Literature DB >> 32055654

Thalamic, hippocampal and basal ganglia pathology in primary lateral sclerosis and amyotrophic lateral sclerosis: Evidence from quantitative imaging data.

Eoin Finegan1, Stacey Li Hi Shing1, Rangariroyashe H Chipika1, Mary C McKenna1, Mark A Doherty2, Jennifer C Hengeveld2, Alice Vajda2, Colette Donaghy3, Russell L McLaughlin2, Siobhan Hutchinson4, Orla Hardiman1, Peter Bede1.   

Abstract

Primary lateral sclerosis and amyotrophic lateral sclerosis are primarily associated with motor cortex and corticospinal tract pathology. A standardised, prospective, single-centre neuroimaging protocol was used to characterise thalamic, hippocampal and basal ganglia involvement in 33 patients with primary lateral sclerosis (PLS), 100 patients with amyotrophic lateral sclerosis (ALS), and 117 healthy controls. "Widespread subcortical grey matter degeneration in primary lateral sclerosis: a multimodal imaging study with genetic profiling" [1] Imaging data were acquired on a 3 T MRI system using a 3D Inversion Recovery prepared Spoiled Gradient Recalled echo sequence. Model based segmentation was used to estimate the volumes of the thalamus, hippocampus, amygdala, caudate, pallidum, putamen and accumbens nucleus in each hemisphere. The hippocampus was further parcellated into cytologically-defined subfields. Total intracranial volume (TIV) was estimated for each participant to aid the interpretation of subcortical volume alterations. Group comparisons were corrected for age, gender, TIV, education and symptom duration. Considerable thalamic, hippocampal and accumbens nucleus atrophy was detected in PLS compared to healthy controls and selective dentate, molecular layer, CA1, CA3, and CA4 hippocampal pathology was also identified. In ALS, additional volume reductions were noted in the amygdala, left caudate and the hippocampal-amygdala transition area of the hippocampus. Our imaging data provide evidence of extensive and phenotype-specific patterns of subcortical degeneration in PLS.
© 2020 The Authors. Published by Elsevier Inc.

Entities:  

Keywords:  Amyotrophic lateral sclerosis; Basal ganglia; Biomarkers; Hippocampus; MRI; Neuroimaging; Primary lateral sclerosis; Thalamus

Year:  2020        PMID: 32055654      PMCID: PMC7005372          DOI: 10.1016/j.dib.2020.105115

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table This dataset confirms extensive extra-motor involvement in primary lateral sclerosis (PLS) The data reveal evidence of considerable thalamic, hippocampal, accumbens, amygdala and caudate atrophy in PLS The data confirm divergent subcortical imaging signatures in ALS and PLS The presented data may guide future post mortem studies to characterise pTDP-43 load in subcortical grey matter structures.

Data

The majority of primary lateral sclerosis and amyotrophic lateral sclerosis studies focus on the motor cortex and corticospinal tracts [[2], [3], [4], [5]]. In this dataset (Table 1) we present total intracranial volume, thalamus, hippocampus, amygdala, caudate, pallidum, putamen and accumbens nucleus volumes for 33 patients with primary lateral sclerosis, 100 patients with amyotrophic lateral sclerosis and 117 age and gender-matched healthy controls. Data for bilateral structures are presented separately. Additionally, we provide hippocampal subfield volume estimates for the CA1, CA2/3, CA4, fimbria, subiculum, hippocampal tail, molecular layer, dentate gyrus, and hippocampal-amygdala transition area (HATA). Accompanying clinical and demographic characteristics are presented to highlight that the patient groups were matched for age, gender and ALSFRS-r and differed in years of education and symptom duration. Raw subcortical volumetric data (Fig. 1) and raw hippocampal subfield characteristics (Fig. 2) are presented in box plots for each cohort. The estimated marginal means and standard error of subcortical structures adjusted for the relevant clinical, radiological and demographic variables (age, gender, education, total intracranial volume, symptom duration) are summarised in Table 2, and hippocampal subfield profiles are presented in Table 3 using the same covariates. Based on estimated marginal means corrected for age, gender, total intracranial volumes and education, the comparative profile of the two patient groups are also illustrated in radar plots with reference to healthy controls. Contrary to our original paper [1] where percentage change was presented as absolute values, here, ‘100%’ represents the estimated marginal means of healthy controls as normative values and the concentric circles depict the selective atrophy profiles of the ALS and PLS cohorts (Fig. 3, Fig. 4).
Table 1

