[Eeglablist] Join our consortium to build EEG brain growth charts

[Scott Makeig]

George and all -    I am pleased to read something about your project, but
wonder, from your msg, whether you know of the large effort here to
carefully document (formally annotate) EEG and other time series
neuroimaging data, using the BIDS and HED standards for file organization
and recording parameters (BIDS) and event description (HED) respectively.
Currently, the largest such repository we now of is the OpenNeuro/NEMAR
archive for which NEMAR.org serves as a gateway. NEMAR is, furthermore, an
open data, tools and compute resource with free access to US supercomputers
for nearly any not-for-profit computing on NEMAR (or other uploaded) data.
NEMAR <https://urldefense.com/v3/__https://nemar.org__;!!Mih3wA!Gi9IGX5ZNa8BHP_JYwHAakqX8c91LDVXTmwQ7XICJh1fwxSGNzflQ8NGqNV3yV5doCoh9Gm8nw9IgMTduvtt$ > currently hosts 427 human neuroelectromagnetic
brain data studies totalling 39.5 TB of EEG, MEG, and/or iEEG data from
22,467 participants, each structured as a BIDS dataset
<https://urldefense.com/v3/__https://bids.neuroimaging.io/__;!!Mih3wA!Gi9IGX5ZNa8BHP_JYwHAakqX8c91LDVXTmwQ7XICJh1fwxSGNzflQ8NGqNV3yV5doCoh9Gm8nw9IgB2FBorC$ >. One recently uploaded dataset
<https://urldefense.com/v3/__https://nemar.org/dataexplorer/detail?dataset_id=ds005505__;!!Mih3wA!Gi9IGX5ZNa8BHP_JYwHAakqX8c91LDVXTmwQ7XICJh1fwxSGNzflQ8NGqNV3yV5doCoh9Gm8nw9IgKd0greG$ > in NEMAR, from
the Healthy Brain Network (HBN) project of the Child-Mind Institute of New
York, includes hour-long EEG session data from over 3,500 participants
between the ages of 5 and 21 (expected to grow toward 7,000 session
recordings in near future). Might this be useful for your research?

Scott Makeig

On Wed, Sep 17, 2025 at 7:05 PM George Buzzell via eeglablist <
eeglablist at sccn.ucsd.edu> wrote:

> Dear colleagues,
> Our team is seeking to harmonize existing EEG datasets across studies and
> labs to create standardized trajectories of EEG measures for the field
> (i.e., brain “growth charts”). Starting with resting state (baseline) EEG
> recordings, the goal is to compute norms for the field, as well as to
> provide researchers with the tools to compute age-normed centile scores for
> any future dataset.
> Solving this problem requires a team science approach, and we are looking
> for researchers interested in joining our growing consortium, and who are
> open to sharing resting EEG data for this initiative. Any researcher with
> resting state EEG data recorded with any system, at any age, from any
> geographic location is highly encouraged to convey their intent through the
> following survey:
>
> https://urldefense.com/v3/__https://redcap.link/rj4md6cn__;!!Mih3wA!CsagYToFuES-3_HG3Xhxl4y9MrL1pOppKMxeUEoPwMWkgYEUCrc1HufJhhAqQeoVrRaGxFSPDOn5iz6T2Ki1MBs$
> Contributions of data that are used in this project would provide the
> opportunity for authorship on the seminal EEG brain growth charts paper.
> Please note that we are not requesting any transfer of data currently, only
> that researchers communicate their intent to contribute, and to provide a
> few details about their data. Details regarding data use will be defined in
> a formal data use agreement and/or memoranda of understanding prior to data
> transfer.
> Thank you for your consideration, and thank you to our many colleagues who
> have already graciously accepted our invitation to join this initiative.
> Sincerely,
>
> Developmental EEG Consortium team leads
> Sonya Troller-Renfree (Columbia)
> Santiago Morales (USC)
> George Buzzell (FIU)
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-- 
Scott Makeig, Research Scientist and Director, Swartz Center for
Computational Neuroscience, Institute for Neural Computation, University of
California San Diego, La Jolla CA 92093-0559, http://sccn.ucsd.edu/~scott