Unraveling Lifelong Brain Morphometric Dynamics: A Protocol for Systematic Review and Meta-Analysis in Healthy Neurodevelopment and Ageing
暂无分享,去创建一个
M. Ljubisavljevic | M. Szólics | J. Gelovani | K. M. Das | K. Zaręba | Y. Statsenko | T. Habuza | T. Almansoori | K. Gorkom | Fransina Christina King | G. Simiyu | Darya Smetanina | Sarah Meribout | F. Ismail | Yauhen Statsenko | K. Gorkom
[1] S. DeKosky,et al. Mediation of Reduced Hippocampal Volume by Cerebral Amyloid Angiopathy in Pathologically Confirmed Patients with Alzheimer's Disease. , 2023, Journal of Alzheimer's disease : JAD.
[2] M. Ljubisavljevic,et al. Patterns of structure-function association in normal aging and in Alzheimer's disease: Screening for mild cognitive impairment and dementia with ML regression and classification models , 2023, Frontiers in Aging Neuroscience.
[3] R. Perneczky,et al. Anti-amyloid antibody therapies in Alzheimer's disease. , 2023, Brain : a journal of neurology.
[4] O. Witte,et al. Cortical and subcortical grey matter atrophy in Amyotrophic Lateral Sclerosis correlates with measures of disease accumulation independent of disease aggressiveness , 2022, NeuroImage: Clinical.
[5] M. L. Cordeiro,et al. Autism Spectrum Disorder Diagnoses: A Comparison of Countries with Different Income Levels , 2022, Clinical epidemiology.
[6] S. Brenner,et al. Newborn screening for neurodevelopmental diseases: Are we there yet? , 2022, American journal of medical genetics. Part C, Seminars in medical genetics.
[7] C. Lockwood,et al. JBI Series Paper 2: Tailored evidence synthesis approaches are required to answer diverse questions: a pragmatic evidence synthesis toolkit from JBI. , 2022, Journal of clinical epidemiology.
[8] M. Ljubisavljevic,et al. Brain Morphometry and Cognitive Performance in Normal Brain Aging: Age- and Sex-Related Structural and Functional Changes , 2022, Frontiers in Aging Neuroscience.
[9] M. Ljubisavljevic,et al. Proportional Changes in Cognitive Subdomains During Normal Brain Aging , 2021, Frontiers in Aging Neuroscience.
[10] Nazar Zaki,et al. MRI and cognitive tests-based screening tool for dementia , 2021, Journal of the Neurological Sciences.
[11] M. Szólics,et al. Ai models of age-associated changes in CNS composition identified by MRI , 2021, Journal of the Neurological Sciences.
[12] M. Szólics,et al. Predicting cognitive age for screening for neurodegeneration , 2021, Journal of the Neurological Sciences.
[13] T. Habuza. Models of brain cognitive and morphological changes across the life: machine learning-based approach , 2021 .
[14] Phillip G. D. Ward,et al. Factors associated with brain ageing - a systematic review , 2021, BMC Neurology.
[15] G. Baylis,et al. Predicting Age From Behavioral Test Performance for Screening Early Onset of Cognitive Decline , 2021, Frontiers in Aging Neuroscience.
[16] Dan J Stein,et al. Brain charts for the human lifespan , 2021, Nature.
[17] S. Minoshima,et al. Brain [F-18]FDG PET for Clinical Dementia Workup: Differential Diagnosis of Alzheimer's Disease and Other Types of Dementing Disorders. , 2021, Seminars in nuclear medicine.
[18] Nazar Zaki,et al. Applying the Inverse Efficiency Score to Visual–Motor Task for Studying Speed-Accuracy Performance While Aging , 2020, Frontiers in Aging Neuroscience.
[19] Natalie L. Colich,et al. Biological aging in childhood and adolescence following experiences of threat and deprivation: A systematic review and meta-analysis. , 2020, Psychological bulletin.
[20] F. Panza,et al. Anti-amyloid-β protein agents for the treatment of Alzheimer’s disease: an update on emerging drugs , 2020, Expert opinion on emerging drugs.
[21] Femitha Pournami,et al. Disability Prediction by Early Hammersmith Neonatal Neurological Examination: A Diagnostic Study , 2020, Journal of child neurology.
[22] M. Levine,et al. A roadmap to build a phenotypic metric of ageing: insights from the Baltimore Longitudinal Study of Aging , 2020, Journal of internal medicine.
[23] J. Polanin,et al. Methodological Guidance Paper: High-Quality Meta-Analysis in a Systematic Review , 2019, Review of Educational Research.
