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Boateng T, Beauchamp K, Torres F, Ruffaner-Hanson CD, Pinner JFL, Vakamudi K, Cerros C, Hill DE, Stephen JM. Brain structural differences in children with fetal alcohol spectrum disorder and its subtypes. Front Neurosci 2023; 17:1152038. [PMID: 37621716 PMCID: PMC10445146 DOI: 10.3389/fnins.2023.1152038] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 07/24/2023] [Indexed: 08/26/2023] Open
Abstract
Introduction The teratogenic effects of prenatal alcohol exposure (PAE) have been examined in animal models and humans. The current study extends the prior literature by quantifying differences in brain structure for individuals with a fetal alcohol spectrum disorder (FASD) compared to typically developing controls, as well as examining FASD subtypes. We hypothesized the FASD group would reveal smaller brain volume, reduced cortical thickness, and reduced surface area compared to controls, with the partial fetal alcohol syndrome (pFAS)/fetal alcohol syndrome (FAS) subtypes showing the largest effects and the PAE/alcohol-related neurodevelopmental disorder (ARND) subtype revealing intermediate effects. Methods The sample consisted of 123 children and adolescents recruited from a single site including children with a diagnosis of FASD/PAE (26 males, 29 females) and controls (34 males, 34 females). Structural T1-weighted MRI scans were obtained on a 3T Trio TIM scanner and FreeSurfer v7.2 was used to quantify brain volume, cortical thickness, and surface area. Analyses examined effects by subgroup: pFAS/FAS (N = 32, Mage = 10.7 years, SEage = 0.79), PAE/ARND (N = 23, Mage = 10.8, SEage = 0.94), and controls (N = 68, Mage = 11.1, SEage = 0.54). Results Total brain volume in children with an FASD was smaller relative to controls, but subtype analysis revealed only the pFAS/FAS group differed significantly from controls. Regional analyses similarly revealed reduced brain volume in frontal and temporal regions for children with pFAS/FAS, yet children diagnosed with PAE/ARND generally had similar volumes as controls. Notable differences to this pattern occurred in the cerebellum, caudate, and pallidum where children with pFAS/FAS and PAE/ARND revealed lower volume relative to controls. In the subset of participants who had neuropsychological testing, correlations between volume and IQ scores were observed. Goodness-of-Fit analysis by age revealed differences in developmental patterns (linear vs. quadratic) between groups in some cases. Discussion This study confirmed prior results indicating decreased brain volume in children with an FASD and extended the results by demonstrating differential effects by structure for FASD subtypes. It provides further evidence for a complex role of PAE in structural brain development that is likely related to the cognitive and behavioral effects experienced by children with an FASD.
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Affiliation(s)
- Theresah Boateng
- Department of Special Education, The University of New Mexico, Albuquerque, NM, United States
| | - Kathryn Beauchamp
- College of Pharmacy, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
- The Mind Research Network, Division of the Lovelace Biomedical Research Institute, Albuquerque, NM, United States
| | - Faerl Torres
- The Mind Research Network, Division of the Lovelace Biomedical Research Institute, Albuquerque, NM, United States
| | - Chaselyn D. Ruffaner-Hanson
- Department of Neurosciences, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
| | - John F. L. Pinner
- The Mind Research Network, Division of the Lovelace Biomedical Research Institute, Albuquerque, NM, United States
| | - Kishore Vakamudi
- The Mind Research Network, Division of the Lovelace Biomedical Research Institute, Albuquerque, NM, United States
| | - Cassandra Cerros
- Department of Pediatrics, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
| | - Dina E. Hill
