123 results on '"Isaev, Dmitry"'
Search Results
2. Uncertainty of Vowel Predictions as a Digital Biomarker for Ataxic Dysarthria
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Isaev, Dmitry Yu., Vlasova, Roza M., Di Martino, J. Matias, Stephen, Christopher D., Schmahmann, Jeremy D., Sapiro, Guillermo, and Gupta, Anoopum S.
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- 2024
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3. Subcortical Brain Alterations in Carriers of Genomic Copy Number Variants.
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Kumar, Kuldeep, Modenato, Claudia, Moreau, Clara, Ching, Christopher, Harvey, Annabelle, Martin-Brevet, Sandra, Huguet, Guillaume, Jean-Louis, Martineau, Douard, Elise, Martin, Charles-Olivier, Younis, Nadine, Tamer, Petra, Maillard, Anne, Rodriguez-Herreros, Borja, Pain, Aurélie, Kushan, Leila, Isaev, Dmitry, Alpert, Kathryn, Ragothaman, Anjani, Turner, Jessica, Wang, Lei, Ho, Tiffany, Schmaal, Lianne, Silva, Ana, van den Bree, Marianne, Linden, David, Owen, Michael, Hall, Jeremy, Lippé, Sarah, Dumas, Guillaume, Draganski, Bogdan, Gutman, Boris, Sønderby, Ida, Andreassen, Ole, Schultz, Laura, Almasy, Laura, Glahn, David, Bearden, Carrie, Thompson, Paul, and Jacquemont, Sébastien
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Depressive Disorders ,Genetics/Genomics ,Neurodevelopmental Disorders ,Neuroimaging ,Schizophrenia Spectrum and Other Psychotic Disorders ,Male ,Adult ,Humans ,Child ,Adolescent ,Young Adult ,Middle Aged ,Aged ,Aged ,80 and over ,DNA Copy Number Variations ,Schizophrenia ,Brain ,Attention Deficit Disorder with Hyperactivity ,Genomics - Abstract
OBJECTIVE: Copy number variants (CNVs) are well-known genetic pleiotropic risk factors for multiple neurodevelopmental and psychiatric disorders (NPDs), including autism (ASD) and schizophrenia. Little is known about how different CNVs conferring risk for the same condition may affect subcortical brain structures and how these alterations relate to the level of disease risk conferred by CNVs. To fill this gap, the authors investigated gross volume, vertex-level thickness, and surface maps of subcortical structures in 11 CNVs and six NPDs. METHODS: Subcortical structures were characterized using harmonized ENIGMA protocols in 675 CNV carriers (CNVs at 1q21.1, TAR, 13q12.12, 15q11.2, 16p11.2, 16p13.11, and 22q11.2; age range, 6-80 years; 340 males) and 782 control subjects (age range, 6-80 years; 387 males) as well as ENIGMA summary statistics for ASD, schizophrenia, attention deficit hyperactivity disorder, obsessive-compulsive disorder, bipolar disorder, and major depression. RESULTS: All CNVs showed alterations in at least one subcortical measure. Each structure was affected by at least two CNVs, and the hippocampus and amygdala were affected by five. Shape analyses detected subregional alterations that were averaged out in volume analyses. A common latent dimension was identified, characterized by opposing effects on the hippocampus/amygdala and putamen/pallidum, across CNVs and across NPDs. Effect sizes of CNVs on subcortical volume, thickness, and local surface area were correlated with their previously reported effect sizes on cognition and risk for ASD and schizophrenia. CONCLUSIONS: The findings demonstrate that subcortical alterations associated with CNVs show varying levels of similarities with those associated with neuropsychiatric conditions, as well distinct effects, with some CNVs clustering with adult-onset conditions and others with ASD. These findings provide insight into the long-standing questions of why CNVs at different genomic loci increase the risk for the same NPD and why a single CNV increases the risk for a diverse set of NPDs.
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- 2023
4. Scalp surface estimation and head registration using sparse sampling and 3D statistical models
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Schlesinger, Oded, Kundu, Raj, Isaev, Dmitry, Choi, Jessica Y., Goetz, Stefan M., Turner, Dennis A., Sapiro, Guillermo, Peterchev, Angel V., and Di Martino, J. Matias
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- 2024
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5. Adversarial Factor Models for the Generation of Improved Autism Diagnostic Biomarkers
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Carson IV, William E., Isaev, Dmitry, Major, Samatha, Sapiro, Guillermo, Dawson, Geraldine, and Carlson, David
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Computer Science - Machine Learning - Abstract
Discovering reliable measures that inform on autism spectrum disorder (ASD) diagnosis is critical for providing appropriate and timely treatment for this neurodevelopmental disorder. In this work we present applications of adversarial linear factor models in the creation of improved biomarkers for ASD diagnosis. First, we demonstrate that an adversarial linear factor model can be used to remove confounding information from our biomarkers, ensuring that they contain only pertinent information on ASD. Second, we show this same model can be used to learn a disentangled representation of multimodal biomarkers that results in an increase in predictive performance. These results demonstrate that adversarial methods can address both biomarker confounds and improve biomarker predictive performance., Comment: 5 pages, 3 figures
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- 2021
6. A meta‐analysis of deep brain structural shape and asymmetry abnormalities in 2,833 individuals with schizophrenia compared with 3,929 healthy volunteers via the ENIGMA Consortium
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Gutman, Boris A, Erp, Theo GM, Alpert, Kathryn, Ching, Christopher RK, Isaev, Dmitry, Ragothaman, Anjani, Jahanshad, Neda, Saremi, Arvin, Zavaliangos‐Petropulu, Artemis, Glahn, David C, Shen, Li, Cong, Shan, Alnæs, Dag, Andreassen, Ole Andreas, Doan, Nhat Trung, Westlye, Lars T, Kochunov, Peter, Satterthwaite, Theodore D, Wolf, Daniel H, Huang, Alexander J, Kessler, Charles, Weideman, Andrea, Nguyen, Dana, Mueller, Bryon A, Faziola, Lawrence, Potkin, Steven G, Preda, Adrian, Mathalon, Daniel H, Bustillo, Juan, Calhoun, Vince, Ford, Judith M, Walton, Esther, Ehrlich, Stefan, Ducci, Giuseppe, Banaj, Nerisa, Piras, Fabrizio, Piras, Federica, Spalletta, Gianfranco, Canales‐Rodríguez, Erick J, Fuentes‐Claramonte, Paola, Pomarol‐Clotet, Edith, Radua, Joaquim, Salvador, Raymond, Sarró, Salvador, Dickie, Erin W, Voineskos, Aristotle, Tordesillas‐Gutiérrez, Diana, Crespo‐Facorro, Benedicto, Setién‐Suero, Esther, Son, Jacqueline Mayoral, Borgwardt, Stefan, Schönborn‐Harrisberger, Fabienne, Morris, Derek, Donohoe, Gary, Holleran, Laurena, Cannon, Dara, McDonald, Colm, Corvin, Aiden, Gill, Michael, Filho, Geraldo Busatto, Rosa, Pedro GP, Serpa, Mauricio H, Zanetti, Marcus V, Lebedeva, Irina, Kaleda, Vasily, Tomyshev, Alexander, Crow, Tim, James, Anthony, Cervenka, Simon, Sellgren, Carl M, Fatouros‐Bergman, Helena, Agartz, Ingrid, Howells, Fleur, Stein, Dan J, Temmingh, Henk, Uhlmann, Anne, Zubicaray, Greig I, McMahon, Katie L, Wright, Margie, Cobia, Derin, Csernansky, John G, Thompson, Paul M, Turner, Jessica A, and Wang, Lei
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Brain Disorders ,Mental Health ,Neurosciences ,Schizophrenia ,Mental health ,Good Health and Well Being ,Amygdala ,Corpus Striatum ,Hippocampus ,Humans ,Multicenter Studies as Topic ,Neuroimaging ,Thalamus ,schizophrenia ,structure ,subcortical shape ,Cognitive Sciences ,Experimental Psychology - Abstract
Schizophrenia is associated with widespread alterations in subcortical brain structure. While analytic methods have enabled more detailed morphometric characterization, findings are often equivocal. In this meta-analysis, we employed the harmonized ENIGMA shape analysis protocols to collaboratively investigate subcortical brain structure shape differences between individuals with schizophrenia and healthy control participants. The study analyzed data from 2,833 individuals with schizophrenia and 3,929 healthy control participants contributed by 21 worldwide research groups participating in the ENIGMA Schizophrenia Working Group. Harmonized shape analysis protocols were applied to each site's data independently for bilateral hippocampus, amygdala, caudate, accumbens, putamen, pallidum, and thalamus obtained from T1-weighted structural MRI scans. Mass univariate meta-analyses revealed more-concave-than-convex shape differences in the hippocampus, amygdala, accumbens, and thalamus in individuals with schizophrenia compared with control participants, more-convex-than-concave shape differences in the putamen and pallidum, and both concave and convex shape differences in the caudate. Patterns of exaggerated asymmetry were observed across the hippocampus, amygdala, and thalamus in individuals with schizophrenia compared to control participants, while diminished asymmetry encompassed ventral striatum and ventral and dorsal thalamus. Our analyses also revealed that higher chlorpromazine dose equivalents and increased positive symptom levels were associated with patterns of contiguous convex shape differences across multiple subcortical structures. Findings from our shape meta-analysis suggest that common neurobiological mechanisms may contribute to gray matter reduction across multiple subcortical regions, thus enhancing our understanding of the nature of network disorganization in schizophrenia.
