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https://www.readbyqxmd.com/read/29780318/the-aerobic-and-cognitive-exercise-study-aces-for-community-dwelling-older-adults-with-or-at-risk-for-mild-cognitive-impairment-mci-neuropsychological-neurobiological-and-neuroimaging-outcomes-of-a-randomized-clinical-trial
#1
Cay Anderson-Hanley, Nicole M Barcelos, Earl A Zimmerman, Robert W Gillen, Mina Dunnam, Brian D Cohen, Vadim Yerokhin, Kenneth E Miller, David J Hayes, Paul J Arciero, Molly Maloney, Arthur F Kramer
Prior research has found that cognitive benefits of physical exercise and brain health in older adults may be enhanced when mental exercise is interactive simultaneously, as in exergaming. It is unclear whether the cognitive benefit can be maximized by increasing the degree of mental challenge during exercise. This randomized clinical trial (RCT), the Aerobic and Cognitive Exercise Study (ACES) sought to replicate and extend prior findings of added cognitive benefit from exergaming to those with or at risk for mild cognitive impairment (MCI)...
2018: Frontiers in Aging Neuroscience
https://www.readbyqxmd.com/read/29730302/sabellastarte-magnifica-carboxypetidase-inhibitor-the-first-kunitz-inhibitor-simultaneously-interacting-with-carboxypeptidases-and-serine-proteases
#2
Mey Ling Reytor González, Maday Alonso-Del-Rivero Antigua, Lizbeth Hedstrom, Petr Kuzmič, José Ricardo Pires
Multi-domain inhibitors capable to block the activity of different classes of proteases are not very common in nature. However, these kinds of molecules are attractive systems for biomedical or biotechnological applications, where two or more different targets need to be neutralized. SmCI, the Sabellastarte magnifica Carboxypeptidase Inhibitor, is a tri-domain BPTI-Kunitz inhibitor capable to inhibit serine proteases and A-like metallocarboxypeptidases. The BPTI-Kunitz family of proteins includes voltage gated channel blockers and inhibitors of serine proteases...
May 3, 2018: Biochimie
https://www.readbyqxmd.com/read/29572601/multi-modality-cascaded-convolutional-neural-networks-for-alzheimer-s-disease-diagnosis
#3
Manhua Liu, Danni Cheng, Kundong Wang, Yaping Wang
Accurate and early diagnosis of Alzheimer's disease (AD) plays important role for patient care and development of future treatment. Structural and functional neuroimages, such as magnetic resonance images (MRI) and positron emission tomography (PET), are providing powerful imaging modalities to help understand the anatomical and functional neural changes related to AD. In recent years, machine learning methods have been widely studied on analysis of multi-modality neuroimages for quantitative evaluation and computer-aided-diagnosis (CAD) of AD...
March 23, 2018: Neuroinformatics
https://www.readbyqxmd.com/read/29446627/ultrabright-and-fluorogenic-probes-for-multicolor-imaging-and-tracking-of-lipid-droplets-in-cells-and-tissues
#4
Mayeul Collot, Tkhe Kyong Fam, Pichandi Ashokkumar, Orestis Faklaris, Thierry Galli, Lydia Danglot, Andrey S Klymchenko
Lipid droplets (LDs) are intracellular lipid-rich organelles that regulate the storage of neutral lipids and were recently found to be involved in many physiological processes, metabolic disorders, and diseases including obesity, diabetes, and cancers. Herein we present a family of new fluorogenic merocyanine fluorophores based on an indolenine moiety and a dioxaborine barbiturate derivative. These so-called StatoMerocyanines (SMCy) fluoresce from yellow to the near-infrared (NIR) in oil with an impressive fluorescence enhancement compared to aqueous media...
April 25, 2018: Journal of the American Chemical Society
https://www.readbyqxmd.com/read/28800325/classification-of-alzheimer-s-disease-and-prediction-of-mild-cognitive-impairment-conversion-using-histogram-based-analysis-of-patient-specific-anatomical-brain-connectivity-networks
#5
Iman Beheshti, Norihide Maikusa, Morteza Daneshmand, Hiroshi Matsuda, Hasan Demirel, Gholamreza Anbarjafari
In this study, we investigated the early detection of Alzheimer's disease (AD) and mild cognitive impairment (MCI) conversion to AD through individual structural connectivity networks using structural magnetic resonance imaging (sMRI) data. In the proposed method, the cortical morphometry of individual gray matter images were used to construct structural connectivity networks. A statistical feature generation approach based on histogram-based feature generation procedure was proposed to represent a statistical-pattern of connectivity networks from a high-dimensional space into low-dimensional feature vectors...
