160 results match your criteria: "Wien Center[Affiliation]"
A clinically-translatable machine learning algorithm for the prediction of Alzheimer's disease conversion: further evidence of its accuracy via a transfer learning approach.
Int Psychogeriatr
July 2019
Department of Clinical Neurosciences, Hermanas Hospitalarias, Villa San Benedetto Menni Hospital, FoRiPsi, Albese con Cassano, Como, Italy.
Background: In a previous study, we developed a highly performant and clinically-translatable machine learning algorithm for a prediction of three-year conversion to Alzheimer's disease (AD) in subjects with Mild Cognitive Impairment (MCI) and Pre-mild Cognitive Impairment. Further tests are necessary to demonstrate its accuracy when applied to subjects not used in the original training process. In this study, we aimed to provide preliminary evidence of this via a transfer learning approach.
View Article and Find Full Text PDFSex and age interact to determine clinicopathologic differences in Alzheimer's disease.
Acta Neuropathol
December 2018
Departments of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA.
Women reportedly make up two-thirds of Alzheimer's disease (AD) dementia sufferers. Many estimates regarding AD, however, are based on clinical series lacking autopsy confirmation. The Florida Autopsied Multi-Ethnic (FLAME) cohort was queried for AD cases with a total of 1625 identified ranging in age from 53 to 102 years at death.
View Article and Find Full Text PDFUtilizing semantic intrusions to identify amyloid positivity in mild cognitive impairment.
Neurology
September 2018
From the Center on Aging (D.A.L., R.E.C.) and Department of Psychiatry and Behavioral Sciences (D.A.L., R.E.C.), University of Miami Miller School of Medicine; Wien Center for Alzheimer's Disease and Memory Disorders (D.A.L., A.P., W.W.B., S.G., M.T.G.-C., R.D.), Mount Sinai Medical Center, Miami Beach; McKnight Brain Institute (S.D.), Department of Neurology (S.D., R.D.), Department of Clinical and Health Psychology (R.M.B.), Center for Translational Research in Neurodegenerative Diseases (T.G.), and Clinical and Translational Science Institute (K.S.H., M.M.), University of Florida, Gainesville; Department of Psychology (M.R.), Florida Atlantic University, Boca Raton; FLENI Foundation (S.M.G.), University of Buenos Aires Schools of Medicine and Psychology, Argentina; Department of Electrical and Computer Engineering (M.A., C.L., G.L.), College of Engineering and Computing, Florida International University Center for Advanced Technology and Education; and Herbert Wertheim College of Medicine (R.D.), Florida International University, Miami.
Objective: Semantic intrusion (SI) errors may highlight specific breakdowns in memory associated with preclinical Alzheimer disease (AD); however, there have been no investigations to determine whether SI errors occur with greater frequency in persons with amnestic mild cognitive impairment (aMCI) confirmed as amyloid positive (Amy+) vs those who have clinical symptoms of aMCI-AD with negative amyloid scans (suspected non-AD pathology [SNAP]) or persons who are diagnosed with other brain disorders affecting cognition.
Methods: Eighty-eight participants with aMCI underwent brain amyloid PET and MRI scans and were classified as early AD (Amy+), SNAP (Amy-), or other neurological/psychiatric diagnosis (Amy-). We focused on SI on the Loewenstein-Acevedo Scales for Semantic Interference and Learning (LASSI-L) targeting proactive semantic interference (PSI; old semantic learning interferes with new semantic learning), failure to recover from PSI after an additional learning trial (frPSI), and retroactive semantic interference (new semantic learning interferes with memory for old semantic learning).
Impact of Amyloid PET Imaging in the Memory Clinic: A Systematic Review and Meta-Analysis.
J Alzheimers Dis
June 2019
Department of Neurology, McKnight Brain Institute, University of Florida, Gainesville, FL, USA.
Background: Patients with cognitive impairment or dementias of uncertain etiology are frequently referred to a memory disorders specialty clinic. The impact of and role for amyloid PET imaging (Aβ-PET) may be most appropriate in this clinical setting.
Objective: The primary objective of this study was to perform a systematic review and meta-analysis of the impact of Aβ-PET on etiological diagnosis and clinical management in the memory clinic setting.
