Literature DB >> 25378158

Constrained by our connections: white matter's key role in interindividual variability in visual working memory capacity.

Ali M Golestani1, Laura Miles1, James Babb1, F Xavier Castellanos2, Dolores Malaspina3, Mariana Lazar4.   

Abstract

Visual working memory (VWM) plays an essential role in many perceptual and higher-order cognitive processes. Despite its reliance on a broad network of brain regions, VWM has a capacity limited to a few objects. This capacity varies substantially across individuals and relates closely to measures of overall cognitive function (Luck and Vogel, 2013). The mechanisms underlying these properties are not completely understood, although the amplitude of neural signal oscillations (Vogel and Machizawa, 2004) and brain activation in specific cortical regions (Todd and Marois, 2004) have been implicated. Variability in VWM performance may also reflect variability in white matter structural properties. However, data based primarily on diffusion tensor imaging approaches remain inconclusive. Here, we investigate the relationship between white matter and VWM capacity in human subjects using an advanced diffusion imaging technique, diffusion kurtosis imaging. Diffusion kurtosis imaging provides several novel quantitative white mater metrics, among them the axonal water fraction (f(axon)), an index of axonal density and caliber. Our results show that 59% of individual variability in VWM capacity may be explained by variations in f(axon) within a widely distributed network of white matter tracts. Increased f(axon) associates with increased VWM capacity. An additional 12% in VWM capacity variance may be explained by diffusion properties of the extra-axonal space. These data demonstrate, for the first time, the key role of white matter in limiting VWM capacity in the healthy adult brain and suggest that white matter may represent an important therapeutic target in disorders of impaired VWM and cognition.
Copyright © 2014 the authors 0270-6474/14/3414913-06$15.00/0.

Entities:  

Keywords:  axonal density; diffusion kurtosis imaging; individual differences; microstructure; visual working memory capacity; white matter

Mesh:

Year:  2014        PMID: 25378158      PMCID: PMC4220025          DOI: 10.1523/JNEUROSCI.2317-14.2014

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  29 in total

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Authors:  Christian K Tamnes; Anders M Fjell; Ylva Østby; Lars T Westlye; Paulina Due-Tønnessen; Atle Bjørnerud; Kristine B Walhovd
Journal:  Neuropsychologia       Date:  2011-09-16       Impact factor: 3.139

2.  White matter microstructure in superior longitudinal fasciculus associated with spatial working memory performance in children.

Authors:  Martin Vestergaard; Kathrine Skak Madsen; William F C Baaré; Arnold Skimminge; Lisser Rye Ejersbo; Thomas Z Ramsøy; Christian Gerlach; Per Akeson; Olaf B Paulson; Terry L Jernigan
Journal:  J Cogn Neurosci       Date:  2010-10-22       Impact factor: 3.225

3.  Multiple white matter tract abnormalities underlie cognitive impairment in RRMS.

Authors:  Hui Jing Yu; Christopher Christodoulou; Vikram Bhise; Daniel Greenblatt; Yashma Patel; Dana Serafin; Mirjana Maletic-Savatic; Lauren B Krupp; Mark E Wagshul
Journal:  Neuroimage       Date:  2011-10-29       Impact factor: 6.556

4.  In vivo measurement of axon diameter distribution in the corpus callosum of rat brain.

Authors:  Daniel Barazany; Peter J Basser; Yaniv Assaf
Journal:  Brain       Date:  2009-04-29       Impact factor: 13.501

5.  Microstructural correlations of white matter tracts in the human brain.

Authors:  Michael Wahl; Yi-Ou Li; Joshua Ng; Sara C Lahue; Shelly R Cooper; Elliott H Sherr; Pratik Mukherjee
Journal:  Neuroimage       Date:  2010-03-04       Impact factor: 6.556

6.  Verbal working memory performance correlates with regional white matter structures in the frontoparietal regions.

Authors:  Hikaru Takeuchi; Yasuyuki Taki; Yuko Sassa; Hiroshi Hashizume; Atsushi Sekiguchi; Ai Fukushima; Ryuta Kawashima
Journal:  Neuropsychologia       Date:  2011-09-01       Impact factor: 3.139

