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Journal articles on the topic 'Models of disorder'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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1

Csahok, Z., and T. Vicsek. "Traffic models with disorder." Journal of Physics A: Mathematical and General 27, no. 16 (1994): L591—L596. http://dx.doi.org/10.1088/0305-4470/27/16/005.

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2

Mack, Avram H. "Models for Mental Disorder." Journal of Nervous and Mental Disease 203, no. 12 (2015): 977. http://dx.doi.org/10.1097/nmd.0000000000000403.

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3

Haslam, Nick. "Categorical Versus Dimensional Models of Mental Disorder: The Taxometric Evidence." Australian & New Zealand Journal of Psychiatry 37, no. 6 (2003): 696–704. http://dx.doi.org/10.1080/j.1440-1614.2003.01258.x.

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Objective: To review studies of the categorical versus dimensional status of mental disorders that employ taxometric methodology. Method: A comprehensive qualitative review of all published taxometric studies of psychopathology. Results: Categorical and dimensional models each receive well-replicated support for some groups of mental disorders. Studies favour categorical models for melancholia, eating disorders, pathological dissociation, and schizotypal and antisocial personality disorders. Dimensional models tend to be favoured for the broad neurotic spectrum – general depression, generalize

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4

Jenkins, Rachel. "Models for Mental Disorder, Conceptual Models in Psychiatry." International Clinical Psychopharmacology 3, no. 1 (1988): 91–92. http://dx.doi.org/10.1097/00004850-198801000-00014.

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5

Olivier, B. "Animal models of panic disorder." Behavioural Pharmacology 8, no. 6 (1997): 661. http://dx.doi.org/10.1097/00008877-199711000-00066.

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6

Kato, Tadafumi, Mie Kubota, and Takaoki Kasahara. "Animal models of bipolar disorder." Neuroscience & Biobehavioral Reviews 31, no. 6 (2007): 832–42. http://dx.doi.org/10.1016/j.neubiorev.2007.03.003.

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7

Silva, Rhayra Xavier do Carmo, Sueslene Prado Rocha, Anderson Manoel Herculano, Monica Gomes Lima-Maximino, and Caio Maximino. "Animal models for panic disorder." Psychology & Neuroscience 13, no. 1 (2020): 1–18. http://dx.doi.org/10.1037/pne0000177.

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8

Galvez, Juan F., Ives C. Passos, Flavio P. Kapczinski, and Jair C. Soares. "Staging Models in Bipolar Disorder." FOCUS 13, no. 1 (2015): 19–24. http://dx.doi.org/10.1176/appi.focus.130110.

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9

Trull, Timothy J. "Dimensional models of personality disorder." Current Opinion in Psychiatry 13, no. 2 (2000): 179–84. http://dx.doi.org/10.1097/00001504-200003000-00007.

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10

D’Agostino, Alessandra, Mario Rossi Monti, and Vladan Starcevic. "Models of borderline personality disorder." Current Opinion in Psychiatry 31, no. 1 (2018): 57–62. http://dx.doi.org/10.1097/yco.0000000000000374.

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11

Stinchcombe, Robin B. "Disorder in non-equilibrium models." Journal of Physics: Condensed Matter 14, no. 7 (2002): 1473–87. http://dx.doi.org/10.1088/0953-8984/14/7/306.

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12

Simon, P., and F. Ricci-Tersenghi. "Coupled Ising models with disorder." Journal of Physics A: Mathematical and General 33, no. 34 (2000): 5985–91. http://dx.doi.org/10.1088/0305-4470/33/34/304.

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13

Daugherty, Darryl, Tairi Roque-Urrea, John Urrea-Roque, Jessica Troyer, Stephen Wirkus, and Mason A. Porter. "Mathematical models of bipolar disorder." Communications in Nonlinear Science and Numerical Simulation 14, no. 7 (2009): 2897–908. http://dx.doi.org/10.1016/j.cnsns.2008.10.027.

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14

Garrido, P. L., and J. Marro. "Kinetic lattice models of disorder." Journal of Statistical Physics 74, no. 3-4 (1994): 663–86. http://dx.doi.org/10.1007/bf02188575.

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15

Xiang, Ting, Zhuo-Ying Tao, Li-Fan Liao, Shuang Wang, and Dong-Yuan Cao. "Animal Models of Temporomandibular Disorder." Journal of Pain Research Volume 14 (May 2021): 1415–30. http://dx.doi.org/10.2147/jpr.s303536.

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16

TRIVEDI, NANDINI, AMIT GHOSAL, and MOHIT RANDERIA. "RECENT PROGRESS ON MODELS OF HIGHLY DISORDERED SUPERCONDUCTORS." International Journal of Modern Physics B 15, no. 10n11 (2001): 1347–58. http://dx.doi.org/10.1142/s0217979201005829.

