What is brain fog?

BACKGROUND: The term 'brain fog' is increasingly used colloquially to describe difficulties in the cognitive realm. But what is brain fog? What sort of experiences do people talk about when they talk about brain fog? And, in turn, what might this tell us about potential underlying pathophysiological mechanisms? This study examined first-person descriptions in order to better understand the phenomenology of brain fog. METHODS: Posts containing 'brain fog' were scraped from the social media platform Reddit, using python, over a week in October 2021. We examined descriptions of brain fog, themes of containing subreddits (topic-specific discussion forums), and causal attributions. RESULTS: 1663 posts containing 'brain fog' were identified, 717 meeting inclusion criteria. 141 first person phenomenological descriptions depicted forgetfulness (51), difficulty concentrating (43), dissociative phenomena (34), cognitive 'slowness' and excessive effort (26), communication difficulties (22), 'fuzziness' or pressure (10) and fatigue (9). 50% (363/717) posts were in subreddits concerned with illness and disease: including COVID-19 (87), psychiatric, neurodevelopmental, autoimmune and functional disorders. 134 posts were in subreddits about drug use or discontinuation, and 44 in subreddits about abstention from masturbation. 570 posts included the poster's causal attribution, the most frequent attribution being long COVID in 60/570 (10%). CONCLUSIONS: 'Brain fog' is used on Reddit to describe heterogeneous experiences, including of dissociation, fatigue, forgetfulness and excessive cognitive effort, and in association with a range of illnesses, drugs and behaviours. Encouraging detailed description of these experiences will help us better understand pathophysiological mechanisms underlying cognitive symptoms in health and disease.

COVID-19 and the Physio4FMD trial: Impact, mitigating strategies and analysis plans.

Introduction: Functional motor disorder (FMD) is a common cause of disabling neurological symptoms such as weakness and tremor. Physio4FMD is a pragmatic, multicentre single blind randomised controlled trial to evaluate effectiveness and cost effectiveness of specialist physiotherapy for FMD. Like many other studies this trial was affected by the COVID-19 pandemic. Methods: The planned statistical and health economics analyses for this trial are described, as well as the sensitivity analyses designed to assess the disruption caused by COVID-19. The trial treatment of at least 89 participants (33%) was disrupted due to the pandemic. To account for this, we have extended the trial to increase the sample size. We have identified four groups based on how participants' involvement in Physio4FMD was affected; A: 25 were unaffected; B: 134 received their trial treatment before the start of the COVID-19 pandemic and were followed up during the pandemic; C: 89 were recruited in early 2020 and had not received any randomised treatment before clinical services closed because of COVID-19; D: 88 participants were recruited after the trial was restarted in July 2021. The primary analysis will involve groups A, B and D. Regression analysis will be used to assess treatment effectiveness. We will conduct descriptive analyses for each of the groups identified and sensitivity regression analyses with participants from all groups, including group C, separately. Discussion: The COVID-19 mitigation strategy and analysis plans are designed to maintain the integrity of the trial while providing meaningful results. Trial registration: ISRCTN56136713.

Functional cognitive disorders: clinical presentations and treatment approaches.

Functional cognitive disorders (FCDs) are a common cause of subjective and mild cognitive impairment. Isolated FCDs commonly present to the cognitive clinic, but examination of the nature of the symptoms suggests that they can also be understood as a transdiagnostic feature of many other conditions. This article examines methods of formulating the cognitive difficulties in order to identify treatment targets in people with FCDs.

‘In a mist?’ – What is ‘brain fog’?

