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Schilling L, Singleton SP, Tozlu C, Hédo M, Zhao Q, Pohl KM, Jamison K, Kuceyeski A. Sex-specific differences in brain activity dynamics of youth with a family history of substance use disorder. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.09.03.610959. [PMID: 39282344 PMCID: PMC11398379 DOI: 10.1101/2024.09.03.610959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 10/22/2024]
Abstract
An individual's risk of substance use disorder (SUD) is shaped by a complex interplay of potent biosocial factors. Current neurodevelopmental models posit vulnerability to SUD in youth is due to an overreactive reward system and reduced inhibitory control. Having a family history of SUD is a particularly strong risk factor, yet few studies have explored its impact on brain function and structure prior to substance exposure. Herein, we utilized a network control theory approach to quantify sex-specific differences in brain activity dynamics in youth with and without a family history of SUD, drawn from a large cohort of substance-naïve youth from the Adolescent Brain Cognitive Development Study. We summarize brain dynamics by calculating transition energy, which probes the ease with which a whole brain, region or network drives the brain towards a specific spatial pattern of activation (i.e., brain state). Our findings reveal that a family history of SUD is associated with alterations in the brain's dynamics wherein: i) independent of sex, certain regions' transition energies are higher in those with a family history of SUD and ii) there exist sex-specific differences in SUD family history groups at multiple levels of transition energy (global, network, and regional). Family history-by-sex effects reveal that energetic demand is increased in females with a family history of SUD and decreased in males with a family history of SUD, compared to their same-sex counterparts with no SUD family history. Specifically, we localize these effects to higher energetic demands of the default mode network in females with a family history of SUD and lower energetic demands of attention networks in males with a family history of SUD. These results suggest a family history of SUD may increase reward saliency in males and decrease efficiency of top-down inhibitory control in females. This work could be used to inform personalized intervention strategies that may target differing cognitive mechanisms that predispose individuals to the development of SUD.
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Affiliation(s)
- Louisa Schilling
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | | | - Ceren Tozlu
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - Marie Hédo
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - Qingyu Zhao
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - Kilian M Pohl
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, California, USA
| | - Keith Jamison
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - Amy Kuceyeski
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA
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Chen K, Zhuang W, Zhang Y, Yin S, Liu Y, Chen Y, Kang X, Ma H, Zhang T. Alteration of the large-scale white-matter functional networks in autism spectrum disorder. Cereb Cortex 2023; 33:11582-11593. [PMID: 37851712 DOI: 10.1093/cercor/bhad392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 10/02/2023] [Accepted: 10/03/2023] [Indexed: 10/20/2023] Open
Abstract
Autism spectrum disorder is a neurodevelopmental disorder whose core deficit is social dysfunction. Previous studies have indicated that structural changes in white matter are associated with autism spectrum disorder. However, few studies have explored the alteration of the large-scale white-matter functional networks in autism spectrum disorder. Here, we identified ten white-matter functional networks on resting-state functional magnetic resonance imaging data using the K-means clustering algorithm. Compared with the white matter and white-matter functional network connectivity of the healthy controls group, we found significantly decreased white matter and white-matter functional network connectivity mainly located within the Occipital network, Middle temporo-frontal network, and Deep network in autism spectrum disorder. Compared with healthy controls, findings from white-matter gray-matter functional network connectivity showed the decreased white-matter gray-matter functional network connectivity mainly distributing in the Occipital network and Deep network. Moreover, we compared the spontaneous activity of white-matter functional networks between the two groups. We found that the spontaneous activity of Middle temporo-frontal and Deep network was significantly decreased in autism spectrum disorder. Finally, the correlation analysis showed that the white matter and white-matter functional network connectivity between the Middle temporo-frontal network and others networks and the spontaneous activity of the Deep network were significantly correlated with the Social Responsiveness Scale scores of autism spectrum disorder. Together, our findings indicate that changes in the white-matter functional networks are associated behavioral deficits in autism spectrum disorder.
