bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of Rates of Union and Hardware Removal Between Large and Small Cannulated Screws for Calcaneal Osteotomy
Authors: Sayres Stephanie C. , Gu Yang , Kiernan Samuel , DeSandis Bridget Ann , Elliott Andrew J. , O’Malley Martin J. 
Published: September 2014

Background: The calcaneal osteotomy is a common procedure to correct hindfoot malalignment. Reported union rates are high, utilizing fixation methods including staples, plates, and most commonly cannulated screws. We began our practice using 6.5 mm and 7.3 mm cannulated screws, but complaints of postoperative posterior heel pain led to hardware removal in many patients. A switch to smaller 4.5 mm cannulated screws resulted in fewer symptoms, thus we hypothesized that using a smaller screw would decrease screw removal while maintaining an equally high union rate. Methods: The records of patients who underwent a calcaneal osteotomy by 2 surgeons between January 1996 and April 2012 were retrospectively reviewed. The rates of hardware removal and union were compared between osteotomies held with two 7.3 mm, 6.5 mm, and 4.5 mm cannulated screws. Results: There were 272 feet that met the inclusion criteria. The hardware removal rate for 130 osteotomies held with two 7.3 mm screws was 29.2% and the removal rate for 115 osteotomies held with 4.5 mm screws was 13.0%, which was significantly different ( P < .05). The removal rate for 27 osteotomies with 6.5 mm screws was 33.3%. The union rate for all groups was 100%. Conclusion: Fixation of calcaneal osteotomies with two 4.5 mm screws is advantageous over larger screws with respect to future hardware removal. There was no loss of position from the smaller screws and we feel that the 4.5mm cannulated screw provides sufficient compression and achieves a high rate of union equal to that of the larger screws. Level of Evidence: Level IV, retrospective case series.
Essential Startle Disease May Not be a Uniform Entity
Authors: Cengiz Bulent , Odabasi Zeki , Ozdag Fatih , Eroglu Erdal , Gokcil Zeki , Vural Okay 
Published: September 2014

A 25-year-old man with essential startle disease has been reported. He had a history of sudden jerks and falls in response to unexpected stimuli. Abnormal falling developed when he learned to walk. No similar cases are known in his family. Physical examination revealed hyperreflexia. Pathologic startle reflex was elicited by light touching on the patient's nose, clapping or making other noises. EEG response to startle stimuli consisted of spikes recorded from both centroparietooccipital regions immediately preceding diffuse muscle and movement artifacts. The motor responses to auditory stimuli, which are startle reflex on the orbicularis oculi, sternocleidomastoid, biceps and quadriceps femoris muscles, habituated within 2–4 trials. Electrical stimulation of the median nerve at the wrist elicited a consistent C reflex (cortical long loop reflex) but not any giant cortical somatosensory evoked potentials. Our patient showed early disease onset and habituation of motor response, which are not seen in other essential hyperekplexia cases, and clinically differs from the patients with hereditary hyperekplexia in which neonatal rigidity, epilepsy, apneic attacks, low intelligence, congenital dislocated hips and inguinal hernia can be seen in differing frequency.
Sources of Abnormal EEG Activity in Spontaneous Intracerebral Hemorrhage
Authors: Fernández-Bouzas Antonio , Harmony Thalía , Fernández Thalía , Aubert Eduardo , Ricardo-Garcell Josefina , Valdés Pedro , Bosch Jorge , Casián Gustavo , Sánchez-Conde Raul 
Published: September 2014

