Poster No:
249
Submission Type:
Late-Breaking Abstract Submission
Authors:
Jessica Hazelton1,2,3, Gabriel Della Bella4, Hernan Hernandez1, Florencia Altschuler2, Dante Sebastián Galván Rial4,1, Pablo Barttfeld4,1, Sophie Matis5, Raul Gonzalez Gomez6, Elisa Resende7,8, Hernando Santamaría-García9,10, Christopher Morrow11, Chiadi Onyike11, Olivier Piguet3, Ramon Landin-Romero12, Agustín Ibáñez1,8,13,2
Institutions:
1Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, Santiago, Chile, 2Cognitive Neuroscience Center (CNC), Universidad de San Andres, Buenos Aires, Argentina, 3The University of Sydney, Brain and Mind Centre, School of Psychology, Sydney, Australia, 4Universidad Nacional de Córdoba, Córdoba, Argentina, 5The University of Sydney, Sydney, Australia, 6Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile, 7Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil, 8Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), California, United States, United States, 9Pontificia Universidad Javeriana, PhD program of Neuroscience, Bogotá, Colombia, 10Global Brain Health Institute (GBHI), Trinity College Dublin, California, United States, United States, 11Johns Hopkins University School of Medicine, Baltimore, United States, 12The University of Sydney, School of Health Sciences, Sydney, Australia, 13Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland, Ireland
First Author:
Jessica Hazelton, Dr
Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez|Cognitive Neuroscience Center (CNC), Universidad de San Andres|The University of Sydney, Brain and Mind Centre, School of Psychology
Santiago, Chile|Buenos Aires, Argentina|Sydney, Australia
Co-Author(s):
Hernan Hernandez, Dr
Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez
Santiago, Chile
Florencia Altschuler
Cognitive Neuroscience Center (CNC), Universidad de San Andres
Buenos Aires, Argentina
Dante Sebastián Galván Rial
Universidad Nacional de Córdoba|Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez
Córdoba, Argentina|Santiago, Chile
Pablo Barttfeld, PhD
Universidad Nacional de Córdoba|Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez
Córdoba, Argentina|Santiago, Chile
Elisa Resende, MD, PhD
Universidade Federal de Minas Gerais|Global Brain Health Institute (GBHI), University of California San Francisco (UCSF)
Belo Horizonte, Minas Gerais, Brazil|California, United States, United States
Hernando Santamaría-García, MD, PhD
Pontificia Universidad Javeriana, PhD program of Neuroscience|Global Brain Health Institute (GBHI), Trinity College Dublin
Bogotá, Colombia|California, United States, United States
Olivier Piguet
The University of Sydney, Brain and Mind Centre, School of Psychology
Sydney, Australia
Agustín Ibáñez
Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez|Global Brain Health Institute (GBHI), University of California San Francisco (UCSF)|Global Brain Health Institute (GBHI), Trinity College Dublin|Cognitive Neuroscience Center (CNC), Universidad de San Andres
Santiago, Chile|California, United States, United States|Dublin, Ireland, Ireland|Buenos Aires, Argentina
Introduction:
Neuropsychiatric symptoms, such as apathy, disinhibition, eating changes, delusions, hallucinations, agitation, depression, anxiety, and sleep disturbances, are common in Alzheimer's disease (AD) and frontotemporal dementia (FTD). Allostatic-interoception refers to the sensing and anticipation of cues arising from within the body and is underpinned by the allostatic-interoceptive network (AIN). It is currently unknown how structural and functional changes within the allostatic-interoceptive network relate to neuropsychiatric symptoms in neurodegenerative disorders.
Methods:
This international, multi-centre study included 9321 participants (2030 AD patients, 2664 FTD patients, 858 Mild Cognitive Impairment MCI) patients, and 3769 healthy controls) from ReDLat, ALLFTD, ADNI, ARWIBO, 4RTNI, NIFD, and Frontier Databases.
Neuropsychiatric symptoms were measured using the informant-based Neuropsychiatric Inventory (NPI). Higher scores represent more severe neuropsychiatric symptoms. Exploratory factor analysis was used to identify factors within the neuropsychiatric inventory across the cohort. The association of NPI factors with structural and functional connectivity within the AIN was evaluated, controlling for age, sex, education, country, and scanner.
