Evidence map›Paper›PMID 34336364›Full record

ArticleEngineering (Beijing, China)2015

Systems Neuroengineering: Understanding and Interacting with the Brain.

Bradley J Edelman, Nessa Johnson, Abbas Sohrabpour, Shanbao Tong, Nitish Thakor, Bin He

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Engineering (Beijing, China), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 47 citations in OpenAlex.

  1. Neuroscientific therapies for subjective tinnitus.Journal of Zhejiang University. Science. B · 2026
    Review
  2. Brain glucodynamic variability is an essential feature of the metabolism-cognition relationship.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. On the Neuromodulatory Pathways of theCurrent opinion in biomedical engineering · 2018
    Article
  11. Review
  12. Exploring Cognitive Flexibility With a Noninvasive BCI Using Simultaneous Steady-State Visual Evoked Potentials and Sensorimotor Rhythms.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2018
    Article
  13. Article
  14. Electromagnetic source imaging using simultaneous scalp EEG and intracranial EEG: An emerging tool for interacting with pathological brain networks.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2018
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 3 countries.

Bradley J EdelmanDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455, USA.
Nessa JohnsonDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455, USA.
Abbas SohrabpourDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455, USA.
Shanbao TongSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China.
Nitish ThakorDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA.
Bin HeDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455, USA.
University of Minnesota · USJohns Hopkins University · USShanghai Jiao Tong University · CN

Funding

Cannabinoid-based therapy and approaches to quantify pain in sickle cell diseaseU01HL117664 · NHLBI · UNIVERSITY OF MINNESOTA · PI GUPTA, KALPNA · 2013 to 2018
$9.6M
Integrative Training Program in NeuroimagingT32EB008389 · NIBIB · UNIVERSITY OF MINNESOTA · PI CHEN, WEI · 2008 to 2019
$1.4M
Multimodal Imaging of Brain Activity and ConnectivityR01EB006433 · NIBIB · UNIVERSITY OF MINNESOTA · PI HE, BIN · 2009 to 2012
$1.3M
CRCNS: Spatiotemporal imaging study of the mechanisms of binocular rivalryR01EY023101 · NEI · UNIVERSITY OF MINNESOTA · PI HE, BIN · 2012 to 2014
$1.1M
NEI NIH HHS R01 EY023101NHLBI NIH HHS U01 HL117664NIBIB NIH HHS R01 EB006433NIBIB NIH HHS T32 EB008389
6 · The paper itself

Abstract

In this paper, we review the current state-of-the-art techniques used for understanding the inner workings of the brain at a systems level. The neural activity that governs our everyday lives involves an intricate coordination of many processes that can be attributed to a variety of brain regions. On the surface, many of these functions can appear to be controlled by specific anatomical structures; however, in reality, numerous dynamic networks within the brain contribute to its function through an interconnected web of neuronal and synaptic pathways. The brain, in its healthy or pathological state, can therefore be best understood by taking a systems-level approach. While numerous neuroengineering technologies exist, we focus here on three major thrusts in the field of systems neuroengineering: neuroimaging, neural interfacing, and neuromodulation. Neuroimaging enables us to delineate the structural and functional organization of the brain, which is key in understanding how the neural system functions in both normal and disease states. Based on such knowledge, devices can be used either to communicate with the neural system, as in neural interface systems, or to modulate brain activity, as in neuromodulation systems. The consideration of these three fields is key to the development and application of neuro-devices. Feedback-based neuro-devices require the ability to sense neural activity (via a neuroimaging modality) through a neural interface (invasive or noninvasive) and ultimately to select a set of stimulation parameters in order to alter neural function via a neuromodulation modality. Systems neuroengineering refers to the use of engineering tools and technologies to image, decode, and modulate the brain in order to comprehend its functions and to repair its dysfunction. Interactions between these fields will help to shape the future of systems neuroengineering-to develop neurotechniques for enhancing the understanding of whole-brain function and dysfunction, and the management of neurological and mental disorders.

Indexed as

brain-computer interfacebrain-machine interfaceneural interfaceneural stimulationneuroimagingneuromodulationneurotechnologysystems neuroengineering

Identifiers

PMID34336364
PMCPMC8323844
OpenAlexW2155061149

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.