ORCID Profile
0000-0001-6162-9812
Current Organisation
Western Sydney Local Health District
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Publisher: Informa UK Limited
Date: 02-10-2018
Publisher: Informa UK Limited
Date: 26-05-2020
Publisher: SAGE Publications
Date: 29-10-2023
Publisher: John Benjamins Publishing Company
Date: 06-04-2022
Abstract: In this paper an understanding of psychotherapeutic conversation is outlined emphasising whole-body functioning. The underpinning of conversation by both Central and Autonomic Nervous Systems (CNS & ANS) and evolutionary developments that support social engagement and language are considered. An idea will be taken up that for psychotherapy, language needs to be understood within each patient as more than meets the eye, rather than less, providing a potential for exchanges in the therapeutic conversation that enhance the growth of self for each in idual. The notion of culminative patterns of communicative interaction speaks to this growth and the enhancement of a sense of meaning in personal contexts. This goes beyond an analytic approach, implying synthesis, integration and growing coherence over time. Human development is towards social engagement, building upon a capacity for relations that are rewarding to the parties involved ( Meares 2016 ). The problem of responding to embodied communication in psychotherapy is considered in relation to moments of meeting, seen as mutative in therapy. Each person is an embodied text with potential for elaboration, re-shaping and discovery. Clinical illustrations are provided, demonstrating a linguistic model of therapeutic growth and an experimental method that provides a window onto the exchange characteristics of language. To close, the problem of systematising embodiment and its relation to the conversation is considered, along with the implications for therapy and future research, integrating linguistics and interactive functional measures of the body.
Publisher: Cold Spring Harbor Laboratory
Date: 23-09-2022
DOI: 10.1101/2022.09.23.509191
Abstract: Traditional approaches to EEG modelling use the methods of classical physics to reconstruct scalp potentials i n terms of explicit physical models of cortical neuron ensembles. The principal difficulty is that the multiplicity of cellular processes with an intricate array of deterministic and random factors prevents creation of consistent biophysical parameter sets. An original, empirically-testable solution has been recently achieved in our previous studies by a radical departure from the deterministic equations of classical physics to the probabilistic reasoning of quantum mechanics. This crucial step relocates elementary bioelectric sources of EEG signals from the cellular to the molecular level where positively and negatively ions are considered as elementary sources of electricity. The rationale is that despite dramatic differences in cellular machineries, statistical factors governed by the rules of central limit theorem produce EEG waveforms as a statistical aggregate of the synchronized activity of multiple closely-located microscale sources. Using the formalism of nonhomogeneous birth-and-death processes (BDP) the quantum models of microscale events are deduced and linked to the dynamics of macroscale EEG waveforms. This study expands these methods with new features for comprehensive analysis of event related potentials directly from single trials, i.e. the EEG segments which are closely related in timing to cognitive events. We derive a universal model of the components of single trial ERPs both in frequency and time domains. This, for the first time, enables us to quantify all significant cognitive components in single trial ERPs, providing an alternative to the traditional method of averaging. Given P300 as an important objective marker of psychiatric disorders, a methodology which reliably discloses the component compositions of this potential, may have specific diagnostic importance. In this study, reliable identification of the P3a and P3b components from an auditory oddball paradigm provided a means of differentiating borderline personality disorder from schizophrenia.
No related grants have been discovered for Anthony Korner.