Evaluating the reliability of neurocognitive biomarkers of neurodegenerative diseases across countries: A machine learning approach
暂无分享,去创建一个
Dante R. Chialvo | Jeremi K. Ochab | Olivier Piguet | Jeremi K. Ochab | Lucas Sedeño | Agustín Ibáñez | Adolfo M. García | Eduar Herrera | Facundo Manes | Pablo Reyes | Diana Matallana | Fiona Kumfor | M. Belen Bachli | Teresa Torralva | María Roca | Juan Felipe Cardona | Cecilia Gonzalez Campo | Andrea Slachevsky | D. Chialvo | Eduar Herrera | F. Manes | A. Ibáñez | A. Slachevsky | L. Sedeño | T. Torralva | Adolfo M. García | P. Reyes | O. Piguet | F. Kumfor | M. Roca | D. Matallana | J. Cardona | C. G. Campo | M. B. Bachli | Lucas Sedeño
[1] N. Schuff,et al. Different regional patterns of cortical thinning in Alzheimer's disease and frontotemporal dementia. , 2006, Brain : a journal of neurology.
[2] C. Jack,et al. Temporoparietal atrophy: A marker of AD pathology independent of clinical diagnosis , 2011, Neurobiology of Aging.
[3] F. Manes,et al. Comparing the clinical usefulness of the Institute of Cognitive Neurology (INECO) Frontal Screening (IFS) and the Frontal Assessment Battery (FAB) in frontotemporal dementia , 2011, Journal of clinical and experimental neuropsychology.
[4] Juha Koikkalainen,et al. Five-class differential diagnostics of neurodegenerative diseases using random undersampling boosting , 2017, NeuroImage: Clinical.
[5] R. Castellani,et al. Alzheimer disease. , 2010, Disease-a-month : DM.
[6] D. Selkoe. Alzheimer's disease. , 2011, Cold Spring Harbor perspectives in biology.
[7] Jeroen van der Grond,et al. Alzheimer Disease and Behavioral Variant Frontotemporal Dementia: Automatic Classification Based on Cortical Atrophy for Single-Subject Diagnosis. , 2016, Radiology.
[8] S. Tabrizi,et al. Biomarkers for neurodegenerative diseases , 2005, Current opinion in neurology.
[9] D. Yang,et al. Clinical and Neuropsychological Comparisons of Early-Onset Versus Late-Onset Frontotemporal Dementia: A CREDOS-FTD Study. , 2015, Journal of Alzheimer's disease : JAD.
[10] Gengsheng Qin,et al. Comparison of non-parametric confidence intervals for the area under the ROC curve of a continuous-scale diagnostic test , 2008, Statistical methods in medical research.
[11] Lauge Sørensen,et al. Early detection of Alzheimer's disease using MRI hippocampal texture , 2016, Human brain mapping.
[12] Thomas E. Nichols,et al. Best practices in data analysis and sharing in neuroimaging using MRI , 2017, Nature Neuroscience.
[13] C. Witteman,et al. Decline of Executive Function in a Clinical Population: Age, Psychopathology, and Test Performance on the Cambridge Neuropsychological Test Automated Battery (CANTAB) , 2014, Applied neuropsychology. Adult.
[14] S. Cappa,et al. Brain connectivity in neurodegenerative diseases—from phenotype to proteinopathy , 2014, Nature Reviews Neurology.
[15] Vince D. Calhoun,et al. Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls , 2017, NeuroImage.
[16] John R. Hodges,et al. Validation of the Addenbrooke's Cognitive Examination III in Frontotemporal Dementia and Alzheimer's Disease , 2013, Dementia and Geriatric Cognitive Disorders.
[17] J. Trojanowski,et al. Biomarkers of neurodegeneration for diagnosis and monitoring therapeutics , 2007, Nature Reviews Drug Discovery.
[18] Nick C Fox,et al. Accuracy of dementia diagnosis—a direct comparison between radiologists and a computerized method , 2008, Brain : a journal of neurology.
[19] M. Frank,et al. Computational psychiatry as a bridge from neuroscience to clinical applications , 2016, Nature Neuroscience.
[20] Early detection of Alzheimer's disease. , 2002, The Harvard mental health letter.
[21] Facundo Manes,et al. A neuropsychological battery to detect specific executive and social cognitive impairments in early frontotemporal dementia. , 2009, Brain : a journal of neurology.
[22] Christian Humpel,et al. Identifying and validating biomarkers for Alzheimer's disease , 2011, Trends in biotechnology.
