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Template-O-Matic specifications

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Unique identifier OMICS_16352
Name Template-O-Matic
Software type Toolkit/Suite
Interface Command line interface
Restrictions to use Academic or non-commercial use
Operating system Unix/Linux
Computer skills Advanced
Stability Stable
Maintained Yes

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Maintainer


  • person_outline Marko Wilke <>

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Publication for Template-O-Matic

Template-O-Matic citations

 (22)
library_books

Morphometric Magnetic Resonance Imaging Study in Children With Primary Monosymptomatic Nocturnal Enuresis

2018
PMCID: 5908894
PMID: 29707531
DOI: 10.3389/fped.2018.00103

[…] preprocessing was optimized based on recommendations in the cat12 toolbox manual. all the t1-weighted images were initially segmented using a customized tissue probability map (tpm) created with template-o-matic toolbox (tom8; imaging research center, cincinnati children’s hospital medical center, oh, usa) and normalized to a customized dartel-template created with spm12. customized dartel […]

library_books

Structural Covariance Network of Cortical Gyrification in Benign Childhood Epilepsy with Centrotemporal Spikes

2018
PMCID: 5807981
PMID: 29467710
DOI: 10.3389/fneur.2018.00010

[…] using spm12 and computational anatomy toolbox (cat) based on matlab. briefly, high-resolution structural images were first normalized to a customized child-sized brain template generated using the template-o-matic toolbox and subsequently segmented into gray matter, white matter, and cerebrospinal fluid. using a projection-based thickness procedure, the cortical thickness was estimated, […]

library_books

A spline based regression parameter set for creating customized DARTEL MRI brain templates from infancy to old age

2017
PMCID: 5752094
PMID: 29322076
DOI: 10.1016/j.dib.2017.12.001

[…] demographic (such as age and gender ) and technical factors (such as field strength and data quality , ). as opposed to the previous application of this idea (and its implementation within the template-o-matic toolbox ), the cerebromatic now uses a much more flexible statistical approach, namely multivariate adaptive regression splines . this allows modeling smooth trajectories of change […]

library_books

Cortical organization restored by cochlear implantation in young children with single sided deafness

2017
PMCID: 5715123
PMID: 29203800
DOI: 10.1038/s41598-017-17129-z

[…] ad potentials for 63,307 3 × 3 × 3 mm voxels using a boundary element model mesh that was constructed from age-appropriate montreal neurologic institute (mni) head model templates generated using the template-o-matic toolbox. activity in each hemisphere was evaluated by supressing the other hemisphere. peak activity in both the left (x ≤ −55 mm) and right (x ≥ 55 mm) auditory cortical areas (−35 ≤ […]

library_books

Delayed access to bilateral input alters cortical organization in children with asymmetric hearing

2017
PMCID: 5683809
PMID: 29159054
DOI: 10.1016/j.nicl.2017.10.036

[…] − 80 to 10 ms (). because an internally implanted magnet precludes mri testing for implanted children, age-appropriate montreal neurologic institute (mni) head model templates created using the template-o-matic toolbox () were used to construct a 3-layer boundary element model (bem) mesh. this mesh accounted for age-dependent head geometry and tissue conductivities through the brain, skull […]

library_books

Increased Gray Matter Volume and Resting State Functional Connectivity in Somatosensory Cortex and their Relationship with Autistic Symptoms in Young Boys with Autism Spectrum Disorder

2017
PMCID: 5559537
PMID: 28861001
DOI: 10.3389/fphys.2017.00588

[…] matter (wm), and cerebrospinal fluid (csf). as our images were obtained from young children, the tissue probability maps of gm, wm, and csf of children in this age range were obtained using the template-o-matic toolbox (tom8 http://dbm.neuro.uni-jena.de/software/tom/). a diffeomorphic non-linear registration algorithm (dartel) was used to create a customized t1 template of our own images […]


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Template-O-Matic funding source(s)
This work has been supported by the Deutsche Forschungsgemeinschaft DFG (SFB550/C4) and by a BMBF research grant “Neuroimaging” (01EV0709).

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