Cited by 232Functional Brain Connectivity StudiesDementia and Cognitive Impairment ResearchAdvanced MRI Techniques and Applications

Resting-state connectivity in neurodegenerative disorders: Is there potential for an imaging biomarker?

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Hohenfeld, Christian, Werner, Cornelius J., Reetz, Kathrin·2018·NeuroImage: Clinical

Abstract

Biomarkers in whichever modality are tremendously important in diagnosing of disease, tracking disease progression and clinical trials. This applies in particular for disorders with a long disease course including pre-symptomatic stages, in which only subtle signs of clinical progression can be observed. Magnetic resonance imaging (MRI) biomarkers hold particular promise due to their relative ease of use, cost-effectiveness and non-invasivity. Studies measuring resting-state functional MR connectivity have become increasingly common during recent years and are well established in neuroscience and related fields. Its increasing application does of course also include clinical settings and therein neurodegenerative diseases. In the present review, we critically summarise the state of the literature on resting-state functional connectivity as measured with functional MRI in neurodegenerative disorders. In addition to an overview of the results, we briefly outline the methods applied to the concept of resting-state functional connectivity. While there are many different neurodegenerative disorders cumulatively affecting a substantial number of patients, for most of them studies on resting-state fMRI are lacking. Plentiful amounts of papers are available for Alzheimer's disease (AD) and Parkinson's disease (PD), but only few works being available for the less common neurodegenerative diseases. This allows some conclusions on the potential of resting-state fMRI acting as a biomarker for the aforementioned two diseases, but only tentative statements for the others. For AD, the literature contains a relatively strong consensus regarding an impairment of the connectivity of the default mode network compared to healthy individuals. However, for AD there is no considerable documentation on how that alteration develops longitudinally with the progression of the disease. For PD, the available research points towards alterations of connectivity mainly in limbic and motor related regions and networks, but drawing conclusions for PD has to be done with caution due to a relative heterogeneity of the disease. For rare neurodegenerative diseases, no clear conclusions can be drawn due to the few published results. Nevertheless, summarising available data points towards characteristic connectivity alterations in Huntington's disease, frontotemporal dementia, dementia with Lewy bodies, multiple systems atrophy and the spinocerebellar ataxias. Overall at this point in time, the data on AD are most promising towards the eventual use of resting-state fMRI as an imaging biomarker, although there remain issues such as reproducibility of results and a lack of data demonstrating longitudinal changes. Improved methods providing more precise classifications as well as resting-state network changes that are sensitive to disease progression or therapeutic intervention are highly desirable, before routine clinical use could eventually become a reality.

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Crossref · 10.1016/j.nicl.2018.03.013

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  • Previous research has demonstrated the usefulness of functional and structural connectivity in identifying neurodegenerative disorders and FTD variants.

    “Previous research has demonstrated its usefulness in identifying neurodegenerative disorders (Hafkemeijer et al., 2017; Hohenfeld et al., 2018; Jalilianhasanpour et al., 2019) and FTD variants (Chen et al., 2020; Reyes et al., 2018; Whitwell, 2019).”

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References 327 · Cited by 232

Authors
Hohenfeld, C., Werner, C. J., & Reetz, K.
Affiliations
  • Forschungszentrum Jülich (DE)
  • RWTH Aachen University (DE)
Corresponding author
Reetz, Kathrin
Venue
NeuroImage: Clinical
Publisher
Elsevier BV
Published
2018
Volume
18
Pages
849-870
ISSN
2213-1582 (ISSN-L)
OpenAlex
W2789607242
Cited by
232
References
327
Citations by year
2026: 11 · 2025: 25 · 2024: 23 · 2023: 28 · 2022: 38 · 2021: 46 · 2020: 26 · 2019: 28 · 2018: 5
FWCI
3.50
Type
journal article
Language
en
Open access
Locations
  • NeuroImage Clinical (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • RWTH Publications (RWTH Aachen) (submittedVersion, other-oa)
  • RWTH Publications (RWTH Aachen)
Funders
Bundesministerium für Bildung und Forschung (01GQ1402)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Keywords
resting-state functional connectivity, neurodegenerative diseases, imaging biomarkers, Alzheimer's disease, Parkinson's disease, default mode network, Huntington's disease, frontotemporal dementia, dementia with Lewy bodies, multiple system atrophy, spinocerebellar ataxia, disease progression, longitudinal change
MeSH terms
Brain Mapping, Humans, Magnetic Resonance Imaging, Neural Pathways, Rest, Biomarkers, Neurodegenerative Diseases

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