Functional connectivity differences in the default mode and frontoparietal networks in older adults with Down syndrome are related to obstructive sleep apnea

Abstract Background There is disrupted functional connectivity (FC) of the default mode network (DMN) and frontoparietal network (FPN) in adults with obstructive sleep apnea (OSA). DMN FC is also particularly sensitive to disruption in Alzheimer's disease (AD). However, there is limited research investigating if OSA affects FC in Down syndrome (DS), despite the prevalence of both OSA and AD pathology within this population. We examined if DMN and FPN FC are also disrupted in older adults with DS and OSA, and whether this is dependent on concurrent cognitive impairment due to AD. Method Seventy‐five participants from the Alzheimer Biomarkers Consortium – Down syndrome (ABC‐DS) study (age 49.93+6.6) underwent resting‐state functional MRI. For our seed‐based connectivity approach, data were harmonized and processed using the CONN Toolbox with the default MNI preprocessing pipeline. FC strength was calculated (1) between regions‐of‐interest (ROIs) within each network (“within‐network FC”) and (2) between ROIs in each network and all other ROIs outside of the network (“between‐network FC”). Group differences in FC were assessed based on self‐reported OSA and consensus diagnosis of cognitive status – cognitively stable (CS) or cognitively impaired (CI; mild cognitive impairment or dementia). Result There was a significant interaction between OSA and diagnosis for within‐ and between‐DMN FC ( p ‐values<0.05). The CS‐OSA group had higher FC than the CI‐OSA group. There was also a trend showing higher FC in CS‐OSA compared to CS‐nonOSA. For within‐ and between‐FPN FC, the same groups differences were observed, though the interaction was trending ( p ‐values<0.10). FC did not differ between CS and CI individuals without OSA, nor between CI groups with and without OSA. Conclusion We observed higher within‐ and between‐DMN FC in the CS‐OSA compared to the CI‐OSA group; however, this difference was not observed between the CS‐nonOSA and CI‐nonOSA groups. This result suggests a unique FC signature for individuals with DS and OSA prior to AD‐related cognitive impairment. These findings suggest that there's a unique FC signature for individuals with DS and OSA such that FC is initially elevated prior to AD‐related cognitive impairment then is reduced following AD symptom onset.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70856_105803
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Functional connectivity differences in the default mode and frontoparietal networks in older adults with Down syndrome are related to obstructive sleep apnea

Mithra Sathishkumar, Wayne Silverman, Denise Head, Liv McMillan et al.
Alzheimer s & Dementia
Functional Brain Connectivity Studies
article

Functional connectivity differences in the default mode and frontoparietal networks in older adults with Down syndrome are related to obstructive sleep apnea

Mithra Sathishkumar, Wayne Silverman, Denise Head, Liv McMillan, James Adams, Natalie DiProspero, Ira T. Lott, Nicole Schupf, Mark Mapstone, Adam Brickman, Lisa M. Taylor, H. Diana Rosas, Michael A. Yassa, Eric Doran
article en

Abstract

Abstract Background There is disrupted functional connectivity (FC) of the default mode network (DMN) and frontoparietal network (FPN) in adults with obstructive sleep apnea (OSA). DMN FC is also particularly sensitive to disruption in Alzheimer's disease (AD). However, there is limited research investigating if OSA affects FC in Down syndrome (DS), despite the prevalence of both OSA and AD pathology within this population. We examined if DMN and FPN FC are also disrupted in older adults with DS and OSA, and whether this is dependent on concurrent cognitive impairment due to AD. Method Seventy‐five participants from the Alzheimer Biomarkers Consortium – Down syndrome (ABC‐DS) study (age 49.93+6.6) underwent resting‐state functional MRI. For our seed‐based connectivity approach, data were harmonized and processed using the CONN Toolbox with the default MNI preprocessing pipeline. FC strength was calculated (1) between regions‐of‐interest (ROIs) within each network (“within‐network FC”) and (2) between ROIs in each network and all other ROIs outside of the network (“between‐network FC”). Group differences in FC were assessed based on self‐reported OSA and consensus diagnosis of cognitive status – cognitively stable (CS) or cognitively impaired (CI; mild cognitive impairment or dementia). Result There was a significant interaction between OSA and diagnosis for within‐ and between‐DMN FC ( p ‐values<0.05). The CS‐OSA group had higher FC than the CI‐OSA group. There was also a trend showing higher FC in CS‐OSA compared to CS‐nonOSA. For within‐ and between‐FPN FC, the same groups differences were observed, though the interaction was trending ( p ‐values<0.10). FC did not differ between CS and CI individuals without OSA, nor between CI groups with and without OSA. Conclusion We observed higher within‐ and between‐DMN FC in the CS‐OSA compared to the CI‐OSA group; however, this difference was not observed between the CS‐nonOSA and CI‐nonOSA groups. This result suggests a unique FC signature for individuals with DS and OSA prior to AD‐related cognitive impairment. These findings suggest that there's a unique FC signature for individuals with DS and OSA such that FC is initially elevated prior to AD‐related cognitive impairment then is reduced following AD symptom onset.

Alzheimer s & DementiaVol. 21(S2)
University of California, Irvine (US), Massachusetts General Hospital (US), Columbia University (US)
Openalex Percentile: Top 30%
Functional Brain Connectivity Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.