- Department of Psychiatry and Behavioral Sciences, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
| | - Julia M. Stephen
- The Mind Research Network, Division of the Lovelace Biomedical Research Institute, Albuquerque, NM, United States
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Mayer AR, Meier TB, Dodd AB, Stephenson DD, Robertson-Benta CR, Ling JM, Pabbathi Reddy S, Zotev V, Vakamudi K, Campbell RA, Sapien RE, Erhardt EB, Phillips JP, Vakhtin AA. Prospective Study of Gray Matter Atrophy Following Pediatric Mild Traumatic Brain Injury. Neurology 2023; 100:e516-e527. [PMID: 36522161 PMCID: PMC9931084 DOI: 10.1212/wnl.0000000000201470] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 09/09/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND AND OBJECTIVES The clinical and physiologic time course for recovery following pediatric mild traumatic brain injury (pmTBI) remains actively debated. The primary objective of the current study was to prospectively examine structural brain changes (cortical thickness and subcortical volumes) and age-at-injury effects. A priori study hypotheses predicted reduced cortical thickness and hippocampal volumes up to 4 months postinjury, which would be inversely associated with age at injury. METHODS Prospective cohort study design with consecutive recruitment. Study inclusion adapted from American Congress of Rehabilitation Medicine (upper threshold) and Zurich Concussion in Sport Group (minimal threshold) and diagnosed by Emergency Department and Urgent Care clinicians. Major neurologic, psychiatric, or developmental disorders were exclusionary. Clinical (Common Data Element) and structural (3 T MRI) evaluations within 11 days (subacute visit [SA]) and at 4 months (early chronic visit [EC]) postinjury. Age- and sex-matched healthy controls (HC) to control for repeat testing/neurodevelopment. Clinical outcomes based on self-report and cognitive testing. Structural images quantified with FreeSurfer (version 7.1.1). RESULTS A total of 208 patients with pmTBI (age = 14.4 ± 2.9; 40.4% female) and 176 HC (age = 14.2 ± 2.9; 42.0% female) were included in the final analyses (>80% retention). Reduced cortical thickness (right rostral middle frontal gyrus; d = -0.49) and hippocampal volumes (d = -0.24) observed for pmTBI, but not associated with age at injury. Hippocampal volume recovery was mediated by loss of consciousness/posttraumatic amnesia. Significantly greater postconcussive symptoms and cognitive deficits were observed at SA and EC visits, but were not associated with the structural abnormalities. Structural abnormalities slightly improved balanced classification accuracy above and beyond clinical gold standards (∆+3.9%), with a greater increase in specificity (∆+7.5%) relative to sensitivity (∆+0.3%). DISCUSSION Current findings indicate that structural brain abnormalities may persist up to 4 months post-pmTBI and are partially mediated by initial markers of injury severity. These results contribute to a growing body of evidence suggesting prolonged physiologic recovery post-pmTBI. In contrast, there was no evidence for age-at-injury effects or physiologic correlates of persistent symptoms in our sample.
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Affiliation(s)
- Andrew R Mayer
- From the The Mind Research Network/Lovelace Biomedical Research Institute (A.R.M., A.B.D., D.D.S., C.R.R.-B., J.M.L., S.P.R., V.Z., K.V., J.P.P., A.A.V.); Department of Psychology (A.R.M.), Department of Neurology (A.R.M., J.P.P.), and Department of Psychiatry & Behavioral Sciences (A.R.M., R.A.C.), University of New Mexico, Albuquerque; Department of Neurosurgery (T.B.M.), Department of Cell Biology, Neurobiology and Anatomy (T.B.M.), and Department of Biomedical Engineering (T.B.M.), Medical College of Wisconsin, Milwaukee; and Department of Emergency Medicine (R.E.S.), and Department of Mathematics and Statistics (E.B.E.), University of New Mexico, Albuquerque.