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- 2022
7. Shorter Average Look Durations to Dynamic Social Stimuli Are Associated with Higher Levels of Autism Symptoms in Young Autistic Children
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Major, Samantha, Isaev, Dmitry, Grapel, Jordan, Calnan, Todd, Tenenbaum, Elena, Carpenter, Kimberly, Franz, Lauren, Howard, Jill, Vermeer, Saritha, Sapiro, Guillermo, Murias, Michael, and Dawson, Geraldine
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Prior eye-tracking studies involving autistic individuals have focused on total looking time or proportion of looking time to key regions of interest. These studies have not examined another important feature, the ability to sustain attention to stimuli. In particular, the ability to sustain attention to a dynamic social stimulus might reflect more advanced self-regulatory skills that may enhance engagement with and comprehension of social information. In a sample of 155 autistic children (2--8 years of age), we examined children's average look duration while they viewed a complex, dynamic stimulus containing both social and nonsocial elements. After accounting for children's age and intelligence quotient, we found that shorter average look duration was associated with increased autism spectrum disorder severity across multiple clinical measures. To calculate average look duration, we divided the length of total looking time in seconds by the total number of uninterrupted looks to the video media. Thus, the ability to sustain attention while viewing complex dynamic information could be important for comprehending dynamic social information.
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- 2022
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8. Mapping Subcortical Brain Alterations in 22q11.2 Deletion Syndrome: Effects of Deletion Size and Convergence With Idiopathic Neuropsychiatric Illness
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Ching, Christopher RK, Gutman, Boris A, Sun, Daqiang, Villalon Reina, Julio, Ragothaman, Anjanibhargavi, Isaev, Dmitry, Zavaliangos-Petropulu, Artemis, Lin, Amy, Jonas, Rachel K, Kushan, Leila, Pacheco-Hansen, Laura, Vajdi, Ariana, Forsyth, Jennifer K, Jalbrzikowski, Maria, Bakker, Geor, van Amelsvoort, Therese, Antshel, Kevin M, Fremont, Wanda, Kates, Wendy R, Campbell, Linda E, McCabe, Kathryn L, Craig, Michael C, Daly, Eileen, Gudbrandsen, Maria, Murphy, Clodagh M, Murphy, Declan G, Murphy, Kieran C, Fiksinski, Ania, Koops, Sanne, Vorstman, Jacob, Crowley, T Blaine, Emanuel, Beverly S, Gur, Raquel E, McDonald-McGinn, Donna M, Roalf, David R, Ruparel, Kosha, Schmitt, J Eric, Zackai, Elaine H, Durdle, Courtney A, Goodrich-Hunsaker, Naomi J, Simon, Tony J, Bassett, Anne S, Butcher, Nancy J, Chow, Eva WC, Vila-Rodriguez, Fidel, Cunningham, Adam, Doherty, Joanne, Linden, David E, Moss, Hayley, Owen, Michael J, van den Bree, Marianne, Crossley, Nicolas A, Repetto, Gabriela M, Thompson, Paul M, and Bearden, Carrie E
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Clinical Research ,Serious Mental Illness ,Brain Disorders ,Mental Health ,Schizophrenia ,Clinical Trials and Supportive Activities ,Neurosciences ,2.1 Biological and endogenous factors ,Aetiology ,Mental health ,Adolescent ,Adult ,Atrophy ,Brain ,Brain Mapping ,Case-Control Studies ,Child ,DiGeorge Syndrome ,Female ,Humans ,Hypertrophy ,Magnetic Resonance Imaging ,Male ,Mental Disorders ,Middle Aged ,Psychotic Disorders ,Young Adult ,22q11.2 Deletion Syndrome ,Copy Number Variant ,Neuroanatomy ,Neurodevelopment ,Psychosis ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Psychiatry - Abstract
Objective22q11.2 deletion syndrome (22q11DS) is among the strongest known genetic risk factors for schizophrenia. Previous studies have reported variable alterations in subcortical brain structures in 22q11DS. To better characterize subcortical alterations in 22q11DS, including modulating effects of clinical and genetic heterogeneity, the authors studied a large multicenter neuroimaging cohort from the ENIGMA 22q11.2 Deletion Syndrome Working Group.MethodsSubcortical structures were measured using harmonized protocols for gross volume and subcortical shape morphometry in 533 individuals with 22q11DS and 330 matched healthy control subjects (age range, 6-56 years; 49% female).ResultsCompared with the control group, the 22q11DS group showed lower intracranial volume (ICV) and thalamus, putamen, hippocampus, and amygdala volumes and greater lateral ventricle, caudate, and accumbens volumes (Cohen's d values, -0.90 to 0.93). Shape analysis revealed complex differences in the 22q11DS group across all structures. The larger A-D deletion was associated with more extensive shape alterations compared with the smaller A-B deletion. Participants with 22q11DS with psychosis showed lower ICV and hippocampus, amygdala, and thalamus volumes (Cohen's d values, -0.91 to 0.53) compared with participants with 22q11DS without psychosis. Shape analysis revealed lower thickness and surface area across subregions of these structures. Compared with subcortical findings from other neuropsychiatric disorders studied by the ENIGMA consortium, significant convergence was observed between participants with 22q11DS with psychosis and participants with schizophrenia, bipolar disorder, major depressive disorder, and obsessive-compulsive disorder.ConclusionsIn the largest neuroimaging study of 22q11DS to date, the authors found widespread alterations to subcortical brain structures, which were affected by deletion size and psychotic illness. Findings indicate significant overlap between 22q11DS-associated psychosis, idiopathic schizophrenia, and other severe neuropsychiatric illnesses.
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- 2020
9. Deep Learning for Quality Control of Subcortical Brain 3D Shape Models
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Petrov, Dmitry, Kuznetsov, Boris A. Gutman Egor, van Erp, Theo G. M., Turner, Jessica A., Schmaal, Lianne, Veltman, Dick, Wang, Lei, Alpert, Kathryn, Isaev, Dmitry, Zavaliangos-Petropulu, Artemis, Ching, Christopher R. K., Calhoun, Vince, Glahn, David, Satterthwaite, Theodore D., Andreassen, Ole Andreas, Borgwardt, Stefan, Howells, Fleur, Groenewold, Nynke, Voineskos, Aristotle, Radua, Joaquim, Potkin, Steven G., Crespo-Facorro, Benedicto, Tordesillas-Gutierrez, Diana, Shen, Li, Lebedeva, Irina, Spalletta, Gianfranco, Donohoe, Gary, Kochunov, Peter, Rosa, Pedro G. P., James, Anthony, Dannlowski, Udo, Baune, Bernhard T., Aleman, Andre, Gotlib, Ian H., Walter, Henrik, Walter, Martin, Soares, Jair C., Ehrlich, Stefan, Gur, Ruben C., Doan, N. Trung, Agartz, Ingrid, Westlye, Lars T., Harrisberger, Fabienne, Riecher-Rossler, Anita, Uhlmann, Anne, Stein, Dan J., Dickie, Erin W., Pomarol-Clotet, Edith, Fuentes-Claramonte, Paola, Canales-Rodriguez, Erick Jorge, Salvador, Raymond, Huang, Alexander J., Roiz-Santianez, Roberto, Cong, Shan, Tomyshev, Alexander, Piras, Fabrizio, Vecchio, Daniela, Banaj, Nerisa, Ciullo, Valentina, Hong, Elliot, Busatto, Geraldo, Zanetti, Marcus V., Serpa, Mauricio H., Cervenka, Simon, Kelly, Sinead, Grotegerd, Dominik, Sacchet, Matthew D., Veer, Ilya M., Li, Meng, Wu, Mon-Ju, Irungu, Benson, Walton, Esther, and Thompson, Paul M.
