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JOURNAL ARTICLE
Danzhou Fang, Zhiming Zhou, Yalan Xiong, Yongzeng Fan, Yixuan Li, Huayi Zhao, Jiahui Huang, Gengbiao Yuan, Maohua Rao
OBJECTIVE: Alzheimer's disease, an irreversible neurological condition, demands timely diagnosis for effective clinical intervention. This study employs radiomics analysis to assess image features in default mode network cerebral perfusion imaging among individuals with cognitive impairment. METHODS: A radiomics analysis of cerebral perfusion imaging was conducted on 117 patients with cognitive impairment. They were divided into training and validation sets in a 7:3 ratio...
April 24, 2024: Journal of Applied Clinical Medical Physics
#2
JOURNAL ARTICLE
Jiaxing Xu, Qingtian Bian, Xinhang Li, Aihu Zhang, Yiping Ke, Miao Qiao, Wei Zhang, Wei Khang Jeremy Sim, Balazs Gulyas
Functional magnetic resonance imaging (fMRI) is a commonly used technique to measure neural activation. Its application has been particularly important in identifying underlying neurodegenerative conditions such as Parkinson's, Alzheimer's, and Autism. Recent analysis of fMRI data models the brain as a graph and extracts features by graph neural networks (GNNs). However, the unique characteristics of fMRI data require a special design of GNN. Tailoring GNN to generate effective and domain-explainable features remains challenging...
April 24, 2024: IEEE Transactions on Medical Imaging
#3
JOURNAL ARTICLE
Haodong Wang, Quefeng Li, Yufeng Liu
Multi-modal data are prevalent in many scientific fields. In this study, we consider the parameter estimation and variable selection for a multi-response regression using block-missing multi-modal data. Our method allows the dimensions of both the responses and the predictors to be large, and the responses to be incomplete and correlated, a common practical problem in high-dimensional settings. Our proposed method uses two steps to make a prediction from a multi-response linear regression model with block-missing multi-modal predictors...
April 2024: Statistica Sinica
#4
JOURNAL ARTICLE
Ting-Yu Chen, Jun-Ding Zhu, Shih-Jen Tsai, Albert C Yang
BACKGROUND: Alzheimer's disease is characterized by large-scale structural changes in a specific pattern. Recent studies developed morphological similarity networks constructed by brain regions similar in structural features to represent brain structural organization. However, few studies have used local morphological properties to explore inter-regional structural similarity in Alzheimer's disease. METHODS: Here, we sourced T1-weighted MRI images of 342 cognitively normal participants and 276 individuals with Alzheimer's disease from the Alzheimer's Disease Neuroimaging Initiative database...
April 23, 2024: Alzheimer's Research & Therapy
#5
JOURNAL ARTICLE
Ingeborg Rasing, Sabine Voigt, Emma A Koemans, Anna M de Kort, Thijs W van Harten, Ellis S van Etten, Erik W van Zwet, Erik Stoops, Cindy Francois, Bea H Kuiperij, Catharina J M Klijn, Floris H B M Schreuder, Louise van der Weerd, Matthias J P van Osch, Marianne A A van Walderveen, Marcel M Verbeek, Gisela M Terwindt, Marieke J H Wermer
BACKGROUND: Neurofilament light chain (NFL) is a biomarker for neuroaxonal damage and glial fibrillary acidic protein (GFAP) for reactive astrocytosis. Both processes occur in cerebral amyloid angiopathy (CAA), but studies investigating the potential of NFL and GFAP as markers for CAA are lacking. We aimed to investigate NFL and GFAP as biomarkers for neuroaxonal damage and astrocytosis in CAA. METHODS: For this cross-sectional study serum and cerebrospinal fluid (CSF) samples were collected between 2010 and 2020 from controls, (pre)symptomatic Dutch-type hereditary (D-CAA) mutation-carriers and participants with sporadic CAA (sCAA) from two prospective CAA studies at two University hospitals in the Netherlands...
