Emotional processing in patients with mild cognitive impairment: The influence of the valence and intensity of emotional stimuli

Sarabia‐Cobo, Carmen; García-Rodríguez, Beatriz; Navas, M.J.; Ellgring, Heiner

doi:10.1016/j.jns.2015.07.034

Cited by 15 publications

(7 citation statements)

References 49 publications

(67 reference statements)

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“…Patients with lower MoCA scores had lower performance in the facial and vocal emotion recognition tasks. This is consistent with results linking cognitive performance with facial emotion recognition in MCI (e.g., Henry et al, 2012;Pietschnig et al, 2015;Sarabia-Cobo, García-Rodríguez, Navas, & Ellgring, 2015;Spoletini et al, 2008;Teng et al, 2007;Weiss et al, 2008) and with associations uncovered in samples covering the full continuum of cognitive capacity (Virtanen et al, 2017). It is also consistent with the notion that domain-general cognitive resources might play a role in emotion recognition processes (e.g., .…”

Section: Discussionsupporting

confidence: 88%

Impaired Recognition of Facial and Vocal Emotions in Mild Cognitive Impairment

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et al. 2021

J Int Neuropsychol Soc

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Objective: The ability to recognize others’ emotions is a central aspect of socioemotional functioning. Emotion recognition impairments are well documented in Alzheimer’s disease and other dementias, but it is less understood whether they are also present in mild cognitive impairment (MCI). Results on facial emotion recognition are mixed, and crucially, it remains unclear whether the potential impairments are specific to faces or extend across sensory modalities, Method: In the current study, 32 MCI patients and 33 cognitively intact controls completed a comprehensive neuropsychological assessment and two forced-choice emotion recognition tasks, including visual and auditory stimuli. The emotion recognition tasks required participants to categorize emotions in facial expressions and in nonverbal vocalizations (e.g., laughter, crying) expressing neutrality, anger, disgust, fear, happiness, pleasure, surprise, or sadness. Results: MCI patients performed worse than controls for both facial expressions and vocalizations. The effect was large, similar across tasks and individual emotions, and it was not explained by sensory losses or affective symptomatology. Emotion recognition impairments were more pronounced among patients with lower global cognitive performance, but they did not correlate with the ability to perform activities of daily living. Conclusions: These findings indicate that MCI is associated with emotion recognition difficulties and that such difficulties extend beyond vision, plausibly reflecting a failure at supramodal levels of emotional processing. This highlights the importance of considering emotion recognition abilities as part of standard neuropsychological testing in MCI, and as a target of interventions aimed at improving social cognition in these patients.

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Section: Discussionsupporting

confidence: 88%

Impaired Recognition of Facial and Vocal Emotions in Mild Cognitive Impairment

Moreira

Costa

Machado

et al. 2021

J Int Neuropsychol Soc

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“…Abnormalities in different brain regions, such as frontal regions and anterior cingulate, were also revealed in previous neuroimaging studies on emotion regulation in AD-D and MCI [19,20]. Significant differences in facial emotion recognition were described and assessed in patients with AD dementia (AD-D) [7,8] and MCI [7,9,10].…”

Section: Introductionmentioning

confidence: 71%

“…A broadly observed difference in people with cognitive impairment is difficulty recognizing and processing facial expressions [7][8][9][10][11][12][13][14][15][16][17][18], which may provide an early signal to family and friends for seeking a diagnosis or initiating treatment. Abnormalities in different brain regions, such as frontal regions and anterior cingulate, were also revealed in previous neuroimaging studies on emotion regulation in AD-D and MCI [19,20].…”

