Selection of Seeds for Resting-State fMRI-Based Prediction of Individual Brain Maturity

Norman Scheel; Andrea Essenwanger; Thomas F. Münte; Marcus Heldmann; Ulrike M. Krämer; Amir Madany Mamlouk

doi:10.1007/978-3-662-46224-9_64

Selection of Seeds for Resting-State fMRI-Based Prediction of Individual Brain Maturity

Norman Scheel, Andrea Essenwanger, Thomas F. Münte, Marcus Heldmann, Ulrike M. Krämer, Amir Madany Mamlouk

Abstract

The analysis of resting-state brain connectivity allows unraveling the fundamentals of functional brain organization. Especially changes of network connectivity related to age or diseases promise to serve as early biomarkers. After control of subject movement, we found that, when reaching a critical number of subjects, age prediction is reproducible for all seed selection strategies tested here (functional, anatomical and random based seeds). On the Enhanced Rockland Community Sample, we use support vector regression (SVR) and intense permutation testing for statistical validation.

Original language	English
Title of host publication	Bildverarbeitung für die Medizin 2015
Editors	Heinz Handels, Thomas Martin Deserno, Hans-Peter Meinzer, Thomas Tolxdorff
Number of pages	6
Publisher	Springer Verlag
Publication date	25.02.2015
Pages	371-376
ISBN (Print)	978-3-662-46223-2
ISBN (Electronic)	978-3-662-46224-9
DOIs	https://doi.org/10.1007/978-3-662-46224-9_64
Publication status	Published - 25.02.2015
Event	Workshop on Bildverarbeitung fur die Medizin 2015 - Universität zu Lübeck, Lübeck, Germany Duration: 15.03.2015 → 17.03.2015

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Scheel, N., Essenwanger, A., Münte, T. F., Heldmann, M., Krämer, U. M., & Mamlouk, A. M. (2015). Selection of Seeds for Resting-State fMRI-Based Prediction of Individual Brain Maturity. In H. Handels, T. M. Deserno, H-P. Meinzer, & T. Tolxdorff (Eds.), Bildverarbeitung für die Medizin 2015 (pp. 371-376). (Informatik aktuell). Springer Verlag. https://doi.org/10.1007/978-3-662-46224-9_64

@inproceedings{db24be4af61f41c5b5c4bbe6ce05c7f0,

title = "Selection of Seeds for Resting-State fMRI-Based Prediction of Individual Brain Maturity",

abstract = "The analysis of resting-state brain connectivity allows unraveling the fundamentals of functional brain organization. Especially changes of network connectivity related to age or diseases promise to serve as early biomarkers. After control of subject movement, we found that, when reaching a critical number of subjects, age prediction is reproducible for all seed selection strategies tested here (functional, anatomical and random based seeds). On the Enhanced Rockland Community Sample, we use support vector regression (SVR) and intense permutation testing for statistical validation.",

author = "Norman Scheel and Andrea Essenwanger and M{\"u}nte, {Thomas F.} and Marcus Heldmann and Kr{\"a}mer, {Ulrike M.} and Mamlouk, {Amir Madany}",

year = "2015",

month = feb,

day = "25",

doi = "10.1007/978-3-662-46224-9_64",

language = "English",

isbn = "978-3-662-46223-2",

series = "Informatik aktuell",

publisher = "Springer Verlag",

pages = "371--376",

editor = "Handels, {Heinz } and Deserno, {Thomas Martin } and Meinzer, {Hans-Peter } and Tolxdorff, {Thomas }",

booktitle = "Bildverarbeitung f{\"u}r die Medizin 2015",

note = "Workshop on Bildverarbeitung fur die Medizin 2015 ; Conference date: 15-03-2015 Through 17-03-2015",

}

Scheel, N, Essenwanger, A, Münte, TF , Heldmann, M , Krämer, UM & Mamlouk, AM 2015, Selection of Seeds for Resting-State fMRI-Based Prediction of Individual Brain Maturity. in H Handels, TM Deserno, H-P Meinzer & T Tolxdorff (eds), Bildverarbeitung für die Medizin 2015. Informatik aktuell, Springer Verlag, pp. 371-376, Workshop on Bildverarbeitung fur die Medizin 2015, Lübeck, Germany, 15.03.15. https://doi.org/10.1007/978-3-662-46224-9_64

Selection of Seeds for Resting-State fMRI-Based Prediction of Individual Brain Maturity. / Scheel, Norman; Essenwanger, Andrea; Münte, Thomas F. et al.
Bildverarbeitung für die Medizin 2015. ed. / Heinz Handels; Thomas Martin Deserno; Hans-Peter Meinzer; Thomas Tolxdorff. Springer Verlag, 2015. p. 371-376 (Informatik aktuell).

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

TY - GEN

T1 - Selection of Seeds for Resting-State fMRI-Based Prediction of Individual Brain Maturity

AU - Scheel, Norman

AU - Essenwanger, Andrea

AU - Münte, Thomas F.

AU - Heldmann, Marcus

AU - Krämer, Ulrike M.

AU - Mamlouk, Amir Madany

PY - 2015/2/25

Y1 - 2015/2/25

N2 - The analysis of resting-state brain connectivity allows unraveling the fundamentals of functional brain organization. Especially changes of network connectivity related to age or diseases promise to serve as early biomarkers. After control of subject movement, we found that, when reaching a critical number of subjects, age prediction is reproducible for all seed selection strategies tested here (functional, anatomical and random based seeds). On the Enhanced Rockland Community Sample, we use support vector regression (SVR) and intense permutation testing for statistical validation.

AB - The analysis of resting-state brain connectivity allows unraveling the fundamentals of functional brain organization. Especially changes of network connectivity related to age or diseases promise to serve as early biomarkers. After control of subject movement, we found that, when reaching a critical number of subjects, age prediction is reproducible for all seed selection strategies tested here (functional, anatomical and random based seeds). On the Enhanced Rockland Community Sample, we use support vector regression (SVR) and intense permutation testing for statistical validation.

U2 - 10.1007/978-3-662-46224-9_64

DO - 10.1007/978-3-662-46224-9_64

M3 - Conference contribution

SN - 978-3-662-46223-2

T3 - Informatik aktuell

SP - 371

EP - 376

BT - Bildverarbeitung für die Medizin 2015

A2 - Handels, Heinz

A2 - Deserno, Thomas Martin

A2 - Meinzer, Hans-Peter

A2 - Tolxdorff, Thomas

PB - Springer Verlag

T2 - Workshop on Bildverarbeitung fur die Medizin 2015

Y2 - 15 March 2015 through 17 March 2015

ER -

Selection of Seeds for Resting-State fMRI-Based Prediction of Individual Brain Maturity

Abstract

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