Skip to main content
Top
Published in: Insights into Imaging 1/2021

01-12-2021 | Magnetic Resonance Imaging | Original Article

Investigating the sub-regions of the superior parietal cortex using functional magnetic resonance imaging connectivity

Author: Adnan A. S. Alahmadi

Published in: Insights into Imaging | Issue 1/2021

Login to get access

Abstract

Objectives

Traditionally, the superior parietal lobule (SPL) is usually investigated as one region of interest, particularly in functional magnetic resonance imaging (fMRI) studies. However, cytoarchitectonic analysis has shown that the SPL has a complex, heterogeneous topology that comprises more than seven sub-regions. Since previous studies have shown how the SPL is significantly involved in different neurological functions—such as visuomotor, cognitive, sensory, higher order, working memory and attention—this study aims to investigate whether these cytoarchitecturally different sub-regions have different functional connectivity to different functional brain networks.

Methods

This study examined 198 healthy subjects using resting-state fMRI and investigated the functional connectivity of seven sub-regions of the SPL to eight regional functional networks.

Results

The findings showed that most of the seven sub-regions were functionally connected to these targeted networks and that there are differences between these sub-regions and their functional connectivity patterns. The most consistent functional connectivity was observed with the visual and attention networks. There were also clear functional differences between Brodmann area (BA) 5 and BA7. BA5, with its three sub-regions, had strong functional connectivity to both the sensorimotor and salience networks.

