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Author Judith Heidebrink

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Higher CSF sTREM2 attenuates ApoE4-related risk for cognitive decline and neurodegeneration.

Nicolai Franzmeier, M Suárez-Calvet, Lukas Frontzkowski, Annah Moore, Timothy J Hohman, Estrella Morenas-Rodriguez, Brigitte Nuscher, Leslie Shaw, John Q Trojanowski, Martin Dichgans, Gernot Kleinberger, Christian Haass, Michael Ewers, ,

BACKGROUND:The Apolipoprotein E ε4 allele (i.e. ApoE4) is the strongest genetic risk factor for sporadic Alzheimer's disease (AD). TREM2 (i.e. Triggering receptor expressed on myeloid cells 2) is a microglial transmembrane protein brain that plays a central role in microglia activation in response to AD brain pathologies. Whether higher TREM2-related ... Read more >>

Mol Neurodegener (Molecular neurodegeneration)
[2020, 15(1):57]

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Neuropathologic features associated with basal forebrain atrophy in Alzheimer disease.

Stefan J Teipel, H-Christian Fritz, Michel J Grothe, ,

OBJECTIVE:To study the neuropathologic correlates of cholinergic basal forebrain (BF) atrophy as determined using antemortem MRI in the Alzheimer disease (AD) spectrum. METHODS:We determined associations between BF volume from antemortem MRI brain scans and postmortem assessment of neuropathologic features, including neuritic plaques, neurofibrillary tangles (NFTs), Lewy body (LB) pathology, and ... Read more >>

Neurology (Neurology)
[2020, 95(10):e1301-e1311]

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A telescope GWAS analysis strategy, based on SNPs-genes-pathways ensamble and on multivariate algorithms, to characterize late onset Alzheimer's disease.

Margherita Squillario, Giulia Abate, Federico Tomasi, Veronica Tozzo, Annalisa Barla, Daniela Uberti, ,

Genome-wide association studies (GWAS) have revealed a plethora of putative susceptibility genes for Alzheimer's disease (AD), with the sole exception of APOE gene unequivocally validated in independent study. Considering that the etiology of complex diseases like AD could depend on functional multiple genes interaction network, here we proposed an alternative ... Read more >>

Sci Rep (Scientific reports)
[2020, 10(1):12063]

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Author Correction: Multimodal hippocampal subfield grading for Alzheimer's disease classification.

Kilian Hett, Vinh-Thong Ta, Gwenaëlle Catheline, Thomas Tourdias, José V Manjón, Pierrick Coupé, ,

An amendment to this paper has been published and can be accessed via a link at the top of the paper. ... Read more >>

Sci Rep (Scientific reports)
[2020, 10(1):10969]

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Spread of pathological tau proteins through communicating neurons in human Alzheimer's disease.

Jacob W Vogel, Yasser Iturria-Medina, Olof T Strandberg, Ruben Smith, Elizabeth Levitis, Alan C Evans, Oskar Hansson, , ,

Tau is a hallmark pathology of Alzheimer's disease, and animal models have suggested that tau spreads from cell to cell through neuronal connections, facilitated by β-amyloid (Aβ). We test this hypothesis in humans using an epidemic spreading model (ESM) to simulate tau spread, and compare these simulations to observed patterns ... Read more >>

Nat Commun (Nature communications)
[2020, 11(1):2612]

Cited: 6 times

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The genetic architecture of the human cerebral cortex.

