Article
Behavioral Sciences
Mitchell W. Isaacs, Laurel J. Buxbaum, Aaron L. Wong
Summary: Imitating observed actions is an efficient method for learning novel movements. This study investigated the role of proprioception in imitation and found that representing movement goals proprioceptively is crucial for successful imitation. Patients with apraxia, a neurological disorder commonly seen after left hemisphere stroke, showed deficits in representing and accessing proprioceptive goals, which contributed to their imitation impairments.
Article
Behavioral Sciences
Claudia C. Schmidt, Elisabeth I. S. Achilles, Gereon R. Fink, Peter H. Weiss
Summary: Apraxia is a multi-componential syndrome characterized by deficits in higher motor functions, primarily caused by left hemisphere lesions. This study analyzed different profiles of apraxia and related motor-cognitive processes following LH stroke, revealing specific lesion patterns associated with various components. The results suggest that apraxia represents impaired motor-cognitive processes that partially dissociate from language processes and are associated with distinct lesion patterns following LH stroke.
Article
Psychology
Josselin Baumard, Mathieu Lesourd, Chrystelle Remigereau, Laetitia Laurent, Christophe Jarry, Frederique Etcharry-Bouyx, Valerie Chauvire, Francois Osiurak, Didier Le Gall
Summary: This study examined specific imitation deficits in patients with different forms of dementia and found that the patterns of deficits varied across different disease groups. The findings provide a new foundation for future research to investigate the underlying neurocognitive mechanisms responsible for specific imitation impairments.
COGNITIVE NEUROPSYCHOLOGY
(2022)
Article
Biotechnology & Applied Microbiology
Ze-Jian Chen, Chang He, Nan Xia, Ming-Hui Gu, Yang-An Li, Cai-Hua Xiong, Jiang Xu, Xiao-Lin Huang
Summary: The study revealed that kinematic components during the finger-to-nose test are associated with upper extremity motor function in subacute stroke survivors. Three principal components, accounting for 91.3% variance, include metrics such as mean velocity, peak velocity, number of movement units, and normalized integrated jerk.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2021)
Article
Biochemical Research Methods
Kuangnan Fang, Rui Ren, Qingzhao Zhang, Shuangge Ma
Summary: Dimension reduction techniques like PCA, PLS, and CCA are extensively used in the analysis of high-dimensional omics data. Integrative analysis, which outperforms meta-analysis and individual-data analysis, has been developed for multiple datasets with compatible designs. We developed the R package iSFun to facilitate integrative dimension reduction analysis, offering comprehensive analysis options under different models and penalties.
Article
Computer Science, Artificial Intelligence
Pei Li, Wenlin Zhang, Chengjun Lu, Rui Zhang, Xuelong Li
Summary: A novel robust kernel principal component analysis method with optimal mean (RKPCA-OM) is proposed to enhance the robustness of KPCA by automatically eliminating the optimal mean. The theoretical proof guarantees the convergence of the algorithm and the obtained optimal subspaces and means. Exhaustive experimental results validate the superiority of the proposed method.
Article
Multidisciplinary Sciences
Israel Martinez-Nicolas, Francisco Martinez-Sanchez, Olga Ivanova, Juan J. G. Meilan
Summary: Age-related cognitive impairment has become more common, leading to an interest in developing screening tools for mild cognitive impairment and Alzheimer's disease. Speech analysis can identify speech production pathologies such as dementia by exploiting the behavioral consequences of cognitive deficits. Combining impairments in multiple speech production tasks has been found to improve the accuracy of screening through speech analysis, making it a promising tool for dementia screening.
SCIENTIFIC REPORTS
(2023)
Article
Environmental Sciences
Fan Wu, Zhicheng Zhuang, Hsin-Lung Liu, Yan-Chyuan Shiau
Summary: With the rapid urbanization, the conflict between water supply and demand, as well as water pollution, have become increasingly prominent, putting pressure on water resources carrying capacity. Balancing the relationship between water resources and economic society is crucial for sustainable urban development. The study revealed a decrease in water resources carrying capacity in Huai'an City year by year, and proposed recommendations and measures to improve it, providing important decision-making basis for the coordinated development of urban economy, society, and water resources.
Article
Behavioral Sciences
Elisabeth Rounis, Ajay Halai, Gloria Pizzamiglio, Matthew A. Lambon Ralph
Summary: Limb apraxia, a disorder of skilled action, involves deficits in action selection, semantic control, and multi-demand sequencing, with potential common and specific neural bases. Further research using techniques like lesion symptom mapping may help elucidate the cognitive processes underlying limb apraxia and its relationship with other cognitive disorders.
