Neuroscience

Multi-modal mobile brain-body imaging (MoBI) dataset for assaying neural and head movement responses associated with creative video game play in children


One of the grand challenges in neuroscience is to understand the developing brain ‘in action and in context’ in complex natural settings. To address this challenge, it is imperative to acquire brain data from freely-behaving children to assay the variability and individuality of neural patterns across gender and age.

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Citation Author(s):
Submitted by:
Akshay Ravindran
Last updated:
Wed, 03/28/2018 - 10:50
DOI:
10.21227/H23W88
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[1] , "Multi-modal mobile brain-body imaging (MoBI) dataset for assaying neural and head movement responses associated with creative video game play in children ", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H23W88. Accessed: May. 25, 2018.
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publisher = {IEEE Dataport},
title = {Multi-modal mobile brain-body imaging (MoBI) dataset for assaying neural and head movement responses associated with creative video game play in children },
year = {2017} }
TY - DATA
T1 - Multi-modal mobile brain-body imaging (MoBI) dataset for assaying neural and head movement responses associated with creative video game play in children
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H23W88
ER -
. (2017). Multi-modal mobile brain-body imaging (MoBI) dataset for assaying neural and head movement responses associated with creative video game play in children . IEEE Dataport. http://dx.doi.org/10.21227/H23W88
, 2017. Multi-modal mobile brain-body imaging (MoBI) dataset for assaying neural and head movement responses associated with creative video game play in children . Available at: http://dx.doi.org/10.21227/H23W88.
. (2017). "Multi-modal mobile brain-body imaging (MoBI) dataset for assaying neural and head movement responses associated with creative video game play in children ." Web.
1. . Multi-modal mobile brain-body imaging (MoBI) dataset for assaying neural and head movement responses associated with creative video game play in children [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H23W88
. "Multi-modal mobile brain-body imaging (MoBI) dataset for assaying neural and head movement responses associated with creative video game play in children ." doi: 10.21227/H23W88

Mobile EEG Recordings in an Art Museum Setting


Recent advances in scalp electroencephalography (EEG) as a neuroimaging tool have now allowed researchers to overcome technical challenges and movement restrictions typical in traditional neuroimaging studies.  Fortunately, recent mobile EEG devices have enabled studies involving cognition and motor control in natural environments that require mobility, such as during art perception and production in a museum setting, and during locomotion tasks.

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Dataset Details

Citation Author(s):
Submitted by:
Justin Brantley
Last updated:
Wed, 03/28/2018 - 10:50
DOI:
10.21227/H2TM00
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[1] , "Mobile EEG Recordings in an Art Museum Setting", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2TM00. Accessed: May. 25, 2018.
@data{h2tm00-17,
doi = {10.21227/H2TM00},
url = {http://dx.doi.org/10.21227/H2TM00},
author = { },
publisher = {IEEE Dataport},
title = {Mobile EEG Recordings in an Art Museum Setting},
year = {2017} }
TY - DATA
T1 - Mobile EEG Recordings in an Art Museum Setting
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2TM00
ER -
. (2017). Mobile EEG Recordings in an Art Museum Setting. IEEE Dataport. http://dx.doi.org/10.21227/H2TM00
, 2017. Mobile EEG Recordings in an Art Museum Setting. Available at: http://dx.doi.org/10.21227/H2TM00.
. (2017). "Mobile EEG Recordings in an Art Museum Setting." Web.
1. . Mobile EEG Recordings in an Art Museum Setting [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2TM00
. "Mobile EEG Recordings in an Art Museum Setting." doi: 10.21227/H2TM00

Decoding local field potentials for neural interfaces


This dataset is associated with the paper, Jackson & Hall 2016, which is open source, and can be found here: http://ieeexplore.ieee.org/document/7742994/

The DataPort Repository contains the data used primarily for generating Figure 1.