Data categories and measures ALS = amyotrophic lateral sclerosis; ALSFRS-R = amyotrophic lateral sclerosis functional rating scale-revised; PLS = Primary lateral sclerosis; CA = Cornu Ammonis; GC-DG = granule cell layer of the dentate gyrus; HATA = hippocampus-amygdala transition area, Lt = Left, Rt = Right.

Data categoriesSpecific measures
Demographic variablesAge (year)
Gender (Male/Female)
Years of education (years)
Handedness (Rt/Lt)
Clinical data for ALS and PLSSymptom duration (months)
ALSFRS-R (max 48)
Subcortical grey matter structure volumeshippocampus (mm3)
amygdala (mm3)
thalamus (mm3)
nucleus accumbens (mm3)
caudate nucleus (mm3)
putamen (mm3)
pallidum (mm3)
Hippocampal subfield volumesCA1 (mm3)
CA2/CA3 (mm3)
CA4 (mm3)
Fimbria (mm3)
Subiculum (mm3)
Molecular layer (mm3)
GC-ML-DG (mm3)
HATA (mm3)
Fig. 1

Subcortical grey matter volumes in primary lateral sclerosis (PLS), amyotrophic lateral sclerosis (ALS) and healthy controls (HC).

Fig. 2

Hippocampal subfield volumes in primary lateral sclerosis (PLS), amyotrophic lateral sclerosis (ALS) and healthy controls (HC). CA = Cornu Ammonis; GC-ML-DG = Granule Cell and Molecular Layer of the Dentate Gyrus; HATA = hippocampus-amygdala transition area.

Table 2

The demographic, clinical and subcortical grey matter profile of the three groups. ALSFRS-r = the revised ALS functional rating scale, EMM = estimated marginal mean, M = Mean, N/a = Not applicable, SE = standard error, SD = standard deviation. Estimate marginal means are adjusted with the following values age = 58.77, gender = 1.45, education = 13.78, and total intracranial volume = 1429699.38.

PLSn = 33ALSn = 100Healthy Controlsn = 117p value
Age M/SD60.5 (10.5)59.8 (11.2)57.4 (11.9)0.19
Gender (M/F)19/1462/3856/610.11
Education (years) M/SD12.9 (3.4)13.5 (3.2)14.3 (3.3)0.04
Handedness (R/L)29/490/10109/80.55
ALSFRS-r (max 48) M/SD34.4 (5.3)36.6 (7.5)N/a0.11
Symptom Duration (months) M/SD121.76 (68.7)20.6 (14.3)N/a7.1E-16
Total intracranial volume (mm3) M/SD1439675.5 (145614.1)1440623.0(149085.7)1417549.2 (128172.3)0.432
Hippocampus (Left) EMM/SE3566.6 (84.4)3624.1 (48.5)3805.1 (45.1)0.007
Hippocampus (Right) EMM/SE3707.4 (85.4)3739.1 (49.1)3888.5 (45.7)0.045
Amygdala (Left) EMM/SE1189.4 (42.3)1124.0 (24.4)1213.9 (22.7)0.03
Amygdala (Right) EMM/SE1144.2 (44.0)1111.2 (25.3)1178.8 (23.5)0.16
Thalamus (Left) EMM/SE7044.0 (97.9)7376.1 (56.3)7614.0 (52.4)2E-6
Thalamus (Right) EMM/SE6896.5 (81.5)7181.9 (52.6)7402.8 (48.9)5E-6
Nucleus accumbens (Left) EMM/SE473.8 (19.6)465.8 (11.3)493.8 (10.5)0.19
Nucleus accumbens (Right) EMM/SE326.9 (19.0)339.6 (10.9)378.2 (10.2)0.01
Caudate nucleus (Left) EMM/SE3283.3 (60.0)3287.5 (34.5)3409.6 (32.1)0.02
Caudate nucleus (Right) EMM/SE3412.4 (66.3)3506.8 (38.1)3576.7 (35.5)0.08
Putamen (Left) EMM/SE4550.8 (82.3)4620.7 (47.3)4692.2 (44.0)0.27
Putamen (Right) EMM/SE4625.6 (86.7)4674.1 (50.0)4741.9 (46.3)0.41
Pallidum (Left) EMM/SE1733.7 (36.3)1751.6 (20.8)1773.1 (19.4)0.58
Pallidum (Right) EMM/SE1713.7 (40.5)1775.4 (23.3)1779.5 (21.7)0.34
Table 3

