Neural predictors of cognitive improvement by multi-strategic memory training based on metamemory in older adults with subjective memory complaints

[1]  M. Wiesmann,et al.  Insult , 2019, DMW - Deutsche Medizinische Wochenschrift.

[2]  N. Cohen,et al.  Enhanced Learning through Multimodal Training: Evidence from a Comprehensive Cognitive, Physical Fitness, and Neuroscience Intervention , 2017, Scientific Reports.

[3]  Tony D. James,et al.  Corrigendum: Macrophage Migration Inhibitory Factor is subjected to glucose modification and oxidation in Alzheimer’s Disease , 2017, Scientific Reports.

[4]  G. Pazour,et al.  Ror2 signaling regulates Golgi structure and transport through IFT20 for tumor invasiveness , 2017, Scientific Reports.

[5]  Yasuhiro Yamada,et al.  Photoluminescence of monovalent indium centres in phosphate glass , 2015, Scientific Reports.

[6]  Eunsam Shin,et al.  Training Improves the Capacity of Visual Working Memory When It Is Adaptive, Individualized, and Targeted , 2015, PloS one.

[7]  Mitsuo Kawato,et al.  Predicting learning plateau of working memory from whole-brain intrinsic network connectivity patterns , 2015, Scientific Reports.

[8]  Susanne M. Jaeggi,et al.  The role of individual differences in cognitive training and transfer , 2014, Memory & cognition.

[9]  Onur Mutlu,et al.  Memory Systems , 2014, Computing Handbook, 3rd ed..

[10]  Brigitte Landeau,et al.  Relationships between years of education and gray matter volume, metabolism and functional connectivity in healthy elders , 2013, NeuroImage.

[11]  D. Clark,et al.  White matter integrity as a link in the association between motivation to abstain and treatment outcome in adolescent substance users. , 2013, Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors.

[12]  S. Jang,et al.  Neural reorganization following bilateral injury of the fornix crus in a patient with traumatic brain injury. , 2013, Journal of rehabilitation medicine.

[13]  G. Deco,et al.  Spontaneous Brain Activity Predicts Learning Ability of Foreign Sounds , 2013, The Journal of Neuroscience.

[14]  L. Fuchs,et al.  Neural predictors of individual differences in response to math tutoring in primary-grade school children , 2013, Proceedings of the National Academy of Sciences.

[15]  Y. Stern.  Cognitive reserve in ageing and Alzheimer's disease , 2012, The Lancet Neurology.

[16]  J. Caplan,et al.  Building a memory palace in minutes: equivalent memory performance using virtual versus conventional environments with the Method of Loci. , 2012, Acta psychologica.

[17]  Andreas Engvig,et al.  Hippocampal subfield volumes correlate with memory training benefit in subjective memory impairment , 2012, NeuroImage.

[18]  M. Corbetta,et al.  Individual variability in functional connectivity predicts performance of a perceptual task , 2012, Proceedings of the National Academy of Sciences.

[19]  Rebecca J. Theilmann,et al.  Frontal White Matter Integrity Predictors of Adult Alcohol Treatment Outcome , 2012, Biological Psychiatry.

[20]  S. Ryu,et al.  Multistrategic Memory Training with the Metamemory Concept in Healthy Older Adults , 2011, Psychiatry investigation.

[21]  David Manset,et al.  Virtual imaging laboratories for marker discovery in neurodegenerative diseases , 2011, Nature Reviews Neurology.

[22]  Amanda Wood,et al.  Do children really recover better? Neurobehavioural plasticity after early brain insult. , 2011, Brain : a journal of neurology.

[23]  Mark E. Bastin,et al.  MRI correlates of episodic memory in Alzheimer's disease, mild cognitive impairment, and healthy aging , 2010, Psychiatry Research: Neuroimaging.

[24]  Richard Goldstein,et al.  Human Neuroscience , 2010 .

[25]  Andreas Engvig,et al.  Effects of memory training on cortical thickness in the elderly , 2010, NeuroImage.

[26]  C. Caltagirone,et al.  In vivo structural neuroanatomy of corpus callosum in Alzheimer's disease and mild cognitive impairment using different MRI techniques: a review. , 2010, Journal of Alzheimer's disease : JAD.

[27]  Joanna M. Wardlaw,et al.  White Matter Integrity in the Splenium of the Corpus Callosum is Related to Successful Cognitive Aging and Partly Mediates the Protective Effect of an Ancestral Polymorphism in ADRB2 , 2010, Behavior genetics.

[28]  Roberto Cabeza,et al.  Cerebral White Matter Integrity Mediates Adult Age Differences in Cognitive Performance , 2009, Journal of Cognitive Neuroscience.

[29]  Ivan Toni,et al.  Increase in prefrontal cortical volume following cognitive behavioural therapy in patients with chronic fatigue syndrome. , 2008, Brain : a journal of neurology.

[30]  Lawrence R. Frank,et al.  Microstructural integrity of the corpus callosum linked with neuropsychological performance in adolescents , 2008, Brain and Cognition.

[31]  Steven Robbins,et al.  An unbiased iterative group registration template for cortical surface analysis , 2007, NeuroImage.

[32]  M. Lachman.  Perceived Control Over Aging-Related Declines , 2006 .

[33]  Sylvie Belleville,et al.  Improvement of Episodic Memory in Persons with Mild Cognitive Impairment and Healthy Older Adults: Evidence from a Cognitive Intervention Program , 2006, Dementia and Geriatric Cognitive Disorders.