Use of Flutemetamol F 18-Labeled Positron Emission Tomography and Other Biomarkers to Assess Risk of Clinical Progression in Patients With Amnestic Mild Cognitive Impairment.
JAMA Neurol
September 2018
Glasgow Memory Clinic, Glasgow, United Kingdom.
Importance: Patients with amnestic mild cognitive impairment (aMCI) may progress to clinical Alzheimer disease (AD), remain stable, or revert to normal. Earlier progression to AD among patients who were β-amyloid positive vs those who were β-amyloid negative has been previously observed. Current research now accepts that a combination of biomarkers could provide greater refinement in the assessment of risk for clinical progression.
View Article and Find Full Text PDFGaussian Discriminant Analysis for Optimal Delineation of Mild Cognitive Impairment in Alzheimer's Disease.
Int J Neural Syst
October 2018
* Center for Advanced Technology and Education (CATE), Florida International University, 10555 W Flagler St., Miami, Florida 33174, USA.
Over the past few years, several approaches have been proposed to assist in the early diagnosis of Alzheimer's disease (AD) and its prodromal stage of mild cognitive impairment (MCI). Using multimodal biomarkers for this high-dimensional classification problem, the widely used algorithms include Support Vector Machines (SVM), Sparse Representation-based classification (SRC), Deep Belief Networks (DBN) and Random Forest (RF). These widely used algorithms continue to yield unsatisfactory performance for delineating the MCI participants from the cognitively normal control (CN) group.
View Article and Find Full Text PDFSemantic Intrusions and Failure to Recover From Semantic Interference in Mild Cognitive Impairment: Relationship to Amyloid and Cortical Thickness.
Curr Alzheimer Res
August 2019
Wien Center for Alzheimer's Disease and Memory Disorders, Mount Sinai Medical Center, Miami Beach, Florida, FL, United States.
Background: Accumulating evidence indicates that the failure to recover from the effects of proactive semantic interference [frPSI] represents an early cognitive manifestation of preclinical Alzheimer's disease. A limitation of this novel paradigm has been a singular focus on the number of targets correctly recalled, without examining co-occurring semantic intrusions [SI] that may highlight specific breakdowns in memory.
Objectives: We focused on SI and their relationship to amyloid load and regional cortical thickness among persons with amnestic mild cognitive impairment (aMCI).
A Neuroimaging Web Services Interface as a Cyber Physical System for Medical Imaging and Data Management in Brain Research: Design Study.
JMIR Med Inform
April 2018
Center for Advanced Technology and Education, Computer Science, Florida International University, Miami, FL, United States.
Background: Structural and functional brain images are essential imaging modalities for medical experts to study brain anatomy. These images are typically visually inspected by experts. To analyze images without any bias, they must be first converted to numeric values.
View Article and Find Full Text PDF18F-florbetapir Positron Emission Tomography-determined Cerebral β-Amyloid Deposition and Neurocognitive Performance after Cardiac Surgery.