The hippocampal profile of the three groups. ALSFRS-r = the revised ALS functional rating scale, EMM = estimated marginal mean, M = Mean, N/a = Not applicable, SE = standard error, SD = standard deviation. Estimate marginal means are adjusted with the following values age = 58.77, gender = 1.45, education = 13.78, and total intracranial volume = 1429699.38.

PLSn = 33ALSn = 100Healthy Controlsn = 117p value
CA1 (mm3) EMM/SE632.8 (10.8)642.2 (6.2)660.5 (5.8)0.03
CA2/CA3 (mm3) EMM/SE214.1 (5.0)212.6 (2.9)227.6 (2.7)5.2E-4
CA4 (mm3) EMM/SE254.6 (4.6)257.0 (2.6)270.0 (2.5)4.2E-4
Fimbria (mm3) EMM/SE74.9 (2.9)75.6 (1.6)77.1 (1.5)0.72
Subiculum (mm3) EMM/SE421.6 (7.4)428.9 (4.3)438.7 (4.0)0.08
Molecular layer (mm3) EMM/SE559.5 (9.3)563.5 (5.4)589.3 (5.0)6.5E-4
GC-ML-DG (mm3) EMM/SE292.3 (5.4)296.5 (3.1)311.8 (2.9)2.9E-4
HATA (mm3) EMM/SE62.7 (1.5)62.2 (0.9)65.1 (0.8)0.04
Fig. 3

The subcortical volumetric profile of PLS and ALS with reference to healthy controls. Estimated marginal means of volumes were calculated for each structure with the following values age = 58.77, gender = 1.45, education = 13.78, and total intracranial volume = 1429699.38. The estimated marginal means of healthy controls represent 100%.

Fig. 4

The hippocampal volumetric profile of PLS and ALS with reference to healthy controls. Estimated marginal means of volumes were calculated for each structure with the following values age = 58.77, gender = 1.45, education = 13.78, and total intracranial volume = 1429699.38. The estimated marginal means of healthy controls represent 100%.

Data categories and measures ALS = amyotrophic lateral sclerosis; ALSFRS-R = amyotrophic lateral sclerosis functional rating scale-revised; PLS = Primary lateral sclerosis; CA = Cornu Ammonis; GC-DG = granule cell layer of the dentate gyrus; HATA = hippocampus-amygdala transition area, Lt = Left, Rt = Right. Subcortical grey matter volumes in primary lateral sclerosis (PLS), amyotrophic lateral sclerosis (ALS) and healthy controls (HC). Hippocampal subfield volumes in primary lateral sclerosis (PLS), amyotrophic lateral sclerosis (ALS) and healthy controls (HC). CA = Cornu Ammonis; GC-ML-DG = Granule Cell and Molecular Layer of the Dentate Gyrus; HATA = hippocampus-amygdala transition area. The demographic, clinical and subcortical grey matter profile of the three groups. ALSFRS-r = the revised ALS functional rating scale, EMM = estimated marginal mean, M = Mean, N/a = Not applicable, SE = standard error, SD = standard deviation. Estimate marginal means are adjusted with the following values age = 58.77, gender = 1.45, education = 13.78, and total intracranial volume = 1429699.38. The hippocampal profile of the three groups. ALSFRS-r = the revised ALS functional rating scale, EMM = estimated marginal mean, M = Mean, N/a = Not applicable, SE = standard error, SD = standard deviation. Estimate marginal means are adjusted with the following values age = 58.77, gender = 1.45, education = 13.78, and total intracranial volume = 1429699.38. The subcortical volumetric profile of PLS and ALS with reference to healthy controls. Estimated marginal means of volumes were calculated for each structure with the following values age = 58.77, gender = 1.45, education = 13.78, and total intracranial volume = 1429699.38. The estimated marginal means of healthy controls represent 100%. The hippocampal volumetric profile of PLS and ALS with reference to healthy controls. Estimated marginal means of volumes were calculated for each structure with the following values age = 58.77, gender = 1.45, education = 13.78, and total intracranial volume = 1429699.38. The estimated marginal means of healthy controls represent 100%.

