Morris D Bell

Prof. Dr. Morris D Bell

Psychiatry, Yale University, New Haven, Connecticut, USA
orcid

Research Focus & Metrics

Academic Career Length

36Years (1991-Present)

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

Representative Publications

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31 January 2008 in Schizophrenia Bulletin
Verified
Journal Article
Closed access
Morris D BellMorris D Bell
Morris D Bell
HTHector Tsang
Hector Tsang
TGT. C. Greig
T. C. Greig
GBG. J. Bryson
G. J. Bryson
Social cognition has been suggested to be an important mediating variable in the relationship between neurocognition and functional outcome. The present study tested this model in relation to work rehabilitation outcome and added self-reported social discomfort as a possible mediator. One hundred fifty-one participants with schizophrenia or schizoaffective disorder participated in a 26-week work therapy program. Neurocognition was constructed as a latent construct comprised of selected variables from our intake test battery representing executive functioning, verbal memory, attention and working memory, processing speed, and thought disorder. Social cognition at intake was the other latent construct comprised of variables representing affect recognition, theory of mind, self-reported egocentricity, and ratings of rapport. The 2 latent constructs received support from confirmatory factor analysis. Social discomfort on the job was based on their self-report on a weekly questionnaire. In addition, we constructed a composite rehabilitation outcome that was based on how many hours they worked, how well they worked, and how complex was the job that they were doing. Path analysis showed direct effects of neurocognition on rehabilitation outcome and indirect effects mediated by social cognition and social discomfort. This model proved to be a good fit to the data and far superior to another model where only social cognition was the mediating variable between neurocognition and rehabilitation outcome. Findings suggest that neurocognition affects social cognition and that poorer social cognition leads to social discomfort on the job, which in turn leads to poorer rehabilitation outcomes. Implications for rehabilitation interventions are discussed.

1 January 2005 in Journal of Rehabilitation Research and Development
Verified
Journal Article
Closed access
Morris D BellMorris D Bell
Morris D Bell
GBGary J. Bryson
Gary J. Bryson
TGTamasine C. Greig
Tamasine C. Greig
JFJoanna M. Fiszdon
Joanna M. Fiszdon
BWBruce E. Wexler
Bruce E. Wexler
Neurocognitive enhancement therapy (NET), which involves computerized cognitive training and other methods, has been shown to improve working memory and executive function in schizophrenia. In the present study, 145 outpatients with diagnoses of schizophrenia or schizoaffective disorder recruited from a Department of Veterans Affairs mental hygiene clinic and from a community mental health center were ran domized to 6 months of paid work therapy (WT) or to NET+WT. Mixed random effects analyses revealed significant increase in hours worked and money earned over time for both conditions (p < 0.0001). NET+WT worked more hours than WT (p < 0.03), with differences emerging after rehabilitation. Responders to NET+WT worked the most during follow-up and tended to have more competitive-wage employment. Results indicate that work outcomes were enhanced by NET training. Effects were greatest for NET responders. Findings support the efficacy of cognitive training when it is integrated into broader rehabilitation programs.