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We show, using a Bogoliubov-de Gennes (BdG) mean field theory, that the local pairing amplitude Δ(r) becomes highly inhomogeneous with increasing disorder in an s-wave superconductor. The probability distribution P(Δ) is peaked about the BCS value at low disorder, but with increasing disorder, progressively develops into a broad distribution with significant build up of weight near Δ≈0. At high disorder, the system is found to form superconducting "islands" separated by a non-superconducting sea. Surprisingly, a finite energy gap persists into the highly disordered state in spite of many sites

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17

Sharma, Amita, and Willem J. M. I. Verbeke. "Understanding importance of clinical biomarkers for diagnosis of anxiety disorders using machine learning models." PLOS ONE 16, no. 5 (2021): e0251365. http://dx.doi.org/10.1371/journal.pone.0251365.

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Anxiety disorders are a group of mental illnesses that cause constant and overwhelming feelings of anxiety and fear. Excessive anxiety can make an individual avoid work, school, family get-togethers, and other social situations that in turn might amplify these symptoms. According to the World Health Organization (WHO), one in thirteen persons globally suffers from anxiety. It is high time to understand the roles of various clinical biomarker measures that can diagnose the types of anxiety disorders. In this study, we apply machine learning (ML) techniques to understand the importance of a set

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18

Fisher, Peter L., and Adrian Wells. "Conceptual Models of Generalized Anxiety Disorder." Psychiatric Annals 41, no. 2 (2011): 127–32. http://dx.doi.org/10.3928/00485713-20110203-11.

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19

Petri, Alberto. "Lattice models of disorder with order." Brazilian Journal of Physics 33, no. 3 (2003): 521–25. http://dx.doi.org/10.1590/s0103-97332003000300013.

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20

Man, J., A. Hudson, D. Ashton, and D. Nutt. "Animal Models for Obsessive-Compulsive Disorder." Current Neuropharmacology 2, no. 2 (2004): 169–81. http://dx.doi.org/10.2174/1570159043476792.

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21

EVANS, JEFF. "Prescribing Models Shape Personality Disorder Tx." Clinical Psychiatry News 33, no. 6 (2005): 26. http://dx.doi.org/10.1016/s0270-6644(05)70426-4.

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22

RAPOPORT, JUDITH L. "ANIMAL MODELS OF OBSESSIVE COMPULSIVE DISORDER." Clinical Neuropharmacology 15 (1992): 261A—262A. http://dx.doi.org/10.1097/00002826-199201001-00136.

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23

Handley, SL. "Animal models of obsessive-compulsive disorder." Behavioural Pharmacology 8, no. 6 (1997): 650. http://dx.doi.org/10.1097/00008877-199711000-00042.

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24

Rauch, Scott L., and Michael A. Jenike. "Neurobiological Models of Obsessive-Compulsive Disorder." Psychosomatics 34, no. 1 (1993): 20–32. http://dx.doi.org/10.1016/s0033-3182(93)71924-6.

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25

Reichman, David R. "On Stochastic Models of Dynamic Disorder†." Journal of Physical Chemistry B 110, no. 38 (2006): 19061–65. http://dx.doi.org/10.1021/jp061992j.

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26

Bratiotis, Christiana, and Gail Steketee. "Hoarding Disorder: Models, Interventions, and Efficacy." FOCUS 13, no. 2 (2015): 175–83. http://dx.doi.org/10.1176/appi.focus.130202.

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27

Olivier, B. "Animal models in obsessive compulsive disorder." International Clinical Psychopharmacology 7 (June 1992): 27–30. http://dx.doi.org/10.1097/00004850-199206001-00007.

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28

Valvassori, Samira. "Modeling Bipolar Disorder in Animal Models." Biological Psychiatry 87, no. 9 (2020): S14. http://dx.doi.org/10.1016/j.biopsych.2020.02.063.

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29

Meshalkina, Daria A., Marina N. Kizlyk, Elana V. Kysil, et al. "Zebrafish models of autism spectrum disorder." Experimental Neurology 299 (January 2018): 207–16. http://dx.doi.org/10.1016/j.expneurol.2017.02.004.

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30

Killeen, Peter R. "Models of attention-deficit hyperactivity disorder." Behavioural Processes 162 (May 2019): 205–14. http://dx.doi.org/10.1016/j.beproc.2019.01.001.

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31

Wu, F. Y., and K. Y. Lin. "Spin models with multiple disorder points." Physics Letters A 130, no. 6-7 (1988): 335–37. http://dx.doi.org/10.1016/0375-9601(88)90223-x.

