Kyle S. Minor

Dr. Kyle S. Minor


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2020 in Schizophrenia Research
Verified
Journal Article
Closed access
BDBeshaun J. Davis
Beshaun J. Davis
PLPaul H. Lysaker
Paul H. Lysaker
MSMichelle P. Salyers
Michelle P. Salyers
KMKyle S. Minor
Kyle S. Minor

1 May 2015 in Journal of Psychiatric Research
Verified
Journal Article
Closed access
KMKyle S. Minor
Kyle S. Minor
KBKelsey A. Bonfils
Kelsey A. Bonfils
LLLauren Luther
Lauren Luther
RFRuth L. Firmin
Ruth L. Firmin
MKMarina Kukla
Marina Kukla
MSMichelle P. Salyers
Michelle P. Salyers

23 March 2020 in European Psychiatry
Verified
Journal Article
Open access
PDF file
MMMatthew P. Marggraf
Matthew P. Marggraf
PLPaul H. Lysaker
Paul H. Lysaker
MSMichelle P. Salyers
Michelle P. Salyers
KMKyle S. Minor
Kyle S. Minor
Background.: Formal thought disorder (FTD) and social functioning impairments are core symptoms of schizophrenia. Although both have been observed for over a century, the strength of the relationship between FTD and social functioning remains unclear. Furthermore, a variety of methodological approaches have been used to assess these constructs—which may contribute to inconsistency in reported associations. This meta-analysis aimed to: (a) systematically test the relationship between FTD and social functioning and (b) determine if the methodology used to assess FTD and/or social functioning moderates this relationship. Methods.: Following Preferred Reporting Items for Systematic reviews and Meta-analyses (PRISMA) guidelines, a targeted literature search was conducted on studies examining the relationship between FTD and social functioning. Correlations were extracted and used to calculate weighted mean effect sizes using a random effects model. Results.: A total of 1,478 participants across 13 unique studies were included in this meta-analysis. A small-medium inverse association (r = −0.23, p < 0.001) was observed between FTD and social functioning. Although heterogeneity analyses produced a significant Q-statistic (Q = 52.77, p = <0.001), the relationship between FTD and social functioning was not moderated by methodology, study quality, demographic variables, or clinical factors. Conclusions.: Findings illustrate a negative association between FTD and social functioning. Despite differences in the methodological approach used and type of information assessed, measurement type and clinical factors did not moderate the relationship between FTD and social functioning. Future studies should explore whether other variables, such as cognitive processes (e.g., social cognition), may account for variability in associations between these constructs.

25 April 2018 in Psychological Medicine
Verified
Journal Article
Closed access
PDF file
KMKyle S. Minor
Kyle S. Minor
JWJ. A. Willits
J. A. Willits
MMM. P. Marggraf
M. P. Marggraf
MJM. N. Jones
M. N. Jones
PLP. H. Lysaker
P. H. Lysaker
Background: Conveying information cohesively is an essential element of communication that is disrupted in schizophrenia. These disruptions are typically expressed through disorganized symptoms, which have been linked to neurocognitive, social cognitive, and metacognitive deficits. Automated analysis can objectively assess disorganization within sentences, between sentences, and across paragraphs by comparing explicit communication to a large text corpus.Method: Little work in schizophrenia has tested: (1) links between disorganized symptoms measured via automated analysis and neurocognition, social cognition, or metacognition; and (2) if automated analysis explains incremental variance in cognitive processes beyond clinician-rated scales. Disorganization was measured in schizophrenia (n = 81) with Coh-Metrix 3.0, an automated program that calculates basic and complex language indices. Trained staff also assessed neurocognition, social cognition, metacognition, and clinician-rated disorganization.Results: Findings showed that all three cognitive processes were significantly associated with at least one automated index of disorganization. When automated analysis was compared with a clinician-rated scale, it accounted for significant variance in neurocognition and metacognition beyond the clinician-rated measure. When combined, these two methods explained 28–31% of the variance in neurocognition, social cognition, and metacognition.Conclusions: This study illustrated how automated analysis can highlight the specific role of disorganization in neurocognition, social cognition, and metacognition. Generally, those with poor cognition also displayed more disorganization in their speech—making it difficult for listeners to process essential information needed to tie the speaker's ideas together. Our findings showcase how implementing a mixed-methods approach in schizophrenia can explain substantial variance in cognitive processes.

1 October 2015 in Schizophrenia Research
Verified
Journal Article
Closed access
PLPaul H. Lysaker
Paul H. Lysaker
MKMarina Kukla
Marina Kukla
JDJulien Dubreucq
Julien Dubreucq
AGAndrew Gumley
Andrew Gumley
HMHamish McLeod
Hamish McLeod
GDGiancarlo Dimaggio
Giancarlo Dimaggio