Additional file 1: of Neuropsychological predictors of conversion from mild cognitive impairment to Alzheimer’s disease: a feature selection ensemble combining stability and predictability

Additional file 1: of Erlangen Score as a tool to predict progression from mild cognitive impairment to dementia in Alzheimer’s disease

Inês Baldeiras (4987892)
Isabel Santana (64475)
Maria Leitão (4987898)
Daniela Vieira (6177410)
Diana Duro (4987889)
Barbara Mroczko (5696198)
Johannes Kornhuber (44072)
Piotr Lewczuk (409289)

January 2019

Table S1. Distribution of Erlangen Score neurochemical categories (0–4) across the four diagnostic g...

Additional file 3: of Predicting progression of mild cognitive impairment to dementia using neuropsychological data: a supervised learning approach using time windows

Telma Pereira (4260124)
Luís Lemos (4260121)
Sandra Cardoso (3765325)
Dina Silva (4260127)
Ana Rodrigues (356111)
Isabel Santana (64475)
Alexandre Mendonça (4260118)
Manuela Guerreiro (4260115)
Sara Madeira (728904)

July 2017

Replication of the methodology proposed in previous works [28, 29] with the data(CCC) used in our st...

Additional file 1: of A longitudinal investigation into cognition and disease progression in spinocerebellar ataxia types 1, 2, 3, 6, and 7

Amy Moriarty (3490070)
Arron Cook (3490067)
Helen Hunt (3271344)
Matthew Adams (239191)
Lisa Cipolotti (373059)
Paola Giunti (273411)

June 2016

Neuropsychological assessments, raw scores I & II. Data displayed as raw scores for each patient on ...

Additional file 2: of Neuropsychological predictors of conversion from mild cognitive impairment to Alzheimer’s disease: a feature selection ensemble combining stability and predictability

Telma Pereira (4260124)
Francisco Ferreira (3714451)
Sandra Cardoso (3765325)
Dina Silva (4260127)
Alexandre Mendonça (4260118)
Manuela Guerreiro (4260115)
Sara Madeira (728904)

December 2018

Individual and pairwise stability of the base FS algorithms used in the ensemble, using CCC data. (D...

Additional file 3: of Neuropsychological predictors of conversion from mild cognitive impairment to Alzheimer’s disease: a feature selection ensemble combining stability and predictability

Telma Pereira (4260124)
Francisco Ferreira (3714451)
Sandra Cardoso (3765325)
Dina Silva (4260127)
Alexandre Mendonça (4260118)
Manuela Guerreiro (4260115)
Sara Madeira (728904)

December 2018

Stability and classification performance of classification models learnt with an incremental number ...

Additional file 1: of Addition of the Aβ42/40 ratio to the cerebrospinal fluid biomarker profile increases the predictive value for underlying Alzheimer’s disease dementia in mild cognitive impairment

Inês Baldeiras (4987892)
Isabel Santana (64475)
Maria Leitão (4987898)
Helena Gens (4987895)
Rui Pascoal (4987904)
Miguel Tábuas-Pereira (4987907)
José Beato-Coelho (4987901)
Diana Duro (4987889)
Maria Almeida (3478688)
Catarina Oliveira (64480)

March 2018

Figure S1. Receiver operating characteristics (ROC) curves for (A) distinguishing between AD-dementi...

Additional file 1: of Alzheimer’s Disease Assessment Scale–Cognitive subscale variants in mild cognitive impairment and mild Alzheimer’s disease: change over time and the effect of enrichment strategies

Jana Podhorna (3512522)
Tillmann Krahnke (3512516)
Michael Shear (3512519)
John Harrison (3512513)

February 2016

Items of ADAS-Cog variants. Supplementary table providing details about items of ADAS-Cog variants. ...

Additional file 1: of Prediction models for dementia and neuropathology in the oldest old: the Vantaa 85+ cohort study

Anette Hall (238539)
Timo Pekkala (6253220)
Tuomo Polvikoski (3582296)
Mark Gils (6253223)
Miia Kivipelto (293118)
Jyrki LĂśtjĂśnen (4864759)
Jussi Mattila (284162)
Mia Kero (3879868)
Liisa Myllykangas (6253226)
Mira MĂ¤kelĂ¤ (6253235)
Minna Oinas (6253232)
Anders Paetau (3554798)
Hilkka Soininen (120808)
Maarit Tanskanen (3358304)
Alina Solomon (642578)

January 2019

Table S1. Sensitivity and specificity of neuropathology prediction models. Table S2. Neuropathology ...

