Evidence map›Paper›PMID 32278504›Full record

ReviewTrends in biotechnology2020

New Cognitive Neurotechnology Facilitates Studies of Cortical-Subcortical Interactions.

Byoung-Kyong Min, Matti S Hämäläinen, Dimitrios Pantazis

Abstract readReview
In one paragraph

Review in Trends in biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Rich-club in the brain's macrostructure: Insights from graph theoretical analysis.Computational and structural biotechnology journal · 2020
    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

3 authors.

Byoung-Kyong MinDepartment of Brain and Cognitive Engineering, Korea University, Seoul, 02841, Korea; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Electronic address: min_bk@korea.ac.kr.
Matti S HämäläinenAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA; Harvard Medical School, Boston, MA 02115, USA.
Dimitrios PantazisMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

Funding

Project 4P41EB015896 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2012 to 2018
$9.8M
Scalable Software for Distributed Processing and Visualization of Multi-Site MEG/EEG DatasetsR01NS104585 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI MATTI HAMALAINEN · 2018 to 2026
$4.3M
NIBIB NIH HHS P41 EB015896NINDS NIH HHS R01 NS104585
6 · The paper itself

Abstract

Most of the studies employing neuroimaging have focused on cortical and subcortical signals individually to obtain neurophysiological signatures of cognitive functions. However, understanding the dynamic communication between the cortex and subcortical structures is essential for unraveling the neural correlates of cognition. In this quest, magnetoencephalography (MEG) and electroencephalography (EEG) are the methods of choice because they are noninvasive electrophysiological recording techniques with high temporal resolution. Sophisticated MEG/EEG source estimation techniques and network analysis methods, developed recently, can provide a more comprehensive understanding of the neurophysiological mechanisms of fundamental cognitive processes. Used together with noninvasive modulation of cortical-subcortical communication, these approaches may open up new possibilities for expanding the repertoire of noninvasive cognitive neurotechnology.

Indexed as

Brain MappingBrainCerebellar CortexCognitionElectroencephalographyHumansMagnetoencephalographycognitioncortexelectroencephalographymagnetoencephalographysubcortex

Identifiers

PMID32278504
PMCPMC7442676

What OpenQuestion holds

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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.