[24] S. Hasselbalch,et al. Ageing as a risk factor for neurodegenerative disease , 2019, Nature Reviews Neurology.
[25] O. Wolkowitz,et al. Accelerated aging in serious mental disorders. , 2019, Current opinion in psychiatry.
[26] A. Cerasa,et al. Radiomics approach in the neurodegenerative brain , 2019, Aging Clinical and Experimental Research.
[27] P. Maurya,et al. Oxidative Stress and Accelerated Aging in Neurodegenerative and Neuropsychiatric Disorder. , 2019, Current pharmaceutical design.
[28] B. Miller,et al. Discriminative Accuracy of [18F]flortaucipir Positron Emission Tomography for Alzheimer Disease vs Other Neurodegenerative Disorders , 2018, JAMA.
[29] T. Luck,et al. Is dementia incidence declining in high-income countries? A systematic review and meta-analysis , 2018, Clinical epidemiology.
[30] Melissa J. Krauss,et al. Trends in Adult Alcohol Use and Binge Drinking in the Early 21st‐Century United States: A Meta‐Analysis of 6 National Survey Series , 2018, Alcoholism, clinical and experimental research.
[31] M. Mattson,et al. Hallmarks of Brain Aging: Adaptive and Pathological Modification by Metabolic States. , 2018, Cell metabolism.
[32] Myria Petrou,et al. How to Perform a Systematic Review and Meta-analysis of Diagnostic Imaging Studies. , 2018, Academic radiology.
[33] D. Harvey,et al. Brain Volume Change and Cognitive Trajectories in Aging , 2018, Neuropsychology.
[34] John H. Gilmore,et al. Imaging structural and functional brain development in early childhood , 2018, Nature Reviews Neuroscience.
[35] J. Piven,et al. Brain and behavior development in autism from birth through infancy , 2017, Dialogues in clinical neuroscience.
[36] Sean C. L. Deoni,et al. Quantifying cortical development in typically developing toddlers and young children, 1–6 years of age , 2017, NeuroImage.
[37] L. Nyberg,et al. Longitudinal association between hippocampus atrophy and episodic-memory decline , 2017, Neurobiology of Aging.
[38] C. Ghosh,et al. Basics of aging theories and disease related aging-an overview , 2017 .
[39] P. Bosco,et al. Brain atrophy in Alzheimer’s Disease and aging , 2016, Ageing Research Reviews.
[40] B. Copnell,et al. A Guide to Writing a Qualitative Systematic Review Protocol to Enhance Evidence-Based Practice in Nursing and Health Care. , 2016, Worldviews on evidence-based nursing.
[41] Juha Koikkalainen,et al. Differential diagnosis of neurodegenerative diseases using structural MRI data , 2016, NeuroImage: Clinical.
[42] G. Cioni,et al. Early intervention in neurodevelopmental disorders: underlying neural mechanisms , 2016, Developmental medicine and child neurology.
[43] S. McNaughton,et al. Dietary patterns and successful ageing: a systematic review , 2015, European Journal of Nutrition.
[44] Michael A. Bruno,et al. Understanding and Confronting Our Mistakes: The Epidemiology of Error in Radiology and Strategies for Error Reduction. , 2015, Radiographics : a review publication of the Radiological Society of North America, Inc.
[45] Sarah J. Locke,et al. Evaluating temporal trends from occupational lead exposure data reported in the published literature using meta-regression. , 2014, The Annals of occupational hygiene.
[46] M. Miller,et al. Traumatic stress, oxidative stress and posttraumatic stress disorder: neurodegeneration and the accelerated-aging hypothesis , 2014, Molecular Psychiatry.
[47] L. Westlye,et al. Differential Longitudinal Changes in Cortical Thickness, Surface Area and Volume across the Adult Life Span: Regions of Accelerating and Decelerating Change , 2014, The Journal of Neuroscience.
[48] B. Tang,et al. Genetics of hereditary neurological disorders in children. , 2014, Translational pediatrics.
[49] S. Kushwaha,et al. Differential Diagnosis of Neurodegenerative Dementias Using Metabolic Phenotypes on F-18 FDG PET/CT , 2014, The neuroradiology journal.
[50] A. Dale,et al. Critical ages in the life course of the adult brain: nonlinear subcortical aging , 2013, Neurobiology of Aging.
[51] Sabine C. Mueller,et al. A blood based 12-miRNA signature of Alzheimer disease patients , 2013, Genome Biology.
[52] J. Kaye,et al. Neuropathologic basis of age-associated brain atrophy. , 2013, JAMA neurology.
