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.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2024 |
|---|---|
| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - year:2024 |
|---|---|
| Enthalten in: |
Psychological medicine - (2024) vom: 21. März, Seite 1-13 |
| Sprache: |
Englisch |
|---|
| Links: |
|---|
| Themen: |
Abuse |
|---|
| Anmerkungen: |
Date Revised 21.03.2024 published: Print-Electronic Citation Status Publisher |
|---|
| doi: |
10.1017/S0033291724000710 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM369994140 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM369994140 | ||
| 003 | DE-627 | ||
| 005 | 20240322001558.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 240322s2024 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1017/S0033291724000710 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1339.xml |
| 035 | |a (DE-627)NLM369994140 | ||
| 035 | |a (NLM)38509831 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Kashyap, Rajan |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Childhood adversities characterize the heterogeneity in the brain pattern of individuals during neurodevelopment |
| 264 | 1 | |c 2024 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Revised 21.03.2024 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status Publisher | ||
| 520 | |a 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 | ||
| 520 | |a 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) | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a abuse | |
| 650 | 4 | |a adverse childhood experiences | |
| 650 | 4 | |a brain-behavior correlation | |
| 650 | 4 | |a default mode network | |
| 650 | 4 | |a functional MRI | |
| 650 | 4 | |a heterogeneity in resting state | |
| 650 | 4 | |a neurodevelopment | |
| 700 | 1 | |a Holla, Bharath |e verfasserin |4 aut | |
| 700 | 1 | |a Bhattacharjee, Sagarika |e verfasserin |4 aut | |
| 700 | 1 | |a Sharma, Eesha |e verfasserin |4 aut | |
| 700 | 1 | |a Mehta, Urvakhsh Meherwan |e verfasserin |4 aut | |
| 700 | 1 | |a Vaidya, Nilakshi |e verfasserin |4 aut | |
| 700 | 1 | |a Bharath, Rose Dawn |e verfasserin |4 aut | |
| 700 | 1 | |a Murthy, Pratima |e verfasserin |4 aut | |
| 700 | 1 | |a Basu, Debashish |e verfasserin |4 aut | |
| 700 | 1 | |a Nanjayya, Subodh Bhagyalakshmi |e verfasserin |4 aut | |
| 700 | 1 | |a Singh, Rajkumar Lenin |e verfasserin |4 aut | |
| 700 | 1 | |a Lourembam, Roshan |e verfasserin |4 aut | |
| 700 | 1 | |a Chakrabarti, Amit |e verfasserin |4 aut | |
| 700 | 1 | |a Kartik, Kamakshi |e verfasserin |4 aut | |
| 700 | 1 | |a Kalyanram, Kartik |e verfasserin |4 aut | |
| 700 | 1 | |a Kumaran, Kalyanaraman |e verfasserin |4 aut | |
| 700 | 1 | |a Krishnaveni, Ghattu |e verfasserin |4 aut | |
| 700 | 1 | |a Krishna, Murali |e verfasserin |4 aut | |
| 700 | 1 | |a Kuriyan, Rebecca |e verfasserin |4 aut | |
| 700 | 1 | |a Kurpad, Sunita Simon |e verfasserin |4 aut | |
| 700 | 1 | |a Desrivieres, Sylvane |e verfasserin |4 aut | |
| 700 | 1 | |a Purushottam, Meera |e verfasserin |4 aut | |
| 700 | 1 | |a Barker, Gareth |e verfasserin |4 aut | |
| 700 | 1 | |a Orfanos, Dimitri Papadopoulos |e verfasserin |4 aut | |
| 700 | 1 | |a Hickman, Matthew |e verfasserin |4 aut | |
| 700 | 1 | |a Heron, Jon |e verfasserin |4 aut | |
| 700 | 1 | |a Toledano, Mireille |e verfasserin |4 aut | |
| 700 | 1 | |a Schumann, Gunter |e verfasserin |4 aut | |
| 700 | 1 | |a Benegal, Vivek |e verfasserin |4 aut | |
| 700 | 0 | |a Consortium on Vulnerability to Externalizing Disorders and Addictions (cVEDA) |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Psychological medicine |d 1970 |g (2024) vom: 21. März, Seite 1-13 |w (DE-627)NLM000076112 |x 1469-8978 |7 nnns |
| 773 | 1 | 8 | |g year:2024 |g day:21 |g month:03 |g pages:1-13 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1017/S0033291724000710 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |j 2024 |b 21 |c 03 |h 1-13 | ||