Frequently Asked Questions
Why is Sigmund better than standard mental condition scales?
Standard psychiatric scales such as PHQ-9, HAM-D and GAD-7 are very short and don’t consider genetic predispositions or extensive biometric factors. These types of subjective, patient-self-reports are fraught with error potential and are believed to be a significant cause of mis/overdiagnosis and follow-on misprescription. The standard scales are often used by primary care physicians (family doctors) who can be undertrained in psychiatric matters and heavily biased by their own individual experience. Sigmund considers extensive, comprehensive, objective data and is guided by multiple psychiatric experts and corroborated/calibrated by DNA/EEG data. Sigmund is highly informed, highly and specifically trained, and bias-mitigated.
Why is AI well suited to mental condition diagnosis?
AI-based decision support systems significantly improve clinical decision-making in mental health through several key mechanisms:
Enhanced diagnostic accuracy: AI systems can process large amounts of patient data, including neuroimaging, EEG, and behavioral indicators, to identify complex patterns that may not be easily detectable by human clinicians. This leads to more accurate and consistent diagnoses of mental health conditions.
Personalized treatment recommendations: AI algorithms can analyze individual patient characteristics, including genetic profiles, medical histories, and treatment outcomes, to suggest tailored treatment plans. This personalized approach optimizes treatment efficacy and minimizes risks.
Early detection and intervention: AI systems excel at analyzing subtle indicators and risk factors, enabling earlier identification of mental health symptoms. This facilitates timely intervention, potentially improving patient outcomes.
Support for shared decision-making: AI systems can provide probabilities of remission for different treatments, encouraging clinicians to discuss options with patients. This promotes shared decision-making and patient engagement in their care.
Integration of multiple data sources: AI can synthesize information from various sources, including brain scans, electronic health records, and behavioral patterns, creating a more comprehensive picture of a patient’s condition.
Improved treatment selection: AI systems can operationalize clinical guidelines and combine them with predictive analytics to assist clinicians in selecting the most appropriate treatments.
Interpretability for clinician trust: Advanced AI systems provide “interpretability reports” that explain the factors contributing to their predictions, addressing the issue of trust and transparency in AI-assisted decision-making.
While AI-based decision support systems show great promise in improving mental health care, it’s important to note that they are designed to augment, not replace, clinical expertise. These systems aim to support clinicians in making more informed decisions, ultimately leading to better patient outcomes in mental health care.
What Sigmund doesn’t do.
Sigmund provides a highly-informed baseline that informs personalized treatment alternatives. Generally, in cases of significant anxiety/depression predispositions, these conditions should be treated in advance of performance improvement initiatives. Sigmund does not directly treat conditions or performance improvement.
What role does DNA play in Sigmund's assessment?
DNA provides the foundation of a person’s development, but can be all (at least at this point in DNA understanding). The “house” that gets built on your DNA foundation is largely a function of your development environment over your lifetime. Many mental conditions are believed to be polygenic, i.e. no single genetic marker is the cause, rather multiple markers are needed to catalyze development. Generally speaking, the more relevant markers present, the higher the predisposition. This said, mental conditions can develop when no markers are present, and not develop when multiple markers are present. So, while DNA markers can be used to “support” an assessment, they cannot be solely relied upon.
Can I use DNA data that I already have?
No. DNA panels are comprised of a combination of specific markers called SNPs and alleles. Panels are designed for specific purposes. Some are for genealogy (ancestry), some are for drug interactions (pharmacogenomics), some are for disease (somatic), etc.. Sigmund’s panel is designed specifically for anxiety and depression predispositions and cannot use data other panels.
Are emotionally balanced people likely to be more physically healthy?
Yes, emotionally sound people are generally more likely to be physically healthy. There is a strong bidirectional relationship between mental and physical health, with each significantly influencing the other. People with good mental health tend to have better physical health outcomes for several reasons:
Healthier lifestyle choices: Emotionally stable individuals are more likely to engage in regular physical activity, maintain a nutritious diet, and get adequate sleep.
Reduced risk of chronic conditions: Positive psychological well-being can lower the risks of heart attacks, strokes, and other chronic physical conditions.
Better stress management: Good mental health helps in coping with stress, which can have detrimental effects on physical health if left unchecked.