Katrina L Grasby, Neda Jahanshad, Jodie N Painter, Lucía Colodro-Conde, Janita Bralten, Derrek P Hibar, Penelope A Lind, Fabrizio Pizzagalli, Christopher R K Ching, Mary Agnes B McMahon, Natalia Shatokhina, Leo C P Zsembik, Sophia I Thomopoulos, Alyssa H Zhu, Lachlan T Strike, Ingrid Agartz, Saud Alhusaini, Marcio A A Almeida, Dag Alnæs, Inge K Amlien, Micael Andersson, Tyler Ard, Nicola J Armstrong, Allison Ashley-Koch, Joshua R Atkins, Manon Bernard, Rachel M Brouwer, Elizabeth E L Buimer, Robin Bülow, Christian Bürger, Dara M Cannon, Mallar Chakravarty, Qiang Chen, Joshua W Cheung, Baptiste Couvy-Duchesne, Anders M Dale, Shareefa Dalvie, Tânia K de Araujo, Greig I de Zubicaray, Sonja M C de Zwarte, Anouk den Braber, Nhat Trung Doan, Katharina Dohm, Stefan Ehrlich, Hannah-Ruth Engelbrecht, Susanne Erk, Chun Chieh Fan, Iryna O Fedko, Sonya F Foley, Judith M Ford, Masaki Fukunaga, Melanie E Garrett, Tian Ge, Sudheer Giddaluru, Aaron L Goldman, Melissa J Green, Nynke A Groenewold, Dominik Grotegerd, Tiril P Gurholt, Boris A Gutman, Narelle K Hansell, Mathew A Harris, Marc B Harrison, Courtney C Haswell, Michael Hauser, Stefan Herms, Dirk J Heslenfeld, New Fei Ho, David Hoehn, Per Hoffmann, Laurena Holleran, Martine Hoogman, Jouke-Jan Hottenga, Masashi Ikeda, Deborah Janowitz, Iris E Jansen, Tianye Jia, Christiane Jockwitz, Ryota Kanai, Sherif Karama, Dalia Kasperaviciute, Tobias Kaufmann, Sinead Kelly, Masataka Kikuchi, Marieke Klein, Michael Knapp, Annchen R Knodt, Bernd Krämer, Max Lam, Thomas M Lancaster, Phil H Lee, Tristram A Lett, Lindsay B Lewis, Iscia Lopes-Cendes, Michelle Luciano, Fabio Macciardi, Andre F Marquand, Samuel R Mathias, Tracy R Melzer, Yuri Milaneschi, Nazanin Mirza-Schreiber, Jose C V Moreira, Thomas W Mühleisen, Bertram Müller-Myhsok, Pablo Najt, Soichiro Nakahara, Kwangsik Nho, Loes M Olde Loohuis, Dimitri Papadopoulos Orfanos, John F Pearson, Toni L Pitcher, Benno Pütz, Yann Quidé, Anjanibhargavi Ragothaman, Faisal M Rashid, William R Reay, Ronny Redlich, Céline S Reinbold, Jonathan Repple, Geneviève Richard, Brandalyn C Riedel, Shannon L Risacher, Cristiane S Rocha, Nina Roth Mota, Lauren Salminen, Arvin Saremi, Andrew J Saykin, Fenja Schlag, Lianne Schmaal, Peter R Schofield, Rodrigo Secolin, Chin Yang Shapland, Li Shen, Jean Shin, Elena Shumskaya, Ida E Sønderby, Emma Sprooten, Katherine E Tansey, Alexander Teumer, Anbupalam Thalamuthu, Diana Tordesillas-Gutiérrez, Jessica A Turner, Anne Uhlmann, Costanza Ludovica Vallerga, Dennis van der Meer, Marjolein M J van Donkelaar, Liza van Eijk, Theo G M van Erp, Neeltje E M van Haren, Daan van Rooij, Marie-José van Tol, Jan H Veldink, Ellen Verhoef, Esther Walton, Mingyuan Wang, Yunpeng Wang, Joanna M Wardlaw, Wei Wen, Lars T Westlye, Christopher D Whelan, Stephanie H Witt, Katharina Wittfeld, Christiane Wolf, Thomas Wolfers, Jing Qin Wu, Clarissa L Yasuda, Dario Zaremba, Zuo Zhang, Marcel P Zwiers, Eric Artiges, Amelia A Assareh, Rosa Ayesa-Arriola, Aysenil Belger, Christine L Brandt, Gregory G Brown, Sven Cichon, Joanne E Curran, Gareth E Davies, Franziska