Anesthesiology
April 2018
From the Department of Anesthesiology (R.Y.K., T.B., M.B., N.T., M.F.N., J.P.M.), Department of Radiology (O.G.J., S.B.-N.), Department of Biostatistics and Bioinformatics (Y.-J.L., W.Q.), and the Department of Psychiatry and Behavioral Science (P.M.D.), Duke University, Durham, North Carolina. University of California, San Francisco University of Southern California University of California, San Francisco University of Southern California Mayo Clinic, Rochester Mayo Clinic, Rochester University of California, Berkeley University of Pennsylvania University of Southern California University of California, Davis Brigham and Women's Hospital/Harvard Medical School Indiana University Washington University St. Louis University of Pennsylvania Prevent Alzheimer's Disease 2020 (Chair) Siemens Alzheimer's Association University of Pittsburgh Washington University St. Louis Cornell University Albert Einstein College of Medicine of Yeshiva University AD Drug Discovery Foundation Acumen Pharmaceuticals Washington University St. Louis Northwestern University National Institute of Mental Health Brown University Eli Lilly (Chair) BWH/HMS (Chair) University of Washington (Chair) Mayo Clinic, Rochester (Core Principal Investigator) University of Southern California University of California, San Diego University of California, San Diego University of California, San Diego University of California, San Diego University of California, San Diego University of California, San Diego University of California, San Diego University of California, San Diego University of California, San Diego University of California, Davis (Core Principal Investigator) University of California, Davis University of California, San Diego Mayo Clinic, Rochester (Core Principal Investigator) Mayo Clinic, Rochester University of London University of California, Los Angeles School of Medicine University of California, San Francisco Magnetic Resonance Imaging University of California, Davis Mayo Clinic Mayo Clinic Mayo Clinic Mayo Clinic Mayo Clinic Mayo Clinic Mayo Clinic University of California, Berkeley (Core Principal Investigator) University of Michigan University of Utah Banner Alzheimer's Institute Banner Alzheimer's Institute University of Pittsburgh University of California, Berkeley Washington 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University of Michigan University of Utah Banner Alzheimer's Institute Banner Alzheimer's Institute Senjem Berkeley Washington University, St. Louis Washington University, St. Louis Washington University, St. Louis Perelman School of Medicine, University of Pennsylvania Perelman School of Medicine, University of Pennsylvania Perelman School of Medicine, University of Pennsylvania Perelman School of Medicine, University of Pennsylvania Perelman School of Medicine, University of Pennsylvania University of Southern California (Core Principal Investigator) University of Southern California University of Southern California Indiana University Indiana University University of California, Irvine Indiana University Indiana University Indiana University Indiana University University of California, San Francisco Department of Defense (retired) University of Southern California University of Southern California University of Southern California University of California, San Diego University of 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Background: Amyloid deposition is a potential contributor to postoperative cognitive dysfunction. The authors hypothesized that 6-week global cortical amyloid burden, determined by F-florbetapir positron emission tomography, would be greater in those patients manifesting cognitive dysfunction at 6 weeks postoperatively.
Methods: Amyloid deposition was evaluated in cardiac surgical patients at 6 weeks (n = 40) and 1 yr (n = 12); neurocognitive function was assessed at baseline (n = 40), 6 weeks (n = 37), 1 yr (n = 13), and 3 yr (n = 9).
A Clinically-Translatable Machine Learning Algorithm for the Prediction of Alzheimer's Disease Conversion in Individuals with Mild and Premild Cognitive Impairment.
J Alzheimers Dis
January 2019
Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, FL, USA.
Background: Available therapies for Alzheimer's disease (AD) can only alleviate and delay the advance of symptoms, with the greatest impact eventually achieved when provided at an early stage. Thus, early identification of which subjects at high risk, e.g.
View Article and Find Full Text PDFPerformance of [F]flutemetamol amyloid imaging against the neuritic plaque component of CERAD and the current (2012) NIA-AA recommendations for the neuropathologic diagnosis of Alzheimer's disease.
Alzheimers Dement (Amst)
July 2017
Compass Research, Orlando, FL, USA.
Introduction: Performance of the amyloid tracer [F]flutemetamol was evaluated against three pathology standard of truth (SoT) measures including neuritic plaques (CERAD "original" and "modified" and the amyloid component of the 2012 NIA-AA guidelines).
Methods: After [F]flutemetamol imaging, 106 end-of-life patients who died underwent postmortem brain examination for amyloid plaque load. Blinded positron emission tomography scan interpretations by five independent electronically trained readers were compared with pathology measures.
The Relationship of Brain Amyloid Load and APOE Status to Regional Cortical Thinning and Cognition in the ADNI Cohort.
J Alzheimers Dis
April 2018
Center for Advanced Technology and Education, Department of Electrical and Computer Engineering, Florida International University, Miami, FL, USA.
Background: Both amyloid (Aβ) load and APOE4 allele are associated with neurodegenerative changes in Alzheimer's disease (AD) prone regions and with risk for cognitive impairment.
Objective: To evaluate the unique and independent contribution of APOE4 allele status (E4+∖E4-), Aβ status (Amy+∖Amy-), and combined APOE4 and Aβ status on regional cortical thickness (CoTh) and cognition among participants diagnosed as cognitively normal (CN, n = 251), early mild cognitive impairment (EMCI, n = 207), late mild cognitive impairment (LMCI, n = 196), and mild AD (n = 162) from the ADNI.