7.  Why do axons differ in caliber?

Authors:  János A Perge; Jeremy E Niven; Enrico Mugnaini; Vijay Balasubramanian; Peter Sterling
Journal:  J Neurosci       Date:  2012-01-11       Impact factor: 6.167

8.  White matter characterization with diffusional kurtosis imaging.

Authors:  Els Fieremans; Jens H Jensen; Joseph A Helpern
Journal:  Neuroimage       Date:  2011-06-13       Impact factor: 6.556

9.  Estimation of tensors and tensor-derived measures in diffusional kurtosis imaging.

Authors:  Ali Tabesh; Jens H Jensen; Babak A Ardekani; Joseph A Helpern
Journal:  Magn Reson Med       Date:  2010-10-28       Impact factor: 4.668

Review 10.  FSL.

Authors:  Mark Jenkinson; Christian F Beckmann; Timothy E J Behrens; Mark W Woolrich; Stephen M Smith
Journal:  Neuroimage       Date:  2011-09-16       Impact factor: 6.556

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  9 in total

1.  Altered Relationship between Working Memory and Brain Microstructure after Mild Traumatic Brain Injury.

Authors:  S Chung; X Wang; E Fieremans; J F Rath; P Amorapanth; F-Y A Foo; C J Morton; D S Novikov; S R Flanagan; Y W Lui
Journal:  AJNR Am J Neuroradiol       Date:  2019-08-01       Impact factor: 3.825

2.  Independent Contributions of Dorsolateral Prefrontal Structure and Function to Working Memory in Healthy Older Adults.

Authors:  Nicole D Evangelista; Andrew O'Shea; Jessica N Kraft; Hanna K Hausman; Emanuel M Boutzoukas; Nicole R Nissim; Alejandro Albizu; Cheshire Hardcastle; Emily J Van Etten; Pradyumna K Bharadwaj; Samantha G Smith; Hyun Song; Georg A Hishaw; Steven DeKosky; Samuel Wu; Eric Porges; Gene E Alexander; Michael Marsiske; Ronald Cohen; Adam J Woods
Journal:  Cereb Cortex       Date:  2021-02-05       Impact factor: 5.357

3.  Visual working memory continues to develop through adolescence.

Authors:  Elif Isbell; Keisuke Fukuda; Helen J Neville; Edward K Vogel
Journal:  Front Psychol       Date:  2015-05-27

4.  Differences in brain morphology and working memory capacity across childhood.

Authors:  Joe Bathelt; Susan E Gathercole; Amy Johnson; Duncan E Astle
Journal:  Dev Sci       Date:  2017-07-26

5.  The cingulum as a marker of individual differences in neurocognitive development.

Authors:  Joe Bathelt; Amy Johnson; Mengya Zhang; Duncan E Astle
Journal:  Sci Rep       Date:  2019-02-19       Impact factor: 4.379

6.  Physical activity, aerobic fitness, and brain white matter: Their role for executive functions in adolescence.

Authors:  Ilona Ruotsalainen; Tetiana Gorbach; Jaana Perkola; Ville Renvall; Heidi J Syväoja; Tuija H Tammelin; Juha Karvanen; Tiina Parviainen
Journal:  Dev Cogn Neurosci       Date:  2020-02-04       Impact factor: 6.464

7.  Predicting visual working memory with multimodal magnetic resonance imaging.

Authors:  Yu Xiao; Ying Lin; Junji Ma; Jiehui Qian; Zijun Ke; Liangfang Li; Yangyang Yi; Jinbo Zhang; Zhengjia Dai
Journal:  Hum Brain Mapp       Date:  2020-12-05       Impact factor: 5.038

8.  Working Memory And Brain Tissue Microstructure: White Matter Tract Integrity Based On Multi-Shell Diffusion MRI.

Authors:  Sohae Chung; Els Fieremans; Nuri E Kucukboyaci; Xiuyuan Wang; Charles J Morton; Dmitry S Novikov; Joseph F Rath; Yvonne W Lui
Journal:  Sci Rep       Date:  2018-02-16       Impact factor: 4.379

Review 9.  Interpreting and Utilising Intersubject Variability in Brain Function.

Authors:  Mohamed L Seghier; Cathy J Price
Journal:  Trends Cogn Sci       Date:  2018-03-30       Impact factor: 20.229

  9 in total

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