a very cool study: directional preference in action - elevation physiotherapy & wellness - feringsteve - in a previous blog, i was mentioning the mckenzie system of mechanical diagnosis and therapy (mdt) and outlined what a “directional preference” is: the
woodward chiro - north dallas - how to address low back pain by using flexion directional preference exercises.
when most people think of mckenzie method, they think of extension based exercises and herniated disks. that is but the tip of the iceberg. a true understanding of the system that mckenzie offers can...
the mckenzie method is a type of physical therapy and exercise that centralizes pain, and then focuses on self-healing techniques, including exercise.
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how do you know which way to exercise your back? the way you prefer.
although this systematic review showed mixed results, some evidence was found supporting the effectiveness of dpm when applied to participants with a dp, particularly at short-term and intermediate-term follow-ups. background providing specific treatment based on symptom response for people with low back pain (lbp) and a directional preference (dp) is a widely used treatment approach. the efficacy of treatment using the principles of directional preference management (dpm) for lbp is unclear. objective the purpose of this study was to determine the efficacy of treatment using the principles of dpm for people with lbp and a dp. methods computer databases were searched for randomized controlled trials (rcts) published in english up to january 2010. only rcts investigating dpm for people with lbp and a dp were included. outcomes for pain, back specific function, and work participation were extracted. results six rcts were included in this review. five were considered high quality. clinical heterogeneity of the included trials prevented meta-analysis. grade quality assessment revealed mixed results; however, moderate evidence was identified that dpm was significantly more effective than a number of comparison treatments for pain, function, and work participation at short-term, intermediate-term, and long-term follow-ups. no trials found that dpm was significantly less effective than comparison treatments. conclusions although this systematic review showed mixed results, some evidence was found supporting the effectiveness of dpm when applied to participants with a dp, particularly at short-term and intermediate-term follow-ups. further high-quality rcts are warranted to evaluate the effect of dpm applied to people with lbp and a dp.
fine-grained control over large language models (llms) remains a significant challenge, hindering their adaptability to diverse user needs. while reinforcement learning from human feedback (rlhf) shows promise in aligning llms, its reliance on scalar rewards often limits its ability to capture diverse user preferences in real-world applications. to address this limitation, we introduce the directional preference alignment (dpa) framework. unlike the scalar-reward rlhf, dpa incorporates multi-objective reward modeling to represent diverse preference profiles. additionally, dpa models user preferences as directions (i.e., unit vectors) in the reward space to achieve user-dependent preference control. our method involves training a multi-objective reward model and then fine-tuning the llm with a preference-conditioned variant of rejection sampling finetuning (rsf), an rlhf method adopted by llama 2. this method enjoys a better performance trade-off across various reward objectives. in comparison with the scalar-reward rlhf, dpa offers users intuitive control over llm generation: they can arithmetically specify their desired trade-offs (e.g., more helpfulness with less verbosity). we also validate the effectiveness of dpa with real-world alignment experiments on mistral-7b. our method provides straightforward arithmetic control over the trade-off between helpfulness and verbosity while maintaining competitive performance with strong baselines such as direct preference optimization (dpo).
introduction: the mckenzie method, also known as mechanical diagnosis and therapy (mdt), is currently one of the most well-known methods for diagnosing and treating spinal and limb pain syndromes. the study aimed to analyze the self-observations of the symptom characteristics in comparison with...
find out the difference between the flexion and extension bias and how a directional preference helps classify back pain.
neurons responding sensitively to motions in several rather than all directions have been identified in many sensory systems. although this directional preference has been demonstrated by previous studies to exist in the isthmi pars magnocellularis (imc) of pigeon (columba livia), which plays a key role in the midbrain saliency computing network, the dynamic response characteristics and the physiological basis underlying this phenomenon are unclear. herein, dots moving in 16 directions and a biologically plausible computational model were used. we found that pigeon imc’s significant responses for objects moving in preferred directions benefit the long response duration and high instantaneous firing rate. furthermore, the receptive field structures predicted by a computational model, which captures the actual directional tuning curves, agree with the real data collected from population imc units. these results suggested that directional preference in imc may be internally prebuilt by elongating the vertical axis of the receptive field, making predators attack from the dorsal-ventral direction and conspecifics flying away in the ventral-dorsal direction, more salient for avians, which is of great ecological and physiological significance for survival.
the mckenzie method of mechanical diagnosis and therapy is a biopsychosocial system of musculoskeletal care emphasizing patient empowerment & self-treatment
find your directional preference for low back pain to identify your back's preferred movement direction for effective treatment.
