Makale detayı · 2022 · article
Allostatic-Interoceptive Overload in Frontotemporal Dementia
Veri kaynağı ayrımı
- YÖKSİSYÖKSİS makale kaydı
- YÖKSİS dergi adıBiological Psychiatry
- Katalog eşleşmesi (ISSN)Biological Psychiatry
- OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)
- Semantic Scholaratıf sayısı (OpenAlex ile birleştirilmez)
Özet
BACKGROUND: The predictive coding theory of allostatic-interoceptive load states that brain networks mediating autonomic regulation and interoceptive-exteroceptive balance regulate the internal milieu to anticipate future needs and environmental demands. These functions seem to be distinctly compromised in behavioral variant frontotemporal dementia (bvFTD), including alterations of the allostatic-interoceptive network (AIN). Here, we hypothesize that bvFTD is typified by an allostatic-interoceptive overload. METHODS: We assessed resting-state heartbeat evoked potential (rsHEP) modulation as well as its behavioral and multimodal neuroimaging correlates in patients with bvFTD relative to healthy control subjects and patients with Alzheimer's disease (N = 94). We measured 1) resting-state electroencephalography (to assess the rsHEP, prompted by visceral inputs and modulated by internal body sensing), 2) associations between rsHEP and its neural generators (source location), 3) cognitive disturbances (cognitive state, executive functions, facial emotion recognition), 4) brain atrophy, and 5) resting-state functional magnetic resonance imaging functional connectivity (AIN vs. control networks). RESULTS: Relative to healthy control subjects and patients with Alzheimer's disease, patients with bvFTD presented more negative rsHEP amplitudes with sources in critical hubs of the AIN (insula, amygdala, somatosensory cortex, hippocampus, anterior cingulate cortex). This exacerbated rsHEP modulation selectively predicted the patients' cognitive profile (including cognitive decline, executive dysfunction, and emotional impairments). In addition, increased rsHEP modulation in bvFTD was associated with decreased brain volume and connectivity of the AIN. Machine learning results confirmed AIN specificity in predicting the bvFTD group. CONCLUSIONS: Altogether, these results suggest that bvFTD may be characterized by an allostatic-interoceptive overload manifested in ongoing electrophysiological markers, brain atrophy, functional networks, and cognition.
Konular
Atıflar
OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.
72atıfOpenAlex · cited_by_count (önbellek / veritabanı)
Yerel katalogda bu makaleye atıf yapan 19 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).
- 2022 A predictive coding framework of allostatic–interoceptive overload in frontotemporal dementiaAtıf 76 · OpenAlex
- 2023 The BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgroundsAtıf 74 · OpenAlex
- 2024 A synergetic turn in cognitive neuroscience of brain diseasesAtıf 64 · OpenAlex
- 2025 Allostatic Interoceptive Overload Across Psychiatric and Neurological ConditionsAtıf 63 · OpenAlex
- 2023 Ecological Meanings: A Consensus Paper on Individual Differences and Contextual Influences in Embodied LanguageAtıf 47 · OpenAlex
- 2023 Visual deep learning of unprocessed neuroimaging characterises dementia subtypes and generalises across non-stereotypic samplesAtıf 41 · OpenAlex
- 2023 Source space connectomics of neurodegeneration: One-metric approach does not fit allAtıf 28 · OpenAlex
- 2023 Harmonized multi‐metric and multi‐centric assessment of EEG source space connectivity for dementia characterizationAtıf 25 · OpenAlex
- 2024 Structural inequality and temporal brain dynamics across diverse samplesAtıf 21 · OpenAlex
- 2024 Structural inequality linked to brain volume and network dynamics in aging and dementia across the AmericasAtıf 21 · OpenAlex