Characterising neural plasticity at the single patient level using connectivity fingerprints
| Autor: | Voets, N, Parker Jones, O, Mars, R, Adcock, J, Stacey, R, Apostolopoulos, V, Plaha, P |
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| Rok vydání: | 2019 |
| Předmět: |
Adult
Male Brain Mapping Neuronal Plasticity Plasticity Action intention and motor control Individuality Brain Regular Article Middle Aged lcsh:Computer applications to medicine. Medical informatics Magnetic Resonance Imaging lcsh:RC346-429 Functional connectivity Cross-Sectional Studies lcsh:R858-859.7 Humans Female Prospective Studies Nerve Net Tumour lcsh:Neurology. Diseases of the nervous system Aged Language MRI |
| Zdroj: | NeuroImage : Clinical NeuroImage: Clinical, Vol 24, Iss, Pp-(2019) Neuroimage. Clinical, 24 |
| ISSN: | 2213-1582 |
| Popis: | The occurrence of wide-scale neuroplasticity in the injured human brain raises hopes for biomarkers to guide personalised treatment. At the individual level, functional reorganisation has proven challenging to quantify using current techniques that are optimised for population-based analyses. In this cross-sectional study, we acquired functional MRI scans in 44 patients (22 men, 22 women, mean age: 39.4 ± 14 years) with a language-dominant hemisphere brain tumour prior to surgery and 23 healthy volunteers (11 men, 12 women, mean age: 36.3 ± 10.9 years) during performance of a verbal fluency task. We applied a recently developed approach to characterise the normal range of functional connectivity patterns during task performance in healthy controls. Next, we statistically quantified differences from the normal in individual patients and evaluated factors driving these differences. We show that the functional connectivity of brain regions involved in language fluency identifies “fingerprints” of brain plasticity in individual patients, not detected using standard task-evoked analyses. In contrast to healthy controls, patients with a tumour in their language dominant hemisphere showed highly variable fingerprints that uniquely distinguished individuals. Atypical fingerprints were influenced by tumour grade and tumour location relative to the typical fluency-activated network. Our findings show how alterations in brain networks can be visualised and statistically quantified from connectivity fingerprints in individual brains. We propose that connectivity fingerprints offer a statistical metric of individually-specific network organisation through which behaviourally-relevant adaptations could be formally quantified and monitored across individuals, treatments and time. Highlights • Personalised treatment awaits individualised measures of brain adaptation. • Connectivity patterns from FMRI offer unique “fingerprints” of brain networks. • Individual brain tumours disrupt the language fluency network in unique ways. • By fingerprint matching, networks can be tested and visualised in single patients. |
| Databáze: | OpenAIRE |
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