Tracking longitudinal language network reorganisation using functional MRI connectivity fingerprints
Publication year
2021Number of pages
10 p.
Source
Neuroimage. Clinical, 30, (2021), article 102689ISSN
Publication type
Article / Letter to editor
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Organization
SW OZ DCC SMN
Journal title
Neuroimage. Clinical
Volume
vol. 30
Languages used
English (eng)
Subject
Action, intention, and motor controlAbstract
Large individual differences in how brain networks respond to treatment hinder efforts to personalise treatment in neurological conditions. We used a brain network fingerprinting approach to longitudinally track re-organisation of complementary phonological and semantic language networks in 19 patients before and after brain-tumour surgery. Patient task fingerprints were individually compared to normal networks established in 17 healthy controls. Additionally, pre- and post-operative patient fingerprints were directly compared to assess longitudinal network adaptations. We found that task networks remained stable over time in healthy controls, whereas treatment induced reorganisation in 47.4% of patient fluency networks and 15.8% of semantic networks. How networks adapted after surgery was highly unique; a subset of patients (10%) showed 'normalisation' while others (21%) developed newly atypical networks after treatment. The strongest predictor of adaptation of the fluency network was the presence of clinically reported language symptoms. Our findings indicate a tight coupling between processes disrupting performance and neural network adaptation, the patterns of which appear to be both task- and individually-unique. We propose that connectivity fingerprinting offers potential as a clinical marker to track adaptation of specific functional networks across treatment interventions over time.
This item appears in the following Collection(s)
- Academic publications [245198]
- Electronic publications [132514]
- Faculty of Social Sciences [30339]
- Open Access publications [106110]
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