Degenhardt, Michelle F Dennis, Bruno Dietsche, Srdjan Djurovic, Colin P Doherty, Ryan Espiritu, Daniel Garijo, Yolanda Gil, Penny A Gowland, Robert C Green, Alexander N Häusler, Walter Heindel, Beng-Choon Ho, Wolfgang U Hoffmann, Florian Holsboer, Georg Homuth, Norbert Hosten, Clifford R Jack, MiHyun Jang, Andreas Jansen, Nathan A Kimbrel, Knut Kolskår, Sanne Koops, Axel Krug, Kelvin O Lim, Jurjen J Luykx, Daniel H Mathalon, Karen A Mather, Venkata S Mattay, Sarah Matthews, Jaqueline Mayoral Van Son, Sarah C McEwen, Ingrid Melle, Derek W Morris, Bryon A Mueller, Matthias Nauck, Jan E Nordvik, Markus M Nöthen, Daniel S O'Leary, Nils Opel, Marie-Laure Paillère Martinot, G Bruce Pike, Adrian Preda, Erin B Quinlan, Paul E Rasser, Varun Ratnakar, Simone Reppermund, Vidar M Steen, Paul A Tooney, Fábio R Torres, Dick J Veltman, James T Voyvodic, Robert Whelan, Tonya White, Hidenaga Yamamori, Hieab H H Adams, Joshua C Bis, Stephanie Debette, Charles Decarli, Myriam Fornage, Vilmundur Gudnason, Edith Hofer, M Arfan Ikram, Lenore Launer, W T Longstreth, Oscar L Lopez, Bernard Mazoyer, Thomas H Mosley, Gennady V Roshchupkin, Claudia L Satizabal, Reinhold Schmidt, Sudha Seshadri, Qiong Yang, , , , , , , Marina K M Alvim, David Ames, Tim J Anderson, Ole A Andreassen, Alejandro Arias-Vasquez, Mark E Bastin, Bernhard T Baune, Jean C Beckham, John Blangero, Dorret I Boomsma, Henry Brodaty, Han G Brunner, Randy L Buckner, Jan K Buitelaar, Juan R Bustillo, Wiepke Cahn, Murray J Cairns, Vince Calhoun, Vaughan J Carr, Xavier Caseras, Svenja Caspers, Gianpiero L Cavalleri, Fernando Cendes, Aiden Corvin, Benedicto Crespo-Facorro, John C Dalrymple-Alford, Udo Dannlowski, Eco J C de Geus, Ian J Deary, Norman Delanty, Chantal Depondt, Sylvane Desrivières, Gary Donohoe, Thomas Espeseth, Guillén Fernández, Simon E Fisher, Herta Flor, Andreas J Forstner, Clyde Francks, Barbara Franke, David C Glahn, Randy L Gollub, Hans J Grabe, Oliver Gruber, Asta K Håberg, Ahmad R Hariri, Catharina A Hartman, Ryota Hashimoto, Andreas Heinz, Frans A Henskens, Manon H J Hillegers, Pieter J Hoekstra, Avram J Holmes, L Elliot Hong, William D Hopkins, Hilleke E Hulshoff Pol, Terry L Jernigan, Erik G Jönsson, René S Kahn, Martin A Kennedy, Tilo T J Kircher, Peter Kochunov, John B J Kwok, Stephanie Le Hellard, Carmel M Loughland, Nicholas G Martin, Jean-Luc Martinot, Colm McDonald, Katie L McMahon, Andreas Meyer-Lindenberg, Patricia T Michie, Rajendra A Morey, Bryan Mowry, Lars Nyberg, Jaap Oosterlaan, Roel A Ophoff, Christos Pantelis, Tomas Paus, Zdenka Pausova, Brenda W J H Penninx, Tinca J C Polderman, Danielle Posthuma, Marcella Rietschel, Joshua L Roffman, Laura M Rowland, Perminder S Sachdev, Philipp G Sämann, Ulrich Schall, Gunter Schumann, Rodney J Scott, Kang Sim, Sanjay M Sisodiya, Jordan W Smoller, Iris E Sommer, Beate St Pourcain, Dan J Stein, Arthur W Toga, Julian N Trollor, Nic J A Van der Wee, Dennis van 't Ent, Henry Völzke, Henrik Walter, Bernd Weber, Daniel R Weinberger, Margaret J Wright, Juan Zhou, Jason L Stein, Paul M Thompson, Sarah E Medland, ,

