Evidence map›Paper›PMID 27452960›Full record

ReviewAddiction (Abingdon, England)2017

The neurobiology of addiction: the perspective from magnetic resonance imaging present and future.

John Suckling, Liam J Nestor

Abstract readReview
In one paragraph

Review in Addiction (Abingdon, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Trial
  8. Prolonged grief disorder in later life: advancing our understanding of biopsychosocial mechanisms to guide future personalized interventions.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  9. Article
  10. Review
  11. A history of addiction through the six editions of Kandel'sFrontiers in behavioral neuroscience · 2026
    Review
  12. Article
  13. Article
  14. Article
  15. Neuroimaging Biomarkers in Addiction.medRxiv : the preprint server for health sciences · 2024
    Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

John SucklingDepartment of Psychiatry and Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK.
Liam J NestorDepartment of Psychiatry and Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK.

Funding

Medical Research Council G0001354Medical Research Council G1000018Medical Research Council G1000183Wellcome Trust 093875
6 · The paper itself

Abstract

BACKGROUND AND

aimsAddiction is associated with severe economic and social consequences and personal tragedies, the scientific exploration of which draws upon investigations at the molecular, cellular and systems levels with a wide variety of technologies. Magnetic resonance imaging (MRI) has been key to mapping effects observed at the microscopic and mesoscopic scales. The range of measurements from this apparatus has opened new avenues linking neurobiology to behaviour. This review considers the role of MRI in addiction research, and what future technological improvements might offer.

methodsA hermeneutic strategy supplemented by an expansive, systematic search of PubMed, Scopus and Web of Science databases, covering from database inception to October 2015, with a conjunction of search terms relevant to addiction and MRI. Formal meta-analyses were prioritized.

resultsResults from methods that probe brain structure and function suggest frontostriatal circuitry disturbances within specific cognitive domains, some of which predict drug relapse and treatment response. New methods of processing imaging data are opening opportunities for understanding the role of cerebral vasculature, a global view of brain communication and the complex topology of the cortical surface and drug action. Future technological advances include increases in MRI field strength, with concomitant improvements in image quality.

conclusionsThe magnetic resonance imaging literature provides a limited but convergent picture of the neurobiology of addiction as global changes to brain structure and functional disturbances to frontostriatal circuitry, accompanied by changes in anterior white matter.

Indexed as

Magnetic Resonance ImagingNeuroimagingBehavior, AddictiveBrainHumansAddictionarterial spin labellingblood oxygenation level dependentbrain structure and functiondiffussion imagingfunctional imagingmagentisation transfermagnetic resonance imagingneuroimagingvoxel based morphometry

Identifiers

PMID27452960
PMCPMC5244682

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.