This report describes the results obtained with EEG source analysis in the frequency domain (FD-VARETA), in 14 patients with brain hemorrhages; 6 hemorrhages were located in the putaminal region, 1 was mesencephalic and 7 were lobar cerebral hemorrhages. Our goal was to evaluate FD-VARETA accuracy for the localization of fast growth expansive brain lesions. FD-VARETA produces brain electromagnetic tomography images of EEG sources in every frequency. The location of the most abnormal or the maximum Z value across all frequencies was compared with the location of spontaneous hemorrhages in computed tomographies (CT). In all patients the main source was within delta or theta bands. The spatial extent of the sources, in the brain atlas, at these frequency values was almost the same as the volume of hematoma in CT. Putaminal lesions produced larger regions of cortical deafferentation than lobar hematomas, with higher abnormal Z values. FD-VARETA was more accurate in locating the lesions than traditional maps of absolute and relative power in delta, theta, alpha and beta bands. Conclusion: FD-VARETA is a valuable procedure for the functional evaluation of brain hemorrhages.
Electroencephalographic Changes during Intravenous Olfactory Stimulation in Humans
Authors: Harada Hirofumi , Rikimaru Fumihide , Mori Takashi , Tanaka Masahiro , Shiraishi Kimio , Kato Toshihiko 
Published: September 2014

The intravenous olfaction test with thiamin propyl disulfide (TPD) is a simple procedure widely used in Japan. An olfactory stimulus is provided by intravenous injection of TPD (2 ml) over the course of 20 sec. The subject smells n-propyl mercaptan (a decomposition product of TPD discharged from the blood into alveoli) in expired air after treatment. In this preliminary study we recorded electroencephalograms (EEGs) in normal subjects during three stages: 1) eyes-closed rest (prestimulus), 2) olfactory sensation after TPD injection, and 3) disappearance of sensation. In each of these stages, we calculated and compared EEG powers according to the band components of each electrode position. This study was designed a) to evaluate by frequency analysis EEG changes during olfactory sensation after TPD injection, and b) to identify the most significant changes in EEG power according to frequency band and electrode location. During the intravenous olfactory stimulation, alpha 2 and beta 2 waves were activated over the frontal and temporal regions. After disappearance of olfactory sensation, these waves decreased in the same regions. EEG powers returned to prestimulus levels.
Focal Seizures and EEG: Prognostic Considerations
Authors: Hughes John R. , Fino John J. 
Published: September 2014

The goal of this study was to determine whether the EEG could predict if patients with focal seizures would eventually be uncontrolled (U), more than two seizures per month, or be controlled (C), fewer than two seizures per year. Using these latter criteria, U and C patients were randomly selected from our files, 150 in each of these two groups; 804 EEGs were found in the U and 674 in the C group. Excluded were patients with generalized epilepsy and also the benign epilepsies of childhood. Age was an important factor since patients 5–18 yrs old were more often under good control (C group), and those 21–48 yrs of age were more often under poor control (U group). With rare exceptions, focal spikes and focal slow waves in every area were much more often seen in U patients than C patients. No spikes or rare spikes appeared especially in the controlled patients, and many or very many spikes in the uncontrolled patients, mainly on the first or second EEG. No slow waves or a mild degree of slowing was seen especially in the C patients, while greater degrees of slow wave abnormalities were noted much more often in the U patients. For conditions to identify the C group, the best predictors were no spikes or rare spikes, especially on the first or second EEG, properly identifying two-thirds of the C patients and misidentifying only one-fourth of the U group. To identify the U patients on any EEG, many or very many spikes at any location or frontal spikes correctly designated a U patient in 84%, but incorrectly predicted a C patient as uncontrolled in 29%. For the first or second EEG, these values were 61% and 21%. Thus, the EEG, especially by its first or second record, can predict well the probable future of the uncontrolled patient, so that extraordinary means may be instituted early to avoid a deteriorating condition. When complete EEGs are done with sleep records and the results are quantified, reasonable prediction of eventual outcome can usually occur that is much more timely than waiting over 9 yrs, using only clinical data.
Convergences in Course of Illness and Treatments of the Epilepsies and Recurrent Affective Disorders
Authors: Post Robert M. , Weiss Susan R.B. 
Published: September 2014

The failure to achieve and maintain remission is a critical problem for a high percentage of patients with epilepsy and the primary affective disorders. Early illness onset and delayed initiation of treatment may contribute to primary treatment resistance or that associated with loss of efficacy (tolerance phenomenon). Neurobiological data and principles drawn from the amygdala kindling model of seizure progression are reviewed for their heuristic value in conceptualizing molecular mechanisms of illness progression and its prevention with pharmacological agents in the epilepsies and, indirectly, the recurrent affective disorders. Caveats in the use of this model and convergences and divergences in its predictive validity for seizures and affective disorders are noted.
The EEG Profile of Patients with Uncontrolled vs. Controlled Seizures
Authors: Hughes John R. , John J. Fino , Kaydanova Yevgenya 
Published: September 2014

