Literature DB >> 23044515

The influence of genetic factors on brain plasticity and recovery after neural injury.

Kristin M Pearson-Fuhrhop1, Erin Burke, Steven C Cramer.   

Abstract

PURPOSE OF REVIEW: The fields of clinical genetics and pharmacogenetics are rapidly expanding. Genetic factors have numerous associations with injury and with treatment effects in the setting of neural plasticity and recovery. RECENT
FINDINGS: Evidence is reviewed that established genetic variants, as well as some more recently described variants, are related to outcome after neural injury and in some cases are useful for predicting clinical course. In many cases, the interaction of genetics with clinical factors such as experience and therapy may be important. As an extension of this, genetic factors have been associated with differential response to a number of forms of therapy, including pharmacological, brain stimulation, psychotherapy, and meditation. Genetic variation might also have a significant effect on plasticity and recovery through key covariates such as depression or stress. A key point is that genetic associations might be most accurately identified when studied in relation to distinct forms of a disorder rather than in relation to broad clinical syndromes.
SUMMARY: Understanding genetic variation gives clinicians a biological signal that could be used to predict who is most likely to recover from neural injury, to choose the optimal treatment for a patient, or to supplement rehabilitation therapy.

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Mesh:

Year:  2012        PMID: 23044515     DOI: 10.1097/WCO.0b013e32835a360a

Source DB:  PubMed          Journal:  Curr Opin Neurol        ISSN: 1350-7540            Impact factor:   5.710


  12 in total

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Review 8.  Genetics as a molecular window into recovery, its treatment, and stress responses after stroke.

Authors:  Vanessa Juth; E Alison Holman; Michelle K Chan; Steven C Cramer
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9.  BDNF Genotype Interacts with Motor Function to Influence Rehabilitation Responsiveness Poststroke.

Authors:  Christine T Shiner; Kerrie D Pierce; Angelica G Thompson-Butel; Terry Trinh; Peter R Schofield; Penelope A McNulty
Journal:  Front Neurol       Date:  2016-05-17       Impact factor: 4.003

10.  Genome-wide association meta-analysis of functional outcome after ischemic stroke.

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Journal:  Neurology       Date:  2019-02-22       Impact factor: 11.800

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