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Citation Author(s):
Submitted by:
Thomas Hall
Last updated:
Wed, 03/28/2018 - 10:53
DOI:
10.21227/H2VW5Z
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[1] , "Decoding local field potentials for neural interfaces", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2VW5Z. Accessed: May. 25, 2018.
@data{h2vw5z-17,
doi = {10.21227/H2VW5Z},
url = {http://dx.doi.org/10.21227/H2VW5Z},
author = { },
publisher = {IEEE Dataport},
title = {Decoding local field potentials for neural interfaces},
year = {2017} }
TY - DATA
T1 - Decoding local field potentials for neural interfaces
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2VW5Z
ER -
. (2017). Decoding local field potentials for neural interfaces. IEEE Dataport. http://dx.doi.org/10.21227/H2VW5Z
, 2017. Decoding local field potentials for neural interfaces. Available at: http://dx.doi.org/10.21227/H2VW5Z.
. (2017). "Decoding local field potentials for neural interfaces." Web.
1. . Decoding local field potentials for neural interfaces [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2VW5Z
. "Decoding local field potentials for neural interfaces." doi: 10.21227/H2VW5Z

Tracking Neurons in a Moving and Deforming Brain Dataset


Advances in optical neuroimaging techniques now allow neural activity to be recorded with cellular resolution in awake and behaving animals.  Brain motion in these recordings pose a unique challenge. The location of individual neurons must  be tracked in 3D over time to accurately extract single neuron activity traces. Recordings from small invertebrates like C. elegans are especially challenging because they undergo very large brain motion and deformation during animal movement.

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Citation Author(s):
Submitted by:
Andrew Leifer
Last updated:
Tue, 05/01/2018 - 15:09
DOI:
10.21227/H2901H
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[1] , "Tracking Neurons in a Moving and Deforming Brain Dataset", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2901H. Accessed: May. 25, 2018.
@data{h2901h-17,
doi = {10.21227/H2901H},
url = {http://dx.doi.org/10.21227/H2901H},
author = { },
publisher = {IEEE Dataport},
title = {Tracking Neurons in a Moving and Deforming Brain Dataset},
year = {2017} }
TY - DATA
T1 - Tracking Neurons in a Moving and Deforming Brain Dataset
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2901H
ER -
. (2017). Tracking Neurons in a Moving and Deforming Brain Dataset. IEEE Dataport. http://dx.doi.org/10.21227/H2901H
, 2017. Tracking Neurons in a Moving and Deforming Brain Dataset. Available at: http://dx.doi.org/10.21227/H2901H.
. (2017). "Tracking Neurons in a Moving and Deforming Brain Dataset." Web.
1. . Tracking Neurons in a Moving and Deforming Brain Dataset [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2901H
. "Tracking Neurons in a Moving and Deforming Brain Dataset." doi: 10.21227/H2901H

Mobile Brain-Body Imaging during Indoor Treadmill Walking and Outdoor Overground Walking with a Visual Search Task


Previous neuroimaging research has been traditionally confined to strict laboratory environments due to the limits of technology. Only recently have more studies emerged exploring the use of mobile brain imaging outside the laboratory. This study uses electroencephalography (EEG) and signal processing techniques to provide new opportunities for studying mobile subjects moving outside of the laboratory and in real world settings. The purpose of this study was to document the current viability of using high density EEG for mobile brain imaging both indoors and outdoors.

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Citation Author(s):
Submitted by:
Daniel Ferris
Last updated:
Tue, 05/22/2018 - 22:53
DOI:
10.21227/H24T0V
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[1] , "Mobile Brain-Body Imaging during Indoor Treadmill Walking and Outdoor Overground Walking with a Visual Search Task", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H24T0V. Accessed: May. 25, 2018.
@data{h24t0v-18,
doi = {10.21227/H24T0V},
url = {http://dx.doi.org/10.21227/H24T0V},
author = { },
publisher = {IEEE Dataport},
title = {Mobile Brain-Body Imaging during Indoor Treadmill Walking and Outdoor Overground Walking with a Visual Search Task},
year = {2018} }
TY - DATA
T1 - Mobile Brain-Body Imaging during Indoor Treadmill Walking and Outdoor Overground Walking with a Visual Search Task
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H24T0V
ER -
. (2018). Mobile Brain-Body Imaging during Indoor Treadmill Walking and Outdoor Overground Walking with a Visual Search Task. IEEE Dataport. http://dx.doi.org/10.21227/H24T0V
, 2018. Mobile Brain-Body Imaging during Indoor Treadmill Walking and Outdoor Overground Walking with a Visual Search Task. Available at: http://dx.doi.org/10.21227/H24T0V.
. (2018). "Mobile Brain-Body Imaging during Indoor Treadmill Walking and Outdoor Overground Walking with a Visual Search Task." Web.
1. . Mobile Brain-Body Imaging during Indoor Treadmill Walking and Outdoor Overground Walking with a Visual Search Task [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H24T0V
. "Mobile Brain-Body Imaging during Indoor Treadmill Walking and Outdoor Overground Walking with a Visual Search Task." doi: 10.21227/H24T0V

