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  1. 26 de oct. de 2022 · Clustering and Switching During Verbal Fluency in Typical and Atypical Development: A Systematic Review in Children and Adolescents. Published: 26 October 2022. Volume 42 , pages 27516–27533, ( 2023 ) Cite this article. Download PDF. Vanessa Arán Filippetti, Gabriela Krumm & Mariana Beatriz López. 369 Accesses. 1 Citation. Explore all metrics.

  2. 22 de jul. de 2014 · The verbal fluency test is a short test of verbal functioning (e.g., Lezak et al., 2012 ). It typically consists of two tasks: category fluency (sometimes called semantic fluency; Benton, 1968) and letter fluency (sometimes called phonemic fluency; Newcombe, 1969 ).

  3. 22 de nov. de 2021 · Clustering and switching in verbal fluency: a comparison between control and individuals with brain damage - PMC. Journal List. Codas. v.34 (2); 2022. PMC9769432. As a library, NLM provides access to scientific literature.

  4. 1 de nov. de 2023 · Clustering and Switching in Semantic Verbal Fluency: Their Development and Relationship with Word Productivity in Typically Developing Greek-Speaking Children and Adolescents - PMC. Journal List. J Intell. PMC10671952. As a library, NLM provides access to scientific literature.

  5. 27 de ago. de 2018 · Cluttering is a fluency disorder which can be characterised by excessive disfluencies. However, the low number of studies dealing with the analysis of disfluencies in cluttering show contradictory results. The aim of this article is to analyse disfluency clusters in cluttered, fast and typical speech.

  6. 1 de jun. de 1998 · Clustering and switching on verbal fluency: the effects of focal frontal- and temporal-lobe lesions - ScienceDirect. Neuropsychologia. Volume 36, Issue 6, 1 June 1998, Pages 499-504. Clustering and switching on verbal fluency: the effects of focal frontal- and temporal-lobe lesions. Angela K Troyer 1. , Morris Moscovitch 2 1. , Gordon Winocur 3 1.

  7. 3 de mar. de 2020 · We present SNAFU: the Semantic Network and Fluency Utility, a tool for estimating networks from fluency data and automatizing traditional fluency analyses, including counting cluster switches and cluster sizes, intrusions, perseverations, and word frequencies.