Article
Computer Science, Artificial Intelligence
Bo Zhang, Yunpeng Tan, Hui Wang, Zheng Zhang, Xiuzhuang Zhou, Jingyun Wu, Yue Mi, Haiwen Huang, Wendong Wang
Summary: In this paper, a novel meta-learning-based multi-source domain adaptation framework for medical image segmentation is proposed to overcome the impact of domain shift. The framework includes a domain discriminator module and an image reconstruction module. Experimental results on a large-scale multi-modal prostate dataset demonstrate that the proposed method achieves better segmentation and generalization performance compared to state-of-the-art approaches.
PATTERN RECOGNITION
(2022)
Article
Computer Science, Artificial Intelligence
Bo Zhang, Yunpeng Tan, Hui Wang, Zheng Zhang, Xiuzhuang Zhou, Jingyun Wu, Yue Mi, Haiwen Huang, Wendong Wang
Summary: Researchers proposed a novel meta-learning-based multi-source domain adaptation framework for medical image segmentation, which includes a domain discriminator module and an image reconstruction module. They constructed a large-scale multi-modal prostate dataset and evaluated their proposed method through experiments.
PATTERN RECOGNITION
(2022)
Article
Multidisciplinary Sciences
Kulam Najmudeen Magdoom, Sinisa Pajevic, Gasbarra Dario, Peter J. Basser
Summary: The study introduces a new theoretical framework and experimental design to describe and measure the structural heterogeneity and anisotropy within MRI voxels. A constrained normal tensor-variate distribution is proposed to model the variability of diffusion tensors within a voxel, enhancing the richness of diffusion tensor distribution paradigm. By synthesizing realistic numerical phantoms and inverting MR signals, the study demonstrates the robustness and feasibility of the proposed method. The use of Monte Carlo scheme and signal inversion technique can contribute to a more accurate understanding of water diffusion processes within the body.
SCIENTIFIC REPORTS
(2021)
Article
Business, Finance
Florian Otto, Joelson Oliveira Sampaio, Vinicius Augusto Brunassi Silva
Summary: This study aims to develop a global understanding of the impact of acquisition announcements on both developed and emerging market acquirers using a multi-country set of acquirers from 14 different markets. The results of the study contradict the conventional wisdom that developed-market acquirers generally experience losses.
FINANCE RESEARCH LETTERS
(2021)
Article
Nursing
Natalie Pattison, Christi Deaton, Candy McCabe, Vivien Coates, Bridget Johnston, Fiona Nolan, Lisa Whiting, Michelle Briggs
Summary: The study shows that only a small percentage of nurses in UK universities are involved in clinical practice, and they face difficulties in obtaining research funding. Clinical academic nurse leaders play a crucial role in shaping and influencing modern UK healthcare settings, advocating for the value of these roles in the nursing discipline.
JOURNAL OF CLINICAL NURSING
(2022)
Article
Engineering, Multidisciplinary
Hening Huang
Summary: This paper proposes a propensity-based framework for measurement uncertainty analysis. The measurand is regarded as a random variable characterized by central tendency and dispersion. The state of propensity is described by a probability density function (PDF). The framework encodes the state of propensity of the measurand based on all available information about influence quantities.
Article
Mathematical & Computational Biology
Rajasekaran Bhavna, Mahendra Sonawane
Summary: Microridges are conserved actin-rich protrusions on the apical surface of squamous epithelial cells. Using deep learning microridge segmentation, we quantitatively studied their bio-physical-mechanical characteristics. We estimated an effective microridge persistence length of approximately 6.1 μm and discovered mechanical fluctuations and greater stresses in yolk patterns compared to flank, indicating distinct regulation of their actomyosin networks. Furthermore, spontaneous formations and positional fluctuations of actin clusters within microridges were associated with pattern rearrangements over short length/time-scales. Our framework enables large-scale spatiotemporal analysis of microridges and investigation of their patterning mechanisms in response to chemical and genetic perturbations.
NPJ SYSTEMS BIOLOGY AND APPLICATIONS
(2023)
Article
Engineering, Industrial
Changcong Zhou, Hanlin Zhang, Marcos A. Valdebenito, Haodong Zhao
Summary: This paper introduces a general hierarchical ensemble-learning framework (ELF) for reliability analysis, which consists of two-layer models and three different phases. A novel method called CESM-ELF is proposed by embedding the classical ensemble of surrogate models (CESM) in the proposed ELF. The research results show that CESM-ELF outperforms CESM in prediction accuracy and is more efficient.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Civil
N. A. Nodargi, P. Bisegna
Summary: An original computational framework is presented for the minimum thrust analysis of axisymmetric masonry domes with arbitrary meridian curve, incorporating the ability to handle arbitrary meridional stereotomy and efficiently solve a Linear Programming problem for various dome shapes. The formulation provides a unified framework for deriving competing formulations available in literature, leading to a robust computational approach for parametric analyses and real case applications.