Experimental design, materials, and methods

Following institutional ethics approval, patients were recruited from a national motor neuron disease clinic and data were acquired with a standardised protocol [6]. Participating ALS patients were diagnosed according to the El Escorial research criteria and PLS patients were diagnosed according to the Gordon criteria. The protocol was specifically designed to characterise subcortical grey matter degeneration in PLS based on evidence of extra-motor involvement in other motor neuron diseases [[7], [8], [9], [10], [11]]. T1-weighted images were acquired with a spatial resolution of 1 × 1 × 1mm and field of view of 256 × 256 × 160 mm using a 3D Inversion Recovery prepared Spoiled Gradient Recalled echo (IR-SPGR) sequence. Pulse sequence settings are as follows: repetition time (TR) = 8.5 ms, echo time (TE) = 3.9 ms, Inversion time (TI) = 1060 ms, flip angle = 8°, SENSE factor = 1.5 [12]. Raw MRI data underwent thorough quality control before pre-processing. Following ‘deskulling’ and spatial registration, model based segmentation was used the estimate subcortical volumes using FSL-FIRST of the FMRIB's Software Library (FSL) [13,14]. Raw volumetric data were recorded for the hippocampus, amygdala, thalamus, nucleus accumbens, caudate nucleus, putamen, and pallidum in each hemisphere. Subsequently, the hippocampus of each participant was segmented into cytologically-defined subfields using version 6.0 of the FreeSurfer image analysis suite to estimate volumes of the CA1, CA2/3, CA4, fimbria, subiculum, hippocampal tail, molecular layer, dentate gyrus, and the hippocampal-amygdala transition area [15]. Analyses of covariance (ANCOVA) were used to explore intergroup volumetric differences using age, education, gender and TIV as covariates [16,17]. PLS versus ALS contrasts were also corrected for symptom duration. To illustrate disease-specific volumetric traits in PLS and ALS, the estimated marginal means of each structure were plotted on radar charts with reference to healthy controls.

