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Increasing our understanding of emotion recognition impairment among frontotemporal dementias

Commentary on “error profiles of facial emotion recognition in frontotemporal dementia and Alzheimer’s disease” by Gressie et al.

Published online by Cambridge University Press:  09 October 2023

Ashleigh O’Mara Baker*
Affiliation:
Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand Centre for Brain Research, University of Auckland, Auckland, New Zealand
Lynette J. Tippett
Affiliation:
Centre for Brain Research, University of Auckland, Auckland, New Zealand School of Psychology, The University of Auckland, Auckland, New Zealand

Abstract

Type
Commentary
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of International Psychogeriatric Association

Frontotemporal dementia (FTD) is a heterogenous group of dementias featuring progressive frontal and/or temporal deterioration, resulting in declining cognitive processes such as executive function, social cognition, and language abilities (Bang et al., Reference Bang, Spina and Miller2015). Under the umbrella term of FTD, there are three subtypes: behavioral variant frontotemporal dementia (bvFTD) characterized by behavioral change and deteriorating executive function and social cognition (Rascovsky et al., Reference Rascovsky2011); nonfluent variant primary progressive aphasia (nfvPPA, or PNFA) which presents with agrammatism in production and effortful and halting speech (Grossman, Reference Grossman2012; Neary et al., Reference Neary1998); and semantic-variant primary progressive aphasia (svPPA, also called SD), typically characterized by semantic loss of word and conceptual knowledge. About 30% of svPPA have greater temporal lobe atrophy on the right (hereafter labeled SD-right), resulting in behavioral change and perceptual disorders such as prosopagnosia (Neary et al., Reference Neary1998).

Diagnosis of FTD takes on average 4 years, in part not only because disease onset is often in younger individuals (<65 years of age), when dementia is not necessarily expected, but also because the varying behavioral and psychiatric symptoms complicate disease presentation (Loi et al., Reference Loi, Goh, Mocellin, Malpas, Parker and Eratne2022). This is precious time as FTD can swiftly progress, leading to death within 10 years, on average (Moore et al., Reference Moore2020). Consequently, the search for clinical markers to support the diagnosis of the subtypes of FTD and to facilitate differential diagnosis from other dementias such as Alzheimer’s disease (AD) is an important ongoing process.

Social cognition is considered a core feature of the clinical manifestation of FTD and may facilitate differential diagnosis between AD and bvFTD, for instance. Social cognition is a broad construct, however, and includes multiple processes underlying social interactions, including emotional processing, understanding the thoughts and feelings and intentions of others and attribution bias (Setién-Suero et al., Reference Setién-Suero, Murillo-García, Sevilla-Ramos, Abreu-Fernández, Pozueta and Ayesa-Arriola2022). Consequently, it can break down in a number of ways, for example, individuals in the early stages of bvFTD have notable impairments in theory of mind, while individuals in comparable states of AD only have difficulties with highly complex theory of mind tasks that may require other executive processes (Setién-Suero et al.). Understanding the specific patterns of impairments in the processes comprising social cognition in different subtypes of FTD and other dementias could effectively aid diagnosis.

Emotion recognition, a capacity subserving social cognition that is critical to social interactions, could prove useful in the diagnostic period, with bvFTD found to demonstrate poorer emotion recognition compared with AD (Bora et al., Reference Bora, Velakoulis and Walterfang2016; Jiskoot et al., Reference Jiskoot, Poos, Vollebergh, Franzen and Hemmen2021; Torralva et al., Reference Torralva, Roca, Gleichgerrcht, Bekinschtein and Manes2009), a finding present across several FTD subtypes (Kumfor and Piguet, Reference Kumfor and Piguet2012). Reduced capacity to recognize emotional expressions can also place great strain on the relationship between the person with dementia and their loved ones due to emotional insensitivity or misunderstanding (Kaizik et al., Reference Kaizik2017). A more specific understanding of the nature of these difficulties may assist with managing the disease, including assisting the burden and challenges experienced by carers.

A notable pattern emerging for both bvFTD and svPPA is increased difficulty in identifying negative emotions such as anger and disgust (Bora et al., Reference Bora, Velakoulis and Walterfang2016; Fernandez-Duque and Black, Reference Fernandez-Duque and Black2005; Kipps et al., Reference Kipps, Nestor, Acosta-Cabronero, Arnold and Hodges2009). In a recent study, Gressie et al. (Reference Gressie2023) examined facial emotion recognition and analyzed error patterns in all four FTD subtypes (bvFTD, SD, SD-right, and PNFA) and AD. They replicated the pattern of increased difficulty in recognizing negative facial emotions. The novel aspect of this study was that Gressie et al. sought to delineate whether the pattern and type of emotion recognition errors differed among FTD subtypes, compared with AD and age-matched controls. The authors reasoned that investigation of error patterns among FTD subtypes may increase knowledge of how each FTD subtype manifests, which could aid the diagnostic process. Gressie et al. were also motivated by the impact emotion recognition difficulties can have on an individual’s ability to understand and participate in social interactions; in particular, the impact decline in social cognition can have on the often strained person living within a dementia–care partner relationship (Kaizik et al., Reference Kaizik2017). Increased and more specific understanding may provide an opportunity to reduce care partner burden.

