Epidemiological/Cohort Studies |
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Association not causation
Uncertainty about the influence of unidentified factors
Uncertainty about whether an intervention aimed at an identified factor would have an impact on clinical outcome
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Basic Science/Animal Studies |
Investigation under highly controlled conditions
Determination of underlying mechanisms
Identification of intervening variables (e.g., changes in brain structure, neurotransmitters, growth factors, inflammatory markers, etc.)
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Reduction of complex issues into simple ones
Need to translate findings from basic science or animal models to the study of humans
Defining underlying mechanisms does not signify that manipulating an identified factor will alter clinical outcome
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Human “Proof- of-Concept” Studies |
Opportunity to examine markers of cerebral plasticity, reserve, efficiency, and neural compensation
Utilization of the tools of cognitive neuroscience to elucidate underlying mechanisms
Opportunity for further hypothesis testing and generation
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Human Intervention Studies |
Often considered the ‘gold standard’
Randomization helps control for selection bias and other variables that may influence clinical outcomes
Outcome measures can include cognitive performance as well as biological or neuroimaging markers
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Feasibility of conducting such studies for financial, logistical, or ethical reasons
Uncertainty about the extent to which the observed effects can be generalized
Uncertainty about whether statistically significant results are clinically relevant
Uncertainty about whether a failed trial was due to the particular dose/duration of an agent, or the particular sample studied
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