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Article ; Online: Stepping Closer to Precision Rehabilitation.

Lin, David J / Stein, Joel

2023 Volume 80, Issue 4, Page(s) 339–341

MeSH term(s)	Humans ; Gait ; Stroke Rehabilitation ; Walking
Language	English
Publishing date	2023-02-22
Publishing country	United States
Document type	Editorial ; Comment
ZDB-ID	2702023-X
ISSN	2168-6157 ; 2168-6149
ISSN (online)	2168-6157
ISSN	2168-6149
DOI	10.1001/jamaneurol.2023.0044
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Article ; Online: Prognostication in Prolonged and Chronic Disorders of Consciousness.

Carlson, Julia M / Lin, David J

Seminars in neurology

2023 Volume 43, Issue 5, Page(s) 744–757

Abstract: Patients with prolonged disorders of consciousness (DOCs) longer than 28 days may continue to make significant gains and achieve functional recovery. Occasionally, this recovery trajectory may extend past 3 (for nontraumatic etiologies) and 12 months ( ... ...

Abstract	Patients with prolonged disorders of consciousness (DOCs) longer than 28 days may continue to make significant gains and achieve functional recovery. Occasionally, this recovery trajectory may extend past 3 (for nontraumatic etiologies) and 12 months (for traumatic etiologies) into the chronic period. Prognosis is influenced by several factors including state of DOC, etiology, and demographics. There are several testing modalities that may aid prognostication under active investigation including electroencephalography, functional and anatomic magnetic resonance imaging, and event-related potentials. At this time, only one treatment (amantadine) has been routinely recommended to improve functional recovery in prolonged DOC. Given that some patients with prolonged or chronic DOC have the potential to recover both consciousness and functional status, it is important for neurologists experienced in prognostication to remain involved in their care.
MeSH term(s)	Humans ; Consciousness ; Consciousness Disorders/diagnosis ; Electroencephalography ; Amantadine ; Prognosis ; Chronic Disease
Chemical Substances	Amantadine (BF4C9Z1J53)
Language	English
Publishing date	2023-09-27
Publishing country	United States
Document type	Journal Article
ZDB-ID	603165-1
ISSN	1098-9021 ; 0271-8235
ISSN (online)	1098-9021
ISSN	0271-8235
DOI	10.1055/s-0043-1775792
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Zs.A 1737: Show issues

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Article ; Online: Further tests of sequence-sensitive models in a modified garner task using separable dimensions.

Lin, Deborah J / Little, Daniel R

Journal of experimental psychology. General

2022 Volume 152, Issue 4, Page(s) 1080–1121

Abstract: In the study of perceptual categorization, a key distinction is made between separable and integral dimensions. Separable dimensions are easy to attend in isolation, while integral dimensions are not. Little et al. (2016) showed that when trial-by-trial ... ...

Abstract	In the study of perceptual categorization, a key distinction is made between separable and integral dimensions. Separable dimensions are easy to attend in isolation, while integral dimensions are not. Little et al. (2016) showed that when trial-by-trial responses are analyzed, a consistent pattern of sequential effects was found in a modified Garner paradigm using integral-dimension stimuli. The present experiments investigated whether these pronounced sequential effects are also found with separable-dimension stimuli. Four experiments using two different types of separable dimensions were conducted. The results indicated that similar patterns of sequential effects were present for separable-dimension stimuli, but, unlike for integral dimensions, the effect of a change in the irrelevant dimension in the filtering task was not found. Further, for separable dimensions, the overall pattern of sequential effects did not vary between the Garner tasks (i.e., control, correlated, and filtering). To explain these results, we fit a sequence-sensitive exemplar model and compared the fits of this model to a novel sequence-sensitive feature model, in which only the relevant feature influences the categorization decision. We found that the full exemplar model provided a more compelling account of both our separable dimension data and the integral dimension data of Little et al. (2016). These findings provide a more complete understanding of perceptual categorization and add to the growing body of literature on the prevalence and critical implications of strong sequential effects in cognitive tasks. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
Language	English
Publishing date	2022-11-17
Publishing country	United States
Document type	Journal Article
ZDB-ID	189732-9
ISSN	1939-2222 ; 0096-3445
ISSN (online)	1939-2222
ISSN	0096-3445
DOI	10.1037/xge0001321
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Article ; Online: Collagen Scaffolds Laden with Human Periodontal Ligament Fibroblasts Promote Periodontal Regeneration in SD Rat Model.

