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Journal of Neuroscience Methods

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  1. Assessing spatial vision - automated measurement of the contrast-sensitivity function in the hooded rat.

    Journal of Neuroscience Methods 97(2):103 (2000) PMID 10788664

    We therefore designed an economical and rapid method to assess the hooded rat's CSF, using a computer monitor to display stimuli and an infrared touch screen to record responses. A six-alternative forced-choice task presented trials in which a sine-wave grating (S+), varying in spatial frequency and...
  2. Independent component analyses for quantifying neuronal ensemble interactions.

    Journal of Neuroscience Methods 94(1):141 (1999) PMID 10638821

    We describe applications of principal component analysis (PCA) and independent component analysis (ICA) (Cardoso J-F, Souloumiac A. IEE-Proc F 1993;140:362-70; Hyvarinen A, Oja E. Neural Comput 1997;9:1483-92; Lee TW, Girolami M, Sejnowski TJ. Neural Comp 1999;11:417-41) to neuronal ensemble data. S...
  3. A simple analytical method for determining the steady-state potential in models of geometrically complex neurons.

    Journal of Neuroscience Methods 82(2):123 (1998) PMID 9700684

    A method is presented for solving the cable equation for a spiking neuron below firing threshold or a nonspiking neuron of arbitrary geometry under constant stimulation. The neuron structure is considered as a tree composed of a set of cylinder cables of three types (terminal, intermediate and branc...
  4. Multi-trial evoked EEG and independent component analysis.

    Journal of Neuroscience Methods 228:15 (2014) PMID 24631321

    We investigate the use of ICA on evoked multi-trial non-stationary EEG data. We show that the multi-trial data do not fulfill the assumption of the independence of the hidden components. This discrepancy questions the use of ICA in analyzing evoked EEG. To overcome the problem with the independence...
  5. Validation of the isotropic fractionator: Comparison with unbiased stereology and DNA extraction for quantification of glial cells

    Journal of Neuroscience Methods 222:165 (2014) PMID 24239779 PMCID PMC3904371

    We validate the notion of a 1:1 ratio of glial cells to neurons in the human brain. • We support claims that a human brain contains less than 100billion glial cells. • The isot...
  6. Automated interhemispheric surface extraction in T1-weighted MRI using intensity and symmetry information

    Journal of Neuroscience Methods 222:97 (2014) PMID 24239903

    Highlights • The whole head is divided with a max-flow/min-cut optimized surface. • Both intensity and symmetry information is used for the surface optimizat...
  7. Machine learning on brain MRI data for differential diagnosis of Parkinson's disease and Progressive Supranuclear Palsy

    Journal of Neuroscience Methods 222:230 (2014) PMID 24286700

    • The algorithm allows individual differential diagnosis of PD and PSP by means of MR images. • The algorithm does not require a priori hypotheses of where useful info...
  8. The measurement of visual sampling during real-world activity in Parkinson's disease and healthy controls: A structured literature review

    Journal of Neuroscience Methods 222:175 (2014) PMID 24291711

    • Techniques for objective measurement of visual sampling lack consistency. • Reliability and validity of instruments has not been yet established....
  9. Assessing EEG sleep spindle propagation. Part 2: experimental characterization.

    Journal of Neuroscience Methods 221:215 (2014) PMID 23999173

    This communication is the second of a two-part series that describes and tests a new methodology for assessing the propagation of EEG sleep spindles. Whereas the first part describes the methodology in detail, this part proposes a thorough evaluation of the approach by applying it to a sample of lab...
  10. A comparison of three brain atlases for MCI prediction.

    Journal of Neuroscience Methods 221:139 (2014) PMID 24140118

    Although previous voxel-based studies using features extracted by atlas-based parcellation produced relatively poor performances on the prediction of Alzheimer's disease (AD) in subjects with mild cognitive impairment (MCI), classification performance usually depends on features extracted from the o...