The goal of this study was to provide an EEG profile of patients (150) with uncontrolled (U) seizures, in contrast with those (150) with controlled (C) attacks. In the U group 804 EEGs were done and in the C group 674 were performed, all with both waking and sleep recordings; the range of EEG records on a given patient was 2–23. The number of spikes and the amount of abnormal slowing was quantified in each record. Two different peaks of age were evident, appearing at 10–19 yrs and 40–49 yrs. The number of patients with a spike discharge on the first EEG was 64% in the C and 92% in the U group with an increasing incidence to 83% (C) and 100% (U) in later records. If spikes were absent in the first EEG in the C group, the majority showed only rare discharges later. The spike profile of the U patient initially was that 1/2 showed a typical number of spikes and nearly 1/2 many or very many spikes. Over time a decrease was seen in those with many-very many discharges, resulting in an increase with a typical number. Still later, a reversal occurred in the U patients with an increasing number with many or very many spikes. The slow wave profile of the U patient was that 2/3 showed some abnormal slow waves on the first record, increasing to 100% in later records. The increase was from delta, not theta activity. The spike profile of the C patient was that a typical number of spikes was seen at first in nearly 1/2, but only a small minority showed many-very many discharges. The slow wave profile for the C patient was that theta, not delta waves, increased in time. The (median) time between a unilateral spike discharge to a bilateral discharge was 4–5 yrs, and the U group much more often than the C group showed this change to bilateral spikes. The time between unilateral to bilateral slow waves varied between 4–9 yrs.
“Mu Rhythm Status” and Clinical Correlates
Authors: Niedermeyer E. , Goldszmidt Adrian , Ryan Dawn 
Published: September 2014

Rolandic mu rhythm is usually limited to brief stretches of 0.5 to 2 sec duration. Two observations of status-like enhancement of mu rhythm have prompted this report. In both cases, 4-hour EEG-Video-Monitoring was used. Clinically, the reported cases differed considerably. Case 1 showed nearly continuous mu activity associated with general motionlessness: akinesia/amimia but without rigidity, caused by frontal lobe impairment due to multiple sclerosis. In Case 2, an impressive mu-status started in drowsiness and was presumably attributable to levitiracetam (which had rendered seizure-free the patient's formerly severe case of temporal lobe epilepsy). Mu rhythm status, thus far, is an unknown EEG entity. It can be caused by impaired fronto-motor input and may also constitute a medication-effect (levitiracetam).
Structural Lesions in Periodic Lateralized Epileptiform Discharges (PLEDs)
Authors: Gurer Gunfer , Yemisci Muge , Saygi Serap , Ciger Abdurrahman 
Published: September 2014

In this study we investigated the structural lesions of patients with periodic lateralized epileptiform discharges (PLEDs) to determine the possible relationship of lesions to PLEDs' localization on EEG and to metabolic abnormality. Clinical findings and electroencephalography (EEG), computerized tomography (CT) and magnetic resonance imaging (MRI) of the 71 adult patients with PLEDs were evaluated. Stroke, herpes encephalitis and intracranial tumor or abscess were the most common etiological factors. Cortical gray matter and adjacent subcortical white matter lesions were detected in 64.7%, cortical gray matter lesions in 11.3% and subcortical white matter lesions in 4.2% of the patients. Although it is thought that PLEDs occur mostly with acute lesions, chronic lesions causing PLEDs were found in 35.2% of the patients. Bilateral lesions were detected in 19.7% and 33.8% of the patients had metabolic abnormality. PLEDs localized the region of the lesion in 63.4% of the patients. PLEDs are usually self-limited features, but chronic PLEDs were detected in 5 patients in this study. Acute structural lesions involving cortical gray matter with adjacent subcortical white matter were found in most of the patients with PLEDs, but the lesion localization and age, acute or chronic, varied.
The Electrocerebellogram
Authors: Niedermeyer E. 
Published: September 2014

