Cited by 300Functional Brain Connectivity StudiesEEG and Brain-Computer InterfacesNeural dynamics and brain function

Electrophysiological Imaging of Brain Activity and Connectivity—Challenges and Opportunities

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Bin He, Lin Yang, Wilke, C, Han Yuan·2011·IEEE Transactions on Biomedical Engineering

Abstract

Unlocking the dynamic inner workings of the brain continues to remain a grand challenge of the 21st century. To this end, functional neuroimaging modalities represent an outstanding approach to better understand the mechanisms of both normal and abnormal brain functions. The ability to image brain function with ever increasing spatial and temporal resolution has made a significant leap over the past several decades. Further delineation of functional networks could lead to improved understanding of brain function in both normal and diseased states. This paper reviews recent advancements and current challenges in dynamic functional neuroimaging techniques, including electrophysiological source imaging, multimodal neuroimaging integrating fMRI with EEG/MEG, and functional connectivity imaging.

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Crossref · 10.1109/tbme.2011.2139210

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  • Electrophysiological source imaging can help to understand and disentangle functional segregation and integration processes.

    “ESI can help to understand and disentangle these processes (6).”
  • Electrophysiological source imaging allows mapping functional and effective connectivity in source space, a notion of the electrophysiological connectome (eConnectome).

    “ESI allows to map functional/effective connectivity in source space – a notion of the electrophysiological connectome (eConnectome) (6, 97).”

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  1. [2]Berger H Ueber das elektroenkephalogramm des menschen Arch. Psychiat. Nervenkr 1929 vol. 87 527 570

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Authors
He, B., Yang, L., Wilke, C., & Yuan, H.
Affiliations
University of Minnesota (US)
Corresponding author
Bin He
Venue
IEEE Transactions on Biomedical Engineering
Published
2011-07
Volume
58
Issue
7
Pages
1918-1931
ISSN
  • 0018-9294 (ISSN-L)
  • 1558-2531
OpenAlex
W2147326914
Cited by
300
References
121
Citations by year
2026: 11 · 2025: 14 · 2024: 19 · 2023: 14 · 2022: 19 · 2021: 15 · 2020: 22 · 2019: 20 · 2018: 31 · 2017: 24 · 2016: 27 · 2015: 18 · 2014: 28 · 2013: 14 · 2012: 20
FWCI
1.80
Type
journal article
Language
en
Open access
Locations
  • IEEE Transactions on Biomedical Engineering (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institute of Biomedical Imaging and Bioengineering (R01EB007920, R01EB006433, T32EB008389)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Keywords
multimodal neuroimaging, MEG, functional brain networks, brain dynamics, spatiotemporal resolution
MeSH terms
Brain, Brain Mapping, Electroencephalography, Humans, Magnetic Resonance Imaging, Nerve Net, Magnetoencephalography

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