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

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. Utilizing a dissimilarity maximization algorithm on the dynami...

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Veröffentlicht in:Psychological medicine 2024-07, Vol.54 (10), p.2599-2611
Hauptverfasser: Kashyap, Rajan, Holla, Bharath, Bhattacharjee, Sagarika, Sharma, Eesha, Mehta, Urvakhsh Meherwan, Vaidya, Nilakshi, Bharath, Rose Dawn, Murthy, Pratima, Basu, Debashish, Nanjayya, Subodh Bhagyalakshmi, Singh, Rajkumar Lenin, Lourembam, Roshan, Chakrabarti, Amit, Kartik, Kamakshi, Kalyanram, Kartik, Kumaran, Kalyanaraman, Krishnaveni, Ghattu, Krishna, Murali, Kuriyan, Rebecca, Kurpad, Sunita Simon, Desrivieres, Sylvane, Purushottam, Meera, Barker, Gareth, Orfanos, Dimitri Papadopoulos, Hickman, Matthew, Heron, Jon, Toledano, Mireille, Schumann, Gunter, Benegal, Vivek
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container_end_page 2611
container_issue 10
container_start_page 2599
container_title Psychological medicine
container_volume 54
creator Kashyap, Rajan
Holla, Bharath
Bhattacharjee, Sagarika
Sharma, Eesha
Mehta, Urvakhsh Meherwan
Vaidya, Nilakshi
Bharath, Rose Dawn
Murthy, Pratima
Basu, Debashish
Nanjayya, Subodh Bhagyalakshmi
Singh, Rajkumar Lenin
Lourembam, Roshan
Chakrabarti, Amit
Kartik, Kamakshi
Kalyanram, Kartik
Kumaran, Kalyanaraman
Krishnaveni, Ghattu
Krishna, Murali
Kuriyan, Rebecca
Kurpad, Sunita Simon
Desrivieres, Sylvane
Purushottam, Meera
Barker, Gareth
Orfanos, Dimitri Papadopoulos
Hickman, Matthew
Heron, Jon
Toledano, Mireille
Schumann, Gunter
Benegal, Vivek
description 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. 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 ( = 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). Significant DMD differences were primarily identified in the default mode network (DMN) regions across these groups ( < 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 ( < 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. 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.
doi_str_mv 10.1017/S0033291724000710
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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. 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 ( = 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). Significant DMD differences were primarily identified in the default mode network (DMN) regions across these groups ( &lt; 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 ( &lt; 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. 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. 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Abstracts (ASSIA)</collection><collection>Calcium &amp; Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Proquest Nursing &amp; Allied Health Source</collection><collection>Neurosciences Abstracts</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Sociology Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>Research Library</collection><collection>Sociology Database (ProQuest)</collection><collection>Research Library (Corporate)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Psychological medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kashyap, Rajan</au><au>Holla, Bharath</au><au>Bhattacharjee, Sagarika</au><au>Sharma, Eesha</au><au>Mehta, Urvakhsh Meherwan</au><au>Vaidya, Nilakshi</au><au>Bharath, Rose Dawn</au><au>Murthy, Pratima</au><au>Basu, Debashish</au><au>Nanjayya, Subodh Bhagyalakshmi</au><au>Singh, Rajkumar Lenin</au><au>Lourembam, Roshan</au><au>Chakrabarti, Amit</au><au>Kartik, Kamakshi</au><au>Kalyanram, Kartik</au><au>Kumaran, Kalyanaraman</au><au>Krishnaveni, Ghattu</au><au>Krishna, Murali</au><au>Kuriyan, Rebecca</au><au>Kurpad, Sunita Simon</au><au>Desrivieres, Sylvane</au><au>Purushottam, Meera</au><au>Barker, Gareth</au><au>Orfanos, Dimitri Papadopoulos</au><au>Hickman, Matthew</au><au>Heron, Jon</au><au>Toledano, Mireille</au><au>Schumann, Gunter</au><au>Benegal, Vivek</au><aucorp>Consortium on Vulnerability to Externalizing Disorders and Addictions (cVEDA)</aucorp><aucorp>for the Consortium on Vulnerability to Externalizing Disorders and Addictions (cVEDA)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Childhood adversities characterize the heterogeneity in the brain pattern of individuals during neurodevelopment</atitle><jtitle>Psychological medicine</jtitle><addtitle>Psychol Med</addtitle><date>2024-07-01</date><risdate>2024</risdate><volume>54</volume><issue>10</issue><spage>2599</spage><epage>2611</epage><pages>2599-2611</pages><issn>0033-2917</issn><issn>1469-8978</issn><eissn>1469-8978</eissn><abstract>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. 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 ( = 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). Significant DMD differences were primarily identified in the default mode network (DMN) regions across these groups ( &lt; 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 ( &lt; 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. 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.</abstract><cop>England</cop><pub>Cambridge University Press</pub><pmid>38509831</pmid><doi>10.1017/S0033291724000710</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-5967-2173</orcidid></addata></record>
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identifier ISSN: 0033-2917
ispartof Psychological medicine, 2024-07, Vol.54 (10), p.2599-2611
issn 0033-2917
1469-8978
1469-8978
language eng
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source Applied Social Sciences Index & Abstracts (ASSIA); MEDLINE; Cambridge University Press Journals Complete
subjects Adaptability
Adolescent
Adult
Adverse Childhood Experiences
Adversity
Age
Atypical
Behavior
Brain
Brain - diagnostic imaging
Brain - growth & development
Brain - physiopathology
Child
Child development
Childhood
Children
Cognitive ability
Cohort Studies
Data collection
Default Mode Network - diagnostic imaging
Default Mode Network - physiopathology
Drug use
Female
Functional magnetic resonance imaging
Humans
Hypotheses
Long term
Long-term effects
Magnetic Resonance Imaging
Male
Mental disorders
Mental health
Morality
Neurodevelopment
Neurodevelopmental Disorders - diagnostic imaging
Neurodevelopmental Disorders - physiopathology
Resting
Young Adult
Young adults
title Childhood adversities characterize the heterogeneity in the brain pattern of individuals during neurodevelopment
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