BrainPub Date : 2024-10-21DOI: 10.1093/brain/awae334
Emma-Jane Mallas, Sara De Simoni, Peter O Jenkins, Michael C B David, Niall J Bourke, David J Sharp
{"title":"Methylphenidate differentially alters corticostriatal connectivity after traumatic brain injury.","authors":"Emma-Jane Mallas, Sara De Simoni, Peter O Jenkins, Michael C B David, Niall J Bourke, David J Sharp","doi":"10.1093/brain/awae334","DOIUrl":"https://doi.org/10.1093/brain/awae334","url":null,"abstract":"<p><p>Traumatic brain injury commonly impairs attention and executive function, and disrupts the large-scale brain networks that support these cognitive functions. Abnormalities of functional connectivity are seen in corticostriatal networks, which are associated with executive dysfunction and damage to neuromodulatory catecholaminergic systems caused by head injury. Methylphenidate, a stimulant medication that increases extracellular dopamine and noradrenaline, can improve cognitive function following TBI. In this experimental medicine add-on study to a randomised, double-blind, placebo-controlled clinical trial, we test whether administration of methylphenidate alters corticostriatal network function and influences drug response. 43 moderate-severe traumatic brain injury patients received 0.3 mg/kg of methylphenidate or placebo twice a day in 2-week blocks. 28 patients were included in the neuropsychological and functional imaging analysis (4 females, mean age 40.9±12.7, range 20-65) and underwent functional MRI and neuropsychological assessment after each block. 123I-Ioflupane SPECT Dopamine Transporter (DAT) scans were performed, and specific binding ratios were extracted from caudate subdivisions. Functional connectivity and the relationship to cognition was compared between drug and placebo conditions. Methylphenidate increased caudate to anterior cingulate cortex functional connectivity compared to placebo and decreased connectivity from the caudate to default mode network. Connectivity within the default mode network was also decreased by methylphenidate administration and there was a significant relationship between caudate functional connectivity and DAT binding during methylphenidate administration. Methylphenidate significantly improved executive function in TBI patients, and this was associated with alterations in the relationship between executive function and right anterior caudate functional connectivity. Functional connectivity is strengthened to brain regions including the anterior cingulate that are activated when attention is focused externally. These results show that methylphenidate alters caudate interactions with cortical brain networks involved in executive control. In contrast, caudate functional connectivity reduces to default mode network regions involved in internally focused attention and that deactivate during tasks that require externally focused attention. These results suggest that the beneficial cognitive effects of methylphenidate may be mediated through its impact on the caudate. Methylphenidate differentially influences how the caudate interacts with large-scale functional brain networks that exhibit co-ordinated but distinct patterns of activity required for attentionally demanding tasks.</p>","PeriodicalId":9063,"journal":{"name":"Brain","volume":null,"pages":null},"PeriodicalIF":10.6,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142457704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BrainPub Date : 2024-10-21DOI: 10.1093/brain/awae329
Adam Al-Diwani, Nicholas M Provine, Andrew Murchison, Rhiannon Laban, Owen J Swann, Ivan Koychev, Fintan Sheerin, Sandro Da Mesquita, Amanda Heslegrave, Henrik Zetterberg, Paul Klenerman, Sarosh R Irani
{"title":"Neurodegenerative fluid biomarkers are enriched in human cervical lymph nodes.","authors":"Adam Al-Diwani, Nicholas M Provine, Andrew Murchison, Rhiannon Laban, Owen J Swann, Ivan Koychev, Fintan Sheerin, Sandro Da Mesquita, Amanda Heslegrave, Henrik Zetterberg, Paul Klenerman, Sarosh R Irani","doi":"10.1093/brain/awae329","DOIUrl":"https://doi.org/10.1093/brain/awae329","url":null,"abstract":"<p><p>In animal models, brain neurodegeneration biomarkers drain into cervical lymph nodes (CLNs), and this drainage function is reduced with ageing. If this occurred in humans, CLNs may provide a readily accessible measure of this aspect of protein clearance. We tested this hypothesis in people using ultrasound-guided fine needle aspiration (FNA). We measured amyloid-beta 40 and 42, phospho-Tau-181, glial-fibrillary-acidic-protein, and neurofilament-light using single molecule array in CLN aspirates and plasma from: i) a discovery cohort of 25 autoimmune patients, and from ii) plasma, CLNs and capillary