April 23, 2024: Alzheimer's Research & Therapy
#6
JOURNAL ARTICLE
Farjana Parvin, Samuel Haglund, Bettina Wegenast-Braun, Mathias Jucker, Takashi Saito, Takaomi C Saido, K Peter R Nilsson, Per Nilsson, Sofie Nyström, Per Hammarström
Amyloid plaques composed of fibrils of misfolded Aβ peptides are pathological hallmarks of Alzheimer's disease (AD). Aβ fibrils are polymorphic in their tertiary and quaternary molecular structures. This structural polymorphism may carry different pathologic potencies and can putatively contribute to clinical phenotypes of AD. Therefore, mapping of structural polymorphism of Aβ fibrils and structural evolution over time is valuable to understanding disease mechanisms. Here, we investigated how Aβ fibril structures in situ differ in Aβ plaque of different mouse models expressing familial mutations in the AβPP gene...
April 23, 2024: ACS Chemical Neuroscience
#7
JOURNAL ARTICLE
Katerina Deike, Andreas Decker, Paul Scheyhing, Julia Harten, Nadine Zimmermann, Daniel Paech, Oliver Peters, Silka D Freiesleben, Luisa-Sophie Schneider, Lukas Preis, Josef Priller, Eike Spruth, Slawek Altenstein, Andrea Lohse, Klaus Fliessbach, Okka Kimmich, Jens Wiltfang, Claudia Bartels, Niels Hansen, Frank Jessen, Ayda Rostamzadeh, Emrah Düzel, Wenzel Glanz, Enise I Incesoy, Michaela Butryn, Katharina Buerger, Daniel Janowitz, Michael Ewers, Robert Perneczky, Boris-Stephan Rauchmann, Stefan Teipel, Ingo Kilimann, Doreen Goerss, Christoph Laske, Matthias H Munk, Annika Spottke, Nina Roy, Michael Wagner, Sandra Roeske, Michael T Heneka, Frederic Brosseron, Alfredo Ramirez, Laura Dobisch, Steffen Wolfsgruber, Luca Kleineidam, Renat Yakupov, Melina Stark, Matthias C Schmid, Moritz Berger, Stefan Hetzer, Peter Dechent, Klaus Scheffler, Gabor C Petzold, Anja Schneider, Alexander Effland, Alexander Radbruch
OBJECTIVES: Impaired perivascular clearance has been suggested as a contributing factor to the pathogenesis of Alzheimer disease (AD). However, it remains unresolved when the anatomy of the perivascular space (PVS) is altered during AD progression. Therefore, this study investigates the association between PVS volume and AD progression in cognitively unimpaired (CU) individuals, both with and without subjective cognitive decline (SCD), and in those clinically diagnosed with mild cognitive impairment (MCI) or mild AD...
April 23, 2024: Investigative Radiology
#8
REVIEW
Jannik Prasuhn, Jiadi Xu, Jun Hua, Peter van Zijl, Linda Knutsson
The glymphatic system, a macroscopic waste clearance system in the brain, is crucial for maintaining neural health. It facilitates the exchange of cerebrospinal and interstitial fluid, aiding the clearance of soluble proteins and metabolites and distributing essential nutrients and signaling molecules. Emerging evidence suggests a link between glymphatic dysfunction and the pathogenesis of neurodegenerative disorders, including Alzheimer's, Parkinson's, and Huntington's disease. These disorders are characterized by the accumulation and propagation of misfolded or mutant proteins, a process in which the glymphatic system is likely involved...
2024: Frontiers in Psychiatry
#9
JOURNAL ARTICLE
Nikolaj Bøgh, Charlotte B Sørensen, Aage K O Alstrup, Esben S S Hansen, Olav M Andersen, Christoffer Laustsen
The sortilin-related receptor 1 ( SORL1 ) gene, encoding the cellular endosomal sorting-related receptor with A-type repeats (SORLA), is now established as a causal gene for Alzheimer's disease. As the latest addition to the list of causal genes, the pathophysiological effects and biomarker potential of SORL1 variants remain relatively undiscovered. Metabolic dysfunction is, however, well described in patients with Alzheimer's disease and is used as an imaging biomarker in clinical diagnosis settings. To understand the metabolic consequences of loss-of-function SORL1 mutations, we applied two metabolic MRI technologies, sodium (23 Na) MRI and MRI with hyperpolarized [1-13 C]pyruvate, in minipigs and mice with compromised expression of SORL1 ...
