D. J. Heslenfeld

Publications (9)9.23 Total impact

• Source

  Available from: Dirk J Veltman

  Article: Distinct brain systems underlie the processing of valence and arousal of affective pictures.

  M M A Nielen, D J Heslenfeld, K Heinen, J W Van Strien, M P Witter, C Jonker, D J Veltman
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  ABSTRACT: Valence and arousal are thought to be the primary dimensions of human emotion. However, the degree to which valence and arousal interact in determining brain responses to emotional pictures is still elusive. This functional MRI study aimed to delineate neural systems responding to valence and arousal, and their interaction. We measured neural activation in healthy females (N=23) to affective pictures using a 2 (Valence) x 2 (Arousal) design. Results show that arousal was preferentially processed by middle temporal gyrus, hippocampus and ventrolateral prefrontal cortex. Regions responding to negative valence included visual and lateral prefrontal regions, positive valence activated middle temporal and orbitofrontal areas. Importantly, distinct arousal-by-valence interactions were present in anterior insula (negative pictures), and in occipital cortex, parahippocampal gyrus and posterior cingulate (positive pictures). These data demonstrate that the brain not only differentiates between valence and arousal but also responds to specific combinations of these two, thereby highlighting the sophisticated nature of emotion processing in (female) human subjects.
  Brain and Cognition 09/2009; 71(3):387-96. · 3.17 Impact Factor
• Source

  Available from: H.m. Huizenga

  Article: Simultaneous MEG and EEG source analysis

  H.M. Huizenga, T. L. Van Zuijen, D. J. Heslenfeld, P.C.M. Molenaar
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  ABSTRACT: Introduction A method is described to jointly estimate source and head parameters in a simultaneous MEG and EEG analysis. This simultaneous analysis would be very beneficial if it can be shown that it profits from the advantages of both modalities [e.g. 1]. First, the highest spatial gradients, and thus the preferred directions, differ between MEG and EEG. It is expected that both directions are precise in a simultaneous analysis. Second, deep sources hardly generate a MEG signal. Therefore source precision deteriorates fast with depth. It is expected that this disadvantage is countered in a simultaneous analysis. Third, the precision of superficial sources is higher for MEG than for EEG. It is expected that a simultaneous analysis profits from this advantage. Fourth, the radial component of a dipole cannot be estimated from MEG. It is expected that this component can be estimated reliably in a simultaneous analysis. Fifth, EEG requires accurate information concerning the radii and c
  12/2001;
• Source

  Available from: H.m. Huizenga

  Article: Optimal design for EEG/MEG source analysis

  H.M. Huizenga, D. J. Heslenfeld, P.C.M. Molenaar
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  ABSTRACT: this paper we describe this so-called optimal design technique [1]. In addition, we report a simulation study on its validity and merits, and we report an empirical illustration
  12/2001;
• Article: Simultaneous MEG and EEG source analysis.

  H M Huizenga, T L van Zuijen, D J Heslenfeld, P C Molenaar
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  ABSTRACT: A method is described to derive source and conductivity estimates in a simultaneous MEG and EEG source analysis. In addition the covariance matrix of the estimates is derived. Simulation studies with a concentric spheres model and a more realistic boundary element model indicate that this method has several advantages, even if only a few EEG sensors are added to a MEG configuration. First, a simultaneous analysis profits from the 'preferred' location directions of MEG and EEG. Second, deep sources can be estimated quite accurately, which is an advantage compared to MEG. Third, superficial sources profit from accurate MEG location and from accurate EEG moment. Fourth, the radial source component can be estimated, which is an advantage compared to MEG. Fifth, the conductivities can be estimated. It is shown that conductivity estimation gives a substantial increase in precision, even if the conductivities are not identified appropriately. An illustrative analysis of empirical data supports these findings.
  Physics in Medicine and Biology 08/2001; 46(7):1737-51. · 2.83 Impact Factor
• Article: Feature processing and attention in the human visual system: an overview.

  D J Heslenfeld, J L Kenemans, A Kok, P C Molenaar
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  ABSTRACT: A recent development in the cognitive modelling of visual selective attention is the incorporation of design principles derived from the neuroanatomy and neurophysiology of the primate visual system. In this paper, we describe these recent 'neurocognitive' models in more detail, point out the underlying neurobiological principles, and show that in all cases attention is implemented as an energetical resource which can be directed to representations and pathways in the system. In the second part of the paper, we specify the predictions derived from this 'energy hypothesis', and evaluate available data pertaining to this issue. We present new analyses of electrophysiological data in order to directly test the hypothesis that attention modulates feature-specific representations. It will be shown that in the case of sustained spatial attention, the data are in agreement with this hypothesis, whereas in the case of nonspatial attention, there is no evidence of a modulation of feature-specific pathways by attention.
  Biological Psychology 04/1997; 45(1-3):183-215. · 3.22 Impact Factor
• Article: Feature processing and attention in the human visual sys-tem: An overview

  D. J. Heslenfeld, J.L. Kenemans, A Kok, P.C.M. Molenaar
• Article: Brain mechanisms of feature processing

  D. J. Heslenfeld, J.L. Kenemans, A Kok, P.C.M. Molenaar
• Article: Distinct brain systems underlie the processing of valence and arousal of affective pictures

  M.M.A. Nielen, D.J. Heslenfeld, K. Heinen, J.W. Van Strien, M.P. Witter, C. Jonker, D.J. Veltman
  [show abstract] [hide abstract]
  ABSTRACT: Valence and arousal are thought to be the primary dimensions of human emotion. However, the degree to which valence and arousal interact in determining brain responses to emotional pictures is still elusive. This functional MRI study aimed to delineate neural systems responding to valence and arousal, and their interaction. We measured neural activation in healthy females (N = 23) to affective pictures using a 2 (Valence) × 2 (Arousal) design. Results show that arousal was preferentially processed by middle temporal gyrus, hippocampus and ventrolateral prefrontal cortex. Regions responding to negative valence included visual and lateral prefrontal regions, positive valence activated middle temporal and orbitofrontal areas. Importantly, distinct arousal-by-valence interactions were present in anterior insula (negative pictures), and in occipital cortex, parahippocampal gyrus and posterior cingulate (positive pictures). These data demonstrate that the brain not only differentiates between valence and arousal but also responds to specific combinations of these two, thereby highlighting the sophisticated nature of emotion processing in (female) human subjects.
  Brain and Cognition.
• Article: Feature processing and attention in the human visual system: an overview

  D.J. Heslenfeld, J.L. Kenemans, A. Kok, P.C.M. Molenaar
  [show abstract] [hide abstract]
  ABSTRACT: A recent development in the cognitive modelling of visual selective attention is the incorporation of design principles derived from the neuroanatomy and neurophysiology of the primate visual system. In this paper, we describe these recent ‘neurocognitive’ models in more detail, point out the underlying neurobiological principles, and show that in all cases attention is implemented as an energetical resource which can be directed to representations and pathways in the system. In the second part of the paper, we specify the predictions derived from this ‘energy hypothesis’, and evaluate available data pertaining to this issue. We present new analyses of electrophysiological data in order to directly test the hypothesis that attention modulates feature-specific representations. It will be shown that in the case of sustained spatial attention, the data are in agreement with this hypothesis, whereas in the case of nonspatial attention, there is no evidence of a modulation of feature-specific pathways by attention.
  Biological Psychology.