blood in four healthy volunteers, an optimisation cohort. FNA was well-tolerated by all participants. In both cohorts, all biomarkers were detected in all plasma and CLN samples, other than neurofilament-light (8/17 of discovery cohort). CLN biomarker concentrations were significantly greater than plasma concentrations for all except neurofilament-light, most markedly for phospho-Tau-181 (266-fold; P<0.02), whose CLN concentrations decreased with age (Spearman r=-0.66, P=0.001). This study presents the first evidence that neurodegenerative biomarkers are detectable in human CLNs. Raised CLN:plasma biomarker ratios suggest their concentration in CLNs may offer a distinct compartment for minimally-invasive measurement of brain clearance and lymphatic drainage, with potential applicability to study of ageing and future clinical trials.</p>","PeriodicalId":9063,"journal":{"name":"Brain","volume":null,"pages":null},"PeriodicalIF":10.6,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142457705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BrainPub Date : 2024-10-21DOI: 10.1093/brain/awae313
Bart E K S Swinnen, Colin W Hoy, Elena Pegolo, Bryony Ishihara, Elena Ubeda Matzilevich, Julia Sun, Francesca Morgante, Erlick Pereira, Fahd Baig, Michael Hart, Huiling Tan, Zimi Sawacha, Martijn Beudel, Sarah Wang, Philip Starr, Simon Little, Lucia Ricciardi
{"title":"Basal ganglia theta power indexes trait anxiety in people with Parkinson's disease.","authors":"Bart E K S Swinnen, Colin W Hoy, Elena Pegolo, Bryony Ishihara, Elena Ubeda Matzilevich, Julia Sun, Francesca Morgante, Erlick Pereira, Fahd Baig, Michael Hart, Huiling Tan, Zimi Sawacha, Martijn Beudel, Sarah Wang, Philip Starr, Simon Little, Lucia Ricciardi","doi":"10.1093/brain/awae313","DOIUrl":"10.1093/brain/awae313","url":null,"abstract":"<p><p>Neuropsychiatric symptoms are common and disabling in Parkinson's disease (PD), with troublesome anxiety occurring in one-third of patients. Management of anxiety in PD is challenging, hampered by insufficient insight into underlying mechanisms, lack of objective anxiety measurements, and largely ineffective treatments. In this study, we assessed the intracranial neurophysiological correlates of anxiety in PD patients treated with deep brain stimulation (DBS) in the laboratory and at home. We hypothesized that low-frequency (theta-alpha) activity would be associated with anxiety. We recorded local field potentials (LFP) from the subthalamic nucleus (STN) or the globus pallidus pars interna (GPi) DBS implants in three PD cohorts: 1) patients with recordings (STN) performed in hospital at rest via perioperatively externalized leads, without active stimulation, both ON or OFF dopaminergic medication; 2) patients with recordings (STN or GPi) performed at home while resting, via a chronically implanted commercially available sensing-enabled neurostimulator (Medtronic PerceptTM device), ON dopaminergic medication, with stimulation both on or off; 3) patients with recordings performed at home while engaging in a behavioral task via STN and GPi leads and electrocorticography paddles over premotor cortex connected to an investigational sensing-enabled neurostimulator, ON dopaminergic medication, with stimulation both on or off. Trait anxiety was measured with validated clinical scales in all participants, and state anxiety was measured with momentary assessment scales at multiple time points in the two at-home cohorts. Power in theta (4-8 Hz) and alpha (8-12 Hz) ranges were extracted from the LFP recordings, and their relation with anxiety ratings was assessed using linear mixed-effects models. In total, 33 PD patients (59 hemispheres) were included. Across three independent cohorts, with stimulation off, basal ganglia theta power was positively related to trait anxiety (all p<0.05). Also in a naturalistic setting, with individuals at home at rest with stimulation and medication ON, basal ganglia theta power was positively related to trait anxiety (p<0.05). This relationship held regardless of the hemisphere and DBS target. There was no correlation between trait anxiety and premotor cortical theta-alpha power. There was no within-patient association between basal ganglia theta-alpha power and state anxiety. We showed that basal ganglia theta activity indexes trait anxiety in PD. Our data suggest that theta could be a possible physiomarker of neuropsychiatric symptoms and specifically of anxiety in PD, potentially suitable for guiding advanced DBS treatment tailored to the individual patient's needs, including non-motor symptoms.</p>","PeriodicalId":9063,"journal":{"name":"Brain","volume":null,"pages":null},"PeriodicalIF":10.6,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142457703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BrainPub Date : 2024-10-18DOI: 10.1093/brain/awae316