Improved immune function: Positive mental states are associated with better immune system functioning, leading to increased resistance to illnesses.
Higher treatment adherence: Emotionally sound individuals are more likely to follow through with medical treatments and preventive care.
Social support: Good mental health often correlates with stronger social connections, which can provide emotional and practical support for maintaining physical health.
It’s important to note that this relationship is reciprocal; physical health also significantly impacts mental well-being. Therefore, a holistic approach to health that addresses both mental and physical aspects is crucial for overall well-being.
What is the IZOF/Yerkes-Dodson performance method?
The Yerkes-Dodson Law is a general psychological principle that describes the relationship between arousal (or stress) and performance. The law suggests that performance increases with physiological or mental arousal, but only up to a certain point. Beyond that optimal level, performance begins to decline as arousal becomes too high. Individual Zones of Optimal Functioning (“IZOF”) is a more personalized approach.
Here’s how it breaks down:
Low Arousal: When arousal or stress is too low, people may feel bored, unmotivated, or disengaged, leading to poor performance.
Optimal Arousal: At a moderate level of arousal, performance peaks. This is the “sweet spot” where focus, motivation, and energy align for maximum efficiency.
High Arousal: When arousal exceeds the optimal level (e.g., extreme stress or anxiety), performance drops due to overwhelm, panic, or inability to concentrate.
The relationship is often depicted as an inverted U-shaped curve, with arousal on the x-axis and performance on the y-axis. The exact position of the peak can vary depending on the task – simple tasks may tolerate higher arousal, while complex tasks often require lower arousal for peak performance.
How individuals react to stressors is a function of how they are “built”. An example is when an athlete excels with some adrenaline but falter (choke) if the pressure becomes overwhelming.
What is Alpha-Stim?
Alpha-Stim is a prescription medical device that uses cranial electrotherapy stimulation (CES) to treat conditions such as anxiety, insomnia, depression, and pain. It delivers a low-intensity, pulsed electrical microcurrent (50–500 microamperes) through small clips attached to the earlobes, stimulating specific brain nerve cells to modulate brain activity. The device is designed to increase alpha brainwave activity, which is associated with relaxation, helping to normalize mood, improve sleep, and reduce pain. There are two main models:
Alpha-Stim AID: Focuses on CES for anxiety, insomnia, and depression (FDA-cleared for these in the U.S., approved for depression outside the U.S.).
Alpha-Stim M: Combines CES with microcurrent electrical therapy (MET) for acute, chronic, or post-traumatic pain, using probes or electrodes applied to the body.
Key Features:
Non-invasive and drug-free: Safe with minimal side effects (e.g., headaches in 0.1% of users, skin irritation in 0.07%).
Portable: Phone-sized, battery-powered, and usable at home or in clinical settings for 20–60 minutes daily or as needed.
FDA-cleared: Supported by over 100 clinical studies showing efficacy, though some studies suggest it may not outperform sham devices in all cases (e.g., for major depression).
Cost: Alpha-Stim AID costs ~$840, and Alpha-Stim M ~$1,299 in the U.S., requiring a prescription. Insurance coverage varies.
How It Works: The microcurrent modulates large-scale brain network activity, potentially normalizing signaling in the default mode network linked to psychiatric disorders. For pain, MET targets peripheral pain circuits from the spinal cord. Users may feel a slight tingling or dizziness (adjusted by lowering the current) and often report a relaxed, calm state during or after treatment.
Effectiveness: Studies show significant relief for anxiety (e.g., 63% improvement in NHS trials) and pain (90% of users report relief in surveys). Mixed results for depression, with some trials showing no significant difference from sham devices.
Benefits vary; some experience immediate relief, while others require multiple sessions.
Considerations:
Not suitable for those with implanted pacemakers or during pregnancy (safety not established).
Some users report challenges with device setup (e.g., ear clips, battery issues) or cost barriers.
It’s often used alongside therapy or medication, not as a replacement.
What is SuperBetter?
SuperBetter is a gamified mobile and web-based app designed to build resilience and improve mental well-being by encouraging users to complete small, customizable tasks and overcome challenges in a game-like framework. It incorporates evidence-based principles from cognitive-behavioral therapy (CBT), positive psychology, and acceptance and commitment therapy (ACT) to address mental health challenges, including anxiety and depression. Below is an evaluation of its effectiveness for anxiety and depression treatment based on available evidence, including its lack of FDA clearance for these conditions. SuperBetter is not FDA cleared.
