Magnetoencephalography (MEG) determined temporal modulation of visual and auditory sensory processing in the context of classical conditioning to faces

Using magnetoencephalography (MEG), we determined the time course of sensory-evoked modulations during differential aversive conditioning to faces, with an aversive noise event (UCS). Conditioning was associated with the development of a differential event-related waveform peaking at approximately 150 ms. Source analysis indicated the localization of this modulation to ventral occipital regions. In the auditory domain, a modulation of auditory-evoked responses to a probe sound was evident in a late component emerging at approximately 180 ms over sensors in fronto-temporal regions. The findings indicate the time course in processing sensory stimuli can be altered on the basis of their acquired value.

Causal visual interactions as revealed by an information theoretic measure and fMRI

In the present study, we evaluated the direction of the effective connectivity between fMRI activations in neural structures mediating preserved visual function in a patient with homonymous hemianopsia due to a posterior cerebral artery stroke. Although the lesion affected the primary visual cortex, the visual abilities of this patient included above-chance verbal reports of movement and color change as well as the discrimination of movement direction in his hemianopic field. These abilities were coupled with awareness (Riddoch syndrome). The strength and the direction of the interactions between visual regions were assessed by applying directed transinformation (T), a nonparametric information theoretic causal measure sensitive to linear as well as to nonlinear interactions. In the healthy hemisphere, T identified a strong flow of information from visual area V1 to V5 during stimulation by visual movement and from V1 to V4/V8 during stimulation by color change. In addition, during color change stimulation, a bi-directional flow was observed between V4/V8 and V5, suggesting crosstalk between these regions. In the lesioned hemisphere, the color change stimulation evoked a stronger flow from V5 to V4/V8 and a flow from V4/V8 to V2. These observations provide support for the hypothesis that visual information is mediated via subcortical pathways that bypass V1 and project first to higher-tier visual areas V5 and V4/V8 then subsequently to lower-tier area V2.

Quantile estimation to derive optimized test thresholds for random field statistics

We present a numerical method to estimate the true threshold values in random fields needed to determine the significance of apparent signals observed in noisy images. To accomplish this, a quantile estimation algorithm is applied to derive the threshold with a predefined confidence interval from a large number of simulated random fields. Also, a computationally efficient method for generating a random field simulation is presented using resampling techniques. Applying these techniques, thresholds have been determined for a large variety of parameter settings (smoothness, voxel size, brain shape, type of statistics). By means of interpolation techniques, thresholds for additional arbitrary settings can be quickly derived without the need to run individual simulations. Compared to the parametric approach of Worsley et al. (1996) (Worsley, K.J., Marrett, S., Neelin P., Vandal, A.C., Friston, K.J., Evans, A.C., 1996. A unified statistical approach for determining significant signals in images of cerebral activation. Hum. Brain Mapp. 4, 58-73) and Friston et al. (1991) (Friston, K.J., Frith, C.D., Liddle, P.F., Frackowiak, R.S. 1991. Comparing functional (PET) images: the assessment of significant change. J. Cereb. Blood Flow Metab. 11(4), 690-699), and to the Bonferroni approach, these optimized thresholds lead to higher levels of significance (i.e., lower p values) with a specific amount of activation especially with fields of moderate smoothness (i.e., with a relative full width half maximum between 2 and 6). Alternatively, the threshold for a specified level of significance can be lowered. This improved statistical sensitivity is illustrated by the analysis of an actual event related functional magnetic resonance data set, and its limitations are tested by determining the false positive rate with experimental MR noise data. The grid of estimated threshold values as well as the interpolation algorithm to derive thresholds for arbitrary parameter settings are made available over the internet (http://neuro2.med.uni-magdeburg.de/quantile_estimation).

Brain potentials and behavioral responses associated with attention to hard- and easy-to-discriminate passive knee joint movements

We investigated event-related brain potentials (ERPs) to passive ramp movements of the knee joint. The knee movements were either attended or unattended and were either very easy or very hard to detect. We used special methods to ensure that movement only activated muscle spindle and joint receptors. The first movement-related ERP started 20 ms after movement onset, and had a contralateral maximum. This initial ERP did not differ as a function of attention and movement discriminability. Signal detection analysis of the behavioral data suggested that hard-to-detect movements could be discriminated above chance level, but were not reported because of a decision bias. At 60-100 ms, an ERP was observed that discriminated detected from undetected hard-to-detect movements. Starting at 80 ms, we found an ERP that was unique to movements that were attended and easy to detect. We discuss that (1) the initial ERP reflects activation of preconscious sensory processors, (2) the second ERP may reflect detection that fails to attract attention, and (3) the third ERP reflects active focusing of attention on the movement.