The Role of Silence in Verbal Fluency Tasks - A New Approach for the Detection of Mild Cognitive Impairment.

OBJECTIVE: Most recordings of verbal fluency tasks include substantial amounts of task-irrelevant content that could provide clinically valuable information for the detection of mild cognitive impairment (MCI). We developed a method for the analysis of verbal fluency, focusing not on the task-relevant words but on the silent segments, the hesitations, and the irrelevant utterances found in the voice recordings. METHODS: Phonemic ('k', 't', 'a') and semantic (animals, food items, actions) verbal fluency data were collected from healthy control (HC; n = 25; Mage = 67.32) and MCI (n = 25; Mage = 71.72) participants. After manual annotation of the voice samples, 10 temporal parameters were computed based on the silent and the task-irrelevant segments. Traditional fluency measures, based on word count (correct words, errors, repetitions) were also employed in order to compare the outcome of the two methods. RESULTS: Two silence-based parameters (the number of silent pauses and the average length of silent pauses) and the average word transition time differed significantly between the two groups in the case of all three semantic fluency tasks. Subsequent receiver operating characteristic (ROC) analysis showed that these three temporal parameters had classification abilities similar to the traditional measure of counting correct words. CONCLUSION: In our approach for verbal fluency analysis, silence-related parameters displayed classification ability similar to the most widely used traditional fluency measure. Based on these results, an automated tool using voiced-unvoiced segmentation may be developed enabling swift and cost-effective verbal fluency-based MCI screening.

Temporal Speech Parameters Indicate Early Cognitive Decline in Elderly Patients With Type 2 Diabetes Mellitus.

INTRODUCTION: The earliest signs of cognitive decline include deficits in temporal (time-based) speech characteristics. Type 2 diabetes mellitus (T2DM) patients are more prone to mild cognitive impairment (MCI). The aim of this study was to compare the temporal speech characteristics of elderly (above 50 y) T2DM patients with age-matched nondiabetic subjects. MATERIALS AND METHODS: A total of 160 individuals were screened, 100 of whom were eligible (T2DM: n=51; nondiabetic: n=49). Participants were classified either as having healthy cognition (HC) or showing signs of MCI. Speech recordings were collected through a phone call. Based on automatic speech recognition, 15 temporal parameters were calculated. RESULTS: The HC with T2DM group showed significantly shorter utterance length, higher duration rate of silent pause and total pause, and higher average duration of silent pause and total pause compared with the HC without T2DM group. Regarding the MCI participants, parameters were similar between the T2DM and the nondiabetic subgroups. CONCLUSIONS: Temporal speech characteristics of T2DM patients showed early signs of altered cognitive functioning, whereas neuropsychological tests did not detect deterioration. This method is useful for identifying the T2DM patients most at risk for manifest MCI, and could serve as a remote cognitive screening tool.

Temporal Speech Parameters Detect Mild Cognitive Impairment in Different Languages: Validation and Comparison of the Speech-GAP Test® in English and Hungarian.

BACKGROUND: The development of automatic speech recognition (ASR) technology allows the analysis of temporal (time-based) speech parameters characteristic of mild cognitive impairment (MCI). However, no information has been available on whether the analysis of spontaneous speech can be used with the same efficiency in different language environments. OBJECTIVE: The main goal of this international pilot study is to address the question of whether the Speech-Gap Test® (S-GAP Test®), previously tested in the Hungarian language, is appropriate for and applicable to the recognition of MCI in other languages such as English. METHODS: After an initial screening of 88 individuals, English-speaking (n = 33) and Hungarianspeaking (n = 33) participants were classified as having MCI or as healthy controls (HC) based on Petersen's criteria. The speech of each participant was recorded via a spontaneous speech task. Fifteen temporal parameters were determined and calculated through ASR. RESULTS: Seven temporal parameters in the English-speaking sample and 5 in the Hungarian-speaking sample showed significant differences between the MCI and the HC groups. Receiver operating characteristics (ROC) analysis clearly distinguished the English-speaking MCI cases from the HC group based on speech tempo and articulation tempo with 100% sensitivity, and on three more temporal parameters with high sensitivity (85.7%). In the Hungarian-speaking sample, the ROC analysis showed similar sensitivity rates (92.3%). CONCLUSION: The results of this study in different native-speaking populations suggest that changes in acoustic parameters detected by the S-GAP Test® might be present across different languages.

Dementia in Hungary: General practitioners' routines and perspectives regarding early recognition.

Background: Undetected dementia in primary care is a global problem. Since general practitioners (GPs) act as the first step in the identification process, examining their routines could help us to enhance the currently low recognition rates.Objectives: The study aimed to explore, for the first time in Hungary, the dementia identification practices and views of GPs.Methods: In the context of an extensive, national survey (February-November 2014) 8% of all practicing GPs in Hungary (n = 402) filled in a self-administered questionnaire. The questions (single, multiple-choice, Likert-type) analysed in the present study explored GPs' methods and views regarding dementia identification and their ideas about the optimal circumstances of case-finding.Results: The vast majority of responding GPs (97%) agreed that the early recognition of dementia would enhance both the patients' and their relatives' well-being. When examining the possibility of dementia, most GPs (91%) relied on asking the patients general questions and only a quarter of them (24%) used formal tests, even though they were mostly satisfied with both the Clock Drawing Test (69%) and the Mini-Mental State Examination (65%). Longer consultation time was chosen as the most important facet of improvement needed for better identification of dementia in primary care (81%). Half of the GPs (49%) estimated dementia recognition rate to be lower than 30% in their practice.Conclusions: Hungarian GPs were aware of the benefits of early recognition, but the shortage of consultation time in primary care was found to be a major constraint on efficient case-finding.