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Auditory mismatch negativity deficits in long-term heavy cannabis users

Overview of attention for article published in European Archives of Psychiatry and Clinical Neuroscience, February 2010
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Title
Auditory mismatch negativity deficits in long-term heavy cannabis users
Published in
European Archives of Psychiatry and Clinical Neuroscience, February 2010
DOI 10.1007/s00406-010-0097-y
Pubmed ID
Authors

Patrik Roser, Beate Della, Christine Norra, Idun Uhl, Martin Brüne, Georg Juckel

Abstract

Mismatch negativity (MMN) is an auditory event-related potential indicating auditory sensory memory and information processing. The present study tested the hypothesis that chronic cannabis use is associated with deficient MMN generation. MMN was investigated in age- and gender-matched chronic cannabis users (n = 30) and nonuser controls (n = 30). The cannabis users were divided into two groups according to duration and quantity of cannabis consumption. The MMNs resulting from a pseudorandomized sequence of 2 × 900 auditory stimuli were recorded by 32-channel EEG. The standard stimuli were 1,000 Hz, 80 dB SPL and 90 ms duration. The deviant stimuli differed in duration (50 ms) or frequency (1,200 Hz). There were no significant differences in MMN values between cannabis users and nonuser controls in both deviance conditions. With regard to subgroups, reduced amplitudes of frequency MMN at frontal electrodes were found in long-term (≥8 years of use) and heavy (≥15 joints/week) users compared to short-term and light users. The results indicate that chronic cannabis use may cause a specific impairment of auditory information processing. In particular, duration and quantity of cannabis use could be identified as important factors of deficient MMN generation.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Canada 1 1%
Unknown 65 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 18%
Student > Bachelor 11 16%
Student > Ph. D. Student 8 12%
Student > Master 6 9%
Student > Doctoral Student 3 4%
Other 8 12%
Unknown 19 28%
Readers by discipline Count As %
Medicine and Dentistry 11 16%
Psychology 10 15%
Agricultural and Biological Sciences 6 9%
Engineering 5 7%
Neuroscience 5 7%
Other 8 12%
Unknown 22 33%