Naming Images in Aphasia: Effects of Graphic Representations and Photographs on Naming Performance in Persons With and Without Aphasia

Reymond, Claire; Beierlein, Sandra Widmer; Müller, Christine; Reutimann, Ricarda; Kuntner, Katrin P.; Garcia, Noelia Falcon; Grumbinaite, Indre; Hemm, Simone; Degen, Markus; Parrillo, Fabrizio; Karlin, Stefan; Park, Sunghea; Renner, Michael; Blechschmidt, Anja

doi:10.1080/02687038.2022.2064421

Cited by 4 publications

(2 citation statements)

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“…Both seem to improve accuracy and latency of naming—presumably due to additional visual cues such as color, texture and shading compared to black and white line drawings. The difference between colored pictures and photographs, however, has not been universally evidenced (see Reymond et al, 2022 ). Neither, however, has affected the current state of affairs in the testing field, since most of the widely used PNTs (the BNT among them) feature their own picture sets, making inter-test comparison impossible ( Bonin et al, 2003 ).…”

Section: Conceptual Underpinnings Behind Picture Namingmentioning

confidence: 99%

Picture naming test through the prism of cognitive neuroscience and linguistics: adapting the test for cerebellar tumor survivors—or pouring new wine in old sacks?

Morkovina,

Manukyan,

Sharapkova

2024

Front. Psychol.

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A picture naming test (PNT) has long been regarded as an integral part of neuropsychological assessment. In current research and clinical practice, it serves a variety of purposes. PNTs are used to assess the severity of speech impairment in aphasia, monitor possible cognitive decline in aging patients with or without age-related neurodegenerative disorders, track language development in children and map eloquent brain areas to be spared during surgery. In research settings, picture naming tests provide an insight into the process of lexical retrieval in monolingual and bilingual speakers. However, while numerous advances have occurred in linguistics and neuroscience since the classic, most widespread PNTs were developed, few of them have found their way into test design. Consequently, despite the popularity of PNTs in clinical and research practice, their relevance and objectivity remain questionable. The present study provides an overview of literature where relevant criticisms and concerns have been expressed over the recent decades. It aims to determine whether there is a significant gap between conventional test design and the current understanding of the mechanisms underlying lexical retrieval by focusing on the parameters that have been experimentally proven to influence picture naming. We discuss here the implications of these findings for improving and facilitating test design within the picture naming paradigm. Subsequently, we highlight the importance of designing specialized tests with a particular target group in mind, so that test variables could be selected for cerebellar tumor survivors.

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Section: Conceptual Underpinnings Behind Picture Namingmentioning

confidence: 99%

Picture naming test through the prism of cognitive neuroscience and linguistics: adapting the test for cerebellar tumor survivors—or pouring new wine in old sacks?

Morkovina,

Manukyan,

Sharapkova

2024

Front. Psychol.

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“…Several therapies based on language (e.g., Brady et al, 2016), or an association between language and pictures (e.g., Reymond et al, 2022) or between language and gesture (e.g., Hanlon et al, 1990;Rose et al, 2002) are usually proposed by speech therapists to rehabilitate language and to propose alternative communication devices in patients with aphasia. More recently, new types of therapy using action observation have been introduced (e.g., Marangolo et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Point-light display: a new tool to improve verb recovery in patients with aphasia? A pilot study

et al. 2023

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The VOR is the version of the article after copy-editing and typesetting, and connected to open research data, open protocols, and open code where available. Any supplementary information can be found on the journal website, connected to the VOR.For research integrity purposes it is best practice to cite the published Version of Record (VOR), where available (for example, see ICMJE's guidelines on overlapping publications). Where users do not have access to the VOR, any citation must clearly indicate that the reference is to an Accepted Manuscript (AM) version.

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AI-Generated Images for Speech Pathology—An Exploratory Application to Aphasia Assessment and Intervention Materials

Pierce

2024

Am J Speech Lang Pathol

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Purpose: Images are a core component of aphasia assessment and intervention that require significant resources to produce or source. Text-to-image generation is an Artificial Intelligence (AI) technology that has recently made significant advances and could be a source of low-cost, highly customizable images. The aim of this study was to explore the potential of AI image generation for use in aphasia by examining its efficiency and cost during generation of typical images. Method: Two hundred targets (80 nouns, 80 verbs, and 40 sentences) were selected at random from existing aphasia assessments and treatment software. A widely known image generator, DALL-E 2, was given text prompts for each target. The success rate, number of prompts required, and costs were summarized across target categories (noun/verb/sentence) and compared to frequency and imageability. Results: Of 200 targets, 189 (94.5%) successfully conveyed the key concept. The process took a mean of 2.3 min per target at a cost of $0.31 in U.S. dollars each. However, there were aesthetic flaws in many successful images that could impact their utility. Noun images were generated with the highest efficiency and accuracy, followed by verbs, while sentences were more challenging, particularly those with unusual scenes. Patterns of flaws and errors in image generation are discussed. Conclusion: The ability to rapidly generate low-cost, high-quality images using AI is likely to be a major contribution to aphasia assessment and treatment going forward, particularly as advances in this technology continue.

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Naming Images in Aphasia: Effects of Graphic Representations and Photographs on Naming Performance in Persons With and Without Aphasia

Cited by 4 publications

References 58 publications

Picture naming test through the prism of cognitive neuroscience and linguistics: adapting the test for cerebellar tumor survivors—or pouring new wine in old sacks?

Picture naming test through the prism of cognitive neuroscience and linguistics: adapting the test for cerebellar tumor survivors—or pouring new wine in old sacks?

Point-light display: a new tool to improve verb recovery in patients with aphasia? A pilot study

AI-Generated Images for Speech Pathology—An Exploratory Application to Aphasia Assessment and Intervention Materials

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