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Quantitative Biology - Neurons and Cognition - Abstract
We present several deep learning models for assessing the morphometric fidelity of deep grey matter region models extracted from brain MRI. We test three different convolutional neural net architectures (VGGNet, ResNet and Inception) over 2D maps of geometric features. Further, we present a novel geometry feature augmentation technique based on a parametric spherical mapping. Finally, we present an approach for model decision visualization, allowing human raters to see the areas of subcortical shapes most likely to be deemed of failing quality by the machine. Our training data is comprised of 5200 subjects from the ENIGMA Schizophrenia MRI cohorts, and our test dataset contains 1500 subjects from the ENIGMA Major Depressive Disorder cohorts. Our final models reduce human rater time by 46-70%. ResNet outperforms VGGNet and Inception for all of our predictive tasks., Comment: Accepted to Shape in Medical Imaging (ShapeMI) workshop at MICCAI 2018. arXiv admin note: substantial text overlap with arXiv:1707.06353
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- 2018
10. Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging
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Petrov, Dmitry, Gutman, Boris A., Shih-Hua, Yu, van Erp, Theo G. M., Turner, Jessica A., Schmaal, Lianne, Veltman, Dick, Wang, Lei, Alpert, Kathryn, Isaev, Dmitry, Zavaliangos-Petropulu, Artemis, Ching, Christopher R. K., Calhoun, Vince, Glahn, David, Satterthwaite, Theodore D., Andreasen, Ole Andreas, Borgwardt, Stefan, Howells, Fleur, Groenewold, Nynke, Voineskos, Aristotle, Radua, Joaquim, Potkin, Steven G., Crespo-Facorro, Benedicto, Tordesillas-Gutierrez, Diana, Shen, Li, Lebedeva, Irina, Spalletta, Gianfranco, Donohoe, Gary, Kochunov, Peter, Rosa, Pedro G. P., James, Anthony, Dannlowski, Udo, Baune, Bernhard T., Aleman, Andre, Gotlib, Ian H., Walter, Henrik, Walter, Martin, Soares, Jair C., Ehrlich, Stefan, Gur, Ruben C., Doan, N. Trung, Agartz, Ingrid, Westlye, Lars T., Harrisberger, Fabienne, Riecher-Rossler, Anita, Uhlmann, Anne, Stein, Dan J., Dickie, Erin W., Pomarol-Clotet, Edith, Fuentes-Claramonte, Paola, Canales-Rodriguez, Erick Jorge, Salvador, Raymond, Huang, Alexander J., Roiz-Santianez, Roberto, Cong, Shan, Tomyshev, Alexander, Piras, Fabrizio, Vecchio, Daniela, Banaj, Nerisa, Ciullo, Valentina, Hong, Elliot, Busatto, Geraldo, Zanetti, Marcus V., Serpa, Mauricio H., Cervenka, Simon, Kelly, Sinead, Grotegerd, Dominik, Sacchet, Matthew D., Veer, Ilya M., Li, Meng, Wu, Mon-Ju, Irungu, Benson, Walton, Esther, and Thompson, Paul M.
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Quantitative Biology - Quantitative Methods - Abstract
As very large studies of complex neuroimaging phenotypes become more common, human quality assessment of MRI-derived data remains one of the last major bottlenecks. Few attempts have so far been made to address this issue with machine learning. In this work, we optimize predictive models of quality for meshes representing deep brain structure shapes. We use standard vertex-wise and global shape features computed homologously across 19 cohorts and over 7500 human-rated subjects, training kernelized Support Vector Machine and Gradient Boosted Decision Trees classifiers to detect meshes of failing quality. Our models generalize across datasets and diseases, reducing human workload by 30-70\%, or equivalently hundreds of human rater hours for datasets of comparable size, with recall rates approaching inter-rater reliability., Comment: Arxiv version of the MICCAI 2017 Machine Learning in Medical Imaging workshop paper
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- 2017
11. Fractional anisotropy derived from the diffusion tensor distribution function boosts power to detect Alzheimer's disease deficits
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Nir, Talia M, Jahanshad, Neda, Villalon‐Reina, Julio E, Isaev, Dmitry, Zavaliangos‐Petropulu, Artemis, Zhan, Liang, Leow, Alex D, Jack, Clifford R, Weiner, Michael W, Thompson, Paul M, and Initiative, for the Alzheimer's Diseaase Neuroimaginng
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Engineering ,Biomedical Engineering ,Aging ,Dementia ,Alzheimer's Disease ,Neurosciences ,Clinical Research ,Acquired Cognitive Impairment ,Biomedical Imaging ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Neurodegenerative ,Bioengineering ,Brain Disorders ,Neurological ,Aged ,Alzheimer Disease ,Anisotropy ,Brain ,Brain Mapping ,Cognition Disorders ,Diffusion Magnetic Resonance Imaging ,Female ,Hippocampus ,Humans ,Image Processing ,Computer-Assisted ,Longitudinal Studies ,Male ,Memory ,Memory Disorders ,Middle Aged ,Reproducibility of Results ,White Matter ,Alzheimer's disease ,white matter ,diffusion-weighted imaging ,fractional anisotropy ,tensor distribution function ,Alzheimer's Diseaase Neuroimaginng Initiative ,Nuclear Medicine & Medical Imaging ,Biomedical engineering - Abstract
PurposeIn diffusion MRI (dMRI), fractional anisotropy derived from the single-tensor model (FADTI ) is the most widely used metric to characterize white matter (WM) microarchitecture, despite known limitations in regions with crossing fibers. Due to time constraints when scanning patients in clinical settings, high angular resolution diffusion imaging acquisition protocols, often used to overcome these limitations, are still rare in clinical population studies. However, the tensor distribution function (TDF) may be used to model multiple underlying fibers by representing the diffusion profile as a probabilistic mixture of tensors.MethodsWe compared the ability of standard FADTI and TDF-derived FA (FATDF ), calculated from a range of dMRI angular resolutions (41, 30, 15, and 7 gradient directions), to profile WM deficits in 251 individuals from the Alzheimer's Disease Neuroimaging Initiative and to detect associations with 1) Alzheimer's disease diagnosis, 2) Clinical Dementia Rating scores, and 3) average hippocampal volume.ResultsAcross angular resolutions and statistical tests, FATDF showed larger effect sizes than FADTI , particularly in regions preferentially affected by Alzheimer's disease, and was less susceptible to crossing fiber anomalies.ConclusionThe TDF "corrected" form of FA may be a more sensitive and accurate alternative to the commonly used FADTI , even in clinical quality dMRI data. Magn Reson Med 78:2322-2333, 2017. © 2017 International Society for Magnetic Resonance in Medicine.
