Suchergebnisse - "Wolk, David A."

Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan von Pomponio, Raymond, Erus, Guray, Habes, Mohamad, Doshi, Jimit, Srinivasan, Dhivya, Mamourian, Elizabeth, Bashyam, Vishnu, Nasrallah, Ilya M., Satterthwaite, Theodore D., Fan, Yong, Launer, Lenore J., Masters, Colin L., Maruff, Paul, Zhuo, Chuanjun, Völzke, Henry, Johnson, Sterling C., Fripp, Jurgen, Koutsouleris, Nikolaos, Wolf, Daniel H., Gur, Raquel, Gur, Ruben, Morris, John, Albert, Marilyn S., Grabe, Hans J., Resnick, Susan M., Bryan, R. Nick, Wolk, David A., Shinohara, Russell T., Shou, Haochang, Davatzikos, Christos

“… As medical imaging enters its information era and presents rapidly increasing needs for big data analytics, robust pooling and harmonization of imaging data …”
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Neurofilament Light Chain as a Biomarker for Cognitive Decline in Parkinson Disease von Aamodt, Whitley W., Waligorska, Teresa, Shen, Junchao, Tropea, Thomas F., Siderowf, Andrew, Weintraub, Daniel, Grossman, Murray, Irwin, David, Wolk, David A., Xie, Sharon X., Trojanowski, John Q., Shaw, Leslie M., Chen‐Plotkin, Alice S.

“… ABSTRACT Background Neurofilament light chain protein (NfL) is a promising biomarker of neurodegeneration. Objectives To determine whether plasma and CSF NfL …”
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Automated volumetry and regional thickness analysis of hippocampal subfields and medial temporal cortical structures in mild cognitive impairment von Yushkevich, Paul A., Pluta, John B., Wang, Hongzhi, Xie, Long, Ding, Song-Lin, Gertje, Eske C., Mancuso, Lauren, Kliot, Daria, Das, Sandhitsu R., Wolk, David A.

“… We evaluate a fully automatic technique for labeling hippocampal subfields and cortical subregions in the medial temporal lobe in in vivo 3 Tesla MRI. The …”
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MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide von Bashyam, Vishnu M, Erus, Guray, Doshi, Jimit, Habes, Mohamad, Nasrallah, Ilya, Truelove-Hill, Monica, Srinivasan, Dhivya, Mamourian, Liz, Pomponio, Raymond, Fan, Yong, Launer, Lenore J, Masters, Colin L, Maruff, Paul, Zhuo, Chuanjun, Völzke, Henry, Johnson, Sterling C, Fripp, Jurgen, Koutsouleris, Nikolaos, Satterthwaite, Theodore D, Wolf, Daniel, Gur, Raquel E, Gur, Ruben C, Morris, John, Albert, Marilyn S, Grabe, Hans J, Resnick, Susan, Bryan, R Nick, Wolk, David A, Shou, Haochang, Davatzikos, Christos

“… Deep learning has emerged as a powerful approach to constructing imaging signatures of normal brain ageing as well as of various neuropathological processes …”
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MRI cortical thickness biomarker predicts AD-like CSF and cognitive decline in normal adults von Dickerson, Bradford C, Wolk, David A

“… New preclinical Alzheimer disease (AD) diagnostic criteria have been developed using biomarkers in cognitively normal (CN) adults. We implemented these …”
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A comparison of Freesurfer and multi-atlas MUSE for brain anatomy segmentation: Findings about size and age bias, and inter-scanner stability in multi-site aging studies von Srinivasan, Dhivya, Erus, Guray, Doshi, Jimit, Wolk, David A., Shou, Haochang, Habes, Mohamad, Davatzikos, Christos

