English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Methods for cerebellar imaging analysis

Priovoulos, N., & Bazin, P.-L. (2023). Methods for cerebellar imaging analysis. Current Opinion in Behavioral Sciences, 54: 101328. doi:10.1016/j.cobeha.2023.101328.

Item is

Files

show Files
hide Files
:
Priovoulos_2023.pdf (Publisher version), 3MB
Name:
Priovoulos_2023.pdf
Description:
-
OA-Status:
Hybrid
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-

Locators

show

Creators

show
hide
 Creators:
Priovoulos, Nikos1, 2, 3, Author
Bazin, Pierre-Louis4, 5, Author                 
Affiliations:
1Spinoza Centre for Neuroimaging, University of Amsterdam, the Netherlands, ou_persistent22              
2Computational Cognitive Neuroscience and Neuroimaging, The Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, Amsterdam, the Netherlands, ou_persistent22              
3Department of Biomedical Engineering and Physics, VU University Medical Center, Amsterdam, the Netherlands, ou_persistent22              
4Integrative Model-Based Cognitive Neuroscience Research Unit (IMCN), University of Amsterdam, the Netherlands, ou_persistent22              
5Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              

Content

show
hide
Free keywords: -
 Abstract: The human cerebellum consists of an extended, highly-folded, and laminated cortical sheet overlying the white matter and cerebellar nuclei. This complex anatomy hinders the processing of magnetic resonance imaging data, as the relevant structures are not fully resolved. In this review, we explore the typical processing techniques employed for the anatomical and functional imaging of the cerebellum, along with their primary limitations with respect to imaging fidelity. Moreover, we discuss emerging methods applicable postmortem and in-vivo that greatly enhance fidelity in cerebellar imaging through higher-resolution data and individual-level processing.

Details

show
hide
Language(s): eng - English
 Dates: 2023-05-312023-11-202023-12-052023-12
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.cobeha.2023.101328
 Degree: -

Event

show

Legal Case

show

Project information

show hide
Project name : -
Grant ID : OCENW.XS22.4.007
Funding program : -
Funding organization : Dutch Research Council (NWO)
Project name : -
Grant ID : T0922
Funding program : -
Funding organization : Amsterdam Brain and Cognition

Source 1

show
hide
Title: Current Opinion in Behavioral Sciences
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Amsterdam : Elsevier
Pages: - Volume / Issue: 54 Sequence Number: 101328 Start / End Page: - Identifier: ISSN: 2352-1546
CoNE: https://pure.mpg.de/cone/journals/resource/2352-1546