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- 2017
12. Autobiographical in the Academic Narrative: History and Personal Experience of a Historian (Preliminary Notes)
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Isaev, Dmitry P., primary
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- 2023
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13. EVALUATION OF THE DEVELOPMENT OF THE OKA BENDS ACCORDING TO THE PATTERN OF THE FLOODPLAIN RELIEF
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Isaev, Dmitry, primary, Denshikova, Maria, additional, and Vannhenko, Svetlana, additional
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- 2023
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14. White matter disturbances in major depressive disorder: a coordinated analysis across 20 international cohorts in the ENIGMA MDD working group
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van Velzen, Laura S., Kelly, Sinead, Isaev, Dmitry, Aleman, Andre, Aftanas, Lyubomir I., Bauer, Jochen, Baune, Bernhard T., Brak, Ivan V., Carballedo, Angela, Connolly, Colm G., Couvy-Duchesne, Baptiste, Cullen, Kathryn R., Danilenko, Konstantin V., Dannlowski, Udo, Enneking, Verena, Filimonova, Elena, Förster, Katharina, Frodl, Thomas, Gotlib, Ian H., Groenewold, Nynke A., Grotegerd, Dominik, Harris, Mathew A., Hatton, Sean N., Hawkins, Emma L., Hickie, Ian B., Ho, Tiffany C., Jansen, Andreas, Kircher, Tilo, Klimes-Dougan, Bonnie, Kochunov, Peter, Krug, Axel, Lagopoulos, Jim, Lee, Renick, Lett, Tristram A., Li, Meng, MacMaster, Frank P., Martin, Nicholas G., McIntosh, Andrew M., McLellan, Quinn, Meinert, Susanne, Nenadić, Igor, Osipov, Evgeny, Penninx, Brenda W. J. H., Portella, Maria J., Repple, Jonathan, Roos, Annerine, Sacchet, Matthew D., Sämann, Philipp G., Schnell, Knut, Shen, Xueyi, Sim, Kang, Stein, Dan J., van Tol, Marie-Jose, Tomyshev, Alexander S., Tozzi, Leonardo, Veer, Ilya M., Vermeiren, Robert, Vives-Gilabert, Yolanda, Walter, Henrik, Walter, Martin, van der Wee, Nic J. A., van der Werff, Steven J. A., Schreiner, Melinda Westlund, Whalley, Heather C., Wright, Margaret J., Yang, Tony T., Zhu, Alyssa, Veltman, Dick J., Thompson, Paul M., Jahanshad, Neda, and Schmaal, Lianne
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- 2020
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15. Computer Vision Analysis of Caregiver–Child Interactions in Children with Neurodevelopmental Disorders: A Preliminary Report
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Isaev, Dmitry Yu., primary, Sabatos-DeVito, Maura, additional, Di Martino, J. Matias, additional, Carpenter, Kimberly, additional, Aiello, Rachel, additional, Compton, Scott, additional, Davis, Naomi, additional, Franz, Lauren, additional, Sullivan, Connor, additional, Dawson, Geraldine, additional, and Sapiro, Guillermo, additional
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- 2023
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16. Uncertainty of Vowel Predictions as a Digital Biomarker for Ataxic Dysarthria
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Isaev, Dmitry Yu., primary, Vlasova, Roza M., additional, Di Martino, J. Matias, additional, Stephen, Christopher D., additional, Schmahmann, Jeremy D., additional, Sapiro, Guillermo, additional, and Gupta, Anoopum S., additional
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- 2023
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17. Relative Average Look Duration and its Association with Neurophysiological Activity in Young Children with Autism Spectrum Disorder
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Isaev, Dmitry Yu., Major, Samantha, Murias, Michael, Carpenter, Kimberly L. H., Carlson, David, Sapiro, Guillermo, and Dawson, Geraldine
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- 2020
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18. Diffusion-tensor imaging of major white matter tracts and their role in language processing in aphasia
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Ivanova, Maria V., Isaev, Dmitry Yu., Dragoy, Olga V., Akinina, Yulia S., Petrushevskiy, Alexey G., Fedina, Oksana N., Shklovsky, Victor M., and Dronkers, Nina F.
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- 2016
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19. Subcortical shape alterations in major depressive disorder
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Ho, Tiffany C, Gutman, Boris, Grotegerd, Dominik, Redlich, Ronny, Jansen, Andreas, Kircher, Tilo, Krug, Axel, Meinert, Susanne, Nenadic, Igor, Opel, Nils, Dinga, Richard, Veltman, Dick J, Pozzi, Elena, Schnell, Knut, Veer, Ilya, Psychiatry, Brain Research Department of, Walter, Henrik, Gotlib, Ian H, Sacchet, Matthew D, Aleman, André, Groenewold, Nynke A, Stein, Dan J, Li, Meng, Grabe, Hans J, Walter, Martin, Ching, Christopher R K, Jahanshad, Neda, Ragothaman, Anjanibhargavi, Isaev, Dmitry, Zavaliangos-Petropulu, Artemis, Thompson, Paul M, Sämann, Philipp G, Schmaal, Lianne, Hosten, Norbert, Wittfeld, Katharina, Völzke, Henry, Baune, Bernhard, Dannlowski, Udo, Förster, Katharina, Academic Medical Center, Ontwikkelingspsychologie (Psychologie, FMG), Psychiatry, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Amsterdam Neuroscience - Brain Imaging, Clinical Cognitive Neuropsychiatry Research Program (CCNP), and Clinical Neuropsychology
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pathology [Corpus Striatum] ,CORTEX ,diagnostic imaging [Corpus Striatum] ,STRESS ,hippocampus ,nucleus accumbens ,MODELS ,shape analysis ,Neuroimaging ,diagnostic imaging [Depressive Disorder, Major] ,behavioral disciplines and activities ,pathology [Thalamus] ,Thalamus ,mental disorders ,Humans ,Multicenter Studies as Topic ,HIPPOCAMPAL SUBFIELDS ,Radiology, Nuclear Medicine and imaging ,ddc:610 ,diagnostic imaging [Amygdala] ,BRAIN ,NEURONS ,Research Articles ,METAANALYSIS ,diagnostic imaging [Hippocampus] ,pathology [Depressive Disorder, Major] ,diagnostic imaging [Thalamus] ,Depressive Disorder, Major ,Radiological and Ultrasound Technology ,major depressive disorder (MDD) ,ABNORMALITIES ,ENIGMA ,BIPOLAR DISORDER ,amygdala ,Corpus Striatum ,AMYGDALA VOLUME ,pathology [Hippocampus] ,Neurology ,nervous system ,pathology [Amygdala] ,Neurology (clinical) ,Anatomy ,Research Article - Abstract
Alterations in regional subcortical brain volumes have been investigated as part of the efforts of an international consortium, ENIGMA, to identify reliable neural correlates of major depressive disorder (MDD). Given that subcortical structures are comprised of distinct subfields, we sought to build significantly from prior work by precisely mapping localized MDD-related differences in subcortical regions using shape analysis. In this meta-analysis of subcortical shape from the ENIGMA-MDD working group, we compared 1,781 patients with MDD and 2,953 healthy controls (CTL) on individual measures of shape metrics (thickness and surface area) on the surface of seven bilateral subcortical structures: nucleus accumbens, amygdala, caudate, hippocampus, pallidum, putamen, and thalamus. Harmonized data processing and statistical analyses were conducted locally at each site, and findings were aggregated by meta-analysis. Relative to CTL, patients with adolescent-onset MDD (≤ 21 years) had lower thickness and surface area of the subiculum, cornu ammonis (CA) 1 of the hippocampus and basolateral amygdala (Cohen's d = −0.164 to −0.180). Relative to first-episode MDD, recurrent MDD patients had lower thickness and surface area in the CA1 of the hippocampus and the basolateral amygdala (Cohen's d = −0.173 to −0.184). Our results suggest that previously reported MDD-associated volumetric differences may be localized to specific subfields of these structures that have been shown to be sensitive to the effects of stress, with important implications for mapping treatments to patients based on specific neural targets and key clinical features.
