Skip to content

Your Cart


You have 0 items in your cart.

Information For The Media

6 December 2016 /

Special issue of JINS focuses on preclinical predictions in psychiatric and neurological conditions

Psychology has long been driven by the urge to understand how to accurately predict behaviors, and since the turn of the twenty-first century, the numbers of research studies focused on prediction of diagnosis and clinical trajectories has accelerated substantially indicating the extent of the academic and medical interest in this field.

Clinicians are now making ever-greater steps towards building complex diagnostic models for preclinical prediction across a range of psychiatric and neurological conditions, many of which are outlined in a new special issue of the Journal of the International Neuropsychological Society?(JINS).

This special issue comprises nine papers describing cutting-edge findings and key methodological advances for preclinical detection. These outline a variety of models and strategies for improving preclinical prediction, with focuses including multiple sclerosis (MS), Alzheimer's disease, and schizophrenia.

In the issue, Lancaster and colleagues demonstrate how longitudinal changes in episodic memory functioning can be predicted, by using baseline diffusion tensor imaging of white matter micro-structure in the medial temporal lobe. Koscik and colleagues compare sensitivity for predicting subsequent cognitive impairment, using either variability in performance of cognitive tasks, or combinations of outcomes from particular tasks.

Seidman and colleagues have developed methods to ascertain the predictability of schizophrenia, finding that working memory impairment was more robust than vigilance for characterizing the cognitive impairment associated with familial risk for schizophrenia.

Finally, two articles in the issue focus on the use of prediction strategies for prognosticating outcome after brain injury has already occurred in pediatric samples; Ransom and colleagues used evidence-based assessment to identify teenage students who are at-risk for post-concussive academic difficulty, while Till and colleagues developed prediction methods for multiple sclerosis (MS) in children by studying the cognitive, academic and psychosocial difficulties experienced by children who had previously received a diagnosis for acquired demyelinating syndrome (ADS).

These papers add to a growing field of research on preclinical prediction, and future studies promise to contribute to improvement in preventative treatments before cognitive decline occurs, as well as to more effective treatments and allocation of resources following brain injury.

The entire special issue is available for free to all until January 31, 2017 at


Notes to editors

For further information, please contact Joon Won Moon via [email protected].

About the Journal of the International Neuropsychological Society (JINS)

JINS? is the official journal of the International Neuropsychological Society, an organization of over 4,700 international members from a variety of disciplines. Our editorial board is comprised of internationally known experts with a broad range of interests.?JINS?publishes empirically-based articles covering all areas of neuropsychology and the interface of neuropsychology with other areas, such as cognitive neuroscience. Theoretically driven work that has clinical implications is of particular interest.

For further information, go to

About Cambridge University Press

Cambridge University Press is part of the University of Cambridge. It furthers the University's mission by disseminating knowledge in the pursuit of education, learning and research at the highest international levels of excellence.

Its extensive peer-reviewed publishing lists comprise 50,000 titles covering academic research and professional development, as well as school-level education and English language teaching.

Playing a leading role in today's international marketplace, Cambridge University Press has more than 50 offices around the globe, and it distributes its products to nearly every country in the world.

For further information, go to

  • Share:

Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

Please fill in the required fields in your feedback submission.
This site uses cookies to improve your experience. Read more Close
  • 1638821280 2018-03-21
  • 1963171279 2018-03-21
  • 386471278 2018-03-21
  • 8205731277 2018-03-21
  • 825061276 2018-03-21
  • 1481601275 2018-03-21
  • 5757201274 2018-03-21
  • 6913221273 2018-03-21
  • 4268201272 2018-03-21
  • 76241271 2018-03-21
  • 2305481270 2018-03-20
  • 7798871269 2018-03-20
  • 596381268 2018-03-20
  • 5012271267 2018-03-20
  • 3869921266 2018-03-20
  • 2137481265 2018-03-20
  • 3407351264 2018-03-20
  • 5684391263 2018-03-19
  • 9198941262 2018-03-19
  • 9696831261 2018-03-19
  • cheap jerseys | wholesale jerseys |