“… Automatic segmentation of brain anatomy has been a key processing step in quantitative neuroimaging analyses. An extensive body of literature has relied on …”
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The Brain Chart of Aging: Machine-learning analytics reveals links between brain aging, white matter disease, amyloid burden, and cognition in the iSTAGING consortium of 10,216 harmonized MR scans von Habes, Mohamad, Pomponio, Raymond, Shou, Haochang, Doshi, Jimit, Mamourian, Elizabeth, Erus, Guray, Nasrallah, Ilya, Launer, Lenore J, Rashid, Tanweer, Bilgel, Murat, Fan, Yong, Toledo, Jon B, Yaffe, Kristine, Sotiras, Aristeidis, Srinivasan, Dhivya, Espeland, Mark, Masters, Colin, Maruff, Paul, Fripp, Jurgen, Völzk, Henry, Johnson, Sterling C, Morris, John C, Albert, Marilyn S, Miller, Michael I, Bryan, R Nick, Grabe, Hans J, Resnick, Susan M, Wolk, David A, Davatzikos, Christos

“… Relationships between brain atrophy patterns of typical aging and Alzheimer's disease (AD), white matter disease, cognition, and AD neuropathology were …”
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Characterizing the human hippocampus in aging and Alzheimer's disease using a computational atlas derived from ex vivo MRI and histology von Adler, Daniel H, Wisse, Laura E M, Ittyerah, Ranjit, Pluta, John B, Ding, Song-Lin, Xie, Long, Wang, Jiancong, Kadivar, Salmon, Robinson, John L, Schuck, Theresa, Trojanowski, John Q, Grossman, Murray, Detre, John A, Elliott, Mark A, Toledo, Jon B, Liu, Weixia, Pickup, Stephen, Miller, Michael I, Das, Sandhitsu R, Wolk, David A, Yushkevich, Paul A

“… Although the hippocampus is one of the most studied structures in the human brain, limited quantitative data exist on its 3D organization, anatomical …”
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A quantitative meta-analysis of olfactory dysfunction in mild cognitive impairment von Roalf, David R, Moberg, Madelyn J, Turetsky, Bruce I, Brennan, Laura, Kabadi, Sushila, Wolk, David A, Moberg, Paul J

“… BackgroundThe connection between Alzheimer's disease (AD) and olfactory deficits is well documented and further, alterations in olfactory functioning may …”
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Automated segmentation of medial temporal lobe subregions on in vivo T1‐weighted MRI in early stages of Alzheimer's disease von Xie, Long, Wisse, Laura E. M., Pluta, John, Flores, Robin, Piskin, Virgine, Manjón, Jose V., Wang, Hongzhi, Das, Sandhitsu R., Ding, Song‐Lin, Wolk, David A., Yushkevich, Paul A.

“… Medial temporal lobe (MTL) substructures are the earliest regions affected by neurofibrillary tangle pathology—and thus are promising biomarkers for …”
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Comparative accuracies of two common screening instruments for classification of Alzheimer's disease, mild cognitive impairment, and healthy aging von Roalf, David R, Moberg, Paul J, Xie, Sharon X, Wolk, David A, Moelter, Stephen T, Arnold, Steven E

“… The aim of this study was to compare the utility and diagnostic accuracy of the Montreal Cognitive Assessment (MoCA) and Mini-Mental State Examination (MMSE) …”
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Clinical marker for Alzheimer disease pathology in logopenic primary progressive aphasia von Giannini, Lucia A A, Irwin, David J, McMillan, Corey T, Ash, Sharon, Rascovsky, Katya, Wolk, David A, Van Deerlin, Vivianna M, Lee, Edward B, Trojanowski, John Q, Grossman, Murray

“… To determine whether logopenic features of phonologic loop dysfunction reflect Alzheimer disease (AD) neuropathology in primary progressive aphasia (PPA). We …”
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Cerebrospinal fluid neurogranin concentration in neurodegeneration: relation to clinical phenotypes and neuropathology von Portelius, Erik, Olsson, Bob, Höglund, Kina, Cullen, Nicholas C., Kvartsberg, Hlin, Andreasson, Ulf, Zetterberg, Henrik, Sandelius, Åsa, Shaw, Leslie M., Lee, Virginia M. Y., Irwin, David J., Grossman, Murray, Weintraub, Daniel, Chen-Plotkin, Alice, Wolk, David A., McCluskey, Leo, Elman, Lauren, McBride, Jennifer, Toledo, Jon B., Trojanowski, John Q., Blennow, Kaj

“… Neurogranin (Ng) is a post-synaptic protein that previously has been shown to be a biomarker for synaptic function when measured in cerebrospinal fluid (CSF) …”
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Arterial spin labeling versus 18F-FDG-PET to identify mild cognitive impairment von Dolui, Sudipto, Li, Zhengjun, Nasrallah, Ilya M., Detre, John A., Wolk, David A.