Kirsty Lu, John Baker, Jennifer M Nicholas, Rebecca E Street, Sarah E Keuss, William Coath, Sarah-Naomi James, Ashvini Keshavan, Philip S J Weston, Heidi Murray-Smith, David M Cash, Ian B Malone, Andrew Wong, Nick C Fox, Marcus Richards, Sebastian J Crutch, Jonathan M Schott
{"title":"Associations between accelerated forgetting, amyloid deposition and brain atrophy in older adults","authors":"Kirsty Lu, John Baker, Jennifer M Nicholas, Rebecca E Street, Sarah E Keuss, William Coath, Sarah-Naomi James, Ashvini Keshavan, Philip S J Weston, Heidi Murray-Smith, David M Cash, Ian B Malone, Andrew Wong, Nick C Fox, Marcus Richards, Sebastian J Crutch, Jonathan M Schott","doi":"10.1093/brain/awae316","DOIUrl":"https://doi.org/10.1093/brain/awae316","url":null,"abstract":"Accelerated long-term forgetting (ALF) is the phenomenon whereby material is retained normally over short intervals (e.g. minutes) but forgotten abnormally rapidly over longer periods (days or weeks). ALF may be an early marker of cognitive decline, but little is known about its relationships with preclinical Alzheimer’s disease pathology, and how memory selectivity may influence which material is forgotten. We assessed ALF in ‘Insight 46’, a sub-study of the MRC National Survey of Health and Development (a population-based cohort born during one week in 1946) (n=429; 47% female; assessed aged ∼73 years). ALF assessment comprised visual and verbal memory tests: Complex Figure Drawing and the Face-Name Associative Memory Exam (FNAME). ALF scores were calculated as the percentage of material retained after 7 days, relative to 30 minutes. In 306 cognitively-normal participants, we investigated effects on ALF of β-amyloid pathology (quantified using 18F-Florbetapir-PET, classified as positive/negative) and whole-brain and hippocampal atrophy rate (quantified from serial T1-MRI over ∼2.4 years preceding the ALF assessment), as well as interactions between these pathologies. We categorized Complex Figure Drawing items as ‘outline’ or ‘detail’, to test our hypothesis that forgetting the outline of the structure would be more sensitive to the effect of brain pathologies. We also investigated associations between ALF and Subjective Cognitive Decline, measured with the MyCog questionnaire. Complex Figure ‘outline’ items were better retained than ‘detail’ items (mean retention over 7 days = 94% vs 72%). Amyloid-positive participants showed greater forgetting of the Complex Figure outline, compared to amyloid-negatives (90% vs 95%; P&lt;0.01). There were interactions between amyloid pathology and cerebral atrophy, such that whole-brain and hippocampal atrophy predicted greater ALF on Complex Figure Drawing among amyloid-positives only (e.g. 1.9 percentage-points lower retention per ml/year of whole-brain atrophy [95% confidence intervals 0.5, 3.7]; P&lt;0.05). Greater ALF on FNAME was associated with increased rate of hippocampal atrophy. ALF on Complex Figure Drawing also correlated with subjective cognitive decline (-0.45 percentage-points per MyCog point [-0.85, -0.05], P&lt;0.05). These results provide evidence of associations between some measures of ALF and biomarkers of brain pathologies and subjective cognitive decline in cognitively-normal older adults. On Complex Figure Drawing, ‘outline’ items were better remembered than ‘detail’ items – illustrating the strategic role of memory selectivity – but ‘outline’ items were also relatively more vulnerable to ALF in individuals with amyloid pathology. Overall, our findings suggest that ALF may be a sensitive marker of cognitive changes in preclinical Alzheimer’s disease.","PeriodicalId":9063,"journal":{"name":"Brain","volume":null,"pages":null},"PeriodicalIF":14.5,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142449591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BrainPub Date : 2024-10-17DOI: 10.1093/brain/awae328
Bénédicte Ballanger, Philippe Boulinguez
{"title":"Motor compensation in Parkinson’s disease: an empirical challenge with clinical implications","authors":"Bénédicte Ballanger, Philippe Boulinguez","doi":"10.1093/brain/awae328","DOIUrl":"https://doi.org/10.1093/brain/awae328","url":null,"abstract":"This scientific commentary refers to ‘Neurophysiological markers of motor compensatory mechanisms in early Parkinson’s disease’ by Passaretti et al. (https://doi.org/10.1093/brain/awae210).","PeriodicalId":9063,"journal":{"name":"Brain","volume":null,"pages":null},"PeriodicalIF":14.5,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142444191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BrainPub Date : 2024-10-17DOI: 10.1093/brain/awae322