| | - Timothy B Meier
- From the The Mind Research Network/Lovelace Biomedical Research Institute (A.R.M., A.B.D., D.D.S., C.R.R.-B., J.M.L., S.P.R., V.Z., K.V., J.P.P., A.A.V.); Department of Psychology (A.R.M.), Department of Neurology (A.R.M., J.P.P.), and Department of Psychiatry & Behavioral Sciences (A.R.M., R.A.C.), University of New Mexico, Albuquerque; Department of Neurosurgery (T.B.M.), Department of Cell Biology, Neurobiology and Anatomy (T.B.M.), and Department of Biomedical Engineering (T.B.M.), Medical College of Wisconsin, Milwaukee; and Department of Emergency Medicine (R.E.S.), and Department of Mathematics and Statistics (E.B.E.), University of New Mexico, Albuquerque
| | - Andrew B Dodd
- From the The Mind Research Network/Lovelace Biomedical Research Institute (A.R.M., A.B.D., D.D.S., C.R.R.-B., J.M.L., S.P.R., V.Z., K.V., J.P.P., A.A.V.); Department of Psychology (A.R.M.), Department of Neurology (A.R.M., J.P.P.), and Department of Psychiatry & Behavioral Sciences (A.R.M., R.A.C.), University of New Mexico, Albuquerque; Department of Neurosurgery (T.B.M.), Department of Cell Biology, Neurobiology and Anatomy (T.B.M.), and Department of Biomedical Engineering (T.B.M.), Medical College of Wisconsin, Milwaukee; and Department of Emergency Medicine (R.E.S.), and Department of Mathematics and Statistics (E.B.E.), University of New Mexico, Albuquerque
| | - David D Stephenson
- From the The Mind Research Network/Lovelace Biomedical Research Institute (A.R.M., A.B.D., D.D.S., C.R.R.-B., J.M.L., S.P.R., V.Z., K.V., J.P.P., A.A.V.); Department of Psychology (A.R.M.), Department of Neurology (A.R.M., J.P.P.), and Department of Psychiatry & Behavioral Sciences (A.R.M., R.A.C.), University of New Mexico, Albuquerque; Department of Neurosurgery (T.B.M.), Department of Cell Biology, Neurobiology and Anatomy (T.B.M.), and Department of Biomedical Engineering (T.B.M.), Medical College of Wisconsin, Milwaukee; and Department of Emergency Medicine (R.E.S.), and Department of Mathematics and Statistics (E.B.E.), University of New Mexico, Albuquerque
| | - Cidney R Robertson-Benta
- From the The Mind Research Network/Lovelace Biomedical Research Institute (A.R.M., A.B.D., D.D.S., C.R.R.-B., J.M.L., S.P.R., V.Z., K.V., J.P.P., A.A.V.); Department of Psychology (A.R.M.), Department of Neurology (A.R.M., J.P.P.), and Department of Psychiatry & Behavioral Sciences (A.R.M., R.A.C.), University of New Mexico, Albuquerque; Department of Neurosurgery (T.B.M.), Department of Cell Biology, Neurobiology and Anatomy (T.B.M.), and Department of Biomedical Engineering (T.B.M.), Medical College of Wisconsin, Milwaukee; and Department of Emergency Medicine (R.E.S.), and Department of Mathematics and Statistics (E.B.E.), University of New Mexico, Albuquerque
| | - Josef M Ling
- From the The Mind Research Network/Lovelace Biomedical Research Institute (A.R.M., A.B.D., D.D.S., C.R.R.-B., J.M.L., S.P.R., V.Z., K.V., J.P.P., A.A.V.); Department of Psychology (A.R.M.), Department of Neurology (A.R.M., J.P.P.), and Department of Psychiatry & Behavioral Sciences (A.R.M., R.A.C.), University of New Mexico, Albuquerque; Department of Neurosurgery (T.B.M.), Department of Cell Biology, Neurobiology and Anatomy (T.B.M.), and Department of Biomedical Engineering (T.B.M.), Medical College of Wisconsin, Milwaukee; and Department of Emergency Medicine (R.E.S.), and Department of Mathematics and Statistics (E.B.E.), University of New Mexico, Albuquerque
| | - Sharvani Pabbathi Reddy
- From the The Mind Research Network/Lovelace Biomedical Research Institute (A.R.M., A.B.D., D.D.S., C.R.R.-B., J.M.L., S.P.R., V.Z., K.V., J.P.P., A.A.V.); Department of Psychology (A.R.M.), Department of Neurology (A.R.M., J.P.P.), and Department of Psychiatry & Behavioral Sciences (A.R.M., R.A.C.), University of New Mexico, Albuquerque; Department of Neurosurgery (T.B.M.), Department of Cell Biology, Neurobiology and Anatomy (T.B.M.), and Department of Biomedical Engineering (T.B.M.), Medical College of Wisconsin, Milwaukee; and Department of Emergency Medicine (R.E.S.), and Department of Mathematics and Statistics (E.B.E.), University of New Mexico, Albuquerque
| | - Vadim Zotev
