Correlations Between Morpho-structural Properties of the Brain and Cognitive and Motor Deficits in Individuals with Traumatic Brain Injury

被引:0
|
作者
Alivar, Alaleh [1 ,2 ]
Saleh, Soha [3 ,4 ]
Glassen, Michael [3 ]
Suviseshamuthu, Easter S. [5 ,6 ]
Handiru, Vikram Shenoy [5 ,6 ]
Allexandre, Didier [5 ]
Yue, Guang H. [5 ,6 ]
机构
[1] New York Univ, Ctr Adv Imaging Innovat & Res CAI2R, Dept Radiol, Sch Med, New York, NY USA
[2] New York Univ, Sch Med, Bernard & Irene Schwartz Ctr Biomed Imaging, Dept Radiol, New York, NY USA
[3] Rutgers State Univ, Sch Hlth Profess, Dept Rehabil & Movement Sci, Newark, NJ USA
[4] Rutgers State Univ, Robert Wood Johnson Med Sch RWJMS, Dept Neurol, Newark, NJ USA
[5] Kessler Fdn, Ctr Mobil & Rehabil Engn Res, West Orange, NJ 07936 USA
[6] Rutgers State Univ, New Jersey Med Sch, Dept Phys Med & Rehabil, Newark, NJ USA
来源
NEUROTRAUMA REPORTS | 2025年 / 6卷 / 01期
关键词
balance impairments; cognitive deficits; fractional anisotropy; fractal dimension; partial least squares correlation; traumatic brain injury; FRACTAL DIMENSION ANALYSIS; TENSOR IMAGING PARAMETERS; WHITE-MATTER INTEGRITY; CORTICAL SURFACE; PROCESSING SPEED; CEREBRAL-CORTEX; OLDER-ADULTS; CONNECTIVITY; BIOMARKERS; TRAIL;
D O I
10.1089/neur.2024.0091
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Traumatic brain injury (TBI) results in changes in brain networks followed by long-lasting behavioral and social impairments. This study explores the relationship between neurobehavioral as well as physical function deficits and structural changes in brain white matter (WM) and gray matter (GM) in individuals with TBI by evaluating morphometric magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI) data. The structural MRI-based fractal analysis has emerged as a promising new approach to measure the morphology of the WM and GM. While DTI metrics reflect the microstructural properties of WM, the fractal dimension (FD) is regarded as a measure of morphometric complexity of the system, thus providing complementary information on the brain structure. This study included 10 individuals having moderate-to-severe TBI with balance/postural control deficits and 8 healthy controls. The network-based GM and WM morphologies were measured using FD and structural connectivity metrics, and fractional anisotropy (FA) was assessed using DTI in major WM tracts. The associations between brain structural (FA and FD) measures and a number of neuropsychological assessment and sensorimotor function outcomes were evaluated using partial least square correlation analysis. Our findings showed that the complexity in GM of default mode network, salience network, sensorimotor network, and frontoparietal network is positively correlated with the performance in cognitive and balance outcomes in patients with TBI. On the contrary, in DTI connectivity measures, only few regions including corona radiata, inferior longitudinal fasciculus, and middle cerebellar peduncle were strongly correlated with the behavioral outcomes in the TBI group. Our study suggests that the brain structure complexity measured by FD is a promising and complementary approach to DTI for potentially serving as a biomarker of cognitive and sensorimotor functions in TBI population.
引用
收藏
页码:68 / 81
页数:14
相关论文
共 50 条
  • [1] Cognitive deficits in patients with mild to moderate traumatic brain injury
    Miotto, Eliane Correa
    Cinalli, Fernanda Zanetti
    Serrao, Valeria Trunkl
    Benute, Glaucia Guerra
    Souza Lucia, Mara Cristina
    Scaff, Milberto
    ARQUIVOS DE NEURO-PSIQUIATRIA, 2010, 68 (06) : 862 - 868
  • [2] Dysfunctional Timing in Traumatic Brain Injury Patients: Co-occurrence of Cognitive, Motor, and Perceptual Deficits
    Verga, Laura
    Schwartze, Michael
    Stapert, Sven
    Winkens, Ieke
    Kotz, Sonja A.
    FRONTIERS IN PSYCHOLOGY, 2021, 12
  • [3] Altered structural networks and executive deficits in traumatic brain injury patients
    Caeyenberghs, K.
    Leemans, A.
    Leunissen, I.
    Gooijers, J.
    Michiels, K.
    Sunaert, S.
    Swinnen, S. P.
    BRAIN STRUCTURE & FUNCTION, 2014, 219 (01) : 193 - 209
  • [4] Electrophysiological markers of cognitive deficits in traumatic brain injury: A review
    Dockree, Paul M.
    Robertson, Ian H.
    INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, 2011, 82 (01) : 53 - 60
  • [5] Topological correlations of structural and functional networks in patients with traumatic brain injury
    Caeyenberghs, Karen
    Leemans, Alexander
    Leunissen, Inge
    Michiels, Karla
    Swinnen, Stephan P.
    FRONTIERS IN HUMAN NEUROSCIENCE, 2013, 7
  • [6] Correlations Between White Matter Integrity and Motor Function in Traumatic Brain Injury Patients
    Caeyenberghs, Karen
    Leemans, Alexander
    Geurts, Monique
    Vander Linden, Catharine
    Smits-Engelsman, Bouwien C. M.
    Sunaert, Stefan
    Swinnen, Stephan P.
    NEUROREHABILITATION AND NEURAL REPAIR, 2011, 25 (06) : 492 - 502
  • [7] Assessing Sensory-Motor Deficits in Pediatric Traumatic Brain Injury
    Davis, Andrew S.
    Dean, Raymond S.
    APPLIED NEUROPSYCHOLOGY, 2010, 17 (02): : 104 - 109
  • [8] A role for decorin in improving motor deficits after traumatic brain injury
    Oshima, Kaori
    Siddiqui, Noah
    Orfila, James E.
    Carter, Danelle
    Laing, Justin
    Han, Xiaorui
    Zakharevich, Igor
    Iozzo, Renato, V
    Ghasabyan, Arsen
    Moore, Hunter
    Zhang, Fuming
    Linhardt, Robert J.
    Moore, Ernest E.
    Quillinan, Nidia
    Schmidt, Eric P.
    Herson, Pavo S.
    Hippensteel, Joseph A.
    MATRIX BIOLOGY, 2024, 125 : 88 - 99
  • [9] Continuous remote ischemic conditioning attenuates cognitive and motor deficits from moderate traumatic brain injury
    Pandit, Viraj
    Khan, Muhammad
    Zakaria, El Rasheid
    Largent-Milnes, Tally M.
    Hamidi, Mohammad
    O'Keeffe, Terence
    Vanderah, Todd W.
    Joseph, Bellal
    JOURNAL OF TRAUMA AND ACUTE CARE SURGERY, 2018, 85 (01) : 48 - 53
  • [10] Mild cognitive impairment and structural brain abnormalities in a sexagenarian with a history of childhood traumatic brain injury
    Van Horn, John Darrell
    Irimia, Andrei
    Torgerson, Carinna M.
    Bhattrai, Avnish
    Jacokes, Zachary
    Vespa, Paul M.
    JOURNAL OF NEUROSCIENCE RESEARCH, 2018, 96 (04) : 652 - 660