ENGINEERING STRUCTURES
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Tae-Hoon Kim, Youe Ree Kim, Chang-Won Jeong, Hyung Joong Kim, Jin Woong Kim, Young Hwan Lee, Kwon-Ha Yoon
Summary: This study evaluated the regional analysis of liver surface nodularity (LSN) and processing time in a single liver MR image for staging liver fibrosis. The results showed that regional LSN measurement significantly reduced the processing time compared to mean LSN measurement. The regional LSN score in ROI5 showed the highest accuracy and best correlation with mean LSN score for distinguishing early and advanced fibrosis in the liver.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2022)
Review
Green & Sustainable Science & Technology
Pengfei Shi, Alan Bairner
Summary: This paper conducts a scoping review of Olympic sport participation legacy studies between 2000 and 2021 to identify the progress of studies on the sustainability of Olympic sport participation legacies. The review finds that achieving a sustainable Olympic sport participation legacy requires collaboration and long-term planning among governments, community organizations, and other stakeholders.
Article
Computer Science, Interdisciplinary Applications
Sina Amirrajab, Yasmina Al Khalil, Cristian Lorenz, Jurgen Weese, Josien Pluim, Marcel Breeuwer
Summary: This study develops a flexible framework for simulating cardiac magnetic resonance images with variable anatomical and imaging characteristics to create a diverse virtual population. The proposed framework generates a substantial number of cardiac MR images with ground truth labels, suitable for downstream supervised tasks. The experiments demonstrate that training with simulated images can perform comparably to a model trained with real images for heart cavity segmentation in mid-ventricular slices, and can be used in addition to classical augmentation for boosting performance when training data is limited.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2023)
Article
Engineering, Biomedical
Lijun Qian, Qing Zhou, Xiaohuan Cao, Wenjun Shen, Shiteng Suo, Shanshan Ma, Guoxiang Qu, Xuhua Gong, Yunqi Yan, Jianrong Xu, Luan Jiang
Summary: A cascade network framework composed of a de-enhancement network and a registration network is proposed for efficient registration of liver images in DCE-MRI. Experimental results show that the method improves efficiency while maintaining registration performance.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
(2021)
Article
Computer Science, Information Systems
Fei Yan Li, Weisheng Li, Xinbo Gao, Bin Xiao
Summary: This study proposes a segmentation method based on deep neural networks to address the issues of over-segmentation and under-segmentation in cardiac magnetic resonance images. Experimental results show high Dice coefficients in the segmentation tasks.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2022)
Article
Engineering, Electrical & Electronic
Wei Lang, Xiangchao Zhang, Yunuo Chen, Ting Chen, Zhifei Hu, Xiangqian Jiang
Summary: A general reconstruction framework is proposed for deflectometric measurement based on nonuniform B-spline (NUBS) embedding into the phase measuring deflectometry (PMD) framework to enhance local representativity. Correspondences between the screen, camera, and workpiece points are established through parameter mapping instead of ray intersections. Simulations and experiments demonstrate the effectiveness of the proposed method, achieving a measurement accuracy of 100 nm in practice.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Neurosciences