2017: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/28572766/conversion-discriminative-analysis-on-mild-cognitive-impairment-using-multiple-cortical-features-from-mr-images
#6
Shengwen Guo, Chunren Lai, Congling Wu, Guiyin Cen
Neuroimaging measurements derived from magnetic resonance imaging provide important information required for detecting changes related to the progression of mild cognitive impairment (MCI). Cortical features and changes play a crucial role in revealing unique anatomical patterns of brain regions, and further differentiate MCI patients from normal states. Four cortical features, namely, gray matter volume, cortical thickness, surface area, and mean curvature, were explored for discriminative analysis among three groups including the stable MCI (sMCI), the converted MCI (cMCI), and the normal control (NC) groups...
2017: Frontiers in Aging Neuroscience
https://www.readbyqxmd.com/read/28464009/reduced-cerebrospinal-fluid-concentration-of-interleukin-12-23-subunit-p40-in-patients-with-cognitive-impairment
#7
Per Johansson, Erik G Almqvist, Anders Wallin, Jan-Ove Johansson, Ulf Andreasson, Kaj Blennow, Henrik Zetterberg, Johan Svensson
BACKGROUND: The role of inflammation in Alzheimer's disease (AD) and other cognitive disorders is unclear. In a well-defined mono-center population, we measured cytokines and chemokines in paired serum and cerebrospinal fluid (CSF) samples. METHODS: Consecutive patients with AD (n = 30), stable mild cognitive impairment (SMCI, n = 11), other dementias (n = 11), and healthy controls (n = 18) were included. None of the subjects was treated with glucocorticoids, cholinesterase inhibitors, or non-steroidal anti-inflammatory drugs...
2017: PloS One
https://www.readbyqxmd.com/read/28404458/a-comparison-of-accurate-automatic-hippocampal-segmentation-methods
#8
Azar Zandifar, Vladimir Fonov, Pierrick Coupé, Jens Pruessner, D Louis Collins
The hippocampus is one of the first brain structures affected by Alzheimer's disease (AD). While many automatic methods for hippocampal segmentation exist, few studies have compared them on the same data. In this study, we compare four fully automated hippocampal segmentation methods in terms of their conformity with manual segmentation and their ability to be used as an AD biomarker in clinical settings. We also apply error correction to the four automatic segmentation methods, and complete a comprehensive validation to investigate differences between the methods...
April 9, 2017: NeuroImage
https://www.readbyqxmd.com/read/28260614/classification-of-alzheimer-s-disease-and-prediction-of-mild-cognitive-impairment-to-alzheimer-s-conversion-from-structural-magnetic-resource-imaging-using-feature-ranking-and-a-genetic-algorithm
#9
Iman Beheshti, Hasan Demirel, Hiroshi Matsuda
We developed a novel computer-aided diagnosis (CAD) system that uses feature-ranking and a genetic algorithm to analyze structural magnetic resonance imaging data; using this system, we can predict conversion of mild cognitive impairment (MCI)-to-Alzheimer's disease (AD) at between one and three years before clinical diagnosis. The CAD system was developed in four stages. First, we used a voxel-based morphometry technique to investigate global and local gray matter (GM) atrophy in an AD group compared with healthy controls (HCs)...
April 1, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28150810/differential-lactate-and-cholesterol-synthetic-activities-in-xy-and-xx-sertoli-cells
#10
Yurina Shishido, Takashi Baba, Tetsuya Sato, Yuichi Shima, Kanako Miyabayashi, Miki Inoue, Haruhiko Akiyama, Hiroshi Kimura, Yoshiakira Kanai, Yasuhiro Ishihara, Shogo Haraguchi, Akira Miyazaki, Damjana Rozman, Takeshi Yamazaki, Man-Ho Choi, Yasuyuki Ohkawa, Mikita Suyama, Ken-Ichirou Morohashi
SRY, a sex-determining gene, induces testis development in chromosomally female (XX) individuals. However, mouse XX Sertoli cells carrying Sry (XX/Sry Sertoli cells) are incapable of fully supporting germ cell development, even when the karyotype of the germ cells is XY. While it has therefore been assumed that XX/Sry Sertoli cells are not functionally equivalent to XY Sertoli cells, it has remained unclear which specific functions are affected. To elucidate the functional difference, we compared the gene expression of XY and XX/Sry Sertoli cells...
