Background: The field of voice and speech analysis has become increasingly popular over the last 10 years, and articles on its use in detecting neurodegenerative diseases have proliferated. Many studies have identified characteristic speech features that can be used to draw an accurate distinction between healthy aging among older people and those with mild cognitive impairment and Alzheimer's disease. Speech analysis has been singled out as a cost-effective and reliable method for detecting the presence of both conditions. In this research, a systematic review was conducted to determine these features and their diagnostic accuracy.Methods: Peer-reviewed literature was located across multiple databases, involving studies that apply new procedures of automatic speech analysis to collect behavioral evidence of linguistic impairments along with their diagnostic accuracy on Alzheimer's disease and mild cognitive impairment. The risk of bias was assessed by using JBI and QUADAS-2 checklists.Results: Thirty-five papers met the inclusion criteria; of these, 11 were descriptive studies that either identified voice features or explored their cognitive correlates, and the rest were diagnostic studies. Overall, the studies were of good quality and presented solid evidence of the usefulness of this technique. The distinctive acoustic and rhythmic features found are gathered. Most studies record a diagnostic accuracy over 88% for Alzheimer's and 80% for mild cognitive impairment.Conclusion: Automatic speech analysis is a promising tool for diagnosing mild cognitive impairment and Alzheimer's disease. The reported features seem to be indicators of the cognitive changes in older people. The specific features and the cognitive changes involved could be the subject of further research.

This study explores several speech parameters related to mild cognitive impairment, as well as those that might be flagging the presence of an underlying neurodegenerative process. Speech is an excellent biomarker because it is not invasive and, what is more, its analysis is rapid and economical. Our aim has been to ascertain whether the typical speech patterns of people with Alzheimer’s disease are also present during the disorder’s preclinical stages. To do so, we shall be using a task that involves reading out aloud. This is followed by an analysis of the recordings, looking for the possible parameters differentiating between those older people with MCI and a high probability of developing dementia and those with MCI that will not do so. We found that the disease’s most differentiating parameters prior to its onset involve changes in speech duration and an alteration in rhythm rate and intensity. These parameters seem to be related to the first difficulties in lexical access among older people with AD.

Background: During aging, changes in human speech may arise because of the neurophysiological deterioration associated with age, or as the result of an impairment in the cognitive processes underlying speech production. Some speech parameters show specific alterations under the presence of dementia. The objective of our study is to identify which of these parameters change because of age, cognitive state, or the interaction of both. Methods: The sample includes 400 people over 55 years old, who were divided into four groups, according to their age. The cognitive state of the participants was assessed through the MMSE test and three ranks were stablished. Gender was also considered in the analysis. Results: Certain temporal, fluency, rhythm, amplitude and voice quality parameters were found to be related to the cognitive state, while disturbance parameters changed due to age. Frequency parameters were exclusively influenced by gender. Conclusions: Understanding how speech parameters are specifically affected by age, cognitive state, or the interaction of both, is determinant to advance in the use of speech as a clinical marker for the detection of cognitive impairments.

Age-related cognitive impairment have increased dramatically in recent years, which has risen the interes in developing screening tools for mild cognitive impairment and Alzheimer's disease. Speech analysis allows to exploit the behavioral consequences of cognitive deficits on the patient's vocal performance so that it is possible to identify pathologies affecting speech production such as dementia. Previous studies have further shown that the speech task used determines how the speech parameters are altered. We aim to combine the impairments in several speech production tasks in order to improve the accuracy of screening through speech analysis. The sample consists of 72 participants divided into three equal groups of healthy older adults, people with mild cognitive impairment, or Alzheimer's disease, matched by age and education. A complete neuropsychological assessment and two voice recordings were performed. The tasks required the participants to read a text, and complete a sentence with semantic information. A stepwise linear discriminant analysis was performed to select speech parameters with discriminative power. The discriminative functions obtained an accuracy of 83.3% in simultaneous classifications of several levels of cognitive impairment. It would therefore be a promising screening tool for dementia.

This study explores young adults’ emotional affect and attitudes towards ageing, as well as older adults’ emotional affect and self-esteem following participation in the intergenerational videoconferencing programme Smile Connect (SC). The sample consisted of 94 participants (46 older Spanish adults living in a care home in Spain and 48 young Italian adults -secondary students- learning Spanish at school in Italy). Each age group was divided into an intervention and control group. SC consists of twelve 30-minute chat sessions conducted via Skype between the target groups over six weeks. Pre and post evaluations were made to assess the affect level in both groups, self-esteem among older people, and the level of negative stereotypes about ageing among young adults. At the end of the SC, the intervention group of older adults recorded significantly improved scores in self-esteem compared to the control group. Young adults recorded a reduction in their negative stereotypes about old age after taking part in the SC programme compared to those who did not. These findings suggest that involvement in the SC programme helps to improve the emotional affect of older adults living in care homes, as well as change the negative stereotypes about ageing among young adults.

Las primeras alteraciones lingüísticas propias de la Enfermedad de Alzheimer (EA) ocurren en el nivel léxico-semántico, fuertemente dependiente del estado de la memoria del hablante. Los cambios cualitativos en la memoria semántica, derivados de los procesos neurodegenerativos, dan lugar a la aparición de la anomia: la incapacidad de la persona afectada de acceder y recuperar tanto las unidades léxicas como sus bases conceptuales. En este trabajo, nos proponemos estudiar las características cognitivas y semánticas de la afectación anómica en EA e indagar en la posibilidad de su uso en pruebas para la detección temprana de la demencia. Para ello, analizamos los resultados de un modelo experimental de la clásica prueba de fluidez verbal semántica (FVSem), que introduce la división de la misma en cuatro intervalos de 15 segundos con el fin de determinar qué procesos de acceso semántico -los automáticos o los controlados- están alterados en diferentes estados cognitivos de la vejez (hablantes sin patología, hablantes con deterioro cognitivo leve y hablantes con EA). Los resultados de nuestro experimento apuntan a que existe una clara correlación entre el estado cognitivo del hablante y su habilidad léxico-semántica. Asimismo, evidencian, por un lado, que es importante aplicar la prueba de FVSem con duración no inferior a 60 segundos y con distribución en 4 intervalos de 15 segundos, y, por otro lado, que determinadas categorías semánticas -colores y frutas- son más susceptibles a la retrogénesis cognitiva propia de EA.