Danai Dima, Amirhossein Modabbernia, Efstathios Papachristou, Gaelle E. Doucet, Ingrid Agartz, Moji Aghajani, Theophilus N. Akudjedu, Anton Albajes-Eizagirre, Dag Alnaes, Kathryn Alpert, Micael Andersson, Nancy C. Andreasen, Ole A. Andreassen, Philip Asherson, Tobias Banaschewski, Nuria Bargallo, Sarah Baumeister, Ramona Baur-Streubel, Alessandro Bertolino, Aurora Bonvino, Dorret Boomsma, Stefan Borgwardt, Josiane Bourque, Daniel Brandeis, Alan Breier, Henry Brodaty, Rachel M. Brouwer, Jan K. Buitelaar, Geraldo F. Busatto, Randy L. Buckner, Vincent Calhoun, Erick J. Canales-Rodriguez, Dara M. Cannon, Xavier Caseras, Francisco X. Castellanos, Simon Cervenka, Tiffany M. Chaim-Avancini, Christopher R. K. Ching, Victoria Chubar, Vincent P. Clark, Patricia Conrod, Annette Conzelmann, Benedicto Crespo-Facorro, Fabrice Crivello, Eveline A. Crone, Anders M. Dale, Cristopher Davey, Eco J. C. de Geus, Lieuwe de Haan, Greig de Zubicaray, Anouk den Braber, Erin W. Dickie, Annabella Di Giorgio, Nhat Trung Doan, Erlend S. Dorum, Stefan Ehrlich, Susanne Erk, Thomas Espeseth, Helena Fatouros-Bergman, Simon E. Fisher, Jean-Paul Fouche, Barbara Franke, Thomas Frodl, Paola Fuentes-Claramonte, David C. Glahn, Ian H. Gotlib, Hans-Joergen Grabe, Oliver Grimm, Nynke A. Groenewold, Dominik Grotegerd, Oliver Gruber, Patricia Gruner, Rachel E. Gur, Ruben C. Gur, Ben J. Harrison, Catharine A. Hartman, Sean N. Hatton, Andreas Heinz, Dirk J. Heslenfeld, Derrek P. Hibar, Ian B. Hickie, Beng-Choon Ho, Pieter J. Hoekstra, Sarah Hohmann, Avram J. Holmes, Martine Hoogman, Norbert Hosten, Fleur M. Howells, Hilleke E. Hulshoff Pol, Chaim Huyser, Neda Jahanshad, Anthony James, Terry L. Jernigan, Jiyang Jiang, Erik G. Jonsson, John A. Joska, Rene Kahn, Andrew Kalnin, Ryota Kanai, Marieke Klein, Tatyana P. Klyushnik, Laura Koenders, Sanne Koops, Bernd Kraemer, Jonna Kuntsi, Jim Lagopoulos, Luisa Lazaro, Irina Lebedeva, Won Hee Lee, Klaus-Peter Lesch, Christine Lochner, Marise W. J. Machielsen, Sophie Maingault, Nicholas G. Martin, Ignacio Martinez-Zalacain, David Mataix-Cols, Bernard Mazoyer, Colm McDonald, Brenna C. McDonald, Andrew M. McIntosh, Katie L. McMahon, Genevieve McPhilemy, Jose M. Menchon, Sarah E. Medland, Andreas Meyer-Lindenberg, Jilly Naaijen, Pablo Najt, Tomohiro Nakao, Jan E. Nordvik, Lars Nyberg, Jaap Oosterlaan, Victor Ortiz-Garcia De la Foz, Yannis Paloyelis, Paul Pauli, Giulio Pergola, Edith Pomarol-Clotet, Maria J. Portella, Steven G. Potkin, Joaquim Radua, Andreas Reif, Daniel A. Rinker, Joshua L. Roffman, Pedro G. P. Rosa, Matthew D. Sacchet, Perminder S. Sachdev, Raymond Salvador, Pascual Sanchez-Juan, Salvador Sarro, Theodore D. Satterthwaite, Andrew J. Saykin, Mauricio H. Serpa, Lianne Schmaal, Knut Schnell, Gunter Schumann, Kang Sim, Jordan W. Smoller, Iris Sommer, Carles Soriano-Mas, Dan J. Stein, Lachlan T. Strike, Suzanne C. Swagerman, Christian K. Tamnes, Henk S. Temmingh, Sophia Thomopoulos, Alexander S. Tomyshev, Diana Tordesillas-Gutierrez, Julian N. Trollor, Jessica A. Turner, Anne Uhlmann, Odile A. van den Heuvel, Dennis van den Meer, Nic J. A. van der Wee, Neeltje E. M. van Haren, Dennis Van't Ent, Theo G. M. van Erp, Ilya M. Veer, Dick J. Veltman, Aristotle Voineskos, Henry Voelzke, Henrik Walter, Esther Walton, Lei Wang, Yang Wang, Thomas H. Wassink, Bernd Weber, Wei Wen, John D. West, Lars T. Westlye, Heather Whalley, Lara M. Wierenga, Steven C. R. Williams, Katharina Wittfeld, Daniel H. Wolf, Amanda Worker, Margaret J. Wright, Kun Yang, Yulyia Yoncheva, Marcus Zanetti, Georg C. Ziegler, Paul M. Thompson, Sophia Frangou
Summary: Age has a significant impact on brain volume, with different regions showing varying trajectories. Basal ganglia volume decreases with age, while lateral ventricles continue to enlarge. These findings provide important insights into the functional significance of age-related morphometric patterns in the brain.