Asmaa Mhanna, Joel Bruss, Joseph C Griffis, Alyssa W Sullivan, Hiroto Kawasaki, Jeffrey Binder, Sara B Pillay, Matthew A Howard, Daniel Tranel, Aaron D Boes
{"title":"Lesion and lesion network localization of dysnomia after epilepsy surgery","authors":"Asmaa Mhanna, Joel Bruss, Joseph C Griffis, Alyssa W Sullivan, Hiroto Kawasaki, Jeffrey Binder, Sara B Pillay, Matthew A Howard, Daniel Tranel, Aaron D Boes","doi":"10.1093/brain/awae322","DOIUrl":"https://doi.org/10.1093/brain/awae322","url":null,"abstract":"Temporal lobe (TL) epilepsy surgery is an effective treatment option for patients with drug-resistant epilepsy. However, neurosurgery poses a risk for cognitive deficits - up to one third of patients have a decline in naming ability following TL surgery. In this study, we aimed to better understand the neural correlates associated with reduced naming performance after TL surgery, with the goal of informing surgical planning strategies to mitigate the risk of dysnomia. We retrospectively identified 85 patients who underwent temporal lobe (TL) resective surgery (49 left TL, 36 right TL) for whom naming ability was assessed before and &gt;3 months post-surgery using the Boston Naming Test (BNT). We used multivariate lesion-symptom mapping to identify resection sites associated with naming decline, and we used lesion-network mapping to evaluate the broader functional and structural connectivity profiles of resection sites associated with naming decline. We validated our findings in an independent cohort of 59 individuals with left temporal lobectomy, along with repeating all analyses after combining the cohorts. Lesion laterality and location were important predictors of post-surgical naming performance. Naming performance significantly improved after right temporal lobectomy (P = 0.015) while a decrement in performance was observed following left temporal lobectomy (P = 0.002). Declines in naming performance were associated with surgical resection of the left anterior middle temporal gyrus (Brodmann area 21, r =0.41, P = &lt;.001), along with a previously implicated basal temporal language area. Resection sites linked to naming decline showed a functional connectivity profile featuring a left-lateralized network closely resembling the extended semantic default mode network, and a structural connectivity profile featuring major temporo-frontal association white matter tracts coursing through the temporal stem. This extends prior work by implicating the left anterior middle temporal gyrus in naming decline and provides additional support for the role of the previously identified basal temporal language area in naming decline. Importantly, the structural and functional connectivity profiles of these regions suggest they are key nodes of a broader extended semantic network. Together these regional and network findings may help in surgical planning and discussions of prognosis.","PeriodicalId":9063,"journal":{"name":"Brain","volume":null,"pages":null},"PeriodicalIF":14.5,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142449592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Clinical and genetic landscape of optic atrophy in 826 families: insights from 50 nuclear genes","authors":"Yuxi Zheng, Panfeng Wang, Shiqiang Li, Yuxi Long, Yi Jiang, Dongwei Guo, Xiaoyun Jia, Mengchu Liu, Yiyan Zeng, Xueshan Xiao, J Fielding Hejtmancik, Qingjiong Zhang, Wenmin Sun","doi":"10.1093/brain/awae324","DOIUrl":"https://doi.org/10.1093/brain/awae324","url":null,"abstract":"Hereditary optic neuropathies (HON) are a group of diseases due to genetic defects either in mitochondria or in nuclear genomes. The increasing availability of genetic testing has expanded a broader genetic and phenotypic spectrum of HON than previously recognized. To provide systematic insight into the genetic and phenotypic landscape of HON attributed to 50 nuclear genes, we conducted genetic analysis on part of 4776 index patients with clinical diagnosis of HON following our previous study on 1516 probands with Leber hereditary optic neuropathy (LHON) and mitochondrial DNA variants. Exome sequencing was performed in 473 patients diagnosed with nuclear gene-related HON (nHON) and 353 cases with unsolved LHON. Sequencing and variant interpretation in 50 causative nuclear genes indicated that the diagnostic yield of exome sequencing for nHON was 31.50% (149/473), while it was markedly lower at 1.42% (5/353) for LHON patients without primary mtDNA mutations. The top five implicated genes causing nHON in our in-house cohort, OPA1, WFS1, FDXR, ACO2, and AFG3L2, account for 82.46% of mutations. Although OPA1 was the most prevalent causative gene of