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32

Abramowitz, Jonathan S., Steven Taylor, Dean McKay, and Brett J. Deacon. "Animal Models of Obsessive-Compulsive Disorder." Biological Psychiatry 69, no. 9 (2011): e29-e30. http://dx.doi.org/10.1016/j.biopsych.2010.10.034.

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33

Batchelor, M. T., and J. M. J. van Leeuwen. "Disorder solutions of lattice spin models." Physica A: Statistical Mechanics and its Applications 154, no. 3 (1989): 365–83. http://dx.doi.org/10.1016/0378-4371(89)90256-2.

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34

McNeill, Rhiannon V., Georg C. Ziegler, Franziska Radtke, Matthias Nieberler, Klaus-Peter Lesch, and Sarah Kittel-Schneider. "Mental health dished up—the use of iPSC models in neuropsychiatric research." Journal of Neural Transmission 127, no. 11 (2020): 1547–68. http://dx.doi.org/10.1007/s00702-020-02197-9.

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Abstract Genetic and molecular mechanisms that play a causal role in mental illnesses are challenging to elucidate, particularly as there is a lack of relevant in vitro and in vivo models. However, the advent of induced pluripotent stem cell (iPSC) technology has provided researchers with a novel toolbox. We conducted a systematic review using the PRISMA statement. A PubMed and Web of Science online search was performed (studies published between 2006–2020) using the following search strategy: hiPSC OR iPSC OR iPS OR stem cells AND schizophrenia disorder OR personality disorder OR antisocial p

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35

Hughes, Julian C. "Models for mental disorder: Conceptual models in psychiatry (2nd ed.)." Journal of Psychosomatic Research 41, no. 5 (1996): 495. http://dx.doi.org/10.1016/s0022-3999(96)00125-0.

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36

Dtchetgnia Djeundam, S. R., R. Yamapi, G. Filatrella, and T. C. Kofane. "Dynamics of Disordered Network of Coupled Hindmarsh–Rose Neuronal Models." International Journal of Bifurcation and Chaos 26, no. 03 (2016): 1650048. http://dx.doi.org/10.1142/s0218127416500486.

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We investigate the effects of disorder on the synchronized state of a network of Hindmarsh–Rose neuronal models. Disorder, introduced as a perturbation of the neuronal parameters, destroys the network activity by wrecking the synchronized state. The dynamics of the synchronized state is analyzed through the Kuramoto order parameter, adapted to the neuronal Hindmarsh–Rose model. We find that the coupling deeply alters the dynamics of the single units, thus demonstrating that coupling not only affects the relative motion of the units, but also the dynamical behavior of each neuron; Thus, synchro

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37

Pittenger, Christopher. "37.5 PATHOPHYSIOLOGICALLY GROUNDED MODELS OF TIC DISORDERS: HISTAMINE DYSREGULATION IN TOURETTE'S DISORDER." Journal of the American Academy of Child & Adolescent Psychiatry 55, no. 10 (2016): S317. http://dx.doi.org/10.1016/j.jaac.2016.07.338.

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38

Cohen, Hagit, and Rachel Yehuda. "Gender Differences in Animal Models of Posttraumatic Stress Disorder." Disease Markers 30, no. 2-3 (2011): 141–50. http://dx.doi.org/10.1155/2011/734372.

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Epidemiological studies report higher prevalence rates of stress-related disorders such as acute stress disorder and post-traumatic stress disorder (PTSD) in women than in men following exposure to trauma. It is still not clear whether this greater prevalence in woman reflects a greater vulnerability to stress-related psychopathology. A number of individual and trauma-related characteristics have been hypothesized to contribute to these gender differences in physiological and psychological responses to trauma, differences in appraisal, interpretation or experience of threat, coping style or so

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39

Waters, A. M., B. P. Bradley, and K. Mogg. "Biased attention to threat in paediatric anxiety disorders (generalized anxiety disorder, social phobia, specific phobia, separation anxiety disorder) as a function of ‘distress’versus‘fear’ diagnostic categorization." Psychological Medicine 44, no. 3 (2013): 607–16. http://dx.doi.org/10.1017/s0033291713000779.

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BackgroundStructural models of emotional disorders propose that anxiety disorders can be classified into fear and distress disorders. Sources of evidence for this distinction come from genetic, self-report and neurophysiological data from adults. The present study examined whether this distinction relates to cognitive processes, indexed by attention bias towards threat, which is thought to cause and maintain anxiety disorders.MethodDiagnostic and attention bias data were analysed from 435 children between 5 and 13 years of age; 158 had principal fear disorder (specific phobia, social phobia or

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40

Racine, S. E., K. M. Culbert, S. A. Burt, and K. L. Klump. "Advanced paternal age at birth: phenotypic and etiologic associations with eating pathology in offspring." Psychological Medicine 44, no. 5 (2013): 1029–41. http://dx.doi.org/10.1017/s0033291713001426.