A revisitation of EEG studies derived experimentally from the cerebellum confirms the predominance of ultrafast activities but also shows various degrees of underlying slower frequencies (from the beta down to the delta range). Earlier personal work was based upon recording from the human cerebellum (and especially from fastigial and dentate nucleus) in connection with therapeutic cerebellar electrical stimulation. These patients suffered from intractable seizures (advanced cases of Lennox-Gastaut syndrome). Naturally, our recording technique in 1974 excluded the ultrafast range above 80/sec but failed to show activities in the upper beta range. In these cases, the severity of the seizure disorder caused structural impairment and ictal activity invaded the cerebellum. The electrocerebellogram is still insufficiently understood. An attempt at an analysis of known facts is being made. Further research in this field is needed.
EEG Detection of Early Alzheimer's Disease Using Psychophysical Tasks
Authors: Sneddon Robert , Shankle William Rodman , Hara Junko , Rodriquez Anthony , Hoffman Donald , Saha Utpal 
Published: September 2014

In this study, we hypothesized that a quantitative EEG (qEEG) method for measuring EEG variability combined with specific psychophysical tasks could improve the classification accuracy of subjects with normal aging vs. mild cognitive impairment (MCI) or mild dementia due to Alzheimer's Disease and Related Disorders (ADRD). The cross-sectional sample consisted of 48 subjects (32 normal aging and 16 ADRD: n=3 mild dementia, n=13 MCI FAST stage 3). During EEG recording, subjects performed two visual, delayed recognition memory tasks as well as a task that tested their ability to perceive structure-from-motion (SFM). These EEG data were used to compute qEEG measures of the (normalized) variance of posterior cortical activity during the first 150 milliseconds (ms) after stimulus onset and the variance of anterior cortical activity during the second 150 ms epoch. The ratio, anterior/posterior cerebral qEEG value, was then computed for each subject, and the optimal cutoff value identified to discriminate normal from impaired subjects. An optimal qEEG cutoff value for the delayed recognition memory tasks correctly discriminated 30 of the 32 normal aging subjects (94% specificity) and 14 of 16 MCI-to-mild ADRD subjects (88% sensitivity). On the other hand, the application of this qEEG measure to EEG data recorded while subjects performed a SFM task did not distinguish between ADRD and normal aging any better than chance. In conclusion, this qEEG measure is specific to the psychophysical task being performed by the subject. When it was combined with delayed recognition memory tasks, it yielded results that are comparable to the accuracies reported by PET scan studies of normal aging vs. AD with mild cognitive impairment. These results warrant further evaluation.
Acute Stimulus-Sensitive Postanoxic Myoclonus: Description of a Case
Authors: Fernandez-Torre J. L. , González-Rato J. , Martínez-Martínez M. 
Published: September 2014

We describe the clinical and electroencephalographic features of a comatose patient with severe anoxic encephalopathy who experienced acute reflex myoclonus precipitated by passive eye opening/closure and painful stimulation. Acute stimulus-sensitive postanoxic myoclonus is an underdiagnosed epileptic condition. Shortly after the anoxic insult, the diagnosis should be based on EEG evaluation and various types of stimulation. These should include passive eye opening/closure and painful stimuli.
“All that Spikes is Not Fits,” Mistaking the Woods for the Trees: The Interictal Spikes—An “EEG Chameleon” in the Interface Disorders of Brain and Mind: A Critical Review
Authors: Shelley Bhaskara P. , Trimble Michael R. 
Published: September 2014

