Jean-Martin Charcot’s role in the 19th century study of music aphasia

Jean-Martin Charcot (1825–93) was a well-known French neurologist. Although he is widely recognized for his discovery of several neurological disorders and his research into aphasia, Charcot’s ideas about how the brain processes music are less well known. Charcot discussed the music abilities of several patients in the context of his ‘Friday Lessons’ on aphasia, which took place at the Salpêtrière Hospital in Paris in 1883–84. In his most comprehensive discussion about music, Charcot described a professional trombone player who developed difficulty copying music notation and playing his instrument, thereby identifying a new isolated syndrome of music agraphia without aphasia. Because the description of this case was published only in Italian by one of his students, Domenico Miliotti, there has been considerable confusion and under-acknowledgement of Charcot’s ideas about music and the brain. In this paper, we describe Charcot’s ideas regarding music and place them within the historical context of the growing interest in the neurological underpinnings of music abilities that took place in the 1880s

Parkinsonism secondary to metastatic lesions within the central nervous system: a case report

<p>Abstract</p> <p>Introduction</p> <p>Colorectal cancer is one of the most common human diseases worldwide, and metastases are detected in approximately 20% of patients at diagnosis. Brain metastases occur in only 4% of cases, however, and usually present with hemiparesis or other motor or sensory symptoms. There have been only a few reports of parkinsonism secondary to a brain tumor-related mass effect.</p> <p>Case presentation</p> <p>We present an unusual case of parkinsonism secondary to multiple brain metastases. A 57-year-old Caucasian man had recently been diagnosed with primary carcinoma of the colon and had multiple metastases in the lungs and liver. He subsequently developed bilateral symmetrical parkinsonism, and multiple brain tumors were detected by computed tomography scanning. The condition of our patient deteriorated rapidly, and he became akinetic and dependent for all activities of daily living. He was followed up and treated at home by our palliative care unit team and died two weeks after the onset of his neurologic symptoms.</p> <p>Conclusion</p> <p>Although primary and secondary brain tumors are uncommon causes of parkinsonism, their clinical presentation may resemble that of idiopathic Parkinson's disease. An awareness of this rare differential diagnosis is therefore important in ensuring early diagnosis and treatment, thus improving prognosis and quality of life. A rapid progression in neurologic symptoms was observed in our patient, and clinicians should be alert to this atypical presentation of secondary parkinsonism.</p

The bii4africa dataset of faunal and floral population intactness estimates across Africa’s major land uses

Sub-Saharan Africa is under-represented in global biodiversity datasets, particularly regarding the impact of land use on species’ population abundances. Drawing on recent advances in expert elicitation to ensure data consistency, 200 experts were convened using a modified-Delphi process to estimate ‘intactness scores’: the remaining proportion of an ‘intact’ reference population of a species group in a particular land use, on a scale from 0 (no remaining individuals) to 1 (same abundance as the reference) and, in rare cases, to 2 (populations that thrive in human-modified landscapes). The resulting bii4africa dataset contains intactness scores representing terrestrial vertebrates (tetrapods: ±5,400 amphibians, reptiles, birds, mammals) and vascular plants (±45,000 forbs, graminoids, trees, shrubs) in sub-Saharan Africa across the region’s major land uses (urban, cropland, rangeland, plantation, protected, etc.) and intensities (e.g., large-scale vs smallholder cropland). This dataset was co-produced as part of the Biodiversity Intactness Index for Africa Project. Additional uses include assessing ecosystem condition; rectifying geographic/ taxonomic biases in global biodiversity indicators and maps; and informing the Red List of Ecosystems