Section: Introductionmentioning

confidence: 99%

Automated analysis of facial emotions in subjects with cognitive impairment

et al. 2022

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Differences in expressing facial emotions are broadly observed in people with cognitive impairment. However, these differences have been difficult to objectively quantify and systematically evaluate among people with cognitive impairment across disease etiologies and severity. Therefore, a computer vision-based deep learning model for facial emotion recognition trained on 400.000 faces was utilized to analyze facial emotions expressed during a passive viewing memory test. In addition, this study was conducted on a large number of individuals (n = 493), including healthy controls and individuals with cognitive impairment due to diverse underlying etiologies and across different disease stages. Diagnoses included subjective cognitive impairment, Mild Cognitive Impairment (MCI) due to AD, MCI due to other etiologies, dementia due to Alzheimer’s diseases (AD), and dementia due to other etiologies (e.g., Vascular Dementia, Frontotemporal Dementia, Lewy Body Dementia, etc.). The Montreal Cognitive Assessment (MoCA) was used to evaluate cognitive performance across all participants. A participant with a score of less than or equal to 24 was considered cognitively impaired (CI). Compared to cognitively unimpaired (CU) participants, CI participants expressed significantly less positive emotions, more negative emotions, and higher facial expressiveness during the test. In addition, classification analysis revealed that facial emotions expressed during the test allowed effective differentiation of CI from CU participants, largely independent of sex, race, age, education level, mood, and eye movements (derived from an eye-tracking-based digital biomarker for cognitive impairment). No screening methods reliably differentiated the underlying etiology of the cognitive impairment. The findings provide quantitative and comprehensive evidence that the expression of facial emotions is significantly different in people with cognitive impairment, and suggests this may be a useful tool for passive screening of cognitive impairment.

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“…In our study, we selected the HAMD and the NPI to evaluate depressive symptoms in MCI, as a previous study did [ 9 ]. However, other studies have used different scales, such as the Geriatric Depression Scale [ 56 ], the Cornell Scale for Depression in Dementia [ 57 ], and the Center for Epidemiologic Studies Depression Scale [ 58 ]. Evaluating depressive symptoms comprehensively and accurately in MCI is difficult because of the cognitive impairment.…”

Section: Discussionmentioning

confidence: 99%

Altered Intrinsic Coupling between Functional Connectivity Density and Amplitude of Low-Frequency Fluctuation in Mild Cognitive Impairment with Depressive Symptoms

et al. 2018

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Neuroimaging studies have demonstrated that major depressive disorder increases the risk of dementia in older individuals with mild cognitive impairment. We used resting-state functional magnetic resonance imaging to explore the intrinsic coupling patterns between the amplitude and synchronisation of low-frequency brain fluctuations using the amplitude of low-frequency fluctuations (ALFF) and the functional connectivity density (FCD) in 16 patients who had mild cognitive impairment with depressive symptoms (D-MCI) (mean age: 69.6 ± 6.2 years) and 18 patients with nondepressed mild cognitive impairment (nD-MCI) (mean age: 72.1 ± 9.7 years). Coupling was quantified as the correlations between the ALFF values and their associated FCDs. The results showed that the ALFF values in the D-MCI group were higher in the left medial prefrontal cortex (mPFC) and lower in the right precentral gyrus (preCG), and the FCD values were higher in the left medial temporal gyrus (MTG) than those in the nD-MCI group. Further, correlation analyses demonstrated that, in the D-MCI group, the mPFC was negatively correlated with the MTG. These findings may relate to the characteristics of mood disorders in patients with MCI, and they offer further insight into the neuropathophysiology of MCI with depressive symptoms.

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Emotional processing in patients with mild cognitive impairment: The influence of the valence and intensity of emotional stimuli

Cited by 15 publications

References 49 publications

Impaired Recognition of Facial and Vocal Emotions in Mild Cognitive Impairment

Impaired Recognition of Facial and Vocal Emotions in Mild Cognitive Impairment

Automated analysis of facial emotions in subjects with cognitive impairment

Altered Intrinsic Coupling between Functional Connectivity Density and Amplitude of Low-Frequency Fluctuation in Mild Cognitive Impairment with Depressive Symptoms

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