Segmented EEG Data from 12 Subjects during Left and Right Bicep Flexion


Electroencephalography (EEG) signal data was collected from twelve healthy subjects with no known musculoskeletal or neurological deficits (mean age 25.5 ± 3.7, 11 male, 1 female, 1 left handed, 11 right handed) using an EGI Geodesics© Hydrocel EEG 64-Channel spongeless sensor net. All subjects gave their informed consent for inclusion before they participated in the study. The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Ethics Committee of the University of Wisconsin-Milwaukee (17.352).

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Dataset Details

Citation Author(s):
Submitted by:
Joshua Myszewski
Last updated:
Sat, 05/19/2018 - 12:01
DOI:
10.21227/H2F66Q
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[1] , "Segmented EEG Data from 12 Subjects during Left and Right Bicep Flexion", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H2F66Q. Accessed: May. 25, 2018.
@data{h2f66q-18,
doi = {10.21227/H2F66Q},
url = {http://dx.doi.org/10.21227/H2F66Q},
author = { },
publisher = {IEEE Dataport},
title = {Segmented EEG Data from 12 Subjects during Left and Right Bicep Flexion},
year = {2018} }
TY - DATA
T1 - Segmented EEG Data from 12 Subjects during Left and Right Bicep Flexion
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H2F66Q
ER -
. (2018). Segmented EEG Data from 12 Subjects during Left and Right Bicep Flexion. IEEE Dataport. http://dx.doi.org/10.21227/H2F66Q
, 2018. Segmented EEG Data from 12 Subjects during Left and Right Bicep Flexion. Available at: http://dx.doi.org/10.21227/H2F66Q.
. (2018). "Segmented EEG Data from 12 Subjects during Left and Right Bicep Flexion." Web.
1. . Segmented EEG Data from 12 Subjects during Left and Right Bicep Flexion [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H2F66Q
. "Segmented EEG Data from 12 Subjects during Left and Right Bicep Flexion." doi: 10.21227/H2F66Q

Temporal processing and context dependency in C. elegans mechanosensation dataset


 

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Citation Author(s):
Submitted by:
Andrew Leifer
Last updated:
Mon, 03/26/2018 - 14:58
DOI:
10.21227/H27944
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[1] , "Temporal processing and context dependency in C. elegans mechanosensation dataset", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H27944. Accessed: May. 25, 2018.
@data{h27944-18,
doi = {10.21227/H27944},
url = {http://dx.doi.org/10.21227/H27944},
author = { },
publisher = {IEEE Dataport},
title = {Temporal processing and context dependency in C. elegans mechanosensation dataset},
year = {2018} }
TY - DATA
T1 - Temporal processing and context dependency in C. elegans mechanosensation dataset
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H27944
ER -
. (2018). Temporal processing and context dependency in C. elegans mechanosensation dataset. IEEE Dataport. http://dx.doi.org/10.21227/H27944
, 2018. Temporal processing and context dependency in C. elegans mechanosensation dataset. Available at: http://dx.doi.org/10.21227/H27944.
. (2018). "Temporal processing and context dependency in C. elegans mechanosensation dataset." Web.
1. . Temporal processing and context dependency in C. elegans mechanosensation dataset [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H27944
. "Temporal processing and context dependency in C. elegans mechanosensation dataset." doi: 10.21227/H27944

IEEE Brain Data Bank Competition - Xi'an, China


The IEEE Brain Initiative intends to continue to present Neurotech innovation/education opportunities around the world after sponsoring several challenges and competitions in 2017 in St.


