Browsing by Author "Pajevic, Sinisa"
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Publication Identifying transcranial magnetic stimulation induced EEG signatures of different neuronal elements in primary motor cortex(2022) Ni, Zhen; Pajevic, Sinisa; Chen, Li; Leodori, Giorgio; Vial Undurraga, Felipe; Avram, Alexandru V.; Zhang, Yong; Mc Gurrin, Patrick; Cohen, Leonardo G.; Basser, Peter J.; Hallett, MarkObjective: To investigate the neuronal elements involved in the activation of corticospinal neurons in the primary motor cortex (M1). Methods: We studied 10 healthy subjects. Cortical evoked potentials with different components induced by monophasic transcranial magnetic stimulation (TMS) in anterior-posterior and posterior-anterior currents recorded with electroencephalography (EEG) were analyzed. Results: EEG signatures with P25 and N45 components recorded at the C3 electrode with posterior-anterior current were larger than those with anterior-posterior current, while the signatures with P180 and N280 components recorded at the FC1 electrode with anterior-posterior current were larger than those with posterior-anterior current. The source localization analysis revealed that the cortical evoked potential with anterior-posterior current distributed both in the M1 and premotor cortex while that with posterior-anterior current only located in the M1. Conclusions: We conclude that the activation of corticospinal pyramidal neurons in the M1 is affected by various neuronal elements including the local intracortical circuits in the M1 and inputs from premotor cortex with different sensitivities to TMS in opposite current directions. Significance: Our finding helped answer a longstanding question about how the corticospinal pathway from the M1 is functionally organized and activated.Item Measuring conduction velocity distributions in peripheral nerves using neurophysiological techniques(2020) Ni, Zhen; Vial Undurraga, Felipe; V. Avram, Alexandru; Leodori, Giorgio; Pajevic, Sinisa; J. Basser, Peter; Hallett, MarkObjective: To determine how long it takes for neural impulses to travel along peripheral nerve fibers in living humans. Methods: A collision test was performed to measure the conduction velocity distribution of the ulnar nerve. Two stimuli at the distal and proximal sites were used to produce the collision. Compound muscle or nerve action potentials were recorded to perform the measurements on the motor or mixed nerve, respectively. Interstimulus interval was set at 1–5 ms. A quadri-pulse technique was used to measure the refractory period and calibrate the conduction time. Results: Compound muscle action potential produced by the proximal stimulation started to emerge at the interstimulus interval of about 1.5 ms and increased with the increment in interstimulus interval. Two groups of motor nerve fibers with different conduction velocities were identified. The mixed nerve showed a wider conduction velocity distribution with identification of more subgroups of nerve fibers than the motor nerve. Conclusions: The conduction velocity distributions in high resolution on a peripheral motor and mixed nerve are different and this can be measured with the collision test. Significance: We provided ground truth data to verify the neuroimaging pipelines for the measurements of latency connectome in the peripheral nervous system.Item Measuring latency distribution of transcallosal fibers using transcranial magnetic stimulation(2020) Ni, Zhen; Leodori, Giorgio; Vial Undurraga, Felipe; Zhang, Yong; V. Avram, Alexandru; Pajevic, Sinisa; J. Basser, Peter; Hallett, MarkBackground: Neuroimaging technology is being developed to enable non-invasive mapping of the latency distribution of cortical projection pathways in white matter, and correlative clinical neurophysiological techniques would be valuable for mutual verification. Interhemispheric interaction through the corpus callosum can be measured with interhemispheric facilitation and inhibition using transcranial magnetic stimulation. Objective: To develop a method for determining the latency distribution of the transcallosal fibers with transcranial magnetic stimulation. Methods: We measured the precise time courses of interhemispheric facilitation and inhibition with a conditioning-test paired-pulse magnetic stimulation paradigm. The conditioning stimulus was applied to the right primary motor cortex and the test stimulus was applied to the left primary motor cortex. The interstimulus interval was set at 0.1 ms resolution. The proportions of transcallosal fibers with different conduction velocities were calculated by measuring the changes in magnitudes of interhemispheric facilitation and inhibition with interstimulus interval. Results: Both interhemispheric facilitation and inhibition increased with increment in interstimulus interval. The magnitude of interhemispheric facilitation was correlated with that of interhemispheric inhibition. The latency distribution of transcallosal fibers measured with interhemispheric facilitation was also correlated with that measured with interhemispheric inhibition. Conclusions: The data can be interpreted as latency distribution of transcallosal fibers. Interhemispheric interaction measured with transcranial magnetic stimulation is a promising technique to determine the latency distribution of the transcallosal fibers. Similar techniques could be developed for other cortical pathways.