this blog shares a video with a great demonstration of directional preference in a shoulder and the potential of self-treatment using mckenzie method.
researchers have been studying approaches to steer the behavior of large language models (llms) and build personalized llms tailored for various applications. while fine-tuning seems to be a direct solution, it requires substantial computational resources and may significantly affect the utility of the original llm. recent endeavors have introduced more lightweight strategies, focusing on extracting "steering vectors" to guide the model's output toward desired behaviors by adjusting activations within specific layers of the llm's transformer architecture. however, such steering vectors are directly extracted from the activations of human preference data and thus often lead to suboptimal results and occasional failures, especially in alignment-related scenarios. this work proposes an innovative approach that could produce more effective steering vectors through bi-directional preference optimization. our method is designed to allow steering vectors to directly influence the generation probability of contrastive human preference data pairs, thereby offering a more precise representation of the target behavior. by carefully adjusting the direction and magnitude of the steering vector, we enabled personalized control over the desired behavior across a spectrum of intensities. extensive experimentation across various open-ended generation tasks, particularly focusing on steering ai personas, has validated the efficacy of our approach. moreover, we comprehensively investigate critical alignment-concerning scenarios, such as managing truthfulness, mitigating hallucination, and addressing jailbreaking attacks. remarkably, our method can still demonstrate outstanding steering effectiveness across these scenarios. furthermore, we showcase the transferability of our steering vectors across different models/loras and highlight the synergistic benefits of applying multiple vectors simultaneously.
low back pain is usually nonspecific or mechanical. mechanical low back pain arises intrinsically from the spine, intervertebral disks, or surrounding soft tissues. clinical clues, or red flags, may help identify cases of nonmechanical low back pain and prompt further evaluation or imaging. red flags include progressive motor or sensory loss, new urinary retention or overflow incontinence, history of cancer, recent invasive spinal procedure, and significant trauma relative to age. imaging on initial presentation should be reserved for when there is suspicion for cauda equina syndrome, malignancy, fracture, or infection. plain radiography of the lumbar spine is appropriate to assess for fracture and bony abnormality, whereas magnetic resonance imaging is better for identifying the source of neurologic or soft tissue abnormalities. there are multiple treatment modalities for mechanical low back pain, but strong evidence of benefit is often lacking. moderate evidence supports the use of nonsteroidal anti-inflammatory drugs, opioids, and topiramate in the short-term treatment of mechanical low back pain. there is little or no evidence of benefit for acetaminophen, antidepressants (except duloxetine), skeletal muscle relaxants, lidocaine patches, and transcutaneous electrical nerve stimulation in the treatment of chronic low back pain. there is strong evidence for short-term effectiveness and moderate-quality evidence for long-term effectiveness of yoga in the treatment of chronic low back pain. various spinal manipulative techniques (osteopathic manipulative treatment, spinal manipulative therapy) have shown mixed benefits in the acute and chronic setting. physical therapy modalities such as the mckenzie method may decrease the recurrence of low back pain and health care expenditures. physical therapy modalities such as the mckenzie method may decrease the recurrence of low back pain and use of health care. educating patients on prognosis and incorporating psychosocial components of care such as identifying comorbid psychological problems and barriers to treatment are essential components of long-term management.
get information on extension bias and how you might position your spine to manage your back pain and other symptoms.
the purpose of this study is to determine the effects of directional preference exercises in comparison to motor control exercises in patients with mechanical low back pain
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we are excited to announce our healthy back on-line exercise program.
europe pmc is an archive of life sciences journal literature.
the kdt neural-flex allows prone extension directional preference positioning which takes advantage of migration patterns in posterior discs
2 common examination findings that have been studied as criteria for classifying patients with low back pain, according to the patient response method, are ➡️directional preference (dp) and ➡️centralization (cen). dp has been defined as either 1️⃣ a specific direction of trunk movement or posture no
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published in 2016 by journal of orthopaedic and sports physical therapy. authors: knol d.,apeldoorn a.,ostelo r.,kamper s.,van helvoirt h.,meihuizen h.,tempelman h.,vandeput d.
this resource is for clients wanting to take control of back pain that is radiating down the leg. directional preference exercise, or stretching in a direction that reduces or brings symptoms closer to your back, can be useful to help control symptoms early on during the rehabilitation process. this intervention outlines some strategies that can help move the pain out of the leg during recovery.