Insights into brain network dynamics across ages using group-ICA functional parcellation
Aging is a natural and inevitable process in human life that involves changes in the brain. The brain becomes structurally, functionally, and interconnected differently. The evolution of brain activity and its anatomy follows separate paths, causing them to not always align. Independent Component An...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
|
| Series: | Franklin Open |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2773186324001087 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850250203626471424 |
|---|---|
| author | Lorena Malinalli López-Medina Omar Paredes Sorpresa Lora-Castro Rebeca Romo-Vázquez J. Alejandro Morales Hugo Vélez-Pérez |
| author_facet | Lorena Malinalli López-Medina Omar Paredes Sorpresa Lora-Castro Rebeca Romo-Vázquez J. Alejandro Morales Hugo Vélez-Pérez |
| author_sort | Lorena Malinalli López-Medina |
| collection | DOAJ |
| description | Aging is a natural and inevitable process in human life that involves changes in the brain. The brain becomes structurally, functionally, and interconnected differently. The evolution of brain activity and its anatomy follows separate paths, causing them to not always align. Independent Component Analysis (ICA), a Blind Source Separation (BSS) method, enables brain parcellation considering an individual's functional patterns. This is advantageous when studying brain function at different stages of life, allowing for a more comprehensive and flexible approach that accounts for age-related differences. This study aims to investigate the relationship between age and functional networks, exploring the differences in the functional parcellations of two different age groups and their networks. We propose a method utilizing group-ICA that identifies functional connectivity patterns to estimate coherent networks. We found variations in the distribution of the age-related networks and the brain portions they covered; some networks in old adults encompassed smaller areas in comparison to the networks in young adults. |
| format | Article |
| id | doaj-art-d6bd204fa46a450dbbdfbeeb38a4d62e |
| institution | OA Journals |
| issn | 2773-1863 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Franklin Open |
| spelling | doaj-art-d6bd204fa46a450dbbdfbeeb38a4d62e2025-08-20T01:58:16ZengElsevierFranklin Open2773-18632024-12-01910017810.1016/j.fraope.2024.100178Insights into brain network dynamics across ages using group-ICA functional parcellationLorena Malinalli López-Medina0Omar Paredes1Sorpresa Lora-Castro2Rebeca Romo-Vázquez3J. Alejandro Morales4Hugo Vélez-Pérez5Biodigital Innovation Lab, CUCEI, University of Guadalajara. Blvd. Marcelino García Barragán No. 1421, Olímpica, 44430 Guadalajara, Jalisco, MexicoBiodigital Innovation Lab, CUCEI, University of Guadalajara. Blvd. Marcelino García Barragán No. 1421, Olímpica, 44430 Guadalajara, Jalisco, MexicoTranslational Bioengineering Department, CUCEI, University of Guadalajara. Blvd. Marcelino García Barragán No. 1421, Olímpica, 44430 Guadalajara, Jalisco, MexicoTranslational Bioengineering Department, CUCEI, University of Guadalajara. Blvd. Marcelino García Barragán No. 1421, Olímpica, 44430 Guadalajara, Jalisco, MexicoBiodigital Innovation Lab, CUCEI, University of Guadalajara. Blvd. Marcelino García Barragán No. 1421, Olímpica, 44430 Guadalajara, Jalisco, MexicoTranslational Bioengineering Department, CUCEI, University of Guadalajara. Blvd. Marcelino García Barragán No. 1421, Olímpica, 44430 Guadalajara, Jalisco, Mexico; Corresponding author.Aging is a natural and inevitable process in human life that involves changes in the brain. The brain becomes structurally, functionally, and interconnected differently. The evolution of brain activity and its anatomy follows separate paths, causing them to not always align. Independent Component Analysis (ICA), a Blind Source Separation (BSS) method, enables brain parcellation considering an individual's functional patterns. This is advantageous when studying brain function at different stages of life, allowing for a more comprehensive and flexible approach that accounts for age-related differences. This study aims to investigate the relationship between age and functional networks, exploring the differences in the functional parcellations of two different age groups and their networks. We propose a method utilizing group-ICA that identifies functional connectivity patterns to estimate coherent networks. We found variations in the distribution of the age-related networks and the brain portions they covered; some networks in old adults encompassed smaller areas in comparison to the networks in young adults.http://www.sciencedirect.com/science/article/pii/S2773186324001087Brain parcellationfMRIFunctional networkIndependent component analysisResting-state |
| spellingShingle | Lorena Malinalli López-Medina Omar Paredes Sorpresa Lora-Castro Rebeca Romo-Vázquez J. Alejandro Morales Hugo Vélez-Pérez Insights into brain network dynamics across ages using group-ICA functional parcellation Franklin Open Brain parcellation fMRI Functional network Independent component analysis Resting-state |
| title | Insights into brain network dynamics across ages using group-ICA functional parcellation |
| title_full | Insights into brain network dynamics across ages using group-ICA functional parcellation |
| title_fullStr | Insights into brain network dynamics across ages using group-ICA functional parcellation |
| title_full_unstemmed | Insights into brain network dynamics across ages using group-ICA functional parcellation |
| title_short | Insights into brain network dynamics across ages using group-ICA functional parcellation |
| title_sort | insights into brain network dynamics across ages using group ica functional parcellation |
| topic | Brain parcellation fMRI Functional network Independent component analysis Resting-state |
| url | http://www.sciencedirect.com/science/article/pii/S2773186324001087 |
| work_keys_str_mv | AT lorenamalinallilopezmedina insightsintobrainnetworkdynamicsacrossagesusinggroupicafunctionalparcellation AT omarparedes insightsintobrainnetworkdynamicsacrossagesusinggroupicafunctionalparcellation AT sorpresaloracastro insightsintobrainnetworkdynamicsacrossagesusinggroupicafunctionalparcellation AT rebecaromovazquez insightsintobrainnetworkdynamicsacrossagesusinggroupicafunctionalparcellation AT jalejandromorales insightsintobrainnetworkdynamicsacrossagesusinggroupicafunctionalparcellation AT hugovelezperez insightsintobrainnetworkdynamicsacrossagesusinggroupicafunctionalparcellation |