Why using “consciousness” in psychotherapy? Insight, metacognition and self-consciousness

Martin, Sylvia

doi:10.1016/j.newideapsych.2023.101015

Cited by 2 publications

(2 citation statements)

References 108 publications

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Section: Cognitive Tests In Mental Disorder Diagnosismentioning

confidence: 99%

“…Recent research has highlighted the significance of self-awareness in the treatment of psychiatric disorders, such as schizophrenia, BD and BPD [57][58][59][60]. One Study (Martin, 2023) emphasizes incorporating clinical and cognitive measures in psychotherapy [57]. Identifying key pathological personality traits and/or symptoms associated with psychotic features in BPD and BD, a study found shared predictors like detachment, negative affectivity, psychoticism, depressiveness, grandiosity, suspiciousness, and interpersonal sensitivity symptoms.…”

Section: Cognitive Tests In Mental Disorder Diagnosismentioning

confidence: 99%

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A machine learning approach for differentiating bipolar disorder type II and borderline personality disorder using electroencephalography and cognitive abnormalities

Nazari,

Shalbafan,

Eissazade

et al. 2024

PLoS ONE

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This study addresses the challenge of differentiating between bipolar disorder II (BD II) and borderline personality disorder (BPD), which is complicated by overlapping symptoms. To overcome this, a multimodal machine learning approach was employed, incorporating both electroencephalography (EEG) patterns and cognitive abnormalities for enhanced classification. Data were collected from 45 participants, including 20 with BD II and 25 with BPD. Analysis involved utilizing EEG signals and cognitive tests, specifically the Wisconsin Card Sorting Test and Integrated Cognitive Assessment. The k-nearest neighbors (KNN) algorithm achieved a balanced accuracy of 93%, with EEG features proving to be crucial, while cognitive features had a lesser impact. Despite the strengths, such as diverse model usage, it’s important to note limitations, including a small sample size and reliance on DSM diagnoses. The study suggests that future research should explore multimodal data integration and employ advanced techniques to improve classification accuracy and gain a better understanding of the neurobiological distinctions between BD II and BPD.

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Section: Cognitive Tests In Mental Disorder Diagnosismentioning

confidence: 99%

Section: Cognitive Tests In Mental Disorder Diagnosismentioning

confidence: 99%

A machine learning approach for differentiating bipolar disorder type II and borderline personality disorder using electroencephalography and cognitive abnormalities

Nazari,

Shalbafan,

Eissazade

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

show abstract

Insights into conscious cognitive information processing

Dere

2024

Front. Behav. Neurosci.

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For over a century, the neuro- and pathophysiological, behavioral, and cognitive correlates of consciousness have been an active field of theoretical considerations and empirical research in a wide range of modern disciplines. Conscious cognitive processing of information cannot be observed directly, but might be inferred from step-like discontinuities in learning performance or sudden insight-based improvements in problem solving behavior. It is assumed that a sudden step of knowledge associated with insight requires a creative reorganization of mental representations of task- or problem-relevant information and the restructuration of the task, respectively problem to overcome an cognitive dead-end or impasse. Discontinuities in learning performance or problem solving after an insight event can be used as time-tags to capture the time window in which conscious cognitive information processing must have taken place. According to the platform theory of conscious cognitive information processing, the reorganization and restructuration processes, require the maintenance of task- or problem-relevant information in working memory for the operation of executive functions on these mental representations. Electrophysiological evidence suggests that the reorganization and restructuration processes in working memory, that precede insight-based problem solutions are accompanied by an increase in the power of gamma oscillations in cortical areas including the prefrontal cortex. Empirical evidence and theoretical assumptions argue for an involvement of gap junction channels and connexin hemichannels in cortical gamma-oscillations and working memory processes. Discontinuities in learning or problem solving performance might be used as time-tags to investigate the implication of gap junction channels and hemichannels in conscious cognitive processing.

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Why using “consciousness” in psychotherapy? Insight, metacognition and self-consciousness

Cited by 2 publications

References 108 publications

A machine learning approach for differentiating bipolar disorder type II and borderline personality disorder using electroencephalography and cognitive abnormalities

A machine learning approach for differentiating bipolar disorder type II and borderline personality disorder using electroencephalography and cognitive abnormalities

Insights into conscious cognitive information processing

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