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Ana Ortiz
Harvard University
Default mode networkPhysical therapyLow back painResting state fMRIMedicine
8Publications
3H-index
24Citations
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Publications 10
Newest
#1H. Kim (Harvard University)H-Index: 2
#2Ishtiaq Mawla (Harvard University)H-Index: 5
Last. Ajay D. Wasan (University of Pittsburgh)H-Index: 40
view all 16 authors...
Prior studies have shown that patients suffering from chronic Low Back Pain (cLBP) have impaired somatosensory processing including reduced tactile acuity, i.e. reduced ability to resolve fine spatial details with the perception of touch. The central mechanism(s) underlying reduced tactile acuity are unknown but may include changes in specific brain circuitries (e.g. neuroplasticity in primary somatosensory cortex, S1). Furthermore, little is known about the linkage between changes in tactile ac...
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#1Binlong Zhang (Harvard University)H-Index: 2
#2Minyoung Jung (Harvard University)H-Index: 8
Last. Jian Kong (Harvard University)H-Index: 45
view all 18 authors...
Abstract Background Previous studies have found widespread pain processing alterations in the brain in chronic low back pain (cLBP) patients. We aimed to (1) identify brain regions showing altered amplitude of low-frequency fluctuations (ALFF) using MRI and use these regions to discriminate cLBP patients from healthy controls (HCs) and (2) identify brain regions that are sensitive to cLBP pain intensity changes. Methods We compared ALFF differences by MRI between cLBP subjects (90) and HCs (74),...
3 CitationsSource
#1Ji-Eun KimH-Index: 33
#2Ishtiaq MawlaH-Index: 5
Last. Vitaly NapadowH-Index: 45
view all 14 authors...
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#1Yiheng TuH-Index: 7
#2Minyoung JungH-Index: 8
Last. Jian KongH-Index: 45
view all 15 authors...
AbstractAccumulating evidence has shown that complicated brain systems are involved in the development and maintenance of chronic low back pain (cLBP), but the association between brain functional changes and clinical outcomes remains unclear. Here, we used resting-state functional magnetic resonanc
5 CitationsSource
#1Jeungchan LeeH-Index: 7
#2Ishtiaq MawlaH-Index: 5
Last. Vitaly NapadowH-Index: 45
view all 17 authors...
AbstractAlthough self-report pain ratings are the gold standard in clinical pain assessment, they are inherently subjective in nature and significantly influenced by multidimensional contextual variables. Although objective biomarkers for pain could substantially aid pain diagnosis and development o
5 CitationsSource
#1Wei Shen (HMU: Hainan Medical University)H-Index: 1
#2Yiheng Tu (Harvard University)H-Index: 7
Last. Jian Kong (Harvard University)H-Index: 45
view all 19 authors...
Abstract Chronic low back pain (cLBP) is associated with widespread functional and structural changes in the brain. This study aims to investigate the resting state functional connectivity (rsFC) changes of visual networks in cLBP patients and the feasibility of distinguishing cLBP patients from healthy controls using machine learning methods. cLBP (n = 90) and control individuals (n = 74) were enrolled and underwent resting-state BOLD fMRI scans. Primary, dorsal, and ventral visual networks der...
1 CitationsSource
#1Yiheng Tu (Harvard University)H-Index: 7
#2Ana Ortiz (Harvard University)H-Index: 3
Last. Jian Kong (Harvard University)H-Index: 45
view all 16 authors...
Abstract Despite the high prevalence and socioeconomic impact of chronic low back pain (cLBP), treatments for cLBP are often unsatisfactory, and effectiveness varies widely across patients. Recent neuroimaging studies have demonstrated abnormal resting-state functional connectivity (rsFC) of the default mode, salience, central executive, and sensorimotor networks in chronic pain patients, but their role as predictors of treatment responsiveness has not yet been explored. In this study, we used m...
1 CitationsSource
#1Yiheng Tu (Harvard University)H-Index: 7
#2Ana Ortiz (Harvard University)H-Index: 3
Last. Jian Kong (Harvard University)H-Index: 45
view all 16 authors...
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#1Minyoung Jung (University of Fukui)H-Index: 8
#2Yiheng Tu (Harvard University)H-Index: 7
Last. Jian Kong (Harvard University)H-Index: 45
view all 8 authors...
Abstract Autism spectrum disorder (ASD) is a prevalent neurodevelopmental disorder characterized by atypical social communication and repetitive behaviors. In this study, we applied a multimodal approach to investigate brain structural connectivity, resting state activity, and surface area, as well as their associations with the core symptoms of ASD. Data from forty boys with ASD (mean age, 11.5 years; age range, 5.5–19.5) and forty boys with typical development (TD) (mean age, 12.3; age range, ...
9 CitationsSource
#1Ishtiaq Mawla (Harvard University)H-Index: 5
#2Marco L. Loggia (Harvard University)H-Index: 24
Last. Vitaly Napadow (Harvard University)H-Index: 45
view all 17 authors...
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