[53] Shuyu Li,et al. Age-related changes in brain structural covariance networks , 2013, Front. Hum. Neurosci..
[54] George Richardson,et al. Brain development and aging: Overlapping and unique patterns of change , 2013, NeuroImage.
[55] C. Jack,et al. Tracking pathophysiological processes in Alzheimer's disease: an updated hypothetical model of dynamic biomarkers , 2013, The Lancet Neurology.
[56] L. Nyberg,et al. Genetic and Lifestyle Predictors of 15‐Year Longitudinal Change in Episodic Memory , 2012, Journal of the American Geriatrics Society.
[57] Y. Stern. Cognitive reserve in ageing and Alzheimer's disease , 2012, The Lancet Neurology.
[58] Hisao Nishijo,et al. Developmental Trajectories of Amygdala and Hippocampus from Infancy to Early Adulthood in Healthy Individuals , 2012, PloS one.
[59] Ronald M. Summers,et al. Machine learning and radiology , 2012, Medical Image Anal..
[60] Y. Kawasaki,et al. A follow-up MRI study of the fusiform gyrus and middle and inferior temporal gyri in schizophrenia spectrum , 2011, Progress in Neuro-Psychopharmacology and Biological Psychiatry.
[61] C. Lebel,et al. Longitudinal Development of Human Brain Wiring Continues from Childhood into Adulthood , 2011, The Journal of Neuroscience.
[62] Denise C. Park,et al. Toward defining the preclinical stages of Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease , 2011, Alzheimer's & Dementia.
[63] Anders M. Dale,et al. Consistent neuroanatomical age-related volume differences across multiple samples , 2011, Neurobiology of Aging.
[64] M. Albert,et al. Introduction to the recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease , 2011, Alzheimer's & Dementia.
[65] Guangyu Zhang,et al. Beyond age and gender: Relationships between cortical and subcortical brain volume and cognitive-motor abilities in school-age children , 2011, NeuroImage.
[66] C. Jack,et al. Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade , 2010, The Lancet Neurology.
[67] P. Areán,et al. The Sensitivity and Specificity of Cognitive Screening Instruments to Detect Cognitive Impairment in Older Adults With Severe Psychiatric Illness , 2010, Journal of geriatric psychiatry and neurology.
[68] A. Dale,et al. One-Year Brain Atrophy Evident in Healthy Aging , 2009, The Journal of Neuroscience.
[69] D. Krainc,et al. Gene expression changes in blood as a putative biomarker for Huntington's disease , 2009, Movement disorders : official journal of the Movement Disorder Society.
[70] Daniel P. Kennedy,et al. Mapping Early Brain Development in Autism , 2007, Neuron.
[71] K. Marder,et al. A screening assessment of cognitive impairment in patients with ALS , 2007, Amyotrophic lateral sclerosis : official publication of the World Federation of Neurology Research Group on Motor Neuron Diseases.
[72] Cheryl L. Dahle,et al. Regional brain changes in aging healthy adults: general trends, individual differences and modifiers. , 2005, Cerebral cortex.
[73] A. Dale,et al. Effects of age on volumes of cortex, white matter and subcortical structures , 2005, Neurobiology of Aging.
[74] T. Gera,et al. Effect of iron supplementation on mental and motor development in children: systematic review of randomised controlled trials , 2005, Public Health Nutrition.
[75] D. Altman,et al. Measuring inconsistency in meta-analyses , 2003, BMJ : British Medical Journal.
[76] Nick C Fox,et al. A longitudinal study of brain volume changes in normal aging using serial registered magnetic resonance imaging. , 2003, Archives of neurology.
[77] M. Ljubisavljevic,et al. Reliability of Machine Learning in Eliminating Data Redundancy of Radiomics and Reflecting Pathophysiology in COVID-19 Pneumonia: Impact of CT Reconstruction Kernels on Accuracy , 2022, IEEE Access.
[78] N. Zaki,et al. Deviation From Model of Normal Aging in Alzheimer’s Disease: Application of Deep Learning to Structural MRI Data and Cognitive Tests , 2022, IEEE Access.
[79] Nazar Zaki,et al. AI applications in robotics, diagnostic image analysis and precision medicine: Current limitations, future trends, guidelines on CAD systems for medicine , 2021 .
[80] Sebastião Gobbi,et al. Physical exercise modulates peripheral levels of brain-derived neurotrophic factor (BDNF): a systematic review of experimental studies in the elderly. , 2013, Archives of gerontology and geriatrics.
[81] Rebecca C. Knickmeyer,et al. Longitudinal development of cortical and subcortical gray matter from birth to 2 years. , 2012, Cerebral cortex.