- From the The Mind Research Network/Lovelace Biomedical Research Institute (A.R.M., A.B.D., D.D.S., C.R.R.-B., J.M.L., S.P.R., V.Z., K.V., J.P.P., A.A.V.); Department of Psychology (A.R.M.), Department of Neurology (A.R.M., J.P.P.), and Department of Psychiatry & Behavioral Sciences (A.R.M., R.A.C.), University of New Mexico, Albuquerque; Department of Neurosurgery (T.B.M.), Department of Cell Biology, Neurobiology and Anatomy (T.B.M.), and Department of Biomedical Engineering (T.B.M.), Medical College of Wisconsin, Milwaukee; and Department of Emergency Medicine (R.E.S.), and Department of Mathematics and Statistics (E.B.E.), University of New Mexico, Albuquerque
| | - Kishore Vakamudi
- From the The Mind Research Network/Lovelace Biomedical Research Institute (A.R.M., A.B.D., D.D.S., C.R.R.-B., J.M.L., S.P.R., V.Z., K.V., J.P.P., A.A.V.); Department of Psychology (A.R.M.), Department of Neurology (A.R.M., J.P.P.), and Department of Psychiatry & Behavioral Sciences (A.R.M., R.A.C.), University of New Mexico, Albuquerque; Department of Neurosurgery (T.B.M.), Department of Cell Biology, Neurobiology and Anatomy (T.B.M.), and Department of Biomedical Engineering (T.B.M.), Medical College of Wisconsin, Milwaukee; and Department of Emergency Medicine (R.E.S.), and Department of Mathematics and Statistics (E.B.E.), University of New Mexico, Albuquerque
| | - Richard A Campbell
- From the The Mind Research Network/Lovelace Biomedical Research Institute (A.R.M., A.B.D., D.D.S., C.R.R.-B., J.M.L., S.P.R., V.Z., K.V., J.P.P., A.A.V.); Department of Psychology (A.R.M.), Department of Neurology (A.R.M., J.P.P.), and Department of Psychiatry & Behavioral Sciences (A.R.M., R.A.C.), University of New Mexico, Albuquerque; Department of Neurosurgery (T.B.M.), Department of Cell Biology, Neurobiology and Anatomy (T.B.M.), and Department of Biomedical Engineering (T.B.M.), Medical College of Wisconsin, Milwaukee; and Department of Emergency Medicine (R.E.S.), and Department of Mathematics and Statistics (E.B.E.), University of New Mexico, Albuquerque
| | - Robert E Sapien
- From the The Mind Research Network/Lovelace Biomedical Research Institute (A.R.M., A.B.D., D.D.S., C.R.R.-B., J.M.L., S.P.R., V.Z., K.V., J.P.P., A.A.V.); Department of Psychology (A.R.M.), Department of Neurology (A.R.M., J.P.P.), and Department of Psychiatry & Behavioral Sciences (A.R.M., R.A.C.), University of New Mexico, Albuquerque; Department of Neurosurgery (T.B.M.), Department of Cell Biology, Neurobiology and Anatomy (T.B.M.), and Department of Biomedical Engineering (T.B.M.), Medical College of Wisconsin, Milwaukee; and Department of Emergency Medicine (R.E.S.), and Department of Mathematics and Statistics (E.B.E.), University of New Mexico, Albuquerque
| | - Erik B Erhardt
- From the The Mind Research Network/Lovelace Biomedical Research Institute (A.R.M., A.B.D., D.D.S., C.R.R.-B., J.M.L., S.P.R., V.Z., K.V., J.P.P., A.A.V.); Department of Psychology (A.R.M.), Department of Neurology (A.R.M., J.P.P.), and Department of Psychiatry & Behavioral Sciences (A.R.M., R.A.C.), University of New Mexico, Albuquerque; Department of Neurosurgery (T.B.M.), Department of Cell Biology, Neurobiology and Anatomy (T.B.M.), and Department of Biomedical Engineering (T.B.M.), Medical College of Wisconsin, Milwaukee; and Department of Emergency Medicine (R.E.S.), and Department of Mathematics and Statistics (E.B.E.), University of New Mexico, Albuquerque
| | - John P Phillips
- From the The Mind Research Network/Lovelace Biomedical Research Institute (A.R.M., A.B.D., D.D.S., C.R.R.-B., J.M.L., S.P.R., V.Z., K.V., J.P.P., A.A.V.); Department of Psychology (A.R.M.), Department of Neurology (A.R.M., J.P.P.), and Department of Psychiatry & Behavioral Sciences (A.R.M., R.A.C.), University of New Mexico, Albuquerque; Department of Neurosurgery (T.B.M.), Department of Cell Biology, Neurobiology and Anatomy (T.B.M.), and Department of Biomedical Engineering (T.B.M.), Medical College of Wisconsin, Milwaukee; and Department of Emergency Medicine (R.E.S.), and Department of Mathematics and Statistics (E.B.E.), University of New Mexico, Albuquerque
| | - Andrei A Vakhtin
