Huibert D. Mansvelder

Huibert D. Mansvelder

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Huibert D. Mansvelder

Vrije Universiteit Amsterdam

Research Focus & Metrics

Academic Career Length

31Years (1996-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2000 in Neuron
Verified
Journal Article
Closed access
HMHuibert D Mansvelder
Huibert D Mansvelder
DMDaniel S McGehee
Daniel S McGehee

1 March 2002 in Neuron
Verified
Journal Article
Closed access
HMHuibert D Mansvelder
Huibert D Mansvelder
JKJ.RUssel Keath
J.RUssel Keath
DMDaniel S McGehee
Daniel S McGehee

1 January 2012 in Frontiers in Physiology
Verified
Journal Article
Open access
RHRichard Hardstone
Richard Hardstone
SPSimon-Shlomo Poil
Simon-Shlomo Poil
GSGiuseppina Schiavone
Giuseppina Schiavone
RJRick Jansen
Rick Jansen
VNVadim V. Nikulin
Vadim V. Nikulin
KLKlaus Linkenkaer-Hansen
Klaus Linkenkaer-Hansen
Recent years of research have shown that the complex temporal structure of ongoing oscillations is scale-free and characterized by long-range temporal correlations. Detrended fluctuation analysis (DFA) has proven particularly useful, revealing that genetic variation, normal development, or disease can lead to differences in the scale-free amplitude modulation of oscillations. Furthermore, amplitude dynamics is remarkably independent of the time-averaged oscillation power, indicating that the DFA provides unique insights into the functional organization of neuronal systems. To facilitate understanding and encourage wider use of scaling analysis of neuronal oscillations, we provide a pedagogical explanation of the DFA algorithm and its underlying theory. Practical advice on applying DFA to oscillations is supported by MATLAB scripts from the Neurophysiological Biomarker Toolbox (NBT) and links to the NBT tutorial website http://www.nbtwiki.net/. Finally, we provide a brief overview of insights derived from the application of DFA to ongoing oscillations in health and disease, and discuss the putative relevance of criticality for understanding the mechanism underlying scale-free modulation of oscillations.

18 July 2012 in The Journal of Neuroscience
Verified
Journal Article
Closed access
PDF file
SPSimon-Shlomo Poil
Simon-Shlomo Poil
RHRichard Hardstone
Richard Hardstone
HMHuibert D. Mansvelder
Huibert D. Mansvelder
KLKlaus Linkenkaer-Hansen
Klaus Linkenkaer-Hansen
Criticality has gained widespread interest in neuroscience as an attractive framework for understanding the character and functional implications of variability in brain activity. The metastability of critical systems maximizes their dynamic range, storage capacity, and computational power. Power-law scaling—a hallmark of criticality—has been observed on different levels, e.g., in the distribution of neuronal avalanches in vitro and in vivo, but also in the decay of temporal correlations in behavioral performance and ongoing oscillations in humans. An unresolved issue is whether power-law scaling on different organizational levels in the brain—and possibly in other hierarchically organized systems—can be related. Here, we show that critical-state dynamics of avalanches and oscillations jointly emerge in a neuronal network model when excitation and inhibition is balanced. The oscillatory activity of the model was qualitatively similar to what is typically observed in recordings of human resting-state MEG. We propose that homeostatic plasticity mechanisms tune this balance in healthy brain networks, and that it is essential for critical behavior on multiple levels of neuronal organization with ensuing functional benefits. Based on our network model, we introduce a concept of multi-level criticality in which power-law scaling can emerge on multiple time scales in oscillating networks.

15 November 2002 in Journal of Neurobiology
Verified
Journal Article
Closed access
HMHuibert D. Mansvelder
Huibert D. Mansvelder
DMDaniel S. McGehee
Daniel S. McGehee

26 May 2017 in PLOS Biology
Verified
Journal Article
Open access
PDF file
NCNutabi Camargo
Nutabi Camargo
AGAndrea Goudriaan
Andrea Goudriaan
ADAnne-Lieke F. van Deijk
Anne-Lieke F. van Deijk
WOWillem M. Otte
Willem M. Otte
JBJos F. Brouwers
Jos F. Brouwers
MVMark H G Verheijen
Mark H G Verheijen
In the vertebrate nervous system, myelination of axons for rapid impulse propagation requires the synthesis of large amounts of lipids and proteins by oligodendrocytes and Schwann cells. Myelin membranes are thought to be cell-autonomously assembled by these axon-associated glial cells. Here, we report the surprising finding that in normal brain development, a substantial fraction of the lipids incorporated into central nervous system (CNS) myelin are contributed by astrocytes. The oligodendrocyte-specific inactivation of sterol regulatory element-binding protein (SREBP) cleavage-activating protein (SCAP), an essential coactivator of the transcription factor SREBP and thus of lipid biosynthesis, resulted in significantly retarded CNS myelination; however, myelin appeared normal at 3 months of age. Importantly, embryonic deletion of the same gene in astrocytes, or in astrocytes and oligodendrocytes, caused a persistent hypomyelination, as did deletion from astrocytes during postnatal development. Moreover, when astroglial lipid synthesis was inhibited, oligodendrocytes began incorporating circulating lipids into myelin membranes. Indeed, a lipid-enriched diet was sufficient to rescue hypomyelination in these conditional mouse mutants. We conclude that lipid synthesis by oligodendrocytes is heavily supplemented by astrocytes in vivo and that horizontal lipid flux is a major feature of normal brain development and myelination. The myelin membrane is a highly specialized plasma membrane that enwraps axons, acts as an insulator, and is thus important for fast conduction of action potentials. It is thereby critical for proper functioning of the nervous system. Myelin in the central nervous system is synthesized by oligodendrocytes. Because myelin has a high lipid content, it is vulnerable to lipid metabolism disorders. It is unknown whether extracellular lipids also contribute to myelination by oligodendrocytes under healthy conditions, and if they do, what the origin of these lipids would be. Here, we show that formation of myelin membrane in mice does not only need lipid synthesis by oligodendrocytes, but also requires extracellular lipids provided by astrocytes. Indeed, when lipid synthesis was inactivated in either oligodendrocytes or astrocytes, myelin membrane synthesis was reduced. However, when lipid synthesis was inactivated in both cell types, myelin membrane synthesis was virtually absent. Furthermore, when lipid synthesis was inactivated in astrocytes, oligodendrocytes bypassed this deficiency by using dietary lipids for myelin membrane synthesis. Furthermore, a high-fat diet could promote myelin synthesis. We conclude that extracellular lipids, either provided by astrocytes or in the diet, contribute to myelination by oligodendrocytes during normal brain development.