ArticleCurrent opinion in behavioral sciences2021
Challenges and opportunities of mesoscopic brain mapping with fMRI.
Article in Current opinion in behavioral sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Bridging the gap with invasive imaging: promises and challenges of a new generation of ultrahigh resolution fMRI.bioRxiv : the preprint server for biology · 2026Article
- The potential of laminar functional MRI in refining the understanding of epilepsy in humans.Brain : a journal of neurology · 2025Review
- Image Sensor-Driven 3D Modeling of Complex Biological Surfaces for Preoperative Planning of Hemangioma Treatment.Sensors (Basel, Switzerland) · 2025Article
- Towards whole brain mapping of the hemodynamic response function.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2025Article
- In the brain of the beholder: bi-stable motion reveals mesoscopic-scale feedback modulation in V1.Brain structure & function · 2025Article
- The laminar pattern of proprioceptive activation in human primary motor cortex.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Layer-specific BOLD effects in gradient and spin-echo acquisitions in somatosensory cortex.Magnetic resonance in medicine · 2025Article
- Multilayer network analysis across cortical depths in 7-T resting-state fMRI.Network neuroscience (Cambridge, Mass.) · 2025Article
- Multilayer Network Analysis across Cortical Depths in Resting-State 7T fMRI.bioRxiv : the preprint server for biology · 2024Article
- An Agent-Based Model to Reproduce the Boolean Logic Behaviour of Neuronal Self-Organised Communities through Pulse Delay Modulation and Generation of Logic Gates.Biomimetics (Basel, Switzerland) · 2024Article
- Non-Cartesian 3D-SPARKLING vs Cartesian 3D-EPI encoding schemes for functional Magnetic Resonance Imaging at 7 Tesla.PloS one · 2024Article
- Acquisition and processing methods of whole-brain layer-fMRI VASO and BOLD: The Kenshu dataset.Aperture neuro · 2023Article
- Article
- Layer-specific activation in human primary somatosensory cortex during tactile temporal prediction error processing.NeuroImage · 2022Article
- Surgery of Motor Eloquent Glioblastoma Guided by TMS-Informed Tractography: Driving Resection Completeness Towards Prolonged Survival.Frontiers in oncology · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Layer fMRI, requiring 7T scanners, sophisticated pulse sequences, and advanced post processing methods, has emerged and matured as a field in the past decade. In the past two years, the rate of layer fMRI papers published has grown sharply as the noninvasive delineation of mesoscopic scale functional organization promises to uncover new insight into human brain processing. Understanding laminar activity and connectivity throughout the brain will take fMRI beyond being able to simply identify where and when activation is taking place as delineating laminar location will provide detailed directional feedforward and feedback activity which will add to the sophistication of circuit and network models, thus providing a bridge between invasive measures and those typically carried out on humans. This review outlines the methods used to achieve layer fMRI as well as the challenges. It emphasizes the value and necessity of deep imaging of individuals rather than relying on pooled multi-subject databases to boost sensitivity. It highlights recent studies that have explored layer fMRI in cognitive tasks as well as resting state connectivity studies that have revealed cortical hierarchy. Finally, it concludes with a perspective on what the field promises, the challenges that lay ahead, and the direction that the field may evolve.
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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.