Allostatic-Interoceptive Overload in Frontotemporal Dementia

Birba, Agustina; Santamaría-García, Hernando; Prado, Pável; Cruzat, Josephine; Ballesteros, A.; Legaz, Agustina; Fittipaldi, Sol; Durán-Aniotz, Claudia; Slachevsky, Andrea; Santibáñez, Rodrigo; Sigman, Mariano; García, Adolfo M.; Whelan, Robert; Moguilner, Sebastián; Ibáñez, Agustín

doi:10.1016/j.biopsych.2022.02.955

Cited by 42 publications

(49 citation statements)

References 150 publications

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“…bvFTD presents a pattern of progressive neurodegeneration involving fronto-temporo-insular regions [15]. These neurocognitive early changes could be the consequence of malfunctions in the dynamics of the allostatic-interoceptive process [10]. Of note, alterations of allostasis and interoception have been observed across neurodegenerative conditions and in other variants of FTD.…”

Section: Highlightsmentioning

confidence: 99%

“…Similarly, external demanding somatosensorial stimuli (i.e., electrical pulse) triggers increased HEP modulation [26]. In addition, the HEP involves source generators in both interoceptive and allostatic regions (e.g., the insula, anterior cingulate cortex, and amygdala), as well as associations with volume and cortical thickness of the right amygdala, bilateral insula, and bilateral anterior cingulate (key AIN regions) [10]. Similarly, a selective positive association between HEP and AIN has been observed in bvFTD, compared with other relevant resting-state networks [10].…”

Section: Measurements Of Allostasismentioning

confidence: 99%

“…In addition, the HEP involves source generators in both interoceptive and allostatic regions (e.g., the insula, anterior cingulate cortex, and amygdala), as well as associations with volume and cortical thickness of the right amygdala, bilateral insula, and bilateral anterior cingulate (key AIN regions) [10]. Similarly, a selective positive association between HEP and AIN has been observed in bvFTD, compared with other relevant resting-state networks [10]. The HEP has been evaluated among diverse populations, including people with neurodegenerative diseases [27,28,39], multiple sclerosis [29], generalized anxiety disorder [40], borderline personality disorder [41], as well as healthy participants [42].…”

Section: Measurements Of Allostasismentioning

confidence: 99%

“…The difference between the prediction (e.g., anticipation of feeling pain when getting vaccinated, thus tensing the arm muscles) and the actual sensory input (e.g., not even feeling the needle) generates a prediction error, which is sent back to the higher level in order to correct future predictions (e.g., relaxing arm muscles when receiving future vaccines). The predictive coding of allostasis and interoception may help understand dementia [9,10] and other neurological or psychiatric disorders [2,11].…”

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confidence: 99%

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A predictive coding framework of allostatic–interoceptive overload in frontotemporal dementia

Migeot¹,

Duran‐Aniotz²,

Signorelli³

et al. 2022

Trends in Neurosciences

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Section: Highlightsmentioning

confidence: 99%

Section: Measurements Of Allostasismentioning

confidence: 99%

Section: Measurements Of Allostasismentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

A predictive coding framework of allostatic–interoceptive overload in frontotemporal dementia

Migeot¹,

Duran‐Aniotz²,

Signorelli³

et al. 2022

Trends in Neurosciences

Self Cite

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“…The use of naturalistic, contextual and ecological approaches to embodied language (Birba, Beltrán, et al, 2020;Birba, Vitale, et al, 2020;García et al, 2020;Trevisan et al, 2017) seem to be a powerful tool to identify selective deficits in neurodegeneration and other brain diseases (Baez et al, 2020;Calvo et al, 2019;Díaz-Rivera et al, 2022;Eyigoz et al, 2020;García et al, 2018;Moguilner et al, 2021;Suárez-García et al, 2021). Interoceptive deficits and their relation with contextual modulation is also an innovative embodied approach across brain diseases (Abrevaya et al, 2020;Birba et al, 2022;de la Fuente et al, 2019;Fittipaldi et al, 2020;García-Cordero et al, 2016;Gonzalez Campo et al, 2020;Salamone et al, 2021;Yoris et al, 2020). Studying clinical groups can also reveal how embodied theories of language processing can help clinical treatment.…”

