Machine learning classification of functional neurological disorder using structural brain MRI features.

BACKGROUND: Brain imaging studies investigating grey matter in functional neurological disorder (FND) have used univariate approaches to report group-level differences compared with healthy controls (HCs). However, these findings have limited translatability because they do not differentiate patients from controls at the individual-level. METHODS: 183 participants were prospectively recruited across three groups: 61 patients with mixed FND (FND-mixed), 61 age-matched and sex-matched HCs and 61 age, sex, depression and anxiety-matched psychiatric controls (PCs). Radial basis function support vector machine classifiers with cross-validation were used to distinguish individuals with FND from HCs and PCs using 134 FreeSurfer-derived grey matter MRI features. RESULTS: Patients with FND-mixed were differentiated from HCs with an accuracy of 0.66 (p=0.005; area under the receiving operating characteristic (AUROC)=0.74); this sample was also distinguished from PCs with an accuracy of 0.60 (p=0.038; AUROC=0.56). When focusing on the functional motor disorder subtype (FND-motor, n=46), a classifier robustly differentiated these patients from HCs (accuracy=0.72; p=0.002; AUROC=0.80). FND-motor could not be distinguished from PCs, and the functional seizures subtype (n=23) could not be classified against either control group. Important regions contributing to statistically significant multivariate classifications included the cingulate gyrus, hippocampal subfields and amygdalar nuclei. Correctly versus incorrectly classified participants did not differ across a range of tested psychometric variables. CONCLUSIONS: These findings underscore the interconnection of brain structure and function in the pathophysiology of FND and demonstrate the feasibility of using structural MRI to classify the disorder. Out-of-sample replication and larger-scale classifier efforts incorporating psychiatric and neurological controls are needed.

Management of functional communication, swallowing, cough and related disorders: consensus recommendations for speech and language therapy.

Communication problems (eg, dysphonia, dysfluency and language and articulation disorders), swallowing disorders (dysphagia and globus), cough and upper airway symptoms, resulting from functional neurological disorder (FND), are commonly encountered by speech and language professionals. However, there are few descriptions in the literature of the most effective practical management approaches. This consensus document aims to provide recommendations for assessment and intervention that are relevant to both adults and young people. An international panel of speech and language professionals with expertise in FND were approached to take part. Participants responded individually by email to a set of key questions regarding best practice for assessment and interventions. Next, a video conference was held in which participants discussed and debated the answers to these key questions, aiming to achieve consensus on each issue. Drafts of the collated consensus recommendations were circulated until consensus was achieved. FND should be diagnosed on the basis of positive clinical features. Speech and language therapy for FND should address illness beliefs, self-directed attention and abnormal movement patterns through a process of education, symptomatic treatment and cognitive behavioural therapy within a supportive therapeutic environment. We provide specific examples of these strategies for different symptoms. Speech and language professionals have a key role in the management of people with communication and related symptoms of FND. It is intended that these expert recommendations serve as both a practical toolkit and a starting point for further research into evidence-based treatments.

Functional Speech and Voice Disorders: Approaches to Diagnosis and Treatment.

Historically, formal training for speech-language therapists (SLTs) in the area of functional speech and voice disorders (FSVD) has been limited, as has the body of empirical research in this content area. Recent efforts in the field have codified expert opinions on best practices for diagnosing and treating FSVD and have begun to demonstrate positive treatment outcomes. To provide comprehensive interventions for these complex conditions at the intersection of neurology, psychiatry, and other medical specialties, the SLT must not only build knowledge of diagnostic strategies and components of symptomatic treatment in FSVD but also embrace behavior change techniques and counseling strategies.

Speech and language therapy: A treatment case series of 20 patients with functional speech disorder.

BACKGROUND: While expert consensus recommendations support the use of speech and language therapy (SLT) for patients with functional speech disorder (FND-speech), there are limited published data on clinical outcomes. OBJECTIVE: To retrospectively report the treatment outcomes and clinical characteristics of patients with FND-speech that attended outpatient SLT as part of a multidisciplinary program for functional neurological disorder (FND). METHODS: In this case series, we included adult patients with FND-speech that consecutively participated in outpatient SLT at our institution between October 2014 and September 2021. Baseline demographic and neuropsychiatric characteristics were extracted from the medical records, along with data on FND-speech phenotypes, number of treatment sessions received, and clinician-determined outcomes. Only descriptive statistics were used to report findings. RESULTS: Twenty patients met inclusion criteria; ages ranged from 21-77, with a mean of 51.6±16.2 years. 85% of the cohort presented with mixed FND-speech symptoms. Patients attended a range of 2-37 visits, with an average of 9.2±8.0 visits over 4.4±3.5 months. At the last treatment session, 3 patients were asymptomatic, 15 had improved, and 2 had not improved; 8 individuals that improved received video telehealth interventions. CONCLUSION: This case series lends additional support for outpatient SLT in the assessment and management of individuals with FND-speech, and may help clarify patient and provider treatment expectations. Additional prospective research is needed to investigate baseline predictors of treatment response and further define the optimal frequency, intensity, duration, and clinical setting for SLT delivery in this population.

Cognitive Demands Influence Upper Extremity Motor Performance During Recovery From Acute Stroke.

OBJECTIVE: To test the hypothesis that cognitive demands influence motor performance during recovery from acute stroke, we tested patients with acute stroke on 2 motor tasks with different cognitive demands and related task performance to cognitive impairment and neuroanatomic injury. METHODS: We assessed the contralesional and ipsilesional upper extremities of a cohort of 50 patients with weakness after unilateral acute ischemic stroke at 3 time points with 2 tasks: the Box & Blocks Test, a task with greater cognitive demand, and Grip Strength, a simple and ballistic motor task. We compared performance on the 2 tasks, related motor performance to cognitive dysfunction, and used voxel-based lesion symptom mapping to determine neuroanatomic sites associated with motor performance. RESULTS: Consistent across contralesional and ipsilesional upper extremities and most pronounced immediately after stroke, Box & Blocks scores were significantly more impaired than Grip Strength scores. The presence of cognitive dysfunction significantly explained up to 33% of variance in Box & Blocks performance but was not associated with Grip Strength performance. While Grip Strength performance was associated with injury largely restricted to sensorimotor regions, Box & Blocks performance was associated with broad injury outside sensorimotor structures, particularly the dorsal anterior insula, a region known to be important for complex cognitive function. CONCLUSIONS: Together, these results suggest that cognitive demands influence upper extremity motor performance during recovery from acute stroke. Our findings emphasize the integrated nature of motor and cognitive systems and suggest that it is critical to consider cognitive demands during motor testing and neurorehabilitation after stroke.