Matsumoto A, Brinkmann BH, Stead SM, Matsumoto J, Kucewicz MT, Marsh WR, Meyer F, Worrell G. Pathological and physiological high-frequency oscillations in focal human epilepsy. J Neurophysiol 110: 1958 -1964. First published August 7, 2013 doi:10.1152/jn.00341.2013.-High-frequency oscillations (HFO; gamma: 40 -100 Hz, ripples: 100 -200 Hz, and fast ripples: 250 -500 Hz) have been widely studied in health and disease. These phenomena may serve as biomarkers for epileptic brain; however, a means of differentiating between pathological and normal physiological HFO is essential. We categorized task-induced physiological HFO during periods of HFO induced by a visual or motor task by measuring frequency, duration, and spectral amplitude of each event in single trial time-frequency spectra and compared them to pathological HFO similarly measured. Pathological HFO had higher mean spectral amplitude, longer mean duration, and lower mean frequency than physiological-induced HFO. In individual patients, support vector machine analysis correctly classified pathological HFO with sensitivities ranging from 70 -98% and specificities Ͼ90% in all but one patient. In this patient, infrequent high-amplitude HFO were observed in the motor cortex just before movement onset in the motor task. This finding raises the possibility that in epileptic brain physiological-induced gamma can assume higher spectral amplitudes similar to those seen in pathologic HFO. This method if automated and validated could provide a step towards differentiating physiological HFO from pathological HFO and improving localization of epileptogenic brain.high-frequency oscillations; epilepsy; gamma oscillations HIGH-FREQUENCY OSCILLATIONS (HFO) have been widely studied in animals and humans and linked to brain function in health and disease (Buzsaki and Silva 2012). Physiological highfrequency gamma oscillations (gamma: ϳ40 -100 Hz) are believed to coordinate cortical processing during vision (Gray and Singer 1989), motor, and language functions (Crone et al. 2011). Physiological hippocampal high-frequency oscillations (ripples: 100 -200 Hz) are thought to play an important role in memory functions (Buzsaki et al. 1992).Pathological HFO (pHFO) were initially observed in hippocampal recordings from epileptic rats and thought to be a specific electrophysiological biomarker of epileptic tissue (Bragin et al. 1999b). The pHFO observed in epileptic rats included fast ripples (250 -500 Hz) that colocalize to the epileptic hippocampus-generating seizures in rats (Bragin 1999b(Bragin , 2002 and humans (Bragin 1999a). In addition, ripple HFO were observed in the hippocampal dentate gyrus of epileptic rats but not in control rats and were therefore considered pHFO (Bragin 2002). The cellular correlates of normal physiological hippocampal ripples were shown to be inhibitory postsynaptic potentials (Ylinen et. al. 1995) and pathological fast ripples were shown to be synchronous population firing of large groups of pyramidal cells and decreased inhibitory interneuron firin...
People often forget information because they fail to effectively encode it. Here, we test the hypothesis that targeted electrical stimulation can modulate neural encoding states and subsequent memory outcomes. Using recordings from neurosurgical epilepsy patients with intracranially implanted electrodes, we trained multivariate classifiers to discriminate spectral activity during learning that predicted remembering from forgetting, then decoded neural activity in later sessions in which we applied stimulation during learning. Stimulation increased encoding-state estimates and recall if delivered when the classifier indicated low encoding efficiency but had the reverse effect if stimulation was delivered when the classifier indicated high encoding efficiency. Higher encoding-state estimates from stimulation were associated with greater evidence of neural activity linked to contextual memory encoding. In identifying the conditions under which stimulation modulates memory, the data suggest strategies for therapeutically treating memory dysfunction.
Memory failures are frustrating and often the result of ineffective encoding. One approach to improving memory outcomes is through direct modulation of brain activity with electrical stimulation. Previous efforts, however, have reported inconsistent effects when using open-loop stimulation and often target the hippocampus and medial temporal lobes. Here we use a closed-loop system to monitor and decode neural activity from direct brain recordings in humans. We apply targeted stimulation to lateral temporal cortex and report that this stimulation rescues periods of poor memory encoding. This system also improves later recall, revealing that the lateral temporal cortex is a reliable target for memory enhancement. Taken together, our results suggest that such systems may provide a therapeutic approach for treating memory dysfunction.
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