ReviewNeuroImage2018
Mapping human brain lesions and their functional consequences.
Review in NeuroImage, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
88 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A depression network caused by brain tumours.Brain structure & function · 2022Pooled it
- Activation network mapping for integration of heterogeneous fMRI findings.Nature human behaviour · 2022Pooled it
- Sexual Dysregulation After Traumatic Brain Injury and Stroke: A Critical Narrative Review of Neurobiology, Clinical Phenotypes, and Management.Brain sciences · 2026Review
- Methodological Choices Strongly Modulate the Sensitivity and Specificity of Lesion-Symptom Mapping Analyses.Human brain mapping · 2026Article
- Article
- A deep representation learning model to predict response to vagus nerve stimulation.Nature communications · 2026Article
- Network Localization of Fatigue in Multiple Sclerosis.Annals of clinical and translational neurology · 2026Article
- Neuroradiological Insights into Visual Mental Imagery: Structural and Functional Imaging of Ventral and Dorsal Streams.Brain sciences · 2026Review
- Cortical hierarchy and aphasia severity: the sensorimotor-association gradient modulates lesion effects within language-specific networks.Communications biology · 2026Article
- Extending voxel-based lesion mapping to neurosurgical oncology: applications in intracranial meningiomas.Frontiers in oncology · 2026Article
- Ventromedial prefrontal cortex lesions disrupt learning to reward others.Brain : a journal of neurology · 2025Article
- Mapping Lesion-Related Human Aggression to a Common Brain Network.Biological psychiatry · 2025Article
- The Journey of the Default Mode Network: Development, Function, and Impact on Mental Health.Biology · 2025Review
- Visual feature processing in a large stroke cohort: evidence against modular organization.Brain : a journal of neurology · 2025Article
- Voxel-Based Lesion Symptom Mapping to Predict Poststroke Epilepsy After Mechanical Thrombectomy.European journal of neurology · 2025Article
- What I think she thinks about my paralysed body: Social inferences about disability-related content in anosognosia for hemiplegia.Journal of neuropsychology · 2025Article
- Time perception in cerebellar and basal ganglia stroke patients.Scientific reports · 2025Article
- Optic ataxia in patients with thalamic lesions.Brain communications · 2025Article
- Network-based statistics distinguish anomic and Broca's aphasia.Brain structure & function · 2024Article
- Heterogenous brain activations across individuals localize to a common network.Communications biology · 2024Article
28 more citing papers are in PubMed but not listed here.
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.
Funding
Abstract
Neuroscience has a long history of inferring brain function by examining the relationship between brain injury and subsequent behavioral impairments. The primary advantage of this method over correlative methods is that it can tell us if a certain brain region is necessary for a given cognitive function. In addition, lesion-based analyses provide unique insights into clinical deficits. In the last decade, statistical voxel-based lesion behavior mapping (VLBM) emerged as a powerful method for understanding the architecture of the human brain. This review illustrates how VLBM improves our knowledge of functional brain architecture, as well as how it is inherently limited by its mass-univariate approach. A wide array of recently developed methods appear to supplement traditional VLBM. This paper provides an overview of these new methods, including the use of specialized imaging modalities, the combination of structural imaging with normative connectome data, as well as multivariate analyses of structural imaging data. We see these new methods as complementing rather than replacing traditional VLBM, providing synergistic tools to answer related questions. Finally, we discuss the potential for these methods to become established in cognitive neuroscience and in clinical applications.
Indexed as
Identifiers
What OpenQuestion holds
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.