Effectiveness for Anxiety and Depression Supporting Evidence:
Randomized Controlled Trial (RCT) at the University of Pennsylvania (2015):
Study Details: A 2015 RCT with 283 adult iPhone users experiencing significant depressive symptoms (measured by the Center for Epidemiological Studies Depression Scale, CES-D) evaluated SuperBetter over 30 days. Participants were assigned to one of three groups: a CBT- and positive psychology-focused SuperBetter version (CBT-PPT SB), a general SuperBetter version (General SB), or a waitlist control group.
Findings: Both SuperBetter versions significantly reduced symptoms of depression (49% symptom decline) and anxiety (61% symptom decline) compared to the control group after 30 days.
Participants also reported increased optimism, self-efficacy, perceived social support, and life satisfaction. The CBT-PPT version showed slightly larger effect sizes for depression reduction.
Limitations: High attrition rates and a self-selected, motivated sample suggest caution in generalizing results. The study was conducted on adults with mild to moderate symptoms, not severe clinical diagnoses.
Meta-Analyses of Smartphone Apps:
Two meta-analyses (published in World Psychiatry and Journal of Affective Disorders) found SuperBetter had the highest effect size among smartphone apps evaluated in RCTs for reducing symptoms of depression and anxiety. These analyses compared SuperBetter to other mental health apps, highlighting its strong performance in symptom reduction. However, the overall evidence base for mental health apps remains limited, and effect sizes may be inflated due to small sample sizes or study design issues.
SuperBetter appears effective for reducing mild to moderate anxiety and depression symptoms based on a 2015 RCT, meta-analyses, and user feedback, with significant reductions (49% for depression, 61% for anxiety) in 30 days.
Which are the most common mental conditions that affect mental and physical performance?
Depression and Anxiety are reported as the top two mental health issues in Canadian workplaces, with 37% of mental health problems attributed to Depression and 32% to Anxiety. 83% of chief executive officers report missing at least one day of work due to stress, burnout, or other mental health challenges. More than half of CEOs missed a full week of work in the past year due to mental health challenges. 53% of federal public service executives in Canada would describe their workplace as psychologically healthy, implying that a significant portion may be experiencing mental health issues. While these statistics don’t provide exact frequency rates for depression and anxiety specifically among executives, they indicate that mental health issues are highly prevalent in this group, with stress and burnout being significant contributors.
In the United States, Depression and Anxiety are also prevalent among executives and business leaders. According to recent data, the proportion of top US executives reporting mental health struggles increased from 12% in 2018 to 31% in 2022. A survey by Deloitte found that one in three C-suite executives constantly struggles with fatigue and poor mental health. 70% of C-suite executives have considered quitting their jobs to try to reset their emotional balance.
These statistics indicate a concerning trend of increasing mental health challenges among business leaders, with depression and anxiety being primary concerns. The high-pressure nature of executive roles, combined with the cascading crises of recent years, has contributed to this rise in reported mental health issues among business leaders.
See – https://www.hopkinsmedicine.org/health/wellness-and-prevention/mental-health-disorder-statistics
Why is it important to distinguish between Depression and Anxiety when considering performance?
Differentiating between Depression and Anxiety is crucial when considering performance enhancement due to their distinct effects on cognitive and behavioral functioning. Depression and Anxiety affect working memory differently. Anxiety tends to impair processing of negative content, while Depression primarily affects the updating of positive information in working memory. This distinction is important for tailoring cognitive interventions. Students with Anxiety or Depression typically perform academic tasks within a normal timeframe, unlike those with learning disabilities who often require extra time. This suggests that time-based accommodations may not be the most appropriate intervention for those with Anxiety or Depression. Understanding this difference is crucial for developing targeted interventions. The specific symptoms and underlying mechanisms of Depression and Anxiety require different therapeutic strategies. For example, cognitive bias modification interventions should target Anxiety-specific deficits in processing negative content and depression-specific deficits in updating positive content separately. Anxious Depression is associated with more severe symptoms and higher suicide risk than either condition alone. Recognizing this can inform the urgency and intensity of interventions. By accurately distinguishing between Depression and Anxiety, more effective, tailored strategies can be formed to enhance performance, addressing the specific cognitive and behavioral challenges associated with each condition.