The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area ... Read more >>

Science (Science (New York, N.Y.))
[2020, 367(6484):]

Cited: 4 times

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GenEpi: gene-based epistasis discovery using machine learning.

Yu-Chuan Chang, June-Tai Wu, Ming-Yi Hong, Yi-An Tung, Ping-Han Hsieh, Sook Wah Yee, Kathleen M Giacomini, Yen-Jen Oyang, Chien-Yu Chen, ,

BACKGROUND:Genome-wide association studies (GWAS) provide a powerful means to identify associations between genetic variants and phenotypes. However, GWAS techniques for detecting epistasis, the interactions between genetic variants associated with phenotypes, are still limited. We believe that developing an efficient and effective GWAS method to detect epistasis will be a key ... Read more >>

BMC Bioinformatics (BMC bioinformatics)
[2020, 21(1):68]

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Challenges and Opportunities with Causal Discovery Algorithms: Application to Alzheimer's Pathophysiology.

Xinpeng Shen, Sisi Ma, Prashanthi Vemuri, Gyorgy Simon, ,

Causal Structure Discovery (CSD) is the problem of identifying causal relationships from large quantities of data through computational methods. With the limited ability of traditional association-based computational methods to discover causal relationships, CSD methodologies are gaining popularity. The goal of the study was to systematically examine whether (i) CSD methods ... Read more >>

Sci Rep (Scientific reports)
[2020, 10(1):2975]

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Neurologic examination in the elderly.

Navid Seraji-Bzorgzad, Henry Paulson, Judith Heidebrink,

Clinical evaluation of neurologic disorders in the elderly requires seeking a thorough history and performing an age-appropriate neurologic examination with special attention to changes that occur with normal aging. The history should be obtained from the patient as well as collateral sources close to the patient to ensure accuracy and ... Read more >>

Handb Clin Neurol (Handbook of clinical neurology)
[2019, 167:73-88]

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Functional brain architecture is associated with the rate of tau accumulation in Alzheimer's disease.

Nicolai Franzmeier, Julia Neitzel, Anna Rubinski, Ruben Smith, Olof Strandberg, Rik Ossenkoppele, Oskar Hansson, Michael Ewers, ,

In Alzheimer's diseases (AD), tau pathology is strongly associated with cognitive decline. Preclinical evidence suggests that tau spreads across connected neurons in an activity-dependent manner. Supporting this, cross-sectional AD studies show that tau deposition patterns resemble functional brain networks. However, whether higher functional connectivity is associated with higher rates of ... Read more >>

Nat Commun (Nature communications)
[2020, 11(1):347]

Cited: 3 times

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A Novel Joint Brain Network Analysis Using Longitudinal Alzheimer's Disease Data.

Suprateek Kundu, Joshua Lukemire, Yikai Wang, Ying Guo, ,

There is well-documented evidence of brain network differences between individuals with Alzheimer's disease (AD) and healthy controls (HC). To date, imaging studies investigating brain networks in these populations have typically been cross-sectional, and the reproducibility of such findings is somewhat unclear. In a novel study, we use the longitudinal ADNI ... Read more >>

Sci Rep (Scientific reports)
[2019, 9(1):19589]

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Structural Brain Changes in Pre-Clinical FTD MAPT Mutation Carriers.

Clara Domínguez-Vivero, Liwen Wu, Seonjoo Lee, Masood Manoochehri, Sarah Cines, Adam M Brickman, Batool Rizvi, Anthony Chesebro, Yunglin Gazes, Emer Fallon, Timothy Lynch, Judith L Heidebrink, Henry Paulson, Jill S Goldman, Edward Huey, Stephanie Cosentino,

BACKGROUND:Frontotemporal dementia (FTD) is the second most common cause of early-onset neurodegenerative dementia. Several studies have focused on early imaging changes in FTD patients, but once subjects meet full criteria for FTD diagnosis, structural changes are generally widespread. OBJECTIVE:This study aims to determine the earliest structural brain changes in asymptomatic ... Read more >>

J Alzheimers Dis (Journal of Alzheimer's disease : JAD)
[2020, 75(2):595-606]

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Genome-wide association analysis of hippocampal volume identifies enrichment of neurogenesis-related pathways.

