Literature DB >> 2267263

Clinical subtypes of unipolar depression: Part II. Quantitative and qualitative clinical differences between the vital and nonvital depression groups.

M Maes1, C Schotte, L Maes, P Cosyns.   

Abstract

This study examines whether the differences in the cluster-analytically generated classes--nonvital versus vital depression--are dimensional (quantitative) rather than categorical (qualitative). To this end, we used various pattern-recognition methods based on principal component analysis (PCA), e.g., display methods (PC plotting), eigenanalysis, and SIMCA (statistical isolinear multiple components analyses). We found several arguments supporting the dimensional hypothesis that the nonvital and vital classes constitute relevant stages (continuous categories) in the continuum of illness-severity. Nevertheless, we found some arguments supporting the categorical hypothesis that the cluster-analytically generated classes are qualitatively different with reference to the similarity of the vital symptoms. Our findings suggest that a nosological or categorical classification is possible from the moment that one component (i.e., the vital component) is quantitatively prominent to the extent that it has become qualitative. As the overall severity of illness increases, vital symptoms emerge which, grouped together, shape a new symptom profile (i.e., vital depression). Thus, our results favor the hypothesis that there are simultaneous quantitative (dimensional: overall severity of illness) and qualitative (categorical: vital symptoms) differences between the nonvital and vital depression groups.

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Mesh:

Year:  1990        PMID: 2267263     DOI: 10.1016/0165-1781(90)90057-c

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  6 in total

1.  Development of a Novel Neuro-immune and Opioid-Associated Fingerprint with a Cross-Validated Ability to Identify and Authenticate Unknown Patients with Major Depression: Far Beyond Differentiation, Discrimination, and Classification.

Authors:  Hussein Kadhem Al-Hakeim; Suhaer Zeki Al-Fadhel; Arafat Hussein Al-Dujaili; Andre Carvalho; Sira Sriswasdi; Michael Maes
Journal:  Mol Neurobiol       Date:  2019-05-23       Impact factor: 5.590

2.  Deficit schizophrenia is a discrete diagnostic category defined by neuro-immune and neurocognitive features: results of supervised machine learning.

Authors:  Buranee Kanchanatawan; Sira Sriswasdi; Supaksorn Thika; Sunee Sirivichayakul; André F Carvalho; Michel Geffard; Marta Kubera; Michael Maes
Journal:  Metab Brain Dis       Date:  2018-03-11       Impact factor: 3.584

3.  The Neuroimmune and Neurotoxic Fingerprint of Major Neurocognitive Psychosis or Deficit Schizophrenia: a Supervised Machine Learning Study.

Authors:  Hussein Kadhem Al-Hakeim; Abbas F Almulla; Michael Maes
Journal:  Neurotox Res       Date:  2020-01-08       Impact factor: 3.911

Review 4.  False dogmas in mood disorders research: Towards a nomothetic network approach.

Authors:  Michael Hj Maes; Drozdstoy Stoyanov
Journal:  World J Psychiatry       Date:  2022-05-19

5.  In schizophrenia, non-remitters and partial remitters to treatment with antipsychotics are qualitatively distinct classes with respect to neurocognitive deficits and neuro-immune biomarkers: results of soft independent modeling of class analogy.

Authors:  Hussein Kadhem Al-Hakeim; Rana Fadhil Mousa; Arafat Hussein Al-Dujaili; Michael Maes
Journal:  Metab Brain Dis       Date:  2021-02-13       Impact factor: 3.584

6.  Precision Nomothetic Medicine in Depression Research: A New Depression Model, and New Endophenotype Classes and Pathway Phenotypes, and A Digital Self.

Authors:  Michael Maes
Journal:  J Pers Med       Date:  2022-03-05
  6 in total

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