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- 2022
20. Deep Learning for Quality Control of Subcortical Brain 3D Shape Models
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Petrov, Dmitry, primary, Gutman, Boris A., additional, Kuznetsov, Egor, additional, Ching, Christopher R. K., additional, Alpert, Kathryn, additional, Zavaliangos-Petropulu, Artemis, additional, Isaev, Dmitry, additional, Turner, Jessica A., additional, van Erp, Theo G. M., additional, Wang, Lei, additional, Schmaal, Lianne, additional, Veltman, Dick, additional, and Thompson, Paul M., additional
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- 2018
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21. Investigation of the radiation situation at the dumps of the mine No. 1 of the LPO "Almaz" five years after recultivation
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Belskikh, Iurii S., primary, Shandala, Nataliya K., additional, Titov, Alexey V., additional, Isaev, Dmitry V., additional, Semenova, Mariya P., additional, Oskina, Kristina Yu., additional, Gushchina, Yuliya V., additional, and Filonova, Anna A., additional
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- 2022
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22. Structural brain abnormalities in the common epilepsies assessed in a worldwide ENIGMA study
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Whelan, Christopher D, Altmann, Andre, Botía, Juan A, Jahanshad, Neda, Hibar, Derrek P, Absil, Julie, Alhusaini, Saud, Alvim, Marina K M, Auvinen, Pia, Bartolini, Emanuele, Bergo, Felipe P G, Bernardes, Tauana, Blackmon, Karen, Braga, Barbara, Caligiuri, Maria Eugenia, Calvo, Anna, Carr, Sarah J, Chen, Jian, Chen, Shuai, Cherubini, Andrea, David, Philippe, Domin, Martin, Foley, Sonya, França, Wendy, Haaker, Gerrit, Isaev, Dmitry, Keller, Simon S, Kotikalapudi, Raviteja, Kowalczyk, Magdalena A, Kuzniecky, Ruben, Langner, Soenke, Lenge, Matteo, Leyden, Kelly M, Liu, Min, Loi, Richard Q, Martin, Pascal, Mascalchi, Mario, Morita, Marcia E, Pariente, Jose C, Rodríguez-Cruces, Raul, Rummel, Christian, Saavalainen, Taavi, Semmelroch, Mira K, Severino, Mariasavina, Thomas, Rhys H, Tondelli, Manuela, Tortora, Domenico, Vaudano, Anna Elisabetta, Vivash, Lucy, von Podewils, Felix, Wagner, Jan, Weber, Bernd, Yao, Yi, Yasuda, Clarissa L, Zhang, Guohao, Bargalló, Nuria, Bender, Benjamin, Bernasconi, Neda, Bernasconi, Andrea, Bernhardt, Boris C, Blümcke, Ingmar, Carlson, Chad, Cavalleri, Gianpiero L, Cendes, Fernando, Concha, Luis, Delanty, Norman, Depondt, Chantal, Devinsky, Orrin, Doherty, Colin P, Focke, Niels K, Gambardella, Antonio, Guerrini, Renzo, Hamandi, Khalid, Jackson, Graeme D, Kälviäinen, Reetta, Kochunov, Peter, Kwan, Patrick, Labate, Angelo, McDonald, Carrie R, Meletti, Stefano, OʼBrien, Terence J, Ourselin, Sebastien, Richardson, Mark P, Striano, Pasquale, Thesen, Thomas, Wiest, Roland, Zhang, Junsong, Vezzani, Annamaria, Ryten, Mina, Thompson, Paul M, and Sisodiya, Sanjay M
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- 2018
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23. Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging
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Petrov, Dmitry, primary, Gutman, Boris A., additional, Yu, Shih-Hua, additional, Alpert, Kathryn, additional, Zavaliangos-Petropulu, Artemis, additional, Isaev, Dmitry, additional, Turner, Jessica A., additional, van Erp, Theo G. M., additional, Wang, Lei, additional, Schmaal, Lianne, additional, Veltman, Dick, additional, and Thompson, Paul M., additional
- Published
- 2017
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24. Shorter average look durations to dynamic social stimuli are associated with higher levels of autism symptoms in young autistic children
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Major, Samantha, primary, Isaev, Dmitry, additional, Grapel, Jordan, additional, Calnan, Todd, additional, Tenenbaum, Elena, additional, Carpenter, Kimberly, additional, Franz, Lauren, additional, Howard, Jill, additional, Vermeer, Saritha, additional, Sapiro, Guillermo, additional, Murias, Michael, additional, and Dawson, Geraldine, additional
- Published
- 2021
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25. Evaluation of genetic polymorphism of proteins in stellate sturgeon Acipenser stellatus (Pall) in aquaculture with reference to economically valuable traits
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Shishanova, Elena, primary, Shishanov, Grigory, additional, and Isaev, Dmitry, additional
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- 2021
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26. A meta‐analysis of deep brain structural shape and asymmetry abnormalities in 2,833 individuals with schizophrenia compared with 3,929 healthy volunteers via the ENIGMA Consortium
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Gutman, Boris A., primary, Erp, Theo G.M., additional, Alpert, Kathryn, additional, Ching, Christopher R. K., additional, Isaev, Dmitry, additional, Ragothaman, Anjani, additional, Jahanshad, Neda, additional, Saremi, Arvin, additional, Zavaliangos‐Petropulu, Artemis, additional, Glahn, David C., additional, Shen, Li, additional, Cong, Shan, additional, Alnæs, Dag, additional, Andreassen, Ole Andreas, additional, Doan, Nhat Trung, additional, Westlye, Lars T., additional, Kochunov, Peter, additional, Satterthwaite, Theodore D., additional, Wolf, Daniel H., additional, Huang, Alexander J., additional, Kessler, Charles, additional, Weideman, Andrea, additional, Nguyen, Dana, additional, Mueller, Bryon A., additional, Faziola, Lawrence, additional, Potkin, Steven G., additional, Preda, Adrian, additional, Mathalon, Daniel H., additional, Bustillo, Juan, additional, Calhoun, Vince, additional, Ford, Judith M., additional, Walton, Esther, additional, Ehrlich, Stefan, additional, Ducci, Giuseppe, additional, Banaj, Nerisa, additional, Piras, Fabrizio, additional, Piras, Federica, additional, Spalletta, Gianfranco, additional, Canales‐Rodríguez, Erick J., additional, Fuentes‐Claramonte, Paola, additional, Pomarol‐Clotet, Edith, additional, Radua, Joaquim, additional, Salvador, Raymond, additional, Sarró, Salvador, additional, Dickie, Erin W., additional, Voineskos, Aristotle, additional, Tordesillas‐Gutiérrez, Diana, additional, Crespo‐Facorro, Benedicto, additional, Setién‐Suero, Esther, additional, Son, Jacqueline Mayoral, additional, Borgwardt, Stefan, additional, Schönborn‐Harrisberger, Fabienne, additional, Morris, Derek, additional, Donohoe, Gary, additional, Holleran, Laurena, additional, Cannon, Dara, additional, McDonald, Colm, additional, Corvin, Aiden, additional, Gill, Michael, additional, Filho, Geraldo Busatto, additional, Rosa, Pedro G. P., additional, Serpa, Mauricio H., additional, Zanetti, Marcus V., additional, Lebedeva, Irina, additional, Kaleda, Vasily, additional, Tomyshev, Alexander, additional, Crow, Tim, additional, James, Anthony, additional, Cervenka, Simon, additional, Sellgren, Carl M, additional, Fatouros‐Bergman, Helena, additional, Agartz, Ingrid, additional, Howells, Fleur, additional, Stein, Dan J., additional, Temmingh, Henk, additional, Uhlmann, Anne, additional, Zubicaray, Greig I., additional, McMahon, Katie L., additional, Wright, Margie, additional, Cobia, Derin, additional, Csernansky, John G., additional, Thompson, Paul M., additional, Turner, Jessica A., additional, and Wang, Lei, additional
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- 2021
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27. Effect of Bulky Anion around the Dication on the Electronic Structure and Normal Frequencies in 1,3-Bis(3-methylimidazolium-1-yl)propane Bis(trifluoromethanesulfonyl)imide Ionic Liquid
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Dhumal, Nilesh R., primary, Seol, Kyung, additional, Isaev, Dmitry, additional, Helminen, Michelle, additional, Williams, Brooke, additional, and Latortue, Sherly, additional
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- 2021
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28. Negative effects of dynasticity in perception of the academic staff of Russian universities
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Isaev, Dmitry Petrovich, primary
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- 2021
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29. Shorter average look durations to dynamic social stimuli are associated with higher levels of autism symptoms in young autistic children.