Emrin Horgusluoglu-Moloch, Shannon L Risacher, Paul K Crane, Derrek Hibar, Paul M Thompson, Andrew J Saykin, Kwangsik Nho, ,

Adult neurogenesis occurs in the dentate gyrus of the hippocampus during adulthood and contributes to sustaining the hippocampal formation. To investigate whether neurogenesis-related pathways are associated with hippocampal volume, we performed gene-set enrichment analysis using summary statistics from a large-scale genome-wide association study (N = 13,163) of hippocampal volume from the Enhancing ... Read more >>

Sci Rep (Scientific reports)
[2019, 9(1):14498]

Cited: 2 times

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Prediction and Classification of Alzheimer's Disease Based on Combined Features From Apolipoprotein-E Genotype, Cerebrospinal Fluid, MR, and FDG-PET Imaging Biomarkers.

Yubraj Gupta, Ramesh Kumar Lama, Goo-Rak Kwon, ,

Alzheimer's disease (AD), including its mild cognitive impairment (MCI) phase that may or may not progress into the AD, is the most ordinary form of dementia. It is extremely important to correctly identify patients during the MCI stage because this is the phase where AD may or may not develop. ... Read more >>

Front Comput Neurosci (Frontiers in computational neuroscience)
[2019, 13:72]

Cited: 3 times

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Multimodal Hippocampal Subfield Grading For Alzheimer's Disease Classification.

Kilian Hett, Vinh-Thong Ta, Gwenaëlle Catheline, Thomas Tourdias, José V Manjón, Pierrick Coupé, ,

Numerous studies have proposed biomarkers based on magnetic resonance imaging (MRI) to detect and predict the risk of evolution toward Alzheimer's disease (AD). Most of these methods have focused on the hippocampus, which is known to be one of the earliest structures impacted by the disease. To date, patch-based grading ... Read more >>

Sci Rep (Scientific reports)
[2019, 9(1):13845]

Cited: 3 times

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The Influence of Cerebrospinal Fluid Abnormalities and APOE 4 on PHF-Tau Protein: Evidence From Voxel Analysis and Graph Theory.

Yuan Li, Zhijun Yao, Yue Yu, Yu Fu, Ying Zou, Bin Hu, ,

Mild cognitive impairment (MCI) is a transitional state between the cognitive changes in normal aging and Alzheimer's disease (AD), which induces abnormalities in specific brain regions. Previous studies showed that paired helical filaments Tau (PHF-Tau) protein is a potential pathogenic protein which may cause abnormal brain function and structure in ... Read more >>

Front Aging Neurosci (Frontiers in aging neuroscience)
[2019, 11:208]

Cited: 1 time

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New Perspective for Non-invasive Brain Stimulation Site Selection in Mild Cognitive Impairment: Based on Meta- and Functional Connectivity Analyses.

Jiao Liu, Binlong Zhang, Georgia Wilson, Jian Kong, ,

Background:Non-invasive brain stimulation (NIBS) has been widely used to treat mild cognitive impairment (MCI). However, there exists no consensus on the best stimulation sites. Objective:To explore potential stimulation locations for NIBS treatment in patients with MCI, combining meta- and resting state functional connectivity (rsFC) analyses. Methods:The meta-analysis was conducted to ... Read more >>

Front Aging Neurosci (Frontiers in aging neuroscience)
[2019, 11:228]

Cited: 2 times

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Performing Sparse Regularization and Dimension Reduction Simultaneously in Multimodal Data Fusion.

Zhengshi Yang, Xiaowei Zhuang, Christopher Bird, Karthik Sreenivasan, Virendra Mishra, Sarah Banks, Dietmar Cordes, ,

Collecting multiple modalities of neuroimaging data on the same subject is increasingly becoming the norm in clinical practice and research. Fusing multiple modalities to find related patterns is a challenge in neuroimaging analysis. Canonical correlation analysis (CCA) is commonly used as a symmetric data fusion technique to find related patterns ... Read more >>

Front Neurosci (Frontiers in neuroscience)
[2019, 13:642]

Cited: 2 times

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Quantitative 18F-AV1451 Brain Tau PET Imaging in Cognitively Normal Older Adults, Mild Cognitive Impairment, and Alzheimer's Disease Patients.

Qian Zhao, Min Liu, Lingxia Ha, Yun Zhou, ,

Recent developments of tau Positron Emission Tomography (PET) allows assessment of regional neurofibrillary tangles (NFTs) deposition in human brain. Among the tau PET molecular probes, 18F-AV1451 is characterized by high selectivity for pathologic tau aggregates over amyloid plaques, limited non-specific binding in white and gray matter, and confined off-target binding. ... Read more >>

Front Neurol (Frontiers in neurology)
[2019, 10:486]

Cited: 2 times

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The BIN1 rs744373 SNP is associated with increased tau-PET levels and impaired memory.