Chang, Yi-Tao / Lai, Chuan-Ching / Lin, Dan-Jae

Polymers

2023 Volume 15, Issue 12

Abstract: Periodontitis, a chronic inflammatory disease caused by microbial communities carrying pathogens, leads to the loss of tooth-supporting tissues and is a significant contributor to tooth loss. This study aims to develop a novel injectable cell-laden ... ...

Abstract	Periodontitis, a chronic inflammatory disease caused by microbial communities carrying pathogens, leads to the loss of tooth-supporting tissues and is a significant contributor to tooth loss. This study aims to develop a novel injectable cell-laden hydrogel consisted of collagen (COL), riboflavin, and a dental light-emitting diode (LED) photo-cross-linking process for periodontal regeneration. Utilizing α-SMA and ALP immunofluorescence markers, we confirmed the differentiation of human periodontal ligament fibroblasts (HPLFs) into myofibroblasts and preosteoblasts within collagen scaffolds in vitro. Twenty-four rats with three-wall artificial periodontal defects were divided into four groups, Blank, COL_LED, COL_HPLF, and COL_HPLF_LED, and histomorphometrically assessed after 6 weeks. Notably, the COL_HPLF_LED group showed less relative epithelial downgrowth (
Language	English
Publishing date	2023-06-12
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2527146-5
ISSN	2073-4360 ; 2073-4360
ISSN (online)	2073-4360
ISSN	2073-4360
DOI	10.3390/polym15122649
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Article ; Online: Domain-Specific Outcome Measures in Clinical Trials of Therapies Promoting Stroke Recovery: A Suggested Blueprint.

Cramer, Steven C / Lin, David J / Finklestein, Seth P

Stroke

2023 Volume 54, Issue 3, Page(s) e86–e90

Abstract: Different deficits recover to different degrees and with different time courses after stroke, indicating that plasticity differs across the brain's neural systems after stroke. To capture these differences, domain-specific outcome measures have received ... ...

Abstract	Different deficits recover to different degrees and with different time courses after stroke, indicating that plasticity differs across the brain's neural systems after stroke. To capture these differences, domain-specific outcome measures have received increased attention. Such measures have potential advantages over global outcome scales, which combine recovery across many domains into a single score and so blur the ability to capture individual measures of stroke recovery. Use of a global end point to rate disability can overlook substantial recovery in specific domains, such as motor or language, and may not differentiate between good and poor recovery for specific neurological domains. In light of these points, a blueprint is proposed for using domain-specific outcome measures in stroke recovery trials. Key steps include selecting a domain in the context of preclinical data, picking a domain-specific clinical trial end point, anchoring inclusion criteria to this end point, scoring this end point both before and after treatment, and then pursuing regulatory approval on the basis of the domain-specific results. This blueprint is intended to foster clinical trials that, by using domain-specific end points, are able to demonstrate favorable results in clinical trials of therapies that promote stroke recovery.
MeSH term(s)	Humans ; Stroke/therapy ; Language
Language	English
Publishing date	2023-02-27
Publishing country	United States
Document type	Journal Article ; Review ; Research Support, N.I.H., Extramural ; Research Support, U.S. Gov't, Non-P.H.S.
ZDB-ID	80381-9
ISSN	1524-4628 ; 0039-2499 ; 0749-7954
ISSN (online)	1524-4628
ISSN	0039-2499 ; 0749-7954
DOI	10.1161/STROKEAHA.122.042313
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Zs.A 448: Show issues

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Article ; Online: Neurorecovery after Critical COVID-19 Illness.

Alabsi, Haitham / Emerson, Kristi / Lin, David J

Seminars in neurology

2023 Volume 43, Issue 2, Page(s) 312–320

Abstract: With the hundreds of millions of people worldwide who have been, and continue to be, affected by pandemic coronavirus disease (COVID-19) and its chronic sequelae, strategies to improve recovery and rehabilitation from COVID-19 are critical global public ... ...