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Citation Author(s):
Submitted by:
Sin Kuen Hawkins
Last updated:
Tue, 05/22/2018 - 15:46
DOI:
10.21227/H2HT08
 
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[1] , "IEEE Brain Data Bank Competition - Xi'an, China", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H2HT08. Accessed: May. 25, 2018.
@data{h2ht08-18,
doi = {10.21227/H2HT08},
url = {http://dx.doi.org/10.21227/H2HT08},
author = { },
publisher = {IEEE Dataport},
title = {IEEE Brain Data Bank Competition - Xi'an, China},
year = {2018} }
TY - DATA
T1 - IEEE Brain Data Bank Competition - Xi'an, China
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H2HT08
ER -
. (2018). IEEE Brain Data Bank Competition - Xi'an, China. IEEE Dataport. http://dx.doi.org/10.21227/H2HT08
, 2018. IEEE Brain Data Bank Competition - Xi'an, China. Available at: http://dx.doi.org/10.21227/H2HT08.
. (2018). "IEEE Brain Data Bank Competition - Xi'an, China." Web.
1. . IEEE Brain Data Bank Competition - Xi'an, China [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H2HT08
. "IEEE Brain Data Bank Competition - Xi'an, China." doi: 10.21227/H2HT08

IEEE Brain Data Bank Competition - Boston, MA


This is the last in a series of challenges and competitons sponsored by IEEE Brain Initiative in 2017 that explore various brain/neuro datasets.  Results and final presentations are expected to be made at the Boston (Cambridge) event, December 9, 2017.  NOTE: EVENT IS STILL ON AS SCHEDULED DESPITE WEATHER. 

COMPETITION DETAILS: https://brain.ieee.org/news/call-participation-ieee-brain-data-bank-chal...


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Citation Author(s):
Submitted by:
Sin Kuen Hawkins
Last updated:
Sun, 03/18/2018 - 12:33
DOI:
10.21227/H20K9M
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[1] , "IEEE Brain Data Bank Competition - Boston, MA", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H20K9M. Accessed: May. 25, 2018.
@data{h20k9m-17,
doi = {10.21227/H20K9M},
url = {http://dx.doi.org/10.21227/H20K9M},
author = { },
publisher = {IEEE Dataport},
title = {IEEE Brain Data Bank Competition - Boston, MA},
year = {2017} }
TY - DATA
T1 - IEEE Brain Data Bank Competition - Boston, MA
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H20K9M
ER -
. (2017). IEEE Brain Data Bank Competition - Boston, MA. IEEE Dataport. http://dx.doi.org/10.21227/H20K9M
, 2017. IEEE Brain Data Bank Competition - Boston, MA. Available at: http://dx.doi.org/10.21227/H20K9M.
. (2017). "IEEE Brain Data Bank Competition - Boston, MA." Web.
1. . IEEE Brain Data Bank Competition - Boston, MA [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H20K9M
. "IEEE Brain Data Bank Competition - Boston, MA." doi: 10.21227/H20K9M

IEEE Brain Data Bank Challenge - Glasgow, Scotland


Terabytes of brain EEG data are available through open sources, collected from tests associated with human cognitive capability, stroke patient recovery, class learning ability, and other social environments, over a wide range of demographics. Some also play with stimulus such as audio, music, video, lights and digital games. 


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Citation Author(s):
Submitted by:
Sin Kuen Hawkins
Last updated:
Thu, 02/15/2018 - 09:50
DOI:
10.21227/H25K8S
 
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[1] , "IEEE Brain Data Bank Challenge - Glasgow, Scotland", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H25K8S. Accessed: May. 25, 2018.
@data{h25k8s-17,
doi = {10.21227/H25K8S},
url = {http://dx.doi.org/10.21227/H25K8S},
author = { },
publisher = {IEEE Dataport},
title = {IEEE Brain Data Bank Challenge - Glasgow, Scotland},
year = {2017} }
TY - DATA
T1 - IEEE Brain Data Bank Challenge - Glasgow, Scotland
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H25K8S
ER -
. (2017). IEEE Brain Data Bank Challenge - Glasgow, Scotland. IEEE Dataport. http://dx.doi.org/10.21227/H25K8S
, 2017. IEEE Brain Data Bank Challenge - Glasgow, Scotland. Available at: http://dx.doi.org/10.21227/H25K8S.
. (2017). "IEEE Brain Data Bank Challenge - Glasgow, Scotland." Web.
1. . IEEE Brain Data Bank Challenge - Glasgow, Scotland [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H25K8S
. "IEEE Brain Data Bank Challenge - Glasgow, Scotland." doi: 10.21227/H25K8S

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