Nicolai Franzmeier, Anna Rubinski, Julia Neitzel, Michael Ewers, ,

The single nucleotide polymorphism (SNP) rs744373 in the bridging integrator-1 gene (BIN1) is a risk factor for Alzheimer's disease (AD). In the brain, BIN1 is involved in endocytosis and sustaining cytoskeleton integrity. Post-mortem and in vitro studies suggest that BIN1-associated AD risk is mediated by increased tau pathology but whether ... Read more >>

Nat Commun (Nature communications)
[2019, 10(1):1766]

Cited: 6 times

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A blood-based signature of cerebrospinal fluid Aβ1-42 status.

Benjamin Goudey, Bowen J Fung, Christine Schieber, Noel G Faux, , ,

It is increasingly recognized that Alzheimer's disease (AD) exists before dementia is present and that shifts in amyloid beta occur long before clinical symptoms can be detected. Early detection of these molecular changes is a key aspect for the success of interventions aimed at slowing down rates of cognitive decline. ... Read more >>

Sci Rep (Scientific reports)
[2019, 9(1):4163]

Cited: 0 times

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Type 2 diabetes mellitus, brain atrophy, and cognitive decline.

Chris Moran, Richard Beare, Wei Wang, Michele Callisaya, Velandai Srikanth, ,

OBJECTIVE:To study longitudinal relationships between type 2 diabetes mellitus (T2DM), cortical thickness, and cognitive function in older people with normal cognition, mild cognitive impairment, and Alzheimer disease (AD). METHODS:The sample was derived from the Alzheimer's Disease Neuroimaging Initiative cohort who underwent brain MRI and cognitive tests annually for 5 years. ... Read more >>

Neurology (Neurology)
[2019, 92(8):e823-e830]

Cited: 10 times

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Predicting Alzheimer's disease progression using multi-modal deep learning approach.

Garam Lee, Kwangsik Nho, Byungkon Kang, Kyung-Ah Sohn, Dokyoon Kim, ,

Alzheimer's disease (AD) is a progressive neurodegenerative condition marked by a decline in cognitive functions with no validated disease modifying treatment. It is critical for timely treatment to detect AD in its earlier stage before clinical manifestation. Mild cognitive impairment (MCI) is an intermediate stage between cognitively normal older adults ... Read more >>

Sci Rep (Scientific reports)
[2019, 9(1):1952]

Cited: 12 times

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Predicting Short-term MCI-to-AD Progression Using Imaging, CSF, Genetic Factors, Cognitive Resilience, and Demographics.

Yogatheesan Varatharajah, Vijay K Ramanan, Ravishankar Iyer, Prashanthi Vemuri, ,

In the Alzheimer's disease (AD) continuum, the prodromal state of mild cognitive impairment (MCI) precedes AD dementia and identifying MCI individuals at risk of progression is important for clinical management. Our goal was to develop generalizable multivariate models that integrate high-dimensional data (multimodal neuroimaging and cerebrospinal fluid biomarkers, genetic factors, ... Read more >>

Sci Rep (Scientific reports)
[2019, 9(1):2235]

Cited: 1 time

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Cognitive Indicators of Preclinical Behavioral Variant Frontotemporal Dementia in MAPT Carriers.

Gayathri Cheran, Liwen Wu, Seonjoo Lee, Masood Manoochehri, Sarah Cines, Emer Fallon, Timothy Lynch, Judith Heidebrink, Henry Paulson, Jill Goldman, Edward Huey, Stephanie Cosentino,

OBJECTIVES:The cognitive indicators of preclinical behavioral variant Frontotemporal Dementia (bvFTD) have not been identified. To investigate these indicators, we compared cross-sectional performance on a range of cognitive measures in 12 carriers of pathogenic MAPT mutations not meeting diagnostic criteria for bvFTD (i.e., preclinical) versus 32 demographically-matched familial non-carriers (n = ... Read more >>

J Int Neuropsychol Soc (Journal of the International Neuropsychological Society : JINS)
[2019, 25(2):184-194]

Cited: 2 times

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