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  Advances in MRI-based computational neuroanatomy: From morphometry to in-vivo histology

Weiskopf, N., Mohammadi, S., Lutti, A., & Callaghan, M. F. (2015). Advances in MRI-based computational neuroanatomy: From morphometry to in-vivo histology. Current Opinion in Neurology, 28(4), 313-322. doi:10.1097/WCO.0000000000000222.

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 Urheber:
Weiskopf, Nikolaus1, 2, Autor           
Mohammadi, Siawoosh3, Autor
Lutti, Antoine4, Autor
Callaghan, Martina F.3, Autor
Affiliations:
1Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              
2Wellcome Trust Centre for Neuroimaging, University College London, United Kingdom, ou_persistent22              
3Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Germany, ou_persistent22              
4Laboratoire de Recherche en Neuroimagerie (LREN), Centre hospitalier universitaire vaudois, Lausanne, Switzerland, ou_persistent22              

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Schlagwörter: In-vivo histology (hMRI); Quantitative MRI (qMRI); Tissue microstructure; Voxel-based morphometry (VBM)
 Zusammenfassung: PURPOSE OF REVIEW:

Current computational neuroanatomy based on MRI focuses on morphological measures of the brain. We present recent methodological developments in quantitative MRI (qMRI) that provide standardized measures of the brain, which go beyond morphology. We show how biophysical modelling of qMRI data can provide quantitative histological measures of brain tissue, leading to the emerging field of in-vivo histology using MRI (hMRI).
RECENT FINDINGS:

qMRI has greatly improved the sensitivity and specificity of computational neuroanatomy studies. qMRI metrics can also be used as direct indicators of the mechanisms driving observed morphological findings. For hMRI, biophysical models of the MRI signal are being developed to directly access histological information such as cortical myelination, axonal diameters or axonal g-ratio in white matter. Emerging results indicate promising prospects for the combined study of brain microstructure and function.
SUMMARY:

Non-invasive brain tissue characterization using qMRI or hMRI has significant implications for both research and clinics. Both approaches improve comparability across sites and time points, facilitating multicentre/longitudinal studies and standardized diagnostics. hMRI is expected to shed new light on the relationship between brain microstructure, function and behaviour, both in health and disease, and become an indispensable addition to computational neuroanatomy.

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Sprache(n): eng - English
 Datum: 2015-07-162015-08-01
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1097/WCO.0000000000000222
PMID: 26132532
 Art des Abschluß: -

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Projektname : Non-invasive in vivo histology in health and disease using Magnetic Resonance Imaging (MRI) / HMRI
Grant ID : 616905
Förderprogramm : Funding Programme 7 (FP7)
Förderorganisation : European Commission (EC)
Projektname : -
Grant ID : -
Förderprogramm : -
Förderorganisation : Wings for Life, UCL SLMS Captial Equipment
Projektname : -
Grant ID : -
Förderprogramm : -
Förderorganisation : Medical Research Council (MRC)
Projektname : Taking imaging into the therapeutic domain: Self-regulation of brain systems for mental disorders / BRAINTRAIN
Grant ID : 602186
Förderprogramm : Funding Programme 7 (FP7)
Förderorganisation : European Commission (EC)
Projektname : -
Grant ID : MO 2397/1-1
Förderprogramm : -
Förderorganisation : Deutsche Forschungsgemeinschaft (DFG)
Projektname : -
Grant ID : 0915/Z/10/Z
Förderprogramm : -
Förderorganisation : Wellcome Trust
Projektname : -
Grant ID : -
Förderprogramm : -
Förderorganisation : Roger de Spoelberg Foundation
Projektname : -
Grant ID : -
Förderprogramm : -
Förderorganisation : Partridge Foundation

Quelle 1

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Titel: Current Opinion in Neurology
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 28 (4) Artikelnummer: - Start- / Endseite: 313 - 322 Identifikator: ISSN: 1535-3850
CoNE: https://pure.mpg.de/cone/journals/resource/991042727070048