Methods: A series of two-way ANCOVAs with post-hoc Tukey HSD tests, controlling independently for Aβ and APOE4 status and age were examined.
Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer's disease.
Nat Genet
September 2017
Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Article Synopsis
- * Our research uncovered three significant variants: a protective variant in the PLCG2 gene and risk variants in ABI3 and TREM2, known for their roles in Alzheimer's susceptibility.
- * The findings emphasize the importance of microglia, immune cells in the brain, suggesting that their genetic variations may contribute directly to the progression of Alzheimer's disease.
Recovery from Proactive Semantic Interference and MRI Volume: A Replication and Extension Study.
J Alzheimers Dis
April 2018
Wien Center for Alzheimer's Disease and Memory Disorders Mount Sinai Medical Center, Miami Beach, FL, USA.
Background: The rise in incidence of Alzheimer's disease (AD) has led to efforts to advance early detection of the disease during its preclinical stages. To achieve this, the field needs to develop more sensitive cognitive tests that relate to biological markers of disease pathology. Failure to recover from proactive interference (frPSI) is one such cognitive marker that is associated with volumetric reductions in the hippocampus, precuneus, and other AD-prone regions, and to amyloid load in the brain.
View Article and Find Full Text PDFAfrican American exome sequencing identifies potential risk variants at Alzheimer disease loci.
Neurol Genet
April 2017
Department of Neuroscience (A.N., M.M.C., J.D.B., T.N., S.G.Y., M.A., N.E.-T.), Department of Health Science Research (X.W., Y.W.A., D.J.S.), Department of Psychiatry and Psychology (O.P.), and Department of Neurology (N.R.G.-R., N.E.-T.), Mayo Clinic, Jacksonville; and Wien Center for Alzheimer's Disease and Memory Disorders (R.D., M.T.G.C.), Mount Sinai Medical Center, Miami Beach, FL.
Objective: In African Americans, we sought to systematically identify coding Alzheimer disease (AD) risk variants at the previously reported AD genome-wide association study (GWAS) loci genes.
Methods: We identified coding variants within genes at the 20 published AD GWAS loci by whole-exome sequencing of 238 African American participants, validated these in 300 additional participants, and tested their association with AD risk in the combined cohort of 538 and with memory endophenotypes in 319 participants.
Results: Two missense variants (rs3764647 and rs3752239) demonstrated significant association with AD risk.
Adding Recognition Discriminability Index to the Delayed Recall Is Useful to Predict Conversion from Mild Cognitive Impairment to Alzheimer's Disease in the Alzheimer's Disease Neuroimaging Initiative.
Front Aging Neurosci
March 2017
Author Affiliations: UC San Francisco; University of Southern California; UC San Francisco University of Southern California Mayo Clinic, Rochester Mayo Clinic, Rochester; UC Berkeley; U Pennsylvania; USC; UC Davis; Brigham and Women's Hospital/Harvard Medical School Indiana University Washington University St. Louis University of Pennsylvania; Prevent Alzheimer's Disease 2020 (Chair) Siemens; Alzheimer's Association University of Pittsburgh Washington University St. Louis Cornell University; Albert Einstein College of Medicine of Yeshiva University; AD Drug Discovery Foundation; Acumen Pharmaceuticals; Washington University St. Louis; Northwestern University; National Institute of Mental Health; Brown University; Eli Lilly (Chair); BWH/HMS (Chair); University of Washington (Chair); Mayo Clinic, Rochester (Core PI) University of Southern California; UC San Diego; UC San Diego; UC San Diego; UC San Diego; UC San Diego; UC San Diego; UC San Diego; UC San Diego; UC San Diego; UC Davis (Core PI); UC Davis; UC San Diego; Mayo Clinic, Rochester (Core PI); Mayo Clinic, Rochester; University of London; UCLA School of Medicine; UCSF MRI; UC Davis; Mayo Clinic; Mayo Clinic; Mayo Clinic; Mayo Clinic; Mayo Clinic; Mayo Clinic; Mayo Clinic; UC Berkeley (Core PI); University of Michigan; University of Utah; Banner Alzheimer's Institute; Banner Alzheimer's Institute; University of Pittsburgh; UC Berkeley; Washington University St. Louis; Washington University St. Louis; Washington University St. Louis; Washington University St. Louis; UPenn School of Medicine; UPenn School of Medicine; UPenn School of Medicine; UPenn School of Medicine; UPenn School of Medicine; USC (Core PI); USC; USC; Indiana University; Indiana University; UC