Additional file 1: of Cognitive and affective theory of mind in dementia with Lewy bodies and Alzheimer’s disease

Camille Heitz (3453059)
Vincent Noblet (303284)
Clélie Phillipps (752479)
Benjamin Cretin (303294)
Natacha Vogt (3453050)
Nathalie Philippi (303281)
Jennifer Kemp (3453062)
Xavier de Petigny (3453056)
Mathias Bilger (3453053)
Catherine Demuynck (752478)
Catherine Martin-Hunyadi (752483)
Jean-Paul Armspach (327358)
Frédéric Blanc (303299)

March 2016

Voxel-based morphometric analysis of global atrophy in the dementia with Lewy bodies group or the Al...

Additional file 1: of Motivational processes in mild cognitive impairment and Alzheimer’s disease: results from the Motivational Reserve in Alzheimer’s (MoReA) study

Simon Forstmeier (3501044)
Andreas Maercker (371401)

November 2015

STROBE Statement—Checklist of items that should be included in reports of cohort studies. (PDF 28 kb

Additional file 2: of Prevalence and risk of progression of preclinical Alzheimer’s disease stages: a systematic review and meta-analysis

Lucilla Parnetti (120805)
Elena Chipi (6211280)
Nicola Salvadori (4283104)
Katia D’Andrea (6211286)
Paolo Eusebi (432118)

January 2019

Table S2. Cut-offs used for defining pre-clinical Alzheimer’s disease according biomarkers positivit...

Additional file 1: of Circulating levels of IL-1 family cytokines and receptors in Alzheimer’s disease: new markers of disease progression?

Paola Italiani (519267)
Ilaria Puxeddu (303574)
Sabrina Napoletano (6081056)
Emanuele Scala (6081059)
Daniela Melillo (545973)
Simone Manocchio (6081062)
Antonella Angiolillo (2795587)
Paola Migliorini (361490)
Diana Boraschi (5088)
Emilia Vitale (271466)
Alfonso Costanzo (6081065)

December 2018

Results of multiple linear regression models without control for confounding variables. Values are β...

Additional file 1: of Blood amyloid-β oligomerization associated with neurodegeneration of Alzheimer’s disease

Young Youn (4689577)
Sungmin Kang (533924)
Jeewon Suh (4689736)
Young Park (3745101)
Min Kang (287002)
Jung-Min Pyun (4689733)
Seong Choi (3415838)
Jee Jeong (6691739)
Kyung Park (3454454)
Ho-Won Lee (696033)
Seong An (4689574)
Jacqueline Dominguez (6691742)
SangYun Kim (431184)

May 2019

Figure S1. Grey matter volume reduction in the Alzheimer’s disease group (n = 39) compared to health...

Additional file 1: Figure S1. of Exploring anterograde memory: a volumetric MRI study in patients with mild cognitive impairment

N. Philippi (3535859)
V. Noblet (3535850)
E. Duron (3535853)
B. Cretin (3535877)
C. Boully (3535841)
I. Wisniewski (3535838)
M. Seux (3535847)
C. Martin-Hunyadi (3535862)
E. Chaussade (3535880)
C. Demuynck (3535844)
S. Kremer (3535835)
S. LehĂŠricy (3535907)
D. Gounot (3535871)
J. Armspach (3535874)
O. Hanon (3535856)
F. Blanc (3535865)

July 2016

Showing partial correlations between the normalized behavioural scores and the normalized volumes of...

Additional file 2: of Addition of the Aβ42/40 ratio to the cerebrospinal fluid biomarker profile increases the predictive value for underlying Alzheimer’s disease dementia in mild cognitive impairment

Inês Baldeiras (4987892)
Isabel Santana (64475)
Maria Leitão (4987898)
Helena Gens (4987895)
Rui Pascoal (4987904)
Miguel Tábuas-Pereira (4987907)
José Beato-Coelho (4987901)
Diana Duro (4987889)
Maria Almeida (3478688)
Catarina Oliveira (64480)

March 2018

Table S1. Demographic, clinical and genetic data of the MCI subgroups based on a CSF biomarker profi...

Additional file 1: of Erlangen Score as a tool to predict progression from mild cognitive impairment to dementia in Alzheimer’s disease

Inês Baldeiras (4987892)
Isabel Santana (64475)
Maria Leitão (4987898)
Daniela Vieira (6177410)
Diana Duro (4987889)
Barbara Mroczko (5696198)
Johannes Kornhuber (44072)
Piotr Lewczuk (409289)

January 2019

Table S1. Distribution of Erlangen Score neurochemical categories (0–4) across the four diagnostic g...

Additional file 3: of Predicting progression of mild cognitive impairment to dementia using neuropsychological data: a supervised learning approach using time windows

Telma Pereira (4260124)
Luís Lemos (4260121)
Sandra Cardoso (3765325)
Dina Silva (4260127)
Ana Rodrigues (356111)
Isabel Santana (64475)
Alexandre Mendonça (4260118)
Manuela Guerreiro (4260115)
Sara Madeira (728904)

July 2017

Replication of the methodology proposed in previous works [28, 29] with the data(CCC) used in our st...

