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Childhood adversities characterize the heterogeneity in the brain pattern of individuals during neurodevelopment

Childhood adversities characterize the heterogeneity in the brain pattern of individuals during neurodevelopment
Childhood adversities characterize the heterogeneity in the brain pattern of individuals during neurodevelopment

Background: several factors shape the neurodevelopmental trajectory. A key area of focus in neurodevelopmental research is to estimate the factors that have maximal influence on the brain and can tip the balance from typical to atypical development. 

Methods: utilizing a dissimilarity maximization algorithm on the dynamic mode decomposition (DMD) of the resting state functional MRI data, we classified subjects from the cVEDA neurodevelopmental cohort (n = 987, aged 6-23 years) into homogeneously patterned DMD (representing typical development in 809 subjects) and heterogeneously patterned DMD (indicative of atypical development in 178 subjects). 

Results: significant DMD differences were primarily identified in the default mode network (DMN) regions across these groups (p < 0.05, Bonferroni corrected). While the groups were comparable in cognitive performance, the atypical group had more frequent exposure to adversities and faced higher abuses (p < 0.05, Bonferroni corrected). Upon evaluating brain-behavior correlations, we found that correlation patterns between adversity and DMN dynamic modes exhibited age-dependent variations for atypical subjects, hinting at differential utilization of the DMN due to chronic adversities. 

Conclusion: adversities (particularly abuse) maximally influence the DMN during neurodevelopment and lead to the failure in the development of a coherent DMN system. While DMN's integrity is preserved in typical development, the age-dependent variability in atypically developing individuals is contrasting. The flexibility of DMN might be a compensatory mechanism to protect an individual in an abusive environment. However, such adaptability might deprive the neural system of the faculties of normal functioning and may incur long-term effects on the psyche.

abuse, adverse childhood experiences, brain-behavior correlation, default mode network, functional MRI, heterogeneity in resting state, neurodevelopment
0033-2917
Kashyap, Rajan
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Holla, Bharath
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Bhattacharjee, Sagarika
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Sharma, Eesha
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Mehta, Urvakhsh Meherwan
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Vaidya, Nilakshi
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Bharath, Rose Dawn
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Murthy, Pratima
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Basu, Debashish
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Nanjayya, Subodh Bhagyalakshmi
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Singh, Rajkumar Lenin
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Lourembam, Roshan
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Chakrabarti, Amit
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Kartik, Kamakshi
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Kalyanram, Kartik
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Kumaran, Kalyanaraman
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Krishnaveni, Ghattu
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Krishna, Murali
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Kuriyan, Rebecca
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Kurpad, Sunita Simon
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Desrivieres, Sylvane
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Purushottam, Meera
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Barker, Gareth
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Orfanos, Dimitri Papadopoulos
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Hickman, Matthew
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Heron, Jon
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Toledano, Mireille
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Schumann, Gunter
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Benegal, Vivek
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Consortium on Vulnerability to Externalizing Disorders and Addictions (cVEDA)
Kashyap, Rajan
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Holla, Bharath
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Bhattacharjee, Sagarika
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Sharma, Eesha
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Mehta, Urvakhsh Meherwan
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Vaidya, Nilakshi
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Bharath, Rose Dawn
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Murthy, Pratima
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Basu, Debashish
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Nanjayya, Subodh Bhagyalakshmi
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Singh, Rajkumar Lenin
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Lourembam, Roshan
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Chakrabarti, Amit
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Kartik, Kamakshi
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Kalyanram, Kartik
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Kumaran, Kalyanaraman
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Krishnaveni, Ghattu
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Krishna, Murali
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Kuriyan, Rebecca
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Kurpad, Sunita Simon
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Desrivieres, Sylvane
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Purushottam, Meera
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Barker, Gareth
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Orfanos, Dimitri Papadopoulos
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Hickman, Matthew
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Heron, Jon
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Toledano, Mireille
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Schumann, Gunter
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Benegal, Vivek
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Kashyap, Rajan, Holla, Bharath and Bhattacharjee, Sagarika , Consortium on Vulnerability to Externalizing Disorders and Addictions (cVEDA) (2024) Childhood adversities characterize the heterogeneity in the brain pattern of individuals during neurodevelopment. Psychological Medicine, 54 (10). (doi:10.1017/S0033291724000710).

Record type: Article

Abstract

Background: several factors shape the neurodevelopmental trajectory. A key area of focus in neurodevelopmental research is to estimate the factors that have maximal influence on the brain and can tip the balance from typical to atypical development. 

Methods: utilizing a dissimilarity maximization algorithm on the dynamic mode decomposition (DMD) of the resting state functional MRI data, we classified subjects from the cVEDA neurodevelopmental cohort (n = 987, aged 6-23 years) into homogeneously patterned DMD (representing typical development in 809 subjects) and heterogeneously patterned DMD (indicative of atypical development in 178 subjects). 

Results: significant DMD differences were primarily identified in the default mode network (DMN) regions across these groups (p < 0.05, Bonferroni corrected). While the groups were comparable in cognitive performance, the atypical group had more frequent exposure to adversities and faced higher abuses (p < 0.05, Bonferroni corrected). Upon evaluating brain-behavior correlations, we found that correlation patterns between adversity and DMN dynamic modes exhibited age-dependent variations for atypical subjects, hinting at differential utilization of the DMN due to chronic adversities. 

Conclusion: adversities (particularly abuse) maximally influence the DMN during neurodevelopment and lead to the failure in the development of a coherent DMN system. While DMN's integrity is preserved in typical development, the age-dependent variability in atypically developing individuals is contrasting. The flexibility of DMN might be a compensatory mechanism to protect an individual in an abusive environment. However, such adaptability might deprive the neural system of the faculties of normal functioning and may incur long-term effects on the psyche.

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More information

e-pub ahead of print date: 21 March 2024
Keywords: abuse, adverse childhood experiences, brain-behavior correlation, default mode network, functional MRI, heterogeneity in resting state, neurodevelopment

Identifiers

Local EPrints ID: 499523
URI: http://eprints.soton.ac.uk/id/eprint/499523
ISSN: 0033-2917
PURE UUID: 959ad640-e177-4f6c-9586-be0b0c386b0a

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Date deposited: 24 Mar 2025 17:59
Last modified: 24 Mar 2025 17:59

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Contributors

Author: Rajan Kashyap
Author: Bharath Holla
Author: Sagarika Bhattacharjee
Author: Eesha Sharma
Author: Urvakhsh Meherwan Mehta
Author: Nilakshi Vaidya
Author: Rose Dawn Bharath
Author: Pratima Murthy
Author: Debashish Basu
Author: Subodh Bhagyalakshmi Nanjayya
Author: Rajkumar Lenin Singh
Author: Roshan Lourembam
Author: Amit Chakrabarti
Author: Kamakshi Kartik
Author: Kartik Kalyanram
Author: Ghattu Krishnaveni
Author: Murali Krishna
Author: Rebecca Kuriyan
Author: Sunita Simon Kurpad
Author: Sylvane Desrivieres
Author: Meera Purushottam
Author: Gareth Barker
Author: Dimitri Papadopoulos Orfanos
Author: Matthew Hickman
Author: Jon Heron
Author: Mireille Toledano
Author: Gunter Schumann
Author: Vivek Benegal
Corporate Author: Consortium on Vulnerability to Externalizing Disorders and Addictions (cVEDA)

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