February 2, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28045907/early-prediction-of-alzheimer-s-disease-using-null-longitudinal-model-based-classifiers
#11
Giovana Gavidia-Bovadilla, Samir Kanaan-Izquierdo, María Mataró-Serrat, Alexandre Perera-Lluna
Incipient Alzheimer's Disease (AD) is characterized by a slow onset of clinical symptoms, with pathological brain changes starting several years earlier. Consequently, it is necessary to first understand and differentiate age-related changes in brain regions in the absence of disease, and then to support early and accurate AD diagnosis. However, there is poor understanding of the initial stage of AD; seemingly healthy elderly brains lose matter in regions related to AD, but similar changes can also be found in non-demented subjects having mild cognitive impairment (MCI)...
2017: PloS One
https://www.readbyqxmd.com/read/27646979/cerebrospinal-fluid-stanniocalcin-1-as-a-biomarker-for-alzheimer-s-disease-and-other-neurodegenerative-disorders
#12
Pashtun Shahim, Kaj Blennow, Per Johansson, Johan Svensson, Simone Lista, Harald Hampel, Leif Christer Andersson, Henrik Zetterberg
Stanniocalcin-1 (STC-1) is a nerve cell-enriched protein involved in intracellular calcium homeostasis regulation. Changes in calcium regulation are hypothesized to play a role in the pathophysiology of Alzheimer's disease (AD). The expression of STC-1 increases in response to ischemic stroke, but whether it is altered in neurodegenerative disorder, particularly Alzheimer's disease (AD), has not been investigated before. We measured STC-1 in cerebrospinal fluid (CSF) samples from a total of 163 individuals including AD, prodromal AD (pAD), mixed AD, stable mild cognitive impairment (sMCI), and diagnoses of other dementia than AD, as well as cognitively normal controls (CNC) enrolled at academic centers in France and Sweden...
March 2017: Neuromolecular Medicine
https://www.readbyqxmd.com/read/27604972/apolipoprotein-e-genotypes-and-plasma-levels-in-mild-cognitive-impairment-conversion-to-alzheimer-s-disease-a-follow-up-study
#13
Daniela Scarabino, Elisabetta Broggio, Giuseppe Gambina, Carlotta Maida, Maria Rosa Gaudio, Rosa Maria Corbo
Mild cognitive impairment (MCI) is the transition stage between the normal aging process and dementia itself. The most common clinical phenotype is amnestic MCI (aMCI) [subtypes: single domain (sMCI) and multiple domains (mMCI)], which is considered prodromal to Alzheimer's disease (AD). The APOE (apolipoprotein E) e4 allele is the most important genetic risk factor for AD, but its association with MCI onset and conversion to AD is controversial. In this follow-up study of 88 aMCI patients (68% sMCI and 32% mMCI at baseline), we examined APOE genotypes and plasma levels in relation to MCI development and progression based on their clinical/cognitive data obtained at baseline and follow-up assessment (mean follow-up time = 6...
December 2016: American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics
https://www.readbyqxmd.com/read/27589525/disrupted-brain-network-in-progressive-mild-cognitive-impairment-measured-by-eigenvector-centrality-mapping-is-linked-to-cognition-and-cerebrospinal-fluid-biomarkers
#14
Tiantian Qiu, Xiao Luo, Zhujing Shen, Peiyu Huang, Xiaojun Xu, Jiong Zhou, Minming Zhang
Mild cognitive impairment (MCI) is a heterogeneous condition associated with a high risk of progressing to Alzheimer's disease (AD). Although functional brain network alterations have been observed in progressive MCI (pMCI), the underlying pathological mechanisms of network alterations remain unclear. In the present study, we evaluated neuropsychological, imaging, and cerebrospinal fluid (CSF) data at baseline across a cohort of: 21 pMCI patients, 33 stable MCI (sMCI) patients, and 29 normal controls. Fast eigenvector centrality mapping (fECM) based on resting-state functional MRI (rsfMRI) was used to investigate brain network organization differences among these groups, and we further assessed its relation to cognition and AD-related pathology...
October 18, 2016: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/27582703/identifying-the-alteration-patterns-of-brain-functional-connectivity-in-progressive-mild-cognitive-impairment-patients-a-longitudinal-whole-brain-voxel-wise-degree-analysis
#15
Yanjia Deng, Kai Liu, Lin Shi, Yi Lei, Peipeng Liang, Kuncheng Li, Winnie C W Chu, Defeng Wang
Patients with mild cognitive impairment (MCI) are at high risk for developing Alzheimer's disease (AD), while some of them may remain stable over decades. The underlying mechanism is still not fully understood. In this study, we aimed to explore the connectivity differences between progressive MCI (PMCI) and stable MCI (SMCI) individuals on a whole-brain scale and on a voxel-wise basis, and we also aimed to reveal the differential dynamic alteration patterns between these two disease subtypes. The resting-state functional magnetic resonance images of PMCI and SMCI patients at baseline and year-one were obtained from the Alzheimer's Disease Neuroimaging Initiative dataset, and the progression was determined based on a 3-year follow-up...