Additional file 1: of A longitudinal investigation into cognition and disease progression in spinocerebellar ataxia types 1, 2, 3, 6, and 7

Amy Moriarty (3490070)
Arron Cook (3490067)
Helen Hunt (3271344)
Matthew Adams (239191)
Lisa Cipolotti (373059)
Paola Giunti (273411)

June 2016

Neuropsychological assessments, raw scores I & II. Data displayed as raw scores for each patient on ...

Additional file 2: of Neuropsychological predictors of conversion from mild cognitive impairment to Alzheimer’s disease: a feature selection ensemble combining stability and predictability

Telma Pereira (4260124)
Francisco Ferreira (3714451)
Sandra Cardoso (3765325)
Dina Silva (4260127)
Alexandre Mendonça (4260118)
Manuela Guerreiro (4260115)
Sara Madeira (728904)

December 2018

Individual and pairwise stability of the base FS algorithms used in the ensemble, using CCC data. (D...

Additional file 3: of Neuropsychological predictors of conversion from mild cognitive impairment to Alzheimer’s disease: a feature selection ensemble combining stability and predictability

Telma Pereira (4260124)
Francisco Ferreira (3714451)
Sandra Cardoso (3765325)
Dina Silva (4260127)
Alexandre Mendonça (4260118)
Manuela Guerreiro (4260115)
Sara Madeira (728904)

December 2018

Stability and classification performance of classification models learnt with an incremental number ...

Additional file 1: of Addition of the Aβ42/40 ratio to the cerebrospinal fluid biomarker profile increases the predictive value for underlying Alzheimer’s disease dementia in mild cognitive impairment

Inês Baldeiras (4987892)
Isabel Santana (64475)
Maria Leitão (4987898)
Helena Gens (4987895)
Rui Pascoal (4987904)
Miguel Tábuas-Pereira (4987907)
José Beato-Coelho (4987901)
Diana Duro (4987889)
Maria Almeida (3478688)
Catarina Oliveira (64480)

March 2018

Figure S1. Receiver operating characteristics (ROC) curves for (A) distinguishing between AD-dementi...

Additional file 1: of Alzheimer’s Disease Assessment Scale–Cognitive subscale variants in mild cognitive impairment and mild Alzheimer’s disease: change over time and the effect of enrichment strategies

Jana Podhorna (3512522)
Tillmann Krahnke (3512516)
Michael Shear (3512519)
John Harrison (3512513)

February 2016

Items of ADAS-Cog variants. Supplementary table providing details about items of ADAS-Cog variants. ...

Additional file 1: of Prediction models for dementia and neuropathology in the oldest old: the Vantaa 85+ cohort study

Anette Hall (238539)
Timo Pekkala (6253220)
Tuomo Polvikoski (3582296)
Mark Gils (6253223)
Miia Kivipelto (293118)
Jyrki LĂśtjĂśnen (4864759)
Jussi Mattila (284162)
Mia Kero (3879868)
Liisa Myllykangas (6253226)
Mira MĂ¤kelĂ¤ (6253235)
Minna Oinas (6253232)
Anders Paetau (3554798)
Hilkka Soininen (120808)
Maarit Tanskanen (3358304)
Alina Solomon (642578)

January 2019

Table S1. Sensitivity and specificity of neuropathology prediction models. Table S2. Neuropathology ...

Additional file 1: of Cognitive and affective theory of mind in dementia with Lewy bodies and Alzheimer’s disease

Camille Heitz (3453059)
Vincent Noblet (303284)
Clélie Phillipps (752479)
Benjamin Cretin (303294)
Natacha Vogt (3453050)
Nathalie Philippi (303281)
Jennifer Kemp (3453062)
Xavier de Petigny (3453056)
Mathias Bilger (3453053)
Catherine Demuynck (752478)
Catherine Martin-Hunyadi (752483)
Jean-Paul Armspach (327358)
Frédéric Blanc (303299)

March 2016

Voxel-based morphometric analysis of global atrophy in the dementia with Lewy bodies group or the Al...

Additional file 1: of Motivational processes in mild cognitive impairment and Alzheimer’s disease: results from the Motivational Reserve in Alzheimer’s (MoReA) study

Simon Forstmeier (3501044)
Andreas Maercker (371401)

November 2015

STROBE Statement—Checklist of items that should be included in reports of cohort studies. (PDF 28 kb

Additional file 2: of Prevalence and risk of progression of preclinical Alzheimer’s disease stages: a systematic review and meta-analysis

Lucilla Parnetti (120805)
Elena Chipi (6211280)
Nicola Salvadori (4283104)
Katia D’Andrea (6211286)
Paolo Eusebi (432118)

January 2019

Table S2. Cut-offs used for defining pre-clinical Alzheimer’s disease according biomarkers positivit...