ObjectivesThe term ‘brain fog’ is increasingly used in social and other media. But what is brain fog? What sort of experiences do people talk about when they talk about brain fog? And, in turn, what might this tell us about potential underlying pathophysiological mechanisms? In this study we examined first-person descriptions of brain fog in order to better understand a) the phenomenology of brain fog, and b) the causal attributions of those describing brain fog. We use this information to consider implications for clinical research.MethodsData were scraped from the social media platform Reddit using Python. Posts containing ‘brain fog’ were identified between 27thOctober 2021 and 3rd November 2021. Those not describing or discussing brain fog as a symptom or experience were excluded. Potentially identifying information was removed prior to analysis. We undertook thematic analysis of containing subreddits (topic-specific discussion forums), causal attributions, and discrete brain fog experiences.Results1663 posts including the term ‘brain fog’ were identified, of which 717 met inclusion criteria.44% (315/717) posts originated from subreddits concerned with illness and disease: including COVID-19 (87 posts), autoimmune, functional, neurodevelopmental, major psychiatric, and endocrine disorders. Brain fog was also discussed in subreddits about prescribed and non-prescribed drug use, and subreddits concerned with intentional restriction of masturbation (‘nofap’).141 first person descriptions of brain fog described overlapping concepts including: forgetfulness (51), difficulty concentrating (43), dissociative phenomena (34), perceived cognitive ‘slowness’ and excessive effort (26), communication difficulties (22), a feeling of ‘fuzziness’ or pressure in the head (10), and fatigue (9).570 posts described a perceived cause of brain fog, of which half attributed brain fog to illness or disease (282/570) (the most common single attribution being ‘long COVID’ in 59/570 (10%)), followed by psychiatric conditions in 38/570 (7%). The second most common single attribution of brain fog, in 24/570 (24%), was restriction or excessive masturbation.ConclusionsBrain fog is discussed on the Reddit social media platform in association with a wide range of illnesses, diseases, drugs, and activities. The term is used to describe heterogeneous experiences, which do not map in a straightforward way to the domains enquired about during a ‘cognitive’ clinical examination, but include experiences of dissociation, fatigue, and excessive cognitive effort. Encouraging detailed description of subjective experiences – moving away from a psychometric testing approach and towards a phenomenological approach – might open new routes into understanding cognitive difficulties in health and disease.

Spectrum, risk factors and outcomes of neurological and psychiatric complications of COVID-19: a UK-wide cross-sectional surveillance study.

SARS-CoV-2 is associated with new-onset neurological and psychiatric conditions. Detailed clinical data, including factors associated with recovery, are lacking, hampering prediction modelling and targeted therapeutic interventions. In a UK-wide cross-sectional surveillance study of adult hospitalized patients during the first COVID-19 wave, with multi-professional input from general and sub-specialty neurologists, psychiatrists, stroke physicians, and intensivists, we captured detailed data on demographics, risk factors, pre-COVID-19 Rockwood frailty score, comorbidities, neurological presentation and outcome. A priori clinical case definitions were used, with cross-specialty independent adjudication for discrepant cases. Multivariable logistic regression was performed using demographic and clinical variables, to determine the factors associated with outcome. A total of 267 cases were included. Cerebrovascular events were most frequently reported (131, 49%), followed by other central disorders (95, 36%) including delirium (28, 11%), central inflammatory (25, 9%), psychiatric (25, 9%), and other encephalopathies (17, 7%), including a severe encephalopathy (n = 13) not meeting delirium criteria; and peripheral nerve disorders (41, 15%). Those with the severe encephalopathy, in comparison to delirium, were younger, had higher rates of admission to intensive care and a longer duration of ventilation. Compared to normative data during the equivalent time period prior to the pandemic, cases of stroke in association with COVID-19 were younger and had a greater number of conventional, modifiable cerebrovascular risk factors. Twenty-seven per cent of strokes occurred in patients <60 years. Relative to those >60 years old, the younger stroke patients presented with delayed onset from respiratory symptoms, higher rates of multi-vessel occlusion (31%) and systemic thrombotic events. Clinical outcomes varied between disease groups, with cerebrovascular disease conferring the worst prognosis, but this effect was less marked than the pre-morbid factors of older age and a higher pre-COVID-19 frailty score, and a high admission white cell count, which were independently associated with a poor outcome. In summary, this study describes the spectrum of neurological and psychiatric conditions associated with COVID-19. In addition, we identify a severe COVID-19 encephalopathy atypical for delirium, and a phenotype of COVID-19 associated stroke in younger adults with a tendency for multiple infarcts and systemic thromboses. These clinical data will be useful to inform mechanistic studies and stratification of patients in clinical trials.