[23] Nick C Fox,et al. Clinical, genetic and pathological heterogeneity of frontotemporal dementia: a review , 2010, Journal of Neurology, Neurosurgery & Psychiatry.
[24] A. Mechelli,et al. Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: A critical review , 2012, Neuroscience & Biobehavioral Reviews.
[25] Nick C Fox,et al. Automatic classification of MR scans in Alzheimer's disease. , 2008, Brain : a journal of neurology.
[26] Karsten Mueller,et al. Combined Evaluation of FDG-PET and MRI Improves Detection and Differentiation of Dementia , 2011, PloS one.
[27] César F. Lima,et al. Assessing Executive Dysfunction in Neurodegenerative Disorders: A Critical Review of Brief Neuropsychological Tools , 2017, Front. Aging Neurosci..
[28] A. Mitchell,et al. A meta-analysis of the accuracy of the Addenbrooke's Cognitive Examination (ACE) and the Addenbrooke's Cognitive Examination-Revised (ACE-R) in the detection of dementia , 2013, International Psychogeriatrics.
[29] Kai Li,et al. Computational approaches to fMRI analysis , 2017, Nature Neuroscience.
[30] Marie Chupin,et al. Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging , 2009, NeuroImage.
[31] Karsten Mueller,et al. Meta-analysis based SVM classification enables accurate detection of Alzheimer's disease across different clinical centers using FDG-PET and MRI , 2013, Psychiatry Research: Neuroimaging.
[32] J. Hodges,et al. Lost and forgotten? Orientation versus memory in Alzheimer's disease and frontotemporal dementia. , 2012, Journal of Alzheimer's disease : JAD.
[33] C. Lima,et al. Examining Executive Dysfunction with the Institute of Cognitive Neurology (INECO) Frontal Screening (IFS): normative values from a healthy sample and clinical utility in Alzheimer's disease. , 2014, Journal of Alzheimer's disease : JAD.
[34] B. Borroni,et al. Overlap between frontotemporal dementia and Alzheimer's disease: cerebrospinal fluid pattern and neuroimaging study. , 2013, Journal of Alzheimer's disease : JAD.
[35] Norbert Schuff,et al. MRI Markers for Mild Cognitive Impairment: Comparisons between White Matter Integrity and Gray Matter Volume Measurements , 2013, PloS one.
[36] Christian Windischberger,et al. Toward discovery science of human brain function , 2010, Proceedings of the National Academy of Sciences.
[37] L. Mucke,et al. A network dysfunction perspective on neurodegenerative diseases , 2006, Nature.
[38] Daniel Fraiman,et al. Brain Network Organization and Social Executive Performance in Frontotemporal Dementia , 2016, Journal of the International Neuropsychological Society.
[39] 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.
[40] Nick C Fox,et al. Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia. , 2011, Brain : a journal of neurology.
[41] Nick C Fox,et al. Imaging cerebral atrophy: normal ageing to Alzheimer's disease , 2004, The Lancet.
[42] Facundo Manes,et al. Contextual social cognition and the behavioral variant of frontotemporal dementia , 2012, Neurology.
[43] Olivier Piguet,et al. Tackling variability: A multicenter study to provide a gold‐standard network approach for frontotemporal dementia , 2017, Human brain mapping.
[44] M. Filippi,et al. Multiparametric MRI to distinguish early onset Alzheimer's disease and behavioural variant of frontotemporal dementia , 2017, NeuroImage: Clinical.
[45] H. Amièva,et al. Evidencing inhibitory deficits in Alzheimer's disease through interference effects and shifting disabilities in the Stroop test. , 2004, Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists.
[46] Dana Ron,et al. Algorithmic Stability and Sanity-Check Bounds for Leave-one-Out Cross-Validation , 1997, COLT.
[47] Clifford R. Jack,et al. Effects of hardware heterogeneity on the performance of SVM Alzheimer's disease classifier , 2011, NeuroImage.
[48] A. Need,et al. A comparison of the Cambridge Automated Neuropsychological Test Battery (CANTAB) with “traditional” neuropsychological testing instruments , 2013, Journal of clinical and experimental neuropsychology.
[49] Yong Xia,et al. Automated identification of dementia using medical imaging: a survey from a pattern classification perspective , 2015, Brain Informatics.
[50] Facundo Manes,et al. Orbitofrontal and limbic signatures of empathic concern and intentional harm in the behavioral variant frontotemporal dementia , 2016, Cortex.