Section: From Normal Aging To Neurodegenerative Diseases and Brain Da...mentioning

confidence: 99%

Ecological meanings: A consensus paper on individual differences and contextual influences in embodied language

Ibáñez¹,

Kühne²,

Miklashevsky³

et al. 2022

Preprint

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Embodied theories of cognition consider many aspects of language and other cognitive domains as the result of sensory and motor processes. In this view, the appraisal and the use of concepts are based on mechanisms of simulation grounded on prior sensorimotor experiences. Even though these theories continue receiving attention and support, increasing evidence indicates the need to consider the flexible nature of the simulation process, and to accordingly refine embodied accounts. In this consensus paper, we discuss two potential sources of variability in experimental studies on embodiment of language: individual differences and context. Specifically, we show how factors contributing to individual differences may explain inconsistent findings in embodied language phenomena. These factors include sensorimotor or cultural experiences, imagery, context-related factors, and cognitive strategies. We also analyze the different contextual modulations, from single words to sentences and narratives, as well as the top-down and bottom-up influences. Similarly, we review recent efforts to include cultural and language diversity, aging, neurodegenerative diseases, and brain disorders, as well as bilingual evidence into the embodiment framework. We address the importance of considering individual differences and context in clinical studies to drive translational research more efficiently, and we indicate recommendations on how to correctly address these issues in future research. Systematically investigating individual differences and context may contribute to understanding the dynamic nature of simulation in language processes, refining embodied theories of cognition, and ultimately filling the gap between cognition in artificial experimental settings and cognition in the wild (i.e., in everyday life).

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Multivariate word properties in fluency tasks reveal markers of Alzheimer's dementia

Ferrante,

Migeot,

Birba

et al. 2023

Alzheimer's & Dementia

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INTRODUCTIONVerbal fluency tasks are common in Alzheimer's disease (AD) assessments. Yet, standard valid response counts fail to reveal disease‐specific semantic memory patterns. Here, we leveraged automated word‐property analysis to capture neurocognitive markers of AD vis‐à‐vis behavioral variant frontotemporal dementia (bvFTD).METHODSPatients and healthy controls completed two fluency tasks. We counted valid responses and computed each word's frequency, granularity, neighborhood, length, familiarity, and imageability. These features were used for group‐level discrimination, patient‐level identification, and correlations with executive and neural (magnetic resonanance imaging [MRI], functional MRI [fMRI], electroencephalography [EEG]) patterns.RESULTSValid responses revealed deficits in both disorders. Conversely, frequency, granularity, and neighborhood yielded robust group‐ and subject‐level discrimination only in AD, also predicting executive outcomes. Disease‐specific cortical thickness patterns were predicted by frequency in both disorders. Default‐mode and salience network hypoconnectivity, and EEG beta hypoconnectivity, were predicted by frequency and granularity only in AD.DISCUSSIONWord‐property analysis of fluency can boost AD characterization and diagnosis.Highlights We report novel word‐property analyses of verbal fluency in AD and bvFTD. Standard valid response counts captured deficits and brain patterns in both groups. Specific word properties (e.g., frequency, granularity) were altered only in AD. Such properties predicted cognitive and neural (MRI, fMRI, EEG) patterns in AD. Word‐property analysis of fluency can boost AD characterization and diagnosis.

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Allostatic-Interoceptive Overload in Frontotemporal Dementia

Cited by 42 publications

References 150 publications

A predictive coding framework of allostatic–interoceptive overload in frontotemporal dementia

A predictive coding framework of allostatic–interoceptive overload in frontotemporal dementia

Ecological meanings: A consensus paper on individual differences and contextual influences in embodied language

Multivariate word properties in fluency tasks reveal markers of Alzheimer's dementia

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