HUMAN BRAIN MAPPING
(2022)
Article
Neurosciences
Sophia Frangou, Amirhossein Modabbernia, Steven C. R. Williams, Efstathios Papachristou, Gaelle E. Doucet, Ingrid Agartz, Moji Aghajani, Theophilus N. Akudjedu, Anton Albajes-Eizagirre, Dag Alnaes, Kathryn Alpert, Micael Andersson, Nancy C. Andreasen, Ole A. Andreassen, Philip Asherson, Tobias Banaschewski, Nuria Bargallo, Sarah Baumeister, Ramona Baur-Streubel, Alessandro Bertolino, Aurora Bonvino, Dorret Boomsma, Stefan Borgwardt, Josiane Bourque, Daniel Brandeis, Alan Breier, Henry Brodaty, Rachel M. Brouwer, Jan K. Buitelaar, Geraldo F. Busatto, Randy L. Buckner, Vincent Calhoun, Erick J. Canales-Rodriguez, Dara M. Cannon, Xavier Caseras, Francisco X. Castellanos, Simon Cervenka, Tiffany M. Chaim-Avancini, Christopher R. K. Ching, Victoria Chubar, Vincent P. Clark, Patricia Conrod, Annette Conzelmann, Benedicto Crespo-Facorro, Fabrice Crivello, Eveline A. Crone, Anders M. Dale, Christopher Davey, Eco J. C. de Geus, Lieuwe de Haan, Greig de Zubicaray, Anouk den Braber, Erin W. Dickie, Annabella Di Giorgio, Nhat Trung Doan, Erlend S. Dorum, Stefan Ehrlich, Susanne Erk, Thomas Espeseth, Helena Fatouros-Bergman, Simon E. Fisher, Jean-Paul Fouche, Barbara Franke, Thomas Frodl, Paola Fuentes-Claramonte, David C. Glahn, Ian H. Gotlib, Hans-Joergen Grabe, Oliver Grimm, Nynke A. Groenewold, Dominik Grotegerd, Oliver Gruber, Patricia Gruner, Rachel E. Gur, Ruben C. Gur, Ben J. Harrison, Catharine A. Hartman, Sean N. Hatton, Andreas Heinz, Dirk J. Heslenfeld, Derrek P. Hibar, Ian B. Hickie, Beng-Choon Ho, Pieter J. Hoekstra, Sarah Hohmann, Avram J. Holmes, Martine Hoogman, Norbert Hosten, Fleur M. Howells, Hilleke E. Hulshoff Pol, Chaim Huyser, Neda Jahanshad, Anthony James, Terry L. Jernigan, Jiyang Jiang, Erik G. Jonsson, John A. Joska, Rene Kahn, Andrew Kalnin, Ryota Kanai, Marieke Klein, Tatyana P. Klyushnik, Laura Koenders, Sanne Koops, Bernd Kraemer, Jonna Kuntsi, Jim Lagopoulos, Luisa Lazaro, Irina Lebedeva, Won Hee Lee, Klaus-Peter Lesch, Christine Lochner, Marise W. J. Machielsen, Sophie Maingault, Nicholas G. Martin, Ignacio Martinez-Zalacain, David Mataix-Cols, Bernard Mazoyer, Colm McDonald, Brenna C. McDonald, Andrew M. McIntosh, Katie L. McMahon, Genevieve McPhilemy, Jose M. Menchon, Sarah E. Medland, Andreas Meyer-Lindenberg, Jilly Naaijen, Pablo Najt, Tomohiro Nakao, Jan E. Nordvik, Lars Nyberg, Jaap Oosterlaan, Victor Ortiz-Garcia de la Foz, Yannis Paloyelis, Paul Pauli, Giulio Pergola, Edith Pomarol-Clotet, Maria J. Portella, Steven G. Potkin, Joaquim Radua, Andreas Reif, Daniel A. Rinker, Joshua L. Roffman, Pedro G. P. Rosa, Matthew D. Sacchet, Perminder S. Sachdev, Raymond Salvador, Pascual Sanchez-Juan, Salvador Sarro, Theodore D. Satterthwaite, Andrew J. Saykin, Mauricio H. Serpa, Lianne Schmaal, Knut Schnell, Gunter Schumann, Kang Sim, Jordan W. Smoller, Iris Sommer, Carles Soriano-Mas, Dan J. Stein, Lachlan T. Strike, Suzanne C. Swagerman, Christian K. Tamnes, Henk S. Temmingh, Sophia Thomopoulos, Alexander S. Tomyshev, Diana Tordesillas-Gutierrez, Julian N. Trollor, Jessica A. Turner, Anne Uhlmann, Odile A. van den Heuvel, Dennis van den Meer, Nic J. A. van der Wee, Neeltje E. M. van Haren, Dennis van't Ent, Theo G. M. van Erp, Ilya M. Veer, Dick J. Veltman, Aristotle Voineskos, Henry Voelzke, Henrik Walter, Esther Walton, Lei Wang, Yang Wang, Thomas H. Wassink, Bernd Weber, Wei Wen, John D. West, Lars T. Westlye, Heather Whalley, Lara M. Wierenga, Katharina Wittfeld, Daniel H. Wolf, Amanda Worker, Margaret J. Wright, Kun Yang, Yulyia Yoncheva, Marcus Zanetti, Georg C. Ziegler, Paul M. Thompson, Danai Dima
