Literature DB >> 23474540

A systematic review of brain frontal lobe parcellation techniques in magnetic resonance imaging.

Simon R Cox1, Karen J Ferguson, Natalie A Royle, Susan D Shenkin, Sarah E MacPherson, Alasdair M J MacLullich, Ian J Deary, Joanna M Wardlaw.   

Abstract

Manual volumetric measurement of the brain's frontal lobe and its subregions from magnetic resonance images (MRIs) is an established method for researching neural correlates of clinical disorders or cognitive functions. However, there is no consensus between methods used to identify relevant boundaries of a given region of interest (ROI) on MRIs, and those used may bear little relation to each other or the underlying structural, functional and connective architecture. This presents challenges for the analysis and synthesis of such results. We therefore performed a systematic literature review to highlight variations in the anatomical boundaries used to measure frontal regions, contextualised by up-to-date evidence from histology, hodology and neuropsychology. We searched EMBASE and MEDLINE for studies in English reporting three-dimensional boundaries for manually delineating the brain's frontal lobe or sub-regional ROIs from MRIs. Exclusion criteria were: exclusive use of co-ordinate grid systems; insufficient detail to allow method replication; publication in grey literature only. Papers were assessed on quality criteria relating to bias, reproducibility and protocol rationale. There was a large degree of variability in the three-dimensional boundaries of all regions used by the 208 eligible papers. Half of the reports did not justify their rationale for boundary selection, and each paper met on average only three quarters of quality criteria. For the frontal lobe and each subregion (frontal pole, anterior cingulate, dorsolateral, inferior-lateral, and orbitofrontal) we identified reproducible methods for a biologically plausible target ROI. It is hoped that this synthesis will guide the design of future volumetric studies of cerebral structure.

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Year:  2013        PMID: 23474540     DOI: 10.1007/s00429-013-0527-5

Source DB:  PubMed          Journal:  Brain Struct Funct        ISSN: 1863-2653            Impact factor:   3.270


  17 in total

Review 1.  Structural Image Analysis of the Brain in Neuropsychology Using Magnetic Resonance Imaging (MRI) Techniques.

Authors:  Erin D Bigler
Journal:  Neuropsychol Rev       Date:  2015-08-18       Impact factor: 7.444

2.  Dorsolateral prefrontal cortex volume as a mediator between socioeconomic status and executive function.

Authors:  Danielle Shaked; Leslie I Katzel; Stephen L Seliger; Rao P Gullapalli; Christos Davatzikos; Guray Erus; Michele K Evans; Alan B Zonderman; Shari R Waldstein
Journal:  Neuropsychology       Date:  2018-09-13       Impact factor: 3.295

3.  Radiation dose to circumscribed brain regions and neurocognitive function in patients with meningioma.

Authors:  Angela Sekely; Derek S Tsang; Donald Mabbott; Paul Kongkham; Gelareh Zadeh; Konstantine K Zakzanis; Kim Edelstein
Journal:  Neurooncol Pract       Date:  2022-02-19

Review 4.  Prefrontal cortex and the dysconnectivity hypothesis of schizophrenia.

Authors:  Yuan Zhou; Lingzhong Fan; Chenxiang Qiu; Tianzi Jiang
Journal:  Neurosci Bull       Date:  2015-03-11       Impact factor: 5.203

5.  Correlational structure of 'frontal' tests and intelligence tests indicates two components with asymmetrical neurostructural correlates in old age.

Authors:  Simon R Cox; Sarah E MacPherson; Karen J Ferguson; Jack Nissan; Natalie A Royle; Alasdair M J MacLullich; Joanna M Wardlaw; Ian J Deary
Journal:  Intelligence       Date:  2014-09

6.  Cognitive demands of lower paleolithic toolmaking.

Authors:  Dietrich Stout; Erin Hecht; Nada Khreisheh; Bruce Bradley; Thierry Chaminade
Journal:  PLoS One       Date:  2015-04-15       Impact factor: 3.240

7.  Volumetric and Correlational Implications of Brain Parcellation Method Selection: A 3-Way Comparison in the Frontal Lobes.

Authors:  Simon R Cox; Tahlia I McKenzie; Benjamin S Aribisala; Natalie A Royle; Sarah E MacPherson; Alasdair M J MacLullich; Mark E Bastin; Joanna M Wardlaw; Ian J Deary; Karen J Ferguson
Journal:  J Comput Assist Tomogr       Date:  2016 Jan-Feb       Impact factor: 1.826

8.  Brain cortical characteristics of lifetime cognitive ageing.

Authors:  Simon R Cox; Mark E Bastin; Stuart J Ritchie; David Alexander Dickie; Dave C Liewald; Susana Muñoz Maniega; Paul Redmond; Natalie A Royle; Alison Pattie; Maria Valdés Hernández; Janie Corley; Benjamin S Aribisala; Andrew M McIntosh; Joanna M Wardlaw; Ian J Deary
Journal:  Brain Struct Funct       Date:  2017-09-06       Impact factor: 3.270

9.  Fronto-striatal organization: Defining functional and microstructural substrates of behavioural flexibility.

Authors:  Laurel S Morris; Prantik Kundu; Nicholas Dowell; Daisy J Mechelmans; Pauline Favre; Michael A Irvine; Trevor W Robbins; Nathaniel Daw; Edward T Bullmore; Neil A Harrison; Valerie Voon
Journal:  Cortex       Date:  2015-11-18       Impact factor: 4.027

10.  Compensation or inhibitory failure? Testing hypotheses of age-related right frontal lobe involvement in verbal memory ability using structural and diffusion MRI.

Authors:  Simon R Cox; Mark E Bastin; Karen J Ferguson; Mike Allerhand; Natalie A Royle; Susanna Muñoz Maniega; John M Starr; Alasdair M J MacLullich; Joanna M Wardlaw; Ian J Deary; Sarah E MacPherson
Journal:  Cortex       Date:  2014-08-21       Impact factor: 4.027

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