“… •18F-FDG-PET is a neurodegeneration biomarker, but is costly and requires a radioactive tracer.•Arterial spin labeled perfusion MRI (ASL-MRI) provides similar …”
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A Phase II Study of Fornix Deep Brain Stimulation in Mild Alzheimer's Disease von Lozano, Andres M, Fosdick, Lisa, Chakravarty, M Mallar, Leoutsakos, Jeannie-Marie, Munro, Cynthia, Oh, Esther, Drake, Kristen E, Lyman, Christopher H, Rosenberg, Paul B, Anderson, William S, Tang-Wai, David F, Pendergrass, Jo Cara, Salloway, Stephen, Asaad, Wael F, Ponce, Francisco A, Burke, Anna, Sabbagh, Marwan, Wolk, David A, Baltuch, Gordon, Okun, Michael S, Foote, Kelly D, McAndrews, Mary Pat, Giacobbe, Peter, Targum, Steven D, Lyketsos, Constantine G, Smith, Gwenn S

“… Deep brain stimulation (DBS) is used to modulate the activity of dysfunctional brain circuits. The safety and efficacy of DBS in dementia is unknown. To assess …”
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Cholesterol, Atherosclerosis, and APOE in Vascular Contributions to Cognitive Impairment and Dementia (VCID): Potential Mechanisms and Therapy von Duong, Michael Tran, Nasrallah, Ilya M., Wolk, David A., Chang, Catherine C. Y., Chang, Ta-Yuan

“… Vascular contributions to cognitive impairment and dementia (VCID) are a common cause of cognitive decline, yet limited therapies exist. This cerebrovascular …”
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Cognitive and Pathological Influences of Tau Pathology in Lewy Body Disorders von Coughlin, David, Xie, Sharon X., Liang, Mendy, Williams, Andrew, Peterson, Claire, Weintraub, Daniel, McMillan, Corey T., Wolk, David A., Akhtar, Rizwan S., Hurtig, Howard I., Branch Coslett, H., Hamilton, Roy H., Siderowf, Andrew D., Duda, John E., Rascovsky, Katya, Lee, Edward B., Lee, Virginia M.‐Y., Grossman, Murray, Trojanowski, John Q., Irwin, David J.

“… Objective To use digital histology in a large autopsy cohort of Lewy body disorder (LBD) patients with dementia to test the hypotheses that co‐occurring …”
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Longitudinal and cross-sectional structural magnetic resonance imaging correlates of AV-1451 uptake von Das, Sandhitsu R., Xie, Long, Wisse, Laura E.M., Ittyerah, Ranjit, Tustison, Nicholas J., Dickerson, Bradford C., Yushkevich, Paul A., Wolk, David A.

“… We examined the relationship between in vivo estimates of tau deposition as measured by 18F-AV-1451 tau positron emission tomography imaging and …”
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DeepAtrophy: Teaching a neural network to detect progressive changes in longitudinal MRI of the hippocampal region in Alzheimer's disease von Dong, Mengjin, Xie, Long, Das, Sandhitsu R., Wang, Jiancong, Wisse, Laura E.M., deFlores, Robin, Wolk, David A., Yushkevich, Paul A.

“… Measures of change in hippocampal volume derived from longitudinal MRI are a well-studied biomarker of disease progression in Alzheimer's disease (AD) and are …”
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TMEM106B Effect on cognition in Parkinson disease and frontotemporal dementia von Tropea, Thomas F., Mak, Jordan, Guo, Michael H., Xie, Sharon X., Suh, Eunran, Rick, Jacqueline, Siderowf, Andrew, Weintraub, Daniel, Grossman, Murray, Irwin, David, Wolk, David A., Trojanowski, John Q., Van Deerlin, Vivianna, Chen‐Plotkin, Alice S.

“… Objective Common variants near TMEM106B associate with risk of developing frontotemporal dementia (FTD). Emerging evidence suggests a role for TMEM106B in …”
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