Literature DB >> 17970724

Differential impact of brain damage on the access mode to memory representations: an information theoretic approach.

Rosapia Lauro-Grotto1, Elisa Ciaramelli, Carolina Piccini, Alessandro Treves.   

Abstract

Different access modes to information stored in long-term memory can lead to different distributions of errors in classification tasks. We have designed a famous faces memory classification task that allows for the extraction of a measure of metric content, an index of the relevance of semantic cues for classification performance. High levels of metric content are indicative of a relatively preferred semantic access mode, while low levels, and similar correct performance, suggest a preferential episodic access mode. Compared with normal controls, the metric content index was increased in patients with Alzheimer's disease (AD), decreased in patients with herpes simplex encephalitis, and unvaried in patients with insult in the prefrontal cortex. Moreover, the metric content index was found to correlate with a measure of the severity of dementia in patients with AD, and to track the progression of the disease. These results underline the role of the medial-temporal lobes and of the temporal cortex, respectively, for the episodic and semantic routes to memory retrieval. Moreover, they confirm the reliability of information theoretic measures for characterizing the structure of the surviving memory representations in memory-impaired patient populations.

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Year:  2007        PMID: 17970724     DOI: 10.1111/j.1460-9568.2007.05881.x

Source DB:  PubMed          Journal:  Eur J Neurosci        ISSN: 0953-816X            Impact factor:   3.386


  2 in total

1.  The Capacity for Correlated Semantic Memories in the Cortex.

Authors:  Vezha Boboeva; Romain Brasselet; Alessandro Treves
Journal:  Entropy (Basel)       Date:  2018-10-26       Impact factor: 2.524

2.  Unveiling the metric structure of internal representations of space.

Authors:  Federico Stella; Erika Cerasti; Alessandro Treves
Journal:  Front Neural Circuits       Date:  2013-04-26       Impact factor: 3.492

  2 in total

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