nHON in both our cohort (53.25%) and literature review (37.09%), the prevalence of OPA1, WFS1, and FDXR differed significantly between our in-house cohort and the literature review (P-adjusted&lt;0.001). Fundus changes in nHON could be stratified into three categories, the most common is optic atrophy at the examination (78.79%), the rarest is LHON-like optic atrophy (3.64%), and the intermediate is optic atrophy with concurrent retinal degeneration (17.57%), which was an independent risk factor for visual prognosis in nHON. A systematic genotype-phenotype analysis highlighted different genetic contributions for ocular, extraocular neurological, and extraocular non-neurological phenotypes. In addition, systemic variant analysis at the individual gene level suggested a revised interpretation of the pathogenicity of a WFS1 heterozygous truncation variant. This study provides a panoramic summary of both the genetic and phenotypic profiles of HON in real-world studies and literature. The category for nHON fundus phenotypes is built for future studies on molecular mechanisms underlying HON and targeted therapies. In addition to routine ophthalmic examinations, careful examination of the extraocular symptoms and meaningful genetic counseling are warranted for patients with nHON.","PeriodicalId":9063,"journal":{"name":"Brain","volume":null,"pages":null},"PeriodicalIF":14.5,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142449593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BrainPub Date : 2024-10-17DOI: 10.1093/brain/awae325
Gabor G Kovacs,Yuriko Katsumata,Xian Wu,Khine Zin Aung,David W Fardo,Shelley L Forrest,,Peter T Nelson
{"title":"Amyloid-β predominant Alzheimer's disease neuropathologic change.","authors":"Gabor G Kovacs,Yuriko Katsumata,Xian Wu,Khine Zin Aung,David W Fardo,Shelley L Forrest,,Peter T Nelson","doi":"10.1093/brain/awae325","DOIUrl":"https://doi.org/10.1093/brain/awae325","url":null,"abstract":"Different subsets of Alzheimer's disease neuropathologic change (ADNC), including the intriguing set of individuals with severe/widespread Aβ plaques but no/mild tau tangles (Aβ-predominant ADNC, or AP-ADNC), may have distinct genetic and clinical features. Analyzing National Alzheimer's Coordinating Center data, we stratified 1,187 participants into AP-ADNC (n = 95), low Braak primary age related tauopathy (PART; n = 185), typical-ADNC (n = 832), and high-Braak PART (n = 75). AP-ADNC differed in some clinical features and genetic polymorphisms in the APOE, SNX1, WNT3/MAPT, and IGH genes. We conclude that AP-ADNC differs from classical ADNC with implications for in vivo studies.","PeriodicalId":9063,"journal":{"name":"Brain","volume":null,"pages":null},"PeriodicalIF":14.5,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142447950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BrainPub Date : 2024-10-16DOI: 10.1093/brain/awae264
Jan H Magielski,Sarah M Ruggiero,Julie Xian,Shridhar Parthasarathy,Peter D Galer,Shiva Ganesan,Amanda Back,Jillian L McKee,Ian McSalley,Alexander K Gonzalez,Angela Morgan,Joseph Donaher,Ingo Helbig
{"title":"The clinical and genetic spectrum of paediatric speech and language disorders.","authors":"Jan H Magielski,Sarah M Ruggiero,Julie Xian,Shridhar Parthasarathy,Peter D Galer,Shiva Ganesan,Amanda Back,Jillian L McKee,Ian McSalley,Alexander K Gonzalez,Angela Morgan,Joseph Donaher,Ingo Helbig","doi":"10.1093/brain/awae264","DOIUrl":"https://doi.org/10.1093/brain/awae264","url":null,"abstract":"Speech and language disorders are known to have a substantial genetic contribution. Although frequently examined as components of other conditions, research on the genetic basis of linguistic differences as separate phenotypic subgroups has been limited so far. Here, we performed an in-depth characterization of speech and language disorders in 52 143 individuals, reconstructing clinical histories using a large-scale data-mining approach of the electronic medical records from an entire large paediatric healthcare network. The reported frequency of these disorders was the highest between 2 and 5 years old and spanned a spectrum of 26 broad speech and language diagnoses. We used natural language processing to assess the degree to which clinical diagnoses in full-text notes were reflected in ICD-10 diagnosis codes. We found that aphasia and speech apraxia could be retrieved easily through ICD-10 diagnosis codes, whereas stuttering as a speech phenotype was coded in only 12% of individuals through appropriate ICD-10 codes. We found significant comorbidity of speech and language disorders in neurodevelopmental conditions (30.31%) and, to a lesser degree, with epilepsies (6.07%) and movement disorders (2.05%). The most