Gressie et al. (Reference Gressie2023) used the Facial Affect Selection Task (Kumfor et al., Reference Kumfor, Sapey-Triomphe, Leyton, Burrell, Hodges and Piguet2014; Miller et al., Reference Miller, Hsieh, Lah, Savage, Hodges and Piguet2012) which involves identifying the six basic emotions (happy, angry, sad, surprise, fear, and disgust) and neutral expressions. In addition to the lower accuracy of AD and all FTD subgroups except PNFA than control participants, they found that the relatively understudied SD-right group had the lowest accuracy of all groups. Errors in all groups were predominantly on emotions of negative affect, particularly disgust and fear. Error responses across groups and emotions did differ, but syndrome-specific error patterns were not identified. One exception was that in the bvFTD and SD-right groups only, the primary error responses were disgust. Additionally, the SD-right group was the only subtype that produced an error response of happy for surprised expressions and fear for neutral expressions. Gressie et al.’s findings indicate that while recording overall accuracy on a facial emotion recognition task would provide useful information during clinical work-up for dementia, error responses are not distinct enough to distinguish the dementia subtypes. The exception is that if bvFTD or one of the SD subtypes are part of differential diagnosis, the additional recording of error responses during such a task could be useful.

Recognition of basic emotional facial expressions during diagnostic work-up could be complimented by the assessment of self-conscious emotions (such as embarrassment or guilt), which are thought to guide social behavior. Jimenez and Mendez’s (Reference Jimenez and Mendez2022) found decreased self-conscious emotions in bvFTD compared to AD on care partner ratings in a pilot study. In contrast, self-reports of these emotions (using the Embarrassability (EMB) Scale, Mendez et al., Reference Mendez, Yerstein and Jimenez2020) failed to discriminate bvFTD and AD, presumably reflecting reduced emotional insight and self-awareness of bvFTD patients. Care partner ratings, but not self-reports on the EMB scale, were significantly correlated with skin conduction responses of the participant to an embarrassing event, providing converging measures of emotion impairment. This preliminary evidence suggests that self-reports should be avoided when examining self-conscious emotions, but that care partner ratings of these emotions may assist with discriminating bvFTD and AD during diagnostic work-up.

The need to reduce the time to diagnosis in young-onset dementia is a priority. Loi et al. (Reference Loi, Goh, Mocellin, Malpas, Parker and Eratne2022) made this case and showed that having a specialist young-onset dementia service significantly reduced the time to diagnosis by 12 months. Another important avenue to reducing diagnostic time is providing clinicians with further assessment tools that can be used during the diagnostic process to support a differential diagnosis. The assessment of facial emotion recognition accuracy, as suggested by Gressie et al. (Reference Gressie2023), would be a feasible, short measure that could be included in a young-onset dementia service such as that suggested by Loi et al. As shown by Gressie et al., recording error types during this task would be useful if bvFTD or one of the SD subtypes was part of the differential diagnosis and may contribute to improving the timely and accurate diagnosis of dementia. This may be further enhanced by including care partner ratings of self-conscious emotions (Jimenez and Mendez, Reference Jimenez and Mendez2022). Perhaps a complement to Gressie et al.’s suggested assessment of emotion recognition in a research setting could be the inclusion of other short measures of social cognition, such as Reading the Mind in the Eyes (Baron-Cohen et al., Reference Baron-Cohen, Wheelwright, Hill, Raste and Plumb2001), a TOM task, which combined with facial emotion recognition may be sensitive to earlier stages of change.

Gressie et al. (Reference Gressie2023) completed the first study that examined systematically the pattern of error responses in a facial emotion recognition task across all subtypes of FTD as well as AD. The inclusion of the SD-right subgroup showed how the performance of this group differed from the other FTD subtypes on this task and that their different patterns of responses on the facial emotion recognition task might enable more timely diagnosis. Additional clinical benefits may follow from increasing understanding of the emotional recognition deficits in FTD subtypes, ultimately leading to better disease management and improving the person living with dementia–care partner relationship.

Conflict of interest

None.

Description of authors’ roles

The authors, Ashleigh O’Mara Baker and Professor Lynette J. Tippett, equally contributed to the manuscript, revised, read, and approved the submitted version.

