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1.
J Clin Neurophysiol ; 39(6): 504-509, 2022 09 01.
Article in English | MEDLINE | ID: mdl-33417382

ABSTRACT

PURPOSE: Woodhouse-Sakati syndrome is a rare autosomal recessive syndrome caused by homozygous mutations in the DCAF17 gene, characterized by marked neurologic and endocrine manifestations in the setting of brain iron accumulation and white matter lesions on neuroimaging. Here, we report electrophysiologic profiles in Woodhouse-Sakati syndrome and their possible value in understanding disease pathophysiology and phenotypic variability. METHODS: Thirteen genetically confirmed Woodhouse-Sakati syndrome patients were evaluated via different evoked potential (EP) modalities, including brainstem auditory EPs, pattern reversal visual EPs, and somatosensory EPs to tibial and/or median nerves. RESULTS: All EP modalities showed variable abnormalities. Pattern reversal visual EPs were recorded in all patients, with nine patients exhibiting abnormal results. From those, seven patients showed prolonged P100 latencies after stimulation of right and left eyes for each in turn. Two patients showed P100 latency abnormality after single eye stimulation recorded from midoccipital electrode. Median somatosensory EPs were recorded in 10 patients, with 6 patients having a prolonged cortical N19 response. Tibial somatosensory EP was performed for 11 patients, and 8 patients showed abnormal results where P37 cortical response was absent or prolonged, whereas peripheral potentials at the popliteal fossa were normal. Brainstem auditory EPs were abnormal only in two patients, with prolonged wave III and V latencies. Five patients with hearing impairment presented with normal brainstem auditory EP results. CONCLUSIONS: Multiple EP abnormalities are observed in Woodhouse-Sakati syndrome patients, mainly in pattern reversal visual EPs and somatosensory EPs. These findings indicate potential myelin dysfunction that has a role in the underlying pathophysiology, disease course, and phenotypic variability.


Subject(s)
Basal Ganglia Diseases , Hypogonadism , Intellectual Disability , Alopecia , Arrhythmias, Cardiac , Basal Ganglia Diseases/genetics , Basal Ganglia Diseases/pathology , Diabetes Mellitus , Evoked Potentials/physiology , Evoked Potentials, Auditory , Evoked Potentials, Somatosensory/physiology , Evoked Potentials, Visual , Humans , Hypogonadism/genetics , Hypogonadism/pathology , Intellectual Disability/genetics , Intellectual Disability/pathology , Nuclear Proteins/genetics , Ubiquitin-Protein Ligase Complexes/genetics
2.
Clin Neurophysiol ; 128(11): 2300-2308, 2017 11.
Article in English | MEDLINE | ID: mdl-29035822

ABSTRACT

OBJECTIVE: To determine optimal interstimulus interval (ISI) and pulse duration (D) for direct cortical stimulation (DCS) motor evoked potentials (MEPs) based on rheobase and chronaxie derived with two techniques. METHODS: In 20 patients under propofol/remifentanil anesthesia, 5-pulse DCS thenar MEP rheobase and chronaxie with 2, 3, 4 and 5ms ISI were measured by linear regression of five charge thresholds at 0.05, 0.1, 0.2, 0.5 and 1msD, and estimated from two charge thresholds at 0.1 and 1msD using simple arithmetic. Optimal parameters were defined by minimum threshold energy: the ISI with lowest rheobase2×chronaxie, and D at its chronaxie. Near-optimal was defined as threshold energy <25% above minimum. RESULTS: The optimal ISI was 3 or 4 (n=7 each), 2 (n=4), or 5ms (n=2), but only 4ms was always either optimal or near-optimal. The optimal D was ∼0.2 (n=12), ∼0.1 (n=7) or ∼0.3ms (n=1). Two-point estimates closely approximated five-point measurements. CONCLUSIONS: Optimal ISI/D varies, with 4ms/0.2ms being most consistently optimal or near-optimal. Two-point estimation is sufficiently accurate. SIGNIFICANCE: The results endorse 4ms ISI and 0.2msD for general use. Two-point estimation could enable quick individual optimization.


Subject(s)
Chronaxy/physiology , Electric Stimulation/methods , Evoked Potentials, Motor/physiology , Monitoring, Intraoperative/methods , Adolescent , Adult , Child , Female , Humans , Male , Middle Aged , Time Factors , Young Adult
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