Specifications Table

SubjectPrimary Lateral Sclerosis, Radiology, Neuroimaging
Specific subject areaMRI, Grey matter volumetry, Hippocampus
Type of dataVolumetric neuroimaging data with standardised acquisition
How data were acquiredImaging data were acquired on a Philips Achieva 3T MRI scanner (Philips Medical Systems, Best, The Netherlands) with an 8-channel head coil.
Data formatEstimated marginal means and standard error for subcortical grey matter structures and hippocampal subfields adjusted for total-intracranial volume, age, gender, and education.
Parameters for data collection3D–T1-weighted sequence: spatial resolution: 1 × 1 × 1 mm, Field of view: 256 × 256 × 160 mm, TR/TE = 8.5/3.9 ms, TI = 1060 ms, flip angle = 8°, SENSE factor = 1.5, sagittal acquisition; 256 slices.
Description of data collectionThe protocol, consent forms, recruitment procedures, and data management were approved by the institutional ethics committee. All participants provided informed consent prior to inclusion.Participating ALS patients were diagnosed according to the El Escorial research criteria and PLS patients were diagnosed according to the Gordon criteria. Patients underwent standardised neurological assessments and MRI data were acquired with uniform pulse sequence settings and anonymised.
Data source locationInstitution: Computational neuroimaging group, Trinity Biomedical Sciences Institute, Trinity College DublinCity/Town/Region: DublinCountry: Ireland
Data accessibilityThe subcortical grey matter profile and hippocampal subfield features of the three groups are presented as raw data in box plots and contrasted in statistical tables using the relevant covariates.
Related research articleAuthors: Eoin Finegan, Stacey Li Hi Shing, Rangariroyashe H. Chipika, Mark A. Doherty, Jennifer C. Hengeveld, Alice Vajda, Colette Donaghy, Niall Pender, Russell L. McLaughlin, Orla Hardiman, Peter BedeTitle: Widespread subcortical grey matter degeneration in primary lateral sclerosis: a multimodal imaging study with genetic profilingJournal: Neuroimage ClinicalDOI: https://doi.org/10.1016/j.nicl.2019.102089
Value of the Data

This dataset confirms extensive extra-motor involvement in primary lateral sclerosis (PLS)

The data reveal evidence of considerable thalamic, hippocampal, accumbens, amygdala and caudate atrophy in PLS

The data confirm divergent subcortical imaging signatures in ALS and PLS

The presented data may guide future post mortem studies to characterise pTDP-43 load in subcortical grey matter structures.

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Journal:  Amyotroph Lateral Scler Frontotemporal Degener       Date:  2013-12-18       Impact factor: 4.092

2.  Connectivity-based characterisation of subcortical grey matter pathology in frontotemporal dementia and ALS: a multimodal neuroimaging study.

Authors:  Peter Bede; Taha Omer; Eoin Finegan; Rangariroyashe H Chipika; Parameswaran M Iyer; Mark A Doherty; Alice Vajda; Niall Pender; Russell L McLaughlin; Siobhan Hutchinson; Orla Hardiman
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4.  Longitudinal structural changes in ALS: a three time-point imaging study of white and gray matter degeneration.

Authors:  Peter Bede; Orla Hardiman
Journal:  Amyotroph Lateral Scler Frontotemporal Degener       Date:  2017-12-07       Impact factor: 4.092

5.  Neuroimaging patterns along the ALS-FTD spectrum: a multiparametric imaging study.

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Journal:  Amyotroph Lateral Scler Frontotemporal Degener       Date:  2017-05-31       Impact factor: 4.092

6.  Hippocampal pathology in amyotrophic lateral sclerosis: selective vulnerability of subfields and their associated projections.

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Journal:  Neurobiol Aging       Date:  2019-09-23       Impact factor: 4.673

Review 7.  Clinical and Radiological Markers of Extra-Motor Deficits in Amyotrophic Lateral Sclerosis.

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Review 8.  Pathological Crying and Laughing in Motor Neuron Disease: Pathobiology, Screening, Intervention.

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9.  The clinical and radiological profile of primary lateral sclerosis: a population-based study.

Authors:  Eoin Finegan; Rangariroyashe H Chipika; Stacey Li Hi Shing; Mark A Doherty; Jennifer C Hengeveld; Alice Vajda; Colette Donaghy; Russell L McLaughlin; Niall Pender; Orla Hardiman; Peter Bede
Journal:  J Neurol       Date:  2019-07-19       Impact factor: 4.849

10.  Widespread subcortical grey matter degeneration in primary lateral sclerosis: a multimodal imaging study with genetic profiling.

Authors:  Eoin Finegan; Stacey Li Hi Shing; Rangariroyashe H Chipika; Mark A Doherty; Jennifer C Hengeveld; Alice Vajda; Colette Donaghy; Niall Pender; Russell L McLaughlin; Orla Hardiman; Peter Bede
Journal:  Neuroimage Clin       Date:  2019-11-12       Impact factor: 4.881

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