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- All Subjects: Biomedical Engineering
- Creators: Greger, Bradley
- Member of: Theses and Dissertations
From previous research, it has been observed that neural summation can be observed from reaction time tasks. This is observed through race models, as proposed by J.O. Miller. These models are referred to as “race models” as different stimuli “race” to extract a response during tasks. The race model is augmented by the Race Model Inequality, which claims the probability that two simultaneous signals will have a faster reaction time than the summation of the probabilities of two individual signals. When this inequality expression is violated, it indicates neural summation is occurring. In another study, researchers studied how the location of visual stimuli influences neural summation with tactile information, observing the visual stimuli from different distances and a mirrored reflection condition. However, results of the mirror condition did not follow the other visual conditions, offering unique properties. The mirrored case is examined more closely in this project, attempting to answer if the presence of a mirrored representation of the hand will affect reaction time during timed tasks, suggesting the occurrence of neural summation, and suggesting that a mirrored reflection of self is interpreted as an independent channel of information. This was measured by evaluating participants’ response time while manipulating the presence of a reflection and checking if they violate the race model. However, the results of this study indicated that the presence of a mirror does not have an effect in reaction time and therefore did not present the occurrence of neural summation
The most widely used technique for brain functional imaging is functional Magnetic Resonance Image (fMRI). The spatial resolution of fMRI is high. However, fMRI signals are highly influenced by the vasculature in each voxel and can be affected by capillary orientation and vessel size. Functional MRI analysis may, therefore, produce misleading results when voxels are nearby large vessels. Another problem in fMRI is that hemodynamic responses are slower than the neuronal activity. Therefore, temporal resolution is limited in fMRI. Furthermore, the correlation between neural activity and the hemodynamic response is not fully understood. fMRI can only be considered an indirect method of functional brain imaging.
Another MR-based method of functional brain mapping is neuronal current magnetic resonance imaging (ncMRI), which has been studied over several years. However, the amplitude of these neuronal current signals is an order of magnitude smaller than the physiological noise. Works on ncMRI include simulation, phantom experiments, and studies in tissue including isolated ganglia, optic nerves, and human brains. However, ncMRI development has been hampered due to the extremely small signal amplitude, as well as the presence of confounding signals from hemodynamic changes and other physiological noise.
Magnetic Resonance Electrical Impedance Tomography (MREIT) methods could have the potential for the detection of neuronal activity. In this technique, small external currents are applied to a body during MR scans. This current flow produces a magnetic field as well as an electric field. The altered magnetic flux density along the main magnetic field direction caused by this current flow can be obtained from phase images. When there is neural activity, the conductivity of the neural cell membrane changes and the current paths around the neurons change consequently. Neural spiking activity during external current injection, therefore, causes differential phase accumulation in MR data. Statistical analysis methods can be used to identify neuronal-current-induced magnetic field changes.