Conclusion

These findings have enhanced our understanding of the functional organisations of the complexity of the SPL and its varied topology and also provide clear evidence of the functional patterns and involvements of the SPL in major brain functions.
Literature
1.
go back to reference Wang J et al (2015) Convergent functional architecture of the superior parietal lobule unraveled with multimodal neuroimaging approaches. Hum Brain Mapp 36(1):238–257PubMedCrossRef Wang J et al (2015) Convergent functional architecture of the superior parietal lobule unraveled with multimodal neuroimaging approaches. Hum Brain Mapp 36(1):238–257PubMedCrossRef
2.
3.
go back to reference Weiss PH et al (2003) Are action and perception in near and far space additive or interactive factors? Neuroimage 18(4):837–846PubMedCrossRef Weiss PH et al (2003) Are action and perception in near and far space additive or interactive factors? Neuroimage 18(4):837–846PubMedCrossRef
4.
go back to reference Vingerhoets G et al (2002) Motor imagery in mental rotation: an fMRI study. Neuroimage 17(3):1623–1633PubMedCrossRef Vingerhoets G et al (2002) Motor imagery in mental rotation: an fMRI study. Neuroimage 17(3):1623–1633PubMedCrossRef
5.
go back to reference Zago L, Tzourio-Mazoyer N (2002) Distinguishing visuospatial working memory and complex mental calculation areas within the parietal lobes. Neurosci Lett 331(1):45–49PubMedCrossRef Zago L, Tzourio-Mazoyer N (2002) Distinguishing visuospatial working memory and complex mental calculation areas within the parietal lobes. Neurosci Lett 331(1):45–49PubMedCrossRef
6.
go back to reference Wenderoth N et al (2004) Parieto-premotor areas mediate directional interference during bimanual movements. Cereb Cortex 14(10):1153–1163PubMedCrossRef Wenderoth N et al (2004) Parieto-premotor areas mediate directional interference during bimanual movements. Cereb Cortex 14(10):1153–1163PubMedCrossRef
7.
go back to reference Bray S et al (2013) Structural connectivity of visuotopic intraparietal sulcus. Neuroimage 82:137–145PubMedCrossRef Bray S et al (2013) Structural connectivity of visuotopic intraparietal sulcus. Neuroimage 82:137–145PubMedCrossRef
8.
go back to reference Corbetta M et al (1995) Superior parietal cortex activation during spatial attention shifts and visual feature conjunction. Science 270(5237):802–805PubMedCrossRef Corbetta M et al (1995) Superior parietal cortex activation during spatial attention shifts and visual feature conjunction. Science 270(5237):802–805PubMedCrossRef
9.
go back to reference Coull J, Frith C (1998) Differential activation of right superior parietal cortex and intraparietal sulcus by spatial and nonspatial attention. Neuroimage 8(2):176–187PubMedCrossRef Coull J, Frith C (1998) Differential activation of right superior parietal cortex and intraparietal sulcus by spatial and nonspatial attention. Neuroimage 8(2):176–187PubMedCrossRef
10.
go back to reference Lloyd D, Morrison I, Roberts N (2006) Role for human posterior parietal cortex in visual processing of aversive objects in peripersonal space. J Neurophysiol 95(1):205–214PubMedCrossRef Lloyd D, Morrison I, Roberts N (2006) Role for human posterior parietal cortex in visual processing of aversive objects in peripersonal space. J Neurophysiol 95(1):205–214PubMedCrossRef
11.
go back to reference Biswal B et al (1995) Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magn Reson Med 34(4):537–541PubMedCrossRef Biswal B et al (1995) Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magn Reson Med 34(4):537–541PubMedCrossRef
13.
15.
go back to reference Scheperjans F et al (2008) Probabilistic maps, morphometry, and variability of cytoarchitectonic areas in the human superior parietal cortex. Cereb Cortex 18(9):2141–2157PubMedPubMedCentralCrossRef Scheperjans F et al (2008) Probabilistic maps, morphometry, and variability of cytoarchitectonic areas in the human superior parietal cortex. Cereb Cortex 18(9):2141–2157PubMedPubMedCentralCrossRef
16.
go back to reference Scheperjans F et al (2005) Subdivisions of human parietal area 5 revealed by quantitative receptor autoradiography: a parietal region between motor, somatosensory, and cingulate cortical areas. Neuroimage 25(3):975–992PubMedCrossRef Scheperjans F et al (2005) Subdivisions of human parietal area 5 revealed by quantitative receptor autoradiography: a parietal region between motor, somatosensory, and cingulate cortical areas. Neuroimage 25(3):975–992PubMedCrossRef
17.
