Connectome‐based predictions of cognition and sex differences in midlife individuals at risk for Alzheimer's Disease

Abstract Background Females generally show better memory performance, particularly in episodic memory, than males across the lifespan [1‐3]. However, two‐thirds of Alzheimer's disease (AD) cases occur in females, who experience more rapid cognitive decline and brain atrophy in the presence of AD‐related neuropathology [4]. The functional brain architecture underlying episodic and relational memory in middle‐aged individuals—and whether this differs by sex—remains poorly understood. This study aimed to identify the functional brain architecture associated with episodic and relational memory using a data‐driven approach, focusing on sex differences. Method Resting‐state functional MRI data and neuropsychological assessments were obtained from 488 cognitively healthy individuals (316 F/172 M), aged 40‐59 years, from the PREVENT‐Dementia study. Connectome‐based predictive modeling (CPM) was used to identify functional brain networks related to episodic and relational memory across the entire cohort, within female‐only and male‐only subgroups. Model generalizability was evaluated using data from the Cambridge Center for Ageing and Neuroscience (Cam‐CAN) dataset. Result CPM identified both positive and negative networks significantly associated with episodic and relational memory in the entire cohort (positive: r = 0.16, p < 0.001; negative: r = 0.10, p = 0.017; Figure 1A). These networks were particularly characterized by within‐network and between‐network connections involving default mode and cingulo‐opercular networks in the positive network (Figure 2A). Sex‐stratified analyses revealed distinct model performance: both positive and negative networks predicted episodic and relational memory in the female‐only group (positive: r = 0.18, p ‐corrected = 0.002; negative: r = 0.11, p ‐corrected = 0.048; Figure 1B), whereas only the negative network predicted episodic and relational memory in the male‐only group (positive: r = 0.01, p ‐corrected = 0.836; negative: r = 0.16, p ‐corrected = 0.048; Figure 1C) after Bonferroni correction. These results didn’t generalize to the external Cam‐CAN dataset. Conclusion We identified brain networks underlying episodic and relational memory in middle‐aged individuals, revealing sex‐specific differences. These findings suggest potential sex‐specific mechanisms in memory‐related brain networks during midlife, which may contribute to differing trajectories of cognitive decline in aging and Alzheimer's disease. However, the lack of generalizability to an external dataset underscores the need for further validation in diverse populations.

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Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70856_106501
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
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article

Connectome‐based predictions of cognition and sex differences in midlife individuals at risk for Alzheimer's Disease

Ivan Koychev, O'Brien John Tiernan, Graciela Muñiz‐Terrera, Rory Boyle et al.
Alzheimer s & Dementia
Functional Brain Connectivity Studies
article

Connectome‐based predictions of cognition and sex differences in midlife individuals at risk for Alzheimer's Disease

Ivan Koychev, O'Brien John Tiernan, Graciela Muñiz‐Terrera, Rory Boyle, Lorina Naçi, Bolin Cao, Qing Qi, Malhotra Paresh, Brian Lawlor, Craig Ritchie
article en

Abstract

Abstract Background Females generally show better memory performance, particularly in episodic memory, than males across the lifespan [1‐3]. However, two‐thirds of Alzheimer's disease (AD) cases occur in females, who experience more rapid cognitive decline and brain atrophy in the presence of AD‐related neuropathology [4]. The functional brain architecture underlying episodic and relational memory in middle‐aged individuals—and whether this differs by sex—remains poorly understood. This study aimed to identify the functional brain architecture associated with episodic and relational memory using a data‐driven approach, focusing on sex differences. Method Resting‐state functional MRI data and neuropsychological assessments were obtained from 488 cognitively healthy individuals (316 F/172 M), aged 40‐59 years, from the PREVENT‐Dementia study. Connectome‐based predictive modeling (CPM) was used to identify functional brain networks related to episodic and relational memory across the entire cohort, within female‐only and male‐only subgroups. Model generalizability was evaluated using data from the Cambridge Center for Ageing and Neuroscience (Cam‐CAN) dataset. Result CPM identified both positive and negative networks significantly associated with episodic and relational memory in the entire cohort (positive: r = 0.16, p < 0.001; negative: r = 0.10, p = 0.017; Figure 1A). These networks were particularly characterized by within‐network and between‐network connections involving default mode and cingulo‐opercular networks in the positive network (Figure 2A). Sex‐stratified analyses revealed distinct model performance: both positive and negative networks predicted episodic and relational memory in the female‐only group (positive: r = 0.18, p ‐corrected = 0.002; negative: r = 0.11, p ‐corrected = 0.048; Figure 1B), whereas only the negative network predicted episodic and relational memory in the male‐only group (positive: r = 0.01, p ‐corrected = 0.836; negative: r = 0.16, p ‐corrected = 0.048; Figure 1C) after Bonferroni correction. These results didn’t generalize to the external Cam‐CAN dataset. Conclusion We identified brain networks underlying episodic and relational memory in middle‐aged individuals, revealing sex‐specific differences. These findings suggest potential sex‐specific mechanisms in memory‐related brain networks during midlife, which may contribute to differing trajectories of cognitive decline in aging and Alzheimer's disease. However, the lack of generalizability to an external dataset underscores the need for further validation in diverse populations.

Alzheimer s & DementiaVol. 21(S2)
Trinity College Dublin (IE), University of Cambridge (GB), University of Oxford (GB), Ohio University (US), UK Dementia Research Institute (GB), Imperial College London (GB), University of Pennsylvania (US), University of Edinburgh (GB)
Gender equality
Openalex Percentile: Top 30%
Functional Brain Connectivity Studies
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