See:
https://pmc.ncbi.nlm.nih.gov/articles/PMC9819093/
https://pubmed.ncbi.nlm.nih.gov/33148126/
https://cmha-yr.on.ca/breaking-the-cycle-of-performance-anxiety/
https://psychiatryonline.org/doi/10.1176/appi.ajp.2020.20030305
Can Depression cause physical health problems?
Yes. Depression significantly impacts physical health through multiple biological and behavioral mechanisms, creating a bidirectional relationship with chronic diseases. Key findings from recent research include chronic pain and musculoskeletal issues, joint/muscle pain (2-3x higher incidence), Headaches/migraines and fibromyalgia. Shared neurological pathways (serotonin/norepinephrine dysregulation) link pain perception and mood. Depression elevates risks for heart disease (61% higher hospitalization risk), hypertension, and stroke [16% higher incidence in depressed populations]. Depression is associated with Endocrine/Metabolic Dysregulation such as Type 2 diabetes (28% comorbidity rate), obesity (via appetite changes and fatigue), thyroid disorders, as well as bidirectional relationships showing depression worsens glycemic control. Depression has Immune System Consequences such as reduced vaccine efficacy, slowed wound healing, increased infection susceptibility, and chronic stress hormones suppress white blood cell production. With gastrointestinal disorders there is a higher prevalence of irritable bowel syndrome, persistent nausea, and appetite-related weight fluctuations.
A 2023 cohort study of 240,433 individuals found depression increases hospitalization risk for 29 physical conditions, with the highest cumulative incidence for:
- Endocrine diseases (245/1000 patients)
- Musculoskeletal disorders (91/1000)
- Circulatory conditions (86/1000)
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This evidence underscores the need for integrated treatment approaches addressing both mental and physical health components.
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See:
https://pmc.ncbi.nlm.nih.gov/articles/PMC486942/
https://jamanetwork.com/journals/jamapsychiatry/fullarticle/2804269
https://www.medicalnewstoday.com/articles/322395
https://www.webmd.com/depression/how-depression-affects-your-body
https://www.cigna.com/knowledge-center/physical-symptoms-of-depression
Can Depression affect physical performance?
Yes. Depression significantly impairs physical performance through interconnected biological and behavioral mechanisms. Chronic pain conditions like back pain, migraines, and fibromyalgia affect up to 60% of individuals with depression, directly limiting mobility and endurance. Sleep disturbances, including insomnia, plague 75% of those with depression, leading to persistent fatigue and reduced energy reserves necessary for physical tasks. Psychomotor retardation—a hallmark of depression—slows movement coordination and reaction times, while neurotransmitter imbalances (particularly serotonin and norepinephrine) lower pain thresholds and disrupt motor function. These factors create a cyclical pattern: diminished physical capacity exacerbates social withdrawal and inactivity, further deepening depressive symptoms. Additionally, appetite changes and metabolic disruptions associated with depression can reduce muscular strength and cardiovascular efficiency, compounding performance deficits.
Can Depression affect mental performance?
Yes. Depression significantly impairs mental performance through both functional and structural neurological changes. Cognitive deficits manifest across multiple domains, including memory impairment (particularly short-term and episodic memory) due to reduced hippocampal volume and disrupted dopamine activity during memory encoding. Executive functions like planning, problem-solving, and decision-making are compromised as depression disrupts prefrontal cortex activity, with studies showing diminished task-goal maintenance and cognitive flexibility. Attention and concentration are notably affected, with 75% of depressed individuals reporting difficulties sustaining focus, increased mind-wandering, and susceptibility to distractions—factors linked to altered neurotransmitter balance and gray matter loss in attention-related brain regions. Processing speed slows measurably, leading to delayed decision-making and challenges in following instructions or multitasking. Structural MRI studies reveal reduced gray matter volume in critical areas like the hippocampus (-19% in chronic cases) and prefrontal cortex, correlating with symptom severity. These cognitive impairments often create a feedback loop: diminished mental performance exacerbates feelings of inadequacy, while depressive rumination and negative emotional bias further degrade cognitive stamina and accuracy. Early intervention can mitigate these effects, as untreated depression accelerates hippocampal atrophy and cognitive decline.
