Evidence map›Paper›PMID 28398357›Full record

ArticleScientific data2017

A resource for assessing information processing in the developing brain using EEG and eye tracking.

Nicolas Langer, Erica J Ho, Lindsay M Alexander, Helen Y Xu, Renee K Jozanovic, Simon Henin, Agustin Petroni, Samantha Cohen, Enitan T Marcelle, Lucas C Parra and 2 more

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

29 citing papers in PubMed, 85 citations in OpenAlex.

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  11. Evaluating and Comparing Measures of Aperiodic Neural Activity.bioRxiv : the preprint server for biology · 2024
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  13. Development of the Alpha Rhythm Is Linked to Visual White Matter Pathways and Visual Detection Performance.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
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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

12 authors at 7 institutions in 3 countries.

Nicolas LangerCenter for the Developing Brain, Child Mind Institute, New York, New York 10022, USA.
Erica J HoCenter for the Developing Brain, Child Mind Institute, New York, New York 10022, USA.
Lindsay M AlexanderCenter for the Developing Brain, Child Mind Institute, New York, New York 10022, USA.
Helen Y XuCenter for the Developing Brain, Child Mind Institute, New York, New York 10022, USA.
Renee K JozanovicCenter for the Developing Brain, Child Mind Institute, New York, New York 10022, USA.
Simon HeninDepartment of Biomedical Engineering, City College of New York, New York 10031, USA.
Agustin PetroniDepartment of Biomedical Engineering, City College of New York, New York 10031, USA.
Samantha CohenDepartment of Biomedical Engineering, City College of New York, New York 10031, USA.ORCID 0000-0003-3007-5372
Enitan T MarcelleCenter for the Developing Brain, Child Mind Institute, New York, New York 10022, USA.
Lucas C ParraDepartment of Biomedical Engineering, City College of New York, New York 10031, USA.ORCID 0000-0003-4667-816X
Michael P MilhamCenter for the Developing Brain, Child Mind Institute, New York, New York 10022, USA.
Simon P KellyDepartment of Biomedical Engineering, City College of New York, New York 10031, USA.
Child Mind Institute · USCity College of New York · USNathan Kline Institute for Psychiatric Research · USThe Graduate Center, CUNY · USUniversity College Dublin · IEUniversity of Zurich · CHYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a dataset combining electrophysiology and eye tracking intended as a resource for the investigation of information processing in the developing brain. The dataset includes high-density task-based and task-free EEG, eye tracking, and cognitive and behavioral data collected from 126 individuals (ages: 6-44). The task battery spans both the simple/complex and passive/active dimensions to cover a range of approaches prevalent in modern cognitive neuroscience. The active task paradigms facilitate principled deconstruction of core components of task performance in the developing brain, whereas the passive paradigms permit the examination of intrinsic functional network activity during varying amounts of external stimulation. Alongside these neurophysiological data, we include an abbreviated cognitive test battery and questionnaire-based measures of psychiatric functioning. We hope that this dataset will lead to the development of novel assays of neural processes fundamental to information processing, which can be used to index healthy brain development as well as detect pathologic processes.

Indexed as

BrainMental ProcessesBrain MappingElectroencephalographyEye MovementsHumansTask Performance and Analysis

Identifiers

PMID28398357
PMCPMC5387929
OpenAlexW2951908892

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.