Abstract	With the hundreds of millions of people worldwide who have been, and continue to be, affected by pandemic coronavirus disease (COVID-19) and its chronic sequelae, strategies to improve recovery and rehabilitation from COVID-19 are critical global public health priorities. Neurologic complications have been associated with acute COVID-19 infection, usually in the setting of critical COVID-19 illness. Neurologic complications are also a core feature of the symptom constellation of long COVID and portend poor outcomes. In this article, we review neurologic complications and their mechanisms in critical COVID-19 illness and long COVID. We focus on parallels with neurologic disease associated with non-COVID critical systemic illness. We conclude with a discussion of how recent findings can guide both neurologists working in post-acute neurologic rehabilitation facilities and policy makers who influence neurologic resource allocation.
MeSH term(s)	Humans ; COVID-19/complications ; SARS-CoV-2 ; Post-Acute COVID-19 Syndrome ; Nervous System Diseases/diagnosis ; Nervous System Diseases/etiology ; Nervous System Diseases/therapy ; Acute Disease
Language	English
Publishing date	2023-05-11
Publishing country	United States
Document type	Review ; Journal Article
ZDB-ID	603165-1
ISSN	1098-9021 ; 0271-8235
ISSN (online)	1098-9021
ISSN	0271-8235
DOI	10.1055/s-0043-1768714
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Zs.A 1737: Show issues

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Article: Prognostication in Prolonged and Chronic Disorders of Consciousness

Carlson, Julia M. / Lin, David J.

Seminars in Neurology

(Neuroprognostication)

2023 Volume 43, Issue 05, Page(s) 744–757

Series title	Neuroprognostication
Abstract	Patients with prolonged disorders of consciousness (DOCs) longer than 28 days may continue to make significant gains and achieve functional recovery. Occasionally, this recovery trajectory may extend past 3 (for nontraumatic etiologies) and 12 months (for traumatic etiologies) into the chronic period. Prognosis is influenced by several factors including state of DOC, etiology, and demographics. There are several testing modalities that may aid prognostication under active investigation including electroencephalography, functional and anatomic magnetic resonance imaging, and event-related potentials. At this time, only one treatment (amantadine) has been routinely recommended to improve functional recovery in prolonged DOC. Given that some patients with prolonged or chronic DOC have the potential to recover both consciousness and functional status, it is important for neurologists experienced in prognostication to remain involved in their care.
Keywords	disorders of consciousness ; prognosis ; unresponsive wakefulness syndrome ; minimally conscious state ; coma
Language	English
Publishing date	2023-09-27
Publisher	Thieme Medical Publishers, Inc.
Publishing place	Stuttgart ; New York
Document type	Article
ZDB-ID	603165-1
ISSN	1098-9021 ; 0271-8235
ISSN (online)	1098-9021
ISSN	0271-8235
DOI	10.1055/s-0043-1775792
Database	Thieme publisher's database

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Article ; Online: Principles of Neural Repair and Their Application to Stroke Recovery Trials.

Lin, David J / Cramer, Steven C

Seminars in neurology

2021 Volume 41, Issue 2, Page(s) 157–166

Abstract: Neural repair is the underlying therapeutic strategy for many treatments currently under investigation to improve recovery after stroke. Repair-based therapies are distinct from acute stroke strategies: instead of salvaging threatened brain tissue, the ... ...

Abstract	Neural repair is the underlying therapeutic strategy for many treatments currently under investigation to improve recovery after stroke. Repair-based therapies are distinct from acute stroke strategies: instead of salvaging threatened brain tissue, the goal is to improve behavioral outcomes on the basis of experience-dependent brain plasticity. Furthermore, timing, concomitant behavioral experiences, modality specific outcome measures, and careful patient selection are fundamental concepts for stroke recovery trials that can be deduced from principles of neural repair. Here we discuss core principles of neural repair and their implications for stroke recovery trials, highlighting related issues from key studies in humans. Research suggests a future in which neural repair therapies are personalized based on measures of brain structure and function, genetics, and lifestyle factors.
MeSH term(s)	Brain ; Humans ; Neurosurgical Procedures ; Outcome Assessment, Health Care ; Recovery of Function ; Stroke/therapy ; Stroke Rehabilitation
Language	English
Publishing date	2021-03-04
Publishing country	United States
Document type	Journal Article
ZDB-ID	603165-1
ISSN	1098-9021 ; 0271-8235
ISSN (online)	1098-9021
ISSN	0271-8235
DOI	10.1055/s-0041-1725140
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Article ; Online: A Residual U-Net Neural Network for Seismocardiogram Denoising and Analysis During Physical Activity.

