Recommendations for the Use of ICT in Elderly Populations with Affective Disorders

Gros, Auriane; Bensamoun, David; Manera, Valéria; Fabre, Roxane; Zacconi-Cauvin, Anne Marie; Thümmler, Susanne; Benoît, Michel; Robert, Philippe; David, Renaud

doi:10.3389/fnagi.2016.00269

Cited by 23 publications

(17 citation statements)

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“…New information and communication technologies can provide objective and more sensitive measures of human behaviors and have been recommended for neurocognitive disorders and apathy [ 17 , 18 ]. The behavioral correlates of apathy have been investigated through oculomotor movement using eye tracking [ 19 ], global activity or sleep disturbances using accelerometers [ 20 , 21 ], voice features [ 22 , 23 ], and facial expressivity [ 24 - 26 ].…”

Section: Introductionmentioning

confidence: 99%

Correlations Between Facial Expressivity and Apathy in Elderly People With Neurocognitive Disorders: Exploratory Study

Zeghari¹,

König²,

Guerchouche³

et al. 2021

JMIR Form Res

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Background Neurocognitive disorders are often accompanied by behavioral symptoms such as anxiety, depression, and/or apathy. These symptoms can occur very early in the disease progression and are often difficult to detect and quantify in nonspecialized clinical settings. Objective We focus in this study on apathy, one of the most common and debilitating neuropsychiatric symptoms in neurocognitive disorders. Specifically, we investigated whether facial expressivity extracted through computer vision software correlates with the severity of apathy symptoms in elderly subjects with neurocognitive disorders. Methods A total of 63 subjects (38 females and 25 males) with neurocognitive disorder participated in the study. Apathy was assessed using the Apathy Inventory (AI), a scale comprising 3 domains of apathy: loss of interest, loss of initiation, and emotional blunting. The higher the scale score, the more severe the apathy symptoms. Participants were asked to recall a positive and a negative event of their life, while their voice and face were recorded using a tablet device. Action units (AUs), which are basic facial movements, were extracted using OpenFace 2.0. A total of 17 AUs (intensity and presence) for each frame of the video were extracted in both positive and negative storytelling. Average intensity and frequency of AU activation were calculated for each participant in each video. Partial correlations (controlling for the level of depression and cognitive impairment) were performed between these indexes and AI subscales. Results Results showed that AU intensity and frequency were negatively correlated with apathy scale scores, in particular with the emotional blunting component. The more severe the apathy symptoms, the less expressivity in specific emotional and nonemotional AUs was displayed from participants while recalling an emotional event. Different AUs showed significant correlations depending on the sex of the participant and the task’s valence (positive vs negative story), suggesting the importance of assessing male and female participants independently. Conclusions Our study suggests the interest of employing computer vision-based facial analysis to quantify facial expressivity and assess the severity of apathy symptoms in subjects with neurocognitive disorders. This may represent a useful tool for a preliminary apathy assessment in nonspecialized settings and could be used to complement classical clinical scales. Future studies including larger samples should confirm the clinical relevance of this kind of instrument.

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Section: Introductionmentioning

confidence: 99%

Correlations Between Facial Expressivity and Apathy in Elderly People With Neurocognitive Disorders: Exploratory Study

Zeghari¹,

König²,

Guerchouche³

et al. 2021

JMIR Form Res

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“…Regardless of elderly physical constraint, ICT can attract the elderly in social activities [22]. Past researchers discussed on how to reduce elderly loneliness, increase the participation of the elderly in the activities even though of their frailty [24] by recommended to use ICT in managing themselves [23].…”

Section: Introductionmentioning

confidence: 99%

Intrinsic motivations for productive ageing

Karim¹,

Haron²,

Abdullah³

et al. 2019

IJEECS

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The involvement of the elderly in the activities is low compare to younger adult due to their frailty. This paper presents intrinsic motivations for productive ageing where it highlights the factors that motivate the elderly to participate in the activities. There are thirteen elderly respondents came from the people in the urban Klang Valley. The qualitative data analysis approach is used in this study. There are five intrinsic factors, which, consist of Autonomy, Competence, Relatedness, Curiosity and Altruism that motivate the participation of the elderly in volunteering, caregiving and self-development activities in this study. This research focuses on activities that resulted intrinsic values and not on monetary value like most of past researchers. Intrinsic motivation features are significant features in ICT as the identification of the ICT features is based on motivation to use the ICT.

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“…More generally, the use of commercial video games tends to increase patients' motivation and levels of involvement compared to conventional rehabilitation approaches (Bonnechere et al 2016). The gamification process of any cognitive training is likely able to increase participants' motivation and engagement (Lumsden et al 2016;Gros et al 2016). The use of VR approaches has already shown benefits to reduce anxiety and depression levels in elderly individuals (Gros et al 2016).…”

Section: Nonpharmacological Approachesmentioning

confidence: 99%

“…The gamification process of any cognitive training is likely able to increase participants' motivation and engagement (Lumsden et al 2016;Gros et al 2016). The use of VR approaches has already shown benefits to reduce anxiety and depression levels in elderly individuals (Gros et al 2016).…”

Section: Nonpharmacological Approachesmentioning

confidence: 99%

(Neurobiology of) Dementia: Causes, Presentation and Management

Bensamoun

Mouton

Ettore

et al. 2016

Mental Health and Illness Worldwide

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Alzheimer's disease is the main type of dementia in aging populations and is characterized by a progressive impairment in cognitive abilities associated with behavioral and psychological changes and a progressive loss of autonomy. Other dementia syndromes in aging can, however, be observed but their frequency is lower. The present chapter will describe the clinical course and aetiologies of the main dementia syndromes in elderly populations as well as the main therapeutic options for the management of dementia.

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Recommendations for the Use of ICT in Elderly Populations with Affective Disorders

Cited by 23 publications

References 80 publications

Correlations Between Facial Expressivity and Apathy in Elderly People With Neurocognitive Disorders: Exploratory Study

Correlations Between Facial Expressivity and Apathy in Elderly People With Neurocognitive Disorders: Exploratory Study

Intrinsic motivations for productive ageing

(Neurobiology of) Dementia: Causes, Presentation and Management

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