Recent research into mammalian cortical neurophysiology, after 6 decades of Berger's seminal work on electroencephalography, has shifted the older concept of interictal epileptiform activity (IEA) away from that of a mere electrographic graphoelement of relevance to diagnostic implications in epilepsy. Instead, accumulating information has stressed the neuropsychological implications, cognitive and/or behavioral consequence of these electrophysiological events, which are the phenotypic expression of aberrations of actual biophysical cellular function. We feel that this review is germane to neuropsychiatry, however, a rather neglected area of research. There is a great scope for brain-behavior-EEG research in the future that can be complimented by other techniques of “neurobehavioral electrophysiology.” This review does not address the “pearls, perils and pitfalls” in the use of EEG in epilepsy, but critically and systematically reappraises the published electroencephalographic correlates of human behavior. We reiterate that epileptiform and other paroxysmal EEG dysrhythmias unrelated to clinical seizures do have neuropsychological, cognitive and/or behavioral implications as seen in the various neuropsychiatric and neurobehavioral disorders discussed in this article. IEA and EEG dysrhythmias should neither be ignored as irrelevant nor automatically attributed to epilepsy. The relevance of these EEG aberrations in the disorders of the brain-mind interface extend beyond epilepsy, and may be an electrophysiological endophenotype of aberrant neuronal behavior indicative of underlying morpho-functional brain abnormalities. Magnetoencephalography (MEG), data fusion models (EEG-fMRI-BOLD), transcranial magnetic stimulation (TMS), evoked potentials (EP); intracranial electrophysiology, and EEG neurofeedback complemented by current functional neuroimaging techniques (fMRI and PET) would certainly help in further understanding the broader relationship between brain and behavior.
Automatic EEG Spike Detection
Authors: Harner Richard 
Published: September 2014

Since the 1970s advances in science and technology during each succeeding decade have renewed the expectation of efficient, reliable automatic epileptiform spike detection (AESD). But even when reinforced with better, faster tools, clinically reliable unsupervised spike detection remains beyond our reach. Expert-selected spike parameters were the first and still most widely used for AESD. Thresholds for amplitude, duration, sharpness, rise-time, fall-time, after-coming slow waves, background frequency, and more have been used. It is still unclear which of these wave parameters are essential, beyond peak-peak amplitude and duration. Wavelet parameters are very appropriate to AESD but need to be combined with other parameters to achieve desired levels of spike detection efficiency. Artificial Neural Network (ANN) and expert-system methods may have reached peak efficiency. Support Vector Machine (SVM) technology focuses on outliers rather than centroids of spike and nonspike data clusters and should improve AESD efficiency. An exemplary spike/non-spike database is suggested as a tool for assessing parameters and methods for AESD and is available in CSV or Matlab formats from the author at brainvue@gmail.com . Exploratory Data Analysis (EDA) is presented as a graphic method for finding better spike parameters and for the step-wise evaluation of the spike detection process.
Magnetoencephalography and Magnetic Source Imaging in Epilepsy
Authors: Funke M. , Constantino T. , Van Orman C. , Rodin E. 
Published: September 2014

Magnetoencephalograpy (MEG) and Electroencephalography (EEG) provide physicians with complementary data and should not be regarded as mutually exclusive evaluative methods of cerebral activity. Relevant to this edition, MEG applications related to the surgical treatment of epilepsy will be discussed exclusively. Combined MEG/EEG data collection and analysis should be a routine diagnostic practice for patients who are still suffering seizures due to the failure of drug therapy. Clinicians in the field of epilepsy agree that a greater number of patients would benefit from surgery than are currently referred for pre-surgical evaluation. Regardless of age or presumed epilepsy syndrome, all patients deserve the possibility of living seizure-free through surgery. Technological advances in superconducting elements as well as the digital revolution were necessary for the development of MEG into a clinically valuable diagnostic tool. Compared to the examination of electrical activity of the brain, investigation into its magnetic concomitant is a more recent development. In MEG, cerebral magnetic activity is recorded using magnetometer or gradiometer whole-head systems. MEG spikes usually have a shorter duration and a steeper ascending slope than EEG spikes, and variable phase relationships to EEG. When co-registered spikes are compared, it is apparent that EEG and MEG spikes differ. There is agreement among investigators that more interictal epileptiform spikes are seen in MEG than EEG. When MEG is co-registered with invasive intracranial EEG data, the detection rate of interictal epileptiform discharges depends on the number of electrocorticographic channels that record a spike. When patients have a non-localizing video-EEG recording, MEG pinpoints the resected area in 58–72% of the cases.