go back to reference Scheperjans F et al (2005) Transmitter receptors reveal segregation of cortical areas in the human superior parietal cortex: relations to visual and somatosensory regions. Neuroimage 28(2):362–379PubMedCrossRef Scheperjans F et al (2005) Transmitter receptors reveal segregation of cortical areas in the human superior parietal cortex: relations to visual and somatosensory regions. Neuroimage 28(2):362–379PubMedCrossRef
18.
go back to reference Dijk, K.R.a.V., et al (2010) Intrinsic functional connectivity as a tool for human connectomics: theory. Properties Optim 02138:297–321 Dijk, K.R.a.V., et al (2010) Intrinsic functional connectivity as a tool for human connectomics: theory. Properties Optim 02138:297–321
19.
go back to reference O’Rawe JF, Ide JS, Leung H-C (2019) Model testing for distinctive functional connectivity gradients with resting-state fMRI data. Neuroimage 185:102–110PubMedCrossRef O’Rawe JF, Ide JS, Leung H-C (2019) Model testing for distinctive functional connectivity gradients with resting-state fMRI data. Neuroimage 185:102–110PubMedCrossRef
20.
go back to reference Murphy K, Bodurka J, Bandettini PA (2007) How long to scan? The relationship between fMRI temporal signal to noise ratio and necessary scan duration. Neuroimage 34(2):565–574PubMedCrossRef Murphy K, Bodurka J, Bandettini PA (2007) How long to scan? The relationship between fMRI temporal signal to noise ratio and necessary scan duration. Neuroimage 34(2):565–574PubMedCrossRef
21.
go back to reference Whitfield-Gabrieli S, Nieto-Castanon A (2012) Conn: a functional connectivity toolbox for correlated and anticorrelated brain networks. Brain connectivity 2(3):125–141PubMedCrossRef Whitfield-Gabrieli S, Nieto-Castanon A (2012) Conn: a functional connectivity toolbox for correlated and anticorrelated brain networks. Brain connectivity 2(3):125–141PubMedCrossRef
22.
go back to reference Eickhoff SB et al (2005) A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data. Neuroimage 25(4):1325–1335PubMedCrossRef Eickhoff SB et al (2005) A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data. Neuroimage 25(4):1325–1335PubMedCrossRef
23.
go back to reference Scheperjans F et al (2008) Observer-independent cytoarchitectonic mapping of the human superior parietal cortex. Cereb Cortex 18(4):846–867PubMedCrossRef Scheperjans F et al (2008) Observer-independent cytoarchitectonic mapping of the human superior parietal cortex. Cereb Cortex 18(4):846–867PubMedCrossRef
24.
go back to reference Jafri MJ et al (2008) A method for functional network connectivity among spatially independent resting-state components in schizophrenia. Neuroimage 39(4):1666–1681PubMedCrossRef Jafri MJ et al (2008) A method for functional network connectivity among spatially independent resting-state components in schizophrenia. Neuroimage 39(4):1666–1681PubMedCrossRef
25.
go back to reference Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J Roy Stat Soc: Ser B (Methodol) 57(1):289–300 Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J Roy Stat Soc: Ser B (Methodol) 57(1):289–300
27.
go back to reference Mars RB et al (2011) Diffusion-weighted imaging tractography-based parcellation of the human parietal cortex and comparison with human and macaque resting-state functional connectivity. J Neurosci 31(11):4087–4100PubMedPubMedCentralCrossRef Mars RB et al (2011) Diffusion-weighted imaging tractography-based parcellation of the human parietal cortex and comparison with human and macaque resting-state functional connectivity. J Neurosci 31(11):4087–4100PubMedPubMedCentralCrossRef
28.
go back to reference Behrmann M, Geng JJ, Shomstein S (2004) Parietal cortex and attention. Curr Opin Neurobiol 14(2):212–217PubMedCrossRef Behrmann M, Geng JJ, Shomstein S (2004) Parietal cortex and attention. Curr Opin Neurobiol 14(2):212–217PubMedCrossRef
30.
go back to reference Shulman GL et al (2010) Right hemisphere dominance during spatial selective attention and target detection occurs outside the dorsal frontoparietal network. J Neurosci 30(10):3640–3651PubMedPubMedCentralCrossRef Shulman GL et al (2010) Right hemisphere dominance during spatial selective attention and target detection occurs outside the dorsal frontoparietal network. J Neurosci 30(10):3640–3651PubMedPubMedCentralCrossRef
31.
go back to reference Li G et al (2004) Cortical activations upon stimulation of the sensorimotor-implicated acupoints. Magn Reson Imaging 22(5):639–644PubMedCrossRef Li G et al (2004) Cortical activations upon stimulation of the sensorimotor-implicated acupoints. Magn Reson Imaging 22(5):639–644PubMedCrossRef
32.
