Functional brain imaging in survivors of critical illness: A prospective feasibility study and exploration of the association between delirium and brain activation patterns.

[1]  G. Bernard,et al.  Long-term cognitive impairment after critical illness. , 2014, The New England journal of medicine.

[2]  Jan Gertheiss,et al.  Spatially regularized estimation for the analysis of dynamic contrast‐enhanced magnetic resonance imaging data , 2014, Statistics in medicine.

[3]  G. Bernard,et al.  Long-term cognitive impairment after critical illness. , 2013, The New England journal of medicine.

[4]  Kristin R. Archer,et al.  Cognitive Dysfunction in ICU Patients: Risk Factors, Predictors, and Rehabilitation Interventions , 2013, Critical care medicine.

[5]  Joshua W. Brown,et al.  A meta-analysis of executive components of working memory. , 2013, Cerebral cortex.

[6]  R. Hopkins,et al.  Predicting cognitive sequelae in survivors of critical illness with cognitive screening tests. , 2012, American journal of respiratory and critical care medicine.

[7]  Ho-Ling Liu,et al.  Working memory in patients with mild traumatic brain injury: functional MR imaging analysis. , 2012, Radiology.

[8]  Randy L. Buckner,et al.  The serendipitous discovery of the brain's default network , 2012, NeuroImage.

[9]  Russell R. Miller,et al.  The association between brain volumes, delirium duration, and cognitive outcomes in intensive care unit survivors: The VISIONS cohort magnetic resonance imaging study* , 2012, Critical care medicine.

[10]  Russell R. Miller,et al.  The relationship between delirium duration, white matter integrity, and cognitive impairment in intensive care unit survivors as determined by diffusion tensor imaging: The VISIONS prospective cohort magnetic resonance imaging study* , 2012, Critical care medicine.

[11]  Jae-Jin Kim,et al.  Neural network functional connectivity during and after an episode of delirium. , 2012, The American journal of psychiatry.

[12]  M. Sugishita,et al.  [Clinical Dementia Rating (CDR)]. , 2011, Nihon rinsho. Japanese journal of clinical medicine.

[13]  Yuan Qi,et al.  Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net , 2011, MBIA.

[14]  K. Langa,et al.  Long-term cognitive impairment and functional disability among survivors of severe sepsis. , 2010, JAMA.

[15]  R. Hopkins,et al.  Neuroimaging in delirious intensive care unit patients: a preliminary case series report. , 2010, Psychiatry (Edgmont (Pa. : Township)).

[16]  R. Hopkins,et al.  Neurologic Changes during Critical Illness: Brain Imaging Findings and Neurobehavioral Outcomes , 2010, Brain Imaging and Behavior.

[17]  D. Bowers,et al.  Is the n-back task a valid neuropsychological measure for assessing working memory? , 2009, Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists.

[18]  A. MacLullich,et al.  Delirium and long-term cognitive impairment , 2009, International review of psychiatry.

[19]  John Ashburner,et al.  A fast diffeomorphic image registration algorithm , 2007, NeuroImage.

[20]  R. Griffiths,et al.  Significant cognitive dysfunction in non-delirious patients identified during and persisting following critical illness , 2006, Intensive Care Medicine.

[21]  R. Hopkins,et al.  Brain atrophy and cognitive impairment in survivors of acute respiratory distress syndrome , 2006, Brain injury.

[22]  S. Rombouts,et al.  Altered resting state networks in mild cognitive impairment and mild Alzheimer's disease: An fMRI study , 2005, Human brain mapping.

[23]  Kathryn M. McMillan,et al.  N‐back working memory paradigm: A meta‐analysis of normative functional neuroimaging studies , 2005, Human brain mapping.

[24]  H. Zou,et al.  Regularization and variable selection via the elastic net , 2005 .

[25]  R. Hopkins,et al.  The Association Between Delirium and Cognitive Decline: A Review of the Empirical Literature , 2004, Neuropsychology Review.

[26]  E. Ely,et al.  Six-month neuropsychological outcome of medical intensive care unit patients , 2003, Critical care medicine.

[27]  C. Sessler,et al.  The Richmond Agitation-Sedation Scale: validity and reliability in adult intensive care unit patients. , 2002, American journal of respiratory and critical care medicine.

[28]  G. Bernard,et al.  Delirium in mechanically ventilated patients: validity and reliability of the confusion assessment method for the intensive care unit (CAM-ICU). , 2001, JAMA.

[29]  J. Vincent,et al.  Serial evaluation of the SOFA score to predict outcome in critically ill patients. , 2001, JAMA.

[30]  G L Shulman,et al.  INAUGURAL ARTICLE by a Recently Elected Academy Member:A default mode of brain function , 2001 .

[31]  E. Bigler,et al.  Neuropsychological sequelae and impaired health status in survivors of severe acute respiratory distress syndrome. , 1999, American journal of respiratory and critical care medicine.

[32]  C. Randolph,et al.  The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS): preliminary clinical validity. , 1998, Journal of clinical and experimental neuropsychology.

[33]  Ross Ihaka,et al.  Gentleman R: R: A language for data analysis and graphics , 1996 .

[34]  Anthony F Jorm.  A short form of the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE): development and cross-validation , 1994, Psychological Medicine.

[35]  E. Draper,et al.  APACHE II: A severity of disease classification system , 1985, Critical care medicine.

[36]  C. P. Hughes,et al.  A New Clinical Scale for the Staging of Dementia , 1982, British Journal of Psychiatry.

[37]  S. Folstein,et al.  "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. , 1975, Journal of psychiatric research.

[38]  R. Hopkins,et al.  Neuroimaging after critical illness: implications for neurorehabilitation outcome. , 2012, NeuroRehabilitation.

[39]  C. Randolph,et al.  Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) , 2009 .