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Major, Samantha, Isaev, Dmitry, Grapel, Jordan, Calnan, Todd, Tenenbaum, Elena, Carpenter, Kimberly, Franz, Lauren, Howard, Jill, Vermeer, Saritha, Sapiro, Guillermo, Murias, Michael, and Dawson, Geraldine
- Subjects
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MEMORY , *MULTIPLE regression analysis , *PSYCHOLOGICAL tests , *ATTENTION-deficit hyperactivity disorder , *LEARNING , *AUTISM , *ATTENTION , *DESCRIPTIVE statistics , *SYMPTOMS , *CHILDREN - Abstract
Prior eye-tracking studies involving autistic individuals have focused on total looking time or proportion of looking time to key regions of interest. These studies have not examined another important feature, the ability to sustain attention to stimuli. In particular, the ability to sustain attention to a dynamic social stimulus might reflect more advanced self)regulatory skills that may enhance engagement with and comprehension of social information. In a sample of 155 autistic children (2–8 years of age), we examined children’s average look duration while they viewed a complex, dynamic stimulus containing both social and nonsocial elements. After accounting for children’s age and intelligence quotient, we found that shorter average look duration was associated with increased autism spectrum disorder severity across multiple clinical measures. To calculate average look duration, we divided the length of total looking time in seconds by the total number of uninterrupted looks to the video media. Thus, the ability to sustain attention while viewing complex dynamic information could be important for comprehending dynamic social information. [ABSTRACT FROM AUTHOR]
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- 2022
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30. Review on: Gerasimov G.I. Idealistic Approach to History. Fundamentals of Theory. Publishing Solutions, 2018. 184 p.
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Isaev, Dmitry P, primary
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- 2021
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31. Hypothermic storage in salt-free preservative solution alter motility duration in sterlet sperm
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Isaev, Dmitry Alexandrovich, primary, Glebov, Alexander Pavlovich, additional, Martynova, Marina Yurievna, additional, and Shishanova, Elena Ivanovna, additional
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- 2021
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32. On disputes about classical and non-classical history (V. Vzhosek's concept of historiography)
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Isaev, Dmitry Petrovich, primary
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- 2021
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33. In vitro differentiation of human parthenogenetic stem cells into neural lineages
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Isaev, Dmitry A, Garitaonandia, Ibon, Abramihina, Tatiana V, Zogovic-Kapsalis, Tatjana, West, Richard A, Semechkin, Andrey Y, Müller, Albrecht M, and Semechkin, Ruslan A
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- 2012
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34. Radiation survey around “the 30th shipyard” company: 30 years after the accident
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Titov, Alexey V., primary, Shandala, Natalia K., additional, Isaev, Dmitry V., additional, Novikova, Natalya Y., additional, Seregin, Vladimir A., additional, Semenova, Mariya P., additional, Filonova, Anna A., additional, Doroneva, Tatyana A., additional, Starinskaya, Renata A., additional, Starinskiy, Vitaly G., additional, Shlygin, Vladimir V., additional, and Akhromeev, Sergey V., additional
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- 2020
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35. Hypothermic storage of sturgeon sperm: methodology and ongoing history
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Isaev, Dmitry, primary
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- 2020
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36. It’s Great to Be Modest (for the 70th Anniversary of N.A. Mininkov)
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Shalak, Maxim E., primary and Isaev, Dmitry P., additional
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- 2020
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37. Subcortical shape alterations in major depressive disorder: Findings from the ENIGMA major depressive disorder working group
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Ho, Tiffany C., primary, Gutman, Boris, additional, Pozzi, Elena, additional, Grabe, Hans J., additional, Hosten, Norbert, additional, Wittfeld, Katharina, additional, Völzke, Henry, additional, Baune, Bernhard, additional, Dannlowski, Udo, additional, Förster, Katharina, additional, Grotegerd, Dominik, additional, Redlich, Ronny, additional, Jansen, Andreas, additional, Kircher, Tilo, additional, Krug, Axel, additional, Meinert, Susanne, additional, Nenadic, Igor, additional, Opel, Nils, additional, Dinga, Richard, additional, Veltman, Dick J., additional, Schnell, Knut, additional, Veer, Ilya, additional, Walter, Henrik, additional, Gotlib, Ian H., additional, Sacchet, Matthew D., additional, Aleman, André, additional, Groenewold, Nynke A., additional, Stein, Dan J., additional, Li, Meng, additional, Walter, Martin, additional, Ching, Christopher R. K., additional, Jahanshad, Neda, additional, Ragothaman, Anjanibhargavi, additional, Isaev, Dmitry, additional, Zavaliangos‐Petropulu, Artemis, additional, Thompson, Paul M., additional, Sämann, Philipp G., additional, and Schmaal, Lianne, additional
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- 2020
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38. CURRENT PROBLEMS OF PHYSICS SCHOOL EDUCATION IN THE RUSSIAN FEDERATION
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Purysheva, Natalia Sergeevna, primary and Isaev, Dmitry Arkad’evich, additional
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- 2020
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39. A Biomechanical Analysis of Various Push-Up Positions Based on Hand Width
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Hatfield, Jacob, primary, Rodriguez, Emelly, additional, Aguilar-Ramirez, Esteban, additional, and Isaev, Dmitry, additional
- Published
- 2020
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40. Reproductive Characteristics of Thawed Stallion Sperm
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Atroshchenko, Mikhail M., primary, Arkhangelskaya, Ekaterina, additional, Isaev, Dmitry A., additional, Stavitsky, Sergey B., additional, Zaitsev, Alexander M., additional, Kalaschnikov, Valery V., additional, Leonov, Sergey, additional, and Osipov, Andreyan N., additional
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- 2019
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41. White matter disturbances in major depressive disorder : a coordinated analysis across 20 international cohorts in the ENIGMA MDD working group
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van Velzen, Laura S., Kelly, Sinead, Isaev, Dmitry, Aleman, Andre, Aftanas, Lyubomir I., Bauer, Jochen, Baune, Bernhard T., Brak, Ivan V., Carballedo, Angela, Connolly, Colm G., Couvy-Duchesne, Baptiste, Cullen, Kathryn R., Danilenko, Konstantin V., Dannlowski, Udo, Enneking, Verena, Filimonova, Elena, Förster, Katharina, Frodl, Thomas, Gotlib, Ian H., Groenewold, Nynke A., Grotegerd, Dominik, Harris, Mathew A., Hatton, Sean N., Hawkins, Emma L., Hickie, Ian B., Ho, Tiffany C., Jansen, Andreas, Kircher, Tilo, Klimes-Dougan, Bonnie, Kochunov, Peter, Krug, Axel, Lagopoulos, Jim, Lee, Renick, Lett, Tristram A., Li, Meng, MacMaster, Frank P., Martin, Nicholas G., McIntosh, Andrew M., McLellan, Quinn, Meinert, Susanne, Nenadić, Igor, Osipov, Evgeny, Penninx, Brenda W. J. H., Portella, Maria J., Repple, Jonathan, Roos, Annerine, Sacchet, Matthew D., Sämann, Philipp G., Schnell, Knut, Shen, Xueyi, Sim, Kang, Stein, Dan J., van Tol, Marie-Jose, Tomyshev, Alexander S., Tozzi, Leonardo, Veer, Ilya M., Vermeiren, Robert, Vives-Gilabert, Yolanda, Walter, Henrik, Walter, Martin, van der Wee, Nic J. A., van der Werff, Steven J. A., Schreiner, Melinda Westlund, Whalley, Heather C., Wright, Margaret J., Yang, Tony T., Zhu, Alyssa, Veltman, Dick J., Thompson, Paul M., Jahanshad, Neda, Schmaal, Lianne, and Universitat Autònoma de Barcelona
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Depression ,Neuroscience - Abstract