Results:
We identified four distinct factors within the NPI across the cohort: 1) Apathy-Disinhibition-Eating-Aberrant motor behavior; 2) Delusions-Hallucinations; 3) Agitation-Irritability; 4) Depression-Elation-Sleep disturbances. In all neurodegenerative disease combined, greater severity across all NPI factors was associated with reduced structural integrity within the AIN, including the insula, anterior cingulate cortex, midcingulate cortex, orbitofrontal cortex, amygdala hippocampus, parahippocampus, and thalamus (pFWE < .001). Hypoconnectivity associated with NPI factors was also observed within the AIN network, including between the insula, anterior cingulate cortex, and mid cingulate cortex (pFDR <.001). This pattern across factors was also observed within behavioral variant frontotemporal dementia (bvFTD). In AD, however, greater severity in NPI factors was associated with circumscribed atrophy within the hippocampus. amygdala, and thalamus. Further, in contrast to bvFTD, hyperconnectivity associated with NPI factors 3 and 4 within the AIN, including anterior cingulate cortex, mid cingulate cortex, and insula.
Conclusions:
We provide evidence linking neuropsychiatric features commonly observed in neurodegeneration, and particularly bvFTD, to multimodal neural dysfunction within the allostatic-interoceptive network. This work suggests that altered AIN function may represent a neurobiological mechanism underlying observed clinical symptoms. This finding suggests that difficulties attending, regulating, and responding to the internal physiological condition of the body may lead to increased neuropsychiatric symptomatology in neurodegeneration, and may in part explain the clinical overlap with psychiatric illnesses. This work contributes to our theoretical understanding of allostatic-interoception dysregulation and supports synergistic models of brain health and disease.
Disorders of the Nervous System:
Neurodegenerative/ Late Life (eg. Parkinson’s, Alzheimer’s) 1
Emotion, Motivation and Social Neuroscience:
Social Neuroscience Other
Modeling and Analysis Methods:
fMRI Connectivity and Network Modeling
Neuroanatomy, Physiology, Metabolism and Neurotransmission:
Subcortical Structures
Novel Imaging Acquisition Methods:
Multi-Modal Imaging 2
Keywords:
Cognition
Degenerative Disease
FUNCTIONAL MRI
Psychiatric
STRUCTURAL MRI
Sub-Cortical
Thalamus
Other - Allostatic-Interoception
1|2Indicates the priority used for review
By submitting your proposal, you grant permission for the Organization for Human Brain Mapping (OHBM) to distribute your work in any format, including video, audio print and electronic text through OHBM OnDemand, social media channels, the OHBM website, or other electronic publications and media.
I accept
The Open Science Special Interest Group (OSSIG) is introducing a reproducibility challenge for OHBM 2025. This new initiative aims to enhance the reproducibility of scientific results and foster collaborations between labs. Teams will consist of a “source” party and a “reproducing” party, and will be evaluated on the success of their replication, the openness of the source work, and additional deliverables. Click here for more information.
Propose your OHBM abstract(s) as source work for future OHBM meetings by selecting one of the following options:
I am submitting this abstract as an original work to be reproduced. I am available to be the “source party” in an upcoming team and consent to have this work listed on the OSSIG website. I agree to be contacted by OSSIG regarding the challenge and may share data used in this abstract with another team.
Please indicate below if your study was a "resting state" or "task-activation” study.
Resting state
Healthy subjects only or patients (note that patient studies may also involve healthy subjects):
Patients
Was this research conducted in the United States?
No
Were any human subjects research approved by the relevant Institutional Review Board or ethics panel?
NOTE: Any human subjects studies without IRB approval will be automatically rejected.
Yes
Were any animal research approved by the relevant IACUC or other animal research panel?
NOTE: Any animal studies without IACUC approval will be automatically rejected.
Not applicable
Please indicate which methods were used in your research:
Functional MRI
Structural MRI
For human MRI, what field strength scanner do you use?
1.5T
3.0T
Which processing packages did you use for your study?
SPM
Free Surfer
Provide references using APA citation style.
Not applicable.
No