ReviewBrain structure & function2022
Indirect structural disconnection-symptom mapping.
Review in Brain structure & function, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
20 citing papers in PubMed, 38 citations in OpenAlex.
- Utilizing multivariate pattern analysis to uncover the neurobiological underpinnings of communication disorders in children with bilateral spastic cerebral palsy: insights from morphological and structural connectivity changes.Quantitative imaging in medicine and surgery · 2026Article
- The contribution of cutaneous thermal signals to bodily self-awareness.Nature communications · 2025Article
- Rethinking neuropsychological test validity in dementia assessment: a critical review in the age of neuroimaging and digital markers.Frontiers in human neuroscience · 2025Review
- Proprioception as a sensory root for body and motor awareness.Brain communications · 2025Article
- Connectomic stroke lesion measures provide no benefit over basic spatial lesion features in the prognosis of global stroke outcome measures.Brain communications · 2025Article
- The challenge of long-term stroke outcome prediction and how statistical correlates do not imply predictive value.Brain communications · 2025Article
- The neuroanatomy of Broca's aphasia.Frontiers in language sciences · 2025Article
- Post-stroke sensory hypersensitivity: insights from lesion-symptom and disconnection mapping.Brain communications · 2025Article
- Structural Disconnections Caused by White Matter Hyperintensities in Post-Stroke Spatial Neglect.Human brain mapping · 2024Article
- Frontoparietal Structural Network Disconnections Correlate With Outcome After a Severe Stroke.Human brain mapping · 2024Article
- The Role of Anatomic Connectivity in Inhibitory Control Revealed by Combining Connectome-based Lesion-symptom Mapping with Event-related Potentials.Brain topography · 2024Article
- Stable multivariate lesion symptom mapping.Aperture neuro · 2024Article
- Mapping sentence comprehension and syntactic complexity: evidence from 131 stroke survivors.Brain communications · 2024Article
- Data-driven biomarkers better associate with stroke motor outcomes than theory-based biomarkers.Brain communications · 2024Article
- The need for hemispheric separation in pairwise structural disconnection studies.Human brain mapping · 2023Article
- Data-driven biomarkers outperform theory-based biomarkers in predicting stroke motor outcomes.bioRxiv : the preprint server for biology · 2023Article
- Regional, circuit and network heterogeneity of brain abnormalities in psychiatric disorders.Nature neuroscience · 2023Article
- Longitudinal prediction of motor dysfunction after stroke: a disconnectome study.Brain structure & function · 2022Article
- Brain disconnections refine the relationship between brain structure and function.Brain structure & function · 2022Article
- Neuroimaging of acute myocardial injury in stroke: insights into brain lesion locations and network disconnections.Frontiers in neurologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In vivo tracking of white matter fibres catalysed a modern perspective on the pivotal role of brain connectome disruption in neuropsychological deficits. However, the examination of white matter integrity in neurological patients by diffusion-weighted magnetic resonance imaging bears conceptual limitations and is not widely applicable, as it requires imaging-compatible patients and resources beyond the capabilities of many researchers. The indirect estimation of structural disconnection offers an elegant and economical alternative. For this approach, a patient's structural lesion information and normative connectome data are combined to estimate different measures of lesion-induced structural disconnection. Using one of several toolboxes, this method is relatively easy to implement and is even available to scientists without expertise in fibre tracking analyses. Nevertheless, the anatomo-behavioural statistical mapping of structural brain disconnection requires analysis steps that are not covered by these toolboxes. In this paper, we first review the current state of indirect lesion disconnection estimation, the different existing measures, and the available software. Second, we aim to fill the remaining methodological gap in statistical disconnection-symptom mapping by providing an overview and guide to disconnection data and the statistical mapping of their relationship to behavioural measurements using either univariate or multivariate statistical modelling. To assist in the practical implementation of statistical analyses, we have included software tutorials and analysis scripts.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.