Literature DB >> 24275165

Deriving semantic structure from category fluency: clustering techniques and their pitfalls.

Wouter Voorspoels1, Gert Storms2, Julia Longenecker3, Steven Verheyen1, Daniel R Weinberger3, Brita Elvevåg4.   

Abstract

Assessing verbal output in category fluency tasks provides a sensitive indicator of cortical dysfunction. The most common metrics are the overall number of words produced and the number of errors. Two main observations have been made about the structure of the output, first that there is a temporal component to it with words being generated in spurts, and second that the clustering pattern may reflect a search for meanings such that the 'clustering' is attributable to the activation of a specific semantic field in memory. A number of sophisticated approaches to examining the structure of this clustering have been developed, and a core theme is that the similarity relations between category members will reveal the mental semantic structure of the category underlying an individual's responses, which can then be visualized by a number of algorithms, such as MDS, hierarchical clustering, ADDTREE, ADCLUS or SVD. Such approaches have been applied to a variety of neurological and psychiatric populations, and the general conclusion has been that the clinical condition systematically distorts the semantic structure in the patients, as compared to the healthy controls. In the present paper we explore this approach to understanding semantic structure using category fluency data. On the basis of a large pool of patients with schizophrenia (n = 204) and healthy control participants (n = 204), we find that the methods are problematic and unreliable to the extent that it is not possible to conclude that any putative difference reflects a systematic difference between the semantic representations in patients and controls. Moreover, taking into account the unreliability of the methods, we find that the most probable conclusion to be made is that no difference in underlying semantic representation exists. The consequences of these findings to understanding semantic structure, and the use of category fluency data, in cortical dysfunction are discussed.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Category fluency; Sampling; Schizophrenia; Semantic deficits; Similarity

Mesh:

Year:  2013        PMID: 24275165      PMCID: PMC3983181          DOI: 10.1016/j.cortex.2013.09.006

Source DB:  PubMed          Journal:  Cortex        ISSN: 0010-9452            Impact factor:   4.027


  30 in total

1.  A new dissimilarity measure for finding semantic structure in category fluency data with implications for understanding memory organization in schizophrenia.

Authors:  Tony J Prescott; Lisa D Newton; Nusrat U Mir; Peter W R Woodruff; Randolph W Parks
Journal:  Neuropsychology       Date:  2006-11       Impact factor: 3.295

2.  An investigation of semantic space in patients with schizophrenia.

Authors:  M S Aloia; M L Gourovitch; D R Weinberger; T E Goldberg
Journal:  J Int Neuropsychol Soc       Date:  1996-07       Impact factor: 2.892

3.  Clustering and switching strategies in verbal fluency tasks: comparison between schizophrenics and healthy adults.

Authors:  P H Robert; V Lafont; I Medecin; L Berthet; S Thauby; C Baudu; G Darcourt
Journal:  J Int Neuropsychol Soc       Date:  1998-11       Impact factor: 2.892

4.  Differential pattern of semantic memory organization between bipolar I and II disorders.

Authors:  Jae Seung Chang; Sungwon Choi; Kyooseob Ha; Tae Hyon Ha; Hyun Sang Cho; Jung Eun Choi; Boseok Cha; Eunsoo Moon
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2011-03-01       Impact factor: 5.067

5.  Category content and structure in schizophrenia: an evaluation using the instantiation principle.

Authors:  Brita Elvevåg; Evan Heit; Gert Storms; Terry Goldberg
Journal:  Neuropsychology       Date:  2005-05       Impact factor: 3.295

6.  Controlled and automatic processing during animal word list generation in schizophrenia.

Authors:  S T Moelter; S K Hill; J D Ragland; A Lunardelli; R C Gur; R E Gur; P J Moberg
Journal:  Neuropsychology       Date:  2001-10       Impact factor: 3.295

7.  Letter and category fluency in schizophrenic patients: a meta-analysis.

Authors:  Christina E Bokat; Terry E Goldberg
Journal:  Schizophr Res       Date:  2003-11-01       Impact factor: 4.939

8.  Verbal fluency in schizophrenia: relationship with executive function, semantic memory and clinical alogia.

Authors:  E M Joyce; S L Collinson; P Crichton
Journal:  Psychol Med       Date:  1996-01       Impact factor: 7.723

9.  A comparison of the category fluency deficits associated with Alzheimer's and Huntington's disease.

Authors:  A I Tröster; D P Salmon; D McCullough; N Butters
Journal:  Brain Lang       Date:  1989-10       Impact factor: 2.381

10.  An assessment of the semantic network in patients with Alzheimer's disease.

Authors:  A S Chan; N Butters; J S Paulsen; D P Salmon; M R Swenson; L T Maloney
Journal:  J Cogn Neurosci       Date:  1993       Impact factor: 3.225

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  9 in total

1.  Characterizing cognitive performance in a large longitudinal study of aging with computerized semantic indices of verbal fluency.

Authors:  Serguei V S Pakhomov; Lynn Eberly; David Knopman
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2.  Category fluency, latent semantic analysis and schizophrenia: a candidate gene approach.

Authors:  Kristin K Nicodemus; Brita Elvevåg; Peter W Foltz; Mark Rosenstein; Catherine Diaz-Asper; Daniel R Weinberger
Journal:  Cortex       Date:  2013-12-20       Impact factor: 4.027

Review 3.  Automated computerized analysis of speech in psychiatric disorders.

Authors:  Alex S Cohen; Brita Elvevåg
Journal:  Curr Opin Psychiatry       Date:  2014-05       Impact factor: 4.741

Review 4.  A model-based analysis of the impairment of semantic memory.

Authors:  Holly A Westfall; Michael D Lee
Journal:  Psychon Bull Rev       Date:  2021-04-08

5.  Searching for Semantic Knowledge: A Vector Space Semantic Analysis of the Feature Generation Task.

Authors:  Rebecca A Cutler; Melissa C Duff; Sean M Polyn
Journal:  Front Hum Neurosci       Date:  2019-10-04       Impact factor: 3.169

6.  Semantic Relations in a Categorical Verbal Fluency Test: An Exploratory Investigation in Mild Cognitive Impairment.

Authors:  Davide Quaranta; Chiara Piccininni; Alessia Caprara; Alessia Malandrino; Guido Gainotti; Camillo Marra
Journal:  Front Psychol       Date:  2019-12-17

7.  SNAFU: The Semantic Network and Fluency Utility.

Authors:  Jeffrey C Zemla; Kesong Cao; Kimberly D Mueller; Joseph L Austerweil
Journal:  Behav Res Methods       Date:  2020-08

8.  Computational linguistic analysis applied to a semantic fluency task: A replication among first-episode psychosis patients with and without derailment and tangentiality.

Authors:  Benson S Ku; Luca Pauselli; Michael A Covington; Michael T Compton
Journal:  Psychiatry Res       Date:  2021-07-10       Impact factor: 11.225

9.  Rigidity, chaos and integration: hemispheric interaction and individual differences in metaphor comprehension.

Authors:  Miriam Faust; Yoed N Kenett
Journal:  Front Hum Neurosci       Date:  2014-07-14       Impact factor: 3.169

  9 in total

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