Nikbakht, Mohammad / Chan, Michael / Lin, David J / Gazi, Asim H / Inan, Omer T

IEEE journal of biomedical and health informatics

2024 Volume PP

Abstract: Seismocardiogram (SCG) signals are noninvasively obtained cardiomechanical signals containing important features for cardiovascular health monitoring. However, these signals are prone to contamination by motion noise, which can significantly impact ... ...

Abstract	Seismocardiogram (SCG) signals are noninvasively obtained cardiomechanical signals containing important features for cardiovascular health monitoring. However, these signals are prone to contamination by motion noise, which can significantly impact accuracy and robustness of the measurements. A deep learning model based on the U-Net architecture is proposed to recover SCG signals contaminated by motion noise induced by walking. The model performance was evaluated through qualitative visualization, as well as quantitative analyses. Quantitative analyses included distance-based comparisons before and after applying our model. Analyses also included assessments of the model's efficacy in improving the performance of downstream tasks related to health parameter estimation during walking. Experimental findings revealed that the denoising model improved similarity to clean signals by approximately 90%. The performance of the model in enhancing heart rate estimation demonstrated a mean absolute error of 1.21 BPM and a root-mean-squared error (RMSE) of 1.97 BPM during walking after denoising with 9.16 BPM and 10.38 BPM improvements, respectively, compared to without denoising. Furthermore, the RMSEs of aortic opening and aortic closing time estimation after denoising for one dataset with catheter ground truth were 7.29 ms and 19.71 ms during walking, respectively, with 50.33 ms and 51.91 ms RMSE improvements compared to without denoising. And for another dataset with ICG-derived PEP ground truth, the RMSE of aortic opening time estimation after denoising was 10.21 ms during walking, with 38.74 ms RMSE improvement compared to without denoising. The proposed model attenuates motion noise from corrupted SCG signals while preserving cardiac information. This development paves the way for improved ambulatory cardiac health monitoring using wearable accelerometers during daily activities.
Language	English
Publishing date	2024-04-22
Publishing country	United States
Document type	Journal Article
ZDB-ID	2695320-1
ISSN	2168-2208 ; 2168-2194
ISSN (online)	2168-2208
ISSN	2168-2194
DOI	10.1109/JBHI.2024.3392532
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Zs.A 5483: Show issues

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Article ; Online: Designing Clinical MRI for Enhanced Workflow and Value.

Lin, Dana J / Doshi, Ankur M / Fritz, Jan / Recht, Michael P

Journal of magnetic resonance imaging : JMRI

2023

Abstract: MRI is an expensive and traditionally time-intensive modality in imaging. With the paradigm shift toward value-based healthcare, radiology departments must examine the entire MRI process cycle to identify opportunities to optimize efficiency and enhance ... ...

Abstract	MRI is an expensive and traditionally time-intensive modality in imaging. With the paradigm shift toward value-based healthcare, radiology departments must examine the entire MRI process cycle to identify opportunities to optimize efficiency and enhance value for patients. Digital tools such as "frictionless scheduling" prioritize patient preference and convenience, thereby delivering patient-centered care. Recent advances in conventional and deep learning-based accelerated image reconstruction methods have reduced image acquisition time to such a degree that so-called nongradient time now constitutes a major percentage of total room time. For this reason, architectural design strategies that reconfigure patient preparation processes and decrease the turnaround time between scans can substantially impact overall throughput while also improving patient comfort and privacy. Real-time informatics tools that provide an enterprise-wide overview of MRI workflow and Picture Archiving and Communication System (PACS)-integrated instant messaging can complement these efforts by offering transparent, situational data and facilitating communication between radiology team members. Finally, long-term investment in training, recruiting, and retaining a highly skilled technologist workforce is essential for building a pipeline and team of technologists committed to excellence. Here, we highlight various opportunities for optimizing MRI workflow and enhancing value by offering many of our own on-the-ground experiences and conclude by anticipating some of the future directions for process improvement and innovation in clinical MR imaging. EVIDENCE LEVEL: N/A TECHNICAL EFFICACY: Stage 1.
Language	English
Publishing date	2023-10-05
Publishing country	United States
Document type	Journal Article ; Review
ZDB-ID	1146614-5
ISSN	1522-2586 ; 1053-1807
ISSN (online)	1522-2586
ISSN	1053-1807
DOI	10.1002/jmri.29038
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