ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2015
The future of human cerebral cartography: a novel approach.
Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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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.
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.
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Who cites it
16 citing papers in PubMed.
- Local homeostasis preserves global neural dynamics compensating for structural loss during human lifespan aging.Communications biology · 2025Article
- MEA-seqX: High-Resolution Profiling of Large-Scale Electrophysiological and Transcriptional Network Dynamics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Evolution of Human Brain Atlases in Terms of Content, Applications, Functionality, and Availability.Neuroinformatics · 2021Review
- Cell Calcium Imaging as a Reliable Method to Study Neuron-Glial Circuits.Frontiers in neuroscience · 2020Review
- Medical Informatics Platform (MIP): A Pilot Study Across Clinical Italian Cohorts.Frontiers in neurology · 2020Article
- eBrain: a Three Dimensional Simulation Tool to Study Drug Delivery in the Brain.Scientific reports · 2019Article
- Exploring distinct default mode and semantic networks using a systematic ICA approach.Cortex; a journal devoted to the study of the nervous system and behavior · 2019Article
- A Brief History of Simulation Neuroscience.Frontiers in neuroinformatics · 2019Review
- Computational neuroscience and neuroinformatics: Recent progress and resources.Journal of biosciences · 2018Review
- Imaging-based parcellations of the human brain.Nature reviews. Neuroscience · 2018Review
- Lost in translation.F1000Research · 2018Article
- The Comparative Neurology of Neocortical Gyration and the Quest for Functional Specialization.Frontiers in systems neuroscience · 2017Article
- Classical Statistics and Statistical Learning in Imaging Neuroscience.Frontiers in neuroscience · 2017Review
- Connectivity-based parcellation: Critique and implications.Human brain mapping · 2015Review
- Introduction to the theme issue 'Cerebral cartography: a vision of its future'.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015Article
- Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cerebral cartography can be understood in a limited, static, neuroanatomical sense. Temporal information from electrical recordings contributes information on regional interactions adding a functional dimension. Selective tagging and imaging of molecules adds biochemical contributions. Cartographic detail can also be correlated with normal or abnormal psychological or behavioural data. Modern cerebral cartography is assimilating all these elements. Cartographers continue to collect ever more precise data in the hope that general principles of organization will emerge. However, even detailed cartographic data cannot generate knowledge without a multi-scale framework making it possible to relate individual observations and discoveries. We propose that, in the next quarter century, advances in cartography will result in progressively more accurate drafts of a data-led, multi-scale model of human brain structure and function. These blueprints will result from analysis of large volumes of neuroscientific and clinical data, by a process of reconstruction, modelling and simulation. This strategy will capitalize on remarkable recent developments in informatics and computer science and on the existence of much existing, addressable data and prior, though fragmented, knowledge. The models will instantiate principles that govern how the brain is organized at different levels and how different spatio-temporal scales relate to each other in an organ-centred context.
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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.