References

Bang, J., Spina, S. and Miller, B. L. (2015). Frontotemporal dementia. The Lancet, 386, 16721682. https://doi.org/10.1016/S0140-6736(15)00461-4.Google Scholar
Baron-Cohen, S., Wheelwright, S., Hill, J., Raste, Y. and Plumb, I. (2001). The “Reading the mind in the eyes” test revised version: a study with normal adults, and adults with asperger syndrome or high-functioning autism. Journal of Child Psychology and Psychiatry, 42, 241251. https://doi.org/10.1111/1469-7610.00715.Google Scholar
Bora, E., Velakoulis, D. and Walterfang, M. (2016). Meta-analysis of facial emotion recognition in behavioral variant frontotemporal dementia. Journal of Geriatric Psychiatry and Neurology, 29, 205211. https://doi.org/10.1177/0891988716640375.Google Scholar
Fernandez-Duque, D. and Black, S. E. (2005). Impaired recognition of negative facial emotions in patients with frontotemporal dementia. Neuropsychologia, 43, 16731687. https://doi.org/10.1016/j.neuropsychologia.2005.01.005.Google Scholar
Gressie, K. et al. (2023). Error profiles of facial emotion recognition in frontotemporal dementia and Alzheimer ’s disease. International Psychogeriatrics, 110. https://doi.org/10.1017/S1041610223000297.Google Scholar
Grossman, M. (2012). The non-fluent/agrammatic variant of primary progressive aphasia. The Lancet Neurology, 11, 545555. https://doi.org/10.1016/S1474-4422(12)70099-6.Google Scholar
Jimenez, E. E. and Mendez, M. F. (2022). Impaired self-conscious emotion ratings in frontotemporal dementia. International Journal of Psychogeriatrics, 34, 299300. https://doi.org/10.1017/S1041610221002805.Google Scholar
Jiskoot, L. C., Poos, J. M., Vollebergh, M. E., Franzen, S. and Hemmen, J. Van (2021). Emotion recognition of morphed facial expressions in presymptomatic and symptomatic frontotemporal dementia, and Alzheimer’s dementia. Journal of Neurology, 268, 102113. https://doi.org/10.1007/s00415-020-10096-y.Google Scholar
Kaizik, C. et al. (2017). Factors underpinning caregiver burden in frontotemporal dementia differ in spouses and their children. Journal of Alzheimer’s Disease, 56, 11091117. https://doi.org/10.3233/JAD-160852.Google Scholar
Kipps, C. M., Nestor, P. J., Acosta-Cabronero, J., Arnold, R. and Hodges, J. R. (2009). Understanding social dysfunction in the behavioural variant of frontotemporal dementia: the role of emotion and sarcasm processing. Brain, 132, 592603. https://doi.org/10.1093/brain/awn314.Google Scholar
Kumfor, F. and Piguet, O. (2012). Disturbance of emotion processing in frontotemporal dementia: a synthesis of cognitive and neuroimaging findings. Neuropsychology Review, 22, 280297. https://doi.org/10.1007/s11065-012-9201-6.Google Scholar
Kumfor, F., Sapey-Triomphe, L. A., Leyton, C. E., Burrell, J. R., Hodges, J. R. and Piguet, O. (2014). Degradation of emotion processing ability in corticobasal syndrome and Alzheimer’s disease. Brain, 137, 30613072. https://doi.org/10.1093/brain/awu246.Google Scholar
Loi, S. M., Goh, A. M. Y., Mocellin, R., Malpas, C. B., Parker, S. and Eratne, D. (etal, 2022)). Time to diagnosis in younger-onset dementia and the impact of a specialist diagnostic service. International Psychogeriatrics, 34, 367375. https://doi.org/10.1017/S1041610220001489.Google Scholar
Mendez, M. F., Yerstein, O. and Jimenez, E. E. (2020). Vicarious embarrassment or “fremdscham”: overendorsement in frontotemporal dementia. Journal of Neuropsychiatry and Clinical Neurosciences, 32, 274279. https://doi.org/10.1176/appi.neuropsych.19030053.Google Scholar
Miller, L. A., Hsieh, S., Lah, S., Savage, S., Hodges, J. R. and Piguet, O. (2012). One size does not fit all: face emotion processing impairments in semantic dementia, behavioural-variant frontotemporal dementia and alzheimer’s disease are mediated by distinct cognitive deficits. Behavioural Neurology, 25, 5360. https://doi.org/10.3233/BEN-2012-0349.Google Scholar
Moore, K. M. et al. (2020). Age at symptom onset and death and disease duration in genetic frontotemporal dementia: an international retrospective cohort study. The Lancet Neurology, 19, 145156. https://doi.org/10.1016/S1474-4422(19)30394-1.Google Scholar
Neary, D. et al. (1998). Frontotemporal lobar degeneration: a consensus on clinical diagnostic criteria. Neurology, 51, 15461554. https://doi.org/10.1212/wnl.51.6.1546.Google Scholar
Rascovsky, K. et al. (2011). Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia. Brain, 134, 24562477. https://doi.org/10.1093/brain/awr179.Google Scholar
Setién-Suero, E., Murillo-García, N., Sevilla-Ramos, M., Abreu-Fernández, G., Pozueta, A. and Ayesa-Arriola, R. (2022). Exploring the relationship between deficits in social cognition and neurodegenerative dementia: a systematic review. Frontiers in Aging Neuroscience, 14, 121. https://doi.org/10.3389/fnagi.2022.778093.Google Scholar
Torralva, T., Roca, M., Gleichgerrcht, E., Bekinschtein, T. and Manes, F. (2009). A neuropsychological battery to detect specific executive and social cognitive impairments in early frontotemporal dementia. Brain, 132, 12991309. https://doi.org/10.1093/brain/awp041.Google Scholar