PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 18, 2026Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring0 citationsOpen Access

Plasma biomarker‐informed brain topology for cognitive resilience: applications in non‐pharmacological interventions concerning cognitive aging

View Full Paper
MAMeishan AiSZSa ZhouDLDanni Li

Key Points

  • The study aims to explore how plasma biomarkers influence brain topology and cognitive resilience during non-pharmacological interventions (NPIs).
  • Identified brain topology components associated with five plasma biomarkers from a discovery sample.
  • Evaluated and validated the interaction between brain topology components and neurodegeneration in two additional samples.
  • Developed a plasma biomarker-informed brain topology index for assessing cognitive resilience.
  • A specific brain topology component, linked to plasma biomarkers, enhances neuroprotection.
  • This component can predict cognitive improvements following two different NPIs based on neurodegeneration levels.

Abstract

Abstract INTRODUCTION In the context of non‐pharmacological interventions (NPIs), cognitive resilience refers to the capacity to enhance cognition from NPIs in the presence of neurodegeneration, and it is closely linked to brain network topological characteristics. This study aims to examine the roles of plasma biomarkers and brain topology in NPI‐related cognitive resilience by developing a plasma biomarker‐informed brain topology for cognitive resilience (PBIT‐CR) index. METHODS We first identified latent brain topology components from brain topological features by associating them with five plasma biomarkers in a predefined discovery sample and then evaluated and validated the interaction between these latent components and baseline neurodegeneration in two additional samples. RESULTS One brain topology component informed by plasma biomarkers, which indicates greater neuroprotection, interacted with baseline neurodegeneration to predict cognitive enhancement following two distinct NPIs. DISCUSSION Baseline brain topological characteristics informed by plasma information could provide insights for identifying individuals who may benefit from NPIs.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Ai et al. (2026) studied this question.

synapsesocial.com/papers/69e3201440886becb653f27dhttps://doi.org/10.1002/dad2.70330
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Cognitive and neural plasticity in old age: A systematic review of evidence from executive functions cognitive training2019 · 189 citations
  2. 2Benefits of exercise training on cerebrovascular and cognitive function in ageing2020 · 195 citations
  3. 3Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI2017 · 3,938 citations
  4. 4NIH EXAMINER: Conceptualization and Development of an Executive Function Battery2013 · 272 citations
  5. 5Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python2011 · 2,516 citations