matter and white matter atrophy and brain metabolic abnormalities in early Alzheimer's disease. , 2010, Brain : a journal of neurology.
[33] P. Basser,et al. MR diffusion tensor spectroscopy and imaging. , 1994, Biophysical journal.
[34] P. Basser,et al. Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI. , 1996, Journal of magnetic resonance. Series B.
[35] M. Kivimäki,et al. Predicting cognitive decline , 2013, Neurology.
[36] R. E. Schmidt,et al. Toward accurate diagnosis of white matter pathology using diffusion tensor imaging , 2007, Magnetic resonance in medicine.
[37] M. P. van den Heuvel,et al. Microstructural Organization of the Cingulum Tract and the Level of Default Mode Functional Connectivity , 2008, The Journal of Neuroscience.
[38] Y. Reijmer,et al. Cognitive dysfunction in patients with type 2 diabetes , 2010, Diabetes/metabolism research and reviews.
[39] M. Greicius,et al. Resting-state functional connectivity reflects structural connectivity in the default mode network. , 2009, Cerebral cortex.
[40] S. Haneuse,et al. Glucose levels and risk of dementia. , 2013, The New England journal of medicine.
[41] J. Moriguti,et al. (Pre)diabetes, brain aging, and cognition. , 2009, Biochimica et biophysica acta.
[42] Marnie E. Shaw,et al. Switching between executive and default mode networks in posttraumatic stress disorder: alterations in functional connectivity. , 2010, Journal of psychiatry & neuroscience : JPN.
[43] Jung-Lung Hsu,et al. Microstructural white matter abnormalities in type 2 diabetes mellitus: A diffusion tensor imaging study , 2012, NeuroImage.
[44] Yasuyuki Taki,et al. Training of Working Memory Impacts Structural Connectivity , 2010, The Journal of Neuroscience.
[45] In Kyoon Lyoo,et al. Effects of type 1 diabetes on gray matter density as measured by voxel-based morphometry. , 2006, Diabetes.
[46] Vinod Menon,et al. Functional connectivity in the resting brain: A network analysis of the default mode hypothesis , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[47] Ann K. Shinn,et al. Default mode network abnormalities in bipolar disorder and schizophrenia , 2010, Psychiatry Research: Neuroimaging.