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Janssen, M. L.

Publications and source records attributed to Janssen, M. L..

2 recordsLinked to original sources

Parallel EEG assessment of different sound predictability levels in tinnitus

ObjectiveTinnitus denotes perception of a non-environmental sound and might result from aberrant auditory prediction. Successful prediction of formal (e.g. type) and temporal sound characteristics facilitates the filtering of irrelevant information ("sensory gating", SG). Here, we explored if and how parallel manipulations of formal and temporal predictability affect sensory gating in persons with and without tinnitus. MethodsAge-, education- and sex-matched persons with and without tinnitus (N = 52) participated and listened to paired-tone "oddball" sequences, varying in formal (standard vs. deviant pitch) and temporal predictability (isochronous vs. random timing). EEG was recorded from 128 channels and data were analyzed by means of temporal spatial principal component analysis (tsPCA). ResultsSG was observed in P50- and N100-like activity (amplitude suppression for the 2nd tone in the pair) in both timing conditions and groups. Correspondingly, deviants elicited overall larger amplitudes than standards. However, only in persons without tinnitus N100-like activity in response to deviants was enhanced with isochronous relative to random timing. ConclusionsPersons with tinnitus do not benefit similarly as persons without tinnitus from temporally predictable context in deviance processing. SignificanceThe current results indicate altered temporal sensitivity and selective attention allocation in persons with tinnitus. Highlights- Persons with tinnitus display altered auditory predictions affecting the processing of unexpected auditory input - Position predictions did not differ between persons with tinnitus and without - Temporal predictability facilitated deviance processing for P50-like activity in persons with tinnitus and without

neuroscience↗

Decoding Arbitrary and Informed Decisions from Intracranial Recordings in Humans

Ideally, decisions are made based on prior knowledge, which allows for informed choices. Real life, however, often requires us to make decisions arbitrarily, without sufficient information. Decoding decision making processes from neural activity could allow for cognitive neuroprostheses and Brain-Computer Interfaces (BCIs) to support decision processes in rapid human-machine interactions, weigh decision-making confidence, and further enable neuromodulation protocols for the treatment of reward-related dysfunctions. To understand the differences between the decision-making processes in arbitrary and informed decisions, we recorded intracranial electroencephalography in a large number of cortical and subcortical areas from 5 patients during a categorization task. We demonstrate that individual decisions can be decoded from Local Field Potentials (LFPs) before motor response, in both arbitrary and informed conditions. Our analysis revealed dissimilar spatio-temporal patterns between arbitrary and informed decision-making, with arbitrary decisions being decodable in fewer brain regions and earlier in time compared to informed decisions.

neuroscience↗