Summary: The study used data from the ENIGMA Consortium to explore the relationship between age and cortical thickness, finding that most regions peak in cortical thickness during childhood, with a negative association between age and cortical thickness where the slope is steeper before the age of 30 and more gradual afterwards.
HUMAN BRAIN MAPPING
(2022)
Article
Psychology, Clinical
Michael Wainberg, Peter Zhukovsky, Sean L. Hill, Daniel Felsky, Aristotle Voineskos, Sidney Kennedy, Colin Hawco, Shreejoy J. Tripathy
Summary: This study utilizes data-driven analysis to explore symptom dimensions of major depression and identifies four replicable dimensions: negative cognition, functional impairment, insomnia, and atypical symptoms. These dimensions are associated with various psychiatric diagnoses and polygenic risk scores.
PSYCHOLOGICAL MEDICINE
(2023)
Article
Psychology, Clinical
Alastair J. Flint, Kathleen S. Bingham, Nicholas H. Neufeld, George S. Alexopoulos, Benoit H. Mulsant, Anthony J. Rothschild, Ellen M. Whyte, Aristotle N. Voineskos, Patricia Marino, Barnett S. Meyers
Summary: This study found a relationship between psychomotor disturbance (PMD) and poorer treatment outcomes in psychotic depression treated with sertraline plus olanzapine. A higher CORE total score at acute phase baseline was associated with a lower frequency of remission/near-remission, while a higher CORE total score at RCT baseline was associated with a higher frequency of relapse. Future research should investigate the neurobiology of PMD in psychotic depression in relation to treatment outcomes.
PSYCHOLOGICAL MEDICINE
(2022)
Review
Neurosciences
Lindsay D. Oliver, Colin Hawco, Joseph D. Viviano, Aristotle N. Voineskos
Summary: Patients with schizophrenia spectrum disorders often experience persistent social cognitive impairments, and there is a need for novel therapeutic strategies. Advances in functional connectivity mapping and electric field modeling allow for individualized treatment targets to be identified for maximum impact on social cognitive networks.
BIOLOGICAL PSYCHIATRY
(2022)
Article
Biochemistry & Molecular Biology
Michael Wainberg, Grace R. Jacobs, Aristotle N. Voineskos, Shreejoy J. Tripathy
Summary: This study explores the relationship between dimensional psychopathology and neurobiological, familial, and genetic risk factors in a large population of preadolescents. The findings suggest that specific dimensions of psychopathology are associated with decreased functional connectivity in certain brain networks, while family history indicators are associated with all dimensions. These findings are significant for understanding the trajectory of psychopathology during adolescence.