go back to reference Premji A, Rai N, Nelson A (2011) Area 5 influences excitability within the primary motor cortex in humans. PLoS ONE 6:5CrossRef Premji A, Rai N, Nelson A (2011) Area 5 influences excitability within the primary motor cortex in humans. PLoS ONE 6:5CrossRef
34.
go back to reference Greicius MD et al (2004) Default-mode network activity distinguishes Alzheimer’s disease from healthy aging: evidence from functional MRI. Proc Natl Acad Sci 101(13):4637–4642PubMedCrossRefPubMedCentral Greicius MD et al (2004) Default-mode network activity distinguishes Alzheimer’s disease from healthy aging: evidence from functional MRI. Proc Natl Acad Sci 101(13):4637–4642PubMedCrossRefPubMedCentral
35.
go back to reference Uddin LQ et al (2008) Network homogeneity reveals decreased integrity of default-mode network in ADHD. J Neurosci Methods 169(1):249–254PubMedCrossRef Uddin LQ et al (2008) Network homogeneity reveals decreased integrity of default-mode network in ADHD. J Neurosci Methods 169(1):249–254PubMedCrossRef
36.
go back to reference Whitfield-Gabrieli S, Ford JM (2012) Default mode network activity and connectivity in psychopathology. Annu Rev Clin Psychol 8:49–76PubMedCrossRef Whitfield-Gabrieli S, Ford JM (2012) Default mode network activity and connectivity in psychopathology. Annu Rev Clin Psychol 8:49–76PubMedCrossRef
37.
go back to reference Uddin LQ et al (2009) Functional connectivity of default mode network components: correlation, anticorrelation, and causality. Hum Brain Mapp 30(2):625–637PubMedCrossRef Uddin LQ et al (2009) Functional connectivity of default mode network components: correlation, anticorrelation, and causality. Hum Brain Mapp 30(2):625–637PubMedCrossRef
38.
go back to reference Rosenberg-Lee M et al (2011) Functional dissociations between four basic arithmetic operations in the human posterior parietal cortex: a cytoarchitectonic mapping study. Neuropsychologia 49(9):2592–2608PubMedPubMedCentralCrossRef Rosenberg-Lee M et al (2011) Functional dissociations between four basic arithmetic operations in the human posterior parietal cortex: a cytoarchitectonic mapping study. Neuropsychologia 49(9):2592–2608PubMedPubMedCentralCrossRef
39.
go back to reference Chen G et al (2011) Negative functional connectivity and its dependence on the shortest path length of positive network in the resting-state human brain. Brain Connectivity 1(3):195–206PubMedPubMedCentralCrossRef Chen G et al (2011) Negative functional connectivity and its dependence on the shortest path length of positive network in the resting-state human brain. Brain Connectivity 1(3):195–206PubMedPubMedCentralCrossRef
40.
go back to reference Alahmadi AA et al (2016) Complex motor task associated with non-linear BOLD responses in cerebro-cortical areas and cerebellum. Brain Struct Funct 221(5):2443–2458PubMedCrossRef Alahmadi AA et al (2016) Complex motor task associated with non-linear BOLD responses in cerebro-cortical areas and cerebellum. Brain Struct Funct 221(5):2443–2458PubMedCrossRef
41.
go back to reference Alahmadi AA et al (2017) Cerebellar lobules and dentate nuclei mirror cortical force-related-BOLD responses: Beyond all (linear) expectations. Hum Brain Mapp 38(5):2566–2579PubMedPubMedCentralCrossRef Alahmadi AA et al (2017) Cerebellar lobules and dentate nuclei mirror cortical force-related-BOLD responses: Beyond all (linear) expectations. Hum Brain Mapp 38(5):2566–2579PubMedPubMedCentralCrossRef
42.
go back to reference Alahmadi AA et al (2015) Differential involvement of cortical and cerebellar areas using dominant and nondominant hands: An FMRI study. Hum Brain Mapp 36(12):5079–5100PubMedPubMedCentralCrossRef Alahmadi AA et al (2015) Differential involvement of cortical and cerebellar areas using dominant and nondominant hands: An FMRI study. Hum Brain Mapp 36(12):5079–5100PubMedPubMedCentralCrossRef
43.
go back to reference Cui SZ et al (2000) Both sides of human cerebellum involved in preparation and execution of sequential movements. NeuroReport 11(17):3849–3853PubMedCrossRef Cui SZ et al (2000) Both sides of human cerebellum involved in preparation and execution of sequential movements. NeuroReport 11(17):3849–3853PubMedCrossRef
44.
go back to reference Imamizu H et al (2000) Human cerebellar activity reflecting an acquired internal model of a new tool. Nature 403(6766):192–195PubMedCrossRef Imamizu H et al (2000) Human cerebellar activity reflecting an acquired internal model of a new tool. Nature 403(6766):192–195PubMedCrossRef
45.