Altres ajuts: The ENIGMA-Major Depressive Disorder working group gratefully acknowledges support from the NIH Big Data to Knowledge (BD2K) award (U54 EB020403 to PMT) and NIH grant R01 MH116147 (PMT). LS is supported by an NHMRC MRFF Career Development Fellowship (APP1140764). We wish to acknowledge the patients and control subjects that have particiaped int the study. We thank Rosa Schirmer, Elke Schreiter, Reinhold Borschke and Ines Eidner for image acquisition and data preparation, and Anna Oliynyk for quality checks. We thank Dorothee P. Auer and F. Holsboer for initiation of the RUD study. We wish to acknowledge the patients and control subjects that have particiaped int the study. We thank Rosa Schirmer, Elke Schreiter, Reinhold Borschke and Ines Eidner for image acquisition and data preparation, and Anna Oliynyk for quality checks. We thank Dorothee P. Auer and F. Holsboer for initiation of the RUD study. NESDA: The infrastructure for the NESDA study (www.nesda.nl) is funded through the Geestkracht program of the Netherlands Organisation for Health Research and Development (Zon-Mw, grant number 10-000-1002) and is supported by participating universities (VU University Medical Center, GGZ inGeest, Arkin, Leiden University Medical Center, GGZ Rivierduinen, University Medical Center Groningen) and mental health care organizations, see www.nesda.nl. M-JvT was supported by a VENI grant (NWO grant number 016.156.077). UCSF: This work was supported by the Brain and Behavior Research Foundation (formerly NARSAD) to TTY; the National Institute of Mental Health (R01MH085734 to TTY; K01MH117442 to TCH) and by the American Foundation for Suicide Prevention (PDF-1-064-13) to TCH. Stanford: This work was supported by NIMH Grants R01MH59259 and R37101495 to IHG. MS is partially supported by an award funded by the Phyllis and Jerome Lyle Rappaport Foundation. Muenster: This work was funded by the German Research Foundation (SFB-TRR58, Projects C09 and Z02 to UD) and the Interdisciplinary Center for Clinical Research (IZKF) of the medical faculty of Münster (grant Dan3/012/17 to UD). Marburg: This work was funded by the German Research Foundation (DFG, grant FOR2107 DA1151/5-1 and DA1151/5-2 to UD; KI 588/ 14-1, KI 588/14-2 to TK; KR 3822/7-1, KR 3822/7-2 to AK; JA 1890/ 7-1, JA 1890/7-2 to AJ). IMH-MDD: This work was supported by the National Healthcare Group Research Grant (SIG/15012) awarded to KS. Barcelona: This study was funded by two grants of the Fondo de Investigación Sanitaria from the Instituto de Salud Carlos III, by the Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM). The author is funded through 'Miguel Servet' research contract (CP16-0020), co-financed by the European Regional Development Fund (ERDF) (2016-2019). QTIM: We thank the twins and singleton siblings who gave generously of their time to participate in the QTIM study. We also thank the many research assistants, radiographers, and IT support staff for data acquisition and DNA sample preparation. This study was funded by White matter disturbances in major depressive disorder: a coordinated analysis across 20 international. . . 1521 the National Institute of Child Health & Human Development (RO1 HD050735); National Institute of Biomedical Imaging and Bioengineering (Award 1U54EB020403-01, Subaward 56929223); National Health and Medical Research Council, Australia (Project Grants 496682, 1009064). NIH ENIGMA-BD2K U54 EB020403 (Thompson); R01 MH117601 (Jahanshad/Schmaal). Magdeburg: M.L. and M.W. are funded by SFB 779. Bipolar Family Study: This study has received funding from the European Community's Seventh Framework Programme (FP7/2007-2013). This paper reflects only the author's views and the European Union is not liable for any use that may be made of the information contained therein. This work was also supported by a Wellcome Trust Strategic Award (104036/Z/14/Z). Minnesota Adolescent Depression Study: The study was funded by the National Institute of Mental Health (K23MH090421), the National Alliance for Research on Schizophrenia and Depression, the University of Minnesota Graduate School, the Minnesota Medical Foundation, and the Biotechnology Research Center (P41 RR008079 to the Center for Magnetic Resonance Research), University of Minnesota, and the Deborah E. Powell Center for Women's Health Seed Grant, University of Minnesota. Dublin: This study was supported by Science Foundation Ireland through a Stokes Professorhip grant to TF. MPIP: The MPIP Sample comprises patients included in the Recurrent Unipolar Depression (RUD) Case-Control study at the clinic of the Max Planck Institute of Psychiatry, Munich, German. The RUD study was supported by GlaxoSmithKline. Alterations in white matter (WM) microstructure have been implicated in the pathophysiology of major depressive disorder (MDD). However, previous findings have been inconsistent, partially due to low statistical power and the heterogeneity of depression. In the largest multi-site study to date, we examined WM anisotropy and diffusivity in 1305 MDD patients and 1602 healthy controls (age range 12-88 years) from 20 samples worldwide, which included both adults and adolescents, within the MDD Working Group of the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) consortium. Processing of diffusion tensor imaging (DTI) data and statistical analyses were harmonized across sites and effects were meta-analyzed across studies. We observed subtle, but widespread, lower fractional anisotropy (FA) in adult MDD patients compared with controls in 16 out of 25 WM tracts of interest (Cohen's d between 0.12 and 0.26). The largest differences were observed in the corpus callosum and corona radiata. Widespread higher radial diffusivity (RD) was also observed (all Cohen's d between 0.12 and 0.18). Findings appeared to be driven by patients with recurrent MDD and an adult age of onset of depression. White matter microstructural differences in a smaller sample of adolescent MDD patients and controls did not survive correction for multiple testing. In this coordinated and harmonized multisite DTI study, we showed subtle, but widespread differences in WM microstructure in adult MDD, which may suggest structural disconnectivity in MDD.
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- 2019
42. Семейственность/династийность и практики государственного управления в истории России
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Isaev , Dmitry P.
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political dynasty ,nepotism ,social monopoly ,official ,nomenclature ,bureaucracy ,public administration ,cronyism ,professional dynasty - Abstract
The author focuses on the problem of family ties in formal and informal practices of public administration. In the article the emphasis on the elite family allows us to distinguish between the concepts of “nepotism” and “dynasty” as negative and positive factors in the formation of hereditary professional culture. The article highlights the historical path of the bureaucratic environment formation in Russia through corporate tradi-tions, marriage and educational strategies. The author pays attention to the fact that the evolution of public administration towards rationalization in the 19th century led to the gradual elimination of the family ties role in building career. Personal qualities and education became more significant. That should favorably influence the successive professional ethos formation of an official as an element of dynasty. The Soviet management experience combined the reproduction of traditionalist nepotism practices, clanism at both the highest politi-cal and regional levels, with attempts to create a relevant formalized personnel system. At the same time, in many ways the nomenclature corporatization of the political system destructively influenced the regular pro-cess of culture professionalization of the managerial labor (which is a prerequisite for a hereditary profes-sion). It is concluded that the elements of the Soviet archaic political culture, in contrast to imperial experi-ence, was more likely to impede the establishment of dynasty in the professional environment of an administra-tive employee than to create opportunities for this.
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- 2019
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- View/download PDF
43. Heat-resistant Binders Synthesis with Application of Alumina-containing and High-alumina Waste
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Suldin Vyacheslav, Khlystov Alexey, Isaev Dmitry, and Shirokov Vladimir
- Subjects
Heat resistant ,Materials science ,Chemical engineering - Abstract
The article presents various methods for producing mixed heat-resistant binders able to harden in air at normal temperature. The processes of binders synthesis based on hydraulic cements and inorganic refractory industrial waste: aluminium-chromium petrochemical waste and expanded clay dust are considered to create high-temperature heat-resistant binders and concretes based on them. Light concretes with porous aggregates are offered to obtain a highly porous refractory material of air hardening.