[51] Yu Zhang,et al. Linking white matter integrity loss to associated cortical regions using structural connectivity information in Alzheimer's disease and fronto-temporal dementia: The Loss in Connectivity (LoCo) score , 2012, NeuroImage.
[52] J. Gold,et al. The neural basis of decision making. , 2007, Annual review of neuroscience.
[53] Pablo López,et al. INECO Frontal Screening (IFS): A brief, sensitive, and specific tool to assess executive functions in dementia–CORRECTED VERSION , 2009, Journal of the International Neuropsychological Society.
[54] C. Cotman,et al. Clinical and pathological evidence for a frontal variant of Alzheimer disease. , 1999, Archives of neurology.
[55] S. Baez,et al. Dementia in Latin America , 2018, Neurology.
[56] J. Morris,et al. The diagnosis of dementia due to 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.
[57] J. Hodges,et al. Behavioural-variant frontotemporal dementia: diagnosis, clinical staging, and management , 2011, The Lancet Neurology.
[58] Matthew L Senjem,et al. Distinct anatomical subtypes of the behavioural variant of frontotemporal dementia: a cluster analysis study. , 2009, Brain : a journal of neurology.
[59] Jennifer Farmer,et al. Frontotemporal dementia: Clinicopathological correlations , 2006, Annals of neurology.
[60] John R Hodges,et al. A Comparison of the Addenbrooke's Cognitive Examination (ACE), Conventional Neuropsychological Assessment, and Simple MRI-Based Medial Temporal Lobe Evaluation in the Early Diagnosis of Alzheimer's Disease , 2005, Cognitive and behavioral neurology : official journal of the Society for Behavioral and Cognitive Neurology.
[61] Sang Won Seo,et al. Anatomical heterogeneity of Alzheimer disease , 2014, Neurology.
[62] N. Tzourio-Mazoyer,et al. Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain , 2002, NeuroImage.
[63] Facundo Manes,et al. Brain structural correlates of executive and social cognition profiles in behavioral variant frontotemporal dementia and elderly bipolar disorder , 2017, Neuropsychologia.
[64] J. Lindesay,et al. Review of brief cognitive tests for patients with suspected dementia , 2014, International Psychogeriatrics.
[65] M. Sigman,et al. First Symptoms and Neurocognitive Correlates of Behavioral Variant Frontotemporal Dementia. , 2016, Journal of Alzheimer's disease : JAD.
[66] J P Kassirer,et al. What is a differential diagnosis? , 1990, Hospital practice.
[67] P. Bosco,et al. Brain atrophy in Alzheimer’s Disease and aging , 2016, Ageing Research Reviews.
[68] S. Baez,et al. Evaluation of the INECO Frontal Screening and the Frontal Assessment Battery in Peruvian patients with Alzheimer's disease and behavioral variant Frontotemporal dementia , 2016, eNeurologicalSci.
[69] Philipp Kanske,et al. Integration of Intention and Outcome for Moral Judgment in Frontotemporal Dementia: Brain Structural Signatures , 2016, Neurodegenerative Diseases.
[70] J. Decety,et al. Primary empathy deficits in frontotemporal dementia , 2014, Front. Aging Neurosci..
[71] Trevor Hastie,et al. An Introduction to Statistical Learning , 2013, Springer Texts in Statistics.
[72] Jennifer H Barnett,et al. The Paired Associates Learning (PAL) Test: 30 Years of CANTAB Translational Neuroscience from Laboratory to Bedside in Dementia Research. , 2016, Current topics in behavioral neurosciences.
[73] H. van Crevel. [Diagnosis in dementia]. , 1987, Nederlandsch tijdschrift voor geneeskunde.
[74] E. DeLong,et al. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. , 1988, Biometrics.
[75] Junming Shao,et al. Based on the Network Degeneration Hypothesis: Separating Individual Patients with Different Neurodegenerative Syndromes in a Preliminary Hybrid PET/MR Study , 2016, The Journal of Nuclear Medicine.
[76] H. Johnson,et al. A comparison of 'traditional' and multimedia information systems development practices , 2003, Inf. Softw. Technol..
[77] M. Carrillo,et al. Research priorities to reduce the global burden of dementia by 2025 , 2016, The Lancet Neurology.
[78] Olivier Piguet,et al. Eating and hypothalamus changes in behavioral-variant frontotemporal dementia , 2011, Annals of neurology.
[79] Neil P. Oxtoby,et al. Imaging plus X: multimodal models of neurodegenerative disease , 2017, Current opinion in neurology.