2024: Brain communications
#10
JOURNAL ARTICLE
Aya Hassouneh, Bradley Bazuin, Alessander Danna-Dos-Santos, Ilgin Acar, Ikhlas Abdel-Qader
INTRODUCTION: Alzheimer's disease (AD) is a progressive neurological disorder characterized by mild memory loss and ranks as a leading cause of mortality in the USA, accounting for approximately 120,000 deaths per year. It is also the primary form of dementia. Early detection is critical for timely intervention as the neurodegenerative process often starts 15-20 years before cognitive symptoms manifest. This study focuses on determining feature importance in AD classification using fused texture features from 3D magnetic resonance imaging hippocampal and entorhinal cortex and standardized uptake value ratio (SUVR) derived from positron emission tomography (PET) images...
2024: Digital Biomarkers
#11
JOURNAL ARTICLE
Joël Macoir, Pascale Tremblay, Stéphanie Beaudoin, Mathias Parent, Carol Hudon
Subjective cognitive decline (SCD) may serve as an early indicator of Alzheimer's disease (AD). However, accurately quantifying cognitive impairment in SCD is challenging, mainly because existing assessment tools lack sensitivity. This study examined how tasks specifically designed to assess knowledge of famous people, could potentially aid in identifying cognitive impairment in SCD. A total of 60 adults with SCD and 60 healthy controls (HCs) aged 50 to 82 years performed a famous people verbal fluency task and a famous people naming task...
April 22, 2024: Applied Neuropsychology. Adult
#12
JOURNAL ARTICLE
Kerem Tahan, Alexia Cayrier, Jean Baratgin, Bernard N'kaoua
The objective of the present study was to evaluate the interest of an assistance robot to help caregivers manage the activities of daily living of institutionalized elderly people with Alzheimer's disease. Twenty-three institutionalized persons (60% women; average age 89; average MMSE score of 20.8) with Alzheimer Disease (AD) were recruited and invited to participate in prospective memory exercise sessions, conducted either by a caregiver or by a robot (assisted by a caregiver). They were divided into two groups equivalent in age, level of education and MMSE score...
April 22, 2024: Applied Neuropsychology. Adult
#13
JOURNAL ARTICLE
Junfang Zhang, Haijuan Chen, Jie Wang, Qi Huang, Xiaomeng Xu, Wenjing Wang, Wei Xu, Yihui Guan, Jun Liu, Joanna M Wardlaw, Yulei Deng, Fang Xie, Binyin Li
INTRODUCTION: We investigated the association between white matter hyperintensities (WMH) and regional cortical thickness, amyloid and tau deposition, and synaptic density in the WMH-connected cortex using multimodal images. METHODS: We included 107 participants (59 with Alzheimer's disease [AD]; 27 with mild cognitive impairment; 21 cognitively normal controls) with amyloid beta (Aβ) positivity on amyloid positron emission tomography (PET). The cortex connected to WMH was identified using probabilistic tractography...
April 22, 2024: Alzheimer's & Dementia: the Journal of the Alzheimer's Association
#14
JOURNAL ARTICLE
Kei Wagatsuma, Muneyuki Sakata, Kenta Miwa, Yumi Hamano, Hirofumi Kawakami, Yuto Kamitaka, Tensho Yamao, Noriaki Miyaji, Kenji Ishibashi, Tetsuro Tago, Jun Toyohara, Kenji Ishii
PURPOSE: Bayesian penalised likelihood (BPL) reconstruction, which incorporates point-spread-function (PSF) correction, provides higher signal-to-noise ratios and more accurate quantitation than conventional ordered subset expectation maximization (OSEM) reconstruction. However, applying PSF correction to brain PET imaging is controversial due to Gibbs artefacts that manifest as unpredicted cortical uptake enhancement. The present study aimed to validate whether BPL without PSF would be useful for amyloid PET imaging...
April 22, 2024: EJNMMI Physics
#15
JOURNAL ARTICLE
Gazi Saadmaan, Maria Carolina Dalmasso, Alfredo Ramirez, Mikko Hiltunen, Nina Kemppainen, Jenni Lehtisalo, Francesca Mangialasche, Tiia Ngandu, Juha Rinne, Hilkka Soininen, Ruth Stephen, Miia Kivipelto, Alina Solomon
INTRODUCTION: We assessed a genetic risk score for Alzheimer's disease (AD-GRS) and apolipoprotein E (APOE4) in an exploratory neuroimaging substudy of the FINGER trial. METHODS: 1260 at-risk older individuals without dementia were randomized to multidomain lifestyle intervention or health advice. N = 126 participants underwent magnetic resonance imaging (MRI), and N = 47 positron emission tomography (PET) scans (Pittsburgh Compund B [PiB], Fluorodeoxyglucose) at baseline; N = 107 and N = 38 had repeated 2-year scans...
