MétaCan
Menu
← Back to cohort
Record W7116950357 · doi:10.1002/alz70862_109837

Altered spatiotemporal brain dynamics of interoception in behavioural‐variant frontotemporal dementia

2025· article· en· W7116950357 on OpenAlexaff
Jessica L. Hazelton, Gabriel Della Bella, Pablo Barttfeld, Martín Dottori, Raul Gonzalez‐Gomez, Joaquin Migeot, Sebastián Moguilner, Agustina Legaz, Hernan Hernandez, Pavel Prado, Jhosmary Cuadros, Marcelo Adrián Maito, Matias Fraile‐Vazquez, M. Gadea, Yasir Çatal, Bruce L. Miller, Olivier Piguet, Georg Northoff, Agustín Ibáñez

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsRoyal Ottawa Mental Health Centre
Fundersnot available
KeywordsInteroceptionMechanism (biology)Frontotemporal dementiaDynamics (music)UnderpinningHuman brainBrain activity and meditationDisease

Abstract

fetched live from OpenAlex

BACKGROUND: Dysfunctional allostatic-interoception, altered processing of bodily signals in response to environmental demands, occurs in behavioural-variant frontotemporal dementia (bvFTD) patients. Previous research, however, has focused on static measures of interoception (e.g., heart-evoked potential, HEP). These measures do not capture the dynamic nature of interoception, unlike intrinsic neural timescales. Intrinsic neural timescales refers to the temporal durations over which information is processed within the spatiotemporal hierarchy of the brain, with shorter timescales representing more rapid processing. We hypothesised that longer intrinsic neural timescales of interoception would occur in bvFTD patients, evidencing dysfunctional allostatic-interoception. METHOD: One-hundred and twelve participants (31 bvFTD patients, 35 Alzheimer's disease patients, AD and 46 healthy controls) completed a well-validated task measuring cardiac-interoception and exteroception. Simultaneous EEG and ECG were recorded. Intrinsic neural timescales were measured via the autocorrelation window (ACW) of broadband EEG signals from each heartbeat and a time-lagged version of itself. Spatiotemporal clustering analyses identified clusters with significant between-group differences in each condition. HEP modulation analyses were also conducted and covaried for to investigate potential relationships between HEP and ACW. Voxel-based morphometry was used to target the allostatic-interoceptive network. Neuropsychological tests of cognition and social cognition were assessed. RESULT: In bvFTD patients, longer interoceptive-ACWs than controls were observed in the bilateral fronto-temporal and parietal regions (Figure 1). In AD patients, longer interoceptive-ACWs than controls were observed in central and occipitoparietal brain regions (Figure 1). No differences were observed during exteroception. In bvFTD patients only, longer interoceptive-ACW was linked to worse sociocognitive performance. Our interoceptive-ACW results, remained the same when accounting for HEP modulation. Structural neural correlates of interoceptive-ACW in bvFTD involved the anterior cingulate, insula, orbitofrontal cortex, hippocampus, and angular gyrus (Figure 2). No structural differences emerging in AD. CONCLUSION: Our findings suggest a core allostatic-interoceptive deficit occurs in people with bvFTD, captured by altered brain dynamics of intrinsic neural timescales. In AD, it is possible that a more generalised disruption of brain oscillation occurs. Altered interoceptive intrinsic neural timescales may provide a neurobiological mechanism underpinning the complex behaviours observed in bvFTD patients. Our findings support synergistic models of brain disease and can inform clinical practice.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.295
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueAlzheimer s & Dementia→Same topicPsychosomatic Disorders and Their Treatments→French-language works237,207→