[80] Frederik Barkhof,et al. The behavioural/dysexecutive variant of Alzheimer's disease: clinical, neuroimaging and pathological features. , 2015, Brain : a journal of neurology.
[81] Efstathios D. Gennatas,et al. Divergent network connectivity changes in behavioural variant frontotemporal dementia and Alzheimer's disease. , 2010, Brain : a journal of neurology.
[82] Daniel Fraiman,et al. Towards affordable biomarkers of frontotemporal dementia: A classification study via network’s information sharing , 2017, Scientific Reports.
[83] L. Ungar,et al. The power of neuroimaging biomarkers for screening frontotemporal dementia , 2014, Human brain mapping.
[84] G. Frisoni,et al. Functional network disruption in the degenerative dementias , 2011, The Lancet Neurology.
[85] Rebecca M. E. Steketee,et al. Multiparametric computer-aided differential diagnosis of Alzheimer’s disease and frontotemporal dementia using structural and advanced MRI , 2016, European Radiology.
[86] M. Yassuda,et al. The Accuracy of INECO Frontal Screening in the Diagnosis of Executive Dysfunction in Frontotemporal Dementia and Alzheimer Disease , 2018, Alzheimer disease and associated disorders.
[87] M W Weiner,et al. Evaluation of treatment effects in Alzheimer's and other neurodegenerative diseases by MRI and MRS , 2006, NMR in biomedicine.
[88] Bilwaj Gaonkar,et al. Feature ranking based nested support vector machine ensemble for medical image classification , 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).
[89] D. Yves von Cramon,et al. Towards a nosology for frontotemporal lobar degenerations—A meta-analysis involving 267 subjects , 2007, NeuroImage.
[90] Tom Fawcett,et al. An introduction to ROC analysis , 2006, Pattern Recognit. Lett..
[91] S. Rombouts,et al. Automatic classification of AD and bvFTD based on cortical atrophy for single-subject diagnosis , 2015 .
[92] P. S. Mathuranath,et al. A brief cognitive test battery to differentiate Alzheimer's disease and frontotemporal dementia , 2000, Neurology.
[93] Juha Koikkalainen,et al. Differential diagnosis of neurodegenerative diseases using structural MRI data , 2016, NeuroImage: Clinical.
[94] Agustín Ibáñez,et al. Your perspective and my benefit: multiple lesion models of self-other integration strategies during social bargaining. , 2016, Brain : a journal of neurology.
[95] M. Sigman,et al. A lesion model of envy and Schadenfreude: legal, deservingness and moral dimensions as revealed by neurodegeneration , 2017, Brain : a journal of neurology.
[96] C. Semenza,et al. Executive deficits appearing in the initial stage of alzheimer's disease , 2001, Brain and Cognition.
[97] Jonathan J. Evans,et al. A systematic review of the accuracy and clinical utility of the Addenbrooke's Cognitive Examination and the Addenbrooke's Cognitive Examination—Revised in the diagnosis of dementia , 2011, International journal of geriatric psychiatry.
[98] M. Sigman,et al. The Neural Basis of Decision-Making and Reward Processing in Adults with Euthymic Bipolar Disorder or Attention-Deficit/Hyperactivity Disorder (ADHD) , 2012, PloS one.
[99] C. Muñoz-Neira,et al. Chilean version of the INECO Frontal Screening (IFS-Ch): psychometric properties and diagnostic accuracy , 2013, Dementia & neuropsychologia.
[100] M. Prince,et al. World Alzheimer Report 2015 - The Global Impact of Dementia: An analysis of prevalence, incidence, cost and trends , 2015 .
[101] G. Kaubrys,et al. Distinctive Pattern of Cognitive Disorders During Multiple Sclerosis Relapse and Recovery Based on Computerized CANTAB Tests , 2019, Front. Neurol..
[102] Clifford R. Jack,et al. Diagnostic neuroimaging across diseases , 2011, NeuroImage.
[103] P. Battista,et al. Frontiers for the Early Diagnosis of AD by Means of MRI Brain Imaging and Support Vector Machines. , 2016, Current Alzheimer research.
[104] R. Raizada,et al. Identify a shared neural circuit linking multiple neuropsychiatric symptoms with Alzheimer’s pathology , 2019, Brain Imaging and Behavior.
[105] T. Chan,et al. Independent component analysis-based classification of Alzheimer's disease MRI data. , 2011, Journal of Alzheimer's disease : JAD.
[106] David Huepe,et al. Comparing moral judgments of patients with frontotemporal dementia and frontal stroke. , 2014, JAMA neurology.