Literature DB >> 27894191

Identifying behavioural changes in ALS: Validation of the Beaumont Behavioural Inventory (BBI).

Marwa Elamin1, Marta Pinto-Grau1,2, Tom Burke1,2, Peter Bede1, James Rooney1, Meabhdh O'Sullivan1, Katie Lonergan1,2, Emma Kirby1, Emma Quinlan1, Nadia Breen1, Alice Vajda1, Mark Heverin1, Niall Pender2, Orla Hardiman1.   

Abstract

OBJECTIVE: Behavioural changes are an important part of amyotrophic lateral sclerosis (ALS). However, most tools do not account for the influence of motor impairment. Furthermore, they do not fully measure the broad range of behavioural changes specific to ALS. This study aimed to develop and validate an ALS specific behavioural inventory, the Beaumont Behavioural Inventory (BBI).
METHODS: The BBI was validated in a cohort of ALS patients (n = 85) and 78 age-, gender-, and education-matched controls. The scale was validated against the Frontal Systems Behaviour Scale (FrSBe) and The Frontal Assessment Battery (FAB) for convergent validity, and against other non-behavioural measures to assess discriminant validity. Reliability was assessed with Cronbach's alpha.
RESULTS: The instrument showed high internal consistency (Cronbach's alpha value =0.891). BBI scores highly correlated with the FrSBe and moderately with the FAB. However, the measure was independent from non-behavioural measures. Using a cut-off score of 7 for mild behavioural changes, the BBI displayed high sensitivity and specificity (87.9% and 78.85%, respectively). The cut-off score for moderate changes, consistent with a diagnosis of ALS-FTD, is set at 22.5, showing 90% sensitivity and 96% specificity. DISCUSSION: The BBI is a sensitive and specific tool to assess the entire behavioural spectrum of ALS.

Entities:  

Keywords:  ALS; BBI; behaviour; neuropsychology; validation

Mesh:

Year:  2016        PMID: 27894191     DOI: 10.1080/21678421.2016.1248976

Source DB:  PubMed          Journal:  Amyotroph Lateral Scler Frontotemporal Degener        ISSN: 2167-8421            Impact factor:   4.092


  24 in total

Review 1.  The imaging signature of C9orf72 hexanucleotide repeat expansions: implications for clinical trials and therapy development.

Authors:  Stacey Li Hi Shing; Mary Clare McKenna; We Fong Siah; Rangariroyashe H Chipika; Orla Hardiman; Peter Bede
Journal:  Brain Imaging Behav       Date:  2021-01-05       Impact factor: 3.978

2.  Extra-motor cerebral changes and manifestations in primary lateral sclerosis.

Authors:  Eoin Finegan; Stacey Li Hi Shing; Rangariroyashe H Chipika; Kai Ming Chang; Mary Clare McKenna; Mark A Doherty; Jennifer C Hengeveld; Alice Vajda; Niall Pender; Colette Donaghy; Siobhan Hutchinson; Russell L McLaughlin; Orla Hardiman; Peter Bede
Journal:  Brain Imaging Behav       Date:  2021-01-07       Impact factor: 3.978

3.  Speech network regional involvement in bulbar ALS: a multimodal structural MRI study.

Authors:  Sanjana Shellikeri; Matthew Myers; Sandra E Black; Agessandro Abrahao; Lorne Zinman; Yana Yunusova
Journal:  Amyotroph Lateral Scler Frontotemporal Degener       Date:  2019-05-14       Impact factor: 4.092

4.  Assessing behavioural changes in ALS: cross-validation of ALS-specific measures.

Authors:  Marta Pinto-Grau; Emmet Costello; Sarah O'Connor; Marwa Elamin; Tom Burke; Mark Heverin; Niall Pender; Orla Hardiman
Journal:  J Neurol       Date:  2017-06-09       Impact factor: 4.849

5.  Degenerative and regenerative processes in amyotrophic lateral sclerosis: motor reserve, adaptation and putative compensatory changes.

Authors:  Peter Bede; Ulrich Bogdahn; Jasmin Lope; Kai Ming Chang; Sophia Xirou; Foteini Christidi
Journal:  Neural Regen Res       Date:  2021-06       Impact factor: 5.135

6.  Regional prefrontal cortical atrophy predicts specific cognitive-behavioral symptoms in ALS-FTD.

Authors:  Elena Ratti; Kimiko Domoto-Reilly; Christina Caso; Alyssa Murphy; Michael Brickhouse; Daisy Hochberg; Nikos Makris; Merit E Cudkowicz; Bradford C Dickerson
Journal:  Brain Imaging Behav       Date:  2021-02-15       Impact factor: 3.224

Review 7.  Recent advances in the diagnosis and prognosis of amyotrophic lateral sclerosis.

Authors:  Stephen A Goutman; Orla Hardiman; Ammar Al-Chalabi; Adriano Chió; Masha G Savelieff; Matthew C Kiernan; Eva L Feldman
Journal:  Lancet Neurol       Date:  2022-03-22       Impact factor: 59.935

8.  A Cross-sectional population-based investigation into behavioral change in amyotrophic lateral sclerosis: subphenotypes, staging, cognitive predictors, and survival.

Authors:  Tom Burke; Marta Pinto-Grau; Katie Lonergan; Peter Bede; Meabhdh O'Sullivan; Mark Heverin; Alice Vajda; Russell L McLaughlin; Niall Pender; Orla Hardiman
Journal:  Ann Clin Transl Neurol       Date:  2017-04-11       Impact factor: 4.511

9.  Cortical progression patterns in individual ALS patients across multiple timepoints: a mosaic-based approach for clinical use.

Authors:  Marlene Tahedl; Rangariroyashe H Chipika; Jasmin Lope; Stacey Li Hi Shing; Orla Hardiman; Peter Bede
Journal:  J Neurol       Date:  2021-01-05       Impact factor: 4.849

10.  Mismatch Negativity as an Indicator of Cognitive Sub-Domain Dysfunction in Amyotrophic Lateral Sclerosis.

Authors:  Parameswaran Mahadeva Iyer; Kieran Mohr; Michael Broderick; Brighid Gavin; Tom Burke; Peter Bede; Marta Pinto-Grau; Niall P Pender; Russell McLaughlin; Alice Vajda; Mark Heverin; Edmund C Lalor; Orla Hardiman; Bahman Nasseroleslami
Journal:  Front Neurol       Date:  2017-08-15       Impact factor: 4.003

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