Banca de DEFESA: JOSHUA MICHAEL MARTIN

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
DISCENTE : JOSHUA MICHAEL MARTIN
DATA : 08/12/2017
HORA: 14:00
LOCAL: Anfiteatro das Aves
TÍTULO:

Structural Differences in REM and Non-REM Dream Reports Assessed by Non-Semantic Speech Graph Analysis

PALAVRAS-CHAVES:

Dreams, non-REM dreaming, dream structure, report length, speech graph analysis.

PÁGINAS: 92
GRANDE ÁREA: Ciências Humanas
ÁREA: Psicologia
RESUMO:

The extent to which Rapid Eye Movement Sleep (REM) mentation may differ to that of non-REM remains an important area of enquiry in dream research. Previous studies have found that dream reports collected after REM awakenings are, on average, longer, more vivid, bizarre, emotional and story-like compared to those collected after non-REM. Despite this, a comparison of the word-to- word structural organisation of dream reports is lacking, and traditional measures that distinguish REM and non-REM dreaming may be confounded by report length. The analysis of speech as directed word graphs can be suitably applied, as it provides a structural assessment of verbal reports, while controlling for differences in verbosity. In the present study, we aimed to investigate the differences in the connectedness of dream reports and their approximation to a random-like structure through applying speech graph analysis to 125 mentation reports obtained from 19 participants in controlled laboratory awakenings from REM and N2 sleep. We found that: (1) transformed graphs from REM possess a larger connectedness compared to those from N2; (2) measures of graph structure can predict ratings of dream complexity, where increases in connectedness and decreases in their random-like nature are observed in relation to increasing dream report complexity; and (3) the Largest Connected Component (LCC) can improve a model containing report length in predicting sleep stage and dream complexity. These results suggest that REM dream reports have a larger connectedness compared to N2 (i.e. words recur with a longer range), which we interpret to be related to underlying differences in dream complexity. They also point to speech graph analysis as a promising method for dream research, due to its relation to dream complexity and its potential to complement report length in dream analysis.

MEMBROS DA BANCA:
Externo ao Programa - 1721223 - ADRIANO BRETANHA LOPES TORT
Externo à Instituição - FERNANDO MAZZILLI LOUZADA - UFPR
Presidente - 1660044 - SIDARTA TOLLENDAL GOMES RIBEIRO