Can Anxiety cause physical health problems?
Yes. Anxiety significantly impacts physical health through interconnected physiological pathways, with chronic anxiety creating systemic strain that increases vulnerability to multiple medical conditions. Chronic Anxiety elevates risks for tachycardia (persistent rapid heart rate), hypertension (30% higher incidence in anxious individuals), coronary artery disease (2x risk compared to non-anxious peers). Mechanisms involve prolonged cortisol exposure damaging blood vessels and increasing arterial plaque formation.
Anxiety directly affects digestive function through irritable bowel syndrome (50% comorbidity rate with anxiety disorders), functional dyspepsia (chronic indigestion without structural cause), altered gut motility causing diarrhea/constipation. The gut-brain axis can become hypersensitive, amplifying discomfort signals. Anxiety also exacerbates breathing disorders via asthma symptom escalation (6x higher asthma risk in panic disorder patients), COPD exacerbations requiring hospitalization, hyperventilation syndromes inducing dizziness and tingling, and dysregulated breathing patterns create cyclical worsening of symptoms. Persistent Anxiety weakens defenses through reduced lymphocyte production (40% decrease in vaccine efficacy), chronic inflammation linked to autoimmune disorders, slowed wound healing (2x longer recovery times). Stress hormones like cortisol deplete immune resources over time.
Anxiety manifests physically as chronic muscle tension leading to headaches/migraines (3x increased frequency), temporomandibular joint dysfunction from jaw clenching, and tremors and coordination difficulties during acute episodes. A 2022 cohort study of 40,360 patients revealed:
* 79% faster chronic condition accumulation in those with anxiety vs controls
* Cardiometabolic conditions developed 2.1 years earlier on average
* Multimorbidity risk increased by 140% with comorbid Anxiety/Depression
These physiological impacts create self-reinforcing cycles – physical symptoms heighten health anxiety, which worsens bodily stress responses. Integrated mind-body treatments (CBT, relaxation training, and pharmacotherapy when needed) demonstrate 68% reduction in somatic symptom severity when addressing both psychological and physical components.
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See:
https://www.healthline.com/health/anxiety/effects-on-body
https://pmc.ncbi.nlm.nih.gov/articles/PMC7384626/
https://www.medicalnewstoday.com/articles/322510
https://www.health.harvard.edu/mind-and-mood/recognizing-and-easing-the-physical-symptoms-of-anxiety
https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2791768
Can Anxiety affect physical performance?
Yes. Anxiety significantly impairs physical performance. The “fight or flight” reaction triggered by Anxiety increases heart rate, redirects blood flow from muscles to the brain, and causes muscle tension, leading to premature fatigue and reduced coordination during physical tasks. Chronic anxiety heightens resting heart rate and blood pressure, diminishing cardiovascular efficiency and endurance over time. Breathing becomes rapid and shallow, which limits oxygen intake during exercise and exacerbates conditions like asthma, further reducing stamina and performance capacity. Additionally, prolonged Anxiety weakens the immune system through sustained cortisol release, slowing post-exertion recovery and increasing vulnerability to illness that disrupts training consistency. These physiological disruptions create a cycle where anxiety-induced physical limitations amplify stress, further degrading performance outcomes.
Can Anxiety affect mental performance?
Yes. Anxiety significantly impairs mental performance. Chronic anxiety elevates cortisol levels, which damages the hippocampus—a brain region critical for memory formation—and reduces its volume, leading to impaired working memory and increased dementia risk. This disrupts tasks requiring problem-solving, mental arithmetic, and following instructions. Anxiety also disrupts executive functions by overactivating the brain’s threat-detection systems, shifting attention from goal-oriented tasks to perceived threats. This impairs decision-making, sustained attention, and cognitive flexibility. For example, anxious individuals show narrowed visual focus and delayed processing during tasks requiring concentration. Anxiety monopolizes working memory resources, forcing the brain to exert more effort for similar performance levels, particularly in high-pressure scenarios. It also causes a hyperfocus on negative stimuli, worsening performance in dynamic tasks like sports anticipation or complex problem-solving. Prolonged Anxiety often leads to insomnia, further degrading memory consolidation and cognitive stamina.