[34]  Alan C. Evans,et al.  Spatial patterns of cortical thinning in mild cognitive impairment and Alzheimer's disease. , 2006, Brain : a journal of neurology.

[35]  A. Saykin,et al.  Older adults with cognitive complaints show brain atrophy similar to that of amnestic MCI , 2006, Neurology.

[36]  Daniel Rueckert,et al.  Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data , 2006, NeuroImage.

[37]  Alan C. Evans,et al.  A novel quantitative cross-validation of different cortical surface reconstruction algorithms using MRI phantom , 2006, NeuroImage.

[38]  Daniel L. Schacter,et al.  Understanding metamemory: Neural correlates of the cognitive process and subjective level of confidence in recognition memory , 2006, NeuroImage.

[39]  P. Whitehouse,et al.  Mild cognitive impairment , 2006, Lancet.

[40]  Yaakov Stern,et al.  Cognitive Reserve: Implications for Assessment and Intervention , 2013, Folia Phoniatrica et Logopaedica.

[41]  Alfred W. Kaszniak,et al.  Metamemory Experiments in Neurological Populations: A Review , 2005, Neuropsychology Review.

[42]  Alan C. Evans,et al.  Automated 3-D extraction and evaluation of the inner and outer cortical surfaces using a Laplacian map and partial volume effect classification , 2005, NeuroImage.

[43]  Alan C. Evans,et al.  Focal decline of cortical thickness in Alzheimer's disease identified by computational neuroanatomy. , 2004, Cerebral cortex.

[44]  G. D. den Heeten,et al.  Effects of psychotherapy on hippocampal volume in out-patients with post-traumatic stress disorder: a MRI investigation , 2005, Psychological Medicine.

[45]  Margarete Delazer,et al.  Learning by strategies and learning by drill—evidence from an fMRI study , 2005, NeuroImage.

[46]  Toshio Iijima,et al.  Changes in brain activation associated with use of a memory strategy: a functional MRI study , 2005, NeuroImage.

[47]  Alan C. Evans,et al.  Cortical thickness analysis examined through power analysis and a population simulation , 2005, NeuroImage.

[48]  D. Louis Collins,et al.  Tuning and Comparing Spatial Normalization Methods , 2003, MICCAI.

[49]  Yue-jia Luo,et al.  Neural correlates of “feeling-of-not-knowing”: Evidence from functional MRI , 2003 .

[50]  Monica Baciu,et al.  A Functional MRI Study of the Ver , 2003 .

[51]  Stephen M Smith,et al.  Fast robust automated brain extraction , 2002, Human brain mapping.

[52]  Alan C. Evans,et al.  Automatic "pipeline" analysis of 3-D MRI data for clinical trials: application to multiple sclerosis , 2002, IEEE Transactions on Medical Imaging.

[53]  D. Y. Lee,et al.  A Normative Study of the Mini-Mental State Examination in the Korean Elderly , 2002 .

[54]  Alan C. Evans,et al.  Measurement of Cortical Thickness Using an Automated 3-D Algorithm: A Validation Study , 2001, NeuroImage.

[55]  Alan C. Evans,et al.  Automated 3-D Extraction of Inner and Outer Surfaces of Cerebral Cortex from MRI , 2000, NeuroImage.

[56]  A. Ardila,et al.  Age-related cognitive decline during normal aging: the complex effect of education. , 2000, Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists.

[57]  M. Mesulam.  Brain, Mind, and the Evolution of Connectivity , 2000, Brain and Cognition.

[58]  F. Sommer,et al.  Global Relationship between Anatomical Connectivity and Activity Propagation in the Cerebral Cortex , 2022 .

[59]  A. Ardila,et al.  Correlation between intelligence test scores and executive function measures. , 2000, Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists.

[60]  Alan C. Evans,et al.  A nonparametric method for automatic correction of intensity nonuniformity in MRI data , 1998, IEEE Transactions on Medical Imaging.

[61]  R. Petersen,et al.  Aging, Memory, and Mild Cognitive Impairment , 1997, International Psychogeriatrics.

[62]  Alan C. Evans,et al.  Automatic Quantification of Multiple Sclerosis Lesion Volume Using Stereotaxic Space , 1996, VBC.

[63]  Gurindar S. Sohi,et al.  Memory systems , 1996, CSUR.

[64]  A. Kaszniak,et al.  On the neuropsychology of metamemory: Contributions from the study of amnesia and dementia , 1996 .

[65]  Karl J. Friston,et al.  A unified statistical approach for determining significant signals in images of cerebral activation , 1996, Human brain mapping.

[66]  D. Collins,et al.  Automatic 3D Intersubject Registration of MR Volumetric Data in Standardized Talairach Space , 1994, Journal of computer assisted tomography.

[67]  T. Bliss,et al.  A synaptic model of memory: long-term potentiation in the hippocampus , 1993, Nature.

[68]  L. Goossens,et al.  Improving memory performance in the aged through mnemonic training: a meta-analytic study. , 1992, Psychology and aging.

[69]  R. Snow,et al.  Aptitude-treatment interaction as a framework for research on individual differences in psychotherapy. , 1991, Journal of consulting and clinical psychology.

[70]  T. O. Nelson.  Metamemory: A Theoretical Framework and New Findings , 1990 .

[71]  C. Waltz.  Validation study. , 1988, NLN publications.

[72]  Robert C. Wolpert,et al.  A Review of the , 1985 .

[73]  L. Voronin,et al.  Long-term potentiation in the hippocampus , 1983, Neuroscience.

[74]  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.