- Published
- 2019
44. Seminal works on mitogenetic radiation from experiments with onion to 'cancer quencher' (review of experiments and methods)
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Naumova, Elena V, Volodyaev, Ilya, Isaev, Dmitry Alexandrovich, and Naumova, Anna
- Published
- 2018
- Full Text
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45. Structural brain abnormalities in the common epilepsies assessed in a worldwide ENIGMA study
- Author
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Whelan, Christopher D., Altmann, Andre, Botía, Juan A., Jahanshad, Neda, Hibar, Derrek P., Absil, Julie, Alhusaini, Saud, Alvim, Marina K.M., Auvinen, Pia, Bartolini, Emanuele, Bergo, Felipe P.G., Bernardes, Tauana, Blackmon, Karen, Braga, Barbara, Caligiuri, Maria Eugenia, Calvo, Anna, Carr, Sarah J., Chen, Jian, Chen, Shuai, Cherubini, Andrea, David, Philippe, Domin, Martin, Foley, Sonya, França, Wendy, Haaker, Gerrit, Isaev, Dmitry, Keller, Simon S., Kotikalapudi, Raviteja, Kowalczyk, Magdalena A., Kuzniecky, Ruben, Langner, Soenke, Lenge, Matteo, Leyden, Kelly M., Liu, Min, Loi, Richard Q., Martin, Pascal, Mascalchi, Mario, Morita, Marcia E., Pariente, Jose C., Rodríguez-Cruces, Raul, Rummel, Christian, Saavalainen, Taavi, Semmelroch, Mira K., Severino, Mariasavina, Thomas, Rhys H., Tondelli, Manuela, Tortora, Domenico, Vaudano, Anna Elisabetta, Vivash, Lucy, Von Podewils, Felix, Wagner, Jan, Weber, Bernd, Yao, Yi, Yasuda, Clarissa L., Zhang, Guohao, Bargalló, Nuria, Bender, Benjamin, Bernasconi, Neda, Bernasconi, Andrea, Bernhardt, Boris C., Blümcke, Ingmar, Carlson, Chad, Cavalleri, Gianpiero L., Cendes, Fernando, Concha, Luis, Delanty, Norman, Depondt, Chantal, Devinsky, Orrin, Doherty, Colin P., Focke, Niels K., Gambardella, Antonio, Guerrini, Renzo, and Hamandi, Khalid
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thalamus ,epilepsy ,MRI ,precentral gyrus - Abstract
Progressive functional decline in the epilepsies is largely unexplained. We formed the ENIGMA-Epilepsy consortium to understand factors that influence brain measures in epilepsy, pooling data from 24 research centres in 14 countries across Europe, North and South America, Asia, and Australia. Structural brain measures were extracted from MRI brain scans across 2149 individuals with epilepsy, divided into four epilepsy subgroups including idiopathic generalized epilepsies (n =367), mesial temporal lobe epilepsies with hippocampal sclerosis (MTLE; left, n = 415; right, n = 339), and all other epilepsies in aggregate (n = 1026), and compared to 1727 matched healthy controls. We ranked brain structures in order of greatest differences between patients and controls, by meta-Analysing effect sizes across 16 subcortical and 68 cortical brain regions. We also tested effects of duration of disease, age at onset, and age-by-diagnosis interactions on structural measures. We observed widespread patterns of altered subcortical volume and reduced cortical grey matter thickness. Compared to controls, all epilepsy groups showed lower volume in the right thalamus (Cohen's d = â '0.24 to â '0.73; P < 1.49 × 10 â '4), and lower thickness in the precentral gyri bilaterally (d = â '0.34 to â '0.52; P < 4.31 × 10 â '6). Both MTLE subgroups showed profound volume reduction in the ipsilateral hippocampus (d = â '1.73 to â '1.91, P < 1.4 × 10 â '19), and lower thickness in extrahippocampal cortical regions, including the precentral and paracentral gyri, compared to controls (d = â '0.36 to â '0.52; P < 1.49 × 10 â '4). Thickness differences of the ipsilateral temporopolar, parahippocampal, entorhinal, and fusiform gyri, contralateral pars triangularis, and bilateral precuneus, superior frontal and caudal middle frontal gyri were observed in left, but not right, MTLE (d = â '0.29 to â '0.54; P < 1.49 × 10 â '4). Contrastingly, thickness differences of the ipsilateral pars opercularis, and contralateral transverse temporal gyrus, were observed in right, but not left, MTLE (d = â '0.27 to â '0.51; P < 1.49 × 10 â '4). Lower subcortical volume and cortical thickness associated with a longer duration of epilepsy in the all-epilepsies, all-other-epilepsies, and right MTLE groups (beta, b < â '0.0018; P < 1.49 × 10 â '4). In the largest neuroimaging study of epilepsy to date, we provide information on the common epilepsies that could not be realistically acquired in any other way. Our study provides a robust ranking of brain measures that can be further targeted for study in genetic and neuropathological studies. This worldwide initiative identifies patterns of shared grey matter reduction across epilepsy syndromes, and distinctive abnormalities between epilepsy syndromes, which inform our understanding of epilepsy as a network disorder, and indicate that certain epilepsy syndromes involve more widespread structural compromise than previously assumed.
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- 2018
46. White matter disturbances in major depressive disorder: a coordinated analysis across 20 international cohorts in the ENIGMA MDD working group
- Author
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van Velzen, Laura S., primary, Kelly, Sinead, additional, Isaev, Dmitry, additional, Aleman, Andre, additional, Aftanas, Lyubomir I., additional, Bauer, Jochen, additional, Baune, Bernhard T., additional, Brak, Ivan V., additional, Carballedo, Angela, additional, Connolly, Colm G., additional, Couvy-Duchesne, Baptiste, additional, Cullen, Kathryn R., additional, Danilenko, Konstantin V., additional, Dannlowski, Udo, additional, Enneking, Verena, additional, Filimonova, Elena, additional, Förster, Katharina, additional, Frodl, Thomas, additional, Gotlib, Ian H., additional, Groenewold, Nynke A., additional, Grotegerd, Dominik, additional, Harris, Mathew A., additional, Hatton, Sean N., additional, Hawkins, Emma L., additional, Hickie, Ian B., additional, Ho, Tiffany C., additional, Jansen, Andreas, additional, Kircher, Tilo, additional, Klimes-Dougan, Bonnie, additional, Kochunov, Peter, additional, Krug, Axel, additional, Lagopoulos, Jim, additional, Lee, Renick, additional, Lett, Tristram A., additional, Li, Meng, additional, MacMaster, Frank P., additional, Martin, Nicholas G., additional, McIntosh, Andrew M., additional, McLellan, Quinn, additional, Meinert, Susanne, additional, Nenadić, Igor, additional, Osipov, Evgeny, additional, Penninx, Brenda W. J. H., additional, Portella, Maria J., additional, Repple, Jonathan, additional, Roos, Annerine, additional, Sacchet, Matthew D., additional, Sämann, Philipp G., additional, Schnell, Knut, additional, Shen, Xueyi, additional, Sim, Kang, additional, Stein, Dan J., additional, van Tol, Marie-Jose, additional, Tomyshev, Alexander S., additional, Tozzi, Leonardo, additional, Veer, Ilya M., additional, Vermeiren, Robert, additional, Vives-Gilabert, Yolanda, additional, Walter, Henrik, additional, Walter, Martin, additional, van der Wee, Nic J. A., additional, van der Werff, Steven J. A., additional, Schreiner, Melinda Westlund, additional, Whalley, Heather C., additional, Wright, Margaret J., additional, Yang, Tony T., additional, Zhu, Alyssa, additional, Veltman, Dick J., additional, Thompson, Paul M., additional, Jahanshad, Neda, additional, and Schmaal, Lianne, additional
- Published
- 2019
- Full Text
- View/download PDF
47. Principles of managing development of EPM systems
- Author
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Druzhaev, Alexey, primary, Isaev, Dmitry, additional, and Ogurechnikov, Eugene, additional
- Published
- 2019
- Full Text
- View/download PDF
48. Historical review of early researches on mitogenetic radiation: from discovery to cancer diagnostics
- Author
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Naumova, Elena, primary, Naumova, Anna, additional, Isaev, Dmitry, additional, and Volodyaev, Ilya, additional
- Published
- 2018
- Full Text
- View/download PDF
49. [Untitled]
- Author
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Isaev, Dmitry Р.
- Subjects
historiography ,non-classical science ,constructivism ,new history ideas ,intellectual history ,paradigm ,postpositivism - Abstract
The focus of the article is the problem of two paradigms existence in contemporary Russian historiography. The analysis of the theoretical grounds of anthropological and conceptualist paradigms was proposed in the discussion by S.B. Krich and O.V. Metel. According to their conception, the anthropological paradigm focuses on the study of communications of a historian, on his daily life. And in accordance with the conceptualist paradigm the focus is the product of research creativity of a scientist, his scientific ideas. However, in our opinion, a scientific idea can be productively studied in conjunction with a socio-cultural context and biography of the author. We clarify that the use of the word “paradigm” suggests the incompatibility of knowledge, isolation, and the role of a social element. So it is concluded that these models belong to the same paradigm, because their research tools are combined in the same study. It is necessary to search a stricter paradigmatic basis. Separation between the paradigms seems to be located in the questions about objective reality and the nature of scientific knowledge. Currently, two paradigms exist. And the fundamental difference between them is proposed to be sought on the verge of the positivists and post-positivists, classical and non-classical views.
- Published
- 2017
- Full Text
- View/download PDF
50. [P1-359]: ASSESSING INTERACTIVE EFFECTS OF ALZHEIMER's DEMENTIA SEVERITY AND PARKINSONISM ON STRIATAL MORPHOMETRY
- Author
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Gutman, Boris A., primary, Ragothaman, Anjani, additional, Isaev, Dmitry, additional, and Thompson, Paul M., additional
- Published
- 2017
- Full Text
- View/download PDF
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