- From the The Mind Research Network/Lovelace Biomedical Research Institute (A.R.M., A.B.D., D.D.S., C.R.R.-B., J.M.L., S.P.R., V.Z., K.V., J.P.P., A.A.V.); Department of Psychology (A.R.M.), Department of Neurology (A.R.M., J.P.P.), and Department of Psychiatry & Behavioral Sciences (A.R.M., R.A.C.), University of New Mexico, Albuquerque; Department of Neurosurgery (T.B.M.), Department of Cell Biology, Neurobiology and Anatomy (T.B.M.), and Department of Biomedical Engineering (T.B.M.), Medical College of Wisconsin, Milwaukee; and Department of Emergency Medicine (R.E.S.), and Department of Mathematics and Statistics (E.B.E.), University of New Mexico, Albuquerque
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Sicard V, Stephenson DD, Dodd AB, Pabbathi Reddy S, Robertson-Benta CR, Ryman SG, Hanlon FM, Shaff NA, Ling JM, Hergert DC, Vakamudi K, Hogeveen J, Mayer AR. Is the prefrontal cortex organized by supramodal or modality-specific sensory demands during adolescence? Dev Cogn Neurosci 2021; 51:101006. [PMID: 34419765 PMCID: PMC8379626 DOI: 10.1016/j.dcn.2021.101006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 07/19/2021] [Accepted: 08/12/2021] [Indexed: 11/22/2022] Open
Abstract
Attention is inherently biased towards the visual modality during most multisensory scenarios in adults, but the developmental trajectory towards visual dominance has not been fully elucidated. More recent evidence in primates and adult humans suggests a modality-specific stratification of the prefrontal cortex. The current study therefore used functional magnetic resonance imaging (fMRI) to investigate the neuronal correlates of proactive (following cues) and reactive (following probes) cognitive control for simultaneous audio-visual stimulation in 67 healthy adolescents (13-18 years old). Behavioral results were only partially supportive of visual dominance in adolescents, with both reduced response times and accuracy during attend-visual relative to attend-auditory trials. Differential activation of medial and lateral prefrontal cortex for processing incongruent relative to congruent stimuli (reactive control) was also only observed during attend-visual trials. There was no evidence of modality-specific prefrontal cortex stratification during the active processing of multisensory stimuli or during separate functional connectivity analyses. Attention-related modulations were also greater within visual relative to auditory cortex, but were less robust than observed in previous adult studies. Collectively, current results suggest a continued transition towards visual dominance in adolescence, as well as limited modality-specific specialization of prefrontal cortex and attentional modulations of unisensory cortex.
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Affiliation(s)
- V Sicard
- The Mind Research Network/Lovelace Biomedical Research Institute, Albuquerque, NM, USA
| | - D D Stephenson
- The Mind Research Network/Lovelace Biomedical Research Institute, Albuquerque, NM, USA
| | - A B Dodd
- The Mind Research Network/Lovelace Biomedical Research Institute, Albuquerque, NM, USA
| | - S Pabbathi Reddy
- The Mind Research Network/Lovelace Biomedical Research Institute, Albuquerque, NM, USA
| | - C R Robertson-Benta
- The Mind Research Network/Lovelace Biomedical Research Institute, Albuquerque, NM, USA
| | - S G Ryman
- The Mind Research Network/Lovelace Biomedical Research Institute, Albuquerque, NM, USA
| | - F M Hanlon
- The Mind Research Network/Lovelace Biomedical Research Institute, Albuquerque, NM, USA
| | - N A Shaff
- The Mind Research Network/Lovelace Biomedical Research Institute, Albuquerque, NM, USA
| | - J M Ling
- The Mind Research Network/Lovelace Biomedical Research Institute, Albuquerque, NM, USA
| | - D C Hergert
- The Mind Research Network/Lovelace Biomedical Research Institute, Albuquerque, NM, USA
| | - K Vakamudi
- The Mind Research Network/Lovelace Biomedical Research Institute, Albuquerque, NM, USA
| | - J Hogeveen
- Department of Psychology, University of New Mexico, Albuquerque, NM, USA
| | - A R Mayer
- The Mind Research Network/Lovelace Biomedical Research Institute, Albuquerque, NM, USA; Department of Neurology, University of New Mexico, Albuquerque, NM, USA; Department of Emergency Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, USA; Department of Psychology, University of New Mexico, Albuquerque, NM, USA.
