Literature DB >> 29454932

Preserved canonicality of the BOLD hemodynamic response reflects healthy cognition: Insights into the healthy brain through the window of Multiple Sclerosis.

Monroe P Turner1, Nicholas A Hubbard2, Dinesh K Sivakolundu1, Lyndahl M Himes1, Joanna L Hutchison1, John Hart3, Jeffrey S Spence1, Elliot M Frohman4, Teresa C Frohman4, Darin T Okuda4, Bart Rypma5.   

Abstract

The hemodynamic response function (HRF), a model of brain blood-flow changes in response to neural activity, reflects communication between neurons and the vasculature that supplies these neurons in part by means of glial cell intermediaries (e.g., astrocytes). Intact neural-vascular communication might play a central role in optimal cognitive performance. This hypothesis can be tested by comparing healthy individuals to those with known white-matter damage and impaired performance, as seen in Multiple Sclerosis (MS). Glial cell intermediaries facilitate the ability of neurons to adequately convey metabolic needs to cerebral vasculature for sufficient oxygen and nutrient perfusion. In this study, we isolated measurements of the HRF that could quantify the extent to which white-matter affects neural-vascular coupling and cognitive performance. HRFs were modeled from multiple brain regions during multiple cognitive tasks using piecewise cubic spline functions, an approach that minimized assumptions regarding HRF shape that may not be valid for diseased populations, and were characterized using two shape metrics (peak amplitude and time-to-peak). Peak amplitude was reduced, and time-to-peak was longer, in MS patients relative to healthy controls. Faster time-to-peak was predicted by faster reaction time, suggesting an important role for vasodilatory speed in the physiology underlying processing speed. These results support the hypothesis that intact neural-glial-vascular communication underlies optimal neural and cognitive functioning.
Copyright © 2018 Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 29454932      PMCID: PMC6093806          DOI: 10.1016/j.neuroimage.2017.12.081

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  149 in total

1.  Functional brain imaging of young, nondemented, and demented older adults.

Authors:  R L Buckner; A Z Snyder; A L Sanders; M E Raichle; J C Morris
Journal:  J Cogn Neurosci       Date:  2000       Impact factor: 3.225

2.  Variation of BOLD hemodynamic responses across subjects and brain regions and their effects on statistical analyses.

Authors:  Daniel A Handwerker; John M Ollinger; Mark D'Esposito
Journal:  Neuroimage       Date:  2004-04       Impact factor: 6.556

3.  Coupling of the cortical hemodynamic response to cortical and thalamic neuronal activity.

Authors:  Anna Devor; Istvan Ulbert; Andrew K Dunn; Suresh N Narayanan; Stephanie R Jones; Mark L Andermann; David A Boas; Anders M Dale
Journal:  Proc Natl Acad Sci U S A       Date:  2005-02-25       Impact factor: 11.205

4.  Examination of processing speed deficits in multiple sclerosis using functional magnetic resonance imaging.

Authors:  Helen M Genova; Frank G Hillary; Glenn Wylie; Bart Rypma; John Deluca
Journal:  J Int Neuropsychol Soc       Date:  2009-05       Impact factor: 2.892

5.  Age-related differences in multiple measures of white matter integrity: A diffusion tensor imaging study of healthy aging.

Authors:  Ilana J Bennett; David J Madden; Chandan J Vaidya; Darlene V Howard; James H Howard
Journal:  Hum Brain Mapp       Date:  2010-03       Impact factor: 5.038

6.  Calibrated functional MRI: mapping the dynamics of oxidative metabolism.

Authors:  T L Davis; K K Kwong; R M Weisskoff; B R Rosen
Journal:  Proc Natl Acad Sci U S A       Date:  1998-02-17       Impact factor: 11.205

7.  When less is more and when more is more: The mediating roles of capacity and speed in brain-behavior efficiency.

Authors:  Bart Rypma; Vivek Prabhakaran
Journal:  Intelligence       Date:  2009-03-01

Review 8.  Measurement and clinical effect of grey matter pathology in multiple sclerosis.

Authors:  Jeroen J G Geurts; Massimiliano Calabrese; Elizabeth Fisher; Richard A Rudick
Journal:  Lancet Neurol       Date:  2012-12       Impact factor: 44.182

9.  Hemodynamic and metabolic responses to neuronal inhibition.

Authors:  Bojana Stefanovic; Jan M Warnking; G Bruce Pike
Journal:  Neuroimage       Date:  2004-06       Impact factor: 6.556

10.  Cortical atrophy is relevant in multiple sclerosis at clinical onset.

Authors:  Massimiliano Calabrese; Matteo Atzori; Valentina Bernardi; Aldo Morra; Chiara Romualdi; Luciano Rinaldi; Matthew J M McAuliffe; Luigi Barachino; Paola Perini; Bruce Fischl; Leontino Battistin; Paolo Gallo
Journal:  J Neurol       Date:  2007-03-14       Impact factor: 4.849

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  2 in total

1.  Cerebrovascular Reactivity and Neurovascular Coupling in Multiple Sclerosis-A Systematic Review.

Authors:  Mark B Vestergaard; Jette L Frederiksen; Henrik B W Larsson; Stig P Cramer
Journal:  Front Neurol       Date:  2022-06-01       Impact factor: 4.086

2.  The subtleties of cognitive decline in multiple sclerosis: an exploratory study using hierarchichal cluster analysis of CANTAB results.

Authors:  Hideraldo Luis Souza Cabeça; Luciano Chaves Rocha; Amanda Ferreira Sabbá; Alessandra Mendonça Tomás; Natali Valim Oliver Bento-Torres; Daniel Clive Anthony; Cristovam Wanderley Picanço Diniz
Journal:  BMC Neurol       Date:  2018-09-10       Impact factor: 2.474

  2 in total

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