Alex S. Cohen

ORCID: 0000-0003-4014-6904
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About
Contact & Profiles
Research Areas
  • Schizophrenia research and treatment
  • Mental Health Research Topics
  • Mental Health and Psychiatry
  • Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Neuroscience and Music Perception
  • Child and Adolescent Psychosocial and Emotional Development
  • Obsessive-Compulsive Spectrum Disorders
  • Psychosomatic Disorders and Their Treatments
  • Personality Disorders and Psychopathology
  • Functional Brain Connectivity Studies
  • Stuttering Research and Treatment
  • Neurobiology of Language and Bilingualism
  • Digital Mental Health Interventions
  • Language Development and Disorders
  • Mental Health Treatment and Access
  • Voice and Speech Disorders
  • Virology and Viral Diseases
  • Emotion and Mood Recognition
  • Bipolar Disorder and Treatment
  • Influenza Virus Research Studies
  • Topic Modeling
  • Human-Automation Interaction and Safety
  • Dementia and Cognitive Impairment Research
  • Bacteriophages and microbial interactions
  • Mathematical Dynamics and Fractals

Louisiana State University
2015-2024

National Audubon Society
2010-2023

Massachusetts Institute of Technology
2021-2023

University of Washington
2023

Baton Rouge Clinic
2022

Baruch College
2021

University of Colorado Boulder
2021

UiT The Arctic University of Norway
2021

Louisiana State University System
2017

GTx (United States)
2014

Journal Article Interdisciplinary research: meaning, metrics and nurture Get access Alan L Porter, Porter Search for other works by this author on: Oxford Academic Google Scholar J David Roessner, Roessner Alex S Cohen, Cohen Marty Perreault Research Evaluation, Volume 15, Issue 3, December 2006, Pages 187–195, https://doi.org/10.3152/147154406781775841 Published: 01 2006

10.3152/147154406781775841 article EN Research Evaluation 2006-12-01

Psychometric case identification of individuals at risk for developing schizophrenia-spectrum disorders is an important enterprise. Unfortunately, current instruments this purpose are limited. The present studies sought to improve the Schizotypal Personality Questionnaire-Brief (SPQ-Brief), a measure schizotypal traits that has come under recent criticism. In first study, we conducted exploratory factor analysis on SPQ-Brief using Likert-style scoring format in large sample nonclinical...

10.1521/pedi.2010.24.4.516 article EN Journal of Personality Disorders 2010-08-01

Social anhedonia has been employed in psychometric high-risk studies to identify putative schizotypes. To date, this research focused almost exclusively on college samples. The current study sought examine the validity of social as an indicator risk for schizophrenia-spectrum disorders within a community sample. Furthermore, we evaluated role other individual difference variables accounting variable clinical severity group including trait affectivity, support, and family environment....

10.1093/schbul/sbp107 article EN Schizophrenia Bulletin 2009-10-22

Background Schizotypal traits are considered a phenotypic-indicator of schizotypy, latent personality organization reflecting putative liability for psychosis. To date, no previous study has examined the comparability factorial structures across samples originating from different countries and cultures. The main goal was to evaluate structure reliability Personality Questionnaire (SPQ) scores by amalgamating data studies conducted in 12 21 sites. Method overall sample consisted 27 001...

10.1017/s0033291717001829 article EN Psychological Medicine 2017-07-17

Technological advances in the assessment and understanding of speech language within domains automatic recognition, natural processing, machine learning present a remarkable opportunity for psychologists to learn more about human thought communication, evaluate variety clinical conditions, predict cognitive psychological states. These innovations can be leveraged automate traditionally time-intensive tasks (e.g., educational assessment), provide information care chatbots), when delivered...

10.1037/amp0001195 article EN American Psychologist 2024-01-01

Abstract Facial emotion recognition deficits have been widely investigated in individuals with schizophrenia; however, it remains unclear whether these reflect a trait-like vulnerability to schizophrenia pathology present at risk for the disorder. Although some studies this population, findings mixed. The current study uses well-validated task, relatively large sample, and examines relationship between recognition, symptoms, overall life quality. Eighty-nine psychometrically defined...

10.1017/s135561771000007x article EN Journal of the International Neuropsychological Society 2010-03-19

Elucidating schizotypal traits is important if we are to understand the various manifestations of psychosis spectrum liability and reliably identify individuals at high risk for psychosis. The present study examined network structures (1) 9 personality domains (2) 74 individual items, (3) explored whether networks differed across gender culture (North America vs China). was conducted in a sample 27001 participants from 12 countries 21 sites (M age = 22.12; SD 6.28; 37.5% males). Schizotypal...

10.1093/schbul/sby044 article EN Schizophrenia Bulletin 2018-03-26

Abstract Objective Negative symptoms and functional outcome have traditionally been assessed using clinical rating scales, which rely on retrospective self-reports several inherent limitations that impact validity. These issues may be addressed with more objective digital phenotyping measures. In the current study, we evaluated psychometric properties of a novel “passive” method: geolocation. Method Participants included outpatients schizophrenia or schizoaffective disorder (SZ: n = 44),...

10.1093/schbul/sbaa121 article EN Schizophrenia Bulletin 2020-08-05
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