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Vakamudi K, Trapp C, Talaat K, Gao K, Sa De La Rocque Guimaraes B, Posse S. Real-Time Resting-State Functional Magnetic Resonance Imaging Using Averaged Sliding Windows with Partial Correlations and Regression of Confounding Signals. Brain Connect 2020; 10:448-463. [PMID: 32892629 DOI: 10.1089/brain.2020.0758] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Background/Introduction: There is considerable interest in using real-time functional magnetic resonance imaging (fMRI) for monitoring functional connectivity dynamics. To date, the majority of real-time resting-state fMRI studies have examined a limited number of brain regions. This is, in part, due to the computational demands of traditional seed- and independent component analysis-based methods, in particular when using increasingly available high-speed fMRI methods. Methods: This study describes a computationally efficient, real-time, seed-based, resting-state fMRI analysis pipeline using moving averaged sliding-windows (ASW) with partial correlations and regression of motion parameters and signals from white matter and cerebrospinal fluid. Results: Analytical and numerical analyses of ASW correlation and sliding-window regression as a function of window width show selectable bandpass filter characteristics and effective suppression of artifactual correlations resulting from signal drifts and transients. The analysis pipeline is compatible with multislab echo-volumar imaging and simultaneous multislice echo-planar imaging with repetition times as short as 136 msec. High-speed, resting-state fMRI data in healthy controls demonstrate the effectiveness of this approach for minimizing artifactual correlations in white and gray matter, which was comparable to conventional regression across the entire scan. Integrating sliding-window averaging (width: W1) within a second-level sliding-window (width: W2) enabled monitoring of intra- and internetwork correlation dynamics of up to 12 resting-state networks with bandpass filter characteristics determined by the first-level sliding-window and temporal resolution W1 + W2. Conclusions: The computational performance and confound tolerance make this seed-based, resting-state fMRI approach suitable for real-time monitoring of data quality and resting-state connectivity dynamics in neuroscience and clinical research studies. Impact statement Using averaged sliding-windows for seed-based correlation and regression of confounding signals provides a powerful model-free approach to increase tolerance to artifactual signal transients in resting-state analysis. The algorithmic efficiency of this sliding-window approach enables real-time, seed-based, resting-state functional magnetic resonance imaging (fMRI) of multiple networks with computation of connectivity matrices and online monitoring of data quality. Integration of a second-level sliding-window enables mapping of resting-state connectivity dynamics. Sensitivity and tolerance to confounding signals compare favorably with conventional correlation and confound regression across the entire scan. This methodological advance has the potential to enhance the clinical utility of resting-state fMRI and facilitate neuroscience applications.
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Affiliation(s)
- Kishore Vakamudi
- Department of Neurology, School of Medicine, The University of New Mexico, Albuquerque, New Mexico, USA
| | - Cameron Trapp
- Department of Neurology, School of Medicine, The University of New Mexico, Albuquerque, New Mexico, USA.,Department of Physics and Astronomy, The University of New Mexico, Albuquerque, New Mexico, USA
| | - Khaled Talaat
- Department of Neurology, School of Medicine, The University of New Mexico, Albuquerque, New Mexico, USA.,Department of Nuclear Engineering, The University of New Mexico, Albuquerque, New Mexico, USA
| | - Kunxiu Gao
- NeurInsight, LLC, Albuquerque, New Mexico, USA
| | | | - Stefan Posse
- Department of Neurology, School of Medicine, The University of New Mexico, Albuquerque, New Mexico, USA.,Department of Physics and Astronomy, The University of New Mexico, Albuquerque, New Mexico, USA
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