common genetic disorders retrievable in our analysis of electronic medical records were STXBP1 (n = 21), PTEN (n = 20) and CACNA1A (n = 18). When assessing associations of genetic diagnoses with specific linguistic phenotypes, we observed associations of STXBP1 and aphasia (P = 8.57 × 10-7, 95% confidence interval = 18.62-130.39) and MYO7A with speech and language development delay attributable to hearing loss (P = 1.24 × 10-5, 95% confidence interval = 17.46-infinity). Finally, in a sub-cohort of 726 individuals with whole-exome sequencing data, we identified an enrichment of rare variants in neuronal receptor pathways, in addition to associations of UQCRC1 and KIF17 with expressive aphasia, MROH8 and BCHE with poor speech, and USP37, SLC22A9 and UMODL1 with aphasia. In summary, our study outlines the landscape of paediatric speech and language disorders, confirming the phenotypic complexity of linguistic traits and novel genotype-phenotype associations. Subgroups of paediatric speech and language disorders differ significantly with respect to the composition of monogenic aetiologies.","PeriodicalId":9063,"journal":{"name":"Brain","volume":null,"pages":null},"PeriodicalIF":14.5,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142443671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BrainPub Date : 2024-10-16DOI: 10.1093/brain/awae327
Yuta Katsumi, Inola A Howe, Ryan Eckbo, Bonnie Wong, Megan Quimby, Daisy Hochberg, Scott M McGinnis, Deepti Putcha, David A Wolk, Alexandra Touroutoglou, Bradford C Dickerson
{"title":"Default mode network tau predicts future clinical decline in atypical early Alzheimer’s disease","authors":"Yuta Katsumi, Inola A Howe, Ryan Eckbo, Bonnie Wong, Megan Quimby, Daisy Hochberg, Scott M McGinnis, Deepti Putcha, David A Wolk, Alexandra Touroutoglou, Bradford C Dickerson","doi":"10.1093/brain/awae327","DOIUrl":"https://doi.org/10.1093/brain/awae327","url":null,"abstract":"Identifying individuals with early-stage Alzheimer’s disease (AD) at greater risk of steeper clinical decline would enable better-informed medical, support, and life planning decisions. Despite accumulating evidence on the clinical prognostic value of tau positron emission tomography (PET) in typical late-onset amnestic AD, its utility in predicting clinical decline in individuals with atypical forms of AD remains unclear. Across heterogeneous clinical phenotypes, patients with atypical AD consistently exhibit abnormal tau accumulation in the posterior nodes of the default mode network of the cerebral cortex. This evidence suggests that tau burden in this functional network could be a common imaging biomarker for prognostication across the syndromic spectrum of AD. Here, we examined the relationship between baseline tau PET signal and the rate of subsequent clinical decline in a sample of 48 A+/T+/N+ patients with mild cognitive impairment or mild dementia due to AD with atypical clinical phenotypes: Posterior Cortical Atrophy (n = 16), logopenic variant Primary Progressive Aphasia (n = 15), and amnestic syndrome with multi-domain impairment and young age of onset &lt; 65 years (n = 17). All patients underwent magnetic resonance imaging (MRI), tau PET, and amyloid PET scans at baseline. Each patient’s longitudinal clinical decline was assessed by calculating the annualized change in the Clinical Dementia Rating Sum-of-Boxes (CDR-SB) scores from baseline to follow-up (mean time interval = 14.55 ± 3.97 months). Atypical early AD patients showed an increase in CDR-SB by 1.18 ± 1.25 points per year: t(47) = 6.56, p &lt; .001, Cohen’s d = 0.95. Across clinical phenotypes, baseline tau in the default mode network was the strongest predictor of clinical decline (R2 = .30), outperforming a simpler model with baseline clinical impairment and demographic variables (R2 = .10), tau in other functional networks (R2 = .11-.26), and the magnitude of cortical atrophy (R2 = .20) and amyloid burden (R2 = .09) in the default mode network. Overall, these findings point to the contribution of default mode network tau to predicting the magnitude of clinical decline in atypical early AD patients one year later. This simple measure could aid the development of a personalized prognostic, monitoring, and treatment plan, which would help clinicians not only predict the natural evolution of the disease but also estimate the effect of disease-modifying therapies on slowing subsequent clinical decline given the patient’s tau burden while still early in the disease course.","PeriodicalId":9063,"journal":{"name":"Brain","volume":null,"pages":null},"PeriodicalIF":14.5,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142444193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}