Additional file 1: of Circulating levels of IL-1 family cytokines and receptors in Alzheimer’s disease: new markers of disease progression?

Paola Italiani (519267)
Ilaria Puxeddu (303574)
Sabrina Napoletano (6081056)
Emanuele Scala (6081059)
Daniela Melillo (545973)
Simone Manocchio (6081062)
Antonella Angiolillo (2795587)
Paola Migliorini (361490)
Diana Boraschi (5088)
Emilia Vitale (271466)
Alfonso Costanzo (6081065)

December 2018

Results of multiple linear regression models without control for confounding variables. Values are β...

Additional file 1: of Blood amyloid-β oligomerization associated with neurodegeneration of Alzheimer’s disease

Young Youn (4689577)
Sungmin Kang (533924)
Jeewon Suh (4689736)
Young Park (3745101)
Min Kang (287002)
Jung-Min Pyun (4689733)
Seong Choi (3415838)
Jee Jeong (6691739)
Kyung Park (3454454)
Ho-Won Lee (696033)
Seong An (4689574)
Jacqueline Dominguez (6691742)
SangYun Kim (431184)

May 2019

Figure S1. Grey matter volume reduction in the Alzheimer’s disease group (n = 39) compared to health...

Additional file 1: Figure S1. of Exploring anterograde memory: a volumetric MRI study in patients with mild cognitive impairment

N. Philippi (3535859)
V. Noblet (3535850)
E. Duron (3535853)
B. Cretin (3535877)
C. Boully (3535841)
I. Wisniewski (3535838)
M. Seux (3535847)
C. Martin-Hunyadi (3535862)
E. Chaussade (3535880)
C. Demuynck (3535844)
S. Kremer (3535835)
S. LehĂŠricy (3535907)
D. Gounot (3535871)
J. Armspach (3535874)
O. Hanon (3535856)
F. Blanc (3535865)

July 2016

Showing partial correlations between the normalized behavioural scores and the normalized volumes of...

Additional file 2: of Addition of the Aβ42/40 ratio to the cerebrospinal fluid biomarker profile increases the predictive value for underlying Alzheimer’s disease dementia in mild cognitive impairment

Inês Baldeiras (4987892)
Isabel Santana (64475)
Maria Leitão (4987898)
Helena Gens (4987895)
Rui Pascoal (4987904)
Miguel Tábuas-Pereira (4987907)
José Beato-Coelho (4987901)
Diana Duro (4987889)
Maria Almeida (3478688)
Catarina Oliveira (64480)

March 2018

Table S1. Demographic, clinical and genetic data of the MCI subgroups based on a CSF biomarker profi...

Additional file 1: of Erlangen Score as a tool to predict progression from mild cognitive impairment to dementia in Alzheimer’s disease

Inês Baldeiras (4987892)
Isabel Santana (64475)
Maria Leitão (4987898)
Daniela Vieira (6177410)
Diana Duro (4987889)
Barbara Mroczko (5696198)
Johannes Kornhuber (44072)
Piotr Lewczuk (409289)

January 2019

Table S1. Distribution of Erlangen Score neurochemical categories (0–4) across the four diagnostic g...

Additional file 3: of Predicting progression of mild cognitive impairment to dementia using neuropsychological data: a supervised learning approach using time windows

Telma Pereira (4260124)
Luís Lemos (4260121)
Sandra Cardoso (3765325)
Dina Silva (4260127)
Ana Rodrigues (356111)
Isabel Santana (64475)
Alexandre Mendonça (4260118)
Manuela Guerreiro (4260115)
Sara Madeira (728904)

July 2017

Replication of the methodology proposed in previous works [28, 29] with the data(CCC) used in our st...

Additional file 1: of A longitudinal investigation into cognition and disease progression in spinocerebellar ataxia types 1, 2, 3, 6, and 7

Amy Moriarty (3490070)
Arron Cook (3490067)
Helen Hunt (3271344)
Matthew Adams (239191)
Lisa Cipolotti (373059)
Paola Giunti (273411)

June 2016

Neuropsychological assessments, raw scores I & II. Data displayed as raw scores for each patient on ...

Additional file 1: of Neuropsychological predictors of conversion from mild cognitive impairment to Alzheimer’s disease: a feature selection ensemble combining stability and predictability

Abstract

Extracted data

Additional file 1: of Neuropsychological predictors of conversion from mild cognitive impairment to Alzheimer’s disease: a feature selection ensemble combining stability and predictability

Abstract

Extracted data

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