5 October 2011 in Schizophrenia Bulletin
Verified
Journal Article
Open access
PDF file
Morris D BellMorris D Bell
Morris D Bell
SCSilvia Corbera
Silvia Corbera
JJJason K. Johannesen
Jason K. Johannesen
JFJoanna M. Fiszdon
Joanna M. Fiszdon
BWBruce E. Wexler
Bruce E. Wexler
Social cognitive impairments and negative symptoms are core features of schizophrenia closely associated with impaired community functioning. However, little is known about whether these are independent dimensions of illness and if so, whether individuals with schizophrenia can be meaningfully classified based on these dimensions (SANS) and potentially differentially treated. Five social cognitive measures plus Scale for the Assessment of Negative Symptoms (SANS) and Positive and Negative Syndrome Scale (PANSS) scores in a sample of 77 outpatients produced 2 distinct factors—a social cognitive factor and a negative symptom factor. Factor scores were used in a cluster analysis, which yielded 3 well-defined groupings—a high negative symptom group (HN) and 2 low negative symptom groups, 1 with higher social cognition (HSC) and 1 with low social cognition (LSC). To make these findings more practicable for research and clinical settings, a rule of thumb for categorizing using only the Mayer–Salovey–Caruso Emotional Intelligence Test and PANSS negative component was created and produced 84.4% agreement with the original cluster groups. An additional 63 subjects were added to cross validate the rule of thumb. When samples were combined (N = 140), the HSC group had significantly better quality of life and Global Assessment of Functioning (GAF) scores, higher rates of marriage and more hospitalizations. The LSC group had worse criminal and substance abuse histories. With 2 common assessment instruments, people with schizophrenia can be classified into 3 subgroups that have different barriers to community integration and could potentially benefit from different treatments.

1 May 2007 in Psychiatry Research
Verified
Journal Article
Closed access
Morris D BellMorris D Bell
Morris D Bell
JFJoanna Fiszdon
Joanna Fiszdon
RRRandall Richardson
Randall Richardson
PLPaul Lysaker
Paul Lysaker
GBGary Bryson
Gary Bryson

1 September 2010 in Schizophrenia Research
Verified
Journal Article
Closed access
Morris D BellMorris D Bell
Morris D Bell
JFJoanna M. Fiszdon
Joanna M. Fiszdon
TGTamasine C. Greig
Tamasine C. Greig
BWBruce E. Wexler
Bruce E. Wexler

1 July 2021 in Brain
Verified
Journal Article
Open access
PDF file
HMHenry W Mahncke
Henry W Mahncke
JDJoseph DeGutis
Joseph DeGutis
HLHarvey Levin
Harvey Levin
MNMary R Newsome
Mary R Newsome
Morris D BellMorris D Bell
Morris D Bell
MMMichael M Merzenich
Michael M Merzenich
Clinical practice guidelines support cognitive rehabilitation for people with a history of mild traumatic brain injury (mTBI) and cognitive impairment, but no class I randomized clinical trials have evaluated the efficacy of self-administered computerized cognitive training. The goal of this study was to evaluate the efficacy of a self-administered computerized plasticity-based cognitive training programmes in primarily military/veteran participants with a history of mTBI and cognitive impairment. A multisite randomized double-blind clinical trial of a behavioural intervention with an active control was conducted from September 2013 to February 2017 including assessments at baseline, post-training, and after a 3-month follow-up period. Participants self-administered cognitive training (experimental and active control) programmes at home, remotely supervised by a healthcare coach, with an intended training schedule of 5 days per week, 1 h per day, for 13 weeks. Participants (149 contacted, 83 intent-to-treat) were confirmed to have a history of mTBI (mean of 7.2 years post-injury) through medical history/clinician interview and persistent cognitive impairment through neuropsychological testing and/or quantitative participant reported measure. The experimental intervention was a brain plasticity-based computerized cognitive training programme targeting speed/accuracy of information processing, and the active control was composed of computer games. The primary cognitive function measure was a composite of nine standardized neuropsychological assessments, and the primary directly observed functional measure a timed instrumental activities of daily living assessment. Secondary outcome measures included participant-reported assessments of cognitive and mental health. The treatment group showed an improvement in the composite cognitive measure significantly larger than that of the active control group at both the post-training [+6.9 points, confidence interval (CI) +1.0 to +12.7, P = 0.025, d = 0.555] and the follow-up visit (+7.4 points, CI +0.6 to +14.3, P = 0.039, d = 0.591). Both large and small cognitive function improvements were seen twice as frequently in the treatment group than in the active control group. No significant between-group effects were seen on other measures, including the directly-observed functional and symptom measures. Statistically equivalent improvements in both groups were seen in depressive and cognitive symptoms.