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Affiliation(s)
- Kai Chen
- Mental Health Education Center and School of Big Health Management, Xihua University, Jinniu District, Chengdu, Sichuan, China
| | - Wenwen Zhuang
- Mental Health Education Center and School of Big Health Management, Xihua University, Jinniu District, Chengdu, Sichuan, China
| | - Yanfang Zhang
- Department of Ultrasonic Medicine, Baiyun Branch, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Avenue North, Baiyun District, Guangzhou City, Guangdong Province, China
| | - Shunjie Yin
- Mental Health Education Center and School of Big Health Management, Xihua University, Jinniu District, Chengdu, Sichuan, China
| | - Yinghua Liu
- Mental Health Education Center and School of Big Health Management, Xihua University, Jinniu District, Chengdu, Sichuan, China
| | - Yuan Chen
- Mental Health Education Center and School of Big Health Management, Xihua University, Jinniu District, Chengdu, Sichuan, China
| | - Xiaodong Kang
- The Department of Sichuan 81 Rehabilitation Center, Chengdu University of TCM, No. 81 Bayi Road, Yongning Street, Wenjiang District, Chengdu City 610075, China
| | - Hailin Ma
- Plateau Brain Science Research Center, Tibet University, 10 Zangda East Road, Lhasa City 510631, China
| | - Tao Zhang
- Mental Health Education Center and School of Big Health Management, Xihua University, Jinniu District, Chengdu, Sichuan, China
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Wang Z, Rodriguez‐Moreno DV, Cycowicz YM, Amsel LV, Cheslack‐Postava K, He X, Ryan M, Geronazzo‐Alman L, Musa GJ, Bisaga A, Hoven CW. Shapes of subcortical structures in adolescents with and without familial history of substance use disorder. Hum Brain Mapp 2022; 43:2759-2770. [PMID: 35393707 PMCID: PMC9120549 DOI: 10.1002/hbm.25804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 01/24/2022] [Accepted: 01/26/2022] [Indexed: 11/09/2022] Open
Abstract
It has been suggested that intergenerational transmission of risk for substance use disorder (SUD) manifests in the brain anatomy of substance naïve adolescents. While volume and shapes of subcortical structures (SSS) have been shown to be heritable, these structures, especially the pallidum, putamen, nucleus accumbens, and hippocampus, have also been associated with substance use disorders. However, it is not clear if those anatomical differences precede substance use or are the result of that use. Therefore, we examined if volume and SSS of adolescents with a family history (FH+) of SUD differed from adolescents without such a history (FH-). Because risk for SUD is associated with anxiety and impulsivity, we also examined correlations between these psychological characteristics and volume/SSS. Using structural MRI and FSL software, we segmented subcortical structures and obtained indices of SSS and volumes of 64 FH+ and 58 FH- adolescents. We examined group differences in volume and SSS, and the correlations between volume/SSS and trait anxiety and impulsivity. FH+ adolescents had a significant inward deformation in the shape of the right anterior hippocampus compared to FH- adolescents, while the volume of this structure did not differ between groups. Neither shape nor volume of the other subcortical structures differed between groups. In the FH+ adolescents, the left hippocampus shape was positively correlated with both trait anxiety and impulsivity, while in FH- adolescents a negative correlation pattern of SSS was seen in the hippocampus. SSS appears to capture local anatomical features that traditional volumetric analysis does not. The inward shape deformation in the right anterior hippocampus in FH+ adolescents may be related to the known increased risk for behavioral dysregulation leading to SUD in FH+ offspring. Hippocampus shape also exhibits opposite patterns of correlation with anxiety and impulsivity scores across the FH+ and FH- adolescents. These novel findings may reveal neural correlates, not captured by traditional volumetric analysis, of familial transmission of increased vulnerability to SUD.
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Affiliation(s)
- Zhishun Wang
- The Department of PsychiatryVagelos College of Physicians and Surgeons, Columbia UniversityNew YorkNew YorkUSA
- New York State Psychiatric InstituteNew YorkNew YorkUSA
| | - Diana V. Rodriguez‐Moreno
- The Department of PsychiatryVagelos College of Physicians and Surgeons, Columbia UniversityNew YorkNew YorkUSA
- New York State Psychiatric InstituteNew YorkNew YorkUSA
| | - Yael M. Cycowicz
- The Department of PsychiatryVagelos College of Physicians and Surgeons, Columbia UniversityNew YorkNew YorkUSA
- New York State Psychiatric InstituteNew YorkNew YorkUSA
| | - Lawrence V. Amsel
- The Department of PsychiatryVagelos College of Physicians and Surgeons, Columbia UniversityNew YorkNew YorkUSA
- New York State Psychiatric InstituteNew YorkNew YorkUSA
| | - Keely Cheslack‐Postava
- The Department of PsychiatryVagelos College of Physicians and Surgeons, Columbia UniversityNew YorkNew YorkUSA
- New York State Psychiatric InstituteNew YorkNew YorkUSA
| | - Xiaofu He
- The Department of PsychiatryVagelos College of Physicians and Surgeons, Columbia UniversityNew YorkNew YorkUSA
- New York State Psychiatric InstituteNew YorkNew YorkUSA
| | - Megan Ryan
- New York State Psychiatric InstituteNew YorkNew YorkUSA
| | - Lupo Geronazzo‐Alman
- The Department of PsychiatryVagelos College of Physicians and Surgeons, Columbia UniversityNew YorkNew YorkUSA
- New York State Psychiatric InstituteNew YorkNew YorkUSA
| | - George J. Musa
- The Department of PsychiatryVagelos College of Physicians and Surgeons, Columbia UniversityNew YorkNew YorkUSA
- New York State Psychiatric InstituteNew YorkNew YorkUSA
- Department of EpidemiologyMailman School of Public health, Columbia UniversityNew YorkNew YorkUSA
| | - Adam Bisaga
- The Department of PsychiatryVagelos College of Physicians and Surgeons, Columbia UniversityNew YorkNew YorkUSA
- New York State Psychiatric InstituteNew YorkNew YorkUSA
| | - Christina W. Hoven
- The Department of PsychiatryVagelos College of Physicians and Surgeons, Columbia UniversityNew YorkNew YorkUSA
- New York State Psychiatric InstituteNew YorkNew YorkUSA
- Department of EpidemiologyMailman School of Public health, Columbia UniversityNew YorkNew YorkUSA
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