Review
Behavioral Sciences
Josselin Baumard, Didier Le Gall
Summary: The diagnosis of limb apraxia is challenging due to the diverse definitions and assessment methods. It is suggested to focus on symptoms and propose two complementary definition criteria. Limb apraxia can be categorized into symptomatic and idiopathic types, with limb-kinetic apraxia fulfilling exclusion, specificity, and consistency criteria.
Article
Engineering, Chemical
Abdalhamid Rahoma, Syed Imtiaz, Salim Ahmed
Summary: Sparse principal component analysis (SPCA) provides a sparse description of the loading matrix. This article proposes two methods to calculate confidence intervals of the loading values, which outperform traditional PCA and benchmark SPCA methods in fault detection and diagnosis.
CHEMICAL ENGINEERING SCIENCE
(2021)
Article
Clinical Neurology
Sungyang Jo, Jungsu S. Oh, E-Nae Cheong, Hyung Ji Kim, Sunju Lee, Minyoung Oh, Jae Seung Kim, Sun Ju Chung, Chong S. Lee, Miseon Kwon, Dongwha Kang, Jae-Hong Lee
Summary: This study used FDG-PET to reveal distinct glucose hypometabolism patterns in ideomotor and imitation apraxia subtypes in CBS patients. Patients with both ideomotor and imitation apraxia were more likely to exhibit the typical features of CBS and progressive supranuclear palsy compared to those with only one type of apraxia. These findings contribute to our understanding of the brain networks underlying apraxia in relation to the clinical features of CBS.
PARKINSONISM & RELATED DISORDERS
(2021)
Article
Multidisciplinary Sciences
Makoto Mizuno, Hideaki Aoyama, Yoshi Fujiwara
Summary: This study introduces a novel method called complex Hilbert principal component analysis (CHPCA) and constructs a synchronization network using Hodge decomposition, which enables the extraction of significant comovements with a time lead/delay in high-dimensional data and identification of the time-structure of correlations. Applied to Japanese beer market data, this method reveals co-movements across multiple products in the consumer choice process and uncovers remarkable customer heterogeneity.
Article
Biochemical Research Methods
Charles C. David, Chris S. Avery, Donald J. Jacobs
Summary: JEDi software is an upgraded tool that employs multithreading and user-friendly interface for rapid investigation of conformational motions of biopolymers, including multiple chain proteins. It offers options for Cartesian-based coordinates (cPCA) and internal distance pair coordinates (dpPCA) to construct covariance, correlation, and partial correlation matrices.
BMC BIOINFORMATICS
(2021)
Article
Biochemical Research Methods
Rola Houhou, Petra Rosch, Jurgen Popp, Thomas Bocklitz
Summary: In this study, Raman spectral data were analyzed using B-spline basis functions for approximation, followed by functional principal component analysis and linear discriminant analysis (FPCA-LDA) compared to classical PCA-LDA. Results showed that FPCA-LDA had higher mean sensitivities than PCA-LDA, especially with low signal-to-noise ratio and small peak shifts. However, both methods performed equally with higher signal-to-noise ratio, and a slight improvement was observed when FPCA-LDA was applied to experimental Raman data.
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
(2021)
Article
Clinical Neurology
Patrick Oeckl, Patrick Weydt, Petra Steinacker, Sarah Anderl-Straub, Frida Nordin, Alexander E. Volk, Janine Diehl-Schmid, Peter M. Andersen, Johannes Kornhuber, Adrian Danek, Klaus Fassbender, Klaus Fliessbach, Holger Jahn, Martin Lauer, Kathrin Mueller, Antje Knehr, Johannes Prudlo, Anja Schneider, Dietmar R. Thal, Deniz Yilmazer-Hanke, Jochen H. Weishaupt, Albert C. Ludolph, Markus Otto
JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY
(2019)
Article
Biochemistry & Molecular Biology
Timo Grimmer, Kuangyu Shi, Janine Diehl-Schmid, Bianca Natale, Alexander Drzezga, Stefan Foerster, Hans Foerstl, Markus Schwaiger, Igor Yakushev, Hans-Juergen Wester, Alexander Kurz, Behrooz Hooshyar Yousefi
