Investigation of structural connectivity in the whole brain and frontoparietal network in groups at risk of Alzheimer’s disease dementia

Abstract Background Brain connectivity patterns, measured with Magnetic Resonance Imaging (MRI), have been recently studied as a potential biomarker for Alzheimer’s disease dementia (AD). A ‘disconnected brain’ has been associated with greater cognitive impairment in pathological aging (Bennett & Madden, 2014), but it is unclear how this occurs in groups at risk of AD. Method Participants ( n = 227; aged 55+ years) from the Dementia Prevention Research Clinic, New Zealand, were classified as control (C; n = 35), subjective cognitive decline (SCD; n = 60), single‐domain amnestic mild cognitive impairment (aMCI; n = 54), multiple‐domain MCI (mMCI; n = 52), and AD ( n = 26). Longitudinal changes (over two years) were investigated in a subset (total n = 119). Using diffusion MRI, we measured the white matter connections between brain regions with fiber bundle capacity (FBC), a proxy of white matter connection strength (Smith et al., 2022). Result Cross‐sectionally, a significant linear trend of lower FBC was found across groups (C > SCD > aMCI > mMCI > AD; p < .05), mostly affecting interhemispheric connections (see Figure 1). Over time, FBC significantly decreased in only one connection between the left precentral and left parahippocampal region, but several intrahemispheric connections FBC connections increased over time (see Figure 2). A significant interaction ( F (4, 114) = 10.60, p < .001, η 2 = 0.27) showed that the AD group had significantly decreased structural connectivity than all other groups over time (see Figure 3). Conclusion We explored different threshold/processing strategies to ensure robust results. The preliminary results show the following: widespread disruption in structural connectivity was found cross‐sectionally in groups at higher risk of AD. Lower interhemispheric structural connectivity across groups may reflect degenerated commissural white matter tracts (e.g., corpus callosum) found in MCI and AD. The unexpected increasing intrahemispheric structural connectivity over time may suggest some structural reorganization, possibly in response to disrupted interhemispheric connections, or inflammation of the tracts. Alternatively, a general degeneration of commissural tracts may also explain an apparent increase of associative connectivity. Bennett & Madden (2014). Neuroscience . https://doi.org/10.1016/j.neuroscience.2013.11.026 Smith et al. (2022). Aperture Neuro . https://doi.org/10.52294/apertureneuro.2022.2.neod9565

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.094761
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

Investigation of structural connectivity in the whole brain and frontoparietal network in groups at risk of Alzheimer’s disease dementia

Tracy R. Melzer, Lenore Tahara-Eckl, Ian J. Kirk, Tim Anderson et al.
Alzheimer s & Dementia
Functional Brain Connectivity Studies
article

Investigation of structural connectivity in the whole brain and frontoparietal network in groups at risk of Alzheimer’s disease dementia

Tracy R. Melzer, Lenore Tahara-Eckl, Ian J. Kirk, Tim Anderson, Flavio Dell’Acqua, Catherine Morgan, Lynette J. Tippett, John C. Dalrymple‐Alford, Reece P. Roberts, Nicholas J. Cutfield
article en

Abstract

Abstract Background Brain connectivity patterns, measured with Magnetic Resonance Imaging (MRI), have been recently studied as a potential biomarker for Alzheimer’s disease dementia (AD). A ‘disconnected brain’ has been associated with greater cognitive impairment in pathological aging (Bennett & Madden, 2014), but it is unclear how this occurs in groups at risk of AD. Method Participants ( n = 227; aged 55+ years) from the Dementia Prevention Research Clinic, New Zealand, were classified as control (C; n = 35), subjective cognitive decline (SCD; n = 60), single‐domain amnestic mild cognitive impairment (aMCI; n = 54), multiple‐domain MCI (mMCI; n = 52), and AD ( n = 26). Longitudinal changes (over two years) were investigated in a subset (total n = 119). Using diffusion MRI, we measured the white matter connections between brain regions with fiber bundle capacity (FBC), a proxy of white matter connection strength (Smith et al., 2022). Result Cross‐sectionally, a significant linear trend of lower FBC was found across groups (C > SCD > aMCI > mMCI > AD; p < .05), mostly affecting interhemispheric connections (see Figure 1). Over time, FBC significantly decreased in only one connection between the left precentral and left parahippocampal region, but several intrahemispheric connections FBC connections increased over time (see Figure 2). A significant interaction ( F (4, 114) = 10.60, p < .001, η 2 = 0.27) showed that the AD group had significantly decreased structural connectivity than all other groups over time (see Figure 3). Conclusion We explored different threshold/processing strategies to ensure robust results. The preliminary results show the following: widespread disruption in structural connectivity was found cross‐sectionally in groups at higher risk of AD. Lower interhemispheric structural connectivity across groups may reflect degenerated commissural white matter tracts (e.g., corpus callosum) found in MCI and AD. The unexpected increasing intrahemispheric structural connectivity over time may suggest some structural reorganization, possibly in response to disrupted interhemispheric connections, or inflammation of the tracts. Alternatively, a general degeneration of commissural tracts may also explain an apparent increase of associative connectivity. Bennett & Madden (2014). Neuroscience . https://doi.org/10.1016/j.neuroscience.2013.11.026 Smith et al. (2022). Aperture Neuro . https://doi.org/10.52294/apertureneuro.2022.2.neod9565

Alzheimer s & DementiaVol. 20(S8)
University of Auckland (NZ), King's College London (GB), University of Canterbury (NZ), New Zealand Brain Research Institute (NZ), University of Otago (NZ)
Openalex Percentile: Top 74%
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.