go back to reference Schlerf, J., et al., Big challenges from the little brain—imaging the cerebellum. Advanced brain neuroimaging topics in health and disease—methods and applications, 2014. Schlerf, J., et al., Big challenges from the little brain—imaging the cerebellum. Advanced brain neuroimaging topics in health and disease—methods and applications, 2014.
46.
go back to reference Stoodley CJ (2012) The cerebellum and cognition: evidence from functional imaging studies. Cerebellum (London, England) 11(2):352–365CrossRef Stoodley CJ (2012) The cerebellum and cognition: evidence from functional imaging studies. Cerebellum (London, England) 11(2):352–365CrossRef
47.
48.
49.
go back to reference Wang J et al (2005) To smooth or not to smooth? ROC analysis of perfusion fMRI data. Magn Reson Imaging 23(1):75–81PubMedCrossRef Wang J et al (2005) To smooth or not to smooth? ROC analysis of perfusion fMRI data. Magn Reson Imaging 23(1):75–81PubMedCrossRef
50.
go back to reference Hagler DJ Jr, Saygin AP, Sereno MI (2006) Smoothing and cluster thresholding for cortical surface-based group analysis of fMRI data. Neuroimage 33(4):1093–1103PubMedCrossRef Hagler DJ Jr, Saygin AP, Sereno MI (2006) Smoothing and cluster thresholding for cortical surface-based group analysis of fMRI data. Neuroimage 33(4):1093–1103PubMedCrossRef
51.
go back to reference Wu CW et al (2011) Empirical evaluations of slice-timing, smoothing, and normalization effects in seed-based, resting-state functional magnetic resonance imaging analyses. Brain connectivity 1(5):401–410PubMedCrossRef Wu CW et al (2011) Empirical evaluations of slice-timing, smoothing, and normalization effects in seed-based, resting-state functional magnetic resonance imaging analyses. Brain connectivity 1(5):401–410PubMedCrossRef
52.
go back to reference Alahmadi AA (2020) Effects of different smoothing on global and regional resting functional connectivity. Neuroradiology 2020:1–11 Alahmadi AA (2020) Effects of different smoothing on global and regional resting functional connectivity. Neuroradiology 2020:1–11
53.
go back to reference Molloy EK, Meyerand ME, Birn RM (2014) The influence of spatial resolution and smoothing on the detectability of resting-state and task fMRI. Neuroimage 86:221–230PubMedCrossRef Molloy EK, Meyerand ME, Birn RM (2014) The influence of spatial resolution and smoothing on the detectability of resting-state and task fMRI. Neuroimage 86:221–230PubMedCrossRef
54.
go back to reference Filippi M et al (2013) The organization of intrinsic brain activity differs between genders: A resting-state fMRI study in a large cohort of young healthy subjects. Hum Brain Mapp 34(6):1330–1343PubMedCrossRef Filippi M et al (2013) The organization of intrinsic brain activity differs between genders: A resting-state fMRI study in a large cohort of young healthy subjects. Hum Brain Mapp 34(6):1330–1343PubMedCrossRef
55.
go back to reference Birn RM et al (2013) The effect of scan length on the reliability of resting-state fMRI connectivity estimates. Neuroimage 83:550–558PubMedCrossRef Birn RM et al (2013) The effect of scan length on the reliability of resting-state fMRI connectivity estimates. Neuroimage 83:550–558PubMedCrossRef
56.
go back to reference Noble S et al (2017) Influences on the test–retest reliability of functional connectivity MRI and its relationship with behavioral utility. Cereb Cortex 27(11):5415–5429PubMedPubMedCentralCrossRef Noble S et al (2017) Influences on the test–retest reliability of functional connectivity MRI and its relationship with behavioral utility. Cereb Cortex 27(11):5415–5429PubMedPubMedCentralCrossRef
57.
go back to reference Deco G, Corbetta M (2011) The dynamical balance of the brain at rest. Neuroscientist 17(1):107–123PubMedCrossRef Deco G, Corbetta M (2011) The dynamical balance of the brain at rest. Neuroscientist 17(1):107–123PubMedCrossRef
58.
go back to reference Damoiseaux JS, Greicius MD (2009) Greater than the sum of its parts: a review of studies combining structural connectivity and resting-state functional connectivity. Brain Struct Funct 213(6):525–533PubMedCrossRef Damoiseaux JS, Greicius MD (2009) Greater than the sum of its parts: a review of studies combining structural connectivity and resting-state functional connectivity. Brain Struct Funct 213(6):525–533PubMedCrossRef
59.
Metadata
Title
Investigating the sub-regions of the superior parietal cortex using functional magnetic resonance imaging connectivity
Author
Adnan A. S. Alahmadi
Publication date
01-12-2021
Publisher
Springer International Publishing
Published in
Insights into Imaging / Issue 1/2021
Electronic ISSN: 1869-4101
DOI
https://doi.org/10.1186/s13244-021-00993-9

Other articles of this Issue 1/2021

Insights into Imaging 1/2021 Go to the issue