Towards a mechanistic understanding of the human subcortex

Birte U Forstmann; Gilles de Hollander; Leendert van Maanen; Anneke Alkemade; Max C Keuken

doi:10.1038/nrn.2016.163

Towards a mechanistic understanding of the human subcortex

Birte U Forstmann
, Gilles de Hollander
, Leendert van Maanen
, Anneke Alkemade
, Max C Keuken

Research output: Contribution to journal › Review article › peer-review

Abstract

The human subcortex is a densely populated part of the brain, of which only 7% of the individual structures are depicted in standard MRI atlases. In vivo MRI of the subcortex is challenging owing to its anatomical complexity and its deep location in the brain. The technical advances that are needed to reliably uncover this 'terra incognita' call for an interdisciplinary human neuroanatomical approach. We discuss the emerging methods that could be used in such an approach and the incorporation of the data that are generated from these methods into model-based cognitive neuroscience frameworks.

Original language	English
Pages (from-to)	57-65
Number of pages	9
Journal	Nature Reviews Neuroscience
Volume	18
Issue number	1
DOIs	https://doi.org/10.1038/nrn.2016.163
Publication status	Published - 15 Dec 2016
Externally published	Yes

Keywords

Animals
Artificial Intelligence
Brain/anatomy & histology
Brain Mapping
Cognition/physiology
Humans
Image Processing, Computer-Assisted/methods
Magnetic Resonance Imaging

Access to Document

10.1038/nrn.2016.163

Cite this

@article{469667f5f7704dc9870ab38414e158c0,

title = "Towards a mechanistic understanding of the human subcortex",

abstract = "The human subcortex is a densely populated part of the brain, of which only 7\% of the individual structures are depicted in standard MRI atlases. In vivo MRI of the subcortex is challenging owing to its anatomical complexity and its deep location in the brain. The technical advances that are needed to reliably uncover this 'terra incognita' call for an interdisciplinary human neuroanatomical approach. We discuss the emerging methods that could be used in such an approach and the incorporation of the data that are generated from these methods into model-based cognitive neuroscience frameworks.",

keywords = "Animals, Artificial Intelligence, Brain/anatomy \& histology, Brain Mapping, Cognition/physiology, Humans, Image Processing, Computer-Assisted/methods, Magnetic Resonance Imaging",

author = "Forstmann, \{Birte U\} and \{de Hollander\}, Gilles and \{van Maanen\}, Leendert and Anneke Alkemade and Keuken, \{Max C\}",

year = "2016",

month = dec,

day = "15",

doi = "10.1038/nrn.2016.163",

language = "English",

volume = "18",

pages = "57--65",

journal = "Nature Reviews Neuroscience",

issn = "1471-003X",

publisher = "Springer Nature",

number = "1",

}

TY - JOUR

T1 - Towards a mechanistic understanding of the human subcortex

AU - Forstmann, Birte U

AU - de Hollander, Gilles

AU - van Maanen, Leendert

AU - Alkemade, Anneke

AU - Keuken, Max C

PY - 2016/12/15

Y1 - 2016/12/15

N2 - The human subcortex is a densely populated part of the brain, of which only 7% of the individual structures are depicted in standard MRI atlases. In vivo MRI of the subcortex is challenging owing to its anatomical complexity and its deep location in the brain. The technical advances that are needed to reliably uncover this 'terra incognita' call for an interdisciplinary human neuroanatomical approach. We discuss the emerging methods that could be used in such an approach and the incorporation of the data that are generated from these methods into model-based cognitive neuroscience frameworks.

AB - The human subcortex is a densely populated part of the brain, of which only 7% of the individual structures are depicted in standard MRI atlases. In vivo MRI of the subcortex is challenging owing to its anatomical complexity and its deep location in the brain. The technical advances that are needed to reliably uncover this 'terra incognita' call for an interdisciplinary human neuroanatomical approach. We discuss the emerging methods that could be used in such an approach and the incorporation of the data that are generated from these methods into model-based cognitive neuroscience frameworks.

KW - Animals

KW - Artificial Intelligence

KW - Brain/anatomy & histology

KW - Brain Mapping

KW - Cognition/physiology

KW - Humans

KW - Image Processing, Computer-Assisted/methods

KW - Magnetic Resonance Imaging

U2 - 10.1038/nrn.2016.163

DO - 10.1038/nrn.2016.163

M3 - Review article

C2 - 27974841

SN - 1471-003X

VL - 18

SP - 57

EP - 65

JO - Nature Reviews Neuroscience

JF - Nature Reviews Neuroscience

IS - 1

ER -

Towards a mechanistic understanding of the human subcortex

Abstract

Keywords

Access to Document

Fingerprint

Cite this