Irvine; Indiana University; Indiana University; Indiana University; Indiana University; UC San Francisco; UC San Diego; Prevent Alzheimer's Disease 2020; UC San Diego; National Institute on Aging; UC San Francisco; Brown University; National Institute of Mental Health; Cornell University; Johns Hopkins University; Richard Frank Consulting; Prevent Alzheimer's Disease 2020; National Institute on Aging; Oregon Health & Science University; University of Southern California; University of California - San Diego; University of Michigan; Mayo Clinic, Rochester; Baylor College of Medicine; Columbia University Medical Center; Washington University, St. Louis; University of Alabama - Birmingham; Mount Sinai School of Medicine; Rush University Medical Center; Wien Center; Johns Hopkins University; New York University; Duke University Medical Center; University of Pennsylvania; University of Kentucky; University of Pittsburgh; University of Rochester Medical Center; University of California, Irvine; University of Texas Southwestern Medical School; Emory University; University of Kansas, Medical Center; University of California, Los Angeles; Mayo Clinic, Jacksonville; Indiana University; Yale University School of Medicine; McGill Univ., Montreal-Jewish General Hospital; Sunnybrook Health Sciences, Ontario; U.B.C. Clinic for AD & Related Disorders; Cognitive Neurology - St. Joseph's, Ontario; Cleveland Clinic Lou Ruvo Center for Brain Health; Northwestern University; Premiere Research Inst (Palm Beach Neurology); Georgetown University Medical Center; Brigham and Women's Hospital; Stanford University; Banner Sun Health Research Institute; Boston University; Howard University; Case Western Reserve University; University of California, Davis - Sacramento; Neurological Care of CNY; Parkwood Hospital; University of Wisconsin; University of California, Irvine - BIC; Banner Alzheimer's Institute; Dent Neurologic Institute; Ohio State University; Albany Medical College; Hartford Hospital, Olin Neuropsychiatry Research Center; Dartmouth-Hitchcock Medical Center; Wake Forest University Health Sciences; Rhode Island Hospital; Butler Hospital; UC San Francisco; Medical University South Carolina; St. Joseph's Health Care; Nathan Kline Institute; University of Iowa College of Medicine; Cornell University; University of South Florida: USF Health Byrd Alzheimer's Institute; University of California, San Francisco; University of Southern California; UC San Francisco; University of Southern California; Mayo Clinic, Rochester; Brigham and Women's Hospital/ Harvard Medical School; UC Davis; Mayo Clinic, Rochester; UC Berkeley; Washington University St. Louis; Indiana University; Perelman School of Medicine, UPenn; USC; Perelman School of Medicine, University of Pennsylvania; UC San Francisco; Rehabilitation Institute of Chicago, Feinberg School of Medicine, Northwestern University; BWH/HMS (Chair); University of Washington (Chair); Core PI; Mayo Clinic, Rochester (Core PI); University of Southern California; UC San Diego; UC San Diego; UC San Diego; UC San Diego; UC San Diego; UC San Diego; UC San Diego; UC San Francisco; UC San Francisco; UC San Francisco; UC Davis (Core PI); UC San Diego; Mayo Clinic, Rochester (Core PI); Mayo Clinic, Rochester; Mayo Clinic; Mayo Clinic; Mayo Clinic; Mayo Clinic; Mayo Clinic; UC Berkeley (Core PI); University of Michigan; University of Utah; Banner Alzheimer's Institute; Banner Alzheimer's Institute; UC Berkeley; Washington University St. Louis; Washington University St. Louis; Washington University St. Louis; Perelman School of Medicine, UPenn; Perelman School of Medicine, UPenn; Perelman School of Medicine, UPenn; Perelman School of Medicine, UPenn; Perelman School of Medicine, UPenn; USC (Core PI); USC; USC; Indiana University; Indiana University; UC Irvine; Indiana University; Indiana University; Indiana University; Indiana University; UC San Francisco; Department of Defense (retired); University of Southern California; University of California, San Diego; Columbia University Medical Center; Rush University Medical Center; Wien Center; Duke University Medical Center; University of Rochester Medical Center; University of California, Irvine; Medical University South Carolina; Premiere Research Inst (Palm Beach Neurology); University of California, San Francisco; Georgetown University Medical Center; Brigham and Women's Hospital; Banner Sun Health Research Institute; Howard University; University of Wisconsin; University of Washington; Stanford University; Cornell University.