#3125 Novel framework for neurocognitive COVID-19 assessment

BackgroundThe neurotrophic effects of Covid-19 are becoming increasingly recognized, with altered mental state now being the second most common presenting complaint insert numbers. A key question is whether this has long term consequences. Cognitive problems are commonly reported in patients 3 months after acute infection as part of the so called Long-Covid syndrome. However, the underlying cause is not well understood. Candidate explanations include legacy from encephalitis and stroke;however, other complications such as the sequelae, delirium, remain underexplored. Furthermore, little consideration has been given to functional cognitive disorders and the cognitive consequences of depression, anxiety and fatigue.AimsWe propose a structured approach to clinical assessment for clinicians reviewing late cognitive complaints after COVID 19.MethodsWe created our own unique framework for neurocognitive Covid assessment based upon a review of the literature.ResultsCovid status- Any positive test. If not review of core symptoms such as breathlessness, headache, anosmia, nasal obstruction, cough, myalgia, or gustatory dysfunction;duration, extent of exposure to Covid confirmed cases. Consider rapid antibody testing.Neuropsychiatric history- Part 1 symptoms at onset- in particular disruptions of consciousness and altered mental state. Acute memory impairment, anterograde/retrograde and with/without a temporal gradient. neurocognitive function. ITU admission and oxygen requirements.Part 2 Current cognitive and mental state- in addition to standard history seek evidence of internal inconsistency of memory symptoms and attentional dysregulation. Has social cognition and meta-cognition been affected. Note attribution bias i.e. no Im not depressed, I cant enjoy anything because of my symptomsBackground history- subtle suggestion of neurodegeneration and depression, anxiety and functional symptoms should be explored.MRI findings- signal changes in the medial temporal lobe, nonconfluent multifocal white matter hyperintense lesions, and isolated white matter microhemorrhages.Novel biomarkers IL-6, MCP-1, and IP-10.ConclusionCognitive symptoms are common after confirmed and assumed COVID exposure. We propose a framework for neuropsychiatric assessment and the use of adjuvant imaging and potential biomarkers.

Prospective observational cohort study of factors influencing trial participation in people with motor neuron disease (FIT-participation-MND): a protocol.

INTRODUCTION: Motor neuron disease (MND) is a rapidly progressive and fatal neurodegenerative disorder with limited treatment options. The Motor Neuron Disease Systematic Multi-Arm Randomised Adaptive Trial (MND-SMART) is a multisite UK trial seeking to address the paucity in effective disease-modifying drugs for people with MND (pwMND). Historically, neurological trials have been plagued by suboptimal recruitment and high rates of attrition. Failure to recruit and/or retain participants can cause insufficiently representative samples, terminated trials or invalid conclusions. This study investigates patient-specific factors affecting recruitment and retention of pwMND to MND-SMART. Improved understanding of these factors may improve trial protocol design, optimise recruitment and retention. METHODS AND ANALYSIS: PwMND on the Scottish MND Register, Clinical Audit Research and Evaluation of MND (CARE-MND), will be invited to participate in a prospective observational cohort study that investigates factors affecting trial participation and attrition. We hypothesise that patient-specific factors will significantly affect trial recruitment and retention. Participants will complete the Hospital Anxiety and Depression Scale, 9-Item Patient Health Questionnaire and State-Trait Anxiety Inventory-Form Y to evaluate neuropsychiatric symptoms, the ALS-Specific Quality of Life Questionnaire-Brief Form and Centre for Disease Control and Prevention-Health-Related Quality of Life for quality of life and a novel study-specific questionnaire on Attitudes towards Clinical Trial Participation (ACT-Q). Clinical data on phenotype, cognition (Edinburgh Cognitive and Behavioural ALS Screen) and physical functioning (Amyotrophic Lateral Sclerosis Functional Rating Scale-Revised) will also be collated. Caregivers will complete the Brief Dimensional Apathy Scale. After 12 months, a data request to MND-SMART will evaluate recruitment and retention. Descriptive statistics will summarise and compare assessments and participants reaching impairment thresholds. Variable groupings: attitudes, quality of life, cognition, behaviour, physical functioning, neuropsychiatric and phenotype. Univariate and multivariable logistic regression will explore association with participation/withdrawal in MND-SMART; presented as ORs and 95% CIs. ETHICS AND DISSEMINATION: Ethical approval was provided by the West of Scotland Research Ethics Committee 3 (20/WS/0067) on 12 May 2020. The results of this study will be published in a peer-reviewed journal, presented at academic conferences and disseminated to participants and the public.