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BackgroundAdvanced paternal age at birth has been linked to several psychiatric disorders in offspring (e.g. schizophrenia) and genetic mechanisms are thought to underlie these associations. This study is the first to investigate whether advanced paternal age at birth is associated with eating disorder risk using a twin study design capable of examining both phenotypic and genetic associations.MethodIn a large, population-based sample of female twins aged 8–17 years in mid-puberty or beyond (n = 1722), we investigated whether advanced paternal age was positively associated with disordered eati

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41

Ufer, Kristian, Reinhard Kleeberg, and Thomas Monecke. "Quantification of stacking disordered Si–Al layer silicates by the Rietveld method: application to exploration for high-sulphidation epithermal gold deposits." Powder Diffraction 30, S1 (2015): S111—S118. http://dx.doi.org/10.1017/s0885715615000111.

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Hydrothermally altered rocks hosting precious metal deposits frequently contain stacking disordered layer silicates. X-ray diffraction analysis using the Rietveld method can be used to determine mineral abundances in these rocks if suitable disorder models are applied. It is shown here that disorder models of kaolinite and pyrophyllite can be described by a recursive calculation of structure factors. This permits the physically sound refinement of real structure parameters of these disordered minerals and the determination of mineral abundances. Even mixtures containing two disordered Si–Al la

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42

Friedberg, Naomi L., and William J. Lyddon. "Self-Other Working Models and Eating Disorders." Journal of Cognitive Psychotherapy 10, no. 3 (1996): 193–202. http://dx.doi.org/10.1891/0889-8391.10.3.193.

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In this study, Bartholomew’s (1990) four-category model of attachment (secure, preoccupied, dismissing, and fearful) was used to test Guidano’s (1987) notion that the personal cognitive organization (P.C. Org.) of individuals with eating disorders is characterized by an enmeshed, preoccupied working model of attachment. Consistent with this characterization, Bartholomew’s preoccupied and secure attachment dimensions were found to significantly discriminate a clinical eating disorder sample (n = 17) from normal subjects (n = 27).

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43

Dotsenko, Vladimir S., Xuan Son Nguyen, and Raoul Santachiara. "Models WDn in the presence of disorder and the coupled models." Nuclear Physics B 613, no. 3 (2001): 445–71. http://dx.doi.org/10.1016/s0550-3213(01)00392-3.

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44

Simon, P. "Coupled minimal models with and without disorder." Nuclear Physics B 515, no. 3 (1998): 624–64. http://dx.doi.org/10.1016/s0550-3213(98)00016-9.

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45

Roth, Deborah A., and Richard G. Heimberg. "COGNATIVE-BEHAVIORAL MODELS OF SOCIAL ANXIETY DISORDER." Psychiatric Clinics of North America 24, no. 4 (2001): 753–71. http://dx.doi.org/10.1016/s0193-953x(05)70261-6.

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46

O'Shea, K. Sue, and Melvin G. McInnis. "Neurodevelopmental origins of bipolar disorder: iPSC models." Molecular and Cellular Neuroscience 73 (June 2016): 63–83. http://dx.doi.org/10.1016/j.mcn.2015.11.006.

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47

Schultz, Robert T., David W. Evans, and Monica Wolff. "Neuropsychological Models of Childhood Obsessive-Compulsive Disorder." Child and Adolescent Psychiatric Clinics of North America 8, no. 3 (1999): 513–31. http://dx.doi.org/10.1016/s1056-4993(18)30167-6.

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48

Szechtman, Henry, Susanne E. Ahmari, Richard J. Beninger, et al. "Obsessive-compulsive disorder: Insights from animal models." Neuroscience & Biobehavioral Reviews 76 (May 2017): 254–79. http://dx.doi.org/10.1016/j.neubiorev.2016.04.019.

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49

Adamec, R. "Animal models of post traumatic stress disorder." Behavioural Pharmacology 8, no. 6 (1997): 639. http://dx.doi.org/10.1097/00008877-199711000-00020.

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50

Workman, Joanna L., and Randy J. Nelson. "Potential animal models of seasonal affective disorder." Neuroscience & Biobehavioral Reviews 35, no. 3 (2011): 669–79. http://dx.doi.org/10.1016/j.neubiorev.2010.08.005.

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