2016: Frontiers in Aging Neuroscience
https://www.readbyqxmd.com/read/27410431/the-effect-of-the-apoe-genotype-on-individual-brainage-in-normal-aging-mild-cognitive-impairment-and-alzheimer-s-disease
#16
Luise Christine Löwe, Christian Gaser, Katja Franke
In our aging society, diseases in the elderly come more and more into focus. An important issue in research is Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD) with their causes, diagnosis, treatment, and disease prediction. We applied the Brain Age Gap Estimation (BrainAGE) method to examine the impact of the Apolipoprotein E (APOE) genotype on structural brain aging, utilizing longitudinal magnetic resonance image (MRI) data of 405 subjects from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database...
2016: PloS One
https://www.readbyqxmd.com/read/27178195/disrupted-network-topology-in-patients-with-stable-and-progressive-mild-cognitive-impairment-and-alzheimer-s-disease
#17
MULTICENTER STUDY
Joana B Pereira, Mite Mijalkov, Ehsan Kakaei, Patricia Mecocci, Bruno Vellas, Magda Tsolaki, Iwona Kloszewska, Hilka Soininen, Christian Spenger, Simmon Lovestone, Andrew Simmons, Lars-Olof Wahlund, Giovanni Volpe, Eric Westman
Recent findings suggest that Alzheimer's disease (AD) is a disconnection syndrome characterized by abnormalities in large-scale networks. However, the alterations that occur in network topology during the prodromal stages of AD, particularly in patients with stable mild cognitive impairment (MCI) and those that show a slow or faster progression to dementia, are still poorly understood. In this study, we used graph theory to assess the organization of structural MRI networks in stable MCI (sMCI) subjects, late MCI converters (lMCIc), early MCI converters (eMCIc), and AD patients from 2 large multicenter cohorts: ADNI and AddNeuroMed...
August 2016: Cerebral Cortex
https://www.readbyqxmd.com/read/27060953/searching-for-primary-predictors-of-conversion-from-mild-cognitive-impairment-to-alzheimer-s-disease-a-multivariate-follow-up-study
#18
María Eugenia López, Agustín Turrero, Pablo Cuesta, David López-Sanz, Ricardo Bruña, Alberto Marcos, Pedro Gil, Miguel Yus, Ana Barabash, José Antonio Cabranes, Fernando Maestú, Alberto Fernández
Recent proposals of diagnostic criteria within the healthy aging-Alzheimer's disease (AD) continuum stressed the role of biomarker information. More importantly, such information might be critical to predict those mild cognitive impairment (MCI) patients at a higher risk of conversion to AD. Usually, follow-up studies utilize a reduced number of potential markers although the conversion phenomenon may be deemed as multifactorial in essence. In addition, not only biological but also cognitive markers may play an important role...
March 5, 2016: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/26987816/facial-emotion-recognition-and-its-relationship-to-cognition-and-depressive-symptoms-in-patients-with-parkinson-s-disease
#19
J Pietschnig, L Schröder, I Ratheiser, I Kryspin-Exner, M Pflüger, D Moser, E Auff, W Pirker, G Pusswald, J Lehrner
BACKGROUND: Impairments in facial emotion recognition (FER) have been detected in patients with Parkinson disease (PD). Presently, we aim at assessing differences in emotion recognition performance in PD patient groups with and without mild forms of cognitive impairment (MCI) compared to healthy controls. METHODS: Performance on a concise emotion recognition test battery (VERT-K) of three groups of 97 PD patients was compared with an age-equivalent sample of 168 healthy controls...
July 2016: International Psychogeriatrics
https://www.readbyqxmd.com/read/26923024/prediction-of-progressive-mild-cognitive-impairment-by-multi-modal-neuroimaging-biomarkers
#20
Lele Xu, Xia Wu, Rui Li, Kewei Chen, Zhiying Long, Jiacai Zhang, Xiaojuan Guo, Li Yao
For patients with mild cognitive impairment (MCI), the likelihood of progression to probable Alzheimer's disease (AD) is important not only for individual patient care, but also for the identification of participants in clinical trial, so as to provide early interventions. Biomarkers based on various neuroimaging modalities could offer complementary information regarding different aspects of disease progression. The current study adopted a weighted multi-modality sparse representation-based classification method to combine data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database, from three imaging modalities: Volumetric magnetic resonance imaging (MRI), fluorodeoxyglucose (FDG) positron emission tomography (PET), and florbetapir PET...
2016: Journal of Alzheimer's Disease: JAD
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