MOLECULAR PSYCHIATRY
(2020)
Correction
Biochemistry & Molecular Biology
Timo Grimmer, Kuangyu Shi, Janine Diehl-Schmid, Bianca Natale, Alexander Drzezga, Stefan Foerster, Hans Foerstl, Markus Schwaiger, Igor Yakushev, Hans-Juergen Wester, Alexander Kurz, Behrooz Hooshyar Yousefi
MOLECULAR PSYCHIATRY
(2020)
Article
Clinical Neurology
Cyril Pottier, Yingxue Ren, Ralph B. Perkerson, Matt Baker, Gregory D. Jenkins, Marka van Blitterswijk, Mariely DeJesus-Hernandez, Jeroen G. J. van Rooij, Melissa E. Murray, Elizabeth Christopher, Shannon K. McDonnell, Zachary Fogarty, Anthony Batzler, Shulan Tian, Cristina T. Vicente, Billie Matchett, Anna M. Karydas, Ging-Yuek Robin Hsiung, Harro Seelaar, Merel O. Mol, Elizabeth C. Finger, Caroline Graff, Linn Oijerstedt, Manuela Neumann, Peter Heutink, Matthis Synofzik, Carlo Wilke, Johannes Prudlo, Patrizia Rizzu, Javier Simon-Sanchez, Dieter Edbauer, Sigrun Roeber, Janine Diehl-Schmid, Bret M. Evers, Andrew King, M. Marsel Mesulam, Sandra Weintraub, Changiz Geula, Kevin F. Bieniek, Leonard Petrucelli, Geoffrey L. Ahern, Eric M. Reiman, Bryan K. Woodruff, Richard J. Caselli, Edward D. Huey, Martin R. Farlow, Jordan Grafman, Simon Mead, Lea T. Grinberg, Salvatore Spina, Murray Grossman, David J. Irwin, Edward B. Lee, EunRan Suh, Julie Snowden, David Mann, Nilufer Ertekin-Taner, Ryan J. Uitti, Zbigniew K. Wszolek, Keith A. Josephs, Joseph E. Parisi, David S. Knopman, Ronald C. Petersen, John R. Hodges, Olivier Piguet, Ethan G. Geier, Jennifer S. Yokoyama, Robert A. Rissman, Ekaterina Rogaeva, Julia Keith, Lorne Zinman, Maria Carmela Tartaglia, Nigel J. Cairns, Carlos Cruchaga, Bernardino Ghetti, Julia Kofler, Oscar L. Lopez, Thomas G. Beach, Thomas Arzberger, Jochen Herms, Lawrence S. Honig, Jean Paul Vonsattel, Glenda M. Halliday, John B. Kwok, Charles L. White, Marla Gearing, Jonathan Glass, Sara Rollinson, Stuart Pickering-Brown, Jonathan D. Rohrer, John Q. Trojanowski, Vivianna Van Deerlin, Eileen H. Bigio, Claire Troakes, Safa Al-Sarraj, Yan Asmann, Bruce L. Miller, Neill R. Graff-Radford, Bradley F. Boeve, William W. Seeley, Ian R. A. Mackenzie, John C. van Swieten, Dennis W. Dickson, Joanna M. Biernacka, Rosa Rademakers
ACTA NEUROPATHOLOGICA
(2019)
Article
Psychiatry
M. H. D. Rami Al Shweiki, Petra Steinacker, Patrick Oeckl, Bastian Hengerer, Adrian Danek, Klaus Fassbender, Janine Diehl-Schmid, Holger Jahn, Sarah Anderl-Straub, Albert C. Ludolph, Carlos Schoenfeldt-Lecuona, Markus Otto
JOURNAL OF PSYCHIATRIC RESEARCH
(2019)
Article
Psychiatry
Janine Diehl-Schmid, Abigail Licata, Oliver Goldhardt, Hans Foerstl, Igor Yakushew, Markus Otto, Sarah Anderl-Straub, Ambros Beer, Albert Christian Ludolph, Georg Bernhard Landwehrmeyer, Johannes Levin, Adrian Danek, Klaus Fliessbach, Annika Spottke, Klaus Fassbender, Epameinondas Lyros, Johannes Prudlo, Bernd Joachim Krause, Alexander Volk, Dieter Edbauer, Matthias Leopold Schroeter, Alexander Drzezga, Johannes Kornhuber, Martin Lauer, Nibal Ackl, Christine V. Arnim, Joachim Brumberg, Florian Gaertner, Holger Jahn, Elisabeth Kasper, Jan Kassubek, Catharina Prix, Lina Riedl, Carola Rossmeier, Sonja Schoenecker, Elisa Semler, Stefan Teipel, Christine Westerteicher, Elisabeth Wlasich, Timo Grimmer
TRANSLATIONAL PSYCHIATRY
(2019)
Article
Engineering, Biomedical
Nina Rohrbach, Philipp Gulde, Alan Robert Armstrong, Linda Hartig, Anas Abdelrazeq, Stefan Schroeder, Johanne Neuse, Timo Grimmer, Janine Diehl-Schmid, Joachim Hermsdoerfer
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2019)
Article
Behavioral Sciences