Ongoing research is focusing on the identification of those individuals with mild cognitive impairment (MCI) who are most likely to convert to Alzheimer's disease (AD). We investigated whether recognition memory tasks in combination with delayed recall measure of episodic memory and CSF biomarkers can predict MCI to AD conversion at 24-month follow-up. A total of 397 amnestic-MCI subjects from Alzheimer's disease Neuroimaging Initiative were included.
View Article and Find Full Text PDFComprehensive Screening for Disease Risk Variants in Early-Onset Alzheimer's Disease Genes in African Americans Identifies Novel PSEN Variants.
J Alzheimers Dis
February 2018
Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA.
We conducted a comprehensive screening of rare coding variants in an African American cohort to identify novel pathogenic mutations within the early-onset Alzheimer's disease (EOAD) genes (APP, PSEN1, and PSEN2) in this understudied population. Whole-exome sequencing of 238 African American subjects identified 6 rare missense variants within the EOAD genes, which were observed in AD cases but never among controls. These variants were analyzed in an independent cohort of 300 African American subjects in which PSEN2:NM_000447:exon5:c.
View Article and Find Full Text PDFRecovery from Proactive Semantic Interference in Mild Cognitive Impairment and Normal Aging: Relationship to Atrophy in Brain Regions Vulnerable to Alzheimer's Disease.
J Alzheimers Dis
February 2018
Wien Center for Alzheimer's Disease and Memory Disorders Mount Sinai Medical Center, Miami Beach, FL, USA.
Background: There is growing evidence that proactive semantic interference (PSI) and failure to recover from PSI may represent early features of Alzheimer's disease (AD).
Objective: This study investigated the association between PSI, recovery from PSI, and reduced MRI volumes in AD signature regions among cognitively impaired and unimpaired older adults.
Methods: Performance on the LASSI-L (a novel test of PSI and recovery from PSI) and regional brain volumetric measures were compared between 38 cognitively normal (CN) elders and 29 older participants with amnestic mild cognitive impairment (MCI).
A Brief Computerized Paired Associate Test for the Detection of Mild Cognitive Impairment in Community-Dwelling Older Adults.
J Alzheimers Dis
September 2016
Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, USA.
Background: Semantic memory interference has been found to be a predictive cognitive marker of incipient AD. This is relevant given that developing assessment paradigms to identify subtle cognitive and functional deficits is a priority in preclinical Alzheimer's disease research.
Objective: To examine the utility of a novel computerized paired associate test in distinguishing between mild cognitive impairment (MCI) and cognitively normal (CN) groups of older adults residing in the community.
A Novel Cognitive Stress Test for the Detection of Preclinical Alzheimer Disease: Discriminative Properties and Relation to Amyloid Load.
Am J Geriatr Psychiatry
October 2016
Wien Center for Alzheimer's Disease and Memory Disorders, Mount Sinai Medical Center, Miami Beach, FL; Wien Center for Alzheimer's Disease and Memory Disorders, Mount Sinai Medical Center, Gainesville, FL; Department of Neurology, University of Florida, Gainesville, FL; Department of Neurology, Florida International University, Miami, FL.
Objective: To examine the utility of a novel "cognitive stress test" to detect subtle cognitive impairments and amyloid load within the brains of neuropsychologically normal community-dwelling elders.