Neurological and neuropsychiatric complications of COVID-19 in 153 patients: a UK-wide surveillance study.

BACKGROUND: Concerns regarding potential neurological complications of COVID-19 are being increasingly reported, primarily in small series. Larger studies have been limited by both geography and specialty. Comprehensive characterisation of clinical syndromes is crucial to allow rational selection and evaluation of potential therapies. The aim of this study was to investigate the breadth of complications of COVID-19 across the UK that affected the brain. METHODS: During the exponential phase of the pandemic, we developed an online network of secure rapid-response case report notification portals across the spectrum of major UK neuroscience bodies, comprising the Association of British Neurologists (ABN), the British Association of Stroke Physicians (BASP), and the Royal College of Psychiatrists (RCPsych), and representing neurology, stroke, psychiatry, and intensive care. Broad clinical syndromes associated with COVID-19 were classified as a cerebrovascular event (defined as an acute ischaemic, haemorrhagic, or thrombotic vascular event involving the brain parenchyma or subarachnoid space), altered mental status (defined as an acute alteration in personality, behaviour, cognition, or consciousness), peripheral neurology (defined as involving nerve roots, peripheral nerves, neuromuscular junction, or muscle), or other (with free text boxes for those not meeting these syndromic presentations). Physicians were encouraged to report cases prospectively and we permitted recent cases to be notified retrospectively when assigned a confirmed date of admission or initial clinical assessment, allowing identification of cases that occurred before notification portals were available. Data collected were compared with the geographical, demographic, and temporal presentation of overall cases of COVID-19 as reported by UK Government public health bodies. FINDINGS: The ABN portal was launched on April 2, 2020, the BASP portal on April 3, 2020, and the RCPsych portal on April 21, 2020. Data lock for this report was on April 26, 2020. During this period, the platforms received notification of 153 unique cases that met the clinical case definitions by clinicians in the UK, with an exponential growth in reported cases that was similar to overall COVID-19 data from UK Government public health bodies. Median patient age was 71 years (range 23-94; IQR 58-79). Complete clinical datasets were available for 125 (82%) of 153 patients. 77 (62%) of 125 patients presented with a cerebrovascular event, of whom 57 (74%) had an ischaemic stroke, nine (12%) an intracerebral haemorrhage, and one (1%) CNS vasculitis. 39 (31%) of 125 patients presented with altered mental status, comprising nine (23%) patients with unspecified encephalopathy and seven (18%) patients with encephalitis. The remaining 23 (59%) patients with altered mental status fulfilled the clinical case definitions for psychiatric diagnoses as classified by the notifying psychiatrist or neuropsychiatrist, and 21 (92%) of these were new diagnoses. Ten (43%) of 23 patients with neuropsychiatric disorders had new-onset psychosis, six (26%) had a neurocognitive (dementia-like) syndrome, and four (17%) had an affective disorder. 18 (49%) of 37 patients with altered mental status were younger than 60 years and 19 (51%) were older than 60 years, whereas 13 (18%) of 74 patients with cerebrovascular events were younger than 60 years versus 61 (82%) patients older than 60 years. INTERPRETATION: To our knowledge, this is the first nationwide, cross-specialty surveillance study of acute neurological and psychiatric complications of COVID-19. Altered mental status was the second most common presentation, comprising encephalopathy or encephalitis and primary psychiatric diagnoses, often occurring in younger patients. This study provides valuable and timely data that are urgently needed by clinicians, researchers, and funders to inform immediate steps in COVID-19 neuroscience research and health policy. FUNDING: None.