SLPNarrative ReviewEar and hearing2023

Using Complex Networks in the Hearing Sciences.

Michael S Vitevitch, David B Pisoni, Lauren Soehlke and 1 others

PMID 37316992

WHAT IT FOUND

Spoken word recognition depends partly on how words are linked in the word store.

Words with less interconnected similar-sounding neighbors were recognized faster and more accurately. The paper suggests network-based hearing test development, but does not show better outcomes.

Key findings

01The structure of the word-sound network influences speech recognition and word access in listeners with normal hearing and listeners with hearing loss.

02In people with Wernicke's or Broca's aphasia, words in the large connected group of the network were produced less accurately than words in smaller groups or isolated words.

03In listeners with normal hearing, words with less interconnected similar-sounding neighbors were responded to more quickly and accurately than words with more interconnected similar-sounding neighbors.

STILL TO COME

How it was doneWhat they foundWhat it means for SLPs

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What it does not show

This is a narrative review, not a systematic review or clinical trial, so it does not provide a new estimate of patient benefit. The authors state that they do not prescribe how clinicians should apply network science and that any application would need thorough testing. Their supplemental analysis using the word list produced small effect sizes, and the paper does not show that network-based tests improve diagnosis or treatment. Many examples come from different populations and outcomes, so they cannot be combined into a clinical recommendation. The paper mainly discusses words and speech recognition, so it gives little direct guidance for physical therapy or occupational therapy.

Declared interests

The supplied metadata says the work was supported by NIH extramural research. The text does not provide an author conflict of interest statement.

The easy way to misread this

Do not treat this as evidence that network-based hearing tests or word lists improve patient outcomes. The paper reviews network structure and proposes possible applications, but it does not report a clinical trial showing better diagnosis or treatment.

Read it on PubMed →