The effects of chronic cigarette smoking on gray matter volume: Influence of sex

ND vs. Controls

Axial Sections . Sagittal Sections . Coronal Sections

Female NDs vs. Controls

Axial Sections . Sagittal Sections . Coronal Sections

Male NDs vs. Controls

Axial Sections . Sagittal Sections . Coronal Sections
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NDs < Controls ThalamusT= 8.06 Medial Prefrontal CortexT= 4.78 Left CerebellumT= 6.19 Right CerebellumT= 4.83 NDs > Controls Left PutamenT= 7.16 Right PutamenT= 5.44 Right ParahippocampusT= 6.32 Females: NDs < Controls ThalamusT= 7.07 Left CerebellumT= 4.80 Ventral Medial Prefrontal CortexT= 4.48 Medial Orbitofrontal CortexT= 4.42 Males: NDs < Controls ThalamusT= 5.45 Right CerebellumT= 5.15 Left CerebellumT= 4.60 Males: NDs > Controls Right ParahippocampusT= 6.30 Left ParahippocampusT= 5.28 Left PutamenT= 5.13

AUTHORS: Co-first authors: *Teresa R. Franklin1 and Reagan R. Wetherill1. Additional authors: Kanchana Jagannathan1, Barbara Johnson2, Joel Mumma1, Nathan Hager1, Hengyi Rao1, Anna Rose Childress1.

1Perelman School of Medicine at the University of Pennsylvania, Department of Psychiatry, Philadelphia, PA 19104, USA
22Perelman School of Medicine at the University of Pennsylvania, Center for Functional Neuroimaging, Philadelphia, PA 19104, USA

* Corresponding author: Teresa R. Franklin, Ph.D.
University of Pennsylvania, Department of Psychiatry
3900 Chestnut Street, Philadelphia, PA 19104, USA
Telephone: (215) 222-3200 ext. 119
Fax: (215) 386-6770


Cigarette smoke contains nicotine and toxic chemicals and may cause significant neurochemical and anatomical brain changes. Voxel-based morphometry studies have examined the effects of smoking on the brain by comparing gray matter volume (GMV) in nicotine dependent individuals (NDs) to nonsmoking individuals with inconsistent results. Although sex differences in neural and behavioral features of nicotine dependence are reported, sex differences in regional GMV remain unknown. The current study examined sex differences in GMV in a large sample of 80 NDs (41 males) and 80 healthy controls (41 males) using voxel-based morphometry. Within NDs, we explored whether GMV was correlated with measures of cigarette use and nicotine dependence. High-resolution T1 structural scans were obtained from all participants. Segmentation and registration were performed in SPM8 using the optimized DARTEL approach. Covariates included age and an estimate of total global GMV. Differences were considered significant at p≤0.001, with a whole brain FWE-corrected cluster probability of p<0.025. Among NDs compared to Controls less GMV was observed in the thalamus and bilateral cerebellum and greater GMV was observed in the bilateral putamen and right parahippocampus. Lower thalamic GMV was observed in both female and male NDs compared to Controls. Female NDs also had lower GMV in the left cerebellum and in the ventral medial and orbitofrontal cortices with no areas of greater GMV. Male NDs had lower GMV in bilateral cerebellum and greater GMV in bilateral parahippocampus and left putamen. Within male NDs, GMV in the left putamen was correlated with number of pack years. This study, conducted in a large cohort, contributes to our knowledge of brain morphology in nicotine addiction and provides additional evidence of sex-specific effects on GMV in NDs. Identifying brain vulnerabilities with respect to sex provides a methodological framework for personalized therapies to improve relapse rates for both sexes.

KEYWORDS:Nicotine, voxel-based morphometry, structural MRI, gray matter volume, sex differences.