MOLECULAR PSYCHIATRY
(2022)
Article
Multidisciplinary Sciences
Peter Zhukovsky, Michael Wainberg, Milos Milic, Shreejoy J. Tripathy, Benoit H. Mulsant, Daniel Felsky, Aristotle N. Voineskos
Summary: This study compared the neural mechanisms underlying major depressive disorder (MDD), anxiety, and stress-related disorders. The results showed that MDD had the greatest differences in neural signatures, followed by anxiety and stress-related disorders. The neural signatures of MDD and anxiety disorders were highly similar, while stress-related disorders showed a distinct pattern. Controlling for genetic risk decreased the similarity between stress-related disorders and MDD/anxiety disorders. Cognitive impairment was associated with reduced within-network connectivity and increased between-network connectivity.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Psychology, Clinical
Ethan Shuster, Amy E. E. Miles, Lindsay K. K. Heyland, Navona Calarco, Jerrold Jeyachandra, Salim Mansour, Aristotle N. N. Voineskos, David C. C. Steffens, Yuliya S. S. Nikolova, Breno S. S. Diniz
Summary: In this cross-sectional study, we found that depression and frailty have a joint effect on brain structure, with significant microstructural changes in white matter tracts in the depression-frailty group. These findings suggest a potential common neuroinflammatory burden underlying the co-occurrence of depression and frailty in older adults.
INTERNATIONAL PSYCHOGERIATRICS
(2023)
Article
Psychiatry
Navona Calarco, Lindsay D. Oliver, Michael Joseph, Colin Hawco, Erin W. Dickie, Pamela DeRosse, James M. Gold, George Foussias, Miklos Argyelan, Anil K. Malhotra, Robert W. Buchanan, Aristotle N. Voineskos, SPINS Grp
Summary: This study found a strong relationship between white matter circuitry and neurocognition and social cognition. The microstructure of the uncinate fasciculus and the rostral body of the corpus callosum played a significant role in this relationship. The participant-wise estimates of white matter microstructure, weighted by cognitive performance, were consistent with the participants' diagnosis and predictive of functional outcomes.
SCHIZOPHRENIA BULLETIN
(2023)
Article
Clinical Neurology
Kathleen S. Bingham, Navona Calarco, Erin W. Dickie, George S. Alexopoulos, Meryl A. Butters, Barnett S. Meyers, Patricia Marino, Nicholas H. Neufeld, Anthony J. Rothschild, Ellen M. Whyte, Benoit H. Mulsant, Alastair J. Flint, Aristotle N. Voineskos
Summary: This study examined the relationship between white matter microstructure and relapse probability in psychotic depression and found that white matter microstructure is associated with relapse. However, it did not explain the association between psychomotor disturbance and relapse.
JOURNAL OF AFFECTIVE DISORDERS
(2023)
Review
Psychiatry
Tulip Marawi, Nicholas J. Ainsworth, Peter Zhukovsky, Neda Rashidi-Ranjbar, Tarek K. Rajji, Maria Carmela Tartaglia, Aristotle N. Voineskos, Benoit H. Mulsant
Summary: Most patients with late-life depression (LLD) have cognitive impairment, and at least one-third meet diagnostic criteria for mild cognitive impairment (MCI), a prodrome to Alzheimer's dementia (AD) and other neurodegenerative diseases. However, the mechanisms linking LLD and MCI, and brain alterations underlying impaired cognition in LLD and LLD + MCI remain poorly understood.
TRANSLATIONAL PSYCHIATRY
(2023)
Article
Clinical Neurology
Gemma Moffat, Peter Zhukovsky, Gillian Coughlan, Aristotle N. Voineskos
Summary: Pathological changes in the brain occur decades before cognitive symptoms appear in Alzheimer's disease. This study focuses on the early preclinical phases of neurodegeneration and identifies faster amyloid accumulation in certain brain regions in participants with cognitive decline. These changes in amyloid levels are linked to increased functional connectivity in specific brain networks.
BRAIN COMMUNICATIONS
(2022)
Article
Psychiatry
Alexia Polillo, Aristotle N. Voineskos, George Foussias, Sean A. Kidd, Sarah Bromley, Sophie Soklaridis, Wei Wang, Vicky Stergiopoulos, Nicole Kozloff
Summary: This study aimed to understand the factors associated with early disengagement from early psychosis intervention (EPI) services. The findings revealed that medication nonadherence and use of individual psychotherapy were associated with early disengagement. The provision of standardized treatment may mitigate the impact of health disparities on service disengagement in early psychosis.
Article
Psychiatry
Ishraq Siddiqui, Gary Remington, Sarah Saperia, Susana Da Silva, Paul J. Fletcher, Aristotle N. Voineskos, Konstantine K. Zakzanis, George Foussias
Summary: Intrinsic motivation deficits in schizophrenia have a significant impact on functional outcome. This study used cluster analysis to examine the heterogeneity of intrinsic motivation in schizophrenia patients and healthy controls. The results revealed three behaviorally differentiable subgroups with distinct motivational phenotypes, and showed differences in amotivation and community functioning across these subgroups.
