The revolutionary growth of the cognitive neurosciences offers enormous promise for understanding the mechanisms underlying antipsychotic interventions. The overarching goal of the Research Methods Core is to support the application of state-of-the-art neurocognitive and neuroimaging methodologies that may help clarify the mechanisms underlying effective intervention in schizophrenia such as the prediction of treatment response, functional outcome, and adverse events in a unique cohort of first episode patients with minimal or no prior antipsychotic drug exposure. Compared to conventional treatment targets such as clinical symptomatology, cognitive neuroscience methods theoretically are more closely representative of brain dysfunction, and should ultimately be superior: (1) in classifying individuals who will benefit differentially from specific treatments, and some day, in the selection, dosing and titration of treatments;(2) in identifying the stable, enduring features of pathology that are most likely to predict distinctive outcomes, with implications for disposition and rehabilitative efforts;(3) in identifying neurobiological mechanisms that mediate treatment response with current, second-generation antipsychotics;and finally, (4) in serving as treatment targets themselves, possibly leading to the next generation of rationally-derived treatments. Moreover, information derived from cognitive neuroscience methods in well-controlled clinical trials will further provide crucial feedback to basic neuroscience research about the mechanisms underlying effective treatment. The Research Methods Core provides infrastructure support for the individual research projects, which include assessment of neurocognitive functioning, region-of-interest volumetric approaches, diffusion tensor imaging, cortical surface mapping and positron emission tomography to predict treatment response and multidimensional outcome measures.
The specific aims of the Core include: (1) to integrate individual projects within the Center;(2) to develop innovative methods for data analysis and image processing;(3) to communicate findings and train investigators in neuropsychological and neuroimaging methods and (4) to maintain high standards of reliability for individual research projects. Mechanisms by which the Core accomplishes these aims will be addressed in turn, after a brief overview of the three major platforms for cognitive neuroscience research within the ZHH CIDAR.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Specialized Center (P50)
Project #
3P50MH080173-05S1
Application #
8494916
Study Section
Special Emphasis Panel (ZMH1-ERB-C)
Project Start
Project End
2014-04-30
Budget Start
2012-05-16
Budget End
2013-04-30
Support Year
5
Fiscal Year
2012
Total Cost
$36,581
Indirect Cost
$14,544
Name
Feinstein Institute for Medical Research
Department
Type
DUNS #
110565913
City
Manhasset
State
NY
Country
United States
Zip Code
11030
Trampush, J W; Yang, M L Z; Yu, J et al. (2017) GWAS meta-analysis reveals novel loci and genetic correlates for general cognitive function: a report from the COGENT consortium. Mol Psychiatry 22:336-345
Chang, Eric H; Argyelan, Miklos; Aggarwal, Manisha et al. (2017) Diffusion tensor imaging measures of white matter compared to myelin basic protein immunofluorescence in tissue cleared intact brains. Data Brief 10:438-443
McNamara, Robert K; Szeszko, Philip R; Smesny, Stefan et al. (2017) Polyunsaturated fatty acid biostatus, phospholipase A2 activity and brain white matter microstructure across adolescence. Neuroscience 343:423-433
DeRosse, Pamela; Ikuta, Toshikazu; Karlsgodt, Katherine H et al. (2017) White Matter Abnormalities Associated With Subsyndromal Psychotic-Like Symptoms Predict Later Social Competence in Children and Adolescents. Schizophr Bull 43:152-159
John, Majnu; Ikuta, Toshikazu; Ferbinteanu, Janina (2017) Graph analysis of structural brain networks in Alzheimer's disease: beyond small world properties. Brain Struct Funct 222:923-942
Chang, Eric H; Argyelan, Miklos; Aggarwal, Manisha et al. (2017) The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains. Neuroimage 147:253-261
John, Majnu; Lencz, Todd; Ferbinteanu, Janina et al. (2017) Applications of temporal kernel canonical correlation analysis in adherence studies. Stat Methods Med Res 26:2437-2454
Lyall, A E; Pasternak, O; Robinson, D G et al. (2017) Greater extracellular free-water in first-episode psychosis predicts better neurocognitive functioning. Mol Psychiatry :
Howrigan, D P; Simonson, M A; Davies, G et al. (2016) Genome-wide autozygosity is associated with lower general cognitive ability. Mol Psychiatry 21:837-43
Sarpal, Deepak K; Lencz, Todd; Malhotra, Anil K (2016) In Support of Neuroimaging Biomarkers of Treatment Response in First-Episode Schizophrenia. Am J Psychiatry 173:732-3

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