Genetic and structural studies link anxiety to poorer emotion recognition and response inhibition, with overlapping neural circuitry for stress and cognitive control. While moderate Anxiety might briefly enhance alertness, chronic states overwhelm these systems, creating a cycle of declining mental performance.
What are the Depression and Anxiety diagnostic accuracy rates for general practitioners?
General Practitioners (GPs) have shown limited accuracy in diagnosing depression:
GPs correctly identified depression in 47.3% of cases.
Non-psychiatric physicians in consultation-liaison settings:
Achieved an overall accuracy of 55.20% for initial psychiatric diagnoses.
Accuracy was highest for substance use disorder (88.14%) and neurocognitive disorder (85.03%).
Anxiety disorders were accurately diagnosed in 50% of cases.
These results suggest that specialized mental health professionals likely have higher accuracy rates than general practitioners or non-psychiatric physicians.Â
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See:
Clinical diagnosis of depression in primary care: a meta-analysis – https://www.thelancet.com/journals/lancet/article/PIIS0140673609608795/abstract
Accuracy of general practitioner unassisted detection of depression –Â https://pmc.ncbi.nlm.nih.gov/articles/PMC4230951/
Accuracy of initial psychiatric diagnoses given by nonpsychiatric physicians – https://pmc.ncbi.nlm.nih.gov/articles/PMC7748330/
What factors influence the accuracy of Depression diagnosis by general practitioners?
Several factors influence the accuracy of Depression diagnoses by general practitioners (GPs):
Time constraints: The primary care setting often involves limited consultation time, which can interfere with thorough assessment of depressive symptoms.
Organizational factors: System-related barriers, such as difficulties in accessing mental health systems, can impact the diagnostic process.
GP’s awareness and competing demands: Lack of expertise in mental health and other responsibilities as a primary care provider can affect diagnostic accuracy. It’s important to note that GP unassisted diagnoses of depression have shown limited accuracy, with a meta-analysis indicating agreement with structured interviews in only 47% of cases. This underscores the need for continued improvement in diagnostic methods and GP training to enhance the accuracy of Depression diagnoses in primary care settings.
Gender bias: GPs may be more likely to diagnose female patients with Depression, potentially leading to over-diagnosis in women and under-diagnosis in men.
Age bias: Older patients may be more frequently diagnosed with Depression, which could result in both over-diagnosis in the elderly and under-diagnosis in younger populations.
Racial bias: GPs might more frequently diagnose racial minority patients as depressed when they are not, contributing to potential over-diagnosis in these groups.
Stereotyping: Low specificity in GP screening for Depression can lead to people without Depression being diagnosed with the condition, reflecting potential stereotyping in the diagnostic process.
Confidence bias: GPs’ self-reported confidence in their ability to identify Depression does not necessarily correlate with their actual diagnostic accuracy. This overconfidence may lead to missed cases or misdiagnoses.
Treatment preference bias: GPs who prefer antidepressants may be more likely to prescribe them, potentially influencing their diagnostic approach and leading to over-diagnosis of Depression in some cases.
Time constraint bias: The limited consultation time in primary care settings may lead GPs to rely on quick judgments or heuristics, potentially missing subtle cues or complex presentations of Depression.
Comorbidity bias: The presence of other medical conditions can complicate the diagnosis of Depression, especially in older patients, potentially leading to under-diagnosis or misattribution of symptoms.
These biases can result in both false positives (diagnosing Depression when it’s not present) and false negatives (failing to diagnose Depression when it is present). Studies have shown that GPs’ unassisted diagnoses of depression agree with structured interviews in only about 47% of cases, highlighting the significant impact of these biases on diagnostic accuracy.
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Sources:
https://academic.oup.com/fampra/article-abstract/36/1/3/5174724?redirectedFrom=fulltext&login=false
Does Sigmund provide a diagnosis?
No. Sigmund provides advanced, highly-informed assessments based on extensive data correlations with multiple calibrations and corroborations. While Sigmund’s assessments involve multiple psychiatrist’s diagnoses as “ground truths”, at this point in time, machines are not allowed to generate diagnoses.
Why use Environmental/Lifestyle and DNA data?