Methods: Participants diagnosed as cognitively normal (CN), subjective memory impairment (SMI), mild cognitive impairment (MCI), and preclinical mild cognitive impairment (PreMCI) were administered the Loewenstein-Acevedo Scale for Semantic Interference and Learning (LASSI-L), a sensitive test of proactive semantic interference (PSI), retroactive semantic interference, and, uniquely, the ability to recover from the effects of PSI. Ninety-three subjects (31 men and 62 women) were recruited from three academic institutions in a research consortium.
The presenilin 1 p.Gly206Ala mutation is a frequent cause of early-onset Alzheimer's disease in Hispanics in Florida.
Am J Neurodegener Dis
April 2016
Department of Neuroscience, Mayo Clinic Jacksonville, FL, 32224 USA.
Mutations in the gene encoding the presenilin-1 protein (PSEN1) were first discovered to cause Alzheimer's disease (AD) 20 years ago. Since then more than 200 different pathogenic mutations have been reported, including a p.Gly206Ala founder mutation in the Hispanic population.
View Article and Find Full Text PDFProactive Semantic Interference is Associated with Total and Regional Abnormal Amyloid Load in Non-Demented Community-Dwelling Elders: A Preliminary Study.
Am J Geriatr Psychiatry
December 2015
Wien Center for Alzheimer's Disease and Memory Disorders, Mount Sinai Medical Center, Miami Beach, FL; Department of Medicine, Miller School of Medicine, University of Miami, Miami, FL; Department of Neurology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL.
Objective: To evaluate the relationship between susceptibility to proactive semantic interference (PSI) and retroactive semantic interference (RSI) and brain amyloid load in non-demented elders.
Methods: 27 participants (11 cognitively normal [CN] with subjective memory complaints, 8 CN without memory complaints, and 8 with mild cognitive impairment [MCI]) underwent complete neurological and neuropsychological evaluations. Participants also received the Semantic Interference Test (SIT) and AV-45 amyloid PET imaging.
Inclusion of Neuropsychological Scores in Atrophy Models Improves Diagnostic Classification of Alzheimer's Disease and Mild Cognitive Impairment.
Comput Intell Neurosci
January 2016
Center for Advanced Technology and Education, Department of Electrical and Computer Engineering, Florida International University, Miami, FL, USA.
Brain atrophy in mild cognitive impairment (MCI) and Alzheimer's disease (AD) are difficult to demarcate to assess the progression of AD. This study presents a statistical framework on the basis of MRI volumes and neuropsychological scores. A feature selection technique using backward stepwise linear regression together with linear discriminant analysis is designed to classify cognitive normal (CN) subjects, early MCI (EMCI), late MCI (LMCI), and AD subjects in an exhaustive two-group classification process.
View Article and Find Full Text PDFPhase 3 trial of flutemetamol labeled with radioactive fluorine 18 imaging and neuritic plaque density.
JAMA Neurol
March 2015
Department of Neurology and the Memory and Aging Program, Butler Hospital, Providence, Rhode Island30Department of Neurology and Psychiatry, Warren Alpert Medical School, Providence, Rhode Island31Brown University, Providence, Rhode Island.
Article Synopsis
- In vivo imaging of brain β-amyloid can help assess suspected Alzheimer's disease.
- The study evaluated the effectiveness of positron emission tomography (PET) with flutemetamol injection for detecting β-amyloid by using actual neuritic plaque levels as a benchmark.
- Conducted at multiple sites in the U.S. and England, the study involved terminally ill patients aged 55 and older, focusing on the accuracy of PET scans in identifying β-amyloid presence prior to their autopsy.
Effects of multiple genetic loci on age at onset in late-onset Alzheimer disease: a genome-wide association study.
JAMA Neurol
November 2014
Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois.
Article Synopsis
- The study investigates how known genetic risk factors for late-onset Alzheimer disease (LOAD) influence the age at which symptoms appear in affected individuals, particularly focusing on the APOE locus and other established risk loci.
- Researchers utilized data from the Alzheimer Disease Genetics Consortium, analyzing 9,162 patients over several years, to determine the cumulative effects of these genetic factors on age at onset (AAO) of LOAD.
- Results indicated that variants at the APOE locus are strongly associated with earlier onset of Alzheimer’s symptoms, with other loci like CR1, BIN1, and PICALM showing statistically significant effects as well, together explaining a portion of the AAO variation.