April 22, 2024: Alzheimer's & Dementia: the Journal of the Alzheimer's Association
#16
JOURNAL ARTICLE
Fabian Niess, Bernhard Strasser, Lukas Hingerl, Viola Bader, Sabina Frese, William T Clarke, Anna Duguid, Eva Niess, Stanislav Motyka, Martin Krššák, Siegfried Trattnig, Thomas Scherer, Rupert Lanzenberger, Wolfgang Bogner
Deuterium metabolic imaging (DMI) is an emerging magnetic resonance technique, for non-invasive mapping of human brain glucose metabolism following oral or intravenous administration of deuterium-labeled glucose. Regional differences in glucose metabolism can be observed in various brain pathologies, such as Alzheimer's disease, cancer, epilepsy or schizophrenia, but the achievable spatial resolution of conventional phase-encoded DMI methods is limited due to prolonged acquisition times rendering submilliliter isotropic spatial resolution for dynamic whole brain DMI not feasible...
April 15, 2024: Human Brain Mapping
#17
JOURNAL ARTICLE
Savannah Longo, María Laura Messi, Zhong-Min Wang, William Meeker, Osvaldo Delbono
BACKGROUND: Alzheimer's disease (AD) impairs cognitive functions and peripheral systems, including skeletal muscles. The PS19 mouse, expressing the human tau P301S mutation, shows cognitive and muscular pathologies, reflecting the central and peripheral atrophy seen in AD. METHODS: We analysed skeletal muscle morphology and neuromuscular junction (NMJ) through immunohistochemistry and advanced image quantification. A factorial Analysis of Variance assessed muscle weight, NCAM expression, NMJ, myofibre type distribution, cross-sectional areas, expression of single or multiple myosin heavy-chain isoforms, and myofibre grouping in PS19 and wild type (WT) mice over their lifespan (1-12 months)...
April 22, 2024: Journal of Cachexia, Sarcopenia and Muscle
#18
REVIEW
Ketan Maru, Amarendra Singh, Ritambhara Jangir, Komal Kumar Jangir
Neurodegenerative diseases (amyloid diseases such as Alzheimer's and Parkinson's), stemming from protein misfolding and aggregation, encompass a spectrum of disorders with severe systemic implications. Timely detection is pivotal in managing these diseases owing to their significant impact on organ function and high mortality rates. The diverse array of amyloid disorders, spanning localized and systemic manifestations, underscores the complexity of these conditions and highlights the need for advanced detection methods...
April 22, 2024: Journal of Materials Chemistry. B, Materials for Biology and Medicine
#19
JOURNAL ARTICLE
Fang Frank Yu, James Rathnakar, Bryan Ryder, Brian Hitt, Omar M Kashmer, A Dean Sherry, Elena Vinogradov
Neurofibrillary tangles of tau constitute one of the key biological hallmarks of Alzheimer's disease. Currently, the assessment of regional tau accumulation requires intravenous administration of radioactive tracers for PET imaging. A noninvasive MRI-based solution would have significant clinical implications. Herein, we utilized an MRI technique known as chemical exchange saturation transfer (CEST) to determine the imaging signature of tau in both its monomeric and pathologic fibrillated conformations. Three sets of purified recombinant full-length (4R) tau protein were prepared for collection of CEST spectra using a 9...
April 22, 2024: NMR in Biomedicine
#20
JOURNAL ARTICLE
Yasunori Yamada, Kaoru Shinkawa, Masatomo Kobayashi, Miyuki Nemoto, Miho Ota, Kiyotaka Nemoto, Tetsuaki Arai
BACKGROUND: Alzheimer's disease (AD) and Lewy body disease (LBD), the two most common causes of neurodegenerative dementia with similar clinical manifestations, both show impaired visual attention and altered eye movements. However, prior studies have used structured tasks or restricted stimuli, limiting the insights into how eye movements alter and differ between AD and LBD in daily life. OBJECTIVE: We aimed to comprehensively characterize eye movements of AD and LBD patients on naturalistic complex scenes with broad categories of objects, which would provide a context closer to real-world free viewing, and to identify disease-specific patterns of altered eye movements...
2024: Frontiers in Neuroscience
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