In a word, calibration. The more data types and points that support a conclusion, the higher the probability the conclusion is correct. Mental conditions are “heritable” to significant degrees but DNA alone is a low-quality predictor of a current mental state as DNA is subject to epigenetic forces that can change how DNA is expressed. Environmental (life) events data is very useful for predicting developmental probabilities, which probabilities are either supported or opposed by DNA predispositions.
How important is quality training data for a mental condition assessment tool?
Extremely important. Relevant, consistent, extensive, multi-type data is the foundation of accuracy and Sigmund and its Reference Database were built specifically for this purpose.
See Clinical Study and these articles:
https://www.nature.com/articles/s41591-022-01811-5
Is Sigmund based on the DSM?
Yes and no. The ground truths used are related to the DSM as interpreted by multiple psychiatric experts who each have their own interpretations but Sigmund goes much deeper by employing AI/machine-learning to explore interpretations beyond what humans are capable of.
How long does it take to get my report?
Typically, about 3 weeks. This is due to courier/post and lab processing times.
Are wearable devices effective at reducing Anxiety and Depression?
(we have no relationship with any of these device companies)
Research into wearable devices and their effectiveness in reducing anxiety and depression is still evolving, with some promising findings but limited conclusive evidence. Several devices have shown potential based on studies, user feedback, and clinical trials, though results vary in terms of scientific rigor and long-term impact.
Apollo Neuro: This wearable, worn on the wrist or ankle, uses gentle vibrations to stimulate the vagus nerve, aiming to calm the nervous system. Studies, including one from 2019 on High Amplitude Low Frequency-Music Impulse Stimulation (HALF-MIS), suggest this type of stimulation can enhance standard depression treatments. Apollo Neuro’s makers claim it improves mental wellbeing by reducing stress, with user reports supporting its calming effects. However, peer-reviewed evidence specific to Apollo Neuro remains limited, and more robust studies are needed.
Muse Headbands (Muse 2, Muse S): These brain-sensing headbands use EEG technology to monitor brain activity and guide users through meditation exercises. Small studies and user testimonials suggest Muse can help reduce stress and improve focus, potentially easing anxiety symptoms. For example, research on EEG-based biofeedback shows it can lower anxiety scores over time, as seen in a study where participants’ Generalized Anxiety Disorder (GAD-2) scores dropped after eight weeks of use with a similar device. Muse’s effectiveness for depression is less documented, but its focus on sleep and relaxation may indirectly help.
Fitbit/Apple watch-type Devices: Widely used fitness trackers like Fitbit monitor heart rate, sleep patterns, and physical activity—factors linked to mental health. A 2021 meta-analysis found that wearables measuring physical activity (e.g., via accelerometers) correlate with lower depression rates. Studies from 2019-2020, such as one from the Health Information National Trends Survey, showed that about one-third of adults with depression or anxiety use wearables like Fitbit, with some reporting improved self-awareness and motivation. However, these devices don’t directly reduce symptoms; their benefit lies in encouraging lifestyle changes that may support mental health.
Sensate: This chest-worn device uses sound and vibration to stimulate the vagus nerve, aiming to reduce stress and anxiety. A 2022 study commissioned by Sensate reported that over 65% of participants with anxiety and 50% with depression noted symptom improvement after regular use over 3.5 months. While these findings are encouraging, the study’s brand affiliation and lack of peer review call for cautious interpretation. Users often praise its quick relaxation effects, but broader evidence is still emerging.
TouchPoints: Developed by neuropsychologist Amy Serin, these wrist-worn devices use bilateral alternating stimulation (vibrations) to alter the brain’s stress response. Early research and user feedback suggest they can reduce anxiety and stress, with potential benefits for depression. A 2021 review of wearable studies noted their effectiveness in detecting depression symptoms via physiological markers, though direct evidence of TouchPoints’ impact is largely anecdotal or from small-scale trials.
Key Takeaways and Caveats
Evidence Level: Devices like Apollo Neuro, Muse, and Sensate have shown promise in small studies or brand-led research, often reducing symptoms by 50% or more in specific cases (e.g., Feel Therapeutics’ study showed a 50% drop in depression symptoms with a similar wearable). However, many lack large-scale, peer-reviewed validation. Fitbit’s benefits are more indirect, tied to behavior tracking rather than active intervention.
Mechanisms: Most of these wearables work by either providing biofeedback (e.g., Muse, Fitbit) or stimulating the nervous system (e.g., Apollo, Sensate, TouchPoints) to promote relaxation and emotional regulation.