Franziska Albrecht, Karsten Mueller, Tommaso Ballarini, Leonie Lampe, Janine Diehl-Schmid, Klaus Fassbender, Klaus Fliessbach, Holger Jahn, Robert Jech, Jan Kassubek, Johannes Kornhuber, Bernhard Landwehrmeyer, Martin Lauer, Albert C. Ludolph, Epameinondas Lyros, Johannes Prudlo, Anja Schneider, Matthis Synofzik, Jens Wiltfang, Adrian Danek, Markus Otto, Matthias L. Schroeter, Sarah Anderl-Straub, Katharina Brueggen, Marie Fischer, Hans Foerstl, Anke Hammer, Gyoergy Homola, Walter Just, Johannes Levin, Nicolai Marroquin, Anke Marschhauser, Magdalena Nagl, Timo Oberstein, Maryna Polyakova, Hannah Pellkofer, Tanja Richter-Schmidinger, Carola Rossmeier, Katharina Schuemberg, Elisa Semler, Annika Spottke, Petra Steinacker, Angelika Thoene-Otto, Ingo Uttner, Heike Zech
Article
Clinical Neurology
Abigail Licata, Timo Grimmer, Juliane Winkelmann, Matias Wagner, Oliver Goldhardt, Lina Riedl, Carola Rossmeier, Igor Yakushev, Janine Diehl-Schmid
AMYOTROPHIC LATERAL SCLEROSIS AND FRONTOTEMPORAL DEGENERATION
(2020)
Article
Health Care Sciences & Services
Rhoda Lai, Maria Tensil, Alexander Kurz, Nicola T. Lautenschlager, Janine Diehl-Schmid
JMIR MHEALTH AND UHEALTH
(2020)
Article
Neuroimaging
Felix Mueller-Sarnowski, Nico Sollmann, Axel Schroeder, Leen Houri, Sebastian Ille, Timo Grimmer, Sandro M. Krieg, Janine Diehl-Schmid
Summary: In this study using navigated repetitive transcranial magnetic stimulation (nrTMS) for language mapping in primary progressive aphasia (PPA) patients, a higher error rate was induced in the right hemisphere of patients with non-fluent variant of PPA. This suggests the presence of neuronal plasticity in nfvPPA and may indicate future therapeutic targets for neurodegenerative disorders.
BRAIN IMAGING AND BEHAVIOR
(2022)
Article
Multidisciplinary Sciences
Grace Wei, Janine Diehl-Schmid, Jordi A. Matias-Guiu, Yolande Pijnenburg, Ramon Landin-Romero, Hans Bogaardt, Olivier Piguet, Fiona Kumfor
Summary: The COVID-19 pandemic and its restrictions have negatively affected dementia patients and their caregivers, worsening neuropsychiatric symptoms in patients and causing mental health decline and increased stress in caregivers.
SCIENTIFIC REPORTS
(2022)
Article
Psychology, Developmental
Clara Dominke, Alina Maria Fischer, Timo Grimmer, Janine Diehl-Schmid, Thomas Jahn
Summary: Depression and dementia of the Alzheimer's type are common neuropsychiatric disorders in elderly patients, but their overlapping symptoms make accurate diagnosis challenging. This study used machine learning algorithms and neuropsychological test data to predict the diagnoses of elderly patients, and found that machine learning algorithms can accurately differentiate between depression and dementia, but do not necessarily outperform conventional logistic regression.
AGING NEUROPSYCHOLOGY AND COGNITION
(2022)
Article
Neurosciences
Tomaz Rus, Matej Perovnik, An Vo, Nha Nguyen, Chris Tang, Jan Jamsek, Katarina Surlan Popovic, Timo Grimmer, Igor Yakushev, Janine Diehl-Schmid, David Eidelberg, Maja Trost
Summary: Behavioral variant of frontotemporal dementia (bvFTD) is a common type of young-onset dementia. A specific multivariate metabolic brain pattern (bFDRP) has been identified in patients with bvFTD, and its evolution, internal structure, effect of atrophy, and relationship with other resting state networks have been explored. These findings have important implications for the diagnosis and prognosis of bvFTD.
HUMAN BRAIN MAPPING
(2023)
Article
Geriatrics & Gerontology
Konstantin Kotliar, Marion Ortner, Anna Conradi, Patricia Hacker, Christine Hauser, Roman Guenthner, Michaela Moser, Claudia Muggenthaler, Janine Diehl-Schmid, Josef Priller, Christoph Schmaderer, Timo Grimmer
Summary: This study aimed to investigate whether retinal vessel oscillations are altered in Alzheimer's disease (AD) during the stages of dementia and mild cognitive impairment (MCI). The results showed that arterial oscillations at moderately low frequencies significantly prevailed in AD and MCI patients compared to healthy controls, and were correlated with disease severity. This suggests a compensatory upregulation of paravascular drainage in AD and supports the amyloid clearance hypothesis.
NEUROBIOLOGY OF AGING
(2022)