Limitations: Research often highlights challenges like false positives, user adherence, and the complexity of mental health, which isn’t fully captured by physiological data alone. For instance, continuous monitoring might even increase anxiety in some users if misinterpreted.
While these devices aren’t a replacement for therapy or medication, they can complement traditional approaches, especially for mild to moderate symptoms. For the most reliable results, combining wearable use with professional guidance is likely the best approach based on current knowledge.
Is Light therapy effective at reducing Anxiety and Depression?
(again, no relationship)Â
Light therapy, often involving exposure to bright artificial light mimicking natural sunlight, has been studied extensively for Depression and increasingly for Anxiety and is recognized as an effective treatment for certain types of depression and shows promise for anxiety, though the evidence varies by condition and context. Here’s a breakdown based on current research and insights:
Depression: Light therapy is most established as a treatment for Seasonal Affective Disorder (SAD), a type of Depression linked to reduced sunlight in fall and winter. Meta-analyses, like one from 2016 in Psychological Medicine, found it significantly reduces depressive symptoms, with effect sizes comparable to antidepressants (around 0.5-0.6 on standardized scales). Typically, it involves 30-60 minutes of exposure to 10,000 lux light daily, often in the morning. Studies show:
Response Rates: Up to 50-80% of SAD patients experience symptom relief within 1-3 weeks, per a 2019 Journal of Affective Disorders review.
Non-Seasonal Depression: Evidence is less robust but growing. A 2015 JAMA Psychiatry study found light therapy combined with antidepressants outperformed either alone for major depressive disorder (MDD), with 40% of patients achieving remission versus 20% with medication only. A 2021 systematic review in Depression and Anxiety confirmed modest benefits for non-seasonal depression, especially when used as an adjunct.
The mechanism likely involves regulating circadian rhythms and boosting serotonin levels, which are often disrupted in Depression. Morning sessions seem most effective, aligning with the body’s natural clock.
Anxiety: For Anxiety, light therapy’s effectiveness is less clear and more conditional:
Comorbid Conditions: It’s often studied in people with both Anxiety and Depression, especially SAD. A 2020 study in Chronobiology International noted that 30% of SAD patients with Anxiety saw reduced symptoms after light therapy, likely due to improved sleep and mood stability.
Generalized Anxiety Disorder (GAD): Direct evidence is sparse. Small trials, like one from 2018 in Behavioral Sleep Medicine, suggest it may help by normalizing sleep patterns, a common Anxiety trigger. However, a 2022 review in Frontiers in Psychiatry found insufficient data to recommend it as a standalone treatment for GAD or other anxiety disorders.
Mechanistic Hints: Light exposure influences the hypothalamic-pituitary-adrenal (HPA) axis, which regulates stress. Animal studies and limited human data suggest it might dampen overactive stress responses, but this link is still speculative for Anxiety disorders.
Practical Considerations
Devices: Light therapy typically uses specialized lamps or visors emitting 2,500-10,000 lux. Wearables like the Re-Timer (glasses delivering light to the eyes) or Luminette have gained traction for portability, with user reports suggesting convenience boosts adherence.
Duration and Timing: 20-60 minutes daily, ideally in the morning, is standard. Evening use might disrupt sleep, potentially worsening anxiety or depression in sensitive individuals.
Does It Work?
Depression: Yes, especially for SAD, with solid evidence and clinical guidelines (e.g., American Psychiatric Association endorses it). For non-seasonal depression, it’s a helpful add-on but not a first-line fix.
Anxiety: Maybe. It’s not a proven standalone treatment, but it can indirectly help when anxiety ties to poor sleep or seasonal mood dips. More research is needed for broader claims.
Light therapy’s low cost and non-invasive nature make it worth trying, especially for Depression. For Anxiety, benefits are less certain unless paired with other symptoms light therapy targets. Combining it with therapy or medication often yields the best results. The science leans toward cautious optimism, strongest for Depression.
Can Sigmund be integrated into Electronic Medical Record (EMR”) systems?
Yes. Sigmund can be integrated with existing EMR (electronic medical record) systems, ensuring that your healthcare providers can make well-informed decisions with ease. Ask your doctor which EMR system he/she uses and let us know.